pgBadger-
Global information
- Generated on Sun Oct 23 12:59:59 2022
- Log file: /home/postgres/pg_data/data/pg_log/postgresql-2022-10-23_140000.log, ..., /home/postgres/pg_data/data/pg_log/postgresql-2022-10-23_144631.log
- Parsed 856,021 log entries in 58s
- Log start from 2022-10-23 14:00:00 to 2022-10-23 14:59:56
-
Overview
Global Stats
- 4,001 Number of unique normalized queries
- 94,078 Number of queries
- 3h2m41s Total query duration
- 2022-10-23 14:00:00 First query
- 2022-10-23 14:59:56 Last query
- 547 queries/s at 2022-10-23 14:15:42 Query peak
- 3h2m41s Total query duration
- 20s99ms Prepare/parse total duration
- 3m47s Bind total duration
- 2h58m33s Execute total duration
- 147 Number of events
- 1 Number of unique normalized events
- 147 Max number of times the same event was reported
- 0 Number of cancellation
- 57 Total number of automatic vacuums
- 56 Total number of automatic analyzes
- 681 Number temporary file
- 1.91 GiB Max size of temporary file
- 4.37 MiB Average size of temporary file
- 5,806 Total number of sessions
- 13 sessions at 2022-10-23 14:33:28 Session peak
- 29d12h57m9s Total duration of sessions
- 7m19s Average duration of sessions
- 16 Average queries per session
- 1s887ms Average queries duration per session
- 7m17s Average idle time per session
- 5,804 Total number of connections
- 62 connections/s at 2022-10-23 14:35:20 Connection peak
- 1 Total number of databases
SQL Traffic
Key values
- 547 queries/s Query Peak
- 2022-10-23 14:15:42 Date
SELECT Traffic
Key values
- 370 queries/s Query Peak
- 2022-10-23 14:35:13 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 321 queries/s Query Peak
- 2022-10-23 14:31:54 Date
Queries duration
Key values
- 3h2m41s 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) Oct 23 14 94,078 0ms 14m59s 113ms 6m7s 8m20s 16m19s Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Oct 23 14 58,383 26 58ms 1m11s 2m42s 6m34s Day Hour INSERT UPDATE DELETE COPY FROM Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Oct 23 14 23,927 763 16 96 94ms 53s322ms 56s409ms 1m3s Day Hour Prepare Bind Bind/Prepare Percentage of prepare Oct 23 14 37,819 61,090 1.62 44.37% Day Hour Count Average / Second Oct 23 14 5,804 1.61/s Day Hour Count Average Duration Average idle time Oct 23 14 5,806 7m19s 7m17s -
Connections
Established Connections
Key values
- 62 connections Connection Peak
- 2022-10-23 14:35:20 Date
Connections per database
Key values
- acaweb_fx Main Database
- 5,804 connections Total
Connections per user
Key values
- postgres Main User
- 5,804 connections Total
Connections per host
Key values
- 192.168.1.23 Main host with 1895 connections
- 5,804 Total connections
Host Count 127.0.0.1 123 172.10.1.90 23 182.165.1.42 11 192.168.0.216 180 192.168.0.23 8 192.168.0.239 2 192.168.0.42 109 192.168.1.135 41 192.168.1.201 1,172 192.168.1.23 1,895 192.168.1.239 168 192.168.1.25 6 192.168.1.250 184 192.168.1.44 182 192.168.1.45 172 192.168.2.126 18 192.168.2.205 28 192.168.2.82 44 192.168.3.100 6 192.168.3.199 91 192.168.4.142 971 192.168.4.98 104 [local] 266 -
Sessions
Simultaneous sessions
Key values
- 13 sessions Session Peak
- 2022-10-23 14:33:28 Date
Histogram of session times
Key values
- 4,866 0-500ms duration
Sessions per database
Key values
- acaweb_fx Main Database
- 5,806 sessions Total
Sessions per user
Key values
- postgres Main User
- 5,806 sessions Total
Sessions per host
Key values
- 192.168.1.23 Main Host
- 5,806 sessions Total
Host Count Total Duration Average Duration 127.0.0.1 123 1h8s 29s336ms 172.10.1.90 23 1m57s 5s119ms 182.165.1.42 11 4h51m20s 26m29s 192.168.0.216 180 1h15m45s 25s251ms 192.168.0.23 11 13d6h55m52s 1d4h59m37s 192.168.0.239 3 2h38m58s 52m59s 192.168.0.42 108 1h54m35s 1m3s 192.168.1.135 43 14d16h46m7s 8h12m14s 192.168.1.201 1,172 2h7m30s 6s528ms 192.168.1.23 1,895 2h17m14s 4s345ms 192.168.1.239 168 1s190ms 7ms 192.168.1.25 6 49ms 8ms 192.168.1.250 184 13h14m34s 4m19s 192.168.1.44 182 4s636ms 25ms 192.168.1.45 171 1h35m51s 33s633ms 192.168.2.126 18 5s431ms 301ms 192.168.2.205 28 2h4m 4m25s 192.168.2.82 44 3h30m16s 4m46s 192.168.3.100 4 4m55s 1m13s 192.168.3.199 91 3m24s 2s243ms 192.168.4.142 971 6m38s 410ms 192.168.4.98 104 59s350ms 570ms [local] 266 26m47s 6s43ms -
Checkpoints / Restartpoints
Checkpoints Buffers
Key values
- 33,202 buffers Checkpoint Peak
- 2022-10-23 14:03:12 Date
- 209.951 seconds Highest write time
- 4.286 seconds Sync time
Checkpoints Wal files
Key values
- 150 files Wal files usage Peak
- 2022-10-23 14:16:56 Date
Checkpoints distance
Key values
- 4,796.95 Mo Distance Peak
- 2022-10-23 14:16:56 Date
Checkpoints Activity
↑ Back to the top of the Checkpoint Activity tableDay Hour Written buffers Write time Sync time Total time Oct 23 14 113,963 2,055.482s 12.012s 2,072.034s Day Hour Added Removed Recycled Synced files Longest sync Average sync Oct 23 14 0 70 463 1,792 1.914s 0.062s Day Hour Count Avg time (sec) Oct 23 14 0 0s Day Hour Mean distance Mean estimate Oct 23 14 791,321.36 kB 1,776,530.91 kB -
Temporary Files
Size of temporary files
Key values
- 53.73 MiB Temp Files size Peak
- 2022-10-23 14:15:16 Date
Number of temporary files
Key values
- 14 per second Temp Files Peak
- 2022-10-23 14:15:11 Date
Temporary Files Activity
↑ Back to the top of the Temporary Files Activity tableDay Hour Count Total size Average size Oct 23 14 681 2.91 GiB 4.37 MiB Queries generating the most temporary files (N)
Rank Count Total size Min size Max size Avg size Query 1 124 774.23 MiB 2.89 MiB 10.50 MiB 6.24 MiB with rar_max as ( ;-
WITH rar_max as ( ;
Date: 2022-10-23 14:47:13 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver
2 26 120.97 MiB 3.90 MiB 6.18 MiB 4.65 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 = 566 AND sg.groupid = 515852059923228308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '689993823' 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: 2022-10-23 14:17:20 Duration: 18s59ms 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 = 566 AND sg.groupid = 515852059923228308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '689993823' 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: 2022-10-23 14:04:47 Duration: 14s235ms 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 = 566 AND sg.groupid = 515852059765687308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-1395780025' 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: 2022-10-23 14:04:45 Duration: 13s293ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver
3 14 87.02 MiB 3.16 MiB 12.33 MiB 6.22 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 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 ?;-
/*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 = 515852059758978308 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: 2022-10-23 14:04:22 Duration: 20s565ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver
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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 = 515852059718346308 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: 2022-10-23 14:04:22 Duration: 18s871ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver
