pgBadger-
Global information
- Generated on Sun Apr 30 15:00:40 2023
- Log file: /home/postgres/pg_data/data/pg_log/postgresql-2023-04-30_160000.log, ..., /home/postgres/pg_data/data/pg_log/postgresql-2023-04-30_161652.log
- Parsed 1,293,347 log entries in 1m38s
- Log start from 2023-04-30 16:00:00 to 2023-04-30 16:59:57
-
Overview
Global Stats
- 2,802 Number of unique normalized queries
- 173,394 Number of queries
- 59m43s Total query duration
- 2023-04-30 16:00:00 First query
- 2023-04-30 16:59:57 Last query
- 2,108 queries/s at 2023-04-30 16:29:54 Query peak
- 59m43s Total query duration
- 21s23ms Prepare/parse total duration
- 4m8s Bind total duration
- 55m13s Execute total duration
- 73 Number of events
- 3 Number of unique normalized events
- 68 Max number of times the same event was reported
- 0 Number of cancellation
- 36 Total number of automatic vacuums
- 45 Total number of automatic analyzes
- 586 Number temporary file
- 107.26 MiB Max size of temporary file
- 2.17 MiB Average size of temporary file
- 7,077 Total number of sessions
- 10 sessions at 2023-04-30 16:50:22 Session peak
- 1d10h7m29s Total duration of sessions
- 17s359ms Average duration of sessions
- 24 Average queries per session
- 506ms Average queries duration per session
- 16s852ms Average idle time per session
- 7,081 Total number of connections
- 58 connections/s at 2023-04-30 16:35:43 Connection peak
- 1 Total number of databases
SQL Traffic
Key values
- 2,108 queries/s Query Peak
- 2023-04-30 16:29:54 Date
SELECT Traffic
Key values
- 205 queries/s Query Peak
- 2023-04-30 16:31:43 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 2,049 queries/s Query Peak
- 2023-04-30 16:29:54 Date
Queries duration
Key values
- 59m43s Total query duration
Prepared queries ratio
Key values
- 0.00 Ratio of bind vs prepare
- 0.00 % Ratio between prepared and "usual" statements
General Activity
↑ Back to the top of the General Activity tableDay Hour Count Min duration Max duration Avg duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Apr 30 16 173,394 0ms 22s844ms 19ms 1m50s 2m27s 2m42s Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Apr 30 16 40,809 26 8ms 5s613ms 17s541ms 21s366ms Day Hour INSERT UPDATE DELETE COPY FROM Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Apr 30 16 118,997 855 16 96 5ms 659ms 40s233ms 48s35ms Day Hour Prepare Bind Bind/Prepare Percentage of prepare Apr 30 16 42,449 154,667 3.64 26.09% Day Hour Count Average / Second Apr 30 16 7,081 1.97/s Day Hour Count Average Duration Average idle time Apr 30 16 7,077 17s359ms 16s890ms -
Connections
Established Connections
Key values
- 58 connections Connection Peak
- 2023-04-30 16:35:43 Date
Connections per database
Key values
- acaweb_fx Main Database
- 7,081 connections Total
Connections per user
Key values
- postgres Main User
- 7,081 connections Total
Connections per host
Key values
- 192.168.1.23 Main host with 2661 connections
- 7,081 Total connections
Host Count 127.0.0.1 122 172.10.1.90 23 192.168.0.216 162 192.168.0.239 443 192.168.0.42 57 192.168.1.135 17 192.168.1.145 1 192.168.1.20 1 192.168.1.201 1,421 192.168.1.23 2,661 192.168.1.239 142 192.168.1.25 6 192.168.1.250 46 192.168.1.44 125 192.168.2.126 18 192.168.2.205 28 192.168.2.82 44 192.168.3.199 93 192.168.4.142 1,099 192.168.4.98 306 [local] 266 -
Sessions
Simultaneous sessions
Key values
- 10 sessions Session Peak
- 2023-04-30 16:50:22 Date
Histogram of session times
Key values
- 6,486 0-500ms duration
Sessions per database
Key values
- acaweb_fx Main Database
- 7,077 sessions Total
Sessions per user
Key values
- postgres Main User
- 7,077 sessions Total
Sessions per host
Key values
- 192.168.1.23 Main Host
- 7,077 sessions Total
Host Count Total Duration Average Duration 127.0.0.1 121 55m3s 27s302ms 172.10.1.90 23 1m58s 5s138ms 192.168.0.216 162 15m44s 5s831ms 192.168.0.239 443 2h11m14s 17s774ms 192.168.0.42 57 1s704ms 29ms 192.168.1.135 17 1h3m30s 3m44s 192.168.1.145 1 1h10m4s 1h10m4s 192.168.1.20 1 1h40m4s 1h40m4s 192.168.1.201 1,421 2h5m46s 5s310ms 192.168.1.23 2,661 2h15m7s 3s46ms 192.168.1.239 142 1s94ms 7ms 192.168.1.25 6 43ms 7ms 192.168.1.250 46 11h9m5s 14m32s 192.168.1.44 125 2s838ms 22ms 192.168.2.126 18 5s667ms 314ms 192.168.2.205 28 2h3m 4m23s 192.168.2.82 44 3h29m22s 4m45s 192.168.3.100 2 4h12m18s 2h6m9s 192.168.3.199 93 5m36s 3s615ms 192.168.4.142 1,094 1h26m54s 4s766ms 192.168.4.98 306 11s483ms 37ms [local] 266 2m14s 507ms -
Checkpoints / Restartpoints
Checkpoints Buffers
Key values
- 22,260 buffers Checkpoint Peak
- 2023-04-30 16:09:59 Date
- 209.955 seconds Highest write time
- 0.007 seconds Sync time
Checkpoints Wal files
Key values
- 13 files Wal files usage Peak
- 2023-04-30 16:09:59 Date
Checkpoints distance
Key values
- 401.60 Mo Distance Peak
- 2023-04-30 16:09:59 Date
Checkpoints Activity
↑ Back to the top of the Checkpoint Activity tableDay Hour Written buffers Write time Sync time Total time Apr 30 16 77,752 2,424.429s 0.03s 2,424.686s Day Hour Added Removed Recycled Synced files Longest sync Average sync Apr 30 16 0 0 49 1,846 0.006s 0s Day Hour Count Avg time (sec) Apr 30 16 0 0s Day Hour Mean distance Mean estimate Apr 30 16 67,444.00 kB 148,588.33 kB -
Temporary Files
Size of temporary files
Key values
- 63.37 MiB Temp Files size Peak
- 2023-04-30 16:17:14 Date
Number of temporary files
Key values
- 63 per second Temp Files Peak
- 2023-04-30 16:17:14 Date
Temporary Files Activity
↑ Back to the top of the Temporary Files Activity tableDay Hour Count Total size Average size Apr 30 16 586 1.24 GiB 2.17 MiB Queries generating the most temporary files (N)
Rank Count Total size Min size Max size Avg size Query 1 159 702.93 MiB 2.84 MiB 8.67 MiB 4.42 MiB with rar_max as ( ;-
WITH rar_max as ( ;
Date: 2023-04-30 16:16:55 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver
2 19 70.95 MiB 3.73 MiB 3.73 MiB 3.73 MiB select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as relevant, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid left outer join relevance_keylevels_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.qtytp >= ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:35:45 Duration: 255ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:45 Duration: 232ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:20:46 Duration: 228ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver
3 12 49.78 MiB 4.15 MiB 4.15 MiB 4.15 MiB select distinct patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzos, dftt.timezone as tz, longname, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as relevant from symbols s inner join brokersymbollist b on s.symbolid = b.symbolid inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join autochartist_results a on a.symbolid = s.symbolid inner join patterns p on a.pattern = p.patternname left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and (((s.symbol ilike ? and timegranularity <= ?);-
/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((s.symbol ilike '%usdchf%' AND timegranularity <= 1440);
Date: 2023-04-30 16:19:43 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver
4 4 428.99 MiB 107.23 MiB 107.26 MiB 107.25 MiB select updateageforrelevantresults ();-
select updateageforrelevantresults ();
Date: 2023-04-30 16:02:18 Duration: 16s452ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateageforrelevantresults ();
Date: 2023-04-30 16:17:18 Duration: 16s6ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateageforrelevantresults ();
Date: 2023-04-30 16:32:17 Duration: 14s724ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
5 3 14.94 MiB 4.98 MiB 4.98 MiB 4.98 MiB select resultuid from relevance_fibonacci_results order by resultuid desc limit ?), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end), all_results as ( select fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join lateral calc_fib_signal_filter (fr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp)))), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;-
SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244)) AND ($245 = 0 OR fr.pattern in ($246)) AND ($247 = 0 OR fr.patternlengthbars <= $248) AND ($249 = 0 OR ($250 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($251 = 2 AND fr.timed < cast('1970-01-01' as timestamp)))), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $252 OR relevant = 1) AND ($253 = 0 OR age <= $254) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:40:32 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.20 Application: PostgreSQL JDBC Driver
6 1 3.30 MiB 3.30 MiB 3.30 MiB 3.30 MiB select resultuid from relevance_consecutivecandles_results order by resultuid desc limit ?), all_results as ( select ccr.resultuid as resultuid, ccr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ccr.patternendtime as identified, dtt.timezone as timezone, ccr.qtyconsecutivecandles as length, g.basegroupname, case when rcr.age is not null then rcr.age when ccr.resultuid <= rm.resultuid then ? else ? end as age, case when rcr.relevant is not null then rcr.relevant when ccr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip, newlevels.filtered from consecutivecandles_results ccr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = ccr.symbolid inner join symbols s on ccr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on ccr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on ccr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join rar_max rm on ? = ? left outer join relevance_consecutivecandles_results rcr on rcr.resultuid = ccr.resultuid left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? left join lateral calc_cc_signal_filter (ccr.resultuid) newlevels on true where ccr.gmttimefound > now() - interval ? and s.deleted = ? and (ccr.simulation = ? or ccr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ccr.patternlengthbars <= ?)), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;-
SELECT resultuid FROM relevance_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $1 AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ($2 = 0 OR s.timegranularity in ($3, $4, $5, $6, $7, $8, $9)) AND ($10 = 0 OR s.exchange in ($11)) AND ($12 = 0 OR coalesce(bim.code, s.symbol) in ($13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243)) AND ($244 = 0 OR ccr.patternlengthbars <= $245)), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $246 OR relevant = 1) AND ($247 = 0 OR age <= $248) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:35:51 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver
7 1 3.51 MiB 3.51 MiB 3.51 MiB 3.51 MiB select resultuid from relevance_fibonacci_results order by resultuid desc limit ?), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end), all_results as ( select fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp)))), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;-
SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322, $323, $324, $325)) AND ($326 = 0 OR fr.pattern in ($327)) AND ($328 = 0 OR fr.patternlengthbars <= $329) AND ($330 = 0 OR ($331 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($332 = 2 AND fr.timed < cast('1970-01-01' as timestamp)))), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $333 OR relevant = 1) AND ($334 = 0 OR age <= $335) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:16:02 Duration: 0ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown]
Queries generating the largest temporary files
Rank Size Query 1 107.26 MiB select updateageforrelevantresults ();[ Date: 2023-04-30 16:17:08 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2 107.26 MiB select updateageforrelevantresults ();[ Date: 2023-04-30 16:47:06 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3 107.24 MiB select updateageforrelevantresults ();[ Date: 2023-04-30 16:32:06 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
4 107.23 MiB select updateageforrelevantresults ();[ Date: 2023-04-30 16:02:07 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
5 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:00:37 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
6 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:05:37 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
7 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:10:35 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
8 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:15:35 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
9 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:20:34 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
10 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:25:34 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
11 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:30:34 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
12 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:35:37 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
13 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:40:36 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
14 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:45:36 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
15 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:50:36 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
16 8.67 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:55:35 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.135 - Application: PostgreSQL JDBC Driver ]
17 4.99 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:56:10 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver ]
18 4.99 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:39:22 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver ]
19 4.98 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:48:36 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver ]
20 4.98 MiB WITH rar_max as ( ;[ Date: 2023-04-30 16:50:32 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.145 - Application: PostgreSQL JDBC Driver ]
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Vacuums
Vacuums / Analyzes Distribution
Key values
- 0 sec Highest CPU-cost vacuum
Table
Database - Date
- 0 sec Highest CPU-cost analyze
Table
Database - Date
Analyzes per table
Key values
- public.solr_relevance_old (16) Main table analyzed (database acaweb_fx)
- 45 analyzes Total
Table Number of analyzes acaweb_fx.public.solr_relevance_old 16 acaweb_fx.public.datafeeds_latestrun 7 acaweb_fx.pg_catalog.pg_attribute 5 acaweb_fx.pg_catalog.pg_class 3 acaweb_fx.pg_catalog.pg_type 2 acaweb_fx.public.latest_t15_candle_view 2 acaweb_fx.public.latest_candle_datetime_per_receng 2 acaweb_fx.pg_catalog.pg_index 1 acaweb_fx.public.prfsymboltree 1 acaweb_fx.public.mat_ps_hourly_symbolid_max_enddate 1 acaweb_fx.public.autochartist_symbolupdates 1 acaweb_fx.pg_catalog.pg_depend 1 acaweb_fx.public.mat_ps_daily_symbolid_max_enddate 1 acaweb_fx.public.relevance_autochartist_results 1 acaweb_fx.public.relevance_fibonacci_results 1 Total 45 Vacuums per table
Key values
- public.solr_relevance_old (16) Main table vacuumed on database acaweb_fx
- 36 vacuums Total
Index Buffer usage Skipped WAL usage Table Vacuums scans hits misses dirtied pins frozen records full page bytes acaweb_fx.public.solr_relevance_old 16 16 25,583 0 59 0 0 16,788 4,288 18,066,195 acaweb_fx.public.datafeeds_latestrun 7 0 834 0 24 0 0 126 22 99,711 acaweb_fx.public.latest_t15_candle_view 2 2 130 0 2 0 0 12 2 18,014 acaweb_fx.pg_catalog.pg_index 1 1 89 0 12 0 0 32 11 81,458 acaweb_fx.pg_toast.pg_toast_2619 1 1 122 0 29 0 0 96 27 104,207 acaweb_fx.public.prfsymboltree 1 0 188 0 6 0 0 47 1 11,464 acaweb_fx.public.mat_ps_hourly_symbolid_max_enddate 1 0 59 0 5 0 0 17 1 9,399 acaweb_fx.pg_catalog.pg_type 1 1 164 0 24 0 0 53 20 116,518 acaweb_fx.pg_catalog.pg_statistic 1 1 884 0 182 0 655 503 149 611,933 acaweb_fx.pg_catalog.pg_attribute 1 1 872 0 178 0 59 387 159 881,944 acaweb_fx.public.mat_ps_daily_symbolid_max_enddate 1 0 80 0 5 0 0 16 1 9,352 acaweb_fx.public.relevance_keylevels_results 1 1 3,782 0 619 0 493 1,146 601 3,080,689 acaweb_fx.pg_catalog.pg_class 1 1 394 0 66 0 39 138 67 254,129 acaweb_fx.public.relevance_fibonacci_results 1 1 1,256 0 113 0 31 265 103 506,747 Total 36 26 34,437 5,780 1,324 0 1,277 19,626 5,452 23,851,760 Tuples removed per table
Key values
- public.solr_relevance_old (41064) Main table with removed tuples on database acaweb_fx
- 44806 tuples Total removed
Index Tuples Pages Table Vacuums scans removed remain not yet removable removed remain acaweb_fx.public.solr_relevance_old 16 16 41,064 210,201 0 0 6,709 acaweb_fx.pg_catalog.pg_attribute 1 1 1,250 9,224 0 0 239 acaweb_fx.public.relevance_keylevels_results 1 1 753 28,556 0 0 853 acaweb_fx.pg_catalog.pg_statistic 1 1 592 4,123 0 0 1,194 acaweb_fx.public.datafeeds_latestrun 7 0 412 181 6 0 126 acaweb_fx.public.relevance_fibonacci_results 1 1 233 2,569 0 0 127 acaweb_fx.pg_catalog.pg_class 1 1 188 1,978 0 0 150 acaweb_fx.public.latest_t15_candle_view 2 2 121 50 0 0 2 acaweb_fx.pg_catalog.pg_type 1 1 90 1,288 0 0 36 acaweb_fx.pg_toast.pg_toast_2619 1 1 72 170 1 0 49 acaweb_fx.pg_catalog.pg_index 1 1 31 806 0 0 22 acaweb_fx.public.prfsymboltree 1 0 0 2,915 0 0 42 acaweb_fx.public.mat_ps_hourly_symbolid_max_enddate 1 0 0 2,699 0 0 15 acaweb_fx.public.mat_ps_daily_symbolid_max_enddate 1 0 0 2,468 0 0 14 Total 36 26 44,806 267,228 7 0 9,578 Pages removed per table
Key values
- unknown (0) Main table with removed pages on database unknown
- 0 pages Total removed
Pages removed per tables
NO DATASET
Table Number of vacuums Index scans Tuples removed Pages removed acaweb_fx.pg_catalog.pg_index 1 1 31 0 acaweb_fx.pg_toast.pg_toast_2619 1 1 72 0 acaweb_fx.public.prfsymboltree 1 0 0 0 acaweb_fx.public.mat_ps_hourly_symbolid_max_enddate 1 0 0 0 acaweb_fx.pg_catalog.pg_type 1 1 90 0 acaweb_fx.public.datafeeds_latestrun 7 0 412 0 acaweb_fx.pg_catalog.pg_statistic 1 1 592 0 acaweb_fx.pg_catalog.pg_attribute 1 1 1250 0 acaweb_fx.public.latest_t15_candle_view 2 2 121 0 acaweb_fx.public.mat_ps_daily_symbolid_max_enddate 1 0 0 0 acaweb_fx.public.relevance_keylevels_results 1 1 753 0 acaweb_fx.pg_catalog.pg_class 1 1 188 0 acaweb_fx.public.solr_relevance_old 16 16 41064 0 acaweb_fx.public.relevance_fibonacci_results 1 1 233 0 Total 36 26 44,806 0 Autovacuum Activity
↑ Back to the top of the Autovacuum Activity tableDay Hour VACUUMs ANALYZEs Apr 30 16 36 45 - 0 sec Highest CPU-cost vacuum
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Locks
Locks by types
Key values
- unknown Main Lock Type
- 0 locks Total
Most frequent waiting queries (N)
Rank Count Total time Min time Max time Avg duration Query NO DATASET
Queries that waited the most
Rank Wait time Query NO DATASET
-
Queries
Queries by type
Key values
- 40,809 Total read queries
- 121,879 Total write queries
Queries by database
Key values
- acaweb_fx Main database
- 173,394 Requests
- 55m13s (acaweb_fx)
- Main time consuming database
Queries by user
Key values
- postgres Main user
- 170,499 Requests
User Request type Count Duration pgperfstats Total 2,895 9m33s insert 575 9m27s select 2,320 5s968ms postgres Total 170,499 45m40s copy from 96 10s827ms copy to 26 2s811ms cte 1,261 39m17s ddl 16 364ms delete 16 20ms insert 118,422 25s845ms others 10,706 11s112ms select 38,489 5m26s tcl 612 195ms update 855 5s507ms Duration by user
Key values
- 45m40s (postgres) Main time consuming user
User Request type Count Duration pgperfstats Total 2,895 9m33s insert 575 9m27s select 2,320 5s968ms postgres Total 170,499 45m40s copy from 96 10s827ms copy to 26 2s811ms cte 1,261 39m17s ddl 16 364ms delete 16 20ms insert 118,422 25s845ms others 10,706 11s112ms select 38,489 5m26s tcl 612 195ms update 855 5s507ms Queries by host
Key values
- 192.168.4.142 Main host
- 112,366 Requests
- 19m49s (192.168.1.250)
- Main time consuming host
Host Request type Count Duration 127.0.0.1 Total 5,839 29s894ms copy to 26 2s811ms cte 22 217ms insert 2,774 2s669ms others 36 0ms select 2,668 23s813ms update 313 380ms 172.10.1.90 Total 92 141ms others 46 5ms select 42 47ms update 4 88ms 182.165.1.42 Total 120 6m35s cte 60 6m35s select 60 0ms 192.168.0.216 Total 648 380ms others 324 23ms select 316 276ms update 8 80ms 192.168.0.236 Total 6 1ms cte 3 1ms select 3 0ms 192.168.0.239 Total 3,399 13s743ms others 886 7ms select 2,513 13s735ms 192.168.0.42 Total 1,663 5s522ms cte 5 9ms insert 3 4ms others 114 0ms select 1,541 5s507ms 192.168.1.135 Total 1,154 2m cte 351 1m59s others 34 0ms select 769 532ms 192.168.1.145 Total 242 5m22s cte 60 5m22s others 2 0ms select 180 318ms 192.168.1.20 Total 242 5m31s cte 60 5m31s others 2 0ms select 180 341ms 192.168.1.201 Total 12,870 1m14s cte 6 21ms insert 5 5ms others 2,842 30ms select 10,005 1m14s update 12 0ms 192.168.1.210 Total 76 3ms select 76 3ms 192.168.1.23 Total 18,579 1m24s cte 8 32ms insert 1 1ms others 5,322 48ms select 13,242 1m24s update 6 0ms 192.168.1.239 Total 568 285ms others 284 20ms select 284 264ms 192.168.1.25 Total 6 9ms select 6 9ms 192.168.1.250 Total 3,388 19m49s cte 588 19m28s others 92 0ms select 2,708 20s821ms 192.168.1.44 Total 434 255ms insert 32 30ms others 375 2ms select 27 222ms 192.168.1.97 Total 24 20ms cte 2 2ms select 22 17ms 192.168.2.126 Total 30 27ms others 12 0ms select 18 27ms 192.168.2.205 Total 104 4s325ms insert 4 4s184ms others 48 4ms select 48 59ms update 4 77ms 192.168.2.82 Total 7,023 15s165ms insert 6,199 9s940ms others 88 7ms select 600 4s863ms update 136 353ms 192.168.3.100 Total 2,895 9m33s insert 575 9m27s select 2,320 5s968ms 192.168.3.199 Total 372 308ms others 186 15ms select 174 161ms update 12 132ms 192.168.4.142 Total 112,366 9s868ms insert 109,404 9s8ms select 2,962 860ms 192.168.4.98 Total 924 7s861ms others 6 7s45ms select 6 16ms tcl 612 195ms update 300 603ms [local] Total 330 2m14s copy from 96 10s827ms cte 96 20s554ms ddl 16 364ms delete 16 20ms others 7 3s898ms select 39 1m35s update 60 3s790ms Queries by application
Key values
- [unknown] Main application
- 135,756 Requests
- 35m42s (PostgreSQL JDBC Driver)
- Main time consuming application
Application Request type Count Duration PostgreSQL JDBC Driver Total 37,014 35m42s cte 1,078 32m21s insert 9 11ms others 4,659 48ms select 31,250 3m20s update 18 1ms [unknown] Total 135,756 17m13s cte 67 6m35s insert 118,956 9m53s others 5,915 7s164ms select 9,441 36s196ms tcl 612 195ms update 765 1s698ms dreamfactory Total 184 253ms insert 32 30ms others 125 0ms select 27 222ms psql Total 440 2m17s copy from 96 10s827ms copy to 26 2s811ms cte 116 20s724ms ddl 16 364ms delete 16 20ms others 7 3s898ms select 91 1m35s update 72 3s808ms Number of cancelled queries
Key values
- 0 per second Cancelled query Peak
- 2023-04-30 16:34:36 Date
Number of cancelled queries (5 minutes period)
NO DATASET
-
Top Queries
Histogram of query times
Key values
- 152,381 0-1ms duration
Slowest individual queries
Rank Duration Query 1 22s844ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:00:53 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
2 21s204ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:55:51 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
3 21s84ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:10:51 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.145 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
4 20s872ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:05:51 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
5 19s921ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:00:49 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.145 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
6 19s610ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:05:49 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.20 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
7 18s540ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:05:48 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.145 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
8 18s85ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:35:48 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
9 18s72ms WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:06:10 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
10 17s560ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:56:10 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
11 17s448ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:20:47 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.20 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
12 17s414ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:15:47 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.145 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
13 17s264ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:15:47 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.20 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
14 17s239ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:25:47 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.20 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
15 17s232ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:10:47 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.20 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
16 16s703ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:10:47 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
17 16s683ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:15:47 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
18 16s670ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:45:47 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
19 16s652ms WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:01:10 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
20 16s622ms WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;[ Date: 2023-04-30 16:20:46 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
Time consuming queries
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 15m2s 96 4s461ms 16s239ms 9s395ms with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end ), all_results as ( select kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where kr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc limit ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Apr 30 16 96 15m2s 9s395ms [ User: postgres - Total duration: 15m2s - Times executed: 96 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 15m2s - Times executed: 96 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC LIMIT 200;
Date: 2023-04-30 16:00:53 Duration: 16s239ms Database: acaweb_fx User: postgres Remote: 192.168.1.20 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC LIMIT 200;
Date: 2023-04-30 16:01:11 Duration: 15s855ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC LIMIT 200;
Date: 2023-04-30 16:06:10 Duration: 15s793ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
2 7m6s 96 847ms 21s84ms 4s437ms with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ), ar as ( select a.*, rr.age, rr.relevant from autochartist_results a left outer join relevance_autochartist_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_autochartist_results) end ), all_results as ( select ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? else ? end as age, case when ar.relevant is not null then ar.relevant when ar.resultuid <= rm.resultuid then ? else ? end as relevant from ar inner join symbols s on ar.symbolid = s.symbolid and s.nonliquid = ? inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = s.symbolid inner join symbolgroup sg on bsl.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on sg.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where ar.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ar.pattern in (...)) and (? = ? or (? = ? and ar.breakout >= ?) or (? = ? and ar.breakout < ?)) and (? = ? or ar.patternlengthbars <= ?) and newlevels.filtered = false ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Apr 30 16 96 7m6s 4s437ms [ User: postgres - Total duration: 7m6s - Times executed: 96 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 7m6s - Times executed: 96 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:10:51 Duration: 21s84ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:00:49 Duration: 19s921ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:05:49 Duration: 19s610ms Database: acaweb_fx User: postgres Remote: 192.168.1.20 Application: PostgreSQL JDBC Driver Bind query: yes
3 5m12s 96 1s443ms 6s333ms 3s255ms with rar_max as ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ? ), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end ), all_results as ( select fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join lateral calc_fib_signal_filter (fr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp))) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Apr 30 16 96 5m12s 3s255ms [ User: postgres - Total duration: 5m12s - Times executed: 96 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 5m12s - Times executed: 96 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR fr.pattern in ('')) AND ('400' = 0 OR fr.patternlengthbars <= '400') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:05:54 Duration: 6s333ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR fr.pattern in ('')) AND ('400' = 0 OR fr.patternlengthbars <= '400') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:00:55 Duration: 5s508ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR fr.pattern in ('')) AND ('400' = 0 OR fr.patternlengthbars <= '400') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:17:00 Duration: 5s79ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
4 4m30s 20 334ms 22s844ms 13s505ms with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ), ar as ( select a.*, rr.age, rr.relevant from autochartist_results a left outer join relevance_autochartist_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_autochartist_results) end ), all_results as ( select ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? else ? end as age, case when ar.relevant is not null then ar.relevant when ar.resultuid <= rm.resultuid then ? else ? end as relevant from ar inner join symbols s on ar.symbolid = s.symbolid and s.nonliquid = ? inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = s.symbolid inner join symbolgroup sg on bsl.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on sg.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where ar.gmttimefound > now() - interval ? and dss.enabled = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ar.pattern in (...)) and (? = ? or (? = ? and ar.breakout >= ?) or (? = ? and ar.breakout < ?)) and (? = ? or ar.patternlengthbars <= ?) and newlevels.filtered = false ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Apr 30 16 20 4m30s 13s505ms [ User: postgres - Total duration: 4m30s - Times executed: 20 ]
[ Application: [unknown] - Total duration: 3m34s - Times executed: 12 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 55s190ms - Times executed: 8 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:00:53 Duration: 22s844ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:55:51 Duration: 21s204ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:05:51 Duration: 20s872ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
5 3m56s 20 245ms 18s72ms 11s814ms with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end ), all_results as ( select kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Apr 30 16 20 3m56s 11s814ms [ User: postgres - Total duration: 3m56s - Times executed: 20 ]
[ Application: [unknown] - Total duration: 2m54s - Times executed: 12 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m1s - Times executed: 8 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:06:10 Duration: 18s72ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:01:10 Duration: 16s652ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:11:04 Duration: 16s240ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
6 1m10s 60 196ms 4s262ms 1s171ms with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ), ar as ( select a.*, rr.age, rr.relevant from autochartist_results a left outer join relevance_autochartist_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_autochartist_results) end ), results as ( select distinct on (s.symbolid) ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? else ? end as age, case when ar.relevant is not null then ar.relevant when ar.resultuid <= rm.resultuid then ? else ? end as relevant from ar inner join symbols s on ar.symbolid = s.symbolid and s.nonliquid = ? inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = s.symbolid inner join symbolgroup sg on bsl.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on sg.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true where ar.gmttimefound > now() - interval ? and dss.enabled = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or ar.pattern in (...)) and (? = ? or (? = ? and ar.breakout >= ?) or (? = ? and ar.breakout < ?)) and (? = ? or ar.patternlengthbars <= ?) and newlevels.filtered = false order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Apr 30 16 60 1m10s 1s171ms [ User: postgres - Total duration: 1m10s - Times executed: 60 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m10s - Times executed: 60 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:00:34 Duration: 4s262ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:05:34 Duration: 4s146ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:55:33 Duration: 3s55ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
7 1m8s 2,097 0ms 255ms 32ms select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as relevant, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid left outer join relevance_keylevels_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.qtytp >= ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Apr 30 16 2,097 1m8s 32ms [ User: postgres - Total duration: 1m8s - Times executed: 2097 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m8s - Times executed: 2097 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:35:45 Duration: 255ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:45 Duration: 232ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:20:46 Duration: 228ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
8 1m1s 4 14s44ms 16s452ms 15s306ms select updateageforrelevantresults ();Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Apr 30 16 4 1m1s 15s306ms [ User: postgres - Total duration: 1m1s - Times executed: 4 ]
[ Application: psql - Total duration: 1m1s - Times executed: 4 ]
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select updateageforrelevantresults ();
Date: 2023-04-30 16:02:18 Duration: 16s452ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateageforrelevantresults ();
Date: 2023-04-30 16:17:18 Duration: 16s6ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateageforrelevantresults ();
Date: 2023-04-30 16:32:17 Duration: 14s724ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
9 44s494ms 60 83ms 3s180ms 741ms with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end ), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Apr 30 16 60 44s494ms 741ms [ User: postgres - Total duration: 44s494ms - Times executed: 60 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 44s494ms - Times executed: 60 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:00:37 Duration: 3s180ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:05:37 Duration: 3s98ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:15:35 Duration: 2s167ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
10 29s426ms 31 12ms 3s536ms 949ms select fixcandlegaps (?, false);Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Apr 30 16 31 29s426ms 949ms [ User: postgres - Total duration: 29s426ms - Times executed: 31 ]
[ Application: psql - Total duration: 29s426ms - Times executed: 31 ]
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select fixcandlegaps ('LEGACYFXMT5', false);
Date: 2023-04-30 16:06:08 Duration: 3s536ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select fixcandlegaps ('XM', false);
Date: 2023-04-30 16:06:12 Duration: 2s838ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select fixcandlegaps ('ATFX', false);
Date: 2023-04-30 16:06:18 Duration: 2s12ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
11 28s610ms 96 42ms 1s260ms 298ms with rar_max as ( select resultuid from relevance_consecutivecandles_results order by resultuid desc limit ? ), all_results as ( select ccr.resultuid as resultuid, ccr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ccr.patternendtime as identified, dtt.timezone as timezone, ccr.qtyconsecutivecandles as length, g.basegroupname, case when rcr.age is not null then rcr.age when ccr.resultuid <= rm.resultuid then ? else ? end as age, case when rcr.relevant is not null then rcr.relevant when ccr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip, newlevels.filtered from consecutivecandles_results ccr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = ccr.symbolid inner join symbols s on ccr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on ccr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on ccr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join rar_max rm on ? = ? left outer join relevance_consecutivecandles_results rcr on rcr.resultuid = ccr.resultuid left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? left join lateral calc_cc_signal_filter (ccr.resultuid) newlevels on true where ccr.gmttimefound > now() - interval ? and s.deleted = ? and (ccr.simulation = ? or ccr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ccr.patternlengthbars <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Apr 30 16 96 28s610ms 298ms [ User: postgres - Total duration: 28s610ms - Times executed: 96 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 28s610ms - Times executed: 96 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1 ), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('400' = 0 OR ccr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:16:07 Duration: 1s260ms Database: acaweb_fx User: postgres Remote: 192.168.1.20 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1 ), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('400' = 0 OR ccr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:06:11 Duration: 1s240ms Database: acaweb_fx User: postgres Remote: 192.168.1.20 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1 ), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('400' = 0 OR ccr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:01:12 Duration: 1s113ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
12 23s686ms 8 1s623ms 4s326ms 2s960ms with rar_max as ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ? ), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end ), all_results as ( select fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join lateral calc_fib_signal_filter (fr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp))) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Apr 30 16 8 23s686ms 2s960ms [ User: postgres - Total duration: 23s686ms - Times executed: 8 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 23s686ms - Times executed: 8 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR fr.pattern in ('')) AND ('0' = 0 OR fr.patternlengthbars <= '0') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:56:14 Duration: 4s326ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR fr.pattern in ('')) AND ('0' = 0 OR fr.patternlengthbars <= '0') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:09:30 Duration: 4s272ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR fr.pattern in ('')) AND ('0' = 0 OR fr.patternlengthbars <= '0') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:39:27 Duration: 4s245ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
13 20s804ms 846 3ms 680ms 24ms select distinct on (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname from brokergroups bg inner join symbolgroup sg on bg.groupid = sg.groupid inner join symbols s on sg.symbolid = s.symbolid inner join brokersymbollist bsl on s.symbolid = bsl.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join groups g on bg.groupid = g.groupid left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where bsl.brokerid = ? and bg.brokerid = ? and dss.enabled = ? and s.nonliquid = ? and s.deleted = ? order by basegroupname, symbol;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Apr 30 16 846 20s804ms 24ms [ User: postgres - Total duration: 20s804ms - Times executed: 846 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 20s804ms - Times executed: 846 ]
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '667' AND bg.brokerid = '667' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2023-04-30 16:01:02 Duration: 680ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '667' AND bg.brokerid = '667' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2023-04-30 16:15:58 Duration: 672ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '667' AND bg.brokerid = '667' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2023-04-30 16:01:07 Duration: 668ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
14 16s869ms 16 1s32ms 1s80ms 1s54ms with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then ? else ? end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then ? else ? end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike ? inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike ?) sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike ?; update solr_relevance_old set newrelevant = ? where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike ? and a.resultuid is null); update solr_relevance_old set new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total from ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total from whatshot_probability where type in (...)) sub where result_uid = sub.resultuid;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Apr 30 16 16 16s869ms 1s54ms [ User: postgres - Total duration: 16s869ms - Times executed: 16 ]
[ Application: psql - Total duration: 16s869ms - Times executed: 16 ]
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with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid;
Date: 2023-04-30 16:01:13 Duration: 1s80ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid;
Date: 2023-04-30 16:56:13 Duration: 1s75ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid;
Date: 2023-04-30 16:33:14 Duration: 1s71ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
15 16s81ms 154 26ms 1s709ms 104ms select distinct k.symbolid, p.resultuid, k.symbolid, k.bandwidth, k.direction, k.patternendtime, k.patternprice, k.patternlengthbars, k.breakoutbars, k.uniquepointsvalue, k.predictionpricefrom, k.predictionpriceto, k.furthestprice, k.patternclassid from relevance_keylevels_results p inner join keylevels_results k on p.resultuid = k.resultuid inner join autochartist_stocklist asl on k.symbolid = asl.symbolid where k.patternclassid in (...) and asl.enabled = ? and asl.recognitionengine ilike ?;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Apr 30 16 154 16s81ms 104ms [ User: postgres - Total duration: 16s81ms - Times executed: 154 ]
[ Application: [unknown] - Total duration: 16s81ms - Times executed: 154 ]
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SELECT DISTINCT k.symbolid, p.resultuid, k.symbolid, k.bandwidth, k.direction, k.patternendtime, k.patternprice, k.patternlengthbars, k.breakoutbars, k.uniquepointsvalue, k.predictionpricefrom, k.predictionpriceto, k.furthestprice, k.patternclassid FROM relevance_keylevels_results p INNER JOIN keylevels_results k ON p.resultuid = k.resultuid INNER JOIN autochartist_stocklist asl ON k.symbolid = asl.symbolid WHERE k.patternclassid in (1, 2) AND asl.enabled = 1 AND asl.recognitionengine ILIKE 'LEGACYFXMT5 - 1';
Date: 2023-04-30 16:15:10 Duration: 1s709ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
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SELECT DISTINCT k.symbolid, p.resultuid, k.symbolid, k.bandwidth, k.direction, k.patternendtime, k.patternprice, k.patternlengthbars, k.breakoutbars, k.uniquepointsvalue, k.predictionpricefrom, k.predictionpriceto, k.furthestprice, k.patternclassid FROM relevance_keylevels_results p INNER JOIN keylevels_results k ON p.resultuid = k.resultuid INNER JOIN autochartist_stocklist asl ON k.symbolid = asl.symbolid WHERE k.patternclassid in (1, 2) AND asl.enabled = 1 AND asl.recognitionengine ILIKE 'XM - 2';
Date: 2023-04-30 16:21:34 Duration: 1s187ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
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SELECT DISTINCT k.symbolid, p.resultuid, k.symbolid, k.bandwidth, k.direction, k.patternendtime, k.patternprice, k.patternlengthbars, k.breakoutbars, k.uniquepointsvalue, k.predictionpricefrom, k.predictionpriceto, k.furthestprice, k.patternclassid FROM relevance_keylevels_results p INNER JOIN keylevels_results k ON p.resultuid = k.resultuid INNER JOIN autochartist_stocklist asl ON k.symbolid = asl.symbolid WHERE k.patternclassid in (1, 2) AND asl.enabled = 1 AND asl.recognitionengine ILIKE 'LEADERCAPITAL2 - 1';
Date: 2023-04-30 16:26:22 Duration: 460ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
16 15s348ms 480 0ms 130ms 31ms select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as relevant, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid left outer join relevance_keylevels_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.qtytp >= ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? and ((rar.age is null and a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)) or rar.age >= ( case c.timegranularity when ? then ? when ? then ? when ? then ? when ? then ? when ? then ? end)) order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Apr 30 16 480 15s348ms 31ms [ User: postgres - Total duration: 15s348ms - Times executed: 480 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 15s348ms - Times executed: 480 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '1164393647' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= ( case c.timegranularity when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:34:24 Duration: 130ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '1164393647' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= ( case c.timegranularity when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:22:24 Duration: 125ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '1164393647' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= ( case c.timegranularity when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:30:24 Duration: 120ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
17 15s3ms 570 0ms 110ms 26ms select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.qtytp >= ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by patternendtime desc, qtp desc limit ?;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Apr 30 16 570 15s3ms 26ms [ User: postgres - Total duration: 15s3ms - Times executed: 570 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 15s3ms - Times executed: 570 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '2135540087' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:06 Duration: 110ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 558 AND sg.groupid = 515852059751072308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '1901812087' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:02:15 Duration: 105ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 529 AND sg.groupid = 515852059714438308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '120006327' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:06 Duration: 97ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
18 9s756ms 80 3ms 402ms 121ms copy solr_relevance_old (uuid, relevant, age, result_uid) from stdin with ( format csv, header);Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Apr 30 16 80 9s756ms 121ms [ User: postgres - Total duration: 9s756ms - Times executed: 80 ]
[ Application: psql - Total duration: 9s756ms - Times executed: 80 ]
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COPY solr_relevance_old (uuid, relevant, age, result_uid) FROM STDIN WITH ( FORMAT csv, HEADER);
Date: 2023-04-30 16:50:13 Duration: 402ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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COPY solr_relevance_old (uuid, relevant, age, result_uid) FROM STDIN WITH ( FORMAT csv, HEADER);
Date: 2023-04-30 16:11:12 Duration: 277ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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COPY solr_relevance_old (uuid, relevant, age, result_uid) FROM STDIN WITH ( FORMAT csv, HEADER);
Date: 2023-04-30 16:01:12 Duration: 274ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
19 9s700ms 18 492ms 715ms 538ms insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?);Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Apr 30 16 18 9s700ms 538ms [ User: pgperfstats - Total duration: 9s700ms - Times executed: 18 ]
[ Application: [unknown] - Total duration: 9s700ms - Times executed: 18 ]
-
insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 930, '2023-04-30 00:00:00', 0.336452076825225, 1.33, 0.897570795722168, 1.99666666666667, 1.03522944316706, 2.24, 1.39478791697282, 3.53333333333333, 4.68680061449173, 10.37 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 945, '2023-04-30 00:00:00', 0.864349466361842, 1.65, 0.899685130105705, 1.87333333333333, 0.941753683295159, 2.23, 1.17817655722733, 3.46, 4.93601391137963, 10.2833333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 960, '2023-04-30 00:00:00', 0.140118997046544, 1.03666666666666, 0.240624188310315, 1.19999999999999, 0.21501937897162, 1.66333333333334, 0.5720431219177, 2.82666666666666, 5.48245383017495, 9.74 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 975, '2023-04-30 00:00:00', 0.119303534454498, 0.813333333333323, 0.342198772645379, 1.14, 0.49541228621557, 1.84333333333332, 0.454312667664029, 2.72999999999999, 5.48754954419547, 9.69 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 990, '2023-04-30 00:00:00', 0.582578237318733, 1.31545454545454, 0.577832380314793, 1.61045454545454, 0.603268873167956, 1.88, 0.991125993973895, 2.58454545454546, 3.01931147364623, 7.27681818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1005, '2023-04-30 00:00:00', 0.28597255642859, 0.892272727272727, 0.447531952473619, 1.22090909090909, 0.551038374383573, 1.62636363636364, 0.814619264107192, 2.34954545454546, 3.04681197376261, 7.25818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1020, '2023-04-30 00:00:00', 0.242435781651777, 0.773181818181818, 0.359676381719873, 1.04636363636363, 0.442994532521741, 1.42818181818182, 0.685335573631521, 2.14909090909091, 3.0229148299719, 7.23954545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1035, '2023-04-30 00:00:00', 0.188622828492661, 0.704999999999997, 0.259411588589198, 0.980909090909092, 0.424617984664372, 1.36636363636364, 0.60976913522119, 1.99227272727273, 2.97708830267171, 7.215 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1050, '2023-04-30 00:00:00', 0.211126129184056, 0.611363636363637, 0.250376772362233, 0.871363636363634, 0.426120118016454, 1.26454545454545, 0.536860361378122, 1.94, 3.02095094113502, 7.23727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1065, '2023-04-30 00:00:00', 0.241541316946415, 0.612272727272725, 0.315004638184775, 0.917727272727274, 0.436708467646652, 1.14, 0.571152097619118, 1.92363636363637, 3.33342627576053, 7.35454545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1080, '2023-04-30 00:00:00', 0.225692297137081, 0.66318181818182, 0.303400996211556, 0.829545454545453, 0.412344159201639, 1.07090909090909, 0.581807342296211, 1.92954545454546, 3.32364622702601, 7.41363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1095, '2023-04-30 00:00:00', 0.192664165115054, 0.536363636363633, 0.212154481002698, 0.699999999999999, 0.384318140217757, 1.04636363636364, 0.598328298885113, 1.96590909090909, 3.33184997297661, 7.44363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1110, '2023-04-30 00:00:00', 0.204529340394605, 0.513181818181815, 0.319503470298009, 0.734090909090911, 0.411055288515364, 1.00954545454546, 0.588939173980937, 1.97272727272728, 3.4063577239807, 7.48590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1125, '2023-04-30 00:00:00', 0.241954523293104, 0.520909090909094, 0.319358461356244, 0.752272727272729, 0.329245825869995, 0.941363636363638, 0.825186322918931, 2.06909090909091, 3.31311002714188, 7.73136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1140, '2023-04-30 00:00:00', 0.232262073950248, 0.521363636363635, 0.226517011965894, 0.666363636363636, 0.256271974034084, 0.869090909090908, 0.827193659700889, 2.06272727272727, 3.38640064188503, 7.94045454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1155, '2023-04-30 00:00:00', 0.153645456837899, 0.415454545454547, 0.194975855981153, 0.601818181818182, 0.240252843003842, 0.804999999999996, 1.51791723334071, 2.85181818181818, 3.50649456188857, 8.11772727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1170, '2023-04-30 00:00:00', 0.196078988412754, 0.457727272727271, 0.190404559041783, 0.60409090909091, 0.246160560701798, 0.790454545454541, 1.51265691826698, 2.965, 3.76553819819663, 8.29272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1185, '2023-04-30 00:00:00', 0.109442704771514, 0.395909090909093, 0.144614729240906, 0.569090909090903, 0.245231580630492, 0.773636363636362, 1.51484715557772, 3.06, 3.93750621520845, 8.33863636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1200, '2023-04-30 00:00:00', 0.128551706039014, 0.417272727272721, 0.186148593068277, 0.55318181818181, 0.285796903639404, 0.833181818181815, 1.51636619924623, 3.04954545454545, 4.0822743215472, 8.39727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1215, '2023-04-30 00:00:00', 0.148569659496631, 0.404090909090905, 0.214756985382466, 0.584090909090909, 0.301456780444876, 0.869999999999996, 1.57892971585788, 3.16, 4.16241937638858, 8.43272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1230, '2023-04-30 00:00:00', 0.186719805361635, 0.405000000000001, 0.25028511879982, 0.610454545454547, 0.381627864338842, 0.912727272727273, 1.57444527439918, 3.14727272727272, 4.16728383308055, 8.42454545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1245, '2023-04-30 00:00:00', 0.13701913159936, 0.441363636363638, 0.232386917991697, 0.646818181818181, 0.360916642053013, 0.89318181818182, 1.51077601114267, 3.11818181818181, 4.1620710587201, 8.44454545454546 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1260, '2023-04-30 00:00:00', 0.143874193480912, 0.399545454545455, 0.267785935701093, 0.570454545454547, 0.408741336935084, 0.918636363636368, 1.52050914234281, 3.12636363636364, 4.18530248923622, 8.43954545454546 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1275, '2023-04-30 00:00:00', 0.243250000556145, 0.410909090909093, 0.259112705090652, 0.631818181818183, 0.53085653241592, 1.04909090909091, 1.49796051826666, 3.12, 4.18661392382748, 8.45863636363637 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1290, '2023-04-30 00:00:00', 0.140226316764793, 0.445909090909091, 0.304561284075263, 0.693636363636364, 0.570621291233211, 1.04909090909091, 1.50103196824617, 3.10727272727273, 4.18002640891428, 8.51727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1305, '2023-04-30 00:00:00', 0.203853036784, 0.466818181818182, 0.559846144603769, 0.79090909090909, 0.931480806837419, 1.11227272727273, 1.43014999364717, 3.06363636363636, 4.19126335704863, 8.51136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 930, '2023-04-30 00:00:00', 0.191398362932729, 1.05666666666666, 0.591016074231486, 1.67, 1.86038526475925, 2.52333333333332, 2.13100915061386, 3.44000000000001, 8.32792291030603, 10.99 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 945, '2023-04-30 00:00:00', 0.499433011857769, 1.03333333333333, 1.70898605416583, 1.95666666666666, 2.09915062187859, 2.21666666666667, 1.44921818003133, 3.49333333333333, 7.94796200292879, 10.77 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 960, '2023-04-30 00:00:00', 1.10891839194775, 1.29999999999999, 0.996042167782056, 1.43, 1.21541488115511, 1.90666666666668, 0.663023378170035, 3.06999999999999, 7.17112961812851, 10.32 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 975, '2023-04-30 00:00:00', 0.115902257671434, 0.553333333333332, 0.506853035898961, 0.959999999999999, 0.208086520466832, 1.25, 0.480555234425073, 2.50333333333333, 6.70531878436811, 10.05 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 990, '2023-04-30 00:00:00', 0.435632166644503, 1.09076923076922, 0.673611163802974, 1.53, 0.979231409752644, 2.00692307692307, 1.27343847062256, 2.95846153846154, 3.77703163873431, 8.14 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1005, '2023-04-30 00:00:00', 0.536054101747203, 0.945000000000005, 0.74120401011826, 1.43076923076923, 0.939799651316912, 1.82923076923077, 1.28067896655821, 2.75884615384616, 3.83266976642412, 8.07846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1020, '2023-04-30 00:00:00', 0.355269128754743, 0.901923076923072, 0.422173132548902, 1.16307692307692, 0.598633829263313, 1.51769230769231, 1.08396402154315, 2.515, 3.8382858353497, 7.98307692307693 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1035, '2023-04-30 00:00:00', 0.3164468602856, 0.748846153846158, 0.584347104434976, 1.16846153846154, 0.662381716581563, 1.43153846153846, 1.10294493899811, 2.36346153846154, 3.84239462595118, 7.96730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1050, '2023-04-30 00:00:00', 0.35716404332765, 0.806923076923075, 0.398416287896891, 0.946538461538458, 0.679713061632518, 1.32461538461539, 1.06934832779308, 2.30461538461539, 3.79142011145408, 7.93230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1065, '2023-04-30 00:00:00', 0.24695437136941, 0.63230769230769, 0.454974724572696, 0.954999999999997, 0.619672370010032, 1.17538461538461, 1.08368914078077, 2.25692307692308, 3.79658713137916, 7.95538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1080, '2023-04-30 00:00:00', 0.362286966580148, 0.670384615384614, 0.548257098589562, 0.854615384615387, 0.64416815769224, 1.09384615384616, 1.06779780569458, 2.17807692307693, 3.80684591836258, 7.95038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1095, '2023-04-30 00:00:00', 0.321894631589525, 0.598076923076924, 0.349356551391272, 0.784999999999999, 0.568144212461809, 1.06961538461539, 1.01256726272306, 2.1173076923077, 3.80923422548619, 7.96423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1110, '2023-04-30 00:00:00', 0.163436179028344, 0.510769230769234, 0.398510495952884, 0.701153846153851, 0.579035803330383, 1.0523076923077, 1.02389940912182, 2.065, 4.01753611826185, 7.7773076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1125, '2023-04-30 00:00:00', 0.270838299757225, 0.504230769230771, 0.361563272471086, 0.780000000000001, 0.537194993962587, 1.07230769230769, 0.949309465631975, 2.01730769230769, 3.97146514332121, 8.13076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1140, '2023-04-30 00:00:00', 0.233906292874208, 0.528076923076923, 0.344117153575084, 0.743846153846154, 0.575722155210307, 1.03, 0.919469495875835, 1.93807692307692, 3.99653143844278, 8.19653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1155, '2023-04-30 00:00:00', 0.190902713846207, 0.449615384615388, 0.290820589684802, 0.643846153846156, 0.492472724742585, 0.905769230769231, 0.86442555403085, 2.50653846153846, 3.98072185181764, 8.30769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1170, '2023-04-30 00:00:00', 0.294179432424393, 0.481538461538461, 0.518713942213001, 0.671923076923073, 0.593937707171382, 1.035, 0.885628242896186, 2.65576923076923, 3.96802421286037, 8.38192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1185, '2023-04-30 00:00:00', 0.332225132194327, 0.461538461538459, 0.337030471117283, 0.641538461538459, 0.761747888841081, 1.07961538461539, 0.937179483671824, 2.75576923076923, 3.9850575712471, 8.42961538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1200, '2023-04-30 00:00:00', 0.240608523411909, 0.48730769230769, 0.534371233679929, 0.803846153846154, 0.812210279706884, 1.12846153846154, 0.933513544873098, 2.78653846153846, 3.986400053258, 8.47423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1215, '2023-04-30 00:00:00', 0.420571040372489, 0.57, 0.626166480689009, 0.80269230769231, 0.696978092581438, 1.0923076923077, 0.979528693575875, 2.84730769230769, 4.01943005910042, 8.55500000000001 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1230, '2023-04-30 00:00:00', 0.321947200640105, 0.505000000000004, 0.360396362997105, 0.721538461538464, 0.579936336028498, 1.05307692307693, 0.97929150213501, 2.90038461538461, 4.02784828986319, 8.57461538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1245, '2023-04-30 00:00:00', 0.306031923925495, 0.506538461538465, 0.515132843210221, 0.81461538461539, 0.692317512750866, 1.07653846153846, 0.976583132858954, 2.93884615384615, 4.01878223040072, 8.57884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1260, '2023-04-30 00:00:00', 0.416073957922793, 0.571538461538465, 0.468877546749849, 0.753076923076925, 0.627909351615466, 1.04307692307693, 0.935624924849695, 2.905, 4.00532001986588, 8.6073076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1275, '2023-04-30 00:00:00', 0.263628234743264, 0.469615384615382, 0.369934921511675, 0.690384615384616, 0.53860003713331, 0.985000000000003, 0.967636056821744, 2.95346153846154, 4.0014078291752, 8.60615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1290, '2023-04-30 00:00:00', 0.288753288359564, 0.467692307692305, 0.417257161066813, 0.673461538461539, 0.579372604965594, 0.956153846153845, 0.96243161595233, 3.00884615384615, 4.00157017258898, 8.62961538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1305, '2023-04-30 00:00:00', 0.287277137701824, 0.461923076923077, 0.463391676828407, 0.709615384615386, 0.522614139171089, 0.941538461538461, 0.933089162200154, 3.02923076923077, 3.976057111492, 8.63307692307693 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 930, '2023-04-30 00:00:00', 0.189296944859993, 0.916666666666667, 0.474657771452238, 1.17000000000002, 0.340440890611001, 1.34000000000001, 0.398288002999521, 1.83666666666666, 6.91525126080028, 10.02 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 945, '2023-04-30 00:00:00', 0.545374489074558, 0.893333333333345, 0.297040962382866, 1.11666666666667, 0.236431808350752, 1.42000000000001, 0.308922859842619, 1.75666666666666, 6.91525126080028, 10.02 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 960, '2023-04-30 00:00:00', 0.108166538263924, 0.849999999999994, 0.12342339054383, 1.04333333333333, 0.39068316233661, 1.31666666666666, 0.564003546088149, 1.75999999999999, 6.91056437637331, 10.03 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 975, '2023-04-30 00:00:00', 0.217332310836036, 0.683333333333347, 0.237977589981354, 0.876666666666675, 0.225018517756497, 1.11666666666667, 0.853365884795813, 2.84666666666667, 6.91056437637331, 10.03 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 990, '2023-04-30 00:00:00', 0.429778476033338, 1.09846153846154, 0.506210050655473, 1.35384615384615, 0.56606890039994, 1.635, 0.838021112273064, 2.62923076923077, 4.0497901370128, 8.43807692307693 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1005, '2023-04-30 00:00:00', 0.249978768329201, 0.845769230769232, 0.38953641085862, 1.16115384615384, 0.449000942263874, 1.45538461538461, 0.809486161805031, 2.52961538461538, 4.08188365265916, 8.41307692307693 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1020, '2023-04-30 00:00:00', 0.384993306635123, 0.889615384615379, 0.400419011306134, 1.04923076923077, 0.54213140615395, 1.48230769230769, 0.87637856238921, 2.54076923076923, 4.08291472056233, 8.40384615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1035, '2023-04-30 00:00:00', 0.188917564439748, 0.645384615384616, 0.303159008798, 1.00576923076923, 0.503683814128849, 1.32576923076923, 0.946852600014301, 2.57538461538462, 4.08935219620606, 8.38576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1050, '2023-04-30 00:00:00', 0.286917838681821, 0.785384615384615, 0.384847822072371, 1.08038461538462, 0.507765088023373, 1.29423076923077, 1.28171687741332, 2.61307692307692, 4.08860660861374, 8.39 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1065, '2023-04-30 00:00:00', 0.30429161114856, 0.62576923076923, 0.376836222332117, 0.868461538461538, 0.483592962982459, 1.19307692307692, 1.38757319973232, 2.61076923076923, 4.07155024341041, 8.42423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1080, '2023-04-30 00:00:00', 0.182586544284749, 0.624615384615382, 0.283252537499665, 0.839999999999996, 0.410446661015124, 1.21230769230769, 1.51262934602682, 2.62653846153846, 4.06512355758857, 8.42153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1095, '2023-04-30 00:00:00', 0.196553770290431, 0.51576923076923, 0.265891823000374, 0.742307692307692, 0.343421024400083, 1.085, 2.13693756433036, 2.72692307692308, 4.0696491816296, 8.40269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1110, '2023-04-30 00:00:00', 0.207517561814751, 0.54346153846154, 0.294524388437726, 0.816153846153847, 0.278268547657445, 1.04423076923077, 2.43672352524072, 2.78846153846154, 4.06131505795844, 8.38 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1125, '2023-04-30 00:00:00', 0.238179311896277, 0.555769230769233, 0.227191887720826, 0.711923076923077, 0.317648329979023, 1.01730769230769, 2.54459357492281, 2.82269230769231, 4.33484557439433, 8.75692307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1140, '2023-04-30 00:00:00', 0.172897479627486, 0.48153846153846, 0.193161948793073, 0.62346153846154, 0.386802473940062, 0.958076923076923, 2.52724562746451, 2.82769230769231, 4.31180470872161, 8.83038461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1155, '2023-04-30 00:00:00', 0.133341089517995, 0.399615384615387, 0.280702415653744, 0.674615384615387, 0.697688932228287, 1.08461538461539, 2.5989432467832, 3.965, 4.29132678066604, 8.89153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1170, '2023-04-30 00:00:00', 0.294464833998118, 0.508461538461538, 0.320071145937179, 0.658461538461537, 0.665420283614918, 1.06807692307692, 2.72303148375822, 4.10269230769231, 4.29624854244509, 8.88653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1185, '2023-04-30 00:00:00', 0.191053758040869, 0.43153846153846, 0.668514886779761, 0.811923076923079, 0.767395194548015, 1.15923076923077, 2.73449736627298, 4.16961538461538, 4.30109025534403, 8.86576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1200, '2023-04-30 00:00:00', 0.689270294196364, 0.641538461538464, 0.672905525429723, 0.835384615384617, 0.939007659508368, 1.22923076923077, 2.72091274278433, 4.19692307692308, 4.28104338468304, 8.88730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1215, '2023-04-30 00:00:00', 0.320484248982933, 0.50692307692308, 0.744113308162548, 0.903846153846154, 1.17900277288119, 1.46653846153846, 2.75227749048227, 4.25923076923077, 4.27734024113835, 8.89653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1230, '2023-04-30 00:00:00', 0.76872241664085, 0.696923076923075, 1.00987988623171, 0.915769230769229, 1.54846305934428, 1.55461538461538, 2.79019329355237, 4.31115384615385, 4.28036729193257, 8.89807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1245, '2023-04-30 00:00:00', 0.74264889726935, 0.60923076923077, 1.06064798771607, 1.12307692307692, 1.47605169807315, 1.54615384615385, 2.62329763113881, 4.22230769230769, 4.18310824810745, 8.81884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1260, '2023-04-30 00:00:00', 0.742091534888957, 0.839615384615387, 0.916001343633547, 1.08230769230769, 1.23693995874435, 1.4573076923077, 2.32590667184946, 4.05461538461539, 4.03479764052672, 8.68 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1275, '2023-04-30 00:00:00', 0.504073254749589, 0.644615384615383, 0.737249357669858, 0.963846153846156, 1.48730566927117, 1.46307692307693, 2.15123781898845, 3.93192307692308, 3.90183051715671, 8.58576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1290, '2023-04-30 00:00:00', 0.634623086200358, 0.672307692307694, 0.817763178056226, 0.933846153846156, 1.50799122625483, 1.47153846153846, 2.06238148377437, 3.90423076923077, 3.8413761356296, 8.53115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1305, '2023-04-30 00:00:00', 0.363167475670132, 0.618846153846158, 1.03592463343327, 1.01961538461539, 1.31896492051096, 1.37269230769231, 1.89729949786938, 3.88576923076923, 3.64576966655032, 8.41730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 930, '2023-04-30 00:00:00', 0.559672523296741, 1.18333333333333, 1.29526059154134, 1.96, 0.8984616482262, 2.36333333333333, 0.61294371682888, 3.34999999999999, 1.4446222112834, 7.14333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 945, '2023-04-30 00:00:00', 0.473532821812117, 1.19666666666667, 0.205264057577882, 1.47333333333334, 0.0650640709864755, 1.69666666666667, 0.683398370888686, 2.66333333333333, 0.933595201358699, 6.62999999999999 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 960, '2023-04-30 00:00:00', 0.132035348802263, 0.786666666666671, 0.28919428302325, 1.08333333333334, 0.100166528008772, 1.65333333333334, 0.410040648391511, 2.27666666666667, 0.882288690471166, 6.41333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 975, '2023-04-30 00:00:00', 0.262741951985838, 0.786666666666681, 0.221208800307161, 0.953333333333338, 0.210000000000008, 1.59, 0.303150127824486, 2.4, 0.882288690471166, 6.41333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 990, '2023-04-30 00:00:00', 0.53310943216817, 1.2384, 0.662127379487262, 1.5428, 0.678739763581499, 1.8828, 1.00526663129739, 2.6312, 2.68200254784865, 7.2972 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1005, '2023-04-30 00:00:00', 0.477937234372885, 0.943600000000002, 0.593085997137014, 1.2952, 0.586855178046512, 1.6064, 0.743278099592159, 2.4404, 2.59576783759, 7.1024 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1020, '2023-04-30 00:00:00', 0.30481032353471, 0.824799999999997, 0.298771373015112, 1.1032, 0.467303612939885, 1.4232, 0.704170433914971, 2.2832, 2.4788924274092, 6.9992 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1035, '2023-04-30 00:00:00', 0.223060529901641, 0.7032, 0.260222981306417, 0.9592, 0.397900741391617, 1.246, 0.638125640711401, 2.1328, 2.56268661109131, 6.9328 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1050, '2023-04-30 00:00:00', 0.216693331692507, 0.646800000000003, 0.357680956533425, 0.867599999999998, 0.378857932915932, 1.094, 0.630668428468297, 2.0552, 2.58325485902314, 6.8984 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1065, '2023-04-30 00:00:00', 0.233853230324775, 0.630399999999997, 0.299909430773136, 0.859599999999997, 0.306780594779614, 1.0132, 0.650588707761417, 2.0636, 2.54755385942411, 6.9416 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1080, '2023-04-30 00:00:00', 0.265196153818262, 0.659599999999998, 0.271208406949337, 0.789600000000002, 0.339503068223739, 1.0004, 0.608986316211895, 2.0832, 2.4970632751294, 6.942 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1095, '2023-04-30 00:00:00', 0.155168725371234, 0.507600000000002, 0.170318329410939, 0.665999999999999, 0.26496855159308, 0.909999999999998, 0.845301129775657, 2.1856, 2.44921368334138, 6.8868 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1110, '2023-04-30 00:00:00', 0.143575763971497, 0.4716, 0.234469614236044, 0.6448, 0.328363112016759, 0.901599999999999, 0.908090120344155, 2.2912, 2.41531109107433, 6.8888 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1125, '2023-04-30 00:00:00', 0.164172673324969, 0.448799999999998, 0.167582815348115, 0.634399999999997, 0.272391874572889, 0.871599999999998, 0.94980927910116, 2.3072, 2.40174048001305, 6.9164 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1140, '2023-04-30 00:00:00', 0.140204612382523, 0.4336, 0.246490026843544, 0.636400000000003, 0.337260038150581, 0.911200000000004, 0.986488215844468, 2.3356, 2.45109206953417, 6.9276 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1155, '2023-04-30 00:00:00', 0.194296165685273, 0.484800000000004, 0.247956313356473, 0.663600000000001, 0.373381842086623, 0.9384, 1.02751853186857, 3.1012, 2.42864962479152, 6.9484 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1170, '2023-04-30 00:00:00', 0.147847894810849, 0.425599999999998, 0.292513817337456, 0.603200000000001, 0.412997175131581, 0.901999999999999, 1.18398338952312, 3.316, 2.44195973212773, 6.9356 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1185, '2023-04-30 00:00:00', 0.232611980201649, 0.424000000000001, 0.233335952366254, 0.6396, 0.46007499388687, 1.0024, 1.32292945138179, 3.4156, 2.40098819933238, 6.9212 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1200, '2023-04-30 00:00:00', 0.128234160815287, 0.442400000000002, 0.273820500815165, 0.651199999999999, 0.40908556562167, 1.0048, 1.58336140325995, 3.552, 2.36040370840809, 6.9216 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1215, '2023-04-30 00:00:00', 0.276129196814341, 0.521599999999996, 0.383041338065053, 0.780399999999999, 0.431409704727808, 1.0768, 1.69580040099063, 3.5716, 2.34360953801325, 6.9016 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1230, '2023-04-30 00:00:00', 0.241298570240274, 0.538000000000001, 0.314402608131674, 0.723599999999997, 0.408112321140475, 1.0916, 1.74572983782333, 3.6032, 2.32043365199984, 6.8796 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1245, '2023-04-30 00:00:00', 0.16432893841317, 0.4396, 0.364027013649624, 0.686399999999999, 0.442290251607096, 1.0396, 1.76262947514974, 3.6272, 2.26399484687281, 6.8832 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1260, '2023-04-30 00:00:00', 0.246997300929918, 0.500799999999999, 0.35976288487465, 0.742799999999999, 0.461290580870671, 1.0184, 1.74501547271077, 3.5604, 2.20215901635948, 6.8572 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1275, '2023-04-30 00:00:00', 0.206742190501437, 0.474400000000002, 0.281568819296456, 0.676800000000004, 0.892062217561085, 1.144, 1.76072305223356, 3.5596, 2.20187367182286, 6.8568 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1290, '2023-04-30 00:00:00', 0.210574610688631, 0.456000000000001, 0.330555088701819, 0.644000000000005, 0.929295790729015, 1.18640000000001, 1.78824700009068, 3.5224, 2.22384112142332, 6.8188 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1305, '2023-04-30 00:00:00', 0.209946818662885, 0.461200000000004, 0.920982265482531, 0.878000000000004, 0.962301408083768, 1.2364, 1.79408128764186, 3.5412, 2.22403709501438, 6.8092 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 930, '2023-04-30 00:00:00', 2.33826859021797, 2.30000000000001, 2.26453821635522, 2.53666666666667, 1.94115944734068, 2.89000000000001, 3.01347529164141, 3.79666666666667, 1.28254954420222, 6.16333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 945, '2023-04-30 00:00:00', 0.869041617722276, 1.47666666666667, 0.912432645916041, 2.05666666666667, 1.06105293615979, 2.41666666666667, 2.15446822518536, 3.27333333333333, 1.39947609244794, 6.39666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 960, '2023-04-30 00:00:00', 0.243378991150286, 0.986666666666669, 0.27592269448765, 1.63333333333334, 0.600083327547089, 2.01000000000001, 2.17330010199543, 3.25666666666666, 1.39947609244794, 6.39666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 975, '2023-04-30 00:00:00', 0.230651251893405, 1.22, 0.362950869035083, 1.36666666666666, 1.27868421955278, 2.23666666666666, 2.30501626892306, 3.14999999999999, 1.51582760673282, 6.50333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 990, '2023-04-30 00:00:00', 0.720115731439514, 1.408, 0.993900229734692, 1.7228, 1.61267717372903, 2.2388, 1.7755606626265, 3.0564, 2.2423802829434, 6.7988 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1005, '2023-04-30 00:00:00', 0.444583325523276, 0.977199999999999, 0.707874047176945, 1.4824, 1.15631786287336, 1.9272, 1.30488722373494, 2.7116, 2.04121026191163, 6.5032 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1020, '2023-04-30 00:00:00', 0.516574615455828, 1.1208, 0.799129734982586, 1.458, 1.01545556278943, 1.8, 1.1247221879202, 2.522, 1.99214055729007, 6.3964 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1035, '2023-04-30 00:00:00', 0.376827989052477, 0.779199999999998, 0.505099000196993, 1.018, 0.637347890349796, 1.4004, 0.846748683691529, 2.188, 1.89740832013917, 6.286 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1050, '2023-04-30 00:00:00', 0.261884198326922, 0.703999999999997, 0.478672817973474, 1.0288, 0.540508094296469, 1.2836, 0.837486318296206, 2.114, 1.8731279543409, 6.274 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1065, '2023-04-30 00:00:00', 0.369475754730037, 0.700400000000002, 0.401652835169875, 0.932, 0.466886138867565, 1.2308, 0.837978718902419, 2.042, 1.93990360585262, 6.2848 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1080, '2023-04-30 00:00:00', 0.198892768428951, 0.626, 0.396684173283145, 0.893999999999999, 0.431122565712663, 1.134, 0.906421535489974, 1.992, 2.05663616941192, 6.3224 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1095, '2023-04-30 00:00:00', 0.22585614890899, 0.591199999999999, 0.306309756074905, 0.824399999999999, 0.646533835154823, 1.2068, 0.914656037353206, 2.0896, 2.06475155890485, 6.3436 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1110, '2023-04-30 00:00:00', 0.259790300049866, 0.5708, 0.354911726114161, 0.8396, 0.653567900068541, 1.2048, 0.907271550676349, 2.116, 2.06872142477747, 6.358 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1125, '2023-04-30 00:00:00', 0.246827875249133, 0.5564, 0.650503138603756, 0.8628, 0.589284311686646, 1.0768, 0.867687155603908, 2.0768, 2.15874793958597, 6.6148 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1140, '2023-04-30 00:00:00', 0.257174939049989, 0.515416666666667, 0.307787511400179, 0.708750000000002, 0.4371912989574, 0.938333333333334, 0.824959814568063, 1.9575, 2.25508985488898, 6.50958333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1155, '2023-04-30 00:00:00', 0.170739546542748, 0.480416666666664, 0.211936806961244, 0.647083333333331, 0.468933225060046, 0.918749999999996, 1.22141037211146, 2.83458333333333, 2.29697516911616, 6.52416666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1170, '2023-04-30 00:00:00', 0.133768537927014, 0.436249999999996, 0.339024335409713, 0.643749999999999, 0.429007744600881, 0.959583333333334, 1.22591935333021, 3.06, 2.29745475898117, 6.49875 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1185, '2023-04-30 00:00:00', 0.256446946232324, 0.434583333333335, 0.281014917856635, 0.620416666666667, 0.468948098237512, 0.985833333333335, 1.25485029998096, 3.24333333333334, 2.31110363246653, 6.51 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1200, '2023-04-30 00:00:00', 0.162627319130384, 0.440416666666664, 0.286739542472591, 0.6825, 0.495182589659056, 0.936666666666667, 1.34806463527145, 3.34, 2.33164520973024, 6.53291666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1215, '2023-04-30 00:00:00', 0.229951160536064, 0.495833333333331, 0.371474734350624, 0.707499999999997, 0.549679583873675, 0.917916666666667, 1.41370921051115, 3.45208333333334, 2.3715353065356, 6.55666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1230, '2023-04-30 00:00:00', 0.251427446531929, 0.47375, 0.350334984620831, 0.602916666666669, 0.457006445582936, 0.878750000000001, 1.38493440173224, 3.49458333333334, 2.37096564287847, 6.53458333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1245, '2023-04-30 00:00:00', 0.267995443937049, 0.407083333333336, 0.302937311159847, 0.626666666666669, 0.371650987516168, 0.838750000000001, 1.49653488655182, 3.55416666666667, 2.39484349432668, 6.51333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1260, '2023-04-30 00:00:00', 0.171166077500647, 0.407499999999999, 0.245276758796663, 0.572916666666668, 0.361791035852445, 0.816666666666664, 1.48628799118933, 3.54541666666667, 2.4097801932355, 6.51333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1275, '2023-04-30 00:00:00', 0.172290620670465, 0.418333333333335, 0.250676981941626, 0.577083333333334, 0.488606418177304, 1.02666666666666, 1.43639185390722, 3.55958333333334, 2.36223595257802, 6.5975 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1290, '2023-04-30 00:00:00', 0.239722061284871, 0.436666666666667, 0.318021225706709, 0.633749999999998, 0.496462850895049, 1.05833333333333, 1.46906500630627, 3.58291666666667, 2.33858544510522, 6.60083333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1305, '2023-04-30 00:00:00', 0.232060711696406, 0.484999999999999, 0.520156052392525, 0.856666666666666, 0.512566008474494, 1.0775, 1.45873356826681, 3.58083333333334, 2.34574819651413, 6.61291666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1320, '2023-04-30 00:00:00', 0.195739712597415, 0.441578947368422, 0.27219059369906, 0.568947368421053, 0.398880010978109, 0.919473684210528, 1.31013659392326, 2.96368421052632, 3.41926807256272, 8.12947368421053 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1335, '2023-04-30 00:00:00', 0.124524827839827, 0.342105263157896, 0.12265818048449, 0.513157894736844, 1.40310057660532, 2.00368421052631, 1.29799012422017, 2.93684210526316, 3.46115967788102, 8.15473684210527 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1350, '2023-04-30 00:00:00', 0.110871085774506, 0.415789473684214, 0.2968026496942, 0.711578947368423, 1.36678005520209, 2.19105263157895, 1.30632581483446, 3.02736842105263, 3.48640408591609, 8.21631578947368 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1365, '2023-04-30 00:00:00', 0.213601804753967, 0.564210526315792, 1.39284428586916, 1.93473684210526, 1.36995774041622, 2.36210526315789, 1.30714903377205, 3.03052631578947, 3.51409600896645, 8.29473684210526 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1320, '2023-04-30 00:00:00', 0.229077890338413, 0.426956521739135, 0.294477496674077, 0.575217391304349, 0.417287968927764, 0.942608695652172, 0.930189321543219, 3.12608695652174, 3.65382846485613, 8.43478260869565 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1335, '2023-04-30 00:00:00', 0.175937915747652, 0.387826086956521, 0.291367228184778, 0.603043478260868, 0.696640158102752, 1.96434782608696, 0.947737267840485, 3.13173913043478, 3.65270131238106, 8.42217391304348 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1350, '2023-04-30 00:00:00', 0.164751579670583, 0.443913043478261, 0.259094653603068, 0.728695652173911, 0.693432203855488, 2.09130434782609, 0.929355678028914, 3.06739130434783, 3.65114839262666, 8.42130434782609 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1365, '2023-04-30 00:00:00', 0.223559066303477, 0.578260869565214, 0.624363074670391, 1.81739130434782, 0.685767219865386, 2.18304347826087, 0.915992301950839, 3.01652173913043, 3.64298741587903, 8.38869565217392 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1320, '2023-04-30 00:00:00', 0.499496584517517, 0.608260869565216, 0.487507170313135, 0.787826086956519, 0.55857137080644, 1.10260869565218, 1.91688100995448, 3.75347826086957, 3.74706140461568, 8.42347826086957 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1335, '2023-04-30 00:00:00', 0.378121004535776, 0.528695652173914, 0.538343235060289, 0.769565217391306, 1.44249618956758, 2.8595652173913, 1.8797887990021, 3.72826086956522, 3.70639587142701, 8.38391304347826 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1350, '2023-04-30 00:00:00', 0.271757564592127, 0.496086956521739, 0.294643886349005, 0.758260869565219, 1.57204808382747, 2.91521739130435, 1.84442060056232, 3.69347826086956, 3.60143531992959, 8.3 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1365, '2023-04-30 00:00:00', 0.208781520542787, 0.594782608695656, 1.42909006678107, 2.64434782608696, 1.64623765567804, 2.98565217391304, 1.92239629366097, 3.67434782608695, 3.58770033250957, 8.30869565217392 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1320, '2023-04-30 00:00:00', 0.182878025728553, 0.475909090909092, 0.360455760084864, 0.739545454545456, 0.563338072164296, 1.05454545454546, 1.67136826028014, 3.49363636363636, 2.34540076786565, 6.87 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1335, '2023-04-30 00:00:00', 0.210258550381805, 0.490909090909092, 0.324173608022812, 0.681363636363637, 0.86592192443706, 2.31272727272727, 1.65194238288254, 3.41772727272727, 2.30385316240845, 6.81181818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1350, '2023-04-30 00:00:00', 0.217403011166058, 0.475454545454541, 0.315889454059719, 0.783636363636363, 1.09661669776553, 2.55590909090909, 1.64845250795881, 3.40363636363636, 2.28909536187499, 6.77363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1365, '2023-04-30 00:00:00', 0.241142662235003, 0.644545454545457, 0.822058576398485, 2.22227272727273, 1.30258525823777, 2.69954545454545, 1.6487066950291, 3.41363636363637, 2.29131264483126, 6.76772727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1320, '2023-04-30 00:00:00', 0.24930474753373, 0.541428571428572, 0.259152464777012, 0.700000000000002, 0.387434787139349, 1.00428571428571, 1.585967483003, 3.65857142857143, 2.52590295029039, 6.41571428571428 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1335, '2023-04-30 00:00:00', 0.155806656743912, 0.455714285714287, 0.245939404073831, 0.648095238095239, 0.971820334169215, 2.22619047619048, 1.59238784459661, 3.62904761904762, 2.59826022377979, 6.42190476190476 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1350, '2023-04-30 00:00:00', 0.172064495106308, 0.45809523809524, 0.32055086514133, 0.801428571428571, 1.06023806850385, 2.57619047619048, 1.60130854229254, 3.60238095238095, 2.60258122786188, 6.41761904761905 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1365, '2023-04-30 00:00:00', 0.245705750420036, 0.6785, 0.922509592019737, 2.1735, 1.07127567831412, 2.85, 1.49311146338954, 3.6865, 2.26585966026142, 6.714 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2023-04-30 16:00:57 Duration: 715ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 930, '2023-04-30 00:00:00', 0.308058436014995, 0.939999999999998, 0.439999999999998, 1.26999999999999, 0.306648550189503, 1.36666666666666, 0.556447062471638, 1.51333333333333, 0.490340018082702, 2.93333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 945, '2023-04-30 00:00:00', 0.341760149812705, 0.909999999999987, 0.21079215671682, 1.24666666666666, 0.441701256507148, 1.38, 0.580258563056149, 1.47999999999999, 0.490340018082702, 2.93333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 960, '2023-04-30 00:00:00', 0.0814452781524781, 0.676666666666667, 0.0503322295684824, 0.716666666666669, 0.182482875908944, 0.920000000000006, 0.135769412362767, 1.17333333333333, 0.635164020811428, 2.83333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 975, '2023-04-30 00:00:00', 0.126622799421476, 0.466666666666659, 0.166533279957289, 0.656666666666666, 0.233880311270523, 0.790000000000001, 0.111355287256599, 1.13000000000001, 0.635164020811428, 2.83333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 990, '2023-04-30 00:00:00', 0.437622710063859, 0.987727272727272, 0.434740555560845, 1.13227272727273, 0.434780135509623, 1.26636363636363, 0.673724544531937, 1.64, 2.50511602067774, 4.62409090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1005, '2023-04-30 00:00:00', 0.163725564912936, 0.601818181818182, 0.287715663512265, 0.822272727272725, 0.284542999588323, 0.951363636363635, 0.61505235056814, 1.41318181818182, 2.51019346109443, 4.50045454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1020, '2023-04-30 00:00:00', 0.227421553003586, 0.57409090909091, 0.227594706988873, 0.662272727272726, 0.243181029249841, 0.806818181818182, 0.554525849486676, 1.30681818181818, 2.51627189358071, 4.48363636363637 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1035, '2023-04-30 00:00:00', 0.127890815174745, 0.41318181818182, 0.220080662111643, 0.554545454545455, 0.358550472818603, 0.798181818181818, 0.563962480714524, 1.28818181818182, 2.51644478824678, 4.47909090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1050, '2023-04-30 00:00:00', 0.106665313844233, 0.391818181818183, 0.121103333215965, 0.522272727272724, 0.280453019423751, 0.744090909090908, 0.480316679446084, 1.23227272727273, 2.51699023177283, 4.47272727272728 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1065, '2023-04-30 00:00:00', 0.104277560020406, 0.384999999999999, 0.236575496127483, 0.571818181818181, 0.276537026947076, 0.711818181818182, 0.484364179113876, 1.21090909090909, 2.49876787819335, 4.49136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1080, '2023-04-30 00:00:00', 0.159886323253855, 0.432727272727269, 0.21227075742757, 0.527272727272727, 0.265149226953638, 0.707727272727274, 0.474559034321627, 1.19590909090909, 2.49955931180813, 4.50590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1095, '2023-04-30 00:00:00', 0.116607901093377, 0.364545454545456, 0.118935574979361, 0.488636363636364, 0.243048816645395, 0.691818181818183, 0.488697358520699, 1.20818181818182, 2.48884507021827, 4.51545454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1110, '2023-04-30 00:00:00', 0.105166328784249, 0.338636363636364, 0.137639343011324, 0.447272727272731, 0.234504174359878, 0.66727272727273, 0.499736943788444, 1.17681818181818, 2.48113352987573, 4.52954545454546 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1125, '2023-04-30 00:00:00', 0.0816231441586134, 0.303636363636364, 0.199436978078557, 0.493181818181819, 0.283532143134556, 0.690000000000002, 0.510662925398566, 1.19363636363636, 2.42461421932524, 4.82727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1140, '2023-04-30 00:00:00', 0.146254833049977, 0.370000000000002, 0.169379437770333, 0.486818181818186, 0.319593898158681, 0.65545454545455, 0.579270327700385, 1.24272727272727, 2.43337975108429, 4.80318181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1155, '2023-04-30 00:00:00', 0.110869253366258, 0.345909090909092, 0.198431621031297, 0.493181818181818, 0.244067267712881, 0.634545454545454, 2.69949666624767, 2.38181818181818, 2.45073030020217, 4.76863636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1170, '2023-04-30 00:00:00', 0.139962889330027, 0.310909090909092, 0.183556141664767, 0.425, 0.231714856864584, 0.568181818181821, 2.68236069059679, 2.44272727272728, 2.46034018166672, 4.755 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1185, '2023-04-30 00:00:00', 0.126289881618181, 0.33590909090909, 0.141210750973417, 0.435000000000002, 0.263901792044228, 0.568181818181821, 2.73137977912913, 2.47454545454546, 2.47377802270691, 4.73590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1200, '2023-04-30 00:00:00', 0.0918166816559108, 0.312727272727275, 0.159534631667542, 0.406818181818183, 0.223106753319173, 0.536363636363638, 2.71637797579043, 2.48045454545455, 2.46533683586761, 4.76 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1215, '2023-04-30 00:00:00', 0.124324146916412, 0.302272727272725, 0.182718765281914, 0.383636363636361, 0.231520477715754, 0.562727272727273, 2.79478348331579, 2.57636363636364, 2.45969277108718, 4.78136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1230, '2023-04-30 00:00:00', 0.11029378320975, 0.281363636363631, 0.178793455045477, 0.403636363636363, 0.220997345775526, 0.597272727272728, 2.90325347428204, 2.64045454545455, 2.46060075197218, 4.77681818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1245, '2023-04-30 00:00:00', 0.133021008658739, 0.297727272727273, 0.178820086613957, 0.446363636363637, 0.190674923382511, 0.590454545454545, 2.89085211901716, 2.66545454545454, 2.47545076572056, 4.79772727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1260, '2023-04-30 00:00:00', 0.122372824700207, 0.313181818181818, 0.16802455499793, 0.446818181818184, 0.205453779257657, 0.587272727272729, 2.88551964004295, 2.69045454545455, 2.48372490303161, 4.79681818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1275, '2023-04-30 00:00:00', 0.117610590859211, 0.31681818181818, 0.148977031263738, 0.426818181818179, 0.214043730612975, 0.633636363636365, 2.88934600668047, 2.68818181818182, 2.49975046373681, 4.8 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1290, '2023-04-30 00:00:00', 0.111325154584623, 0.288636363636365, 0.170487586985139, 0.412272727272732, 0.242917423127439, 0.657727272727277, 2.88950242125253, 2.68363636363636, 2.50999853400209, 4.80545454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1305, '2023-04-30 00:00:00', 0.15650678034632, 0.320909090909095, 0.256153701153665, 0.506363636363638, 0.289620217059984, 0.736818181818181, 2.88259563167601, 2.68636363636364, 2.5143316050023, 4.80409090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 930, '2023-04-30 00:00:00', 0.200083315979455, 0.753333333333349, 0.207444771766686, 1.01666666666668, 0.487886598845808, 1.18333333333335, 0.359999999999999, 1.67000000000001, 1.07276900278361, 3.56666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 945, '2023-04-30 00:00:00', 0.0461880215351773, 0.733333333333348, 0.17097758137643, 0.876666666666675, 0.271538824725547, 0.993333333333339, 0.174737898961085, 1.50333333333334, 1.07276900278361, 3.56666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 960, '2023-04-30 00:00:00', 0.00577350269190742, 0.546666666666672, 0.135769412362782, 0.676666666666677, 0.115902257671434, 0.906666666666657, 0.268514431641952, 1.36, 1.07276900278361, 3.56666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 975, '2023-04-30 00:00:00', 0.112398102000583, 0.563333333333333, 0.073711147958312, 0.633333333333335, 0.0230940107675886, 0.946666666666658, 0.312143129562911, 1.38666666666667, 1.07276900278361, 3.56666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 990, '2023-04-30 00:00:00', 2.63729371778082, 1.61307692307693, 2.59218066796754, 1.77384615384615, 2.60009490951033, 1.97846153846154, 2.69273952580753, 2.53307692307692, 2.5195718806056, 5.06230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1005, '2023-04-30 00:00:00', 0.342239682094292, 0.679999999999998, 0.387752696761939, 0.901923076923075, 0.55022526855266, 1.13038461538461, 0.668879315318948, 1.65653846153846, 1.54331596047152, 4.37192307692307 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1020, '2023-04-30 00:00:00', 0.311319771296335, 0.579999999999998, 0.383148093481439, 0.737692307692307, 0.605615770549666, 1.04769230769231, 0.616389986440906, 1.52615384615385, 1.51473912453089, 4.30115384615384 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1035, '2023-04-30 00:00:00', 0.223324875461735, 0.454999999999999, 0.410622229530516, 0.681153846153844, 0.491764171122704, 0.919999999999999, 0.553309483576224, 1.40923076923077, 1.49776017388016, 4.25846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1050, '2023-04-30 00:00:00', 0.264129630178931, 0.487307692307691, 0.354952867943814, 0.66346153846154, 0.360292402618509, 0.838846153846154, 0.55659638739534, 1.37653846153846, 1.49407985575892, 4.22115384615384 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1065, '2023-04-30 00:00:00', 0.231624364335545, 0.474615384615389, 0.309102920375422, 0.653846153846156, 0.354435629394982, 0.793846153846157, 0.53958174685442, 1.35269230769231, 1.44295300845709, 4.32423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1080, '2023-04-30 00:00:00', 0.225180952876708, 0.452307692307694, 0.278467509498245, 0.581923076923079, 0.322154525750514, 0.686538461538466, 0.472454800442904, 1.29153846153846, 1.41374178906681, 4.32461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1095, '2023-04-30 00:00:00', 0.20343095596825, 0.401923076923076, 0.235940344481072, 0.499615384615386, 0.30372381178655, 0.651923076923078, 0.435102993996382, 1.31884615384616, 1.43044097557899, 4.34423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1110, '2023-04-30 00:00:00', 0.139291062168393, 0.375000000000002, 0.230053171111508, 0.492692307692312, 0.280065102321696, 0.667307692307695, 0.442828843477234, 1.31423076923077, 1.50136553228668, 4.31769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1125, '2023-04-30 00:00:00', 0.161858437673643, 0.356923076923079, 0.193797674035414, 0.471538461538461, 0.240188707862412, 0.671153846153845, 0.42795776211426, 1.29038461538462, 1.52992227052427, 4.45307692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1140, '2023-04-30 00:00:00', 0.12659323107436, 0.335384615384614, 0.152347780272132, 0.464615384615384, 0.302688720533922, 0.667307692307692, 0.476743601465675, 1.27730769230769, 1.54511796910836, 4.43153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1155, '2023-04-30 00:00:00', 0.107414366608225, 0.355384615384616, 0.183357154629555, 0.489615384615383, 0.322841232711161, 0.727692307692308, 0.501310896933843, 1.76384615384615, 1.50715100565476, 4.48807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1170, '2023-04-30 00:00:00', 0.188197931812391, 0.347692307692304, 0.310194231955499, 0.482692307692305, 0.350826935199593, 0.693461538461535, 0.48653689875091, 1.78307692307692, 1.53496900494891, 4.49538461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1185, '2023-04-30 00:00:00', 0.290424887681164, 0.381153846153844, 0.31748458472572, 0.537307692307691, 0.36976416600523, 0.691538461538462, 0.526666877637087, 1.895, 1.54780246205336, 4.51730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1200, '2023-04-30 00:00:00', 0.173100682129927, 0.359615384615381, 0.275710271564473, 0.54807692307692, 0.340482237196239, 0.691923076923077, 0.554590493413487, 1.95115384615384, 1.55822250805698, 4.53576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1215, '2023-04-30 00:00:00', 0.225685962891257, 0.396923076923074, 0.309661105081026, 0.495, 0.322742335903759, 0.631153846153847, 0.652898036567616, 2.02961538461538, 1.59335678558, 4.53538461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1230, '2023-04-30 00:00:00', 0.168687695050764, 0.323461538461541, 0.197745757515513, 0.430769230769235, 0.321851614161646, 0.612692307692309, 0.680253911870696, 2.02576923076923, 1.60000192307577, 4.50307692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1245, '2023-04-30 00:00:00', 0.123999999999999, 0.320000000000003, 0.229023680334248, 0.470384615384615, 0.345912616800162, 0.653461538461541, 0.7012219005751, 2.06192307692307, 1.60742967306385, 4.50307692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1260, '2023-04-30 00:00:00', 0.209131905375897, 0.371923076923074, 0.300702766608741, 0.493076923076922, 0.295195632654788, 0.637307692307693, 0.710465611142007, 2.06423076923077, 1.59756256648876, 4.49307692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1275, '2023-04-30 00:00:00', 0.163684499524588, 0.316153846153843, 0.183593614770818, 0.438846153846156, 0.25638552701262, 0.62846153846154, 0.732250902775396, 2.04076923076923, 1.55038878498762, 4.44576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1290, '2023-04-30 00:00:00', 0.149877899022454, 0.339230769230773, 0.170276246141384, 0.415000000000004, 0.296297148146923, 0.62, 0.734085406894447, 2.02576923076923, 1.54740542149158, 4.44346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1305, '2023-04-30 00:00:00', 0.122562385998066, 0.271538461538464, 0.237552909086344, 0.480769230769231, 0.240100299554486, 0.621923076923075, 0.747550667179154, 2.03, 1.54880902135008, 4.44576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 930, '2023-04-30 00:00:00', 0.0360555127546347, 0.599999999999994, 0.0288675134594879, 0.646666666666666, 0.112694276695835, 0.73999999999999, 0.365923489270635, 1.22, 0.321869538788628, 4.84 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 945, '2023-04-30 00:00:00', 0.123423390543826, 0.433333333333328, 0.161658075373091, 0.633333333333335, 0.191572440606672, 0.779999999999992, 0.514813882226707, 1.32666666666666, 0.419046536795133, 4.9 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 960, '2023-04-30 00:00:00', 0.136137185711075, 0.613333333333335, 0.175594229214196, 0.643333333333326, 0.180277563773193, 0.759999999999991, 0.516430053347018, 1.33, 0.430038757943203, 4.90666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 975, '2023-04-30 00:00:00', 0.177857620959387, 0.436666666666658, 0.230072452356488, 0.623333333333335, 0.0964365076099332, 0.73999999999999, 0.840178552451802, 1.72000000000001, 0.430038757943203, 4.90666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 990, '2023-04-30 00:00:00', 0.561715641173058, 1.04730769230769, 0.572428027051301, 1.15461538461538, 0.627503478384476, 1.43384615384615, 0.812911954736704, 2.00538461538461, 1.59249257938133, 4.37615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1005, '2023-04-30 00:00:00', 0.227494716760296, 0.59461538461539, 0.44900162754545, 0.882307692307695, 0.524124471417301, 1.1323076923077, 0.729979135634397, 1.70846153846154, 1.61725503435724, 4.29461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1020, '2023-04-30 00:00:00', 0.37029634701869, 0.649230769230771, 0.377540216910223, 0.816153846153845, 0.476219891032901, 1.03576923076923, 0.662904564427237, 1.59230769230769, 1.5970066229813, 4.24692307692307 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1035, '2023-04-30 00:00:00', 0.207104952954929, 0.56269230769231, 0.328136228745603, 0.745769230769235, 0.44027421525157, 0.924230769230773, 0.594871931918641, 1.49615384615385, 1.54905370617528, 4.20923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1050, '2023-04-30 00:00:00', 0.189546827987175, 0.430000000000002, 0.232797039367907, 0.582307692307692, 0.333061324914564, 0.805384615384617, 0.59723735778873, 1.40269230769231, 1.52394205421839, 4.19076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1065, '2023-04-30 00:00:00', 0.138070216250228, 0.38923076923077, 0.226048327031735, 0.554615384615385, 0.315142214539112, 0.801153846153844, 