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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 = 515852059704165308 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: 2022-10-23 14:04:04 Duration: 13s198ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver
4 3 15.97 MiB 3.06 MiB 6.81 MiB 5.32 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 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 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 patternendtime desc, patternquality desc limit ?;-
/*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 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 WHERE b.brokerid = 529 AND sg.groupid = 515852059758978308 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 PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-10-23 14:11:19 Duration: 3s763ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver
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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 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 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 > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-10-23 14:11:18 Duration: 2s960ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver
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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 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 WHERE b.brokerid = 529 AND sg.groupid = 515852059711596308 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 PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-10-23 14:11:16 Duration: 1s648ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver
5 2 10.17 MiB 3.16 MiB 7.02 MiB 5.09 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 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 = ? and ((rar.age is null and a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?)) or rar.age >= ?) order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
/*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 = 515852059718346308 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 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= 1) ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-10-23 14:21:30 Duration: 1s441ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver
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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 = 515852059758978308 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 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= 1) ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-10-23 14:21:30 Duration: 1s384ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver
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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 = 515852059722409308 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 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= 1) ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-10-23 14:21:29 Duration: 640ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver
6 1 1.91 GiB 1.91 GiB 1.91 GiB 1.91 GiB select powerstats_tdata_add ();-
select powerstats_tdata_add ();
Date: 2022-10-23 14:15:24 Duration: 14m59s Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select powerstats_tdata_add ();
Date: 2022-10-23 14:14:30 Duration: 0ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
7 1 10.10 MiB 10.10 MiB 10.10 MiB 10.10 MiB 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;-
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 = $1 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 = $2 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 ($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)) AND ($247 = 0 OR p.patternname in ($248)) AND ($249 = 0 OR kr.patternclassid in ($250, $251)) AND ($252 = 0 OR kr.patternlengthbars <= $253)), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $254 OR relevant = 1) AND ($255 = 0 OR age <= $256) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-10-23 14:10:00 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver
Queries generating the largest temporary files
Rank Size Query 1 1.91 GiB select powerstats_tdata_add ();[ Date: 2022-10-23 14:14:30 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2 12.33 MiB /*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 = 637 AND sg.groupid = 515852059875010308 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: 2022-10-23 14:40:31 - Database: acaweb_fx - User: postgres - Remote: 192.168.0.42 - Application: PostgreSQL JDBC Driver ]
3 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:01:42 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
4 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:09:21 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
5 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:12:29 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
6 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:17:56 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
7 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:21:33 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
8 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:25:46 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
9 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:30:44 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
10 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:35:45 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
11 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:40:44 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
12 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:45:44 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
13 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:50:46 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
14 10.50 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:55:44 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] ]
15 10.11 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:02:00 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver ]
16 10.11 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:03:06 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver ]
17 10.10 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:05:53 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver ]
18 10.10 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:10:00 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver ]
19 10.10 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:14:10 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver ]
20 10.10 MiB WITH rar_max as ( ;[ Date: 2022-10-23 14:18:53 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver ]
-
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 (26) Main table analyzed (database acaweb_fx)
- 56 analyzes Total
Table Number of analyzes acaweb_fx.public.solr_relevance_old 26 acaweb_fx.public.datafeeds_latestrun 5 acaweb_fx.pg_catalog.pg_attribute 4 acaweb_fx.pg_catalog.pg_index 2 acaweb_fx.public.latest_t15_candle_view 2 acaweb_fx.public.t60_ps 2 acaweb_fx.pg_catalog.pg_class 2 acaweb_fx.public.latest_candle_datetime_per_receng 2 acaweb_fx.pg_catalog.pg_type 2 acaweb_fx.public.t15_ps 2 acaweb_fx.public.t30_ps 2 acaweb_fx.public.powerstats_hourly 1 acaweb_fx.pg_catalog.pg_depend 1 acaweb_fx.public.relevance_keylevels_results 1 acaweb_fx.public.powerstats_symboldata 1 acaweb_fx.public.powerstats_daily 1 Total 56 Vacuums per table