0.591790633455917, 1.43807692307692, 1.50652529402544, 4.17769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1080, '2023-04-30 00:00:00', 0.139089898986234, 0.395000000000003, 0.217241446675915, 0.595384615384619, 0.254069645206555, 0.780769230769227, 0.565662579499613, 1.44307692307692, 1.47894374990552, 4.15884615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1095, '2023-04-30 00:00:00', 0.158411343805153, 0.423076923076923, 0.228876856376123, 0.573846153846152, 0.228601433470169, 0.741153846153842, 0.646856659903521, 1.46346153846154, 1.47024058732419, 4.13076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1110, '2023-04-30 00:00:00', 0.149231879456613, 0.373076923076923, 0.15654539769173, 0.517692307692304, 0.185173930712139, 0.675769230769227, 0.657735626103799, 1.44192307692307, 1.47378701101826, 4.13807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1125, '2023-04-30 00:00:00', 0.118209722364693, 0.378461538461536, 0.145847127552737, 0.489230769230768, 0.248562946678578, 0.623461538461537, 0.693504478383856, 1.43269230769231, 2.61305388681225, 4.81115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1140, '2023-04-30 00:00:00', 0.12362287565259, 0.328846153846155, 0.203238397341263, 0.424615384615387, 0.200942395113241, 0.615384615384618, 0.692359733086782, 1.435, 2.62620287458177, 4.83846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1155, '2023-04-30 00:00:00', 0.122653357694954, 0.310384615384616, 0.144720420121005, 0.429999999999997, 0.327575710567566, 0.675384615384617, 0.748035786885586, 1.96153846153846, 2.62841996995562, 4.87653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1170, '2023-04-30 00:00:00', 0.0950692055618092, 0.306923076923075, 0.121422973368047, 0.433461538461541, 0.318398879008466, 0.635384615384617, 0.75927627484234, 2.00730769230769, 2.62358122830959, 4.88230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1185, '2023-04-30 00:00:00', 0.0979670274201369, 0.288461538461541, 0.291698474456073, 0.480000000000005, 0.322598106723427, 0.641538461538467, 0.818193225250705, 2.08807692307693, 2.67087562709023, 4.92615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1200, '2023-04-30 00:00:00', 0.254314463123605, 0.370384615384617, 0.255186206523788, 0.459999999999999, 0.422182607228385, 0.673076923076923, 0.819513176314966, 2.09538461538462, 2.72496901887822, 4.98192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1215, '2023-04-30 00:00:00', 0.144354265077805, 0.286923076923075, 0.300659019744699, 0.489615384615385, 0.463594816457379, 0.758076923076924, 0.799362534485111, 2.12269230769231, 2.72648976919747, 4.99769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1230, '2023-04-30 00:00:00', 0.306985592245225, 0.388076923076925, 0.419934976651605, 0.524230769230771, 0.525971043367919, 0.781538461538464, 0.797707098742774, 2.15384615384615, 2.72619599724316, 5.00615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1245, '2023-04-30 00:00:00', 0.304709950356327, 0.391923076923082, 0.391110450659892, 0.589230769230773, 0.548621349033544, 0.814230769230773, 0.742094437282854, 2.14807692307692, 2.72206380979862, 5.01076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1260, '2023-04-30 00:00:00', 0.238668099121898, 0.45769230769231, 0.310521397751486, 0.576538461538465, 0.485752865306882, 0.790384615384618, 0.709912779041306, 2.13192307692308, 2.7104906453374, 4.99653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1275, '2023-04-30 00:00:00', 0.202542683060976, 0.383461538461542, 0.352017700603905, 0.577307692307695, 0.521131313733732, 0.805384615384615, 0.740113920545084, 2.12615384615385, 2.69471025986383, 5.00076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1290, '2023-04-30 00:00:00', 0.338662754873429, 0.42269230769231, 0.403951253723285, 0.543846153846156, 0.493216132994609, 0.786923076923075, 0.759258443888102, 2.11576923076923, 2.70063855696845, 4.99615384615384 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1305, '2023-04-30 00:00:00', 0.190248420593866, 0.392307692307692, 0.343781012587063, 0.585769230769229, 0.381365360856937, 0.773461538461536, 0.721487779095817, 2.15615384615384, 2.70620722385806, 5.00846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 930, '2023-04-30 00:00:00', 0.259293913027915, 0.873333333333335, 0.208406653764525, 0.943333333333337, 0.342393535764515, 1.26666666666667, 0.241729876790888, 1.85333333333333, 0.602245796996548, 5.04999999999999 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 945, '2023-04-30 00:00:00', 0.167729941672133, 0.606666666666664, 0.30265491900844, 0.920000000000006, 0.339558536926997, 0.979999999999999, 0.289309522829783, 1.7, 0.540401085614505, 4.98333333333332 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 960, '2023-04-30 00:00:00', 0.277308492477251, 0.780000000000011, 0.321403173599768, 0.840000000000003, 0.176162803489655, 1.00666666666667, 0.358096821171774, 1.62333333333333, 0.535194668633143, 4.97666666666666 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 975, '2023-04-30 00:00:00', 0.165227116418589, 0.479999999999999, 0.370720020140979, 0.713333333333329, 0.178978583448795, 1.02666666666666, 0.328684245642119, 1.54333333333333, 0.535194668633143, 4.97666666666666 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 990, '2023-04-30 00:00:00', 0.412939866485826, 1.1112, 0.383269704864166, 1.2204, 0.489095423545682, 1.3868, 0.61804314843976, 1.8124, 2.73743687902875, 4.9276 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1005, '2023-04-30 00:00:00', 0.170587221092318, 0.550000000000003, 0.290674502952474, 0.816000000000007, 0.353094888096667, 0.964800000000005, 0.530797513181817, 1.4972, 2.77147626124899, 4.7784 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1020, '2023-04-30 00:00:00', 0.233046490354754, 0.577600000000001, 0.222842994056357, 0.675600000000001, 0.303753189283671, 0.8692, 0.481555465825766, 1.3904, 2.76460967709127, 4.744 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1035, '2023-04-30 00:00:00', 0.156197524521569, 0.446799999999997, 0.285652469503297, 0.611599999999996, 0.350552896626648, 0.849599999999998, 0.468955221742974, 1.3424, 2.76804834977041, 4.758 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1050, '2023-04-30 00:00:00', 0.179274463695566, 0.443200000000002, 0.227908607413881, 0.585600000000002, 0.239104579629922, 0.827200000000003, 0.432801725196813, 1.2756, 2.78118380071029, 4.74 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1065, '2023-04-30 00:00:00', 0.162349417409899, 0.416399999999998, 0.195041021326284, 0.579200000000001, 0.302215706629111, 0.825199999999997, 0.411433267168976, 1.2276, 2.77525422258935, 4.7412 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1080, '2023-04-30 00:00:00', 0.136495421168622, 0.396800000000004, 0.181888244076776, 0.568000000000001, 0.361668817197909, 0.772799999999999, 0.427473196040796, 1.212, 2.77241062374726, 4.7324 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1095, '2023-04-30 00:00:00', 0.118733595358123, 0.393199999999998, 0.229250954196484, 0.5532, 0.298621834432781, 0.726000000000001, 0.448516814995083, 1.2556, 2.77255946735142, 4.7188 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1110, '2023-04-30 00:00:00', 0.127517319085159, 0.362399999999997, 0.200700440125742, 0.488399999999998, 0.205284355630591, 0.707999999999995, 0.462530359363937, 1.2548, 2.76817978703215, 4.7112 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1125, '2023-04-30 00:00:00', 0.129612242220142, 0.339200000000003, 0.189831504234672, 0.481200000000001, 0.233225213045243, 0.677599999999999, 0.515393700647056, 1.3084, 2.69335243392567, 4.8084 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1140, '2023-04-30 00:00:00', 0.117383985279081, 0.330400000000002, 0.18008516503773, 0.488399999999999, 0.254991503126409, 0.639600000000002, 0.486376740123673, 1.3196, 2.6910112721181, 4.814 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1155, '2023-04-30 00:00:00', 0.120957292738663, 0.341600000000001, 0.162545378279422, 0.452800000000001, 0.222869917216293, 0.607199999999999, 0.732771451408966, 1.9496, 2.67640386837762, 4.8772 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1170, '2023-04-30 00:00:00', 0.0986204846875128, 0.314800000000002, 0.157920866259019, 0.401600000000001, 0.186080627685957, 0.605199999999999, 0.688813714536329, 2.0168, 2.68063580766455, 4.876 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1185, '2023-04-30 00:00:00', 0.112691318801994, 0.2808, 0.132444957120555, 0.414, 0.236619948440529, 0.631600000000001, 0.686782838069406, 2.0596, 2.69095138070783, 4.9188 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1200, '2023-04-30 00:00:00', 0.0947663794109861, 0.3016, 0.170701493842322, 0.448400000000001, 0.232545336081664, 0.597600000000001, 0.68903313901921, 2.056, 2.69264411561078, 4.9464 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1215, '2023-04-30 00:00:00', 0.145426957611031, 0.323600000000001, 0.206528448403604, 0.449600000000003, 0.227139457896099, 0.595600000000001, 0.720863371243124, 2.0676, 2.67723999671304, 4.9684 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1230, '2023-04-30 00:00:00', 0.126967187362198, 0.320400000000001, 0.145083883782226, 0.419200000000002, 0.168757222067682, 0.579600000000003, 0.722353099252715, 2.1076, 2.68553675578397, 4.9992 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1245, '2023-04-30 00:00:00', 0.0900925450115998, 0.308000000000003, 0.144231295725537, 0.441200000000001, 0.194342481202647, 0.582399999999999, 0.73877533797495, 2.1116, 2.69631334727006, 5.0184 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1260, '2023-04-30 00:00:00', 0.120840114752233, 0.332399999999999, 0.170525657893471, 0.4196, 0.29052653349852, 0.638399999999997, 0.721038140461378, 2.1228, 2.7030921799549, 5.0264 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1275, '2023-04-30 00:00:00', 0.10373523991393, 0.288800000000002, 0.162082283629848, 0.409599999999999, 0.404816007588635, 0.7048, 0.737040704439044, 2.1504, 2.7030921799549, 5.0264 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1290, '2023-04-30 00:00:00', 0.100990098524557, 0.306399999999999, 0.194947001344808, 0.457199999999998, 0.355716647534714, 0.695199999999998, 0.728954045190781, 2.1364, 2.7002081401255, 5.0136 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1305, '2023-04-30 00:00:00', 0.136440463206481, 0.350799999999998, 0.31059727408119, 0.5496, 0.365179407962716, 0.736799999999996, 0.736941879209843, 2.13, 2.70190364989823, 5.022 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 930, '2023-04-30 00:00:00', 0.168027775481704, 0.836666666666664, 0.185022521151701, 0.903333333333327, 0.274043792120871, 1.09999999999999, 1.29167849456951, 1.97666666666666, 0.737586153159986, 4.51666666666665 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 945, '2023-04-30 00:00:00', 0.102632028788935, 0.683333333333328, 0.257746645629639, 0.966666666666659, 0.297040962382854, 1.10666666666666, 1.29881997726142, 1.96666666666666, 0.750821772016067, 4.50666666666665 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 960, '2023-04-30 00:00:00', 0.0208166599946469, 0.513333333333331, 0.173493515728964, 0.629999999999995, 0.109696551146036, 0.866666666666665, 1.29881997726142, 1.96666666666666, 0.750821772016067, 4.50666666666665 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 975, '2023-04-30 00:00:00', 0.0750555349946487, 0.553333333333323, 0.0611010092660657, 0.793333333333332, 0.141774468787573, 1.03, 1.29881997726142, 1.96666666666666, 0.750821772016067, 4.50666666666665 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 990, '2023-04-30 00:00:00', 0.69550509224112, 1.2876, 0.684505174073453, 1.40159999999999, 0.658744259937038, 1.5324, 0.709095668204698, 1.99599999999999, 2.6837037218491, 4.9336 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1005, '2023-04-30 00:00:00', 0.252438111227286, 0.633999999999999, 0.348935046486686, 0.8816, 0.412378466945111, 1.0432, 0.661963745230808, 1.5972, 2.65964201851803, 4.8104 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1020, '2023-04-30 00:00:00', 0.21696773953747, 0.648000000000001, 0.275470506588276, 0.764399999999999, 0.430060848407914, 0.9624, 0.619162606536709, 1.5196, 2.65797855521823, 4.8 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1035, '2023-04-30 00:00:00', 0.159491901570791, 0.462800000000002, 0.237954477439139, 0.621600000000001, 0.409089232319798, 0.8396, 0.577945499160608, 1.4072, 2.63811725794489, 4.8028 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1050, '2023-04-30 00:00:00', 0.149530375955297, 0.424799999999998, 0.283254891102226, 0.571999999999999, 0.316911133705754, 0.7508, 0.597623906259897, 1.3828, 2.57060284758265, 4.7936 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1065, '2023-04-30 00:00:00', 0.175011428198278, 0.410400000000001, 0.227854485728651, 0.5552, 0.316556998553709, 0.751999999999998, 0.619118459316686, 1.3608, 2.55726253377839, 4.874 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1080, '2023-04-30 00:00:00', 0.133026313186533, 0.3828, 0.157763536133462, 0.503200000000002, 0.278249288708284, 0.686800000000001, 0.636064200114004, 1.3812, 2.54761901913663, 4.8828 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1095, '2023-04-30 00:00:00', 0.12625767303416, 0.369200000000001, 0.255605816313582, 0.544799999999998, 0.509174167975298, 0.758000000000002, 0.794814863139003, 1.5616, 2.52735184201435, 4.8936 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1110, '2023-04-30 00:00:00', 0.164096516314838, 0.408799999999997, 0.182786761008557, 0.4912, 0.480559396259542, 0.759599999999998, 0.885075326361173, 1.578, 2.53875113654989, 4.8936 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1125, '2023-04-30 00:00:00', 0.0904580934282147, 0.300800000000002, 0.441311303579085, 0.511600000000002, 0.441111474950874, 0.687200000000001, 0.849752512990304, 1.5428, 2.58056195430375, 5.098 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1140, '2023-04-30 00:00:00', 0.167816324714196, 0.356666666666667, 0.215654967986806, 0.491249999999998, 0.251895711109501, 0.604166666666667, 0.876719428621118, 1.5025, 2.70459941045148, 5.13833333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1155, '2023-04-30 00:00:00', 0.126109568187371, 0.305833333333332, 0.185080769677315, 0.428750000000001, 0.229957462985241, 0.5875, 0.830930921107269, 1.95125, 2.70641374559007, 5.14833333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1170, '2023-04-30 00:00:00', 0.131710458686983, 0.337916666666667, 0.172071774710942, 0.460000000000001, 0.213025139701698, 0.623333333333331, 0.816744931180289, 1.99125, 2.71266724589592, 5.13625 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1185, '2023-04-30 00:00:00', 0.136779071837591, 0.300416666666667, 0.197063588648474, 0.400833333333331, 0.292105983843363, 0.590416666666665, 0.821185075081271, 2.03333333333333, 2.71266564310907, 5.14375 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1200, '2023-04-30 00:00:00', 0.11849830305151, 0.293749999999998, 0.178258483547129, 0.422499999999996, 0.249654834184888, 0.588333333333333, 0.812282077798741, 2.0775, 2.68893623570924, 5.14708333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1215, '2023-04-30 00:00:00', 0.126793652975148, 0.316249999999995, 0.176238885968834, 0.43083333333333, 0.261583458569344, 0.647916666666665, 0.801102388107713, 2.12791666666666, 2.65636448602384, 5.14875 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1230, '2023-04-30 00:00:00', 0.100078773321641, 0.296250000000001, 0.128468543490872, 0.397916666666668, 0.253442601339856, 0.663750000000002, 0.778599518459216, 2.13541666666666, 2.64042596475689, 5.14333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1245, '2023-04-30 00:00:00', 0.0782311235740139, 0.296250000000003, 0.19853813564237, 0.485000000000002, 0.325849780896265, 0.647083333333335, 0.807190062563613, 2.14583333333333, 2.63834805034943, 5.1475 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1260, '2023-04-30 00:00:00', 0.179004898321775, 0.335833333333335, 0.204570954346703, 0.453333333333334, 0.320654900504252, 0.6425, 0.771932921167769, 2.1275, 2.63204664951391, 5.135 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1275, '2023-04-30 00:00:00', 0.0901166715583413, 0.310833333333335, 0.165445708946155, 0.40375, 0.636179578831121, 0.811249999999998, 0.766459841352303, 2.08458333333333, 2.65603646626791, 5.15416666666666 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1290, '2023-04-30 00:00:00', 0.124306044718762, 0.287916666666665, 0.203420033784597, 0.443333333333333, 0.752467920256069, 0.844166666666665, 0.755142754524034, 2.08333333333333, 2.64515416936521, 5.14833333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1305, '2023-04-30 00:00:00', 0.174154271107331, 0.339166666666666, 0.632464125121118, 0.652499999999996, 0.711332567607537, 0.878749999999997, 0.751001143402128, 2.08125, 2.64650052639932, 5.14208333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1320, '2023-04-30 00:00:00', 0.0886876376730394, 0.318947368421051, 0.153090960233657, 0.44578947368421, 0.420235940412093, 0.787368421052627, 3.07267612944991, 2.86947368421052, 2.64913943877665, 5.0121052631579 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1335, '2023-04-30 00:00:00', 0.11930598530105, 0.33684210526316, 0.21365792192741, 0.519473684210524, 2.94904008567205, 2.25473684210527, 3.06809310837162, 2.8778947368421, 2.65018503160711, 5.01842105263158 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1350, '2023-04-30 00:00:00', 0.161241528178558, 0.401052631578946, 0.400555170287993, 0.599999999999999, 2.92565702122583, 2.30368421052632, 3.07085259700212, 2.90368421052631, 2.65421027119983, 5.05105263157895 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1365, '2023-04-30 00:00:00', 0.265013516150948, 0.428947368421048, 2.98042002220693, 2.15421052631579, 2.98797326134728, 2.33210526315789, 3.07320479618562, 2.92894736842105, 2.65495773691321, 5.07684210526316 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1320, '2023-04-30 00:00:00', 0.11997364664512, 0.338695652173914, 0.133552849600313, 0.419999999999996, 0.289444745797128, 0.666521739130434, 0.683180194286699, 2.17521739130434, 1.61569525166259, 4.40434782608696 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1335, '2023-04-30 00:00:00', 0.10405038305282, 0.279130434782603, 0.16986625755148, 0.439999999999995, 0.492014894212036, 1.46826086956521, 0.696063181449188, 2.17695652173913, 1.61603819467249, 4.40608695652174 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1350, '2023-04-30 00:00:00', 0.0965123023553421, 0.316521739130435, 0.229371025183381, 0.477391304347829, 0.516009314497541, 1.52260869565217, 0.732535258631513, 2.16521739130435, 1.6298012682266, 4.40608695652174 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1365, '2023-04-30 00:00:00', 0.206544121940808, 0.391739130434788, 0.525398023410778, 1.39391304347826, 0.579761774710112, 1.64347826086957, 0.787893825234021, 2.17695652173913, 1.62625178298444, 4.38695652173913 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1320, '2023-04-30 00:00:00', 0.20319872863815, 0.36478260869565, 0.189440616119071, 0.47173913043478, 0.322938582494011, 0.704347826086956, 0.75608833162362, 2.17826086956522, 2.88288660510011, 5.00478260869565 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1335, '2023-04-30 00:00:00', 0.134220042329176, 0.331739130434781, 0.233899745423318, 0.489999999999998, 0.624258295076907, 1.59434782608695, 0.741443416533552, 2.17260869565217, 2.85818677146077, 5.0595652173913 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1350, '2023-04-30 00:00:00', 0.130197478467171, 0.348260869565217, 0.322228529612825, 0.57304347826087, 0.619379710110395, 1.64695652173913, 0.73101802425019, 2.15652173913043, 2.85555273509787, 5.05217391304348 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1365, '2023-04-30 00:00:00', 0.272287194347316, 0.483043478260869, 0.62385135555995, 1.54782608695652, 0.70212945441064, 1.75304347826087, 0.747005881209285, 2.14782608695652, 2.85369076603305, 5.03347826086957 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1320, '2023-04-30 00:00:00', 0.0965867709834234, 0.333636363636366, 0.148012079769106, 0.438636363636364, 0.218472164314099, 0.645909090909095, 0.696260419260332, 2.145, 2.88302075226813, 5.06090909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1335, '2023-04-30 00:00:00', 0.0927700224009737, 0.294090909090906, 0.190556260226969, 0.414545454545451, 0.813511973852711, 1.76272727272727, 0.693424278084658, 2.16090909090909, 2.88231343471364, 5.05545454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1350, '2023-04-30 00:00:00', 0.154600448580525, 0.331818181818181, 0.180864326946764, 0.485000000000006, 0.737532448475398, 1.86272727272727, 0.689215627955562, 2.15909090909091, 2.85980795074626, 5.06590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1365, '2023-04-30 00:00:00', 0.118760736584585, 0.377727272727278, 0.791658897204983, 1.7, 0.727902906088884, 1.88954545454545, 0.692554247175904, 2.14863636363636, 2.84718361639262, 5.06454545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1320, '2023-04-30 00:00:00', 0.120629302291895, 0.347142857142851, 0.146659631865924, 0.447619047619044, 0.256368410504805, 0.753809523809522, 0.734980401423188, 1.9847619047619, 2.82143563591641, 5.22095238095238 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1335, '2023-04-30 00:00:00', 0.0982004752194919, 0.306666666666664, 0.134014924542007, 0.479999999999998, 0.550904883329412, 1.46809523809524, 0.698637790206603, 1.96952380952381, 2.7960363101396, 5.20095238095238 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1350, '2023-04-30 00:00:00', 0.115061060394248, 0.379047619047618, 0.216616844088495, 0.588571428571431, 0.506637373839942, 1.50285714285714, 0.705515009458648, 1.95714285714286, 2.79491971091769, 5.19190476190476 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1365, '2023-04-30 00:00:00', 0.169937294937065, 0.5045, 0.42749453674564, 1.436, 0.3834071629894, 1.603, 0.601167942206539, 2.0315, 2.62388477563126, 5.4215 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2023-04-30 16:00:58 Duration: 710ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 930, '2023-04-30 00:00:00', 0.473427220735493, 1.01333333333334, 0.576888204074232, 1.48, 0.843267454607373, 1.71, 0.998114889846524, 2.11333333333333, 2.91496712388549, 6.01666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 945, '2023-04-30 00:00:00', 0.180369990112908, 0.676666666666667, 0.208806130178202, 0.809999999999997, 0.443771713083801, 1.15333333333334, 1.03568013079972, 2.01666666666667, 2.94137722844247, 5.95 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 960, '2023-04-30 00:00:00', 0.126622799421477, 0.706666666666668, 0.395263625107764, 1.11666666666667, 0.330050501186307, 1.22666666666667, 1.03568013079972, 2.01666666666667, 2.94137722844247, 5.95 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 975, '2023-04-30 00:00:00', 0.255408170059869, 0.616666666666669, 0.326955654485432, 0.74, 1.11401675630725, 1.61333333333333, 1.14408624383537, 2.00333333333334, 2.94137722844247, 5.95 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 990, '2023-04-30 00:00:00', 0.704851462661171, 1.18181818181818, 0.65786302999467, 1.31136363636364, 0.651165455331018, 1.57545454545455, 0.742092513573139, 1.96181818181818, 3.30987885759404, 5.56863636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1005, '2023-04-30 00:00:00', 0.261140107689637, 0.696818181818184, 0.504175852300849, 0.951363636363637, 0.540114025158722, 1.22227272727273, 0.606066017291859, 1.57727272727273, 3.29802052660977, 5.46818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1020, '2023-04-30 00:00:00', 0.494405935883894, 0.679090909090909, 0.554090651623407, 0.864545454545457, 0.594872935612143, 1.115, 0.590636350643356, 1.44681818181818, 3.31530273897909, 5.39681818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1035, '2023-04-30 00:00:00', 0.192583821071575, 0.488636363636367, 0.25176949534818, 0.665454545454547, 0.360141867188703, 0.894545454545456, 0.477342934436323, 1.28909090909091, 3.330005427501, 5.36136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1050, '2023-04-30 00:00:00', 0.158005013893813, 0.503181818181819, 0.200616474141506, 0.647727272727273, 0.273028549321473, 0.817272727272728, 0.466315808117671, 1.28863636363636, 3.32547835311798, 5.36409090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1065, '2023-04-30 00:00:00', 0.171628941342923, 0.472272727272725, 0.243141862639828, 0.643181818181819, 0.313868820311347, 0.767727272727275, 0.521225661759084, 1.33, 3.29311718273444, 5.49727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1080, '2023-04-30 00:00:00', 0.171787143031197, 0.448181818181818, 0.218988722554516, 0.573181818181819, 0.292084981407183, 0.787727272727272, 0.551518957220112, 1.34727272727273, 3.2851129508081, 5.50363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1095, '2023-04-30 00:00:00', 0.124762111298197, 0.383181818181818, 0.190397738172746, 0.506818181818183, 0.236672916203077, 0.779545454545454, 0.500783152905297, 1.38863636363636, 3.27883624165147, 5.48363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1110, '2023-04-30 00:00:00', 0.140284960455031, 0.38681818181818, 0.233184708386094, 0.596818181818182, 0.266739573366983, 0.745000000000001, 0.531156746335291, 1.44318181818182, 3.27510615802303, 5.47818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1125, '2023-04-30 00:00:00', 0.181619100965448, 0.439545454545456, 0.221759981009849, 0.578181818181818, 0.231268382912721, 0.682272727272727, 0.505718810359589, 1.45090909090909, 3.27611439683134, 5.64272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1140, '2023-04-30 00:00:00', 0.143698819234363, 0.407272727272728, 0.212780499871444, 0.51227272727273, 0.23208680642011, 0.665, 0.508380205063527, 1.53136363636364, 3.26284637245097, 5.64045454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1155, '2023-04-30 00:00:00', 0.13928155171935, 0.352272727272729, 0.154073125945206, 0.493636363636364, 0.218996135489436, 0.665454545454547, 1.17032315069654, 2.06090909090909, 3.25701866171666, 5.66090909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1170, '2023-04-30 00:00:00', 0.121281933359043, 0.370454545454544, 0.173323134898111, 0.481363636363636, 0.200959279543474, 0.633181818181816, 1.23342140202704, 2.14045454545455, 3.25448195783182, 5.63363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1185, '2023-04-30 00:00:00', 0.117227163201231, 0.312272727272727, 0.154407820047352, 0.426818181818181, 0.21125270561038, 0.589090909090908, 1.20983881435089, 2.18363636363637, 3.2557084399386, 5.60772727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1200, '2023-04-30 00:00:00', 0.106039484600654, 0.33409090909091, 0.118105536487152, 0.438181818181817, 0.282933382090733, 0.633181818181819, 1.23822803150658, 2.20909090909091, 3.2584248445426, 5.60090909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1215, '2023-04-30 00:00:00', 0.121196238136867, 0.318636363636364, 0.200456189684141, 0.457272727272728, 0.4108264292598, 0.694545454545456, 1.25799650031516, 2.23863636363637, 3.26486295065813, 5.59409090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1230, '2023-04-30 00:00:00', 0.165284092304222, 0.340454545454543, 0.240068983592461, 0.499545454545454, 0.367162985619, 0.710909090909091, 1.24324425478515, 2.25909090909091, 3.26457162918474, 5.58772727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1245, '2023-04-30 00:00:00', 0.116809127615835, 0.36409090909091, 0.244143524603994, 0.518181818181819, 0.263682299326968, 0.700454545454545, 1.22753836310742, 2.26136363636364, 3.26641830268852, 5.56863636363637 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1260, '2023-04-30 00:00:00', 0.205925216535506, 0.383636363636364, 0.185819816836111, 0.503636363636365, 0.237352369244858, 0.681363636363636, 1.22479753605606, 2.26636363636364, 3.24765209895459, 5.55818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1275, '2023-04-30 00:00:00', 0.137614965711868, 0.339545454545456, 0.143478734264515, 0.473636363636364, 0.284249219959562, 0.734999999999998, 1.18500552540404, 2.28, 3.24310327173971, 5.54954545454546 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1290, '2023-04-30 00:00:00', 0.0837797566184575, 0.339999999999999, 0.190456276015237, 0.495454545454545, 0.396776240822693, 0.761363636363633, 1.1208098494458, 2.25363636363637, 3.22891683016207, 5.52909090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1305, '2023-04-30 00:00:00', 0.171283037069869, 0.369545454545453, 0.319594236791711, 0.564999999999999, 0.413105648782826, 0.800909090909089, 1.04660738244435, 2.21181818181818, 3.23442722603546, 5.51636363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 930, '2023-04-30 00:00:00', 0.132790561913616, 0.963333333333338, 0.333216646242856, 1.16666666666667, 0.205020324195762, 1.26666666666667, 0.276224546338662, 1.74, 2.71478053133826, 6.35666666666666 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 945, '2023-04-30 00:00:00', 0.508068236886876, 0.803333333333327, 0.400790884793228, 0.933333333333328, 0.435545634807657, 1.03, 0.443771713083809, 1.60666666666667, 2.85196423539987, 6.26 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 960, '2023-04-30 00:00:00', 0.438634243989227, 0.739999999999995, 0.39715656022951, 0.773333333333326, 0.605750223552038, 1.06666666666666, 0.356978057215477, 1.53333333333334, 2.87594042590129, 6.24333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 975, '2023-04-30 00:00:00', 0.0750555349946399, 0.373333333333335, 0.246373699895089, 0.609999999999999, 0.48562674281111, 0.883333333333335, 0.280059517483934, 1.48333333333333, 2.87594042590129, 6.24333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 990, '2023-04-30 00:00:00', 0.766205836975535, 1.25076923076923, 0.845383936445446, 1.405, 0.829004593102242, 1.55615384615385, 1.0572897135892, 1.99846153846154, 3.03397307426823, 5.13615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1005, '2023-04-30 00:00:00', 0.291426465193853, 0.694230769230769, 0.393504178454993, 0.931538461538464, 0.492143818879743, 1.17846153846154, 0.90810097710298, 1.78076923076923, 2.99895356108401, 5.00230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1020, '2023-04-30 00:00:00', 0.265080829472536, 0.639615384615384, 0.336241671329512, 0.842307692307691, 0.404978252027667, 1.07923076923077, 0.869106791703194, 1.67115384615385, 2.99549970147528, 4.93230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1035, '2023-04-30 00:00:00', 0.208106851253059, 0.592692307692306, 0.239717782787627, 0.746153846153844, 0.31460060149583, 0.951538461538461, 0.840937663472243, 1.57807692307692, 2.97878170760102, 4.87730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1050, '2023-04-30 00:00:00', 0.16316296714069, 0.523076923076923, 0.226962551977195, 0.71, 0.375981177924967, 0.944615384615386, 0.828313578673793, 1.55076923076923, 2.96960139775332, 4.85730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1065, '2023-04-30 00:00:00', 0.178166732628133, 0.479230769230768, 0.270281050304762, 0.609615384615386, 0.398798966127815, 0.913846153846155, 0.778722919025365, 1.47423076923077, 2.95920030777547, 4.84769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1080, '2023-04-30 00:00:00', 0.22576127623256, 0.448076923076924, 0.310904387974081, 0.668461538461539, 0.407204352402308, 0.879230769230769, 0.780490969740301, 1.41692307692308, 2.96178399981134, 4.84269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1095, '2023-04-30 00:00:00', 0.225437693933719, 0.473076923076925, 0.254141390084036, 0.639615384615384, 0.311357573316499, 0.816538461538461, 0.851326295575594, 1.44269230769231, 2.96154159440394, 4.84384615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1110, '2023-04-30 00:00:00', 0.215196511267115, 0.458461538461539, 0.30030881541404, 0.614230769230769, 0.316405047124969, 0.778076923076923, 0.993634819159511, 1.45307692307692, 3.04920834618783, 4.65346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1125, '2023-04-30 00:00:00', 0.187556350506678, 0.41423076923077, 0.201727920343601, 0.553076923076923, 0.301718156818325, 0.734615384615384, 1.18471112999687, 1.49730769230769, 3.13143714856048, 4.85115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1140, '2023-04-30 00:00:00', 0.151933689989568, 0.389615384615384, 0.187934522149032, 0.509230769230768, 0.31643033016156, 0.721923076923076, 1.17979215901002, 1.53153846153846, 3.10604613864389, 4.85884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1155, '2023-04-30 00:00:00', 0.122406636320849, 0.349230769230767, 0.23706831212835, 0.515769230769228, 0.255451335121552, 0.669230769230768, 3.08284865767911, 2.69038461538462, 2.95934901885273, 5.02884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1170, '2023-04-30 00:00:00', 0.171792361252226, 0.366153846153846, 0.19598116079005, 0.463846153846153, 0.432703309261848, 0.701923076923078, 3.15922135002623, 2.74653846153846, 2.95492392196743, 5.03923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1185, '2023-04-30 00:00:00', 0.118033241732346, 0.339615384615384, 0.151783246263065, 0.466923076923076, 0.458857443925841, 0.716923076923079, 3.17923253922414, 2.83346153846154, 2.96028418594203, 5.06769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1200, '2023-04-30 00:00:00', 0.109130831855796, 0.35153846153846, 0.378177003734818, 0.545384615384615, 0.522286835428135, 0.72346153846154, 3.17279852205249, 2.85230769230769, 2.9601210214345, 5.09269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1215, '2023-04-30 00:00:00', 0.288946095585053, 0.415384615384615, 0.339058424736235, 0.533846153846153, 0.472804399302715, 0.720000000000001, 3.1675480446845, 2.89384615384615, 2.95931249812156, 5.09769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1230, '2023-04-30 00:00:00', 0.173160663502469, 0.333846153846152, 0.221107700871352, 0.473846153846154, 0.314032825329798, 0.663846153846153, 3.16352960132532, 2.88653846153846, 2.959157078525, 5.09884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1245, '2023-04-30 00:00:00', 0.201909728496517, 0.356538461538461, 0.274287047844743, 0.524230769230769, 0.334718481023175, 0.682692307692307, 3.2161148324313, 2.93884615384615, 2.959157078525, 5.09884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1260, '2023-04-30 00:00:00', 0.211571773600866, 0.388846153846152, 0.250780013925784, 0.481153846153845, 0.352105753344733, 0.682307692307692, 3.22257329092522, 2.94115384615385, 2.96150803580774, 5.09461538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1275, '2023-04-30 00:00:00', 0.130843417870369, 0.339999999999999, 0.256317411395743, 0.498846153846153, 0.548751309793424, 0.780000000000001, 3.22698010768344, 2.93384615384615, 2.96150803580774, 5.09461538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1290, '2023-04-30 00:00:00', 0.250674167918312, 0.408461538461538, 0.28814659730502, 0.53269230769231, 0.849942622497814, 0.852307692307693, 3.22823209536403, 2.93230769230769, 2.96398245608843, 5.09 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1305, '2023-04-30 00:00:00', 0.135255882852299, 0.363076923076926, 0.530434364822467, 0.593846153846156, 1.10991870804196, 0.916538461538464, 3.21832285515298, 2.905, 2.97411240799412, 5.06384615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 930, '2023-04-30 00:00:00', 1.27007873771668, 1.47, 2.23756564149524, 2.03, 3.08597364430309, 2.62666666666666, 4.59102385095089, 3.57999999999999, 2.85114596843677, 6.32333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 945, '2023-04-30 00:00:00', 0.878711177425969, 0.853333333333334, 1.67434564332856, 1.48666666666667, 2.35270765998102, 2.01333333333333, 3.06627352552464, 2.59333333333332, 1.81248448269219, 5.57 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 960, '2023-04-30 00:00:00', 0.989090491310077, 1.04, 0.924247441615787, 1.13333333333333, 1.67887859398271, 1.71333333333333, 2.35140383600945, 2.17999999999999, 1.8279040820933, 5.58333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 975, '2023-04-30 00:00:00', 0.223009715782371, 0.566666666666658, 0.892711226171909, 1.08333333333333, 1.13209245794384, 1.34333333333333, 1.47520620027619, 1.80666666666666, 1.83147481555166, 5.59000000000001 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 990, '2023-04-30 00:00:00', 0.625800164712224, 1.27461538461539, 0.724923444233941, 1.425, 0.798466992718884, 1.60153846153846, 0.874697662052438, 1.92, 1.49974526042053, 4.38961538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1005, '2023-04-30 00:00:00', 0.310760110300288, 0.740384615384616, 0.434324940391585, 0.993076923076922, 0.560826313439511, 1.19692307692308, 0.834418452484214, 1.70307692307692, 1.50771661283392, 4.33423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1020, '2023-04-30 00:00:00', 0.367834410905443, 0.766923076923074, 0.390422256616524, 0.888461538461538, 0.504623088590346, 1.09269230769231, 0.825673897259312, 1.67576923076923, 1.51473363995126, 4.295 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1035, '2023-04-30 00:00:00', 0.225024101273277, 0.530384615384619, 0.366982917229756, 0.75269230769231, 0.462990945251217, 0.956153846153846, 0.813189730912493, 1.65153846153846, 1.51642291645123, 4.28769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1050, '2023-04-30 00:00:00', 0.323074890103494, 0.554230769230768, 0.325302226339659, 0.701538461538461, 0.390151844207432, 0.882307692307692, 0.856135862690384, 1.61615384615385, 1.50958359006205, 4.28884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1065, '2023-04-30 00:00:00', 0.202791670288652, 0.507307692307694, 0.33593955500266, 0.669230769230769, 0.568371492816231, 0.916923076923075, 0.90830967270995, 1.66230769230769, 1.51021771227249, 4.30846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1080, '2023-04-30 00:00:00', 0.252480920832871, 0.481153846153846, 0.337891425438134, 0.631153846153847, 0.581394742110592, 0.910384615384614, 0.985551388036939, 1.66653846153846, 1.53575538917649, 4.27384615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1095, '2023-04-30 00:00:00', 0.309760205022181, 0.430769230769234, 0.544729714205547, 0.642307692307692, 0.749044622271492, 0.969615384615384, 1.1101306922368, 1.72692307692308, 1.56435157370517, 4.25038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1110, '2023-04-30 00:00:00', 0.263864767228622, 0.446153846153846, 0.341177147760287, 0.644615384615385, 0.602322300638249, 0.868076923076923, 1.20930806662322, 1.775, 1.5469943065879, 4.25923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1125, '2023-04-30 00:00:00', 0.185121997196859, 0.423076923076922, 0.576529670995745, 0.667692307692305, 0.582664437007998, 0.804615384615383, 1.25420327146513, 1.82538461538462, 1.51389766954248, 4.43692307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1140, '2023-04-30 00:00:00', 0.55795174867201, 0.493076923076924, 0.562758043376205, 0.596153846153847, 0.581337582318041, 0.744230769230769, 1.30671784959934, 1.89653846153846, 1.51151233486913, 4.45153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1155, '2023-04-30 00:00:00', 0.128747815515449, 0.349999999999998, 0.201932204921888, 0.486153846153846, 0.389499086599107, 0.701538461538462, 1.38625560968553, 2.46615384615385, 1.47550419022943, 4.48615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1170, '2023-04-30 00:00:00', 0.121249900872283, 0.34846153846154, 0.144231117948297, 0.458846153846155, 0.410346382762362, 0.681923076923078, 1.38118549971225, 2.56576923076923, 1.46852940569286, 4.49884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1185, '2023-04-30 00:00:00', 0.117226933109051, 0.343076923076923, 0.379565743773267, 0.543076923076923, 0.486376871919771, 0.757692307692307, 1.374016235488, 2.68615384615385, 1.46192139113092, 4.51307692307693 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1200, '2023-04-30 00:00:00', 0.386515797268961, 0.422307692307694, 0.423809100711812, 0.536923076923077, 0.531098716016, 0.795384615384615, 1.35509409267401, 2.73, 1.46344803592275, 4.51192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1215, '2023-04-30 00:00:00', 0.254796751579345, 0.384230769230768, 0.377540216910217, 0.603846153846152, 0.603780907793035, 0.930769230769229, 1.36375821227168, 2.74730769230769, 1.46514798412468, 4.52884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1230, '2023-04-30 00:00:00', 0.404480483507499, 0.472692307692307, 0.54869131016096, 0.626923076923076, 0.780547342475876, 1.01307692307692, 1.37839594624164, 2.76076923076923, 1.49347380291721, 4.56 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1245, '2023-04-30 00:00:00', 0.365055949347279, 0.474615384615383, 0.487038144138784, 0.723076923076922, 0.714855230099071, 1.015, 1.2586093057877, 2.72576923076923, 1.5219544620702, 4.58423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1260, '2023-04-30 00:00:00', 0.366622211757342, 0.540384615384615, 0.537867584505273, 0.751538461538461, 0.703598224513437, 0.992307692307691, 1.20947929037506, 2.68192307692308, 1.52015707690407, 4.58846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1275, '2023-04-30 00:00:00', 0.316572023643666, 0.484615384615384, 0.44323357273564, 0.68, 0.760087140753255, 1.00730769230769, 1.13732026475192, 2.61423076923077, 1.50878677700381, 4.59846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1290, '2023-04-30 00:00:00', 0.339269123943719, 0.476538461538462, 0.394586638629104, 0.621153846153845, 0.763633016975682, 0.94923076923077, 1.10883341330497, 2.57653846153846, 1.51609889062483, 4.59961538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1305, '2023-04-30 00:00:00', 0.228198631425817, 0.431153846153844, 0.569436563631104, 0.724999999999999, 0.70175790258903, 0.948076923076923, 1.05172122659075, 2.53846153846154, 1.54531092216222, 4.63538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 930, '2023-04-30 00:00:00', 0.251462389500564, 0.846666666666664, 0.46057934531776, 1.15666666666666, 0.711219609778401, 1.59666666666666, 0.566303805390718, 2.43, 1.82205927455723, 5.23 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 945, '2023-04-30 00:00:00', 0.267270150472019, 0.646666666666661, 0.720208303201232, 1.26999999999999, 0.763697147653009, 1.36333333333333, 0.559493818851771, 2.28333333333333, 1.93496769998882, 4.99 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 960, '2023-04-30 00:00:00', 0.728583099813143, 0.956666666666663, 0.724591839129689, 1.05666666666666, 0.773498545570711, 1.28, 0.769566977808517, 2.05333333333333, 2.02474689776279, 4.76000000000001 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 975, '2023-04-30 00:00:00', 0.147309198626564, 0.530000000000001, 0.287112057101992, 0.703333333333338, 0.210713075057055, 1.1, 0.856523982929451, 1.98333333333333, 2.0316085580971, 4.74333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 990, '2023-04-30 00:00:00', 0.824110631731766, 1.432, 0.894642759243412, 1.5624, 0.962213074116126, 1.8604, 0.997501044276815, 2.324, 1.58124138996338, 4.3608 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1005, '2023-04-30 00:00:00', 0.315524431172397, 0.718400000000001, 0.476593817277002, 1.022, 0.553150973966419, 1.3152, 0.700200447491047, 1.8716, 1.56553803318007, 4.0552 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1020, '2023-04-30 00:00:00', 0.30000999983334, 0.6732, 0.356336451498674, 0.924400000000002, 0.483803334699821, 1.0736, 0.66455699529837, 1.7012, 1.62572568411771, 3.9544 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1035, '2023-04-30 00:00:00', 0.281002965583401, 0.6028, 0.325101009944088, 0.753599999999997, 0.450291387140964, 0.9396, 0.559697239585829, 1.5612, 1.65726179786619, 3.926 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1050, '2023-04-30 00:00:00', 0.196829029024347, 0.507999999999998, 0.215602257254726, 0.635199999999999, 0.348853837588181, 0.8664, 0.47210239002431, 1.4884, 1.65893359320579, 3.9224 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1065, '2023-04-30 00:00:00', 0.125655614014388, 0.446800000000001, 0.228468086757576, 0.596800000000003, 0.311912380859324, 0.766800000000003, 0.463929951609075, 1.3932, 1.67259030648074, 3.9 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1080, '2023-04-30 00:00:00', 0.21, 0.438000000000004, 0.266268661317849, 0.613600000000001, 0.349476751730355, 0.794400000000002, 0.464529511082627, 1.3628, 1.67924219019572, 3.8872 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1095, '2023-04-30 00:00:00', 0.188858853821227, 0.445200000000001, 0.23597316231583, 0.572000000000003, 0.299388265189759, 0.770000000000001, 0.686986171622107, 1.442, 1.68716013861558, 3.8748 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1110, '2023-04-30 00:00:00', 0.182461868162453, 0.405600000000002, 0.218348345539873, 0.5752, 0.257261216146805, 0.776000000000002, 0.694333733397227, 1.4492, 1.66899191130454, 3.8844 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1125, '2023-04-30 00:00:00', 0.161206906386379, 0.4272, 0.254521118966579, 0.546799999999999, 0.26871174146285, 0.813199999999999, 0.700490780334282, 1.4396, 3.13753130130468, 4.6988 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1140, '2023-04-30 00:00:00', 0.177165647535482, 0.387200000000002, 0.215180544349777, 0.581200000000003, 0.27540455091858, 0.766800000000002, 0.704037641039168, 1.4124, 3.21076039799505, 4.7264 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1155, '2023-04-30 00:00:00', 0.130989821487522, 0.380000000000002, 0.191376592090045, 0.544, 0.248815192462194, 0.735599999999999, 0.704112206967044, 1.9436, 3.18989879672276, 4.7972 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1170, '2023-04-30 00:00:00', 0.136318255074905, 0.349199999999998, 0.175088549025915, 0.483199999999999, 0.276044682373463, 0.715599999999998, 0.714866654232337, 1.9452, 3.19702205184762, 4.804 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1185, '2023-04-30 00:00:00', 0.137788485247012, 0.362399999999998, 0.175230324620672, 0.501599999999997, 0.256149045154052, 0.689599999999998, 0.704501715162333, 2.0068, 3.21125380498023, 4.8148 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1200, '2023-04-30 00:00:00', 0.129374134457651, 0.372799999999999, 0.253914027444986, 0.528399999999999, 0.254443837942023, 0.649999999999999, 0.72960560122119, 2.0392, 3.20789520818038, 4.818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1215, '2023-04-30 00:00:00', 0.212622513702887, 0.398, 0.224629324295235, 0.509999999999999, 0.233728474944754, 0.6304, 0.722680196675311, 2.03, 3.20637292486905, 4.8224 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1230, '2023-04-30 00:00:00', 0.158621141928392, 0.372400000000001, 0.212015722687415, 0.494400000000001, 0.258585898042925, 0.636, 0.717623856905552, 2.0256, 3.21416821795831, 4.8376 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1245, '2023-04-30 00:00:00', 0.149052563435409, 0.341999999999999, 0.187223574014243, 0.461199999999999, 0.245725456556703, 0.653199999999999, 0.72374443003038, 2.0032, 3.20191218909368, 4.858 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1260, '2023-04-30 00:00:00', 0.178465682975747, 0.360000000000001, 0.218053510252261, 0.461599999999999, 0.303451259128493, 0.689199999999998, 0.720317753957701, 2.0008, 3.2047442955718, 4.8588 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1275, '2023-04-30 00:00:00', 0.100553468363851, 0.321199999999998, 0.134979010714011, 0.481199999999998, 0.69215845969932, 0.797999999999998, 0.728954731104751, 2.004, 3.20263693436102, 4.858 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1290, '2023-04-30 00:00:00', 0.149296126317239, 0.3832, 0.26056029372617, 0.519999999999999, 0.666548822917971, 0.829599999999999, 0.707999999999998, 2.0216, 3.21269227699552, 4.848 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1305, '2023-04-30 00:00:00', 0.208464225548017, 0.373599999999999, 0.618683548620242, 0.638799999999999, 0.611827317685855, 0.8008, 0.668495325338927, 2.0088, 3.22367424946545, 4.8344 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 930, '2023-04-30 00:00:00', 0.540955943985581, 1.17666666666667, 0.435009578438601, 1.36333333333333, 0.59253691868102, 1.66, 1.0420332688227, 2.01666666666667, 2.79525192663083, 3.77333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 945, '2023-04-30 00:00:00', 0.291433239925254, 0.783333333333331, 0.520800665642181, 1.15333333333334, 0.77272245987806, 1.46000000000001, 1.17435088453153, 1.81, 2.79525192663083, 3.77333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 960, '2023-04-30 00:00:00', 0.388372673257703, 0.916666666666671, 0.531538647074068, 1.15666666666667, 0.542617114854784, 1.32666666666667, 0.946801633571317, 1.67666666666666, 2.69713428166515, 3.71666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 975, '2023-04-30 00:00:00', 0.164620776331545, 0.759999999999996, 0.11532562594671, 0.930000000000002, 0.321455025366438, 1.07333333333334, 0.779829041093838, 1.56666666666666, 2.89337173553625, 3.83000000000001 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 990, '2023-04-30 00:00:00', 0.563242103066404, 1.218, 0.548609454287231, 1.2884, 0.583383235960718, 1.4888, 0.663194792902758, 1.7376, 3.33538193715003, 4.7468 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1005, '2023-04-30 00:00:00', 0.274998787876117, 0.679199999999999, 0.359414802143707, 0.9104, 0.414944574612081, 1.1096, 0.50246160715687, 1.4448, 3.35735421624429, 4.6576 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1020, '2023-04-30 00:00:00', 0.250299820215675, 0.646, 0.296540047885609, 0.821199999999997, 0.344307517586627, 0.973199999999998, 0.476133034630728, 1.3912, 3.35130288097032, 4.6532 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1035, '2023-04-30 00:00:00', 0.199258625911153, 0.549599999999998, 0.243489903965924, 0.709599999999998, 0.326196259941774, 0.870399999999999, 0.472400606829978, 1.3304, 3.35323237091218, 4.6444 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1050, '2023-04-30 00:00:00', 0.205223455449582, 0.505999999999999, 0.229410113116229, 0.6796, 0.282050822843449, 0.818800000000001, 0.477188641943622, 1.3056, 3.35075747655163, 4.6456 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1065, '2023-04-30 00:00:00', 0.175601822314008, 0.498800000000002, 0.187283208003279, 0.612000000000001, 0.287336620244151, 0.799599999999999, 0.47388922756273, 1.2472, 3.27161310874824, 4.6476 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1080, '2023-04-30 00:00:00', 0.163069514829309, 0.423999999999998, 0.258806877806597, 0.586799999999999, 0.303294686182703, 0.787199999999998, 0.514206508450965, 1.238, 3.25707163978115, 4.6436 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1095, '2023-04-30 00:00:00', 0.155604198743691, 0.4372, 0.228011695606459, 0.6068, 0.325857842215484, 0.808000000000001, 0.875296711597463, 1.3588, 3.24582542147089, 4.6608 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1110, '2023-04-30 00:00:00', 0.177757325212399, 0.463200000000001, 0.227925426400829, 0.579999999999999, 0.380673525916017, 0.770400000000004, 0.881582289598272, 1.3596, 3.22218233500217, 4.6644 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1125, '2023-04-30 00:00:00', 0.120242809902854, 0.37, 0.280609455768454, 0.522000000000003, 0.301768122902339, 0.688400000000003, 0.874570751854875, 1.3236, 3.16314463785645, 4.8456 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1140, '2023-04-30 00:00:00', 0.200412165877933, 0.372083333333335, 0.247051819360381, 0.482083333333335, 0.249554675836547, 0.620833333333333, 0.93593323185618, 1.34666666666667, 3.2624137225529, 4.82291666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1155, '2023-04-30 00:00:00', 0.159807402197464, 0.349166666666668, 0.176203419170957, 0.467083333333334, 0.221573751911711, 0.614166666666664, 1.11563777496441, 1.87708333333333, 3.25311311324034, 4.84166666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1170, '2023-04-30 00:00:00', 0.110401113205896, 0.343333333333333, 0.135832777628452, 0.433749999999999, 0.323298220116404, 0.659999999999998, 1.1345687267205, 1.91125, 3.25381381579003, 4.865 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1185, '2023-04-30 00:00:00', 0.13137993912998, 0.325416666666666, 0.21603643010019, 0.472499999999998, 0.380816961243868, 0.669583333333331, 1.11339269671642, 1.95208333333334, 3.24881915560056, 4.87208333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1200, '2023-04-30 00:00:00', 0.155647315930991, 0.37, 0.285367484919491, 0.514583333333334, 0.337019921571757, 0.687916666666666, 1.08013250663243, 1.96083333333334, 3.2579111072294, 4.8625 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1215, '2023-04-30 00:00:00', 0.177149327004, 0.370833333333334, 0.220459007330258, 0.502499999999998, 0.289742201755733, 0.718749999999998, 1.00626506649986, 2.00958333333334, 3.24555144261598, 4.89708333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1230, '2023-04-30 00:00:00', 0.0980202581841749, 0.340833333333331, 0.181009648233518, 0.474166666666665, 0.190719461627486, 0.644999999999999, 0.937116201632604, 2.01291666666667, 3.24816191054286, 4.89583333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1245, '2023-04-30 00:00:00', 0.161108029289196, 0.330833333333331, 0.210946366560833, 0.491249999999996, 0.209830418070944, 0.608749999999999, 0.959417754440802, 2.05708333333334, 3.23495825186421, 4.90375 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1260, '2023-04-30 00:00:00', 0.181498892079505, 0.358750000000001, 0.168778647595181, 0.460833333333335, 0.207615429741307, 0.597916666666668, 0.941255713842196, 2.04666666666667, 3.2358306227058, 4.90458333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1275, '2023-04-30 00:00:00', 0.12411352330293, 0.320416666666669, 0.134390060665947, 0.434583333333335, 0.550746364464633, 0.737916666666666, 0.961280754205449, 2.02541666666667, 3.25006084112505, 4.89791666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1290, '2023-04-30 00:00:00', 0.105675878535964, 0.3325, 0.183111196121174, 0.489166666666666, 0.570475901001248, 0.780833333333332, 0.940734276116731, 2.05375, 3.2500198159931, 4.92125 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1305, '2023-04-30 00:00:00', 0.130039013098134, 0.336666666666665, 0.552484343013773, 0.589583333333333, 0.546220047764368, 0.774583333333333, 0.918508557942981, 2.05333333333334, 3.23927695904369, 4.9375 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1320, '2023-04-30 00:00:00', 0.108643954143473, 0.355789473684209, 0.176537523138919, 0.471052631578945, 0.320353423252311, 0.774736842105262, 1.09487829439265, 2.23157894736842, 3.34789695705942, 5.36842105263158 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1335, '2023-04-30 00:00:00', 0.149200598904463, 0.330526315789473, 0.190976254609211, 0.479473684210524, 1.00760354916043, 1.70736842105264, 1.1279212883657, 2.2521052631579, 3.34843893103246, 5.36105263157895 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1350, '2023-04-30 00:00:00', 0.144659309377148, 0.355263157894734, 0.261163612987219, 0.632105263157894, 0.985840396083311, 1.80421052631579, 1.17693799366647, 2.28052631578947, 3.34539624310661, 5.36263157894737 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1365, '2023-04-30 00:00:00', 0.176496110985435, 0.507894736842109, 0.937274885253151, 1.6421052631579, 0.993872160463822, 1.86473684210527, 1.18852776392225, 2.28263157894737, 3.34513472311497, 5.36473684210527 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1320, '2023-04-30 00:00:00', 0.10267951599006, 0.323913043478262, 0.152810301165507, 0.433478260869565, 0.257768624994626, 0.730869565217392, 3.11765690623267, 2.77869565217391, 2.98961602092462, 4.88695652173913 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1335, '2023-04-30 00:00:00', 0.116908463905768, 0.293043478260867, 0.211787050927839, 0.48086956521739, 3.08120106452013, 2.25, 3.09926154662483, 2.74695652173913, 2.96743804274822, 4.87608695652174 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1350, '2023-04-30 00:00:00', 0.154790435917027, 0.373478260869565, 0.20514527774296, 0.581304347826087, 3.14168417359866, 2.32391304347826, 3.08700841408257, 2.74130434782609, 2.95631928509337, 4.87347826086957 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1365, '2023-04-30 00:00:00', 0.142455873481327, 0.458695652173914, 3.08682813015858, 2.17478260869565, 3.13961264950516, 2.39304347826087, 3.14122430249371, 2.71913043478261, 2.95603228626995, 4.87217391304348 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1320, '2023-04-30 00:00:00', 0.378208801104894, 0.456521739130433, 0.408721132836164, 0.554347826086958, 0.525589072867565, 0.844347826086958, 1.11382881292681, 2.51652173913044, 1.53895734941556, 4.49478260869565 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1335, '2023-04-30 00:00:00', 0.32747989709897, 0.376086956521742, 0.405103314787936, 0.572173913043479, 0.935481740578895, 1.93521739130435, 1.10271977813537, 2.53, 1.53722814043044, 4.48391304347826 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1350, '2023-04-30 00:00:00', 0.186543343414692, 0.38565217391304, 0.329167713178571, 0.621739130434782, 0.985743434458011, 1.97913043478261, 1.06993812388045, 2.50695652173913, 1.50659892347152, 4.44304347826087 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1365, '2023-04-30 00:00:00', 0.281811615376771, 0.492173913043478, 0.87836580205142, 1.84913043478261, 1.04369971299656, 2.12, 1.05234069987652, 2.51869565217391, 1.50282461324727, 4.46 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1320, '2023-04-30 00:00:00', 0.148571844821263, 0.324545454545454, 0.200831604418562, 0.480000000000001, 0.260615737764554, 0.664090909090907, 0.596243652801851, 1.93727272727273, 3.37074554677827, 4.90727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1335, '2023-04-30 00:00:00', 0.141385384109628, 0.357727272727272, 0.197181986831294, 0.469545454545453, 0.574304209174307, 1.59409090909091, 0.596278502000577, 1.93363636363636, 3.40651896054776, 4.93 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1350, '2023-04-30 00:00:00', 0.119773415229221, 0.341363636363635, 0.217719387289539, 0.567272727272724, 0.553135102446449, 1.62818181818182, 0.617689452508508, 1.94454545454545, 3.40651896054776, 4.93 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1365, '2023-04-30 00:00:00', 0.172232602210119, 0.445454545454542, 0.530549825071234, 1.51454545454545, 0.515522682685871, 1.68727272727273, 0.598966642611288, 1.90090909090909, 3.41076675692283, 4.90818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1320, '2023-04-30 00:00:00', 0.15406090323233, 0.376190476190476, 0.19282486502375, 0.492857142857143, 0.376115483785042, 0.79857142857143, 0.885863044343387, 2.08333333333334, 3.38087647131416, 5.01428571428572 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1335, '2023-04-30 00:00:00', 0.165064201073976, 0.345238095238094, 0.246008129946961, 0.510000000000001, 0.835940303177323, 1.6352380952381, 0.862791427645784, 2.06904761904762, 3.38374517784236, 5.01714285714286 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1350, '2023-04-30 00:00:00', 0.14974263635604, 0.361428571428573, 0.270640334163611, 0.634761904761907, 0.789567090547849, 1.62190476190476, 0.858904063604425, 2.03190476190476, 3.39584963770553, 5.01619047619048 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1365, '2023-04-30 00:00:00', 0.246683261651348, 0.520000000000002, 0.727094252921575, 1.5315, 0.662448409113377, 1.682, 0.755665618058537, 2.061, 3.32358917437159, 5.2365 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2023-04-30 16:01:12 Duration: 632ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
20 9s50ms 14 62ms 8s119ms 646ms select distinct patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzos, dftt.timezone as tz, longname, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as relevant from symbols s inner join brokersymbollist b on s.symbolid = b.symbolid inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join autochartist_results a on a.symbolid = s.symbolid inner join patterns p on a.pattern = p.patternname left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and (((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Apr 30 16 14 9s50ms 646ms [ User: postgres - Total duration: 9s50ms - Times executed: 14 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 9s50ms - Times executed: 14 ]
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((s.symbol ilike '%uk100%' AND timegranularity = 240)) OR ((s.symbol ilike '%us30%' AND timegranularity = 240)) OR ((s.symbol ilike '%us500%' AND timegranularity = 240)) OR ((s.symbol ilike '%de30%' AND timegranularity = 240))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.7 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:05:48 Duration: 8s119ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((s.symbol ilike '%uk100%' AND timegranularity = 240)) OR ((s.symbol ilike '%us30%' AND timegranularity = 240)) OR ((s.symbol ilike '%us500%' AND timegranularity = 240)) OR ((s.symbol ilike '%de30%' AND timegranularity = 240))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.7 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601833475450195301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:09:48 Duration: 131ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((s.symbol ilike '%uk100%' AND timegranularity = 240)) OR ((s.symbol ilike '%us30%' AND timegranularity = 240)) OR ((s.symbol ilike '%us500%' AND timegranularity = 240)) OR ((s.symbol ilike '%de30%' AND timegranularity = 240))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.7 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601833475450195301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:25:48 Duration: 93ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
Most frequent queries (N)
Rank Times executed Total duration Min duration Max duration Avg duration Query 1 60,469 5s912ms 0ms 9ms 0ms insert into t15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Apr 30 16 60,469 5s912ms 0ms [ User: postgres - Total duration: 5s912ms - Times executed: 60469 ]
[ Application: [unknown] - Total duration: 5s912ms - Times executed: 60469 ]
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INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-14 14:15:00', '31.965', '31.965', '31.655', '31.7', '221', '601804155361451300', '0', '2023-04-30 16:35:01.639', '2023-04-30 16:35:01.457') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '31.965', high = '31.965', low = '31.655', close = '31.7', volume = '221', bsf = '0', sastdatetimewritten = '2023-04-30 16:35:01.639', sastdatetimereceived = '2023-04-30 16:35:01.457';
Date: 2023-04-30 16:35:01 Duration: 9ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-30 16:45:00', '153', '153.09', '152.75', '152.99', '86', '515840247953482300', '0', '2023-04-30 16:00:26.362', '2023-04-30 16:00:26.332') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '153', high = '153.09', low = '152.75', close = '152.99', volume = '86', bsf = '0', sastdatetimewritten = '2023-04-30 16:00:26.362', sastdatetimereceived = '2023-04-30 16:00:26.332';
Date: 2023-04-30 16:00:26 Duration: 8ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-03 14:15:00', '11.095', '11.1', '11.09', '11.1', '36', '601744523361280300', '0', '2023-04-30 16:36:08.831', '2023-04-30 16:36:08.668') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '11.095', high = '11.1', low = '11.09', close = '11.1', volume = '36', bsf = '0', sastdatetimewritten = '2023-04-30 16:36:08.831', sastdatetimereceived = '2023-04-30 16:36:08.668';
Date: 2023-04-30 16:36:08 Duration: 8ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
2 29,534 1s539ms 0ms 7ms 0ms insert into t30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Apr 30 16 29,534 1s539ms 0ms [ User: postgres - Total duration: 1s539ms - Times executed: 29534 ]
[ Application: [unknown] - Total duration: 1s539ms - Times executed: 29534 ]
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INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-30 16:30:00', '48.91', '48.94', '48.78', '48.85', '243', '515840248037230300', '0', '2023-04-30 16:06:01.455', '2023-04-30 16:06:01.423') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '48.91', high = '48.94', low = '48.78', close = '48.85', volume = '243', bsf = '0', sastdatetimewritten = '2023-04-30 16:06:01.455', sastdatetimereceived = '2023-04-30 16:06:01.423';
Date: 2023-04-30 16:06:01 Duration: 7ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-30 16:30:00', '1727', '1728.18', '1726.1', '1727.37', '145', '515840247911613300', '0', '2023-04-30 16:06:03.536', '2023-04-30 16:06:03.489') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '1727', high = '1728.18', low = '1726.1', close = '1727.37', volume = '145', bsf = '0', sastdatetimewritten = '2023-04-30 16:06:03.536', sastdatetimereceived = '2023-04-30 16:06:03.489';
Date: 2023-04-30 16:06:03 Duration: 7ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-30 16:30:00', '29280.25', '29303.78', '29263.25', '29300.75', '688', '515840247966491300', '0', '2023-04-30 16:05:59.42', '2023-04-30 16:05:59.379') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '29280.25', high = '29303.78', low = '29263.25', close = '29300.75', volume = '688', bsf = '0', sastdatetimewritten = '2023-04-30 16:05:59.42', sastdatetimereceived = '2023-04-30 16:05:59.379';
Date: 2023-04-30 16:05:59 Duration: 7ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
3 16,267 106ms 0ms 11ms 0ms select ?;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Apr 30 16 16,267 106ms 0ms [ User: postgres - Total duration: 106ms - Times executed: 16267 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 96ms - Times executed: 16035 ]
[ Application: [unknown] - Total duration: 10ms - Times executed: 232 ]
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select 1;
Date: 2023-04-30 16:53:41 Duration: 11ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
-
SELECT 1;
Date: 2023-04-30 16:11:42 Duration: 0ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
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SELECT 1;
Date: 2023-04-30 16:17:49 Duration: 0ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
4 14,792 852ms 0ms 13ms 0ms insert into t60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Apr 30 16 14,792 852ms 0ms [ User: postgres - Total duration: 852ms - Times executed: 14792 ]
[ Application: [unknown] - Total duration: 852ms - Times executed: 14792 ]
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INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-28 20:00:00', '7361.1', '7366.1', '7357.1', '7362.1', '276', '515840248015562300', '0', '2023-04-30 16:05:59.445', '2023-04-30 16:05:59.402') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '7361.1', high = '7366.1', low = '7357.1', close = '7362.1', volume = '276', bsf = '0', sastdatetimewritten = '2023-04-30 16:05:59.445', sastdatetimereceived = '2023-04-30 16:05:59.402';
Date: 2023-04-30 16:05:59 Duration: 13ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-30 16:00:00', '1722.92', '1729.63', '1722.47', '1727.37', '373', '515840247911908300', '0', '2023-04-30 16:06:03.619', '2023-04-30 16:06:03.542') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '1722.92', high = '1729.63', low = '1722.47', close = '1727.37', volume = '373', bsf = '0', sastdatetimewritten = '2023-04-30 16:06:03.619', sastdatetimereceived = '2023-04-30 16:06:03.542';
Date: 2023-04-30 16:06:03 Duration: 8ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-30 16:00:00', '23248.38', '23309.59', '23248.38', '23296.08', '271', '515840247892731300', '0', '2023-04-30 16:15:59.187', '2023-04-30 16:15:59.149') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '23248.38', high = '23309.59', low = '23248.38', close = '23296.08', volume = '271', bsf = '0', sastdatetimewritten = '2023-04-30 16:15:59.187', sastdatetimereceived = '2023-04-30 16:15:59.149';
Date: 2023-04-30 16:15:59 Duration: 8ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
5 4,671 40ms 0ms 0ms 0ms set extra_float_digits = ?;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Apr 30 16 4,671 40ms 0ms [ User: postgres - Total duration: 40ms - Times executed: 4671 ]
[ Application: [unknown] - Total duration: 40ms - Times executed: 4671 ]
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SET extra_float_digits = 3;
Date: 2023-04-30 16:19:43 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: [unknown] Bind query: yes
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SET extra_float_digits = 3;
Date: 2023-04-30 16:16:56 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.0.239 Application: [unknown] Bind query: yes
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SET extra_float_digits = 3;
Date: 2023-04-30 16:16:56 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.0.239 Application: [unknown] Bind query: yes
6 4,659 48ms 0ms 3ms 0ms set application_name = ?;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Apr 30 16 4,659 48ms 0ms [ User: postgres - Total duration: 48ms - Times executed: 4659 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 48ms - Times executed: 4659 ]
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SET application_name = 'PostgreSQL JDBC Driver';
Date: 2023-04-30 16:51:44 Duration: 3ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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SET application_name = 'PostgreSQL JDBC Driver';
Date: 2023-04-30 16:40:04 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
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SET application_name = 'PostgreSQL JDBC Driver';
Date: 2023-04-30 16:43:43 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
7 3,750 308ms 0ms 13ms 0ms insert into t240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Apr 30 16 3,750 308ms 0ms [ User: postgres - Total duration: 308ms - Times executed: 3750 ]
[ Application: [unknown] - Total duration: 308ms - Times executed: 3750 ]
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INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-30 12:00:00', '90.16', '90.19', '89.43', '89.52', '3358', '515840247891765300', '0', '2023-04-30 16:05:14.861', '2023-04-30 16:05:14.832') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '90.16', high = '90.19', low = '89.43', close = '89.52', volume = '3358', bsf = '0', sastdatetimewritten = '2023-04-30 16:05:14.861', sastdatetimereceived = '2023-04-30 16:05:14.832';
Date: 2023-04-30 16:05:14 Duration: 13ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-30 12:00:00', '1725.83', '1733.99', '1721.11', '1722.83', '1621', '515840247912178300', '0', '2023-04-30 16:06:03.603', '2023-04-30 16:06:03.54') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '1725.83', high = '1733.99', low = '1721.11', close = '1722.83', volume = '1621', bsf = '0', sastdatetimewritten = '2023-04-30 16:06:03.603', sastdatetimereceived = '2023-04-30 16:06:03.54';
Date: 2023-04-30 16:06:03 Duration: 8ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-30 12:00:00', '23271.44', '23303.23', '23198.31', '23248.38', '1174', '515840247892928300', '0', '2023-04-30 16:05:59.582', '2023-04-30 16:05:59.536') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '23271.44', high = '23303.23', low = '23198.31', close = '23248.38', volume = '1174', bsf = '0', sastdatetimewritten = '2023-04-30 16:05:59.582', sastdatetimereceived = '2023-04-30 16:05:59.536';
Date: 2023-04-30 16:05:59 Duration: 7ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
8 2,480 214ms 0ms 2ms 0ms select t.pricedatetime, t.open, t.high, t.low, t.close, t.volume, t.symbolid, dss.downloadersymbol as symbol, dss.classname as datafeed, t.bsf, t.sastdatetimewritten, t.sastdatetimereceived from t15 t inner join downloadersymbolsettings dss on t.symbolid = dss.symbolid where dss.classname = ? and dss.downloadersymbol in (...) and dss.downloadfrequency = ? and t.pricedatetime between ?::timestamp and ?::timestamp order by t.pricedatetime;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Apr 30 16 2,480 214ms 0ms [ User: postgres - Total duration: 214ms - Times executed: 2480 ]
[ Application: [unknown] - Total duration: 214ms - Times executed: 2480 ]
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SELECT t.pricedatetime, t.open, t.high, t.low, t.close, t.volume, t.symbolid, dss.downloadersymbol AS symbol, dss.classname as datafeed, t.bsf, t.sastdatetimewritten, t.sastdatetimereceived FROM T15 t INNER JOIN downloadersymbolsettings dss ON t.symbolid = dss.symbolid WHERE dss.classname = 'GKINVESTMT5' AND dss.downloadersymbol IN ('CLR') AND dss.downloadfrequency = '15' AND t.pricedatetime BETWEEN '2023-04-28 00:00:00'::timestamp AND '2023-04-28 23:45:00'::timestamp ORDER BY t.pricedatetime;
Date: 2023-04-30 16:05:32 Duration: 2ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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SELECT t.pricedatetime, t.open, t.high, t.low, t.close, t.volume, t.symbolid, dss.downloadersymbol AS symbol, dss.classname as datafeed, t.bsf, t.sastdatetimewritten, t.sastdatetimereceived FROM T15 t INNER JOIN downloadersymbolsettings dss ON t.symbolid = dss.symbolid WHERE dss.classname = 'XM' AND dss.downloadersymbol IN ('AUS200Cash') AND dss.downloadfrequency = '15' AND t.pricedatetime BETWEEN '2023-04-28 00:00:00'::timestamp AND '2023-04-28 23:45:00'::timestamp ORDER BY t.pricedatetime;
Date: 2023-04-30 16:01:05 Duration: 1ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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SELECT t.pricedatetime, t.open, t.high, t.low, t.close, t.volume, t.symbolid, dss.downloadersymbol AS symbol, dss.classname as datafeed, t.bsf, t.sastdatetimewritten, t.sastdatetimereceived FROM T15 t INNER JOIN downloadersymbolsettings dss ON t.symbolid = dss.symbolid WHERE dss.classname = 'XM' AND dss.downloadersymbol IN ('EURTRY') AND dss.downloadfrequency = '15' AND t.pricedatetime BETWEEN '2023-04-28 00:00:00'::timestamp AND '2023-04-28 23:45:00'::timestamp ORDER BY t.pricedatetime;
Date: 2023-04-30 16:01:27 Duration: 1ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
9 2,116 383ms 0ms 0ms 0ms select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Apr 30 16 2,116 383ms 0ms [ User: postgres - Total duration: 383ms - Times executed: 2116 ]
[ Application: [unknown] - Total duration: 383ms - Times executed: 2116 ]
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SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GKINVESTMT5 - 1';
Date: 2023-04-30 16:30:51 Duration: 0ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
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SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 1';
Date: 2023-04-30 16:19:28 Duration: 0ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
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SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ADSSECURITIES - 2';
Date: 2023-04-30 16:17:11 Duration: 0ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
10 2,097 1m8s 0ms 255ms 32ms select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as relevant, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid left outer join relevance_keylevels_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.qtytp >= ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Apr 30 16 2,097 1m8s 32ms [ User: postgres - Total duration: 1m8s - Times executed: 2097 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m8s - Times executed: 2097 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:35:45 Duration: 255ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:45 Duration: 232ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:20:46 Duration: 228ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
11 1,756 1s455ms 0ms 17ms 0ms insert into autochartist_results (resultid, symbolid, bandwidth, pattern, qtytp, gmttimefound, direction, initialtrend, breakout, volumeincrease, noise, symmetry, predictionpricefrom, predictionpriceto, predictiontimefrom, predictiontimeto, patternstarttime, patternendtime, patternstartprice, patternendprice, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, supportgradient, resgradient, riskreward, patternquality, trendchange, maxmovementafterbreakout, latestbaratbreakouttime, latestbaratbreakoutprice, patternlengthbars, temporarypattern, relevancestartdistance, simulation, writtendatetime) values (?, ?, ?.?, ?, ?, ?::timestamp without time zone, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?.?, ?.?, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?, ?.?, ?::timestamp without time zone, ?.?, ?, ?, ?.?, ?, current_timestamp::timestamp without time zone) on conflict do nothing;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Apr 30 16 1,756 1s455ms 0ms [ User: postgres - Total duration: 1s455ms - Times executed: 1756 ]
[ Application: [unknown] - Total duration: 1s455ms - Times executed: 1756 ]
-
INSERT INTO Autochartist_Results (ResultID, SymbolID, Bandwidth, Pattern, QtyTP, GMTTimeFound, Direction, InitialTrend, Breakout, VolumeIncrease, Noise, Symmetry, PredictionPriceFrom, PredictionPriceTo, PredictionTimeFrom, PredictionTimeTo, PatternStartTime, PatternEndTime, PatternStartPrice, PatternEndPrice, Resx0, Resx1, Supportx0, Supportx1, Resy0, Resy1, Supporty0, Supporty1, SupportGradient, ResGradient, RiskReward, PatternQuality, TrendChange, MaxMovementAfterBreakout, LatestBarAtBreakoutTime, LatestBarAtBreakoutPrice, PatternLengthBars, TemporaryPattern, relevancestartdistance, simulation, writtendatetime) VALUES ('515840248619247300-1|45045.75|45046.5417|45045.1667|45046.2083|7.212|7.263|6.992|7.11', 515840248619247300, 2.000000000000000000000000000000, 'Rising Wedge', 4, '2023-04-30 14:02:36'::timestamp without time zone, - 1, 0.242900653280051864700000000000, - 1.000000000000000000000000000000, 0.718477014029824445600000000000, 0.252629926868747634000000000000, 0.738993739148454564800000000000, 7.052824727030741592000000000000, 7.141593636262808964000000000000, '2023-04-30 16:00:00'::timestamp without time zone, '2023-05-01 10:00:00'::timestamp without time zone, '2023-04-28 19:00:00'::timestamp without time zone, '2023-04-30 16:00:00'::timestamp without time zone, 7.046000000000000263000000000000, 7.184000000000000164000000000000, '2023-04-29 18:00:00'::timestamp without time zone, '2023-04-30 13:00:00'::timestamp without time zone, '2023-04-29 04:00:00'::timestamp without time zone, '2023-04-30 05:00:00'::timestamp without time zone, 7.211999999999999744000000000000, 7.262999999999999900000000000000, 6.991999999999999993000000000000, 7.110000000000000320000000000000, 0.005619047619047634612000000000, 0.002684210526315797610000000000, 2.360837419504050683000000000000, 0.576421488519919589200000000000, 'Continuation', 0.000000000000000000000000000000, '2023-04-30 16:00:00'::timestamp without time zone, 7.205000000000000071000000000000, 32, 0, 0.000000000000000000000000000000, 0, CURRENT_TIMESTAMP::timestamp without time zone) ON CONFLICT DO NOTHING;
Date: 2023-04-30 16:06:35 Duration: 17ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
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INSERT INTO Autochartist_Results (ResultID, SymbolID, Bandwidth, Pattern, QtyTP, GMTTimeFound, Direction, InitialTrend, Breakout, VolumeIncrease, Noise, Symmetry, PredictionPriceFrom, PredictionPriceTo, PredictionTimeFrom, PredictionTimeTo, PatternStartTime, PatternEndTime, PatternStartPrice, PatternEndPrice, Resx0, Resx1, Supportx0, Supportx1, Resy0, Resy1, Supporty0, Supporty1, SupportGradient, ResGradient, RiskReward, PatternQuality, TrendChange, MaxMovementAfterBreakout, LatestBarAtBreakoutTime, LatestBarAtBreakoutPrice, PatternLengthBars, TemporaryPattern, relevancestartdistance, simulation, writtendatetime) VALUES ('515840217889015300-1|45045.7083|45046.4583|45045.4583|45045.8333|91.595|91.03|89.175|89.28', 515840217889015300, 3.000000000000000000000000000000, 'Triangle', 4, '2023-04-30 13:56:35'::timestamp without time zone, - 1, 0.194824611845889839000000000000, - 1.000000000000000000000000000000, 0.168302595759365070100000000000, 0.444066411200125466000000000000, 0.529688160355769710400000000000, 89.140527922550504060000000000000, 89.863553301062708560000000000000, '2023-04-30 16:00:00'::timestamp without time zone, '2023-05-01 06:30:00'::timestamp without time zone, '2023-04-28 19:00:00'::timestamp without time zone, '2023-04-30 16:00:00'::timestamp without time zone, 90.295000000000001700000000000000, 90.135000000000005120000000000000, '2023-04-29 17:00:00'::timestamp without time zone, '2023-04-30 11:00:00'::timestamp without time zone, '2023-04-29 11:00:00'::timestamp without time zone, '2023-04-29 20:00:00'::timestamp without time zone, 91.594999999999998860000000000000, 91.030000000000001140000000000000, 89.174999999999997160000000000000, 89.280000000000001140000000000000, 0.011666666666667109550000000000, - 0.031388888888888764880000000000, 1.744638801583017429000000000000, 0.426815453667178046400000000000, 'Continuation', 0.000000000000000000000000000000, '2023-04-30 16:00:00'::timestamp without time zone, 90.379999999999995460000000000000, 29, 0, 0.000000000000000000000000000000, 0, CURRENT_TIMESTAMP::timestamp without time zone) ON CONFLICT DO NOTHING;
Date: 2023-04-30 16:00:34 Duration: 15ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
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INSERT INTO Autochartist_Results (ResultID, SymbolID, Bandwidth, Pattern, QtyTP, GMTTimeFound, Direction, InitialTrend, Breakout, VolumeIncrease, Noise, Symmetry, PredictionPriceFrom, PredictionPriceTo, PredictionTimeFrom, PredictionTimeTo, PatternStartTime, PatternEndTime, PatternStartPrice, PatternEndPrice, Resx0, Resx1, Supportx0, Supportx1, Resy0, Resy1, Supporty0, Supporty1, SupportGradient, ResGradient, RiskReward, PatternQuality, TrendChange, MaxMovementAfterBreakout, LatestBarAtBreakoutTime, LatestBarAtBreakoutPrice, PatternLengthBars, TemporaryPattern, relevancestartdistance, simulation, writtendatetime) VALUES ('6018041553644663001|45044.3958|45044.6875|45043.3958|45044.7292|30.335|28.33|28.825|26.805', 601804155364466300, 2.000000000000000000000000000000, 'Falling Wedge', 5, '2023-04-30 14:31:25'::timestamp without time zone, 1, 0.074648096587208417900000000000, 1.000000000000000000000000000000, 0.960533933740752687800000000000, 1.000000000000000000000000000000, 0.805188554540841150400000000000, 32.054819167900419080000000000000, 32.551566002961003220000000000000, '2023-04-14 14:00:00'::timestamp without time zone, '2023-04-08 04:15:00'::timestamp without time zone, '2023-04-26 16:00:00'::timestamp without time zone, '2023-04-14 14:00:00'::timestamp without time zone, 29.789999999999999150000000000000, 27.900357142857139080000000000000, '2023-04-28 09:30:00'::timestamp without time zone, '2023-04-28 16:30:00'::timestamp without time zone, '2023-04-27 09:30:00'::timestamp without time zone, '2023-04-28 17:30:00'::timestamp without time zone, 30.335000000000000850000000000000, 28.329999999999998300000000000000, 28.824999999999999290000000000000, 26.804999999999999720000000000000, - 0.063124999999999986680000000000, - 0.143214285714285904900000000000, 1.886647084116528816000000000000, 0.469959162782012385200000000000, 'Reversal', 3.799642857142860208000000000000, '2023-04-14 14:00:00'::timestamp without time zone, 31.699999999999999290000000000000, 33, 0, 0.698749999999999982200000000000, 0, CURRENT_TIMESTAMP::timestamp without time zone) ON CONFLICT DO NOTHING;
Date: 2023-04-30 16:35:24 Duration: 12ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
12 1,740 131ms 0ms 0ms 0ms select attnotnull from pg_attribute where attrelid = ? and attnum = ?;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Apr 30 16 1,740 131ms 0ms [ User: pgperfstats - Total duration: 131ms - Times executed: 1740 ]
[ Application: [unknown] - Total duration: 131ms - Times executed: 1740 ]
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select attnotnull from pg_attribute where attrelid = 5883632 and attnum = '1';
Date: 2023-04-30 16:02:56 Duration: 0ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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select attnotnull from pg_attribute where attrelid = 5883632 and attnum = '1';
Date: 2023-04-30 16:03:02 Duration: 0ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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select attnotnull from pg_attribute where attrelid = 5883632 and attnum = '1';
Date: 2023-04-30 16:07:18 Duration: 0ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
13 1,039 2s516ms 0ms 45ms 2ms select distinct a.resultuid as ruid, s.symbolid as sid, symbol as sym, longname, shortname, exchange as e, timegranularity as tg, p.patternid as pid, direction as d, patternstarttime as pst, patternendtime as pet, patternstartprice as psp, patternendprice as pep, pricex as px, timex as tx, pricea as pa, timea as ta, priceb as pb, timeb as tb, pricec as pc, timec as tc, priced as pd, timed as td, averagequality as aq, timequality as tq, errormargin as rq, (? - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, patternlengthbars as l, temporarypattern as tp, bandwidth as bw, qtytp as qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzos, dftt.timezone as tz, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ?) then ? else ? end as relevant from symbols s inner join brokersymbollist b on s.symbolid = b.symbolid inner join symbolgroup sg on s.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join fibonacci_results a on a.symbolid = s.symbolid inner join fibonaccipatterns p on a.pattern = p.patternname left outer join relevance_fibonacci_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and patternlengthbars >= ? and averagequality >= ?.? and (timequality >= ?.? or timequality = ?) and errormargin >= ?.? and ? - noise >= ?.? and s.nonliquid = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and patternendprice > ? and a.resultuid > ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, averagequality desc limit ?;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Apr 30 16 1,039 2s516ms 2ms [ User: postgres - Total duration: 2s516ms - Times executed: 1039 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2s516ms - Times executed: 1039 ]
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 667 AND sg.groupid = 500996399199454208 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 601885610035152302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2023-04-30 16:34:33 Duration: 45ms Database: acaweb_fx User: postgres Remote: 192.168.0.239 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 601885785168452302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2023-04-30 16:05:53 Duration: 29ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 49 AND sg.groupid = 515852059825619308 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 601885435741027302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2023-04-30 16:32:04 Duration: 23ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
14 1,038 2s426ms 0ms 21ms 2ms select distinct a.resultuid as ruid, s.symbolid as sid, symbol as sym, longname, shortname, exchange as e, timegranularity as tg, p.patternid as pid, direction as d, patternstarttime as pst, patternendtime as pet, patternstartprice as psp, patternendprice as pep, pricex as px, timex as tx, pricea as pa, timea as ta, priceb as pb, timeb as tb, pricec as pc, timec as tc, priced as pd, timed as td, averagequality as aq, timequality as tq, errormargin as rq, (? - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, patternlengthbars as l, temporarypattern as tp, bandwidth as bw, qtytp as qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzos, dftt.timezone as tz, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ?) then ? else ? end as relevant from symbols s inner join brokersymbollist b on s.symbolid = b.symbolid inner join symbolgroup sg on s.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join fibonacci_results a on a.symbolid = s.symbolid inner join fibonaccipatterns p on a.pattern = p.patternname left outer join relevance_fibonacci_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and patternlengthbars >= ? and averagequality >= ?.? and (timequality >= ?.? or timequality = ?) and errormargin >= ?.? and ? - noise >= ?.? and s.nonliquid = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and patternendprice = ? and a.resultuid > ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, averagequality desc limit ?;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Apr 30 16 1,038 2s426ms 2ms [ User: postgres - Total duration: 2s426ms - Times executed: 1038 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2s426ms - Times executed: 1038 ]
-
/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 49 AND sg.groupid = 515852059825210308 AND patternlengthbars >= 20 AND averagequality >= 0.3 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice = - 1 AND a.resultuid > 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2023-04-30 16:44:27 Duration: 21ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
-
/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 49 AND sg.groupid = 515852059825619308 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice = - 1 AND a.resultuid > 601887264155233302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2023-04-30 16:32:04 Duration: 18ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 49 AND sg.groupid = 515852059825210308 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice = - 1 AND a.resultuid > 601887264155233302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2023-04-30 16:52:05 Duration: 15ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
15 975 1s208ms 0ms 33ms 1ms select distinct patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzos, dftt.timezone as tz, longname, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as relevant from symbols s inner join brokersymbollist b on s.symbolid = b.symbolid inner join symbolgroup sg on s.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join autochartist_results a on a.symbolid = s.symbolid inner join patterns p on a.pattern = p.patternname left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Apr 30 16 975 1s208ms 1ms [ User: postgres - Total duration: 1s208ms - Times executed: 975 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s208ms - Times executed: 975 ]
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 667 AND sg.groupid = 500996399199454208 AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:06:02 Duration: 33ms Database: acaweb_fx User: postgres Remote: 192.168.0.239 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 667 AND sg.groupid = 500996399199651208 AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:06:02 Duration: 27ms Database: acaweb_fx User: postgres Remote: 192.168.0.239 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 667 AND sg.groupid = 500996399199552208 AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:06:08 Duration: 27ms Database: acaweb_fx User: postgres Remote: 192.168.0.239 Application: PostgreSQL JDBC Driver Bind query: yes
16 975 882ms 0ms 86ms 0ms select distinct patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzos, dftt.timezone as tz, longname, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as relevant from symbols s inner join brokersymbollist b on s.symbolid = b.symbolid inner join symbolgroup sg on s.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join autochartist_results a on a.symbolid = s.symbolid inner join patterns p on a.pattern = p.patternname left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and breakout = ? and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Apr 30 16 975 882ms 0ms [ User: postgres - Total duration: 882ms - Times executed: 975 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 882ms - Times executed: 975 ]
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 667 AND sg.groupid = 500996399199454208 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:06:02 Duration: 86ms Database: acaweb_fx User: postgres Remote: 192.168.0.239 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 667 AND sg.groupid = 500996399199552208 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:06:11 Duration: 61ms Database: acaweb_fx User: postgres Remote: 192.168.0.239 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 667 AND sg.groupid = 500996399201641208 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:06:17 Duration: 31ms Database: acaweb_fx User: postgres Remote: 192.168.0.239 Application: PostgreSQL JDBC Driver Bind query: yes
17 859 395ms 0ms 5ms 0ms insert into t1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Apr 30 16 859 395ms 0ms [ User: postgres - Total duration: 395ms - Times executed: 859 ]
[ Application: [unknown] - Total duration: 395ms - Times executed: 859 ]
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INSERT INTO T1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-28 00:00:00', '0.66294', '0.66424', '0.6574', '0.661575', '63665', '515840243455845300', '0', '2023-04-30 16:01:01.421', '2023-04-30 16:01:01.42') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '0.66294', high = '0.66424', low = '0.6574', close = '0.661575', volume = '63665', bsf = '0', sastdatetimewritten = '2023-04-30 16:01:01.421', sastdatetimereceived = '2023-04-30 16:01:01.42';
Date: 2023-04-30 16:01:01 Duration: 5ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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INSERT INTO T1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-28 00:00:00', '1.88515', '1.903575', '1.88193', '1.89945', '82328', '515840243468682300', '0', '2023-04-30 16:01:07.586', '2023-04-30 16:01:07.585') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '1.88515', high = '1.903575', low = '1.88193', close = '1.89945', volume = '82328', bsf = '0', sastdatetimewritten = '2023-04-30 16:01:07.586', sastdatetimereceived = '2023-04-30 16:01:07.585';
Date: 2023-04-30 16:01:07 Duration: 4ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
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INSERT INTO T1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2023-04-28 00:00:00', '1.117215', '1.12461', '1.11469', '1.1239', '83599', '515840218892445300', '0', '2023-04-30 16:07:24.459', '2023-04-30 16:07:24.458') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '1.117215', high = '1.12461', low = '1.11469', close = '1.1239', volume = '83599', bsf = '0', sastdatetimewritten = '2023-04-30 16:07:24.459', sastdatetimereceived = '2023-04-30 16:07:24.458';
Date: 2023-04-30 16:07:24 Duration: 3ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
18 846 20s804ms 3ms 680ms 24ms select distinct on (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname from brokergroups bg inner join symbolgroup sg on bg.groupid = sg.groupid inner join symbols s on sg.symbolid = s.symbolid inner join brokersymbollist bsl on s.symbolid = bsl.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join groups g on bg.groupid = g.groupid left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where bsl.brokerid = ? and bg.brokerid = ? and dss.enabled = ? and s.nonliquid = ? and s.deleted = ? order by basegroupname, symbol;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Apr 30 16 846 20s804ms 24ms [ User: postgres - Total duration: 20s804ms - Times executed: 846 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 20s804ms - Times executed: 846 ]
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '667' AND bg.brokerid = '667' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2023-04-30 16:01:02 Duration: 680ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '667' AND bg.brokerid = '667' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2023-04-30 16:15:58 Duration: 672ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '667' AND bg.brokerid = '667' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2023-04-30 16:01:07 Duration: 668ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
19 808 1s802ms 2ms 17ms 2ms insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing; insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Apr 30 16 808 1s802ms 2ms [ User: postgres - Total duration: 1s802ms - Times executed: 808 ]
[ Application: [unknown] - Total duration: 1s802ms - Times executed: 808 ]
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INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 17:45:00'::timestamp without time zone, 0.90259, 0.903148302, 0.9023, 0.902980821, 704, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 18:00:00'::timestamp without time zone, 0.903109818, 0.903427514, 0.9022, 0.9032, 1402, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 18:15:00'::timestamp without time zone, 0.903235111, 0.903719971, 0.9025, 0.903471766, 1602, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 18:30:00'::timestamp without time zone, 0.90343, 0.903744344, 0.9027, 0.90337, 1324, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 18:45:00'::timestamp without time zone, 0.90341, 0.904103497, 0.9029, 0.9034, 1240, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 19:00:00'::timestamp without time zone, 0.903733592, 0.903748781, 0.9027, 0.90329, 1622, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 19:15:00'::timestamp without time zone, 0.903564511, 0.903594479, 0.9025, 0.903174256, 1538, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 19:30:00'::timestamp without time zone, 0.90317094, 0.903648425, 0.9026, 0.90334, 1502, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 19:45:00'::timestamp without time zone, 0.903370235, 0.903977488, 0.9028, 0.903486135, 1632, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 20:00:00'::timestamp without time zone, 0.90372, 0.904091129, 0.903, 0.903858278, 2617, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 20:15:00'::timestamp without time zone, 0.903851641, 0.904205887, 0.903, 0.903562071, 2290, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 20:30:00'::timestamp without time zone, 0.903580052, 0.903852661, 0.9029, 0.90347, 2664, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 20:45:00'::timestamp without time zone, 0.90346, 0.90384743, 0.9029, 0.903652138, 2878, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 21:00:00'::timestamp without time zone, 0.90361, 0.903871413, 0.9027, 0.90325, 2432, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 21:15:00'::timestamp without time zone, 0.903288349, 0.903638823, 0.9024, 0.90329, 2915, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 21:30:00'::timestamp without time zone, 0.903333576, 0.904263085, 0.9008, 0.902683741, 4159, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 21:45:00'::timestamp without time zone, 0.90264, 0.90313581, 0.9018, 0.902947198, 3251, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 22:00:00'::timestamp without time zone, 0.902959164, 0.902992639, 0.9015, 0.90196, 2930, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 22:15:00'::timestamp without time zone, 0.902006127, 0.902737776, 0.9014, 0.902604539, 2678, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 22:30:00'::timestamp without time zone, 0.9021, 0.902870196, 0.9014, 0.902076415, 2470, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 22:45:00'::timestamp without time zone, 0.90208835, 0.902606301, 0.9014, 0.90244524, 2463, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 23:00:00'::timestamp without time zone, 0.902446532, 0.902480838, 0.9011, 0.901700811, 2401, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 23:15:00'::timestamp without time zone, 0.90164, 0.901945093, 0.901, 0.9012, 2218, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 23:30:00'::timestamp without time zone, 0.90170748, 0.90210669, 0.9011, 0.90173, 2140, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-25 23:45:00'::timestamp without time zone, 0.901718586, 0.90191579, 0.9006, 0.901057666, 2271, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 00:00:00'::timestamp without time zone, 0.901, 0.901162368, 0.9001, 0.900713201, 1861, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 00:15:00'::timestamp without time zone, 0.90063, 0.900993434, 0.9, 0.90073, 1586, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 00:30:00'::timestamp without time zone, 0.900781962, 0.901665895, 0.9003, 0.901149805, 2348, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 00:45:00'::timestamp without time zone, 0.90145, 0.901724434, 0.9007, 0.901291086, 2020, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 01:00:00'::timestamp without time zone, 0.901271254, 0.901290348, 0.9, 0.90055422, 2044, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 01:15:00'::timestamp without time zone, 0.9002, 0.900729223, 0.8997, 0.90026, 2048, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 01:30:00'::timestamp without time zone, 0.900309068, 0.901104932, 0.8998, 0.90101, 2377, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 01:45:00'::timestamp without time zone, 0.901048142, 0.901283722, 0.9, 0.900540476, 2539, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 02:00:00'::timestamp without time zone, 0.90054, 0.90066317, 0.8997, 0.900530373, 2747, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 02:15:00'::timestamp without time zone, 0.900548217, 0.901157219, 0.9, 0.901015128, 2617, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 02:30:00'::timestamp without time zone, 0.900999914, 0.901244852, 0.9002, 0.900804352, 2825, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 02:45:00'::timestamp without time zone, 0.9008, 0.901379516, 0.9002, 0.90097, 2794, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 03:00:00'::timestamp without time zone, 0.900974874, 0.901013969, 0.8994, 0.900251708, 3310, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 03:15:00'::timestamp without time zone, 0.8998, 0.901106826, 0.8997, 0.900954101, 3577, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 03:30:00'::timestamp without time zone, 0.900966024, 0.901251844, 0.9, 0.9004, 3372, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 03:45:00'::timestamp without time zone, 0.900681356, 0.900892267, 0.8996, 0.900705915, 3170, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 04:00:00'::timestamp without time zone, 0.900723776, 0.900901794, 0.8995, 0.89993, 3298, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 04:15:00'::timestamp without time zone, 0.899957748, 0.900486928, 0.8995, 0.89999, 3266, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 04:30:00'::timestamp without time zone, 0.899805062, 0.900270415, 0.8989, 0.899409807, 3080, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 04:45:00'::timestamp without time zone, 0.8989, 0.899900925, 0.8988, 0.899768185, 2535, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 05:00:00'::timestamp without time zone, 0.899773466, 0.899978864, 0.8987, 0.89974, 2901, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 05:15:00'::timestamp without time zone, 0.89975, 0.900272159, 0.8984, 0.899648166, 2723, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 05:30:00'::timestamp without time zone, 0.899816492, 0.899886437, 0.8987, 0.899176656, 2685, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 05:45:00'::timestamp without time zone, 0.899146996, 0.899813914, 0.8986, 0.89975851, 2387, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 06:00:00'::timestamp without time zone, 0.899734764, 0.900379218, 0.8993, 0.900153869, 2610, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 06:15:00'::timestamp without time zone, 0.900140661, 0.900404893, 0.8993, 0.90014, 2467, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING;