Key values
- public.solr_relevance_old (34) Main table vacuumed on database acaweb_fx
- 57 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 34 11 56,722 0 1,656 0 125 20,804 1,788 9,945,404 acaweb_fx.public.datafeeds_latestrun 7 1 786 0 46 0 0 109 15 77,164 acaweb_fx.pg_catalog.pg_class 2 2 429 0 36 0 0 131 40 228,108 acaweb_fx.pg_catalog.pg_statistic 2 2 942 0 332 0 0 554 214 1,154,442 acaweb_fx.pg_toast.pg_toast_2619 1 1 103 0 38 0 0 83 31 143,422 acaweb_fx.public.powerstats_hourly 1 0 3,323 0 149 0 0 39 1 11,300 acaweb_fx.pg_catalog.pg_attribute 1 1 529 0 183 0 53 374 135 868,838 acaweb_fx.pg_catalog.pg_depend 1 1 288 0 98 0 56 176 79 443,775 acaweb_fx.public.latest_t15_candle_view 1 1 69 0 3 0 0 5 0 676 acaweb_fx.public.t60_ps 1 1 156,451 0 80,347 1 95,523 117,168 57,876 157,783,799 acaweb_fx.public.relevance_keylevels_results 1 1 2,597 0 646 0 15 1,178 619 3,136,861 acaweb_fx.pg_catalog.pg_type 1 1 116 0 22 0 0 55 17 112,795 acaweb_fx.public.t15_ps 1 1 868,831 0 283,618 0 236,199 502,820 206,174 755,648,877 acaweb_fx.public.powerstats_symboldata 1 1 2,988 0 265 0 354 2,110 73 561,923 acaweb_fx.public.t30_ps 1 1 422,384 0 146,373 0 194,481 251,766 140,098 477,240,578 acaweb_fx.public.powerstats_daily 1 0 547 0 128 0 0 24 2 12,532 Total 57 26 1,517,105 1,360,528 513,940 1 526,806 897,396 407,162 1,407,370,494 Tuples removed per table
Key values
- public.t15_ps (5638992) Main table with removed tuples on database acaweb_fx
- 10072313 tuples Total removed
Index Tuples Pages Table Vacuums scans removed remain not yet removable removed remain acaweb_fx.public.t15_ps 1 1 5,638,992 27,865,228 0 0 614,792 acaweb_fx.public.t30_ps 1 1 2,848,799 14,868,895 0 0 391,439 acaweb_fx.public.t60_ps 1 1 1,403,562 7,157,566 0 0 202,256 acaweb_fx.public.solr_relevance_old 34 11 176,769 1,098,891 467,922 0 22,220 acaweb_fx.public.relevance_keylevels_results 1 1 1,230 20,414 0 0 397 acaweb_fx.pg_catalog.pg_attribute 1 1 1,090 9,332 137 0 231 acaweb_fx.public.powerstats_symboldata 1 1 903 87,002 0 0 1,674 acaweb_fx.pg_catalog.pg_statistic 2 2 303 3,870 216 0 505 acaweb_fx.public.datafeeds_latestrun 7 1 188 469 287 0 154 acaweb_fx.pg_catalog.pg_depend 1 1 149 11,663 128 0 108 acaweb_fx.pg_catalog.pg_class 2 2 133 3,197 109 0 116 acaweb_fx.pg_catalog.pg_type 1 1 92 1,274 3 0 36 acaweb_fx.pg_toast.pg_toast_2619 1 1 55 195 20 0 51 acaweb_fx.public.latest_t15_candle_view 1 1 48 42 16 0 1 acaweb_fx.public.powerstats_hourly 1 0 0 224,457 0 0 1,871 acaweb_fx.public.powerstats_daily 1 0 0 66,032 0 0 553 Total 57 26 10,072,313 51,418,527 468,838 0 1,236,404 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_toast.pg_toast_2619 1 1 55 0 acaweb_fx.public.powerstats_hourly 1 0 0 0 acaweb_fx.public.datafeeds_latestrun 7 1 188 0 acaweb_fx.pg_catalog.pg_attribute 1 1 1090 0 acaweb_fx.pg_catalog.pg_depend 1 1 149 0 acaweb_fx.public.latest_t15_candle_view 1 1 48 0 acaweb_fx.public.t60_ps 1 1 1403562 0 acaweb_fx.public.relevance_keylevels_results 1 1 1230 0 acaweb_fx.pg_catalog.pg_class 2 2 133 0 acaweb_fx.pg_catalog.pg_type 1 1 92 0 acaweb_fx.public.t15_ps 1 1 5638992 0 acaweb_fx.pg_catalog.pg_statistic 2 2 303 0 acaweb_fx.public.powerstats_symboldata 1 1 903 0 acaweb_fx.public.t30_ps 1 1 2848799 0 acaweb_fx.public.solr_relevance_old 34 11 176769 0 acaweb_fx.public.powerstats_daily 1 0 0 0 Total 57 26 10,072,313 0 Autovacuum Activity
↑ Back to the top of the Autovacuum Activity tableDay Hour VACUUMs ANALYZEs Oct 23 14 57 56 - 0 sec Highest CPU-cost vacuum
-
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
- 58,383 Total read queries
- 26,854 Total write queries
Queries by database
Key values
- acaweb_fx Main database
- 94,078 Requests
- 2h58m33s (acaweb_fx)
- Main time consuming database
Queries by user
Key values
- postgres Main user
- 76,025 Requests
User Request type Count Duration pgperfstats Total 18,053 40m6s insert 5,746 35m59s others 6 0ms select 12,301 4m6s postgres Total 76,025 2h18m26s copy from 96 16s616ms copy to 26 6s754ms cte 1,802 1h21m57s ddl 16 779ms delete 16 25ms insert 18,181 58s810ms others 8,835 58s285ms select 46,082 52m27s tcl 208 280ms update 763 1m40s Duration by user
Key values
- 2h18m26s (postgres) Main time consuming user
User Request type Count Duration pgperfstats Total 18,053 40m6s insert 5,746 35m59s others 6 0ms select 12,301 4m6s postgres Total 76,025 2h18m26s copy from 96 16s616ms copy to 26 6s754ms cte 1,802 1h21m57s ddl 16 779ms delete 16 25ms insert 18,181 58s810ms others 8,835 58s285ms select 46,082 52m27s tcl 208 280ms update 763 1m40s Queries by host
Key values
- 192.168.1.23 Main host
- 19,614 Requests
- 56m38s (192.168.1.250)
- Main time consuming host
Host Request type Count Duration 127.0.0.1 Total 4,496 48s779ms copy to 26 6s754ms cte 20 271ms insert 759 8s548ms others 36 0ms select 3,263 30s808ms update 392 2s396ms 172.10.1.90 Total 92 156ms others 46 5ms select 42 78ms update 4 73ms 182.165.1.42 Total 315 21m43s cte 83 21m39s others 11 0ms select 221 4s163ms 192.168.0.216 Total 716 1s961ms insert 2 1s225ms others 356 30ms select 350 508ms update 8 195ms 192.168.0.23 Total 231 1s59ms others 16 0ms select 215 1s59ms 192.168.0.236 Total 14 29ms cte 3 1ms select 11 28ms 192.168.0.239 Total 49 289ms others 4 0ms select 45 289ms 192.168.0.42 Total 1,412 24s999ms cte 2 13ms insert 34 470ms others 218 2ms select 1,157 24s512ms update 1 0ms 192.168.1.135 Total 1,177 2m19s cte 308 2m5s others 82 0ms select 787 13s799ms 192.168.1.201 Total 13,463 11m57s cte 6 107ms insert 3 96ms others 2,344 24ms select 11,095 11m57s update 15 18ms 192.168.1.210 Total 36 123ms select 36 123ms 192.168.1.23 Total 19,614 14m24s cte 5 200ms insert 3 11ms others 3,790 46ms select 15,800 14m23s update 16 2ms 192.168.1.239 Total 672 379ms others 336 24ms select 336 354ms 192.168.1.25 Total 6 8ms select 6 8ms 192.168.1.250 Total 9,116 56m38s cte 1,273 55m49s others 368 3ms select 7,475 48s798ms 192.168.1.44 Total 586 466ms insert 30 443ms others 546 4ms select 10 18ms 192.168.1.45 Total 1,396 15s746ms cte 2 58ms others 344 3ms select 1,050 15s685ms 192.168.1.93 Total 2 0ms select 2 0ms 192.168.1.97 Total 26 168ms cte 4 4ms select 22 164ms 192.168.2.126 Total 30 26ms others 12 0ms select 18 26ms 192.168.2.205 Total 104 2s301ms insert 4 2s58ms others 48 4ms select 48 160ms update 4 78ms 192.168.2.82 Total 7,921 1m42s insert 7,068 31s258ms others 88 8ms select 614 1m10s update 151 719ms 192.168.3.100 Total 18,053 40m6s insert 5,746 35m59s others 6 0ms select 12,301 4m6s 192.168.3.199 Total 364 349ms others 182 15ms select 170 195ms update 12 137ms 192.168.4.142 Total 13,545 19s59ms insert 10,278 14s697ms select 3,267 4s362ms 192.168.4.98 Total 312 57s701ms others 4 57s135ms tcl 208 280ms update 100 285ms [local] Total 330 26m46s copy from 96 16s616ms cte 96 2m22s ddl 16 779ms delete 16 25ms others 4 971ms select 42 22m29s update 60 1m36s Queries by application
Key values
- [unknown] Main application
- 50,456 Requests
- 1h26m1s (PostgreSQL JDBC Driver)
- Main time consuming application