Date: 2023-04-30 16:51:22 Duration: 17ms Database: acaweb_fx User: postgres Remote: 192.168.2.82 Application: [unknown]
-
INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 19:15:00'::timestamp without time zone, 0.90088, 0.901070933, 0.9002, 0.900767268, 1285, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 19:30:00'::timestamp without time zone, 0.9003, 0.90098277, 0.9001, 0.90081, 1332, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 19:45:00'::timestamp without time zone, 0.9008, 0.901042321, 0.9002, 0.9007, 1342, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 20:00:00'::timestamp without time zone, 0.90072288, 0.900846433, 0.8997, 0.900211291, 2785, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 20:15:00'::timestamp without time zone, 0.900657308, 0.900775614, 0.8997, 0.900468864, 2377, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 20:30:00'::timestamp without time zone, 0.90049265, 0.900832178, 0.8999, 0.900747654, 2321, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 20:45:00'::timestamp without time zone, 0.900758241, 0.901367962, 0.9002, 0.901179619, 2329, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 21:00:00'::timestamp without time zone, 0.90113, 0.901325703, 0.9, 0.90068405, 2603, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 21:15:00'::timestamp without time zone, 0.90062, 0.900869669, 0.9, 0.9007, 2211, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 21:30:00'::timestamp without time zone, 0.900741362, 0.901280323, 0.9, 0.90096, 3055, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 21:45:00'::timestamp without time zone, 0.900998078, 0.901506641, 0.9004, 0.90128, 2570, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 22:00:00'::timestamp without time zone, 0.901441116, 0.901707622, 0.9006, 0.90144825, 2327, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 22:15:00'::timestamp without time zone, 0.901436333, 0.901748818, 0.9007, 0.901616582, 2542, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 22:30:00'::timestamp without time zone, 0.90157, 0.90177863, 0.9002, 0.901002986, 2708, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 22:45:00'::timestamp without time zone, 0.901, 0.901491965, 0.9005, 0.901037365, 2435, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 23:00:00'::timestamp without time zone, 0.901049272, 0.901235792, 0.9002, 0.900928905, 2369, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 23:15:00'::timestamp without time zone, 0.900922298, 0.901318616, 0.9003, 0.900889089, 2429, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 23:30:00'::timestamp without time zone, 0.90085, 0.901445406, 0.9004, 0.90117, 2000, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-26 23:45:00'::timestamp without time zone, 0.9012424, 0.901577587, 0.9005, 0.900907746, 1925, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 00:00:00'::timestamp without time zone, 0.90088, 0.901372797, 0.9003, 0.90118, 2148, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 00:15:00'::timestamp without time zone, 0.9007, 0.901355486, 0.9005, 0.901044076, 1954, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 00:30:00'::timestamp without time zone, 0.90109, 0.901443182, 0.9005, 0.901252561, 1902, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 00:45:00'::timestamp without time zone, 0.901360319, 0.902056911, 0.9007, 0.901894819, 2016, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 01:00:00'::timestamp without time zone, 0.90186, 0.9022534, 0.9013, 0.902155355, 1917, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 01:15:00'::timestamp without time zone, 0.902114862, 0.903005048, 0.9016, 0.902868141, 2262, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 01:30:00'::timestamp without time zone, 0.902897408, 0.903510983, 0.9024, 0.903159054, 3016, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 01:45:00'::timestamp without time zone, 0.903165686, 0.90353333, 0.9021, 0.9027, 3199, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 02:00:00'::timestamp without time zone, 0.902746936, 0.902774557, 0.9018, 0.902546332, 2943, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 02:15:00'::timestamp without time zone, 0.90252, 0.903390325, 0.9019, 0.90306, 3138, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 02:30:00'::timestamp without time zone, 0.903087643, 0.903187095, 0.9019, 0.902569522, 2761, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 02:45:00'::timestamp without time zone, 0.902564188, 0.903169131, 0.9016, 0.902813121, 3023, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 03:00:00'::timestamp without time zone, 0.90281, 0.903405626, 0.9021, 0.902785596, 3752, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 03:15:00'::timestamp without time zone, 0.902798842, 0.903059771, 0.9014, 0.90206, 3296, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 03:30:00'::timestamp without time zone, 0.902082217, 0.902671566, 0.9015, 0.902345121, 2764, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 03:45:00'::timestamp without time zone, 0.902339793, 0.902737776, 0.9017, 0.902, 2898, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 04:00:00'::timestamp without time zone, 0.902473009, 0.902804444, 0.9016, 0.902329447, 3182, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 04:15:00'::timestamp without time zone, 0.902334775, 0.902603466, 0.9012, 0.90185679, 2473, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 04:30:00'::timestamp without time zone, 0.9018, 0.902101096, 0.9011, 0.901606319, 2698, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 04:45:00'::timestamp without time zone, 0.901588425, 0.902037291, 0.9008, 0.901911279, 2569, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 05:00:00'::timestamp without time zone, 0.90202, 0.902299688, 0.9013, 0.902163049, 2550, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 05:15:00'::timestamp without time zone, 0.902156431, 0.902252404, 0.9008, 0.90137, 2401, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 05:30:00'::timestamp without time zone, 0.901206293, 0.901724434, 0.9007, 0.901325532, 2423, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 05:45:00'::timestamp without time zone, 0.90135, 0.90169301, 0.9004, 0.900974755, 2484, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 06:00:00'::timestamp without time zone, 0.90104, 0.901323444, 0.9002, 0.9011, 2394, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 06:15:00'::timestamp without time zone, 0.901132278, 0.901489201, 0.9005, 0.901166788, 2134, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 06:30:00'::timestamp without time zone, 0.90116, 0.901327709, 0.9002, 0.900873778, 2346, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 06:45:00'::timestamp without time zone, 0.900885687, 0.902235487, 0.9004, 0.90176, 2784, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 07:00:00'::timestamp without time zone, 0.901765917, 0.90195131, 0.901, 0.9011, 2835, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 07:15:00'::timestamp without time zone, 0.901486915, 0.901804337, 0.9008, 0.90137, 2674, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 07:30:00'::timestamp without time zone, 0.90138, 0.901653998, 0.9006, 0.901226848, 2522, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249493325300, '2023-04-27 07:45:00'::timestamp without time zone, 0.90123, 0.901649654, 0.9008, 0.90136, 2523, 0, '2023-04-30 16:51:22'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING;
Date: 2023-04-30 16:51:22 Duration: 11ms Database: acaweb_fx User: postgres Remote: 192.168.2.82 Application: [unknown]
-
INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-20 11:00:00'::timestamp without time zone, 0.9996, 1.01, 0.9996, 1.006, 29840433, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-20 11:15:00'::timestamp without time zone, 0.9984, 1.006, 0.9984, 1.006, 29835105, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-20 11:30:00'::timestamp without time zone, 1.003, 1.0055, 1.003, 1.0045, 7100, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-20 11:45:00'::timestamp without time zone, 1.008, 1.008, 1.005, 1.005, 2809, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-20 12:00:00'::timestamp without time zone, 0.9998, 1.0005, 0.9972, 0.9974, 42450, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-20 12:15:00'::timestamp without time zone, 0.9992, 0.9992, 0.9968, 0.9978, 78960, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-20 14:00:00'::timestamp without time zone, 0.9929, 0.9929, 0.9668, 0.9668, 99621, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 08:00:00'::timestamp without time zone, 1.0645, 1.069, 1.0645, 1.067, 75623669, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 08:15:00'::timestamp without time zone, 1.068, 1.068, 1.065, 1.065, 64597, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 08:30:00'::timestamp without time zone, 1.063, 1.0645, 1.063, 1.0635, 16036, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 08:45:00'::timestamp without time zone, 1.0655, 1.07, 1.0625, 1.0625, 130088, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 09:00:00'::timestamp without time zone, 1.063, 1.064, 1.0615, 1.064, 68486, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 09:15:00'::timestamp without time zone, 1.0645, 1.0715, 1.0645, 1.0715, 750, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 09:30:00'::timestamp without time zone, 1.072, 1.073, 1.069, 1.069, 10560, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 10:15:00'::timestamp without time zone, 1.0695, 1.0695, 1.065, 1.067, 9679, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 10:30:00'::timestamp without time zone, 1.068, 1.0685, 1.065, 1.0685, 28426, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 10:45:00'::timestamp without time zone, 1.07, 1.072, 1.0685, 1.0715, 101451, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 11:00:00'::timestamp without time zone, 1.069, 1.073, 1.0685, 1.073, 35859, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 11:15:00'::timestamp without time zone, 1.0745, 1.076, 1.071, 1.073, 221665, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 11:30:00'::timestamp without time zone, 1.0745, 1.0765, 1.0725, 1.0735, 117242, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 11:45:00'::timestamp without time zone, 1.073, 1.074, 1.071, 1.071, 95119, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 12:00:00'::timestamp without time zone, 1.0715, 1.0745, 1.0715, 1.0735, 144854, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 12:15:00'::timestamp without time zone, 1.0735, 1.0735, 1.0705, 1.073, 110924, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-21 13:30:00'::timestamp without time zone, 1.0705, 1.0705, 1.0705, 1.0705, 16848, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 08:00:00'::timestamp without time zone, 1.077, 1.0805, 1.077, 1.0795, 163244, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 08:15:00'::timestamp without time zone, 1.079, 1.0795, 1.0785, 1.0785, 9107, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 08:30:00'::timestamp without time zone, 1.073, 1.074, 1.073, 1.074, 483, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 08:45:00'::timestamp without time zone, 1.0715, 1.0715, 1.0715, 1.0715, 15, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 09:00:00'::timestamp without time zone, 1.068, 1.071, 1.0675, 1.0675, 37359154, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 09:15:00'::timestamp without time zone, 1.0685, 1.0695, 1.068, 1.0695, 10088, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 09:30:00'::timestamp without time zone, 1.0605, 1.0645, 1.0605, 1.0645, 10744, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 09:45:00'::timestamp without time zone, 1.068, 1.068, 1.0665, 1.0665, 4665, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 10:00:00'::timestamp without time zone, 1.07, 1.07, 1.07, 1.07, 475, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 10:30:00'::timestamp without time zone, 1.0595, 1.0595, 1.0595, 1.0595, 26800, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 10:45:00'::timestamp without time zone, 1.0585, 1.0585, 1.0585, 1.0585, 9900, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 11:00:00'::timestamp without time zone, 1.0545, 1.0545, 1.05, 1.05, 30195, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 11:15:00'::timestamp without time zone, 1.055, 1.055, 1.05, 1.05, 5516, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 11:30:00'::timestamp without time zone, 1.0475, 1.0475, 1.0475, 1.0475, 1, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 11:45:00'::timestamp without time zone, 1.0475, 1.0475, 1.0475, 1.0475, 50, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 12:00:00'::timestamp without time zone, 1.074, 1.074, 1.074, 1.074, 3189030, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 12:15:00'::timestamp without time zone, 1.047, 1.048, 1.0465, 1.0465, 58433, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-22 13:30:00'::timestamp without time zone, 1.0739, 1.0739, 1.0468, 1.057, 439738, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-23 08:00:00'::timestamp without time zone, 1.02, 1.02, 1.02, 1.02, 4000, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-23 08:15:00'::timestamp without time zone, 1.025, 1.0265, 1.025, 1.0265, 14546, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-23 08:30:00'::timestamp without time zone, 1.028, 1.028, 1.0275, 1.0275, 12022, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-23 08:45:00'::timestamp without time zone, 1.0285, 1.0285, 1.0285, 1.0285, 15841, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-23 09:15:00'::timestamp without time zone, 1.021, 1.0225, 1.021, 1.0225, 1508, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-23 09:30:00'::timestamp without time zone, 1.028, 1.028, 1.027, 1.027, 2421032, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-23 09:45:00'::timestamp without time zone, 1.022, 1.022, 1.022, 1.022, 1, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-23 10:00:00'::timestamp without time zone, 1.0215, 1.024, 1.0215, 1.024, 31142, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING; INSERT INTO T15 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimereceived) VALUES (515840249632417300, '2023-03-23 10:15:00'::timestamp without time zone, 1.023, 1.023, 1.0225, 1.0225, 9300, 0, '2023-04-30 16:51:32'::timestamp without time zone) ON CONFLICT (symbolid, pricedatetime) DO NOTHING;
Date: 2023-04-30 16:51:32 Duration: 6ms Database: acaweb_fx User: postgres Remote: 192.168.2.82 Application: [unknown]
20 580 5s837ms 0ms 84ms 10ms select distinct pricedatetime, high, low from t15_ps where pricedatetime <= current_timestamp and pricedatetime >= current_timestamp - interval ? and symbolid = ? order by pricedatetime asc;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Apr 30 16 580 5s837ms 10ms [ User: pgperfstats - Total duration: 5s837ms - Times executed: 580 ]
[ Application: [unknown] - Total duration: 5s837ms - Times executed: 580 ]
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select distinct pricedatetime, high, low FROM t15_ps WHERE pricedatetime <= current_timestamp AND pricedatetime >= current_timestamp - interval '6 months' and symbolid = 600530195543233300order by pricedatetime asc;
Date: 2023-04-30 16:09:51 Duration: 84ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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select distinct pricedatetime, high, low FROM t15_ps WHERE pricedatetime <= current_timestamp AND pricedatetime >= current_timestamp - interval '6 months' and symbolid = 515840249730262300order by pricedatetime asc;
Date: 2023-04-30 16:09:06 Duration: 68ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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select distinct pricedatetime, high, low FROM t15_ps WHERE pricedatetime <= current_timestamp AND pricedatetime >= current_timestamp - interval '6 months' and symbolid = 515840249730999300order by pricedatetime asc;
Date: 2023-04-30 16:09:08 Duration: 64ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 14s44ms 16s452ms 15s306ms 4 1m1s select updateageforrelevantresults ();Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Apr 30 16 4 1m1s 15s306ms [ User: postgres - Total duration: 1m1s - Times executed: 4 ]
[ Application: psql - Total duration: 1m1s - Times executed: 4 ]
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select updateageforrelevantresults ();
Date: 2023-04-30 16:02:18 Duration: 16s452ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateageforrelevantresults ();
Date: 2023-04-30 16:17:18 Duration: 16s6ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateageforrelevantresults ();
Date: 2023-04-30 16:32:17 Duration: 14s724ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
2 334ms 22s844ms 13s505ms 20 4m30s with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ), ar as ( select a.*, rr.age, rr.relevant from autochartist_results a left outer join relevance_autochartist_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_autochartist_results) end ), all_results as ( select ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? else ? end as age, case when ar.relevant is not null then ar.relevant when ar.resultuid <= rm.resultuid then ? else ? end as relevant from ar inner join symbols s on ar.symbolid = s.symbolid and s.nonliquid = ? inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = s.symbolid inner join symbolgroup sg on bsl.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on sg.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where ar.gmttimefound > now() - interval ? and dss.enabled = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ar.pattern in (...)) and (? = ? or (? = ? and ar.breakout >= ?) or (? = ? and ar.breakout < ?)) and (? = ? or ar.patternlengthbars <= ?) and newlevels.filtered = false ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Apr 30 16 20 4m30s 13s505ms [ User: postgres - Total duration: 4m30s - Times executed: 20 ]
[ Application: [unknown] - Total duration: 3m34s - Times executed: 12 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 55s190ms - Times executed: 8 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:00:53 Duration: 22s844ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
-
WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:55:51 Duration: 21s204ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:05:51 Duration: 20s872ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
3 245ms 18s72ms 11s814ms 20 3m56s with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end ), all_results as ( select kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Apr 30 16 20 3m56s 11s814ms [ User: postgres - Total duration: 3m56s - Times executed: 20 ]
[ Application: [unknown] - Total duration: 2m54s - Times executed: 12 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m1s - Times executed: 8 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:06:10 Duration: 18s72ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:01:10 Duration: 16s652ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:11:04 Duration: 16s240ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
4 4s461ms 16s239ms 9s395ms 96 15m2s with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end ), all_results as ( select kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where kr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc limit ?;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Apr 30 16 96 15m2s 9s395ms [ User: postgres - Total duration: 15m2s - Times executed: 96 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 15m2s - Times executed: 96 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC LIMIT 200;
Date: 2023-04-30 16:00:53 Duration: 16s239ms Database: acaweb_fx User: postgres Remote: 192.168.1.20 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC LIMIT 200;
Date: 2023-04-30 16:01:11 Duration: 15s855ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC LIMIT 200;
Date: 2023-04-30 16:06:10 Duration: 15s793ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
5 847ms 21s84ms 4s437ms 96 7m6s with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ), ar as ( select a.*, rr.age, rr.relevant from autochartist_results a left outer join relevance_autochartist_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_autochartist_results) end ), all_results as ( select ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? else ? end as age, case when ar.relevant is not null then ar.relevant when ar.resultuid <= rm.resultuid then ? else ? end as relevant from ar inner join symbols s on ar.symbolid = s.symbolid and s.nonliquid = ? inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = s.symbolid inner join symbolgroup sg on bsl.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on sg.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where ar.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ar.pattern in (...)) and (? = ? or (? = ? and ar.breakout >= ?) or (? = ? and ar.breakout < ?)) and (? = ? or ar.patternlengthbars <= ?) and newlevels.filtered = false ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Apr 30 16 96 7m6s 4s437ms [ User: postgres - Total duration: 7m6s - Times executed: 96 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 7m6s - Times executed: 96 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:10:51 Duration: 21s84ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:00:49 Duration: 19s921ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:05:49 Duration: 19s610ms Database: acaweb_fx User: postgres Remote: 192.168.1.20 Application: PostgreSQL JDBC Driver Bind query: yes
6 1s443ms 6s333ms 3s255ms 96 5m12s with rar_max as ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ? ), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end ), all_results as ( select fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join lateral calc_fib_signal_filter (fr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp))) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Apr 30 16 96 5m12s 3s255ms [ User: postgres - Total duration: 5m12s - Times executed: 96 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 5m12s - Times executed: 96 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR fr.pattern in ('')) AND ('400' = 0 OR fr.patternlengthbars <= '400') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:05:54 Duration: 6s333ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('0' = 0 OR fr.pattern in ('')) AND ('400' = 0 OR fr.patternlengthbars <= '400') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:00:55 Duration: 5s508ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('312' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#META', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#RWE', '#SAP', '#SIE', '#T', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#QCOM', '#RACE', '#T', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR fr.pattern in ('')) AND ('400' = 0 OR fr.patternlengthbars <= '400') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:17:00 Duration: 5s79ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
7 1s623ms 4s326ms 2s960ms 8 23s686ms with rar_max as ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ? ), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end ), all_results as ( select fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join lateral calc_fib_signal_filter (fr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp))) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Apr 30 16 8 23s686ms 2s960ms [ User: postgres - Total duration: 23s686ms - Times executed: 8 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 23s686ms - Times executed: 8 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR fr.pattern in ('')) AND ('0' = 0 OR fr.patternlengthbars <= '0') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:56:14 Duration: 4s326ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR fr.pattern in ('')) AND ('0' = 0 OR fr.patternlengthbars <= '0') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:09:30 Duration: 4s272ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END ), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR fr.pattern in ('')) AND ('0' = 0 OR fr.patternlengthbars <= '0') AND ('0' = 0 OR ('0' = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ('0' = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:39:27 Duration: 4s245ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
8 196ms 4s262ms 1s171ms 60 1m10s with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ), ar as ( select a.*, rr.age, rr.relevant from autochartist_results a left outer join relevance_autochartist_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_autochartist_results) end ), results as ( select distinct on (s.symbolid) ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? else ? end as age, case when ar.relevant is not null then ar.relevant when ar.resultuid <= rm.resultuid then ? else ? end as relevant from ar inner join symbols s on ar.symbolid = s.symbolid and s.nonliquid = ? inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = s.symbolid inner join symbolgroup sg on bsl.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on sg.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true where ar.gmttimefound > now() - interval ? and dss.enabled = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or ar.pattern in (...)) and (? = ? or (? = ? and ar.breakout >= ?) or (? = ? and ar.breakout < ?)) and (? = ? or ar.patternlengthbars <= ?) and newlevels.filtered = false order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Apr 30 16 60 1m10s 1s171ms [ User: postgres - Total duration: 1m10s - Times executed: 60 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m10s - Times executed: 60 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:00:34 Duration: 4s262ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:05:34 Duration: 4s146ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:55:33 Duration: 3s55ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
9 1s32ms 1s80ms 1s54ms 16 16s869ms with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then ? else ? end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then ? else ? end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike ? inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike ?) sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike ?; update solr_relevance_old set newrelevant = ? where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike ? and a.resultuid is null); update solr_relevance_old set new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total from ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total from whatshot_probability where type in (...)) sub where result_uid = sub.resultuid;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Apr 30 16 16 16s869ms 1s54ms [ User: postgres - Total duration: 16s869ms - Times executed: 16 ]
[ Application: psql - Total duration: 16s869ms - Times executed: 16 ]
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with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid;
Date: 2023-04-30 16:01:13 Duration: 1s80ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid;
Date: 2023-04-30 16:56:13 Duration: 1s75ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid;
Date: 2023-04-30 16:33:14 Duration: 1s71ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
10 12ms 3s536ms 949ms 31 29s426ms select fixcandlegaps (?, false);Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Apr 30 16 31 29s426ms 949ms [ User: postgres - Total duration: 29s426ms - Times executed: 31 ]
[ Application: psql - Total duration: 29s426ms - Times executed: 31 ]
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select fixcandlegaps ('LEGACYFXMT5', false);
Date: 2023-04-30 16:06:08 Duration: 3s536ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select fixcandlegaps ('XM', false);
Date: 2023-04-30 16:06:12 Duration: 2s838ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select fixcandlegaps ('ATFX', false);
Date: 2023-04-30 16:06:18 Duration: 2s12ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
11 83ms 3s180ms 741ms 60 44s494ms with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end ), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Apr 30 16 60 44s494ms 741ms [ User: postgres - Total duration: 44s494ms - Times executed: 60 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 44s494ms - Times executed: 60 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:00:37 Duration: 3s180ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:05:37 Duration: 3s98ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:15:35 Duration: 2s167ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
12 62ms 8s119ms 646ms 14 9s50ms select distinct patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzos, dftt.timezone as tz, longname, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as relevant from symbols s inner join brokersymbollist b on s.symbolid = b.symbolid inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join autochartist_results a on a.symbolid = s.symbolid inner join patterns p on a.pattern = p.patternname left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and (((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Apr 30 16 14 9s50ms 646ms [ User: postgres - Total duration: 9s50ms - Times executed: 14 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 9s50ms - Times executed: 14 ]
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((s.symbol ilike '%uk100%' AND timegranularity = 240)) OR ((s.symbol ilike '%us30%' AND timegranularity = 240)) OR ((s.symbol ilike '%us500%' AND timegranularity = 240)) OR ((s.symbol ilike '%de30%' AND timegranularity = 240))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.7 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:05:48 Duration: 8s119ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((s.symbol ilike '%uk100%' AND timegranularity = 240)) OR ((s.symbol ilike '%us30%' AND timegranularity = 240)) OR ((s.symbol ilike '%us500%' AND timegranularity = 240)) OR ((s.symbol ilike '%de30%' AND timegranularity = 240))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.7 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601833475450195301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:09:48 Duration: 131ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((s.symbol ilike '%uk100%' AND timegranularity = 240)) OR ((s.symbol ilike '%us30%' AND timegranularity = 240)) OR ((s.symbol ilike '%us500%' AND timegranularity = 240)) OR ((s.symbol ilike '%de30%' AND timegranularity = 240))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.7 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601833475450195301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:25:48 Duration: 93ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
13 492ms 715ms 538ms 18 9s700ms insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?);Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Apr 30 16 18 9s700ms 538ms [ User: pgperfstats - Total duration: 9s700ms - Times executed: 18 ]
[ Application: [unknown] - Total duration: 9s700ms - Times executed: 18 ]
-
insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 930, '2023-04-30 00:00:00', 0.336452076825225, 1.33, 0.897570795722168, 1.99666666666667, 1.03522944316706, 2.24, 1.39478791697282, 3.53333333333333, 4.68680061449173, 10.37 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 945, '2023-04-30 00:00:00', 0.864349466361842, 1.65, 0.899685130105705, 1.87333333333333, 0.941753683295159, 2.23, 1.17817655722733, 3.46, 4.93601391137963, 10.2833333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 960, '2023-04-30 00:00:00', 0.140118997046544, 1.03666666666666, 0.240624188310315, 1.19999999999999, 0.21501937897162, 1.66333333333334, 0.5720431219177, 2.82666666666666, 5.48245383017495, 9.74 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 975, '2023-04-30 00:00:00', 0.119303534454498, 0.813333333333323, 0.342198772645379, 1.14, 0.49541228621557, 1.84333333333332, 0.454312667664029, 2.72999999999999, 5.48754954419547, 9.69 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 990, '2023-04-30 00:00:00', 0.582578237318733, 1.31545454545454, 0.577832380314793, 1.61045454545454, 0.603268873167956, 1.88, 0.991125993973895, 2.58454545454546, 3.01931147364623, 7.27681818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1005, '2023-04-30 00:00:00', 0.28597255642859, 0.892272727272727, 0.447531952473619, 1.22090909090909, 0.551038374383573, 1.62636363636364, 0.814619264107192, 2.34954545454546, 3.04681197376261, 7.25818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1020, '2023-04-30 00:00:00', 0.242435781651777, 0.773181818181818, 0.359676381719873, 1.04636363636363, 0.442994532521741, 1.42818181818182, 0.685335573631521, 2.14909090909091, 3.0229148299719, 7.23954545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1035, '2023-04-30 00:00:00', 0.188622828492661, 0.704999999999997, 0.259411588589198, 0.980909090909092, 0.424617984664372, 1.36636363636364, 0.60976913522119, 1.99227272727273, 2.97708830267171, 7.215 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1050, '2023-04-30 00:00:00', 0.211126129184056, 0.611363636363637, 0.250376772362233, 0.871363636363634, 0.426120118016454, 1.26454545454545, 0.536860361378122, 1.94, 3.02095094113502, 7.23727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1065, '2023-04-30 00:00:00', 0.241541316946415, 0.612272727272725, 0.315004638184775, 0.917727272727274, 0.436708467646652, 1.14, 0.571152097619118, 1.92363636363637, 3.33342627576053, 7.35454545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1080, '2023-04-30 00:00:00', 0.225692297137081, 0.66318181818182, 0.303400996211556, 0.829545454545453, 0.412344159201639, 1.07090909090909, 0.581807342296211, 1.92954545454546, 3.32364622702601, 7.41363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1095, '2023-04-30 00:00:00', 0.192664165115054, 0.536363636363633, 0.212154481002698, 0.699999999999999, 0.384318140217757, 1.04636363636364, 0.598328298885113, 1.96590909090909, 3.33184997297661, 7.44363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1110, '2023-04-30 00:00:00', 0.204529340394605, 0.513181818181815, 0.319503470298009, 0.734090909090911, 0.411055288515364, 1.00954545454546, 0.588939173980937, 1.97272727272728, 3.4063577239807, 7.48590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1125, '2023-04-30 00:00:00', 0.241954523293104, 0.520909090909094, 0.319358461356244, 0.752272727272729, 0.329245825869995, 0.941363636363638, 0.825186322918931, 2.06909090909091, 3.31311002714188, 7.73136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1140, '2023-04-30 00:00:00', 0.232262073950248, 0.521363636363635, 0.226517011965894, 0.666363636363636, 0.256271974034084, 0.869090909090908, 0.827193659700889, 2.06272727272727, 3.38640064188503, 7.94045454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1155, '2023-04-30 00:00:00', 0.153645456837899, 0.415454545454547, 0.194975855981153, 0.601818181818182, 0.240252843003842, 0.804999999999996, 1.51791723334071, 2.85181818181818, 3.50649456188857, 8.11772727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1170, '2023-04-30 00:00:00', 0.196078988412754, 0.457727272727271, 0.190404559041783, 0.60409090909091, 0.246160560701798, 0.790454545454541, 1.51265691826698, 2.965, 3.76553819819663, 8.29272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1185, '2023-04-30 00:00:00', 0.109442704771514, 0.395909090909093, 0.144614729240906, 0.569090909090903, 0.245231580630492, 0.773636363636362, 1.51484715557772, 3.06, 3.93750621520845, 8.33863636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1200, '2023-04-30 00:00:00', 0.128551706039014, 0.417272727272721, 0.186148593068277, 0.55318181818181, 0.285796903639404, 0.833181818181815, 1.51636619924623, 3.04954545454545, 4.0822743215472, 8.39727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1215, '2023-04-30 00:00:00', 0.148569659496631, 0.404090909090905, 0.214756985382466, 0.584090909090909, 0.301456780444876, 0.869999999999996, 1.57892971585788, 3.16, 4.16241937638858, 8.43272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1230, '2023-04-30 00:00:00', 0.186719805361635, 0.405000000000001, 0.25028511879982, 0.610454545454547, 0.381627864338842, 0.912727272727273, 1.57444527439918, 3.14727272727272, 4.16728383308055, 8.42454545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1245, '2023-04-30 00:00:00', 0.13701913159936, 0.441363636363638, 0.232386917991697, 0.646818181818181, 0.360916642053013, 0.89318181818182, 1.51077601114267, 3.11818181818181, 4.1620710587201, 8.44454545454546 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1260, '2023-04-30 00:00:00', 0.143874193480912, 0.399545454545455, 0.267785935701093, 0.570454545454547, 0.408741336935084, 0.918636363636368, 1.52050914234281, 3.12636363636364, 4.18530248923622, 8.43954545454546 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1275, '2023-04-30 00:00:00', 0.243250000556145, 0.410909090909093, 0.259112705090652, 0.631818181818183, 0.53085653241592, 1.04909090909091, 1.49796051826666, 3.12, 4.18661392382748, 8.45863636363637 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1290, '2023-04-30 00:00:00', 0.140226316764793, 0.445909090909091, 0.304561284075263, 0.693636363636364, 0.570621291233211, 1.04909090909091, 1.50103196824617, 3.10727272727273, 4.18002640891428, 8.51727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1305, '2023-04-30 00:00:00', 0.203853036784, 0.466818181818182, 0.559846144603769, 0.79090909090909, 0.931480806837419, 1.11227272727273, 1.43014999364717, 3.06363636363636, 4.19126335704863, 8.51136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 930, '2023-04-30 00:00:00', 0.191398362932729, 1.05666666666666, 0.591016074231486, 1.67, 1.86038526475925, 2.52333333333332, 2.13100915061386, 3.44000000000001, 8.32792291030603, 10.99 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 945, '2023-04-30 00:00:00', 0.499433011857769, 1.03333333333333, 1.70898605416583, 1.95666666666666, 2.09915062187859, 2.21666666666667, 1.44921818003133, 3.49333333333333, 7.94796200292879, 10.77 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 960, '2023-04-30 00:00:00', 1.10891839194775, 1.29999999999999, 0.996042167782056, 1.43, 1.21541488115511, 1.90666666666668, 0.663023378170035, 3.06999999999999, 7.17112961812851, 10.32 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 975, '2023-04-30 00:00:00', 0.115902257671434, 0.553333333333332, 0.506853035898961, 0.959999999999999, 0.208086520466832, 1.25, 0.480555234425073, 2.50333333333333, 6.70531878436811, 10.05 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 990, '2023-04-30 00:00:00', 0.435632166644503, 1.09076923076922, 0.673611163802974, 1.53, 0.979231409752644, 2.00692307692307, 1.27343847062256, 2.95846153846154, 3.77703163873431, 8.14 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1005, '2023-04-30 00:00:00', 0.536054101747203, 0.945000000000005, 0.74120401011826, 1.43076923076923, 0.939799651316912, 1.82923076923077, 1.28067896655821, 2.75884615384616, 3.83266976642412, 8.07846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1020, '2023-04-30 00:00:00', 0.355269128754743, 0.901923076923072, 0.422173132548902, 1.16307692307692, 0.598633829263313, 1.51769230769231, 1.08396402154315, 2.515, 3.8382858353497, 7.98307692307693 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1035, '2023-04-30 00:00:00', 0.3164468602856, 0.748846153846158, 0.584347104434976, 1.16846153846154, 0.662381716581563, 1.43153846153846, 1.10294493899811, 2.36346153846154, 3.84239462595118, 7.96730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1050, '2023-04-30 00:00:00', 0.35716404332765, 0.806923076923075, 0.398416287896891, 0.946538461538458, 0.679713061632518, 1.32461538461539, 1.06934832779308, 2.30461538461539, 3.79142011145408, 7.93230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1065, '2023-04-30 00:00:00', 0.24695437136941, 0.63230769230769, 0.454974724572696, 0.954999999999997, 0.619672370010032, 1.17538461538461, 1.08368914078077, 2.25692307692308, 3.79658713137916, 7.95538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1080, '2023-04-30 00:00:00', 0.362286966580148, 0.670384615384614, 0.548257098589562, 0.854615384615387, 0.64416815769224, 1.09384615384616, 1.06779780569458, 2.17807692307693, 3.80684591836258, 7.95038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1095, '2023-04-30 00:00:00', 0.321894631589525, 0.598076923076924, 0.349356551391272, 0.784999999999999, 0.568144212461809, 1.06961538461539, 1.01256726272306, 2.1173076923077, 3.80923422548619, 7.96423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1110, '2023-04-30 00:00:00', 0.163436179028344, 0.510769230769234, 0.398510495952884, 0.701153846153851, 0.579035803330383, 1.0523076923077, 1.02389940912182, 2.065, 4.01753611826185, 7.7773076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1125, '2023-04-30 00:00:00', 0.270838299757225, 0.504230769230771, 0.361563272471086, 0.780000000000001, 0.537194993962587, 1.07230769230769, 0.949309465631975, 2.01730769230769, 3.97146514332121, 8.13076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1140, '2023-04-30 00:00:00', 0.233906292874208, 0.528076923076923, 0.344117153575084, 0.743846153846154, 0.575722155210307, 1.03, 0.919469495875835, 1.93807692307692, 3.99653143844278, 8.19653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1155, '2023-04-30 00:00:00', 0.190902713846207, 0.449615384615388, 0.290820589684802, 0.643846153846156, 0.492472724742585, 0.905769230769231, 0.86442555403085, 2.50653846153846, 3.98072185181764, 8.30769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1170, '2023-04-30 00:00:00', 0.294179432424393, 0.481538461538461, 0.518713942213001, 0.671923076923073, 0.593937707171382, 1.035, 0.885628242896186, 2.65576923076923, 3.96802421286037, 8.38192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1185, '2023-04-30 00:00:00', 0.332225132194327, 0.461538461538459, 0.337030471117283, 0.641538461538459, 0.761747888841081, 1.07961538461539, 0.937179483671824, 2.75576923076923, 3.9850575712471, 8.42961538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1200, '2023-04-30 00:00:00', 0.240608523411909, 0.48730769230769, 0.534371233679929, 0.803846153846154, 0.812210279706884, 1.12846153846154, 0.933513544873098, 2.78653846153846, 3.986400053258, 8.47423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1215, '2023-04-30 00:00:00', 0.420571040372489, 0.57, 0.626166480689009, 0.80269230769231, 0.696978092581438, 1.0923076923077, 0.979528693575875, 2.84730769230769, 4.01943005910042, 8.55500000000001 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1230, '2023-04-30 00:00:00', 0.321947200640105, 0.505000000000004, 0.360396362997105, 0.721538461538464, 0.579936336028498, 1.05307692307693, 0.97929150213501, 2.90038461538461, 4.02784828986319, 8.57461538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1245, '2023-04-30 00:00:00', 0.306031923925495, 0.506538461538465, 0.515132843210221, 0.81461538461539, 0.692317512750866, 1.07653846153846, 0.976583132858954, 2.93884615384615, 4.01878223040072, 8.57884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1260, '2023-04-30 00:00:00', 0.416073957922793, 0.571538461538465, 0.468877546749849, 0.753076923076925, 0.627909351615466, 1.04307692307693, 0.935624924849695, 2.905, 4.00532001986588, 8.6073076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1275, '2023-04-30 00:00:00', 0.263628234743264, 0.469615384615382, 0.369934921511675, 0.690384615384616, 0.53860003713331, 0.985000000000003, 0.967636056821744, 2.95346153846154, 4.0014078291752, 8.60615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1290, '2023-04-30 00:00:00', 0.288753288359564, 0.467692307692305, 0.417257161066813, 0.673461538461539, 0.579372604965594, 0.956153846153845, 0.96243161595233, 3.00884615384615, 4.00157017258898, 8.62961538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1305, '2023-04-30 00:00:00', 0.287277137701824, 0.461923076923077, 0.463391676828407, 0.709615384615386, 0.522614139171089, 0.941538461538461, 0.933089162200154, 3.02923076923077, 3.976057111492, 8.63307692307693 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 930, '2023-04-30 00:00:00', 0.189296944859993, 0.916666666666667, 0.474657771452238, 1.17000000000002, 0.340440890611001, 1.34000000000001, 0.398288002999521, 1.83666666666666, 6.91525126080028, 10.02 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 945, '2023-04-30 00:00:00', 0.545374489074558, 0.893333333333345, 0.297040962382866, 1.11666666666667, 0.236431808350752, 1.42000000000001, 0.308922859842619, 1.75666666666666, 6.91525126080028, 10.02 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 960, '2023-04-30 00:00:00', 0.108166538263924, 0.849999999999994, 0.12342339054383, 1.04333333333333, 0.39068316233661, 1.31666666666666, 0.564003546088149, 1.75999999999999, 6.91056437637331, 10.03 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 975, '2023-04-30 00:00:00', 0.217332310836036, 0.683333333333347, 0.237977589981354, 0.876666666666675, 0.225018517756497, 1.11666666666667, 0.853365884795813, 2.84666666666667, 6.91056437637331, 10.03 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 990, '2023-04-30 00:00:00', 0.429778476033338, 1.09846153846154, 0.506210050655473, 1.35384615384615, 0.56606890039994, 1.635, 0.838021112273064, 2.62923076923077, 4.0497901370128, 8.43807692307693 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1005, '2023-04-30 00:00:00', 0.249978768329201, 0.845769230769232, 0.38953641085862, 1.16115384615384, 0.449000942263874, 1.45538461538461, 0.809486161805031, 2.52961538461538, 4.08188365265916, 8.41307692307693 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1020, '2023-04-30 00:00:00', 0.384993306635123, 0.889615384615379, 0.400419011306134, 1.04923076923077, 0.54213140615395, 1.48230769230769, 0.87637856238921, 2.54076923076923, 4.08291472056233, 8.40384615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1035, '2023-04-30 00:00:00', 0.188917564439748, 0.645384615384616, 0.303159008798, 1.00576923076923, 0.503683814128849, 1.32576923076923, 0.946852600014301, 2.57538461538462, 4.08935219620606, 8.38576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1050, '2023-04-30 00:00:00', 0.286917838681821, 0.785384615384615, 0.384847822072371, 1.08038461538462, 0.507765088023373, 1.29423076923077, 1.28171687741332, 2.61307692307692, 4.08860660861374, 8.39 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1065, '2023-04-30 00:00:00', 0.30429161114856, 0.62576923076923, 0.376836222332117, 0.868461538461538, 0.483592962982459, 1.19307692307692, 1.38757319973232, 2.61076923076923, 4.07155024341041, 8.42423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1080, '2023-04-30 00:00:00', 0.182586544284749, 0.624615384615382, 0.283252537499665, 0.839999999999996, 0.410446661015124, 1.21230769230769, 1.51262934602682, 2.62653846153846, 4.06512355758857, 8.42153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1095, '2023-04-30 00:00:00', 0.196553770290431, 0.51576923076923, 0.265891823000374, 0.742307692307692, 0.343421024400083, 1.085, 2.13693756433036, 2.72692307692308, 4.0696491816296, 8.40269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1110, '2023-04-30 00:00:00', 0.207517561814751, 0.54346153846154, 0.294524388437726, 0.816153846153847, 0.278268547657445, 1.04423076923077, 2.43672352524072, 2.78846153846154, 4.06131505795844, 8.38 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1125, '2023-04-30 00:00:00', 0.238179311896277, 0.555769230769233, 0.227191887720826, 0.711923076923077, 0.317648329979023, 1.01730769230769, 2.54459357492281, 2.82269230769231, 4.33484557439433, 8.75692307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1140, '2023-04-30 00:00:00', 0.172897479627486, 0.48153846153846, 0.193161948793073, 0.62346153846154, 0.386802473940062, 0.958076923076923, 2.52724562746451, 2.82769230769231, 4.31180470872161, 8.83038461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1155, '2023-04-30 00:00:00', 0.133341089517995, 0.399615384615387, 0.280702415653744, 0.674615384615387, 0.697688932228287, 1.08461538461539, 2.5989432467832, 3.965, 4.29132678066604, 8.89153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1170, '2023-04-30 00:00:00', 0.294464833998118, 0.508461538461538, 0.320071145937179, 0.658461538461537, 0.665420283614918, 1.06807692307692, 2.72303148375822, 4.10269230769231, 4.29624854244509, 8.88653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1185, '2023-04-30 00:00:00', 0.191053758040869, 0.43153846153846, 0.668514886779761, 0.811923076923079, 0.767395194548015, 1.15923076923077, 2.73449736627298, 4.16961538461538, 4.30109025534403, 8.86576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1200, '2023-04-30 00:00:00', 0.689270294196364, 0.641538461538464, 0.672905525429723, 0.835384615384617, 0.939007659508368, 1.22923076923077, 2.72091274278433, 4.19692307692308, 4.28104338468304, 8.88730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1215, '2023-04-30 00:00:00', 0.320484248982933, 0.50692307692308, 0.744113308162548, 0.903846153846154, 1.17900277288119, 1.46653846153846, 2.75227749048227, 4.25923076923077, 4.27734024113835, 8.89653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1230, '2023-04-30 00:00:00', 0.76872241664085, 0.696923076923075, 1.00987988623171, 0.915769230769229, 1.54846305934428, 1.55461538461538, 2.79019329355237, 4.31115384615385, 4.28036729193257, 8.89807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1245, '2023-04-30 00:00:00', 0.74264889726935, 0.60923076923077, 1.06064798771607, 1.12307692307692, 1.47605169807315, 1.54615384615385, 2.62329763113881, 4.22230769230769, 4.18310824810745, 8.81884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1260, '2023-04-30 00:00:00', 0.742091534888957, 0.839615384615387, 0.916001343633547, 1.08230769230769, 1.23693995874435, 1.4573076923077, 2.32590667184946, 4.05461538461539, 4.03479764052672, 8.68 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1275, '2023-04-30 00:00:00', 0.504073254749589, 0.644615384615383, 0.737249357669858, 0.963846153846156, 1.48730566927117, 1.46307692307693, 2.15123781898845, 3.93192307692308, 3.90183051715671, 8.58576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1290, '2023-04-30 00:00:00', 0.634623086200358, 0.672307692307694, 0.817763178056226, 0.933846153846156, 1.50799122625483, 1.47153846153846, 2.06238148377437, 3.90423076923077, 3.8413761356296, 8.53115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1305, '2023-04-30 00:00:00', 0.363167475670132, 0.618846153846158, 1.03592463343327, 1.01961538461539, 1.31896492051096, 1.37269230769231, 1.89729949786938, 3.88576923076923, 3.64576966655032, 8.41730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 930, '2023-04-30 00:00:00', 0.559672523296741, 1.18333333333333, 1.29526059154134, 1.96, 0.8984616482262, 2.36333333333333, 0.61294371682888, 3.34999999999999, 1.4446222112834, 7.14333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 945, '2023-04-30 00:00:00', 0.473532821812117, 1.19666666666667, 0.205264057577882, 1.47333333333334, 0.0650640709864755, 1.69666666666667, 0.683398370888686, 2.66333333333333, 0.933595201358699, 6.62999999999999 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 960, '2023-04-30 00:00:00', 0.132035348802263, 0.786666666666671, 0.28919428302325, 1.08333333333334, 0.100166528008772, 1.65333333333334, 0.410040648391511, 2.27666666666667, 0.882288690471166, 6.41333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 975, '2023-04-30 00:00:00', 0.262741951985838, 0.786666666666681, 0.221208800307161, 0.953333333333338, 0.210000000000008, 1.59, 0.303150127824486, 2.4, 0.882288690471166, 6.41333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 990, '2023-04-30 00:00:00', 0.53310943216817, 1.2384, 0.662127379487262, 1.5428, 0.678739763581499, 1.8828, 1.00526663129739, 2.6312, 2.68200254784865, 7.2972 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1005, '2023-04-30 00:00:00', 0.477937234372885, 0.943600000000002, 0.593085997137014, 1.2952, 0.586855178046512, 1.6064, 0.743278099592159, 2.4404, 2.59576783759, 7.1024 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1020, '2023-04-30 00:00:00', 0.30481032353471, 0.824799999999997, 0.298771373015112, 1.1032, 0.467303612939885, 1.4232, 0.704170433914971, 2.2832, 2.4788924274092, 6.9992 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1035, '2023-04-30 00:00:00', 0.223060529901641, 0.7032, 0.260222981306417, 0.9592, 0.397900741391617, 1.246, 0.638125640711401, 2.1328, 2.56268661109131, 6.9328 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1050, '2023-04-30 00:00:00', 0.216693331692507, 0.646800000000003, 0.357680956533425, 0.867599999999998, 0.378857932915932, 1.094, 0.630668428468297, 2.0552, 2.58325485902314, 6.8984 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1065, '2023-04-30 00:00:00', 0.233853230324775, 0.630399999999997, 0.299909430773136, 0.859599999999997, 0.306780594779614, 1.0132, 0.650588707761417, 2.0636, 2.54755385942411, 6.9416 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1080, '2023-04-30 00:00:00', 0.265196153818262, 0.659599999999998, 0.271208406949337, 0.789600000000002, 0.339503068223739, 1.0004, 0.608986316211895, 2.0832, 2.4970632751294, 6.942 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1095, '2023-04-30 00:00:00', 0.155168725371234, 0.507600000000002, 0.170318329410939, 0.665999999999999, 0.26496855159308, 0.909999999999998, 0.845301129775657, 2.1856, 2.44921368334138, 6.8868 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1110, '2023-04-30 00:00:00', 0.143575763971497, 0.4716, 0.234469614236044, 0.6448, 0.328363112016759, 0.901599999999999, 0.908090120344155, 2.2912, 2.41531109107433, 6.8888 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1125, '2023-04-30 00:00:00', 0.164172673324969, 0.448799999999998, 0.167582815348115, 0.634399999999997, 0.272391874572889, 0.871599999999998, 0.94980927910116, 2.3072, 2.40174048001305, 6.9164 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1140, '2023-04-30 00:00:00', 0.140204612382523, 0.4336, 0.246490026843544, 0.636400000000003, 0.337260038150581, 0.911200000000004, 0.986488215844468, 2.3356, 2.45109206953417, 6.9276 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1155, '2023-04-30 00:00:00', 0.194296165685273, 0.484800000000004, 0.247956313356473, 0.663600000000001, 0.373381842086623, 0.9384, 1.02751853186857, 3.1012, 2.42864962479152, 6.9484 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1170, '2023-04-30 00:00:00', 0.147847894810849, 0.425599999999998, 0.292513817337456, 0.603200000000001, 0.412997175131581, 0.901999999999999, 1.18398338952312, 3.316, 2.44195973212773, 6.9356 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1185, '2023-04-30 00:00:00', 0.232611980201649, 0.424000000000001, 0.233335952366254, 0.6396, 0.46007499388687, 1.0024, 1.32292945138179, 3.4156, 2.40098819933238, 6.9212 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1200, '2023-04-30 00:00:00', 0.128234160815287, 0.442400000000002, 0.273820500815165, 0.651199999999999, 0.40908556562167, 1.0048, 1.58336140325995, 3.552, 2.36040370840809, 6.9216 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1215, '2023-04-30 00:00:00', 0.276129196814341, 0.521599999999996, 0.383041338065053, 0.780399999999999, 0.431409704727808, 1.0768, 1.69580040099063, 3.5716, 2.34360953801325, 6.9016 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1230, '2023-04-30 00:00:00', 0.241298570240274, 0.538000000000001, 0.314402608131674, 0.723599999999997, 0.408112321140475, 1.0916, 1.74572983782333, 3.6032, 2.32043365199984, 6.8796 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1245, '2023-04-30 00:00:00', 0.16432893841317, 0.4396, 0.364027013649624, 0.686399999999999, 0.442290251607096, 1.0396, 1.76262947514974, 3.6272, 2.26399484687281, 6.8832 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1260, '2023-04-30 00:00:00', 0.246997300929918, 0.500799999999999, 0.35976288487465, 0.742799999999999, 0.461290580870671, 1.0184, 1.74501547271077, 3.5604, 2.20215901635948, 6.8572 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1275, '2023-04-30 00:00:00', 0.206742190501437, 0.474400000000002, 0.281568819296456, 0.676800000000004, 0.892062217561085, 1.144, 1.76072305223356, 3.5596, 2.20187367182286, 6.8568 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1290, '2023-04-30 00:00:00', 0.210574610688631, 0.456000000000001, 0.330555088701819, 0.644000000000005, 0.929295790729015, 1.18640000000001, 1.78824700009068, 3.5224, 2.22384112142332, 6.8188 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1305, '2023-04-30 00:00:00', 0.209946818662885, 0.461200000000004, 0.920982265482531, 0.878000000000004, 0.962301408083768, 1.2364, 1.79408128764186, 3.5412, 2.22403709501438, 6.8092 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 930, '2023-04-30 00:00:00', 2.33826859021797, 2.30000000000001, 2.26453821635522, 2.53666666666667, 1.94115944734068, 2.89000000000001, 3.01347529164141, 3.79666666666667, 1.28254954420222, 6.16333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 945, '2023-04-30 00:00:00', 0.869041617722276, 1.47666666666667, 0.912432645916041, 2.05666666666667, 1.06105293615979, 2.41666666666667, 2.15446822518536, 3.27333333333333, 1.39947609244794, 6.39666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 960, '2023-04-30 00:00:00', 0.243378991150286, 0.986666666666669, 0.27592269448765, 1.63333333333334, 0.600083327547089, 2.01000000000001, 2.17330010199543, 3.25666666666666, 1.39947609244794, 6.39666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 975, '2023-04-30 00:00:00', 0.230651251893405, 1.22, 0.362950869035083, 1.36666666666666, 1.27868421955278, 2.23666666666666, 2.30501626892306, 3.14999999999999, 1.51582760673282, 6.50333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 990, '2023-04-30 00:00:00', 0.720115731439514, 1.408, 0.993900229734692, 1.7228, 1.61267717372903, 2.2388, 1.7755606626265, 3.0564, 2.2423802829434, 6.7988 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1005, '2023-04-30 00:00:00', 0.444583325523276, 0.977199999999999, 0.707874047176945, 1.4824, 1.15631786287336, 1.9272, 1.30488722373494, 2.7116, 2.04121026191163, 6.5032 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1020, '2023-04-30 00:00:00', 0.516574615455828, 1.1208, 0.799129734982586, 1.458, 1.01545556278943, 1.8, 1.1247221879202, 2.522, 1.99214055729007, 6.3964 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1035, '2023-04-30 00:00:00', 0.376827989052477, 0.779199999999998, 0.505099000196993, 1.018, 0.637347890349796, 1.4004, 0.846748683691529, 2.188, 1.89740832013917, 6.286 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1050, '2023-04-30 00:00:00', 0.261884198326922, 0.703999999999997, 0.478672817973474, 1.0288, 0.540508094296469, 1.2836, 0.837486318296206, 2.114, 1.8731279543409, 6.274 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1065, '2023-04-30 00:00:00', 0.369475754730037, 0.700400000000002, 0.401652835169875, 0.932, 0.466886138867565, 1.2308, 0.837978718902419, 2.042, 1.93990360585262, 6.2848 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1080, '2023-04-30 00:00:00', 0.198892768428951, 0.626, 0.396684173283145, 0.893999999999999, 0.431122565712663, 1.134, 0.906421535489974, 1.992, 2.05663616941192, 6.3224 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1095, '2023-04-30 00:00:00', 0.22585614890899, 0.591199999999999, 0.306309756074905, 0.824399999999999, 0.646533835154823, 1.2068, 0.914656037353206, 2.0896, 2.06475155890485, 6.3436 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1110, '2023-04-30 00:00:00', 0.259790300049866, 0.5708, 0.354911726114161, 0.8396, 0.653567900068541, 1.2048, 0.907271550676349, 2.116, 2.06872142477747, 6.358 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1125, '2023-04-30 00:00:00', 0.246827875249133, 0.5564, 0.650503138603756, 0.8628, 0.589284311686646, 1.0768, 0.867687155603908, 2.0768, 2.15874793958597, 6.6148 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1140, '2023-04-30 00:00:00', 0.257174939049989, 0.515416666666667, 0.307787511400179, 0.708750000000002, 0.4371912989574, 0.938333333333334, 0.824959814568063, 1.9575, 2.25508985488898, 6.50958333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1155, '2023-04-30 00:00:00', 0.170739546542748, 0.480416666666664, 0.211936806961244, 0.647083333333331, 0.468933225060046, 0.918749999999996, 1.22141037211146, 2.83458333333333, 2.29697516911616, 6.52416666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1170, '2023-04-30 00:00:00', 0.133768537927014, 0.436249999999996, 0.339024335409713, 0.643749999999999, 0.429007744600881, 0.959583333333334, 1.22591935333021, 3.06, 2.29745475898117, 6.49875 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1185, '2023-04-30 00:00:00', 0.256446946232324, 0.434583333333335, 0.281014917856635, 0.620416666666667, 0.468948098237512, 0.985833333333335, 1.25485029998096, 3.24333333333334, 2.31110363246653, 6.51 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1200, '2023-04-30 00:00:00', 0.162627319130384, 0.440416666666664, 0.286739542472591, 0.6825, 0.495182589659056, 0.936666666666667, 1.34806463527145, 3.34, 2.33164520973024, 6.53291666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1215, '2023-04-30 00:00:00', 0.229951160536064, 0.495833333333331, 0.371474734350624, 0.707499999999997, 0.549679583873675, 0.917916666666667, 1.41370921051115, 3.45208333333334, 2.3715353065356, 6.55666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1230, '2023-04-30 00:00:00', 0.251427446531929, 0.47375, 0.350334984620831, 0.602916666666669, 0.457006445582936, 0.878750000000001, 1.38493440173224, 3.49458333333334, 2.37096564287847, 6.53458333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1245, '2023-04-30 00:00:00', 0.267995443937049, 0.407083333333336, 0.302937311159847, 0.626666666666669, 0.371650987516168, 0.838750000000001, 1.49653488655182, 3.55416666666667, 2.39484349432668, 6.51333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1260, '2023-04-30 00:00:00', 0.171166077500647, 0.407499999999999, 0.245276758796663, 0.572916666666668, 0.361791035852445, 0.816666666666664, 1.48628799118933, 3.54541666666667, 2.4097801932355, 6.51333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1275, '2023-04-30 00:00:00', 0.172290620670465, 0.418333333333335, 0.250676981941626, 0.577083333333334, 0.488606418177304, 1.02666666666666, 1.43639185390722, 3.55958333333334, 2.36223595257802, 6.5975 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1290, '2023-04-30 00:00:00', 0.239722061284871, 0.436666666666667, 0.318021225706709, 0.633749999999998, 0.496462850895049, 1.05833333333333, 1.46906500630627, 3.58291666666667, 2.33858544510522, 6.60083333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1305, '2023-04-30 00:00:00', 0.232060711696406, 0.484999999999999, 0.520156052392525, 0.856666666666666, 0.512566008474494, 1.0775, 1.45873356826681, 3.58083333333334, 2.34574819651413, 6.61291666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1320, '2023-04-30 00:00:00', 0.195739712597415, 0.441578947368422, 0.27219059369906, 0.568947368421053, 0.398880010978109, 0.919473684210528, 1.31013659392326, 2.96368421052632, 3.41926807256272, 8.12947368421053 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1335, '2023-04-30 00:00:00', 0.124524827839827, 0.342105263157896, 0.12265818048449, 0.513157894736844, 1.40310057660532, 2.00368421052631, 1.29799012422017, 2.93684210526316, 3.46115967788102, 8.15473684210527 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1350, '2023-04-30 00:00:00', 0.110871085774506, 0.415789473684214, 0.2968026496942, 0.711578947368423, 1.36678005520209, 2.19105263157895, 1.30632581483446, 3.02736842105263, 3.48640408591609, 8.21631578947368 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 1, 1365, '2023-04-30 00:00:00', 0.213601804753967, 0.564210526315792, 1.39284428586916, 1.93473684210526, 1.36995774041622, 2.36210526315789, 1.30714903377205, 3.03052631578947, 3.51409600896645, 8.29473684210526 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1320, '2023-04-30 00:00:00', 0.229077890338413, 0.426956521739135, 0.294477496674077, 0.575217391304349, 0.417287968927764, 0.942608695652172, 0.930189321543219, 3.12608695652174, 3.65382846485613, 8.43478260869565 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1335, '2023-04-30 00:00:00', 0.175937915747652, 0.387826086956521, 0.291367228184778, 0.603043478260868, 0.696640158102752, 1.96434782608696, 0.947737267840485, 3.13173913043478, 3.65270131238106, 8.42217391304348 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1350, '2023-04-30 00:00:00', 0.164751579670583, 0.443913043478261, 0.259094653603068, 0.728695652173911, 0.693432203855488, 2.09130434782609, 0.929355678028914, 3.06739130434783, 3.65114839262666, 8.42130434782609 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 2, 1365, '2023-04-30 00:00:00', 0.223559066303477, 0.578260869565214, 0.624363074670391, 1.81739130434782, 0.685767219865386, 2.18304347826087, 0.915992301950839, 3.01652173913043, 3.64298741587903, 8.38869565217392 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1320, '2023-04-30 00:00:00', 0.499496584517517, 0.608260869565216, 0.487507170313135, 0.787826086956519, 0.55857137080644, 1.10260869565218, 1.91688100995448, 3.75347826086957, 3.74706140461568, 8.42347826086957 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1335, '2023-04-30 00:00:00', 0.378121004535776, 0.528695652173914, 0.538343235060289, 0.769565217391306, 1.44249618956758, 2.8595652173913, 1.8797887990021, 3.72826086956522, 3.70639587142701, 8.38391304347826 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1350, '2023-04-30 00:00:00', 0.271757564592127, 0.496086956521739, 0.294643886349005, 0.758260869565219, 1.57204808382747, 2.91521739130435, 1.84442060056232, 3.69347826086956, 3.60143531992959, 8.3 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 3, 1365, '2023-04-30 00:00:00', 0.208781520542787, 0.594782608695656, 1.42909006678107, 2.64434782608696, 1.64623765567804, 2.98565217391304, 1.92239629366097, 3.67434782608695, 3.58770033250957, 8.30869565217392 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1320, '2023-04-30 00:00:00', 0.182878025728553, 0.475909090909092, 0.360455760084864, 0.739545454545456, 0.563338072164296, 1.05454545454546, 1.67136826028014, 3.49363636363636, 2.34540076786565, 6.87 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1335, '2023-04-30 00:00:00', 0.210258550381805, 0.490909090909092, 0.324173608022812, 0.681363636363637, 0.86592192443706, 2.31272727272727, 1.65194238288254, 3.41772727272727, 2.30385316240845, 6.81181818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1350, '2023-04-30 00:00:00', 0.217403011166058, 0.475454545454541, 0.315889454059719, 0.783636363636363, 1.09661669776553, 2.55590909090909, 1.64845250795881, 3.40363636363636, 2.28909536187499, 6.77363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 4, 1365, '2023-04-30 00:00:00', 0.241142662235003, 0.644545454545457, 0.822058576398485, 2.22227272727273, 1.30258525823777, 2.69954545454545, 1.6487066950291, 3.41363636363637, 2.29131264483126, 6.76772727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1320, '2023-04-30 00:00:00', 0.24930474753373, 0.541428571428572, 0.259152464777012, 0.700000000000002, 0.387434787139349, 1.00428571428571, 1.585967483003, 3.65857142857143, 2.52590295029039, 6.41571428571428 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1335, '2023-04-30 00:00:00', 0.155806656743912, 0.455714285714287, 0.245939404073831, 0.648095238095239, 0.971820334169215, 2.22619047619048, 1.59238784459661, 3.62904761904762, 2.59826022377979, 6.42190476190476 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1350, '2023-04-30 00:00:00', 0.172064495106308, 0.45809523809524, 0.32055086514133, 0.801428571428571, 1.06023806850385, 2.57619047619048, 1.60130854229254, 3.60238095238095, 2.60258122786188, 6.41761904761905 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247917028300, 5, 1365, '2023-04-30 00:00:00', 0.245705750420036, 0.6785, 0.922509592019737, 2.1735, 1.07127567831412, 2.85, 1.49311146338954, 3.6865, 2.26585966026142, 6.714 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247917028300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2023-04-30 16:00:57 Duration: 715ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 930, '2023-04-30 00:00:00', 0.308058436014995, 0.939999999999998, 0.439999999999998, 1.26999999999999, 0.306648550189503, 1.36666666666666, 0.556447062471638, 1.51333333333333, 0.490340018082702, 2.93333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 945, '2023-04-30 00:00:00', 0.341760149812705, 0.909999999999987, 0.21079215671682, 1.24666666666666, 0.441701256507148, 1.38, 0.580258563056149, 1.47999999999999, 0.490340018082702, 2.93333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 960, '2023-04-30 00:00:00', 0.0814452781524781, 0.676666666666667, 0.0503322295684824, 0.716666666666669, 0.182482875908944, 0.920000000000006, 0.135769412362767, 1.17333333333333, 0.635164020811428, 2.83333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 975, '2023-04-30 00:00:00', 0.126622799421476, 0.466666666666659, 0.166533279957289, 0.656666666666666, 0.233880311270523, 0.790000000000001, 0.111355287256599, 1.13000000000001, 0.635164020811428, 2.83333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 990, '2023-04-30 00:00:00', 0.437622710063859, 0.987727272727272, 0.434740555560845, 1.13227272727273, 0.434780135509623, 1.26636363636363, 0.673724544531937, 1.64, 2.50511602067774, 4.62409090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1005, '2023-04-30 00:00:00', 0.163725564912936, 0.601818181818182, 0.287715663512265, 0.822272727272725, 0.284542999588323, 0.951363636363635, 0.61505235056814, 1.41318181818182, 2.51019346109443, 4.50045454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1020, '2023-04-30 00:00:00', 0.227421553003586, 0.57409090909091, 0.227594706988873, 0.662272727272726, 0.243181029249841, 0.806818181818182, 0.554525849486676, 1.30681818181818, 2.51627189358071, 4.48363636363637 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1035, '2023-04-30 00:00:00', 0.127890815174745, 0.41318181818182, 0.220080662111643, 0.554545454545455, 0.358550472818603, 0.798181818181818, 0.563962480714524, 1.28818181818182, 2.51644478824678, 4.47909090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1050, '2023-04-30 00:00:00', 0.106665313844233, 0.391818181818183, 0.121103333215965, 0.522272727272724, 0.280453019423751, 0.744090909090908, 0.480316679446084, 1.23227272727273, 2.51699023177283, 4.47272727272728 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1065, '2023-04-30 00:00:00', 0.104277560020406, 0.384999999999999, 0.236575496127483, 0.571818181818181, 0.276537026947076, 0.711818181818182, 0.484364179113876, 1.21090909090909, 2.49876787819335, 4.49136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1080, '2023-04-30 00:00:00', 0.159886323253855, 0.432727272727269, 0.21227075742757, 0.527272727272727, 0.265149226953638, 0.707727272727274, 0.474559034321627, 1.19590909090909, 2.49955931180813, 4.50590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1095, '2023-04-30 00:00:00', 0.116607901093377, 0.364545454545456, 0.118935574979361, 0.488636363636364, 0.243048816645395, 0.691818181818183, 0.488697358520699, 1.20818181818182, 2.48884507021827, 4.51545454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1110, '2023-04-30 00:00:00', 0.105166328784249, 0.338636363636364, 0.137639343011324, 0.447272727272731, 0.234504174359878, 0.66727272727273, 0.499736943788444, 1.17681818181818, 2.48113352987573, 4.52954545454546 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1125, '2023-04-30 00:00:00', 0.0816231441586134, 0.303636363636364, 0.199436978078557, 0.493181818181819, 0.283532143134556, 0.690000000000002, 0.510662925398566, 1.19363636363636, 2.42461421932524, 4.82727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1140, '2023-04-30 00:00:00', 0.146254833049977, 0.370000000000002, 0.169379437770333, 0.486818181818186, 0.319593898158681, 0.65545454545455, 0.579270327700385, 1.24272727272727, 2.43337975108429, 4.80318181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1155, '2023-04-30 00:00:00', 0.110869253366258, 0.345909090909092, 0.198431621031297, 0.493181818181818, 0.244067267712881, 0.634545454545454, 2.69949666624767, 2.38181818181818, 2.45073030020217, 4.76863636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1170, '2023-04-30 00:00:00', 0.139962889330027, 0.310909090909092, 0.183556141664767, 0.425, 0.231714856864584, 0.568181818181821, 2.68236069059679, 2.44272727272728, 2.46034018166672, 4.755 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1185, '2023-04-30 00:00:00', 0.126289881618181, 0.33590909090909, 0.141210750973417, 0.435000000000002, 0.263901792044228, 0.568181818181821, 2.73137977912913, 2.47454545454546, 2.47377802270691, 4.73590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1200, '2023-04-30 00:00:00', 0.0918166816559108, 0.312727272727275, 0.159534631667542, 0.406818181818183, 0.223106753319173, 0.536363636363638, 2.71637797579043, 2.48045454545455, 2.46533683586761, 4.76 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1215, '2023-04-30 00:00:00', 0.124324146916412, 0.302272727272725, 0.182718765281914, 0.383636363636361, 0.231520477715754, 0.562727272727273, 2.79478348331579, 2.57636363636364, 2.45969277108718, 4.78136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1230, '2023-04-30 00:00:00', 0.11029378320975, 0.281363636363631, 0.178793455045477, 0.403636363636363, 0.220997345775526, 0.597272727272728, 2.90325347428204, 2.64045454545455, 2.46060075197218, 4.77681818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1245, '2023-04-30 00:00:00', 0.133021008658739, 0.297727272727273, 0.178820086613957, 0.446363636363637, 0.190674923382511, 0.590454545454545, 2.89085211901716, 2.66545454545454, 2.47545076572056, 4.79772727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1260, '2023-04-30 00:00:00', 0.122372824700207, 0.313181818181818, 0.16802455499793, 0.446818181818184, 0.205453779257657, 0.587272727272729, 2.88551964004295, 2.69045454545455, 2.48372490303161, 4.79681818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1275, '2023-04-30 00:00:00', 0.117610590859211, 0.31681818181818, 0.148977031263738, 0.426818181818179, 0.214043730612975, 0.633636363636365, 2.88934600668047, 2.68818181818182, 2.49975046373681, 4.8 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1290, '2023-04-30 00:00:00', 0.111325154584623, 0.288636363636365, 0.170487586985139, 0.412272727272732, 0.242917423127439, 0.657727272727277, 2.88950242125253, 2.68363636363636, 2.50999853400209, 4.80545454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1305, '2023-04-30 00:00:00', 0.15650678034632, 0.320909090909095, 0.256153701153665, 0.506363636363638, 0.289620217059984, 0.736818181818181, 2.88259563167601, 2.68636363636364, 2.5143316050023, 4.80409090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 930, '2023-04-30 00:00:00', 0.200083315979455, 0.753333333333349, 0.207444771766686, 1.01666666666668, 0.487886598845808, 1.18333333333335, 0.359999999999999, 1.67000000000001, 1.07276900278361, 3.56666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 945, '2023-04-30 00:00:00', 0.0461880215351773, 0.733333333333348, 0.17097758137643, 0.876666666666675, 0.271538824725547, 0.993333333333339, 0.174737898961085, 1.50333333333334, 1.07276900278361, 3.56666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 960, '2023-04-30 00:00:00', 0.00577350269190742, 0.546666666666672, 0.135769412362782, 0.676666666666677, 0.115902257671434, 0.906666666666657, 0.268514431641952, 1.36, 1.07276900278361, 3.56666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 975, '2023-04-30 00:00:00', 0.112398102000583, 0.563333333333333, 0.073711147958312, 0.633333333333335, 0.0230940107675886, 0.946666666666658, 0.312143129562911, 1.38666666666667, 1.07276900278361, 3.56666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 990, '2023-04-30 00:00:00', 2.63729371778082, 1.61307692307693, 2.59218066796754, 1.77384615384615, 2.60009490951033, 1.97846153846154, 2.69273952580753, 2.53307692307692, 2.5195718806056, 5.06230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1005, '2023-04-30 00:00:00', 0.342239682094292, 0.679999999999998, 0.387752696761939, 0.901923076923075, 0.55022526855266, 1.13038461538461, 0.668879315318948, 1.65653846153846, 1.54331596047152, 4.37192307692307 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1020, '2023-04-30 00:00:00', 0.311319771296335, 0.579999999999998, 0.383148093481439, 0.737692307692307, 0.605615770549666, 1.04769230769231, 0.616389986440906, 1.52615384615385, 1.51473912453089, 4.30115384615384 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1035, '2023-04-30 00:00:00', 0.223324875461735, 0.454999999999999, 0.410622229530516, 0.681153846153844, 0.491764171122704, 0.919999999999999, 0.553309483576224, 1.40923076923077, 1.49776017388016, 4.25846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1050, '2023-04-30 00:00:00', 0.264129630178931, 0.487307692307691, 0.354952867943814, 0.66346153846154, 0.360292402618509, 0.838846153846154, 0.55659638739534, 1.37653846153846, 1.49407985575892, 4.22115384615384 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1065, '2023-04-30 00:00:00', 0.231624364335545, 0.474615384615389, 0.309102920375422, 0.653846153846156, 0.354435629394982, 0.793846153846157, 0.53958174685442, 1.35269230769231, 1.44295300845709, 4.32423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1080, '2023-04-30 00:00:00', 0.225180952876708, 0.452307692307694, 0.278467509498245, 0.581923076923079, 0.322154525750514, 0.686538461538466, 0.472454800442904, 1.29153846153846, 1.41374178906681, 4.32461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1095, '2023-04-30 00:00:00', 0.20343095596825, 0.401923076923076, 0.235940344481072, 0.499615384615386, 0.30372381178655, 0.651923076923078, 0.435102993996382, 1.31884615384616, 1.43044097557899, 4.34423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1110, '2023-04-30 00:00:00', 0.139291062168393, 0.375000000000002, 0.230053171111508, 0.492692307692312, 0.280065102321696, 0.667307692307695, 0.442828843477234, 1.31423076923077, 1.50136553228668, 4.31769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1125, '2023-04-30 00:00:00', 0.161858437673643, 0.356923076923079, 0.193797674035414, 0.471538461538461, 0.240188707862412, 0.671153846153845, 0.42795776211426, 1.29038461538462, 1.52992227052427, 4.45307692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1140, '2023-04-30 00:00:00', 0.12659323107436, 0.335384615384614, 0.152347780272132, 0.464615384615384, 0.302688720533922, 0.667307692307692, 0.476743601465675, 1.27730769230769, 1.54511796910836, 4.43153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1155, '2023-04-30 00:00:00', 0.107414366608225, 0.355384615384616, 0.183357154629555, 0.489615384615383, 0.322841232711161, 0.727692307692308, 0.501310896933843, 1.76384615384615, 1.50715100565476, 4.48807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1170, '2023-04-30 00:00:00', 0.188197931812391, 0.347692307692304, 0.310194231955499, 0.482692307692305, 0.350826935199593, 0.693461538461535, 0.48653689875091, 1.78307692307692, 1.53496900494891, 4.49538461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1185, '2023-04-30 00:00:00', 0.290424887681164, 0.381153846153844, 0.31748458472572, 0.537307692307691, 0.36976416600523, 0.691538461538462, 0.526666877637087, 1.895, 1.54780246205336, 4.51730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1200, '2023-04-30 00:00:00', 0.173100682129927, 0.359615384615381, 0.275710271564473, 0.54807692307692, 0.340482237196239, 0.691923076923077, 0.554590493413487, 1.95115384615384, 1.55822250805698, 4.53576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1215, '2023-04-30 00:00:00', 0.225685962891257, 0.396923076923074, 0.309661105081026, 0.495, 0.322742335903759, 0.631153846153847, 0.652898036567616, 2.02961538461538, 1.59335678558, 4.53538461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1230, '2023-04-30 00:00:00', 0.168687695050764, 0.323461538461541, 0.197745757515513, 0.430769230769235, 0.321851614161646, 0.612692307692309, 0.680253911870696, 2.02576923076923, 1.60000192307577, 4.50307692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1245, '2023-04-30 00:00:00', 0.123999999999999, 0.320000000000003, 0.229023680334248, 0.470384615384615, 0.345912616800162, 0.653461538461541, 0.7012219005751, 2.06192307692307, 1.60742967306385, 4.50307692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1260, '2023-04-30 00:00:00', 0.209131905375897, 0.371923076923074, 0.300702766608741, 0.493076923076922, 0.295195632654788, 0.637307692307693, 0.710465611142007, 2.06423076923077, 1.59756256648876, 4.49307692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1275, '2023-04-30 00:00:00', 0.163684499524588, 0.316153846153843, 0.183593614770818, 0.438846153846156, 0.25638552701262, 0.62846153846154, 0.732250902775396, 2.04076923076923, 1.55038878498762, 4.44576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1290, '2023-04-30 00:00:00', 0.149877899022454, 0.339230769230773, 0.170276246141384, 0.415000000000004, 0.296297148146923, 0.62, 0.734085406894447, 2.02576923076923, 1.54740542149158, 4.44346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1305, '2023-04-30 00:00:00', 0.122562385998066, 0.271538461538464, 0.237552909086344, 0.480769230769231, 0.240100299554486, 0.621923076923075, 0.747550667179154, 2.03, 1.54880902135008, 4.44576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 930, '2023-04-30 00:00:00', 0.0360555127546347, 0.599999999999994, 0.0288675134594879, 0.646666666666666, 0.112694276695835, 0.73999999999999, 0.365923489270635, 1.22, 0.321869538788628, 4.84 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 945, '2023-04-30 00:00:00', 0.123423390543826, 0.433333333333328, 0.161658075373091, 0.633333333333335, 0.191572440606672, 0.779999999999992, 0.514813882226707, 1.32666666666666, 0.419046536795133, 4.9 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 960, '2023-04-30 00:00:00', 0.136137185711075, 0.613333333333335, 0.175594229214196, 0.643333333333326, 0.180277563773193, 0.759999999999991, 0.516430053347018, 1.33, 0.430038757943203, 4.90666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 975, '2023-04-30 00:00:00', 0.177857620959387, 0.436666666666658, 0.230072452356488, 0.623333333333335, 0.0964365076099332, 0.73999999999999, 0.840178552451802, 1.72000000000001, 0.430038757943203, 4.90666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 990, '2023-04-30 00:00:00', 0.561715641173058, 1.04730769230769, 0.572428027051301, 1.15461538461538, 0.627503478384476, 1.43384615384615, 0.812911954736704, 2.00538461538461, 1.59249257938133, 4.37615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1005, '2023-04-30 00:00:00', 0.227494716760296, 0.59461538461539, 0.44900162754545, 0.882307692307695, 0.524124471417301, 1.1323076923077, 0.729979135634397, 1.70846153846154, 1.61725503435724, 4.29461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1020, '2023-04-30 00:00:00', 0.37029634701869, 0.649230769230771, 0.377540216910223, 0.816153846153845, 0.476219891032901, 1.03576923076923, 0.662904564427237, 1.59230769230769, 1.5970066229813, 4.24692307692307 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1035, '2023-04-30 00:00:00', 0.207104952954929, 0.56269230769231, 0.328136228745603, 0.745769230769235, 0.44027421525157, 0.924230769230773, 0.594871931918641, 1.49615384615385, 1.54905370617528, 4.20923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1050, '2023-04-30 00:00:00', 0.189546827987175, 0.430000000000002, 0.232797039367907, 0.582307692307692, 0.333061324914564, 0.805384615384617, 0.59723735778873, 1.40269230769231, 1.52394205421839, 4.19076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1065, '2023-04-30 00:00:00', 0.138070216250228, 0.38923076923077, 0.226048327031735, 0.554615384615385, 0.315142214539112, 0.801153846153844, 0.591790633455917, 1.43807692307692, 1.50652529402544, 4.17769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1080, '2023-04-30 00:00:00', 0.139089898986234, 0.395000000000003, 0.217241446675915, 0.595384615384619, 0.254069645206555, 0.780769230769227, 0.565662579499613, 1.44307692307692, 1.47894374990552, 4.15884615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1095, '2023-04-30 00:00:00', 0.158411343805153, 0.423076923076923, 0.228876856376123, 0.573846153846152, 0.228601433470169, 0.741153846153842, 0.646856659903521, 1.46346153846154, 1.47024058732419, 4.13076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1110, '2023-04-30 00:00:00', 0.149231879456613, 0.373076923076923, 0.15654539769173, 0.517692307692304, 0.185173930712139, 0.675769230769227, 0.657735626103799, 1.44192307692307, 1.47378701101826, 4.13807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1125, '2023-04-30 00:00:00', 0.118209722364693, 0.378461538461536, 0.145847127552737, 0.489230769230768, 0.248562946678578, 0.623461538461537, 0.693504478383856, 1.43269230769231, 2.61305388681225, 4.81115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1140, '2023-04-30 00:00:00', 0.12362287565259, 0.328846153846155, 0.203238397341263, 0.424615384615387, 0.200942395113241, 0.615384615384618, 0.692359733086782, 1.435, 2.62620287458177, 4.83846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1155, '2023-04-30 00:00:00', 0.122653357694954, 0.310384615384616, 0.144720420121005, 0.429999999999997, 0.327575710567566, 0.675384615384617, 0.748035786885586, 1.96153846153846, 2.62841996995562, 4.87653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1170, '2023-04-30 00:00:00', 0.0950692055618092, 0.306923076923075, 0.121422973368047, 0.433461538461541, 0.318398879008466, 0.635384615384617, 0.75927627484234, 2.00730769230769, 2.62358122830959, 4.88230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1185, '2023-04-30 00:00:00', 0.0979670274201369, 0.288461538461541, 0.291698474456073, 0.480000000000005, 0.322598106723427, 0.641538461538467, 0.818193225250705, 2.08807692307693, 2.67087562709023, 4.92615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1200, '2023-04-30 00:00:00', 0.254314463123605, 0.370384615384617, 0.255186206523788, 0.459999999999999, 0.422182607228385, 0.673076923076923, 0.819513176314966, 2.09538461538462, 2.72496901887822, 4.98192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1215, '2023-04-30 00:00:00', 0.144354265077805, 0.286923076923075, 0.300659019744699, 0.489615384615385, 0.463594816457379, 0.758076923076924, 0.799362534485111, 2.12269230769231, 2.72648976919747, 4.99769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1230, '2023-04-30 00:00:00', 0.306985592245225, 0.388076923076925, 0.419934976651605, 0.524230769230771, 0.525971043367919, 0.781538461538464, 0.797707098742774, 2.15384615384615, 2.72619599724316, 5.00615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1245, '2023-04-30 00:00:00', 0.304709950356327, 0.391923076923082, 0.391110450659892, 0.589230769230773, 0.548621349033544, 0.814230769230773, 0.742094437282854, 2.14807692307692, 2.72206380979862, 5.01076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1260, '2023-04-30 00:00:00', 0.238668099121898, 0.45769230769231, 0.310521397751486, 0.576538461538465, 0.485752865306882, 0.790384615384618, 0.709912779041306, 2.13192307692308, 2.7104906453374, 4.99653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1275, '2023-04-30 00:00:00', 0.202542683060976, 0.383461538461542, 0.352017700603905, 0.577307692307695, 0.521131313733732, 0.805384615384615, 0.740113920545084, 2.12615384615385, 2.69471025986383, 5.00076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1290, '2023-04-30 00:00:00', 0.338662754873429, 0.42269230769231, 0.403951253723285, 0.543846153846156, 0.493216132994609, 0.786923076923075, 0.759258443888102, 2.11576923076923, 2.70063855696845, 4.99615384615384 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1305, '2023-04-30 00:00:00', 0.190248420593866, 0.392307692307692, 0.343781012587063, 0.585769230769229, 0.381365360856937, 0.773461538461536, 0.721487779095817, 2.15615384615384, 2.70620722385806, 5.00846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 930, '2023-04-30 00:00:00', 0.259293913027915, 0.873333333333335, 0.208406653764525, 0.943333333333337, 0.342393535764515, 1.26666666666667, 0.241729876790888, 1.85333333333333, 0.602245796996548, 5.04999999999999 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 945, '2023-04-30 00:00:00', 0.167729941672133, 0.606666666666664, 0.30265491900844, 0.920000000000006, 0.339558536926997, 0.979999999999999, 0.289309522829783, 1.7, 0.540401085614505, 4.98333333333332 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 960, '2023-04-30 00:00:00', 0.277308492477251, 0.780000000000011, 0.321403173599768, 0.840000000000003, 0.176162803489655, 1.00666666666667, 0.358096821171774, 1.62333333333333, 0.535194668633143, 4.97666666666666 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 975, '2023-04-30 00:00:00', 0.165227116418589, 0.479999999999999, 0.370720020140979, 0.713333333333329, 0.178978583448795, 1.02666666666666, 0.328684245642119, 1.54333333333333, 0.535194668633143, 4.97666666666666 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 990, '2023-04-30 00:00:00', 0.412939866485826, 1.1112, 0.383269704864166, 1.2204, 0.489095423545682, 1.3868, 0.61804314843976, 1.8124, 2.73743687902875, 4.9276 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1005, '2023-04-30 00:00:00', 0.170587221092318, 0.550000000000003, 0.290674502952474, 0.816000000000007, 0.353094888096667, 0.964800000000005, 0.530797513181817, 1.4972, 2.77147626124899, 4.7784 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1020, '2023-04-30 00:00:00', 0.233046490354754, 0.577600000000001, 0.222842994056357, 0.675600000000001, 0.303753189283671, 0.8692, 0.481555465825766, 1.3904, 2.76460967709127, 4.744 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1035, '2023-04-30 00:00:00', 0.156197524521569, 0.446799999999997, 0.285652469503297, 0.611599999999996, 0.350552896626648, 0.849599999999998, 0.468955221742974, 1.3424, 2.76804834977041, 4.758 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1050, '2023-04-30 00:00:00', 0.179274463695566, 0.443200000000002, 0.227908607413881, 0.585600000000002, 0.239104579629922, 0.827200000000003, 0.432801725196813, 1.2756, 2.78118380071029, 4.74 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1065, '2023-04-30 00:00:00', 0.162349417409899, 0.416399999999998, 0.195041021326284, 0.579200000000001, 0.302215706629111, 0.825199999999997, 0.411433267168976, 1.2276, 2.77525422258935, 4.7412 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1080, '2023-04-30 00:00:00', 0.136495421168622, 0.396800000000004, 0.181888244076776, 0.568000000000001, 0.361668817197909, 0.772799999999999, 0.427473196040796, 1.212, 2.77241062374726, 4.7324 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1095, '2023-04-30 00:00:00', 0.118733595358123, 0.393199999999998, 0.229250954196484, 0.5532, 0.298621834432781, 0.726000000000001, 0.448516814995083, 1.2556, 2.77255946735142, 4.7188 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1110, '2023-04-30 00:00:00', 0.127517319085159, 0.362399999999997, 0.200700440125742, 0.488399999999998, 0.205284355630591, 0.707999999999995, 0.462530359363937, 1.2548, 2.76817978703215, 4.7112 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1125, '2023-04-30 00:00:00', 0.129612242220142, 0.339200000000003, 0.189831504234672, 0.481200000000001, 0.233225213045243, 0.677599999999999, 0.515393700647056, 1.3084, 2.69335243392567, 4.8084 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1140, '2023-04-30 00:00:00', 0.117383985279081, 0.330400000000002, 0.18008516503773, 0.488399999999999, 0.254991503126409, 0.639600000000002, 0.486376740123673, 1.3196, 2.6910112721181, 4.814 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1155, '2023-04-30 00:00:00', 0.120957292738663, 0.341600000000001, 0.162545378279422, 0.452800000000001, 0.222869917216293, 0.607199999999999, 0.732771451408966, 1.9496, 2.67640386837762, 4.8772 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1170, '2023-04-30 00:00:00', 0.0986204846875128, 0.314800000000002, 0.157920866259019, 0.401600000000001, 0.186080627685957, 0.605199999999999, 0.688813714536329, 2.0168, 2.68063580766455, 4.876 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1185, '2023-04-30 00:00:00', 0.112691318801994, 0.2808, 0.132444957120555, 0.414, 0.236619948440529, 0.631600000000001, 0.686782838069406, 2.0596, 2.69095138070783, 4.9188 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1200, '2023-04-30 00:00:00', 0.0947663794109861, 0.3016, 0.170701493842322, 0.448400000000001, 0.232545336081664, 0.597600000000001, 0.68903313901921, 2.056, 2.69264411561078, 4.9464 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1215, '2023-04-30 00:00:00', 0.145426957611031, 0.323600000000001, 0.206528448403604, 0.449600000000003, 0.227139457896099, 0.595600000000001, 0.720863371243124, 2.0676, 2.67723999671304, 4.9684 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1230, '2023-04-30 00:00:00', 0.126967187362198, 0.320400000000001, 0.145083883782226, 0.419200000000002, 0.168757222067682, 0.579600000000003, 0.722353099252715, 2.1076, 2.68553675578397, 4.9992 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1245, '2023-04-30 00:00:00', 0.0900925450115998, 0.308000000000003, 0.144231295725537, 0.441200000000001, 0.194342481202647, 0.582399999999999, 0.73877533797495, 2.1116, 2.69631334727006, 5.0184 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1260, '2023-04-30 00:00:00', 0.120840114752233, 0.332399999999999, 0.170525657893471, 0.4196, 0.29052653349852, 0.638399999999997, 0.721038140461378, 2.1228, 2.7030921799549, 5.0264 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1275, '2023-04-30 00:00:00', 0.10373523991393, 0.288800000000002, 0.162082283629848, 0.409599999999999, 0.404816007588635, 0.7048, 0.737040704439044, 2.1504, 2.7030921799549, 5.0264 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1290, '2023-04-30 00:00:00', 0.100990098524557, 0.306399999999999, 0.194947001344808, 0.457199999999998, 0.355716647534714, 0.695199999999998, 0.728954045190781, 2.1364, 2.7002081401255, 5.0136 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1305, '2023-04-30 00:00:00', 0.136440463206481, 0.350799999999998, 0.31059727408119, 0.5496, 0.365179407962716, 0.736799999999996, 0.736941879209843, 2.13, 2.70190364989823, 5.022 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 930, '2023-04-30 00:00:00', 0.168027775481704, 0.836666666666664, 0.185022521151701, 0.903333333333327, 0.274043792120871, 1.09999999999999, 1.29167849456951, 1.97666666666666, 0.737586153159986, 4.51666666666665 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 945, '2023-04-30 00:00:00', 0.102632028788935, 0.683333333333328, 0.257746645629639, 0.966666666666659, 0.297040962382854, 1.10666666666666, 1.29881997726142, 1.96666666666666, 0.750821772016067, 4.50666666666665 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 960, '2023-04-30 00:00:00', 0.0208166599946469, 0.513333333333331, 0.173493515728964, 0.629999999999995, 0.109696551146036, 0.866666666666665, 1.29881997726142, 1.96666666666666, 0.750821772016067, 4.50666666666665 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 975, '2023-04-30 00:00:00', 0.0750555349946487, 0.553333333333323, 0.0611010092660657, 0.793333333333332, 0.141774468787573, 1.03, 1.29881997726142, 1.96666666666666, 0.750821772016067, 4.50666666666665 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 990, '2023-04-30 00:00:00', 0.69550509224112, 1.2876, 0.684505174073453, 1.40159999999999, 0.658744259937038, 1.5324, 0.709095668204698, 1.99599999999999, 2.6837037218491, 4.9336 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1005, '2023-04-30 00:00:00', 0.252438111227286, 0.633999999999999, 0.348935046486686, 0.8816, 0.412378466945111, 1.0432, 0.661963745230808, 1.5972, 2.65964201851803, 4.8104 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1020, '2023-04-30 00:00:00', 0.21696773953747, 0.648000000000001, 0.275470506588276, 0.764399999999999, 0.430060848407914, 0.9624, 0.619162606536709, 1.5196, 2.65797855521823, 4.8 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1035, '2023-04-30 00:00:00', 0.159491901570791, 0.462800000000002, 0.237954477439139, 0.621600000000001, 0.409089232319798, 0.8396, 0.577945499160608, 1.4072, 2.63811725794489, 4.8028 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1050, '2023-04-30 00:00:00', 0.149530375955297, 0.424799999999998, 0.283254891102226, 0.571999999999999, 0.316911133705754, 0.7508, 0.597623906259897, 1.3828, 2.57060284758265, 4.7936 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1065, '2023-04-30 00:00:00', 0.175011428198278, 0.410400000000001, 0.227854485728651, 0.5552, 0.316556998553709, 0.751999999999998, 0.619118459316686, 1.3608, 2.55726253377839, 4.874 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1080, '2023-04-30 00:00:00', 0.133026313186533, 0.3828, 0.157763536133462, 0.503200000000002, 0.278249288708284, 0.686800000000001, 0.636064200114004, 1.3812, 2.54761901913663, 4.8828 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1095, '2023-04-30 00:00:00', 0.12625767303416, 0.369200000000001, 0.255605816313582, 0.544799999999998, 0.509174167975298, 0.758000000000002, 0.794814863139003, 1.5616, 2.52735184201435, 4.8936 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1110, '2023-04-30 00:00:00', 0.164096516314838, 0.408799999999997, 0.182786761008557, 0.4912, 0.480559396259542, 0.759599999999998, 0.885075326361173, 1.578, 2.53875113654989, 4.8936 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1125, '2023-04-30 00:00:00', 0.0904580934282147, 0.300800000000002, 0.441311303579085, 0.511600000000002, 0.441111474950874, 0.687200000000001, 0.849752512990304, 1.5428, 2.58056195430375, 5.098 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1140, '2023-04-30 00:00:00', 0.167816324714196, 0.356666666666667, 0.215654967986806, 0.491249999999998, 0.251895711109501, 0.604166666666667, 0.876719428621118, 1.5025, 2.70459941045148, 5.13833333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1155, '2023-04-30 00:00:00', 0.126109568187371, 0.305833333333332, 0.185080769677315, 0.428750000000001, 0.229957462985241, 0.5875, 0.830930921107269, 1.95125, 2.70641374559007, 5.14833333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1170, '2023-04-30 00:00:00', 0.131710458686983, 0.337916666666667, 0.172071774710942, 0.460000000000001, 0.213025139701698, 0.623333333333331, 0.816744931180289, 1.99125, 2.71266724589592, 5.13625 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1185, '2023-04-30 00:00:00', 0.136779071837591, 0.300416666666667, 0.197063588648474, 0.400833333333331, 0.292105983843363, 0.590416666666665, 0.821185075081271, 2.03333333333333, 2.71266564310907, 5.14375 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1200, '2023-04-30 00:00:00', 0.11849830305151, 0.293749999999998, 0.178258483547129, 0.422499999999996, 0.249654834184888, 0.588333333333333, 0.812282077798741, 2.0775, 2.68893623570924, 5.14708333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1215, '2023-04-30 00:00:00', 0.126793652975148, 0.316249999999995, 0.176238885968834, 0.43083333333333, 0.261583458569344, 0.647916666666665, 0.801102388107713, 2.12791666666666, 2.65636448602384, 5.14875 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1230, '2023-04-30 00:00:00', 0.100078773321641, 0.296250000000001, 0.128468543490872, 0.397916666666668, 0.253442601339856, 0.663750000000002, 0.778599518459216, 2.13541666666666, 2.64042596475689, 5.14333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1245, '2023-04-30 00:00:00', 0.0782311235740139, 0.296250000000003, 0.19853813564237, 0.485000000000002, 0.325849780896265, 0.647083333333335, 0.807190062563613, 2.14583333333333, 2.63834805034943, 5.1475 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1260, '2023-04-30 00:00:00', 0.179004898321775, 0.335833333333335, 0.204570954346703, 0.453333333333334, 0.320654900504252, 0.6425, 0.771932921167769, 2.1275, 2.63204664951391, 5.135 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1275, '2023-04-30 00:00:00', 0.0901166715583413, 0.310833333333335, 0.165445708946155, 0.40375, 0.636179578831121, 0.811249999999998, 0.766459841352303, 2.08458333333333, 2.65603646626791, 5.15416666666666 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1290, '2023-04-30 00:00:00', 0.124306044718762, 0.287916666666665, 0.203420033784597, 0.443333333333333, 0.752467920256069, 0.844166666666665, 0.755142754524034, 2.08333333333333, 2.64515416936521, 5.14833333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1305, '2023-04-30 00:00:00', 0.174154271107331, 0.339166666666666, 0.632464125121118, 0.652499999999996, 0.711332567607537, 0.878749999999997, 0.751001143402128, 2.08125, 2.64650052639932, 5.14208333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1320, '2023-04-30 00:00:00', 0.0886876376730394, 0.318947368421051, 0.153090960233657, 0.44578947368421, 0.420235940412093, 0.787368421052627, 3.07267612944991, 2.86947368421052, 2.64913943877665, 5.0121052631579 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1335, '2023-04-30 00:00:00', 0.11930598530105, 0.33684210526316, 0.21365792192741, 0.519473684210524, 2.94904008567205, 2.25473684210527, 3.06809310837162, 2.8778947368421, 2.65018503160711, 5.01842105263158 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1350, '2023-04-30 00:00:00', 0.161241528178558, 0.401052631578946, 0.400555170287993, 0.599999999999999, 2.92565702122583, 2.30368421052632, 3.07085259700212, 2.90368421052631, 2.65421027119983, 5.05105263157895 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 1, 1365, '2023-04-30 00:00:00', 0.265013516150948, 0.428947368421048, 2.98042002220693, 2.15421052631579, 2.98797326134728, 2.33210526315789, 3.07320479618562, 2.92894736842105, 2.65495773691321, 5.07684210526316 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1320, '2023-04-30 00:00:00', 0.11997364664512, 0.338695652173914, 0.133552849600313, 0.419999999999996, 0.289444745797128, 0.666521739130434, 0.683180194286699, 2.17521739130434, 1.61569525166259, 4.40434782608696 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1335, '2023-04-30 00:00:00', 0.10405038305282, 0.279130434782603, 0.16986625755148, 0.439999999999995, 0.492014894212036, 1.46826086956521, 0.696063181449188, 2.17695652173913, 1.61603819467249, 4.40608695652174 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1350, '2023-04-30 00:00:00', 0.0965123023553421, 0.316521739130435, 0.229371025183381, 0.477391304347829, 0.516009314497541, 1.52260869565217, 0.732535258631513, 2.16521739130435, 1.6298012682266, 4.40608695652174 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 2, 1365, '2023-04-30 00:00:00', 0.206544121940808, 0.391739130434788, 0.525398023410778, 1.39391304347826, 0.579761774710112, 1.64347826086957, 0.787893825234021, 2.17695652173913, 1.62625178298444, 4.38695652173913 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1320, '2023-04-30 00:00:00', 0.20319872863815, 0.36478260869565, 0.189440616119071, 0.47173913043478, 0.322938582494011, 0.704347826086956, 0.75608833162362, 2.17826086956522, 2.88288660510011, 5.00478260869565 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1335, '2023-04-30 00:00:00', 0.134220042329176, 0.331739130434781, 0.233899745423318, 0.489999999999998, 0.624258295076907, 1.59434782608695, 0.741443416533552, 2.17260869565217, 2.85818677146077, 5.0595652173913 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1350, '2023-04-30 00:00:00', 0.130197478467171, 0.348260869565217, 0.322228529612825, 0.57304347826087, 0.619379710110395, 1.64695652173913, 0.73101802425019, 2.15652173913043, 2.85555273509787, 5.05217391304348 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 3, 1365, '2023-04-30 00:00:00', 0.272287194347316, 0.483043478260869, 0.62385135555995, 1.54782608695652, 0.70212945441064, 1.75304347826087, 0.747005881209285, 2.14782608695652, 2.85369076603305, 5.03347826086957 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1320, '2023-04-30 00:00:00', 0.0965867709834234, 0.333636363636366, 0.148012079769106, 0.438636363636364, 0.218472164314099, 0.645909090909095, 0.696260419260332, 2.145, 2.88302075226813, 5.06090909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1335, '2023-04-30 00:00:00', 0.0927700224009737, 0.294090909090906, 0.190556260226969, 0.414545454545451, 0.813511973852711, 1.76272727272727, 0.693424278084658, 2.16090909090909, 2.88231343471364, 5.05545454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1350, '2023-04-30 00:00:00', 0.154600448580525, 0.331818181818181, 0.180864326946764, 0.485000000000006, 0.737532448475398, 1.86272727272727, 0.689215627955562, 2.15909090909091, 2.85980795074626, 5.06590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 4, 1365, '2023-04-30 00:00:00', 0.118760736584585, 0.377727272727278, 0.791658897204983, 1.7, 0.727902906088884, 1.88954545454545, 0.692554247175904, 2.14863636363636, 2.84718361639262, 5.06454545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1320, '2023-04-30 00:00:00', 0.120629302291895, 0.347142857142851, 0.146659631865924, 0.447619047619044, 0.256368410504805, 0.753809523809522, 0.734980401423188, 1.9847619047619, 2.82143563591641, 5.22095238095238 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1335, '2023-04-30 00:00:00', 0.0982004752194919, 0.306666666666664, 0.134014924542007, 0.479999999999998, 0.550904883329412, 1.46809523809524, 0.698637790206603, 1.96952380952381, 2.7960363101396, 5.20095238095238 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1350, '2023-04-30 00:00:00', 0.115061060394248, 0.379047619047618, 0.216616844088495, 0.588571428571431, 0.506637373839942, 1.50285714285714, 0.705515009458648, 1.95714285714286, 2.79491971091769, 5.19190476190476 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247918371300, 5, 1365, '2023-04-30 00:00:00', 0.169937294937065, 0.5045, 0.42749453674564, 1.436, 0.3834071629894, 1.603, 0.601167942206539, 2.0315, 2.62388477563126, 5.4215 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247918371300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2023-04-30 16:00:58 Duration: 710ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