Application Request type Count Duration PostgreSQL JDBC Driver Total 42,959 1h26m1s cte 1,596 57m55s insert 40 578ms others 3,595 50ms select 37,696 28m5s update 32 21ms [unknown] Total 50,456 1h5m36s cte 90 21m39s insert 23,857 36m57s others 5,060 57s262ms select 20,583 5m57s tcl 208 280ms update 658 3s848ms dreamfactory Total 222 463ms insert 30 443ms others 182 1ms select 10 18ms psql Total 441 26m54s copy from 96 16s616ms copy to 26 6s754ms cte 116 2m22s ddl 16 779ms delete 16 25ms others 4 971ms select 94 22m30s update 73 1m36s Number of cancelled queries
Key values
- 0 per second Cancelled query Peak
- 2022-10-23 14:50:33 Date
Number of cancelled queries (5 minutes period)
NO DATASET
-
Top Queries
Histogram of query times
Key values
- 59,967 0-1ms duration
Slowest individual queries
Rank Duration Query 1 14m59s select powerstats_tdata_add ();[ Date: 2022-10-23 14:15:24 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2 3m50s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:09:21 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
3 2m29s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:20:25 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
4 2m28s select updateageforrelevantresults ();[ Date: 2022-10-23 14:19:30 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
5 2m25s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:17:56 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
6 2m23s select pd.trumpetsymbolid::character varying as symbolid, 15 as timegranularity, 't15_ps' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t15_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and (- 1 = - 1 or t.symbolid = - 1) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 30 as timegranularity, 't30_ps' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t30_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 60 as timegranularity, 't60_ps' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t60_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 240 as timegranularity, 't240' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t240 group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 1440 as timegranularity, 't1440' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t1440 group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid;[ Date: 2022-10-23 14:20:19 - Database: acaweb_fx - User: pgperfstats - Remote: 192.168.3.100 - Application: [unknown] ]
7 1m58s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:12:29 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
8 1m35s select updateageforrelevantresults ();[ Date: 2022-10-23 14:03:37 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
9 1m12s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:01:42 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
10 1m10s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:13:41 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
11 1m5s 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 = '660' 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 ('209' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'META', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) 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: 2022-10-23 14:19:34 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
12 1m4s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:10:26 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
13 1m2s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:21:33 - Database: acaweb_fx - User: postgres - Remote: 182.165.1.42 - Application: [unknown] - Bind query: yes ]
14 56s38ms 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 = '572' 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: 2022-10-23 14:03:40 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
15 48s950ms 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: 2022-10-23 14:17:17 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
16 46s256ms 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: 2022-10-23 14:05:53 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
17 44s259ms 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: 2022-10-23 14:19:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
18 43s820ms 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: 2022-10-23 14:18:53 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
19 43s144ms 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 = '700' 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 ('249' = 0 OR coalesce(bim.code, s.symbol) in ('#C-BRENT', '#C-COCOA', '#C-COFFEE', '#C-COPPER', '#C-CORN', '#C-COTTON', '#C-FCATTLE', '#C-HEATOIL', '#C-LCATTLE', '#C-LHOG', '#C-NATGAS', '#C-OATS', '#C-ORANGE', '#C-RICE', '#C-ROBUSTA', '#C-SOYB', '#C-SOYBM', '#C-SUGAR', '#C-WHEAT', '#S-AA', '#S-AAL', '#S-AAPL', '#S-AIG', '#S-AMD', '#S-AMGN', '#S-AMZN', '#S-ATVI', '#S-BA', '#S-BABA', '#S-BP', '#S-C', '#S-CAT', '#S-CL', '#S-COST', '#S-CRM', '#S-CSCO', '#S-CX', '#S-DAL', '#S-DE', '#S-DIS', '#S-DUK', '#S-EA', '#S-EBAY', '#S-F', '#S-FB', '#S-GE', '#S-GIS', '#S-GM', '#S-GOOG', '#S-IBM', '#S-INTC', '#S-KO', '#S-META', '#S-MMM', '#S-MO', '#S-MSFT', '#S-NOK', '#S-OXY', '#S-TWTR', '#S-USB', '#S-V', '#S-VLO', '#S-VZ', '#S-WBA', '#S-WDC', '#S-XOM', 'AU200', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'DE30', 'DJI', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURRUB', 'EURSEK', 'EURUSD', 'EURZAR', 'GB100', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPSEK', 'GBPUSD', 'HK50', 'JP2000', 'NIKKEI', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'Nd100', 'OIL', 'RUT2000', 'SP500', 'USDCAD', 'USDCHF', 'USDHKD', 'USDIDX', 'USDJPY', 'USDMXN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'USVIX', 'XAGEUR', 'XAGUSD', 'XAUEUR', 'XAUOIL', 'XAUSnP', 'XAUUSD', 'XAUXAG', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURRUB', 'EURSEK', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPSEK', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDHKD', 'USDJPY', 'USDMXN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'XAGEUR', 'XAGUSD', 'XAUEUR', 'XAUOIL', 'XAUSnP', 'XAUUSD', 'XAUXAG', '#S-AA', '#S-AAL', '#S-AAPL', '#S-AIG', '#S-AMD', '#S-AMGN', '#S-AMZN', '#S-ATVI', '#S-BA', '#S-BABA', '#S-BP', '#S-C', '#S-CAT', '#S-CL', '#S-COST', '#S-CRM', '#S-CSCO', '#S-CX', '#S-DAL', '#S-DE', '#S-DIS', '#S-DUK', '#S-EA', '#S-EBAY', '#S-F', '#S-FB', '#S-GE', '#S-GIS', '#S-GM', '#S-GOOG', '#S-IBM', '#S-INTC', '#S-KO', '#S-MMM', '#S-MO', '#S-MSFT', '#S-NOK', '#S-OXY', '#S-TWTR', '#S-USB', '#S-V', '#S-VLO', '#S-VZ', '#S-WBA', '#S-WDC', '#S-XOM', 'AU200', 'DE30', 'DJI', 'GB100', 'HK50', 'JP2000', 'NIKKEI', 'Nd100', 'RUT2000', 'SP500', 'USDIDX', 'USVIX', '#C-BRENT', '#C-COCOA', '#C-COFFEE', '#C-COPPER', '#C-CORN', '#C-COTTON', '#C-FCATTLE', '#C-HEATOIL', '#C-LCATTLE', '#C-LHOG', '#C-NATGAS', '#C-OATS', '#C-ORANGE', '#C-RICE', '#C-ROBUSTA', '#C-SOYB', '#C-SOYBM', '#C-SUGAR', '#C-WHEAT', 'OIL')) 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: 2022-10-23 14:04:59 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
20 41s484ms 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 = '572' 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 ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ), 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: 2022-10-23 14:08:41 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver - Bind query: yes ]