-
insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 930, '2023-04-30 00:00:00', 0.473427220735493, 1.01333333333334, 0.576888204074232, 1.48, 0.843267454607373, 1.71, 0.998114889846524, 2.11333333333333, 2.91496712388549, 6.01666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 945, '2023-04-30 00:00:00', 0.180369990112908, 0.676666666666667, 0.208806130178202, 0.809999999999997, 0.443771713083801, 1.15333333333334, 1.03568013079972, 2.01666666666667, 2.94137722844247, 5.95 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 960, '2023-04-30 00:00:00', 0.126622799421477, 0.706666666666668, 0.395263625107764, 1.11666666666667, 0.330050501186307, 1.22666666666667, 1.03568013079972, 2.01666666666667, 2.94137722844247, 5.95 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 975, '2023-04-30 00:00:00', 0.255408170059869, 0.616666666666669, 0.326955654485432, 0.74, 1.11401675630725, 1.61333333333333, 1.14408624383537, 2.00333333333334, 2.94137722844247, 5.95 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 990, '2023-04-30 00:00:00', 0.704851462661171, 1.18181818181818, 0.65786302999467, 1.31136363636364, 0.651165455331018, 1.57545454545455, 0.742092513573139, 1.96181818181818, 3.30987885759404, 5.56863636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1005, '2023-04-30 00:00:00', 0.261140107689637, 0.696818181818184, 0.504175852300849, 0.951363636363637, 0.540114025158722, 1.22227272727273, 0.606066017291859, 1.57727272727273, 3.29802052660977, 5.46818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1020, '2023-04-30 00:00:00', 0.494405935883894, 0.679090909090909, 0.554090651623407, 0.864545454545457, 0.594872935612143, 1.115, 0.590636350643356, 1.44681818181818, 3.31530273897909, 5.39681818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1035, '2023-04-30 00:00:00', 0.192583821071575, 0.488636363636367, 0.25176949534818, 0.665454545454547, 0.360141867188703, 0.894545454545456, 0.477342934436323, 1.28909090909091, 3.330005427501, 5.36136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1050, '2023-04-30 00:00:00', 0.158005013893813, 0.503181818181819, 0.200616474141506, 0.647727272727273, 0.273028549321473, 0.817272727272728, 0.466315808117671, 1.28863636363636, 3.32547835311798, 5.36409090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1065, '2023-04-30 00:00:00', 0.171628941342923, 0.472272727272725, 0.243141862639828, 0.643181818181819, 0.313868820311347, 0.767727272727275, 0.521225661759084, 1.33, 3.29311718273444, 5.49727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1080, '2023-04-30 00:00:00', 0.171787143031197, 0.448181818181818, 0.218988722554516, 0.573181818181819, 0.292084981407183, 0.787727272727272, 0.551518957220112, 1.34727272727273, 3.2851129508081, 5.50363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1095, '2023-04-30 00:00:00', 0.124762111298197, 0.383181818181818, 0.190397738172746, 0.506818181818183, 0.236672916203077, 0.779545454545454, 0.500783152905297, 1.38863636363636, 3.27883624165147, 5.48363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1110, '2023-04-30 00:00:00', 0.140284960455031, 0.38681818181818, 0.233184708386094, 0.596818181818182, 0.266739573366983, 0.745000000000001, 0.531156746335291, 1.44318181818182, 3.27510615802303, 5.47818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1125, '2023-04-30 00:00:00', 0.181619100965448, 0.439545454545456, 0.221759981009849, 0.578181818181818, 0.231268382912721, 0.682272727272727, 0.505718810359589, 1.45090909090909, 3.27611439683134, 5.64272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1140, '2023-04-30 00:00:00', 0.143698819234363, 0.407272727272728, 0.212780499871444, 0.51227272727273, 0.23208680642011, 0.665, 0.508380205063527, 1.53136363636364, 3.26284637245097, 5.64045454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1155, '2023-04-30 00:00:00', 0.13928155171935, 0.352272727272729, 0.154073125945206, 0.493636363636364, 0.218996135489436, 0.665454545454547, 1.17032315069654, 2.06090909090909, 3.25701866171666, 5.66090909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1170, '2023-04-30 00:00:00', 0.121281933359043, 0.370454545454544, 0.173323134898111, 0.481363636363636, 0.200959279543474, 0.633181818181816, 1.23342140202704, 2.14045454545455, 3.25448195783182, 5.63363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1185, '2023-04-30 00:00:00', 0.117227163201231, 0.312272727272727, 0.154407820047352, 0.426818181818181, 0.21125270561038, 0.589090909090908, 1.20983881435089, 2.18363636363637, 3.2557084399386, 5.60772727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1200, '2023-04-30 00:00:00', 0.106039484600654, 0.33409090909091, 0.118105536487152, 0.438181818181817, 0.282933382090733, 0.633181818181819, 1.23822803150658, 2.20909090909091, 3.2584248445426, 5.60090909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1215, '2023-04-30 00:00:00', 0.121196238136867, 0.318636363636364, 0.200456189684141, 0.457272727272728, 0.4108264292598, 0.694545454545456, 1.25799650031516, 2.23863636363637, 3.26486295065813, 5.59409090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1230, '2023-04-30 00:00:00', 0.165284092304222, 0.340454545454543, 0.240068983592461, 0.499545454545454, 0.367162985619, 0.710909090909091, 1.24324425478515, 2.25909090909091, 3.26457162918474, 5.58772727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1245, '2023-04-30 00:00:00', 0.116809127615835, 0.36409090909091, 0.244143524603994, 0.518181818181819, 0.263682299326968, 0.700454545454545, 1.22753836310742, 2.26136363636364, 3.26641830268852, 5.56863636363637 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1260, '2023-04-30 00:00:00', 0.205925216535506, 0.383636363636364, 0.185819816836111, 0.503636363636365, 0.237352369244858, 0.681363636363636, 1.22479753605606, 2.26636363636364, 3.24765209895459, 5.55818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1275, '2023-04-30 00:00:00', 0.137614965711868, 0.339545454545456, 0.143478734264515, 0.473636363636364, 0.284249219959562, 0.734999999999998, 1.18500552540404, 2.28, 3.24310327173971, 5.54954545454546 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1290, '2023-04-30 00:00:00', 0.0837797566184575, 0.339999999999999, 0.190456276015237, 0.495454545454545, 0.396776240822693, 0.761363636363633, 1.1208098494458, 2.25363636363637, 3.22891683016207, 5.52909090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1305, '2023-04-30 00:00:00', 0.171283037069869, 0.369545454545453, 0.319594236791711, 0.564999999999999, 0.413105648782826, 0.800909090909089, 1.04660738244435, 2.21181818181818, 3.23442722603546, 5.51636363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 930, '2023-04-30 00:00:00', 0.132790561913616, 0.963333333333338, 0.333216646242856, 1.16666666666667, 0.205020324195762, 1.26666666666667, 0.276224546338662, 1.74, 2.71478053133826, 6.35666666666666 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 945, '2023-04-30 00:00:00', 0.508068236886876, 0.803333333333327, 0.400790884793228, 0.933333333333328, 0.435545634807657, 1.03, 0.443771713083809, 1.60666666666667, 2.85196423539987, 6.26 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 960, '2023-04-30 00:00:00', 0.438634243989227, 0.739999999999995, 0.39715656022951, 0.773333333333326, 0.605750223552038, 1.06666666666666, 0.356978057215477, 1.53333333333334, 2.87594042590129, 6.24333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 975, '2023-04-30 00:00:00', 0.0750555349946399, 0.373333333333335, 0.246373699895089, 0.609999999999999, 0.48562674281111, 0.883333333333335, 0.280059517483934, 1.48333333333333, 2.87594042590129, 6.24333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 990, '2023-04-30 00:00:00', 0.766205836975535, 1.25076923076923, 0.845383936445446, 1.405, 0.829004593102242, 1.55615384615385, 1.0572897135892, 1.99846153846154, 3.03397307426823, 5.13615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1005, '2023-04-30 00:00:00', 0.291426465193853, 0.694230769230769, 0.393504178454993, 0.931538461538464, 0.492143818879743, 1.17846153846154, 0.90810097710298, 1.78076923076923, 2.99895356108401, 5.00230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1020, '2023-04-30 00:00:00', 0.265080829472536, 0.639615384615384, 0.336241671329512, 0.842307692307691, 0.404978252027667, 1.07923076923077, 0.869106791703194, 1.67115384615385, 2.99549970147528, 4.93230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1035, '2023-04-30 00:00:00', 0.208106851253059, 0.592692307692306, 0.239717782787627, 0.746153846153844, 0.31460060149583, 0.951538461538461, 0.840937663472243, 1.57807692307692, 2.97878170760102, 4.87730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1050, '2023-04-30 00:00:00', 0.16316296714069, 0.523076923076923, 0.226962551977195, 0.71, 0.375981177924967, 0.944615384615386, 0.828313578673793, 1.55076923076923, 2.96960139775332, 4.85730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1065, '2023-04-30 00:00:00', 0.178166732628133, 0.479230769230768, 0.270281050304762, 0.609615384615386, 0.398798966127815, 0.913846153846155, 0.778722919025365, 1.47423076923077, 2.95920030777547, 4.84769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1080, '2023-04-30 00:00:00', 0.22576127623256, 0.448076923076924, 0.310904387974081, 0.668461538461539, 0.407204352402308, 0.879230769230769, 0.780490969740301, 1.41692307692308, 2.96178399981134, 4.84269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1095, '2023-04-30 00:00:00', 0.225437693933719, 0.473076923076925, 0.254141390084036, 0.639615384615384, 0.311357573316499, 0.816538461538461, 0.851326295575594, 1.44269230769231, 2.96154159440394, 4.84384615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1110, '2023-04-30 00:00:00', 0.215196511267115, 0.458461538461539, 0.30030881541404, 0.614230769230769, 0.316405047124969, 0.778076923076923, 0.993634819159511, 1.45307692307692, 3.04920834618783, 4.65346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1125, '2023-04-30 00:00:00', 0.187556350506678, 0.41423076923077, 0.201727920343601, 0.553076923076923, 0.301718156818325, 0.734615384615384, 1.18471112999687, 1.49730769230769, 3.13143714856048, 4.85115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1140, '2023-04-30 00:00:00', 0.151933689989568, 0.389615384615384, 0.187934522149032, 0.509230769230768, 0.31643033016156, 0.721923076923076, 1.17979215901002, 1.53153846153846, 3.10604613864389, 4.85884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1155, '2023-04-30 00:00:00', 0.122406636320849, 0.349230769230767, 0.23706831212835, 0.515769230769228, 0.255451335121552, 0.669230769230768, 3.08284865767911, 2.69038461538462, 2.95934901885273, 5.02884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1170, '2023-04-30 00:00:00', 0.171792361252226, 0.366153846153846, 0.19598116079005, 0.463846153846153, 0.432703309261848, 0.701923076923078, 3.15922135002623, 2.74653846153846, 2.95492392196743, 5.03923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1185, '2023-04-30 00:00:00', 0.118033241732346, 0.339615384615384, 0.151783246263065, 0.466923076923076, 0.458857443925841, 0.716923076923079, 3.17923253922414, 2.83346153846154, 2.96028418594203, 5.06769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1200, '2023-04-30 00:00:00', 0.109130831855796, 0.35153846153846, 0.378177003734818, 0.545384615384615, 0.522286835428135, 0.72346153846154, 3.17279852205249, 2.85230769230769, 2.9601210214345, 5.09269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1215, '2023-04-30 00:00:00', 0.288946095585053, 0.415384615384615, 0.339058424736235, 0.533846153846153, 0.472804399302715, 0.720000000000001, 3.1675480446845, 2.89384615384615, 2.95931249812156, 5.09769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1230, '2023-04-30 00:00:00', 0.173160663502469, 0.333846153846152, 0.221107700871352, 0.473846153846154, 0.314032825329798, 0.663846153846153, 3.16352960132532, 2.88653846153846, 2.959157078525, 5.09884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1245, '2023-04-30 00:00:00', 0.201909728496517, 0.356538461538461, 0.274287047844743, 0.524230769230769, 0.334718481023175, 0.682692307692307, 3.2161148324313, 2.93884615384615, 2.959157078525, 5.09884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1260, '2023-04-30 00:00:00', 0.211571773600866, 0.388846153846152, 0.250780013925784, 0.481153846153845, 0.352105753344733, 0.682307692307692, 3.22257329092522, 2.94115384615385, 2.96150803580774, 5.09461538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1275, '2023-04-30 00:00:00', 0.130843417870369, 0.339999999999999, 0.256317411395743, 0.498846153846153, 0.548751309793424, 0.780000000000001, 3.22698010768344, 2.93384615384615, 2.96150803580774, 5.09461538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1290, '2023-04-30 00:00:00', 0.250674167918312, 0.408461538461538, 0.28814659730502, 0.53269230769231, 0.849942622497814, 0.852307692307693, 3.22823209536403, 2.93230769230769, 2.96398245608843, 5.09 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1305, '2023-04-30 00:00:00', 0.135255882852299, 0.363076923076926, 0.530434364822467, 0.593846153846156, 1.10991870804196, 0.916538461538464, 3.21832285515298, 2.905, 2.97411240799412, 5.06384615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 930, '2023-04-30 00:00:00', 1.27007873771668, 1.47, 2.23756564149524, 2.03, 3.08597364430309, 2.62666666666666, 4.59102385095089, 3.57999999999999, 2.85114596843677, 6.32333333333333 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 945, '2023-04-30 00:00:00', 0.878711177425969, 0.853333333333334, 1.67434564332856, 1.48666666666667, 2.35270765998102, 2.01333333333333, 3.06627352552464, 2.59333333333332, 1.81248448269219, 5.57 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 960, '2023-04-30 00:00:00', 0.989090491310077, 1.04, 0.924247441615787, 1.13333333333333, 1.67887859398271, 1.71333333333333, 2.35140383600945, 2.17999999999999, 1.8279040820933, 5.58333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 975, '2023-04-30 00:00:00', 0.223009715782371, 0.566666666666658, 0.892711226171909, 1.08333333333333, 1.13209245794384, 1.34333333333333, 1.47520620027619, 1.80666666666666, 1.83147481555166, 5.59000000000001 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 990, '2023-04-30 00:00:00', 0.625800164712224, 1.27461538461539, 0.724923444233941, 1.425, 0.798466992718884, 1.60153846153846, 0.874697662052438, 1.92, 1.49974526042053, 4.38961538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1005, '2023-04-30 00:00:00', 0.310760110300288, 0.740384615384616, 0.434324940391585, 0.993076923076922, 0.560826313439511, 1.19692307692308, 0.834418452484214, 1.70307692307692, 1.50771661283392, 4.33423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1020, '2023-04-30 00:00:00', 0.367834410905443, 0.766923076923074, 0.390422256616524, 0.888461538461538, 0.504623088590346, 1.09269230769231, 0.825673897259312, 1.67576923076923, 1.51473363995126, 4.295 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1035, '2023-04-30 00:00:00', 0.225024101273277, 0.530384615384619, 0.366982917229756, 0.75269230769231, 0.462990945251217, 0.956153846153846, 0.813189730912493, 1.65153846153846, 1.51642291645123, 4.28769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1050, '2023-04-30 00:00:00', 0.323074890103494, 0.554230769230768, 0.325302226339659, 0.701538461538461, 0.390151844207432, 0.882307692307692, 0.856135862690384, 1.61615384615385, 1.50958359006205, 4.28884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1065, '2023-04-30 00:00:00', 0.202791670288652, 0.507307692307694, 0.33593955500266, 0.669230769230769, 0.568371492816231, 0.916923076923075, 0.90830967270995, 1.66230769230769, 1.51021771227249, 4.30846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1080, '2023-04-30 00:00:00', 0.252480920832871, 0.481153846153846, 0.337891425438134, 0.631153846153847, 0.581394742110592, 0.910384615384614, 0.985551388036939, 1.66653846153846, 1.53575538917649, 4.27384615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1095, '2023-04-30 00:00:00', 0.309760205022181, 0.430769230769234, 0.544729714205547, 0.642307692307692, 0.749044622271492, 0.969615384615384, 1.1101306922368, 1.72692307692308, 1.56435157370517, 4.25038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1110, '2023-04-30 00:00:00', 0.263864767228622, 0.446153846153846, 0.341177147760287, 0.644615384615385, 0.602322300638249, 0.868076923076923, 1.20930806662322, 1.775, 1.5469943065879, 4.25923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1125, '2023-04-30 00:00:00', 0.185121997196859, 0.423076923076922, 0.576529670995745, 0.667692307692305, 0.582664437007998, 0.804615384615383, 1.25420327146513, 1.82538461538462, 1.51389766954248, 4.43692307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1140, '2023-04-30 00:00:00', 0.55795174867201, 0.493076923076924, 0.562758043376205, 0.596153846153847, 0.581337582318041, 0.744230769230769, 1.30671784959934, 1.89653846153846, 1.51151233486913, 4.45153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1155, '2023-04-30 00:00:00', 0.128747815515449, 0.349999999999998, 0.201932204921888, 0.486153846153846, 0.389499086599107, 0.701538461538462, 1.38625560968553, 2.46615384615385, 1.47550419022943, 4.48615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1170, '2023-04-30 00:00:00', 0.121249900872283, 0.34846153846154, 0.144231117948297, 0.458846153846155, 0.410346382762362, 0.681923076923078, 1.38118549971225, 2.56576923076923, 1.46852940569286, 4.49884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1185, '2023-04-30 00:00:00', 0.117226933109051, 0.343076923076923, 0.379565743773267, 0.543076923076923, 0.486376871919771, 0.757692307692307, 1.374016235488, 2.68615384615385, 1.46192139113092, 4.51307692307693 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1200, '2023-04-30 00:00:00', 0.386515797268961, 0.422307692307694, 0.423809100711812, 0.536923076923077, 0.531098716016, 0.795384615384615, 1.35509409267401, 2.73, 1.46344803592275, 4.51192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1215, '2023-04-30 00:00:00', 0.254796751579345, 0.384230769230768, 0.377540216910217, 0.603846153846152, 0.603780907793035, 0.930769230769229, 1.36375821227168, 2.74730769230769, 1.46514798412468, 4.52884615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1230, '2023-04-30 00:00:00', 0.404480483507499, 0.472692307692307, 0.54869131016096, 0.626923076923076, 0.780547342475876, 1.01307692307692, 1.37839594624164, 2.76076923076923, 1.49347380291721, 4.56 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1245, '2023-04-30 00:00:00', 0.365055949347279, 0.474615384615383, 0.487038144138784, 0.723076923076922, 0.714855230099071, 1.015, 1.2586093057877, 2.72576923076923, 1.5219544620702, 4.58423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1260, '2023-04-30 00:00:00', 0.366622211757342, 0.540384615384615, 0.537867584505273, 0.751538461538461, 0.703598224513437, 0.992307692307691, 1.20947929037506, 2.68192307692308, 1.52015707690407, 4.58846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1275, '2023-04-30 00:00:00', 0.316572023643666, 0.484615384615384, 0.44323357273564, 0.68, 0.760087140753255, 1.00730769230769, 1.13732026475192, 2.61423076923077, 1.50878677700381, 4.59846153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1290, '2023-04-30 00:00:00', 0.339269123943719, 0.476538461538462, 0.394586638629104, 0.621153846153845, 0.763633016975682, 0.94923076923077, 1.10883341330497, 2.57653846153846, 1.51609889062483, 4.59961538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1305, '2023-04-30 00:00:00', 0.228198631425817, 0.431153846153844, 0.569436563631104, 0.724999999999999, 0.70175790258903, 0.948076923076923, 1.05172122659075, 2.53846153846154, 1.54531092216222, 4.63538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 930, '2023-04-30 00:00:00', 0.251462389500564, 0.846666666666664, 0.46057934531776, 1.15666666666666, 0.711219609778401, 1.59666666666666, 0.566303805390718, 2.43, 1.82205927455723, 5.23 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 945, '2023-04-30 00:00:00', 0.267270150472019, 0.646666666666661, 0.720208303201232, 1.26999999999999, 0.763697147653009, 1.36333333333333, 0.559493818851771, 2.28333333333333, 1.93496769998882, 4.99 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 960, '2023-04-30 00:00:00', 0.728583099813143, 0.956666666666663, 0.724591839129689, 1.05666666666666, 0.773498545570711, 1.28, 0.769566977808517, 2.05333333333333, 2.02474689776279, 4.76000000000001 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 975, '2023-04-30 00:00:00', 0.147309198626564, 0.530000000000001, 0.287112057101992, 0.703333333333338, 0.210713075057055, 1.1, 0.856523982929451, 1.98333333333333, 2.0316085580971, 4.74333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 990, '2023-04-30 00:00:00', 0.824110631731766, 1.432, 0.894642759243412, 1.5624, 0.962213074116126, 1.8604, 0.997501044276815, 2.324, 1.58124138996338, 4.3608 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1005, '2023-04-30 00:00:00', 0.315524431172397, 0.718400000000001, 0.476593817277002, 1.022, 0.553150973966419, 1.3152, 0.700200447491047, 1.8716, 1.56553803318007, 4.0552 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1020, '2023-04-30 00:00:00', 0.30000999983334, 0.6732, 0.356336451498674, 0.924400000000002, 0.483803334699821, 1.0736, 0.66455699529837, 1.7012, 1.62572568411771, 3.9544 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1035, '2023-04-30 00:00:00', 0.281002965583401, 0.6028, 0.325101009944088, 0.753599999999997, 0.450291387140964, 0.9396, 0.559697239585829, 1.5612, 1.65726179786619, 3.926 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1050, '2023-04-30 00:00:00', 0.196829029024347, 0.507999999999998, 0.215602257254726, 0.635199999999999, 0.348853837588181, 0.8664, 0.47210239002431, 1.4884, 1.65893359320579, 3.9224 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1065, '2023-04-30 00:00:00', 0.125655614014388, 0.446800000000001, 0.228468086757576, 0.596800000000003, 0.311912380859324, 0.766800000000003, 0.463929951609075, 1.3932, 1.67259030648074, 3.9 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1080, '2023-04-30 00:00:00', 0.21, 0.438000000000004, 0.266268661317849, 0.613600000000001, 0.349476751730355, 0.794400000000002, 0.464529511082627, 1.3628, 1.67924219019572, 3.8872 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1095, '2023-04-30 00:00:00', 0.188858853821227, 0.445200000000001, 0.23597316231583, 0.572000000000003, 0.299388265189759, 0.770000000000001, 0.686986171622107, 1.442, 1.68716013861558, 3.8748 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1110, '2023-04-30 00:00:00', 0.182461868162453, 0.405600000000002, 0.218348345539873, 0.5752, 0.257261216146805, 0.776000000000002, 0.694333733397227, 1.4492, 1.66899191130454, 3.8844 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1125, '2023-04-30 00:00:00', 0.161206906386379, 0.4272, 0.254521118966579, 0.546799999999999, 0.26871174146285, 0.813199999999999, 0.700490780334282, 1.4396, 3.13753130130468, 4.6988 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1140, '2023-04-30 00:00:00', 0.177165647535482, 0.387200000000002, 0.215180544349777, 0.581200000000003, 0.27540455091858, 0.766800000000002, 0.704037641039168, 1.4124, 3.21076039799505, 4.7264 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1155, '2023-04-30 00:00:00', 0.130989821487522, 0.380000000000002, 0.191376592090045, 0.544, 0.248815192462194, 0.735599999999999, 0.704112206967044, 1.9436, 3.18989879672276, 4.7972 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1170, '2023-04-30 00:00:00', 0.136318255074905, 0.349199999999998, 0.175088549025915, 0.483199999999999, 0.276044682373463, 0.715599999999998, 0.714866654232337, 1.9452, 3.19702205184762, 4.804 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1185, '2023-04-30 00:00:00', 0.137788485247012, 0.362399999999998, 0.175230324620672, 0.501599999999997, 0.256149045154052, 0.689599999999998, 0.704501715162333, 2.0068, 3.21125380498023, 4.8148 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1200, '2023-04-30 00:00:00', 0.129374134457651, 0.372799999999999, 0.253914027444986, 0.528399999999999, 0.254443837942023, 0.649999999999999, 0.72960560122119, 2.0392, 3.20789520818038, 4.818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1215, '2023-04-30 00:00:00', 0.212622513702887, 0.398, 0.224629324295235, 0.509999999999999, 0.233728474944754, 0.6304, 0.722680196675311, 2.03, 3.20637292486905, 4.8224 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1230, '2023-04-30 00:00:00', 0.158621141928392, 0.372400000000001, 0.212015722687415, 0.494400000000001, 0.258585898042925, 0.636, 0.717623856905552, 2.0256, 3.21416821795831, 4.8376 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1245, '2023-04-30 00:00:00', 0.149052563435409, 0.341999999999999, 0.187223574014243, 0.461199999999999, 0.245725456556703, 0.653199999999999, 0.72374443003038, 2.0032, 3.20191218909368, 4.858 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1260, '2023-04-30 00:00:00', 0.178465682975747, 0.360000000000001, 0.218053510252261, 0.461599999999999, 0.303451259128493, 0.689199999999998, 0.720317753957701, 2.0008, 3.2047442955718, 4.8588 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1275, '2023-04-30 00:00:00', 0.100553468363851, 0.321199999999998, 0.134979010714011, 0.481199999999998, 0.69215845969932, 0.797999999999998, 0.728954731104751, 2.004, 3.20263693436102, 4.858 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1290, '2023-04-30 00:00:00', 0.149296126317239, 0.3832, 0.26056029372617, 0.519999999999999, 0.666548822917971, 0.829599999999999, 0.707999999999998, 2.0216, 3.21269227699552, 4.848 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1305, '2023-04-30 00:00:00', 0.208464225548017, 0.373599999999999, 0.618683548620242, 0.638799999999999, 0.611827317685855, 0.8008, 0.668495325338927, 2.0088, 3.22367424946545, 4.8344 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 930, '2023-04-30 00:00:00', 0.540955943985581, 1.17666666666667, 0.435009578438601, 1.36333333333333, 0.59253691868102, 1.66, 1.0420332688227, 2.01666666666667, 2.79525192663083, 3.77333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 930); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 945, '2023-04-30 00:00:00', 0.291433239925254, 0.783333333333331, 0.520800665642181, 1.15333333333334, 0.77272245987806, 1.46000000000001, 1.17435088453153, 1.81, 2.79525192663083, 3.77333333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 945); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 960, '2023-04-30 00:00:00', 0.388372673257703, 0.916666666666671, 0.531538647074068, 1.15666666666667, 0.542617114854784, 1.32666666666667, 0.946801633571317, 1.67666666666666, 2.69713428166515, 3.71666666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 960); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 975, '2023-04-30 00:00:00', 0.164620776331545, 0.759999999999996, 0.11532562594671, 0.930000000000002, 0.321455025366438, 1.07333333333334, 0.779829041093838, 1.56666666666666, 2.89337173553625, 3.83000000000001 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 975); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 990, '2023-04-30 00:00:00', 0.563242103066404, 1.218, 0.548609454287231, 1.2884, 0.583383235960718, 1.4888, 0.663194792902758, 1.7376, 3.33538193715003, 4.7468 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 990); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1005, '2023-04-30 00:00:00', 0.274998787876117, 0.679199999999999, 0.359414802143707, 0.9104, 0.414944574612081, 1.1096, 0.50246160715687, 1.4448, 3.35735421624429, 4.6576 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1005); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1020, '2023-04-30 00:00:00', 0.250299820215675, 0.646, 0.296540047885609, 0.821199999999997, 0.344307517586627, 0.973199999999998, 0.476133034630728, 1.3912, 3.35130288097032, 4.6532 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1020); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1035, '2023-04-30 00:00:00', 0.199258625911153, 0.549599999999998, 0.243489903965924, 0.709599999999998, 0.326196259941774, 0.870399999999999, 0.472400606829978, 1.3304, 3.35323237091218, 4.6444 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1035); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1050, '2023-04-30 00:00:00', 0.205223455449582, 0.505999999999999, 0.229410113116229, 0.6796, 0.282050822843449, 0.818800000000001, 0.477188641943622, 1.3056, 3.35075747655163, 4.6456 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1050); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1065, '2023-04-30 00:00:00', 0.175601822314008, 0.498800000000002, 0.187283208003279, 0.612000000000001, 0.287336620244151, 0.799599999999999, 0.47388922756273, 1.2472, 3.27161310874824, 4.6476 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1065); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1080, '2023-04-30 00:00:00', 0.163069514829309, 0.423999999999998, 0.258806877806597, 0.586799999999999, 0.303294686182703, 0.787199999999998, 0.514206508450965, 1.238, 3.25707163978115, 4.6436 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1080); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1095, '2023-04-30 00:00:00', 0.155604198743691, 0.4372, 0.228011695606459, 0.6068, 0.325857842215484, 0.808000000000001, 0.875296711597463, 1.3588, 3.24582542147089, 4.6608 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1095); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1110, '2023-04-30 00:00:00', 0.177757325212399, 0.463200000000001, 0.227925426400829, 0.579999999999999, 0.380673525916017, 0.770400000000004, 0.881582289598272, 1.3596, 3.22218233500217, 4.6644 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1110); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1125, '2023-04-30 00:00:00', 0.120242809902854, 0.37, 0.280609455768454, 0.522000000000003, 0.301768122902339, 0.688400000000003, 0.874570751854875, 1.3236, 3.16314463785645, 4.8456 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1125); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1140, '2023-04-30 00:00:00', 0.200412165877933, 0.372083333333335, 0.247051819360381, 0.482083333333335, 0.249554675836547, 0.620833333333333, 0.93593323185618, 1.34666666666667, 3.2624137225529, 4.82291666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1140); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1155, '2023-04-30 00:00:00', 0.159807402197464, 0.349166666666668, 0.176203419170957, 0.467083333333334, 0.221573751911711, 0.614166666666664, 1.11563777496441, 1.87708333333333, 3.25311311324034, 4.84166666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1155); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1170, '2023-04-30 00:00:00', 0.110401113205896, 0.343333333333333, 0.135832777628452, 0.433749999999999, 0.323298220116404, 0.659999999999998, 1.1345687267205, 1.91125, 3.25381381579003, 4.865 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1170); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1185, '2023-04-30 00:00:00', 0.13137993912998, 0.325416666666666, 0.21603643010019, 0.472499999999998, 0.380816961243868, 0.669583333333331, 1.11339269671642, 1.95208333333334, 3.24881915560056, 4.87208333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1185); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1200, '2023-04-30 00:00:00', 0.155647315930991, 0.37, 0.285367484919491, 0.514583333333334, 0.337019921571757, 0.687916666666666, 1.08013250663243, 1.96083333333334, 3.2579111072294, 4.8625 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1200); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1215, '2023-04-30 00:00:00', 0.177149327004, 0.370833333333334, 0.220459007330258, 0.502499999999998, 0.289742201755733, 0.718749999999998, 1.00626506649986, 2.00958333333334, 3.24555144261598, 4.89708333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1215); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1230, '2023-04-30 00:00:00', 0.0980202581841749, 0.340833333333331, 0.181009648233518, 0.474166666666665, 0.190719461627486, 0.644999999999999, 0.937116201632604, 2.01291666666667, 3.24816191054286, 4.89583333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1230); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1245, '2023-04-30 00:00:00', 0.161108029289196, 0.330833333333331, 0.210946366560833, 0.491249999999996, 0.209830418070944, 0.608749999999999, 0.959417754440802, 2.05708333333334, 3.23495825186421, 4.90375 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1245); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1260, '2023-04-30 00:00:00', 0.181498892079505, 0.358750000000001, 0.168778647595181, 0.460833333333335, 0.207615429741307, 0.597916666666668, 0.941255713842196, 2.04666666666667, 3.2358306227058, 4.90458333333334 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1260); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1275, '2023-04-30 00:00:00', 0.12411352330293, 0.320416666666669, 0.134390060665947, 0.434583333333335, 0.550746364464633, 0.737916666666666, 0.961280754205449, 2.02541666666667, 3.25006084112505, 4.89791666666667 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1275); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1290, '2023-04-30 00:00:00', 0.105675878535964, 0.3325, 0.183111196121174, 0.489166666666666, 0.570475901001248, 0.780833333333332, 0.940734276116731, 2.05375, 3.2500198159931, 4.92125 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1290); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1305, '2023-04-30 00:00:00', 0.130039013098134, 0.336666666666665, 0.552484343013773, 0.589583333333333, 0.546220047764368, 0.774583333333333, 0.918508557942981, 2.05333333333334, 3.23927695904369, 4.9375 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1305); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1320, '2023-04-30 00:00:00', 0.108643954143473, 0.355789473684209, 0.176537523138919, 0.471052631578945, 0.320353423252311, 0.774736842105262, 1.09487829439265, 2.23157894736842, 3.34789695705942, 5.36842105263158 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1335, '2023-04-30 00:00:00', 0.149200598904463, 0.330526315789473, 0.190976254609211, 0.479473684210524, 1.00760354916043, 1.70736842105264, 1.1279212883657, 2.2521052631579, 3.34843893103246, 5.36105263157895 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1350, '2023-04-30 00:00:00', 0.144659309377148, 0.355263157894734, 0.261163612987219, 0.632105263157894, 0.985840396083311, 1.80421052631579, 1.17693799366647, 2.28052631578947, 3.34539624310661, 5.36263157894737 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 1, 1365, '2023-04-30 00:00:00', 0.176496110985435, 0.507894736842109, 0.937274885253151, 1.6421052631579, 0.993872160463822, 1.86473684210527, 1.18852776392225, 2.28263157894737, 3.34513472311497, 5.36473684210527 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 1 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1320, '2023-04-30 00:00:00', 0.10267951599006, 0.323913043478262, 0.152810301165507, 0.433478260869565, 0.257768624994626, 0.730869565217392, 3.11765690623267, 2.77869565217391, 2.98961602092462, 4.88695652173913 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1335, '2023-04-30 00:00:00', 0.116908463905768, 0.293043478260867, 0.211787050927839, 0.48086956521739, 3.08120106452013, 2.25, 3.09926154662483, 2.74695652173913, 2.96743804274822, 4.87608695652174 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1350, '2023-04-30 00:00:00', 0.154790435917027, 0.373478260869565, 0.20514527774296, 0.581304347826087, 3.14168417359866, 2.32391304347826, 3.08700841408257, 2.74130434782609, 2.95631928509337, 4.87347826086957 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 2, 1365, '2023-04-30 00:00:00', 0.142455873481327, 0.458695652173914, 3.08682813015858, 2.17478260869565, 3.13961264950516, 2.39304347826087, 3.14122430249371, 2.71913043478261, 2.95603228626995, 4.87217391304348 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 2 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1320, '2023-04-30 00:00:00', 0.378208801104894, 0.456521739130433, 0.408721132836164, 0.554347826086958, 0.525589072867565, 0.844347826086958, 1.11382881292681, 2.51652173913044, 1.53895734941556, 4.49478260869565 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1335, '2023-04-30 00:00:00', 0.32747989709897, 0.376086956521742, 0.405103314787936, 0.572173913043479, 0.935481740578895, 1.93521739130435, 1.10271977813537, 2.53, 1.53722814043044, 4.48391304347826 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1350, '2023-04-30 00:00:00', 0.186543343414692, 0.38565217391304, 0.329167713178571, 0.621739130434782, 0.985743434458011, 1.97913043478261, 1.06993812388045, 2.50695652173913, 1.50659892347152, 4.44304347826087 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 3, 1365, '2023-04-30 00:00:00', 0.281811615376771, 0.492173913043478, 0.87836580205142, 1.84913043478261, 1.04369971299656, 2.12, 1.05234069987652, 2.51869565217391, 1.50282461324727, 4.46 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 3 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1320, '2023-04-30 00:00:00', 0.148571844821263, 0.324545454545454, 0.200831604418562, 0.480000000000001, 0.260615737764554, 0.664090909090907, 0.596243652801851, 1.93727272727273, 3.37074554677827, 4.90727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1335, '2023-04-30 00:00:00', 0.141385384109628, 0.357727272727272, 0.197181986831294, 0.469545454545453, 0.574304209174307, 1.59409090909091, 0.596278502000577, 1.93363636363636, 3.40651896054776, 4.93 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1350, '2023-04-30 00:00:00', 0.119773415229221, 0.341363636363635, 0.217719387289539, 0.567272727272724, 0.553135102446449, 1.62818181818182, 0.617689452508508, 1.94454545454545, 3.40651896054776, 4.93 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 4, 1365, '2023-04-30 00:00:00', 0.172232602210119, 0.445454545454542, 0.530549825071234, 1.51454545454545, 0.515522682685871, 1.68727272727273, 0.598966642611288, 1.90090909090909, 3.41076675692283, 4.90818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 4 and fromtime = 1365); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1320, '2023-04-30 00:00:00', 0.15406090323233, 0.376190476190476, 0.19282486502375, 0.492857142857143, 0.376115483785042, 0.79857142857143, 0.885863044343387, 2.08333333333334, 3.38087647131416, 5.01428571428572 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1320); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1335, '2023-04-30 00:00:00', 0.165064201073976, 0.345238095238094, 0.246008129946961, 0.510000000000001, 0.835940303177323, 1.6352380952381, 0.862791427645784, 2.06904761904762, 3.38374517784236, 5.01714285714286 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1335); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1350, '2023-04-30 00:00:00', 0.14974263635604, 0.361428571428573, 0.270640334163611, 0.634761904761907, 0.789567090547849, 1.62190476190476, 0.858904063604425, 2.03190476190476, 3.39584963770553, 5.01619047619048 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1350); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840247929062300, 5, 1365, '2023-04-30 00:00:00', 0.246683261651348, 0.520000000000002, 0.727094252921575, 1.5315, 0.662448409113377, 1.682, 0.755665618058537, 2.061, 3.32358917437159, 5.2365 where not exists (select 1 from powerstats_trumpet where symbolid = 515840247929062300 and enddate = '2023-04-30 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2023-04-30 16:01:12 Duration: 632ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
14 42ms 1s260ms 298ms 96 28s610ms with rar_max as ( select resultuid from relevance_consecutivecandles_results order by resultuid desc limit ? ), all_results as ( select ccr.resultuid as resultuid, ccr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ccr.patternendtime as identified, dtt.timezone as timezone, ccr.qtyconsecutivecandles as length, g.basegroupname, case when rcr.age is not null then rcr.age when ccr.resultuid <= rm.resultuid then ? else ? end as age, case when rcr.relevant is not null then rcr.relevant when ccr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip, newlevels.filtered from consecutivecandles_results ccr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = ccr.symbolid inner join symbols s on ccr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on ccr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on ccr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join rar_max rm on ? = ? left outer join relevance_consecutivecandles_results rcr on rcr.resultuid = ccr.resultuid left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? left join lateral calc_cc_signal_filter (ccr.resultuid) newlevels on true where ccr.gmttimefound > now() - interval ? and s.deleted = ? and (ccr.simulation = ? or ccr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ccr.patternlengthbars <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Apr 30 16 96 28s610ms 298ms [ User: postgres - Total duration: 28s610ms - Times executed: 96 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 28s610ms - Times executed: 96 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1 ), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('400' = 0 OR ccr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:16:07 Duration: 1s260ms Database: acaweb_fx User: postgres Remote: 192.168.1.20 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1 ), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('400' = 0 OR ccr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:06:11 Duration: 1s240ms Database: acaweb_fx User: postgres Remote: 192.168.1.20 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1 ), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('231' = 0 OR coalesce(bim.code, s.symbol) in ('#ADBE', '#AIRF', '#ALVG', '#AMZN', '#APPL', '#BA', '#BABA', '#BAYGn', '#BMWG', '#BNPP', '#BP', '#CAT', '#CBKG', '#DAIGn', '#DBKGn', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#META', '#MSFT', '#NFLX', '#RDSa', '#TSLA', '#VOWG', '#WMT', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS_200', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CL_BRENT', 'DASHUSD', 'EOSUSD', 'ESP_35', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EUR_50', 'FRA_40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'GBR_100', 'GER_30', 'HKDJPY', 'HKG_50', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NAS100', 'NEOUSD', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'OMGUSD', 'SPX500', 'TRXUSD', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'USOIL', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XMRUSD', 'XPTUSD', 'XRPUSD', 'ZARJPY', 'ZECUSD', '#BP', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'HKDJPY', 'NOKJPY', 'NOKSEK', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDZAR', 'ZARJPY', 'BTCEUR', 'BTCGBP', 'BTCUSD', 'DASHUSD', 'EOSUSD', 'ETHEUR', 'ETHGBP', 'ETHUSD', 'IOTAUSD', 'LTCEUR', 'LTCUSD', 'NEOUSD', 'OMGUSD', 'TRXUSD', 'XMRUSD', 'XRPUSD', 'ZECUSD', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'XPTUSD', 'CL_BRENT', 'USOIL', '#AIRF', '#ALVG', '#BAYGn', '#BMWG', '#BNPP', '#CBKG', '#DAIGn', '#DBKGn', '#RDSa', '#VOWG', 'AUS_200', 'ESP_35', 'EUR_50', 'FRA_40', 'GBR_100', 'GER_30', 'HKG_50', 'NAS100', 'SPX500', 'US30', '#ADBE', '#AMZN', '#APPL', '#BA', '#BABA', '#CAT', '#DIS', '#EA', '#FB', '#FDX', '#GE', '#GM', '#GOOGL', '#GS', '#INTC', '#JPM', '#KO', '#MSFT', '#NFLX', '#TSLA', '#WMT', '#XOM')) AND ('400' = 0 OR ccr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2023-04-30 16:01:12 Duration: 1s113ms Database: acaweb_fx User: postgres Remote: 192.168.1.145 Application: PostgreSQL JDBC Driver Bind query: yes
15 3ms 402ms 121ms 80 9s756ms copy solr_relevance_old (uuid, relevant, age, result_uid) from stdin with ( format csv, header);Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Apr 30 16 80 9s756ms 121ms [ User: postgres - Total duration: 9s756ms - Times executed: 80 ]
[ Application: psql - Total duration: 9s756ms - Times executed: 80 ]
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COPY solr_relevance_old (uuid, relevant, age, result_uid) FROM STDIN WITH ( FORMAT csv, HEADER);
Date: 2023-04-30 16:50:13 Duration: 402ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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COPY solr_relevance_old (uuid, relevant, age, result_uid) FROM STDIN WITH ( FORMAT csv, HEADER);