Time consuming queries
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 37m9s 131 1s9ms 3m50s 17s22ms 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 #1
Day Hour Count Duration Avg duration Oct 23 14 131 37m9s 17s22ms [ User: postgres - Total duration: 37m9s - Times executed: 131 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 24m55s - Times executed: 119 ]
[ Application: [unknown] - Total duration: 12m13s - Times executed: 12 ]
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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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:09:21 Duration: 3m50s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:17:56 Duration: 2m25s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:12:29 Duration: 1m58s Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
2 31m18s 131 2s556ms 2m29s 14s338ms 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 #2
Day Hour Count Duration Avg duration Oct 23 14 131 31m18s 14s338ms [ User: postgres - Total duration: 31m18s - Times executed: 131 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 22m16s - Times executed: 119 ]
[ Application: [unknown] - Total duration: 9m1s - Times executed: 12 ]
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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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:20:25 Duration: 2m29s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:13:41 Duration: 1m10s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:10:26 Duration: 1m4s Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
3 14m59s 1 14m59s 14m59s 14m59s select powerstats_tdata_add ();Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Oct 23 14 1 14m59s 14m59s [ User: postgres - Total duration: 14m59s - Times executed: 1 ]
[ Application: psql - Total duration: 14m59s - Times executed: 1 ]
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select powerstats_tdata_add ();
Date: 2022-10-23 14:15:24 Duration: 14m59s Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select powerstats_tdata_add ();
Date: 2022-10-23 14:14:30 Duration: 0ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
4 9m53s 2,030 0ms 18s59ms 292ms 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 #4
Day Hour Count Duration Avg duration Oct 23 14 2,030 9m53s 292ms [ User: postgres - Total duration: 9m53s - Times executed: 2030 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 9m53s - Times executed: 2030 ]
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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 = 566 AND sg.groupid = 515852059923228308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '689993823' 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: 2022-10-23 14:17:20 Duration: 18s59ms 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 = 566 AND sg.groupid = 515852059923228308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '689993823' 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: 2022-10-23 14:04:47 Duration: 14s235ms 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 = 566 AND sg.groupid = 515852059765687308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-1395780025' 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: 2022-10-23 14:04:45 Duration: 13s293ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
5 6m17s 119 796ms 8s719ms 3s168ms 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 #5
Day Hour Count Duration Avg duration Oct 23 14 119 6m17s 3s168ms [ User: postgres - Total duration: 6m17s - Times executed: 119 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 6m17s - Times executed: 119 ]
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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: 2022-10-23 14:06:39 Duration: 8s719ms 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: 2022-10-23 14:19:42 Duration: 8s546ms 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 = '660' 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 ('209' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'META', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) 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: 2022-10-23 14:07:30 Duration: 7s182ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
6 5m 4 27s216ms 2m28s 1m15s select updateageforrelevantresults ();Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Oct 23 14 4 5m 1m15s [ User: postgres - Total duration: 5m - Times executed: 4 ]
[ Application: psql - Total duration: 5m - Times executed: 4 ]
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select updateageforrelevantresults ();
Date: 2022-10-23 14:19:30 Duration: 2m28s Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateageforrelevantresults ();
Date: 2022-10-23 14:03:37 Duration: 1m35s Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateageforrelevantresults ();
Date: 2022-10-23 14:47:32 Duration: 29s680ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
7 3m8s 397 0ms 18s194ms 474ms 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.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 Oct 23 14 397 3m8s 474ms [ User: postgres - Total duration: 3m8s - Times executed: 397 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 3m8s - Times executed: 397 ]
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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 & '3' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '0' 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: 2022-10-23 14:04:09 Duration: 18s194ms 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 = '1' AND patternlengthbars >= '20' AND a.PatternID & '3' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '0' 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: 2022-10-23 14:04:09 Duration: 18s142ms 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 & '3' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '1995966527' 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: 2022-10-23 14:08:27 Duration: 17s70ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
8 3m3s 65 1s282ms 3s639ms 2s824ms insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, 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 #8
Day Hour Count Duration Avg duration Oct 23 14 65 3m3s 2s824ms [ User: pgperfstats - Total duration: 3m3s - Times executed: 65 ]
[ Application: [unknown] - Total duration: 3m3s - Times executed: 65 ]
-
insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840217982780300, 1, 990, '2022-10-23 00:00:00', 0.138803639060545, 0.534545454545454, 0.210158283988532, 0.706136363636363, 0.268357598859806, 0.854090909090909, 0.356639027735182, 1.13659090909091, 1.0234621289707, 3.01159090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1005, '2022-10-23 00:00:00', 0.166043206185458, 0.428181818181818, 0.182727205423089, 0.550227272727273, 0.263727546181128, 0.688863636363637, 0.366689368639987, 0.972045454545456, 1.01524121203521, 2.97363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1020, '2022-10-23 00:00:00', 0.117304917727024, 0.351590909090909, 0.17552333622183, 0.463181818181818, 0.274665971871099, 0.61659090909091, 0.351483020717664, 0.933863636363637, 1.02673630786461, 2.96272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1035, '2022-10-23 00:00:00', 0.0929090347845073, 0.279772727272728, 0.151453277409555, 0.420000000000001, 0.228686371937544, 0.601136363636365, 0.29705817714054, 0.879318181818183, 0.969171110120726, 2.92454545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1050, '2022-10-23 00:00:00', 0.0891290833930961, 0.254772727272727, 0.139414553576438, 0.384318181818181, 0.220948491578322, 0.532045454545454, 0.227375031087199, 0.8175, 0.934069350716558, 2.90386363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1065, '2022-10-23 00:00:00', 0.082357380332537, 0.2475, 0.127614857865579, 0.353863636363637, 0.206436079642962, 0.492045454545454, 0.220412467533386, 0.760681818181819, 0.931957628674727, 2.89545454545454 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1080, '2022-10-23 00:00:00', 0.0953601625735862, 0.229318181818182, 0.131856540172065, 0.338636363636363, 0.172946360825962, 0.478409090909091, 0.225004208714845, 0.739318181818182, 0.935229675242689, 2.88454545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1095, '2022-10-23 00:00:00', 0.0697087323031153, 0.215454545454545, 0.100251847366685, 0.323636363636363, 0.117844319123933, 0.447954545454545, 0.193234599359458, 0.694090909090909, 0.951302592962209, 2.86863636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1110, '2022-10-23 00:00:00', 0.0805087314777468, 0.229318181818181, 0.108894732519818, 0.326590909090909, 0.160669594555779, 0.421363636363636, 0.207984556536237, 0.691363636363637, 0.94297083385781, 2.88022727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1125, '2022-10-23 00:00:00', 0.0591241997465588, 0.208636363636364, 0.0843449421368541, 0.289545454545454, 0.123204199976198, 0.364318181818182, 0.235673943812649, 0.667272727272728, 0.954348443903458, 3.09 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1140, '2022-10-23 00:00:00', 0.0720348190218797, 0.206590909090909, 0.109319273063826, 0.269318181818182, 0.141686082193863, 0.375227272727272, 0.257614451511761, 0.666590909090909, 1.01659040946, 3.11318181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1155, '2022-10-23 00:00:00', 0.0500843444445616, 0.166818181818181, 0.0748566451026043, 0.240227272727272, 0.140793976160004, 0.364090909090909, 0.475739115091145, 1.29409090909091, 1.03717867814066, 3.13590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1170, '2022-10-23 00:00:00', 0.0589449996777751, 0.179318181818182, 0.115070324817825, 0.270681818181818, 0.133752857314627, 0.352272727272727, 0.475431906623333, 1.36545454545454, 1.05635914482582, 3.1575 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1185, '2022-10-23 00:00:00', 0.0704837950735153, 0.176818181818182, 0.0876808582327575, 0.233863636363637, 0.0913522747129935, 0.314999999999999, 0.465701305159977, 1.41409090909091, 1.08406274977722, 3.17295454545454 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1200, '2022-10-23 00:00:00', 0.0689677288233252, 0.1725, 0.0878938261502183, 0.22090909090909, 0.118779872068706, 0.324090909090908, 0.457865897019728, 1.44431818181818, 1.091345331247, 3.17818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1215, '2022-10-23 00:00:00', 0.050181488799973, 0.15090909090909, 0.071062209804774, 0.223863636363635, 0.124361573107617, 0.31590909090909, 0.464727087906189, 1.47113636363636, 1.08659355416276, 3.18886363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1230, '2022-10-23 00:00:00', 0.0560187043593053, 0.149999999999999, 0.0877055409011425, 0.217499999999999, 0.121331894287647, 0.295, 0.483933647199464, 1.48681818181818, 1.07967667919694, 3.20272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1245, '2022-10-23 00:00:00', 0.0648946031947923, 0.1475, 0.107507424489411, 0.224318181818182, 0.119890823351121, 0.285, 0.509831905071241, 1.515, 1.0805517069266, 3.20590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1260, '2022-10-23 00:00:00', 0.0833757467823531, 0.165909090909091, 0.0974726623901298, 0.223409090909091, 0.144374490497779, 0.320227272727273, 0.535294200372451, 1.5375, 1.07870282448401, 3.20954545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1275, '2022-10-23 00:00:00', 0.076505453502248, 0.145681818181818, 0.101476118359951, 0.205454545454546, 0.143446484583604, 0.324318181818182, 0.534592989574466, 1.53795454545454, 1.09283154696563, 3.21886363636363 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1290, '2022-10-23 00:00:00', 0.0511195017894692, 0.143181818181818, 0.098160847327496, 0.226136363636363, 0.158982832801348, 0.322727272727271, 0.532580756228351, 1.5425, 1.09827462087455, 3.225 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1305, '2022-10-23 00:00:00', 0.0813618527459335, 0.164318181818182, 0.0953488128080055, 0.231590909090909, 0.159883108004279, 0.319318181818181, 0.51845325445625, 1.56840909090909, 1.10800298595406, 3.23704545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1320, '2022-10-23 00:00:00', 0.0652832655579111, 0.145, 0.120046888386394, 0.227727272727272, 0.180136582380394, 0.347954545454545, 0.506067086564515, 1.57909090909091, 1.1136051590292, 3.24545454545454 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1335, '2022-10-23 00:00:00', 0.0796230295820674, 0.167727272727272, 0.104613543609293, 0.239772727272727, 0.475284831438655, 1.16363636363636, 0.484880770367172, 1.57613636363636, 1.1128073776446, 3.23545454545454 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1350, '2022-10-23 00:00:00', 0.0579856677321012, 0.146363636363636, 0.0903687132198113, 0.233863636363635, 0.471988287696786, 1.22409090909091, 0.478945224570127, 1.55363636363636, 1.12229752365482, 3.23272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1365, '2022-10-23 00:00:00', 0.0756987650513738, 0.192272727272727, 0.475127916246286, 1.12181818181818, 0.460482995065605, 1.26227272727273, 0.473889508465599, 1.55113636363636, 1.11838163843005, 3.23318181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 990, '2022-10-23 00:00:00', 0.196196624294648, 0.496346153846155, 0.187625650206427, 0.62423076923077, 0.193221375629096, 0.7425, 0.312733359023552, 1.14307692307692, 0.997903725894361, 3.01961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1005, '2022-10-23 00:00:00', 0.155391812476125, 0.373846153846154, 0.181633294982373, 0.500576923076924, 0.220285129914705, 0.663461538461539, 0.347010751329784, 1.03769230769231, 0.974671246350039, 2.98596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1020, '2022-10-23 00:00:00', 0.0954207282754406, 0.313653846153847, 0.140357921592784, 0.432884615384616, 0.218169394314108, 0.603269230769232, 0.349549655325909, 0.964807692307692, 0.981030149305389, 2.96692307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1035, '2022-10-23 00:00:00', 0.10180599952096, 0.302692307692307, 0.137661234138792, 0.431153846153846, 0.191916648574323, 0.56, 0.33222652142546, 0.897692307692307, 0.992516479227656, 2.93019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1050, '2022-10-23 00:00:00', 0.098738972120356, 0.304230769230769, 0.1333810331344, 0.4025, 0.232691938969828, 0.523461538461538, 0.335738222200205, 0.841923076923076, 1.00844007487574, 2.91923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1065, '2022-10-23 00:00:00', 0.0804123985847579, 0.226923076923078, 0.114549283985272, 0.336538461538462, 0.174100877035745, 0.471346153846154, 0.319168209810825, 0.822884615384615, 0.995400112826689, 2.91076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1080, '2022-10-23 00:00:00', 0.0802565597606533, 0.233653846153846, 0.143597193030204, 0.328076923076923, 0.175754198986932, 0.471538461538461, 0.295031419448063, 0.801538461538461, 0.9695548542422, 2.90615384615384 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1095, '2022-10-23 00:00:00', 0.0891629881819714, 0.220961538461538, 0.101146504559551, 0.306153846153845, 0.17313134187218, 0.462307692307692, 0.289979044335701, 0.769615384615384, 0.950791593276967, 2.90942307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1110, '2022-10-23 00:00:00', 0.0633078558741691, 0.196730769230769, 0.0983736987989396, 0.294230769230769, 0.161313359645133, 0.42, 0.27966325904834, 0.726538461538462, 0.938457265122679, 2.90903846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1125, '2022-10-23 00:00:00', 0.0626261803205207, 0.194038461538461, 0.117183616602322, 0.289999999999999, 0.152845824783819, 0.390384615384616, 0.292787465578703, 0.7175, 1.14337827713114, 3.08673076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1140, '2022-10-23 00:00:00', 0.106203179729307, 0.203653846153845, 0.127071300397122, 0.288653846153846, 0.13045069802567, 0.360769230769232, 0.308001560935106, 0.709807692307692, 1.18578406388088, 3.12038461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1155, '2022-10-23 00:00:00', 0.0667786239404834, 0.185769230769231, 0.0796745785149717, 0.264038461538461, 0.103895842813107, 0.352115384615386, 0.461265691832309, 1.16596153846154, 1.17700460753297, 3.15038461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1170, '2022-10-23 00:00:00', 0.0572726273725403, 0.176923076923077, 0.0790559684897107, 0.235384615384617, 0.13029330816986, 0.357884615384617, 0.452235132850838, 1.20884615384615, 1.19649680960068, 3.18115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1185, '2022-10-23 00:00:00', 0.0636347752049502, 0.155769230769232, 0.101636796789049, 0.255961538461539, 0.216601814751968, 0.392884615384616, 0.439491314344908, 1.23615384615385, 1.22626895029661, 3.19653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1200, '2022-10-23 00:00:00', 0.0985488945416667, 0.20173076923077, 0.142262622800769, 0.269423076923078, 0.273836349219467, 0.392115384615385, 0.425492655635792, 1.285, 1.24133817372159, 3.21769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1215, '2022-10-23 00:00:00', 0.0760923022489038, 0.159038461538461, 0.18145618246245, 0.267884615384615, 0.22163587601844, 0.352692307692308, 0.416007951107445, 1.29615384615385, 1.22496141226508, 3.21269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1230, '2022-10-23 00:00:00', 0.108185026690388, 0.185000000000001, 0.157041885642506, 0.241923076923078, 0.154086514160565, 0.324423076923078, 0.415800987899813, 1.29730769230769, 1.22159819656307, 3.22192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1245, '2022-10-23 00:00:00', 0.0777718556963991, 0.152692307692307, 0.0750189719594057, 0.234615384615384, 0.107605583212311, 0.329807692307692, 0.426468188010095, 1.30134615384615, 1.21788437306415, 3.22211538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1260, '2022-10-23 00:00:00', 0.0746818894738512, 0.17576923076923, 0.0996047959920369, 0.231346153846154, 0.137476711314485, 0.360384615384616, 0.42970204346017, 1.30961538461538, 1.22087528500599, 3.22230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1275, '2022-10-23 00:00:00', 0.0577714329192067, 0.156538461538462, 0.0953473407317452, 0.233653846153847, 0.145795958580688, 0.372307692307693, 0.433943500398912, 1.31019230769231, 1.21864287694897, 3.21730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1290, '2022-10-23 00:00:00', 0.0813777989002295, 0.177884615384616, 0.118804461195698, 0.282500000000001, 0.139155143081936, 0.368076923076923, 0.430184396956252, 1.30115384615385, 1.21852125072218, 3.21596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1305, '2022-10-23 00:00:00', 0.0728309422831137, 0.187884615384615, 0.103278004211189, 0.257115384615384, 0.122714960532372, 0.345192307692307, 0.462562469793581, 1.28403846153846, 1.23605843775222, 3.20769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1320, '2022-10-23 00:00:00', 0.0585586491016947, 0.161346153846154, 0.0789313236057386, 0.218076923076923, 0.100065555435501, 0.328653846153845, 0.481175164011545, 1.26346153846154, 1.23217382951995, 3.20211538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1335, '2022-10-23 00:00:00', 0.0596154342431562, 0.15, 0.0957338056198617, 0.235192307692307, 0.456163474408698, 0.896346153846153, 0.47205345199295, 1.26730769230769, 1.23262078515657, 3.2 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1350, '2022-10-23 00:00:00', 0.0585586491016953, 0.166346153846154, 0.0622266329328043, 0.223076923076923, 0.435963477651688, 0.948076923076923, 0.465028535104609, 1.26846153846154, 1.23137402928598, 3.2 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1365, '2022-10-23 00:00:00', 0.062473686768603, 0.165192307692307, 0.45336303164411, 0.854038461538461, 0.429387757340432, 0.975384615384615, 0.452706731356387, 1.26423076923077, 1.22053683018832, 3.19192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 990, '2022-10-23 00:00:00', 0.296991388116533, 0.596730769230769, 0.289144161542035, 0.712884615384616, 0.290938336051844, 0.843653846153846, 0.358838564516992, 1.08865384615385, 1.20550367705147, 3.08365384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1005, '2022-10-23 00:00:00', 0.186521704243356, 0.432115384615384, 0.217438585493786, 0.521538461538461, 0.292365945612422, 0.670384615384615, 0.365453985317734, 0.956153846153846, 1.23705377347209, 3.01096153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1020, '2022-10-23 00:00:00', 0.101113036517782, 0.319615384615384, 0.163364740570106, 0.459038461538461, 0.177583458169348, 0.548269230769231, 0.367359653996754, 0.868653846153846, 1.23675058116016, 2.99 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1035, '2022-10-23 00:00:00', 0.103288244919067, 0.277307692307693, 0.11495149478735, 0.375384615384617, 0.160382355638019, 0.482500000000001, 0.356723767295993, 0.870384615384615, 1.2175478035158, 2.97057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1050, '2022-10-23 00:00:00', 0.103231070158911, 0.260576923076923, 0.133630518163387, 0.331346153846154, 0.142400302506161, 0.469615384615384, 0.347891450798178, 0.832307692307692, 1.22030658190725, 2.94807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1065, '2022-10-23 00:00:00', 0.0889684473023135, 0.220769230769231, 0.110679891857277, 0.325961538461538, 0.134081490720555, 0.450384615384615, 0.338205047044176, 0.839423076923076, 1.2215974566746, 2.94711538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1080, '2022-10-23 00:00:00', 0.0650727403638537, 0.222692307692307, 0.0940525630452714, 0.311730769230769, 0.1047122430576, 0.425576923076922, 0.335477214633814, 0.839807692307692, 1.21350794742414, 2.94153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1095, '2022-10-23 