Date: 2023-04-30 16:11:12 Duration: 277ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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COPY solr_relevance_old (uuid, relevant, age, result_uid) FROM STDIN WITH ( FORMAT csv, HEADER);
Date: 2023-04-30 16:01:12 Duration: 274ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
16 26ms 1s709ms 104ms 154 16s81ms select distinct k.symbolid, p.resultuid, k.symbolid, k.bandwidth, k.direction, k.patternendtime, k.patternprice, k.patternlengthbars, k.breakoutbars, k.uniquepointsvalue, k.predictionpricefrom, k.predictionpriceto, k.furthestprice, k.patternclassid from relevance_keylevels_results p inner join keylevels_results k on p.resultuid = k.resultuid inner join autochartist_stocklist asl on k.symbolid = asl.symbolid where k.patternclassid in (...) and asl.enabled = ? and asl.recognitionengine ilike ?;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Apr 30 16 154 16s81ms 104ms [ User: postgres - Total duration: 16s81ms - Times executed: 154 ]
[ Application: [unknown] - Total duration: 16s81ms - Times executed: 154 ]
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SELECT DISTINCT k.symbolid, p.resultuid, k.symbolid, k.bandwidth, k.direction, k.patternendtime, k.patternprice, k.patternlengthbars, k.breakoutbars, k.uniquepointsvalue, k.predictionpricefrom, k.predictionpriceto, k.furthestprice, k.patternclassid FROM relevance_keylevels_results p INNER JOIN keylevels_results k ON p.resultuid = k.resultuid INNER JOIN autochartist_stocklist asl ON k.symbolid = asl.symbolid WHERE k.patternclassid in (1, 2) AND asl.enabled = 1 AND asl.recognitionengine ILIKE 'LEGACYFXMT5 - 1';
Date: 2023-04-30 16:15:10 Duration: 1s709ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
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SELECT DISTINCT k.symbolid, p.resultuid, k.symbolid, k.bandwidth, k.direction, k.patternendtime, k.patternprice, k.patternlengthbars, k.breakoutbars, k.uniquepointsvalue, k.predictionpricefrom, k.predictionpriceto, k.furthestprice, k.patternclassid FROM relevance_keylevels_results p INNER JOIN keylevels_results k ON p.resultuid = k.resultuid INNER JOIN autochartist_stocklist asl ON k.symbolid = asl.symbolid WHERE k.patternclassid in (1, 2) AND asl.enabled = 1 AND asl.recognitionengine ILIKE 'XM - 2';
Date: 2023-04-30 16:21:34 Duration: 1s187ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
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SELECT DISTINCT k.symbolid, p.resultuid, k.symbolid, k.bandwidth, k.direction, k.patternendtime, k.patternprice, k.patternlengthbars, k.breakoutbars, k.uniquepointsvalue, k.predictionpricefrom, k.predictionpriceto, k.furthestprice, k.patternclassid FROM relevance_keylevels_results p INNER JOIN keylevels_results k ON p.resultuid = k.resultuid INNER JOIN autochartist_stocklist asl ON k.symbolid = asl.symbolid WHERE k.patternclassid in (1, 2) AND asl.enabled = 1 AND asl.recognitionengine ILIKE 'LEADERCAPITAL2 - 1';
Date: 2023-04-30 16:26:22 Duration: 460ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
17 0ms 255ms 32ms 2,097 1m8s select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as relevant, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid left outer join relevance_keylevels_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.qtytp >= ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Apr 30 16 2,097 1m8s 32ms [ User: postgres - Total duration: 1m8s - Times executed: 2097 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m8s - Times executed: 2097 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:35:45 Duration: 255ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:45 Duration: 232ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-261368481' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:20:46 Duration: 228ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
18 0ms 130ms 31ms 480 15s348ms select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as relevant, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid left outer join relevance_keylevels_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.qtytp >= ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? and ((rar.age is null and a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)) or rar.age >= ( case c.timegranularity when ? then ? when ? then ? when ? then ? when ? then ? when ? then ? end)) order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Apr 30 16 480 15s348ms 31ms [ User: postgres - Total duration: 15s348ms - Times executed: 480 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 15s348ms - Times executed: 480 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '1164393647' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= ( case c.timegranularity when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:34:24 Duration: 130ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '1164393647' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= ( case c.timegranularity when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:22:24 Duration: 125ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '1164393647' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= ( case c.timegranularity when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:30:24 Duration: 120ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
19 0ms 110ms 26ms 570 15s3ms select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.qtytp >= ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by patternendtime desc, qtp desc limit ?;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Apr 30 16 570 15s3ms 26ms [ User: postgres - Total duration: 15s3ms - Times executed: 570 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 15s3ms - Times executed: 570 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '2135540087' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:06 Duration: 110ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 558 AND sg.groupid = 515852059751072308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '1901812087' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:02:15 Duration: 105ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 529 AND sg.groupid = 515852059714438308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '120006327' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:06 Duration: 97ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
20 3ms 680ms 24ms 846 20s804ms select distinct on (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname from brokergroups bg inner join symbolgroup sg on bg.groupid = sg.groupid inner join symbols s on sg.symbolid = s.symbolid inner join brokersymbollist bsl on s.symbolid = bsl.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join groups g on bg.groupid = g.groupid left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where bsl.brokerid = ? and bg.brokerid = ? and dss.enabled = ? and s.nonliquid = ? and s.deleted = ? order by basegroupname, symbol;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Apr 30 16 846 20s804ms 24ms [ User: postgres - Total duration: 20s804ms - Times executed: 846 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 20s804ms - Times executed: 846 ]
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '667' AND bg.brokerid = '667' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2023-04-30 16:01:02 Duration: 680ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '667' AND bg.brokerid = '667' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2023-04-30 16:15:58 Duration: 672ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '667' AND bg.brokerid = '667' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2023-04-30 16:01:07 Duration: 668ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
Time consuming prepare
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 579ms 4,671 0ms 14ms 0ms SET extra_float_digits = 3;Times Reported Time consuming prepare #1
Day Hour Count Duration Avg duration Apr 30 16 4,671 579ms 0ms [ User: postgres - Total duration: 40ms - Times executed: 4671 ]
[ Application: [unknown] - Total duration: 40ms - Times executed: 4671 ]
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SET extra_float_digits = 3;
Date: 2023-04-30 16:00:04 Duration: 14ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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SET extra_float_digits = 3;
Date: 2023-04-30 16:06:15 Duration: 6ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
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SET extra_float_digits = 3;
Date: 2023-04-30 16:23:43 Duration: 5ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
2 571ms 2,869 0ms 1ms 0ms SELECT ;Times Reported Time consuming prepare #2
Day Hour Count Duration Avg duration 16 2,869 571ms 0ms [ User: postgres - Total duration: 577ms - Times executed: 2869 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 296ms - Times executed: 148 ]
[ Application: [unknown] - Total duration: 280ms - Times executed: 2721 ]
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SELECT ;
Date: 2023-04-30 16:48:01 Duration: 1ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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SELECT ;
Date: 2023-04-30 16:01:01 Duration: 1ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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SELECT ;
Date: 2023-04-30 16:02:09 Duration: 1ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
3 499ms 7,333 0ms 3ms 0ms select 1;Times Reported Time consuming prepare #3
Day Hour Count Duration Avg duration 16 7,333 499ms 0ms [ User: postgres - Total duration: 43ms - Times executed: 7333 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 43ms - Times executed: 7333 ]
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select 1;
Date: 2023-04-30 16:12:56 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.0.239
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select 1;
Date: 2023-04-30 16:56:06 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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select 1;
Date: 2023-04-30 16:09:53 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
4 488ms 1,304 0ms 0ms 0ms INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming prepare #4
Day Hour Count Duration Avg duration 16 1,304 488ms 0ms [ User: postgres - Total duration: 2s252ms - Times executed: 1304 ]
[ Application: [unknown] - Total duration: 2s252ms - Times executed: 1304 ]
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INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2023-04-30 16:05:09 Duration: 0ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2023-04-30 16:05:13 Duration: 0ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2023-04-30 16:06:10 Duration: 0ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
5 327ms 596 0ms 2ms 0ms WITH rar_max as ( ;Times Reported Time consuming prepare #5
Day Hour Count Duration Avg duration 16 596 327ms 0ms [ User: postgres - Total duration: 21m57s - Times executed: 596 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 21m57s - Times executed: 596 ]
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WITH rar_max as ( ;
Date: 2023-04-30 16:34:39 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.250
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WITH rar_max as ( ;
Date: 2023-04-30 16:09:43 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.250
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WITH rar_max as ( ;
Date: 2023-04-30 16:22:32 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.250
6 260ms 241 0ms 1ms 1ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming prepare #6
Day Hour Count Duration Avg duration 16 241 260ms 1ms [ User: postgres - Total duration: 579ms - Times executed: 241 ]
[ Application: [unknown] - Total duration: 579ms - Times executed: 241 ]
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SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2023-04-30 16:01:46 Duration: 1ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2023-04-30 16:05:14 Duration: 1ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2023-04-30 16:02:12 Duration: 1ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
7 254ms 3,098 0ms 0ms 0ms INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming prepare #7
Day Hour Count Duration Avg duration 16 3,098 254ms 0ms [ User: postgres - Total duration: 498ms - Times executed: 3098 ]
[ Application: [unknown] - Total duration: 498ms - Times executed: 3098 ]
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INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2023-04-30 16:06:01 Duration: 0ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2023-04-30 16:05:59 Duration: 0ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2023-04-30 16:15:59 Duration: 0ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
8 191ms 2,078 0ms 0ms 0ms INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming prepare #8
Day Hour Count Duration Avg duration 16 2,078 191ms 0ms [ User: postgres - Total duration: 412ms - Times executed: 2078 ]
[ Application: [unknown] - Total duration: 412ms - Times executed: 2078 ]
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INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2023-04-30 16:05:53 Duration: 0ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2023-04-30 16:06:54 Duration: 0ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2023-04-30 16:06:01 Duration: 0ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
9 164ms 75 0ms 6ms 2ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059725121308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming prepare #9
Day Hour Count Duration Avg duration 16 75 164ms 2ms [ User: postgres - Total duration: 22ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 22ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059725121308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:36:06 Duration: 6ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059725121308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:04:05 Duration: 4ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059725121308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:32:06 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
10 121ms 75 0ms 3ms 1ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059711596308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming prepare #10
Day Hour Count Duration Avg duration 16 75 121ms 1ms [ User: postgres - Total duration: 1s118ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s118ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059711596308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:04 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059711596308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:16:05 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059711596308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:56:06 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
11 102ms 74 0ms 3ms 1ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059759428308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming prepare #11
Day Hour Count Duration Avg duration 16 74 102ms 1ms [ User: postgres - Total duration: 75ms - Times executed: 74 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 75ms - Times executed: 74 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059759428308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:25:52 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059759428308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:01:52 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059759428308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:04 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
12 97ms 75 0ms 3ms 1ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059722409308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming prepare #12
Day Hour Count Duration Avg duration 16 75 97ms 1ms [ User: postgres - Total duration: 2s29ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2s29ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059722409308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:05 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059722409308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:21:53 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059722409308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:16:05 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
13 97ms 75 0ms 3ms 1ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming prepare #13
Day Hour Count Duration Avg duration 16 75 97ms 1ms [ User: postgres - Total duration: 1s3ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s3ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:12:05 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:06 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:44:07 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
14 96ms 34 0ms 18ms 2ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 49 AND sg.groupid = 515852059820763308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming prepare #14
Day Hour Count Duration Avg duration 16 34 96ms 2ms [ User: postgres - Total duration: 1s532ms - Times executed: 34 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s532ms - Times executed: 34 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 49 AND sg.groupid = 515852059820763308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:56:06 Duration: 18ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 49 AND sg.groupid = 515852059820763308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:16:05 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 49 AND sg.groupid = 515852059820763308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:04:04 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
15 96ms 75 0ms 3ms 1ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701110308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming prepare #15
Day Hour Count Duration Avg duration 16 75 96ms 1ms [ User: postgres - Total duration: 446ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 446ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701110308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:04:59 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701110308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:45:00 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701110308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:59 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
16 95ms 75 0ms 12ms 1ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059704165308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming prepare #16
Day Hour Count Duration Avg duration 16 75 95ms 1ms [ User: postgres - Total duration: 1s706ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s706ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059704165308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:06 Duration: 12ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059704165308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:24:07 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059704165308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:06 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
17 94ms 48 0ms 4ms 1ms /*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((symbol ilike '%audcad%' AND timegranularity <= 1440);Times Reported Time consuming prepare #17
Day Hour Count Duration Avg duration 16 48 94ms 1ms [ User: postgres - Total duration: 367ms - Times executed: 48 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 367ms - Times executed: 48 ]
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((symbol ilike '%audcad%' AND timegranularity <= 1440);
Date: 2023-04-30 16:49:41 Duration: 4ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((symbol ilike '%audcad%' AND timegranularity <= 1440);
Date: 2023-04-30 16:59:44 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((symbol ilike '%audcad%' AND timegranularity <= 1440);
Date: 2023-04-30 16:35:43 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
18 93ms 30 1ms 16ms 3ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 558 AND sg.groupid = 515852059703453308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming prepare #18
Day Hour Count Duration Avg duration 16 30 93ms 3ms [ User: postgres - Total duration: 639ms - Times executed: 30 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 639ms - Times executed: 30 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 558 AND sg.groupid = 515852059703453308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:02:15 Duration: 16ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 558 AND sg.groupid = 515852059703453308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:58:16 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 558 AND sg.groupid = 515852059703453308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:38:16 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
19 90ms 30 2ms 3ms 3ms /*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601885613546107301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;Times Reported Time consuming prepare #19
Day Hour Count Duration Avg duration 16 30 90ms 3ms [ User: postgres - Total duration: 19ms - Times executed: 30 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 19ms - Times executed: 30 ]
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601885613546107301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:37:53 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601885613546107301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:09:53 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601885613546107301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:25:53 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
20 89ms 30 0ms 16ms 2ms /*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059714438308 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601887272524247301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;Times Reported Time consuming prepare #20
Day Hour Count Duration Avg duration 16 30 89ms 2ms [ User: postgres - Total duration: 55ms - Times executed: 30 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 55ms - Times executed: 30 ]
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059714438308 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601887272524247301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:12:05 Duration: 16ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059714438308 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601887272524247301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:45:54 Duration: 7ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059714438308 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601887272524247301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2023-04-30 16:56:06 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
Time consuming bind
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 10s853ms 1,104 0ms 61ms 9ms WITH rar_max as ( ;Times Reported Time consuming bind #1
Day Hour Count Duration Avg duration Apr 30 16 1,104 10s853ms 9ms [ User: postgres - Total duration: 38m52s - Times executed: 1104 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 32m16s - Times executed: 1039 ]
[ Application: [unknown] - Total duration: 6m35s - Times executed: 65 ]
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WITH rar_max as ( ;
Date: 2023-04-30 16:05:40 Duration: 61ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.135 parameters: $1 = 't', $2 = '643', $3 = '7', $4 = '15', $5 = '30', $6 = '60', $7 = '120', $8 = '240', $9 = '480', $10 = '1440', $11 = '0', $12 = '', $13 = '0', $14 = '', $15 = '0', $16 = '', $17 = '0', $18 = '0', $19 = '0', $20 = '0', $21 = '0', $22 = 't', $23 = '10', $24 = '10'
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WITH rar_max as ( ;
Date: 2023-04-30 16:45:32 Duration: 48ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.135 parameters: $1 = 't', $2 = '689', $3 = '0', $4 = '0', $5 = '0', $6 = '', $7 = '0', $8 = '', $9 = '0', $10 = '', $11 = '0', $12 = '0', $13 = '0', $14 = '0', $15 = '0', $16 = 't', $17 = '0', $18 = '0'
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WITH rar_max as ( ;
Date: 2023-04-30 16:06:10 Duration: 33ms Database: postgres User: acaweb_fx Remote: postgres Application: 182.165.1.42 parameters: $1 = 't', $2 = '689', $3 = '7', $4 = '15', $5 = '30', $6 = '60', $7 = '120', $8 = '240', $9 = '480', $10 = '1440', $11 = '0', $12 = '', $13 = '312', $14 = '#AAPL', $15 = '#ADS', $16 = '#AIG', $17 = '#ALV', $18 = '#AMZN', $19 = '#AXP', $20 = '#BA', $21 = '#BABA', $22 = '#BAC', $23 = '#BAS', $24 = '#BAYN', $25 = '#BEI', $26 = '#BIDU', $27 = '#BMW', $28 = '#C', $29 = '#CAT', $30 = '#CBK', $31 = '#CL', $32 = '#CSCO', $33 = '#CVX', $34 = '#DAI', $35 = '#DB1', $36 = '#DBK', $37 = '#DIS', $38 = '#DPW', $39 = '#DTE', $40 = '#EBAY', $41 = '#EON', $42 = '#F', $43 = '#FB', $44 = '#FDX', $45 = '#FME', $46 = '#GE', $47 = '#GM', $48 = '#GOOG', $49 = '#GS', $50 = '#HPQ', $51 = '#IBM', $52 = '#IFX', $53 = '#INTC', $54 = '#JD', $55 = '#JNJ', $56 = '#JPM', $57 = '#KO', $58 = '#LHA', $59 = '#LIN', $60 = '#LMT', $61 = '#MA', $62 = '#MCD', $63 = '#META', $64 = '#MMM', $65 = '#MSFT', $66 = '#MUV2', $67 = '#NFLX', $68 = '#NKE', $69 = '#NTES', $70 = '#ORCL', $71 = '#PFE', $72 = '#PG', $73 = '#QCOM', $74 = '#RACE', $75 = '#RWE', $76 = '#SAP', $77 = '#SIE', $78 = '#T', $79 = '#UBER', $80 = '#V', $81 = '#VOW', $82 = '#WB', $83 = '#XOM', $84 = 'AUDCAD', $85 = 'AUDCHF', $86 = 'AUDJPY', $87 = 'AUDNZD', $88 = 'AUDUSD', $89 = 'AUS200', $90 = 'BRENT', $91 = 'BTCUSD', $92 = 'CADCHF', $93 = 'CADJPY', $94 = 'CHFJPY', $95 = 'CHI50', $96 = 'ESP35', $97 = 'ETHUSD', $98 = 'EU50', $99 = 'EURAUD', $100 = 'EURCAD', $101 = 'EURCHF', $102 = 'EURGBP', $103 = 'EURHUF', $104 = 'EURJPY', $105 = 'EURNZD', $106 = 'EURPLN', $107 = 'EURUSD', $108 = 'FRA40', $109 = 'GBPAUD', $110 = 'GBPCAD', $111 = 'GBPCHF', $112 = 'GBPJPY', $113 = 'GBPNZD', $114 = 'GBPUSD', $115 = 'GER30', $116 = 'HK50', $117 = 'HKCH50', $118 = 'IT40', $119 = 'JP225', $120 = 'LTCUSD', $121 = 'NAS100', $122 = 'NZDCAD', $123 = 'NZDCHF', $124 = 'NZDJPY', $125 = 'NZDUSD', $126 = 'SPX500', $127 = 'UK100', $128 = 'US30', $129 = 'USDCAD', $130 = 'USDCHF', $131 = 'USDCNH', $132 = 'USDCZK', $133 = 'USDDKK', $134 = 'USDHKD', $135 = 'USDHUF', $136 = 'USDJPY', $137 = 'USDMXN', $138 = 'USDNOK', $139 = 'USDPLN', $140 = 'USDSEK', $141 = 'USDSGD', $142 = 'USDTRY', $143 = 'USDX', $144 = 'USDZAR', $145 = 'WTI', $146 = 'XAGUSD', $147 = 'XAUUSD', $148 = '#ADS', $149 = '#ALV', $150 = '#BAS', $151 = '#BAYN', $152 = '#BEI', $153 = '#BMW', $154 = '#CBK', $155 = '#DAI', $156 = '#DB1', $157 = '#DBK', $158 = '#DPW', $159 = '#DTE', $160 = '#EON', $161 = '#FME', $162 = '#IFX', $163 = '#LHA', $164 = '#LIN', $165 = '#MUV2', $166 = '#RWE', $167 = '#SAP', $168 = '#SIE', $169 = '#VOW', $170 = 'AUDCAD', $171 = 'AUDCHF', $172 = 'AUDJPY', $173 = 'AUDNZD', $174 = 'AUDUSD', $175 = 'CADCHF', $176 = 'CADJPY', $177 = 'CHFJPY', $178 = 'EURAUD', $179 = 'EURCAD', $180 = 'EURCHF', $181 = 'EURGBP', $182 = 'EURHUF', $183 = 'EURJPY', $184 = 'EURNZD', $185 = 'EURPLN', $186 = 'EURUSD', $187 = 'GBPAUD', $188 = 'GBPCAD', $189 = 'GBPCHF', $190 = 'GBPJPY', $191 = 'GBPNZD', $192 = 'GBPUSD', $193 = 'NZDCAD', $194 = 'NZDCHF', $195 = 'NZDJPY', $196 = 'NZDUSD', $197 = 'USDCAD', $198 = 'USDCHF', $199 = 'USDCNH', $200 = 'USDCZK', $201 = 'USDDKK', $202 = 'USDHKD', $203 = 'USDHUF', $204 = 'USDJPY', $205 = 'USDMXN', $206 = 'USDNOK', $207 = 'USDPLN', $208 = 'USDSEK', $209 = 'USDSGD', $210 = 'USDTRY', $211 = 'USDX', $212 = 'USDZAR', $213 = 'XAGUSD', $214 = 'XAUUSD', $215 = 'BTCUSD', $216 = 'ETHUSD', $217 = 'LTCUSD', $218 = 'AUDCAD', $219 = 'AUDCHF', $220 = 'AUDJPY', $221 = 'AUDNZD', $222 = 'CADCHF', $223 = 'CADJPY', $224 = 'CHFJPY', $225 = 'EURAUD', $226 = 'EURCAD', $227 = 'EURCHF', $228 = 'EURGBP', $229 = 'EURHUF', $230 = 'EURJPY', $231 = 'EURNZD', $232 = 'EURPLN', $233 = 'GBPAUD', $234 = 'GBPCAD', $235 = 'GBPCHF', $236 = 'GBPJPY', $237 = 'GBPNZD', $238 = 'NZDCAD', $239 = 'NZDCHF', $240 = 'NZDJPY', $241 = 'USDCNH', $242 = 'USDCZK', $243 = 'USDDKK', $244 = 'USDHKD', $245 = 'USDHUF', $246 = 'USDMXN', $247 = 'USDNOK', $248 = 'USDPLN', $249 = 'USDSEK', $250 = 'USDSGD', $251 = 'USDTRY', $252 = 'USDX', $253 = 'USDZAR', $254 = 'XAGUSD', $255 = 'XAUUSD', $256 = 'BRENT', $257 = 'WTI', $258 = 'AUS200', $259 = 'CHI50', $260 = 'ESP35', $261 = 'EU50', $262 = 'FRA40', $263 = 'GER30', $264 = 'HK50', $265 = 'HKCH50', $266 = 'IT40', $267 = 'JP225', $268 = 'NAS100', $269 = 'SPX500', $270 = 'UK100', $271 = 'US30', $272 = 'AUDUSD', $273 = 'EURUSD', $274 = 'GBPUSD', $275 = 'NZDUSD', $276 = 'USDCAD', $277 = 'USDCHF', $278 = 'USDJPY', $279 = '#AAPL', $280 = '#AIG', $281 = '#AMZN', $282 = '#AXP', $283 = '#BA', $284 = '#BABA', $285 = '#BAC', $286 = '#BIDU', $287 = '#C', $288 = '#CAT', $289 = '#CL', $290 = '#CSCO', $291 = '#CVX', $292 = '#DIS', $293 = '#EBAY', $294 = '#F', $295 = '#FB', $296 = '#FDX', $297 = '#GE', $298 = '#GM', $299 = '#GOOG', $300 = '#GS', $301 = '#HPQ', $302 = '#IBM', $303 = '#INTC', $304 = '#JD', $305 = '#JNJ', $306 = '#JPM', $307 = '#KO', $308 = '#LMT', $309 = '#MA', $310 = '#MCD', $311 = '#MMM', $312 = '#MSFT', $313 = '#NFLX', $314 = '#NKE', $315 = '#NTES', $316 = '#ORCL', $317 = '#PFE', $318 = '#PG', $319 = '#QCOM', $320 = '#RACE', $321 = '#T', $322 = '#UBER', $323 = '#V', $324 = '#WB', $325 = '#XOM', $326 = '0', $327 = '', $328 = '400', $329 = '400', $330 = '0', $331 = '0', $332 = '0', $333 = 't', $334 = '10', $335 = '10'
2 1s812ms 75 10ms 54ms 24ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059725121308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #2
Day Hour Count Duration Avg duration 16 75 1s812ms 24ms [ User: postgres - Total duration: 22ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 22ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059725121308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:40:06 Duration: 54ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '0', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059725121308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:05:53 Duration: 52ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '0', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059725121308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:21:53 Duration: 51ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '0', $7 = '0'
3 1s589ms 75 10ms 47ms 21ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059711596308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #3
Day Hour Count Duration Avg duration 16 75 1s589ms 21ms [ User: postgres - Total duration: 1s118ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s118ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059711596308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:24:06 Duration: 47ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-686149265', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059711596308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:05 Duration: 46ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-686149265', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059711596308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:48:06 Duration: 43ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-686149265', $7 = '0'
4 1s420ms 75 10ms 53ms 18ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #4
Day Hour Count Duration Avg duration 16 75 1s420ms 18ms [ User: postgres - Total duration: 1s3ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s3ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:48:07 Duration: 53ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '260331327', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:12:05 Duration: 50ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '260331327', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059720124308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:40:06 Duration: 45ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '260331327', $7 = '0'
5 1s341ms 75 10ms 57ms 17ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059722409308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #5
Day Hour Count Duration Avg duration 16 75 1s341ms 17ms [ User: postgres - Total duration: 2s29ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2s29ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059722409308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:05 Duration: 57ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-248925657', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059722409308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:05:53 Duration: 44ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-248925657', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059722409308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:05 Duration: 35ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-248925657', $7 = '0'
6 1s340ms 74 10ms 38ms 18ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059759428308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #6
Day Hour Count Duration Avg duration 16 74 1s340ms 18ms [ User: postgres - Total duration: 75ms - Times executed: 74 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 75ms - Times executed: 74 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059759428308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:04 Duration: 38ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '0', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059759428308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:05 Duration: 37ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '0', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059759428308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:12:05 Duration: 28ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '0', $7 = '0'
7 1s315ms 75 10ms 25ms 17ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059704165308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #7
Day Hour Count Duration Avg duration 16 75 1s315ms 17ms [ User: postgres - Total duration: 1s706ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s706ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059704165308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:06 Duration: 25ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1342575793', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059704165308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:06 Duration: 25ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1342575793', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059704165308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:40:07 Duration: 24ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1342575793', $7 = '0'
8 1s305ms 75 10ms 31ms 17ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059709228308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #8
Day Hour Count Duration Avg duration 16 75 1s305ms 17ms [ User: postgres - Total duration: 2s647ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2s647ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059709228308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:16:05 Duration: 31ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1531458239', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059709228308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:44:06 Duration: 31ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1531458239', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059709228308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:56:06 Duration: 31ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1531458239', $7 = '0'
9 1s253ms 3,253 0ms 2ms 0ms SELECT ;Times Reported Time consuming bind #9
Day Hour Count Duration Avg duration 16 3,253 1s253ms 0ms [ User: postgres - Total duration: 1s294ms - Times executed: 3253 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 995ms - Times executed: 522 ]
[ Application: [unknown] - Total duration: 298ms - Times executed: 2731 ]
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SELECT ;
Date: 2023-04-30 16:36:00 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.20 parameters: $1 = '601897034753472302', $2 = '601897034753472302', $3 = '601897034753472302'
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SELECT ;
Date: 2023-04-30 16:21:00 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.20 parameters: $1 = '601895989307151302', $2 = '601895989307151302', $3 = '601895989307151302'
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SELECT ;
Date: 2023-04-30 16:02:09 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142 parameters: $1 = 'LEADERCAPITAL2', $2 = 'F_BIMAS0123', $3 = '15', $4 = '2023-02-03 09:00:00', $5 = '2023-02-03 09:15:00'
10 1s241ms 75 10ms 45ms 16ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059706590308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #10
Day Hour Count Duration Avg duration 16 75 1s241ms 16ms [ User: postgres - Total duration: 2s442ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2s442ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059706590308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:06 Duration: 45ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1226502359', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059706590308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:04:06 Duration: 44ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1226502359', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059706590308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:06 Duration: 31ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1226502359', $7 = '0'
11 1s222ms 75 10ms 58ms 16ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059715831308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #11
Day Hour Count Duration Avg duration 16 75 1s222ms 16ms [ User: postgres - Total duration: 2s224ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2s224ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059715831308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:06 Duration: 58ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '684697087', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059715831308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:04:06 Duration: 48ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '684697087', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059715831308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:04:06 Duration: 45ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '684697087', $7 = '0'
12 1s171ms 75 10ms 36ms 15ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059714438308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #12
Day Hour Count Duration Avg duration 16 75 1s171ms 15ms [ User: postgres - Total duration: 3s379ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 3s379ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059714438308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:12:06 Duration: 36ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '120006327', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059714438308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:16:06 Duration: 32ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '120006327', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059714438308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:06 Duration: 27ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '120006327', $7 = '0'
13 1s150ms 30 22ms 59ms 38ms /*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059706590308 AND patternlengthbars >= 20 AND averagequality >= 0.3 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601885613756608302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;Times Reported Time consuming bind #13
Day Hour Count Duration Avg duration 16 30 1s150ms 38ms [ User: postgres - Total duration: 147ms - Times executed: 30 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 147ms - Times executed: 30 ]
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059706590308 AND patternlengthbars >= 20 AND averagequality >= 0.3 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601885613756608302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2023-04-30 16:12:05 Duration: 59ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059706590308 AND patternlengthbars >= 20 AND averagequality >= 0.3 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601885613756608302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2023-04-30 16:24:06 Duration: 58ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059706590308 AND patternlengthbars >= 20 AND averagequality >= 0.3 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 601885613756608302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2023-04-30 16:12:05 Duration: 55ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
14 1s150ms 75 10ms 28ms 15ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701110308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #14
Day Hour Count Duration Avg duration 16 75 1s150ms 15ms [ User: postgres - Total duration: 446ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 446ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701110308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:59 Duration: 28ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1907228089', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701110308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:01:00 Duration: 27ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1907228089', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701110308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:04:59 Duration: 26ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1907228089', $7 = '0'
15 1s83ms 75 10ms 25ms 14ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059751072308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #15
Day Hour Count Duration Avg duration 16 75 1s83ms 14ms [ User: postgres - Total duration: 5s30ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 5s30ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059751072308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:51:43 Duration: 25ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1101750359', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059751072308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:55:43 Duration: 24ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1101750359', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059751072308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:29:04 Duration: 24ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1901812087', $7 = '0'
16 1s78ms 75 10ms 22ms 14ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059764704308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #16
Day Hour Count Duration Avg duration 16 75 1s78ms 14ms [ User: postgres - Total duration: 1s542ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s542ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059764704308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:01:00 Duration: 22ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1764172209', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059764704308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:01:01 Duration: 22ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1764172209', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059764704308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:21:00 Duration: 22ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1764172209', $7 = '0'
17 1s59ms 75 10ms 22ms 14ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059703453308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #17
Day Hour Count Duration Avg duration 16 75 1s59ms 14ms [ User: postgres - Total duration: 1s599ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s599ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059703453308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:49:01 Duration: 22ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '2020000359', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059703453308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:21:00 Duration: 22ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '2020000359', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059703453308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:57:01 Duration: 21ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '2020000359', $7 = '0'
18 1s56ms 75 10ms 27ms 14ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #18
Day Hour Count Duration Avg duration 16 75 1s56ms 14ms [ User: postgres - Total duration: 6s495ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 6s495ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:04:06 Duration: 27ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '517801519', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:20:07 Duration: 25ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '517801519', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059718346308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:20:07 Duration: 25ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '2135540087', $7 = '0'
19 1s35ms 75 10ms 24ms 13ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059758978308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #19
Day Hour Count Duration Avg duration 16 75 1s35ms 13ms [ User: postgres - Total duration: 5s643ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 5s643ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059758978308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:04:06 Duration: 24ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-139142513', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059758978308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:08:06 Duration: 24ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-139142513', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059758978308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:24:07 Duration: 20ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-139142513', $7 = '0'
20 1s29ms 75 10ms 26ms 13ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701568308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #20
Day Hour Count Duration Avg duration 16 75 1s29ms 13ms [ User: postgres - Total duration: 808ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 808ms - Times executed: 75 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701568308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:04:59 Duration: 26ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1421790553', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701568308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:59 Duration: 25ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1421790553', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 515852059701568308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2023-04-30 16:00:59 Duration: 22ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1421790553', $7 = '0'
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Events
Log levels
Key values
- 634,625 Log entries
Events distribution
Key values
- 0 PANIC entries
- 0 FATAL entries
- 73 ERROR entries
- 0 WARNING entries
Most Frequent Errors/Events
Key values
- 68 Max number of times the same event was reported
- 73 Total events found
Rank Times reported Error 1 68 ERROR: Downloader symbol ... on classname ... already exists. Use the add_downloadersymboltobroker_retool function instead.
Times Reported Most Frequent Error / Event #1
Day Hour Count Apr 30 16 68 - ERROR: Downloader symbol [GBPJPY.rs] on classname [VALBURYFUTURES] already exists. Use the add_downloadersymboltobroker_retool function instead.
- ERROR: Downloader symbol [AUDUSD.rs] on classname [VALBURYFUTURES] already exists. Use the add_downloadersymboltobroker_retool function instead.
- ERROR: Downloader symbol [USDCHF.rs] on classname [VALBURYFUTURES] already exists. Use the add_downloadersymboltobroker_retool function instead.
Context: PL/pgSQL function addsymbolsv8_retool(character varying,character varying,character varying,character varying,character varying,character varying,integer,character varying,bigint,integer,boolean,boolean) line 64 at RAISE
Statement: SELECT * FROM "public"."addsymbolsv8_retool"($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12)Date: 2023-04-30 16:01:39 Database: acaweb_fx Application: dreamfactory User: postgres Remote: 192.168.1.44
Context: PL/pgSQL function addsymbolsv8_retool(character varying,character varying,character varying,character varying,character varying,character varying,integer,character varying,bigint,integer,boolean,boolean) line 64 at RAISE
Statement: SELECT * FROM "public"."addsymbolsv8_retool"($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12)Date: 2023-04-30 16:12:50 Database: acaweb_fx Application: dreamfactory User: postgres Remote: 192.168.1.44
Context: PL/pgSQL function addsymbolsv8_retool(character varying,character varying,character varying,character varying,character varying,character varying,integer,character varying,bigint,integer,boolean,boolean) line 64 at RAISE
Statement: SELECT * FROM "public"."addsymbolsv8_retool"($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12)Date: 2023-04-30 16:15:11 Database: acaweb_fx Application: dreamfactory User: postgres Remote: 192.168.1.44
2 3 ERROR: duplicate key value violates unique constraint "..."
Times Reported Most Frequent Error / Event #2
Day Hour Count Apr 30 16 3 - ERROR: duplicate key value violates unique constraint "idx_uniq_mt4datafeederrors_des"
Detail: Key (datafeedname, eventtimestamp, status)=(GKINVESTMT5, 2023-04-30 14:05:21, OK) already exists.
Statement: insert into "public"."mt4datafeederrors" ("datafeedname", "eventtimestamp", "errordescription", "status", "serveraddress", "username") values ($1, $2, $3, $4, $5, $6) returning "id"Date: 2023-04-30 16:05:21 Database: acaweb_fx Application: dreamfactory User: postgres Remote: 192.168.1.44
3 2 ERROR: relation "..." does not exist
Times Reported Most Frequent Error / Event #3
Day Hour Count Apr 30 16 2 - ERROR: relation "timezones_vi_vn" does not exist at character 191
- ERROR: relation "t0" does not exist at character 83
Statement: SELECT tl.timezone langTimezone, t.timezone as timezone, (cast(substring(t.gmoffset,0,4) as double precision)*60 + cast(substring(t.gmoffset,5,2) as double precision))/60 as gmoffset FROM timezones_vi_VN tl INNER JOIN timezones t ON tl.timezoneid = t.timezoneid ORDER BY t.timezone
Date: 2023-04-30 16:02:22 Database: acaweb_fx Application: PostgreSQL JDBC Driver User: postgres Remote: 192.168.1.201
Statement: SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T0 WHERE symbolid = $1 AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050 ) a ORDER BY PriceDateTime ASC
Date: 2023-04-30 16:07:02 Database: acaweb_fx Application: PostgreSQL JDBC Driver User: postgres Remote: 192.168.1.23