00:00:00', 0.059490464652879, 0.196346153846153, 0.10212002741872, 0.307499999999999, 0.15509996776273, 0.405, 0.33982806738793, 0.843653846153846, 1.22474444744137, 2.93480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1110, '2022-10-23 00:00:00', 0.0899213331409525, 0.230384615384615, 0.110267681296296, 0.294807692307692, 0.191422307999877, 0.427499999999999, 0.348997906099075, 0.863461538461538, 1.22244565712157, 2.93923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1125, '2022-10-23 00:00:00', 0.0870810851139059, 0.188653846153845, 0.128427171819434, 0.281538461538461, 0.173753140536089, 0.423076923076922, 0.389862105799552, 0.862307692307692, 1.16266180015448, 3.10730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1140, '2022-10-23 00:00:00', 0.066843387567796, 0.195961538461538, 0.0990928080911251, 0.29076923076923, 0.159740294035229, 0.399807692307691, 0.399379566905391, 0.850961538461538, 1.15535970089905, 3.10596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1155, '2022-10-23 00:00:00', 0.103378505428427, 0.196346153846153, 0.132289309993141, 0.282692307692308, 0.176462351617735, 0.380192307692307, 0.792973760357419, 1.39423076923077, 1.11801831896372, 3.11480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1170, '2022-10-23 00:00:00', 0.0699384344647826, 0.17923076923077, 0.103065513145765, 0.2525, 0.129336174962175, 0.350384615384616, 0.76427481968203, 1.45, 1.08346381857164, 3.10038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1185, '2022-10-23 00:00:00', 0.0728636767162854, 0.158653846153846, 0.0878409839513336, 0.225961538461538, 0.134736923155973, 0.310961538461539, 0.768332259857974, 1.51230769230769, 1.04653303082864, 3.09423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1200, '2022-10-23 00:00:00', 0.0613627298560342, 0.159230769230769, 0.0866496038430289, 0.218076923076923, 0.105793885238449, 0.312115384615385, 0.751841764244005, 1.52403846153846, 1.03654227343384, 3.10173076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1215, '2022-10-23 00:00:00', 0.0530126980434514, 0.142884615384615, 0.0787937912431016, 0.212307692307692, 0.168463189314005, 0.379615384615385, 0.756434754927045, 1.51153846153846, 1.03551913773497, 3.10826923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1230, '2022-10-23 00:00:00', 0.0653984826923486, 0.149807692307693, 0.0865110041911066, 0.213076923076924, 0.176350176113847, 0.35423076923077, 0.770691497692419, 1.51076923076923, 1.03680665432931, 3.11903846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1245, '2022-10-23 00:00:00', 0.0637483031448379, 0.145384615384615, 0.178245293389152, 0.285769230769231, 0.215267275729497, 0.405, 0.77206576045149, 1.52153846153846, 1.03795546073111, 3.12153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1260, '2022-10-23 00:00:00', 0.172732897405658, 0.240576923076924, 0.168896531822114, 0.28596153846154, 0.282328777246561, 0.426538461538462, 0.773814154790312, 1.53211538461538, 1.04745245899093, 3.13057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1275, '2022-10-23 00:00:00', 0.080919713296575, 0.18, 0.237252948429437, 0.319807692307691, 0.310166952561904, 0.428461538461537, 0.759471197610547, 1.5375, 1.05773335304974, 3.14038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1290, '2022-10-23 00:00:00', 0.25657237695314, 0.249230769230768, 0.304478179084251, 0.329807692307692, 0.333931879280789, 0.4275, 0.756797833994298, 1.52019230769231, 1.07115309901921, 3.14480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1305, '2022-10-23 00:00:00', 0.166521423893098, 0.200769230769231, 0.212796038135474, 0.288076923076923, 0.278836042256983, 0.401538461538462, 0.758548512722717, 1.50961538461538, 1.07803705159674, 3.13326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1320, '2022-10-23 00:00:00', 0.126723958028707, 0.190192307692308, 0.152083984894986, 0.263461538461538, 0.241379130447072, 0.398269230769231, 0.731701073894566, 1.49230769230769, 1.06573003148077, 3.1275 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1335, '2022-10-23 00:00:00', 0.100891602151097, 0.171346153846154, 0.158050138101319, 0.259615384615385, 0.662196810158894, 1.10384615384615, 0.724168382459387, 1.46538461538462, 1.04390091262754, 3.10865384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1350, '2022-10-23 00:00:00', 0.0829942073974957, 0.169038461538462, 0.132132945871253, 0.261346153846154, 0.685051177201102, 1.16365384615385, 0.717056590407029, 1.44692307692308, 1.01480744668442, 3.09307692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1365, '2022-10-23 00:00:00', 0.0793514577443526, 0.175576923076924, 0.61570775410217, 1.01596153846154, 0.682621445943166, 1.21596153846154, 0.671677120234234, 1.40807692307692, 0.971756458884949, 3.07615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 990, '2022-10-23 00:00:00', 0.180660327261283, 0.506923076923077, 0.257522590495251, 0.64673076923077, 0.377636781129088, 0.826538461538461, 0.372373261867506, 1.04538461538462, 0.940313695611122, 2.96538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1005, '2022-10-23 00:00:00', 0.14534732936606, 0.399615384615385, 0.225664233217953, 0.577115384615385, 0.25048629626266, 0.670769230769231, 0.31134522022001, 0.920384615384616, 0.919955684551414, 2.92230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1020, '2022-10-23 00:00:00', 0.192424310794181, 0.378653846153846, 0.217406390112018, 0.468461538461539, 0.211999637154987, 0.560384615384615, 0.325582377617992, 0.866730769230769, 0.910779906707179, 2.90596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1035, '2022-10-23 00:00:00', 0.112527090755277, 0.292884615384615, 0.142304656932286, 0.396153846153846, 0.178025603171611, 0.528653846153846, 0.324156657284004, 0.811538461538462, 0.909750768913366, 2.89730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1050, '2022-10-23 00:00:00', 0.117126493094498, 0.291153846153846, 0.140932608008225, 0.39, 0.234258322239492, 0.544807692307693, 0.323721865424389, 0.794615384615385, 0.908991262545804, 2.88634615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1065, '2022-10-23 00:00:00', 0.120886469307108, 0.246538461538462, 0.190397256767569, 0.358653846153847, 0.256000901440721, 0.502307692307693, 0.340640403674293, 0.753269230769231, 0.906518869929612, 2.87730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1080, '2022-10-23 00:00:00', 0.119134862171471, 0.238653846153848, 0.204788915715671, 0.332500000000001, 0.225957875584061, 0.435192307692308, 0.328178891178858, 0.729230769230769, 0.904517061964347, 2.85634615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1095, '2022-10-23 00:00:00', 0.114554152461418, 0.229423076923078, 0.142718119166634, 0.317692307692308, 0.159483903214761, 0.416346153846155, 0.299075820075522, 0.727884615384615, 0.914170683440208, 2.83096153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1110, '2022-10-23 00:00:00', 0.111740771431022, 0.240000000000001, 0.123741044742018, 0.289615384615385, 0.149890344534315, 0.401346153846154, 0.290051520622431, 0.718269230769231, 0.926337972049909, 2.82096153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1125, '2022-10-23 00:00:00', 0.0788425890376125, 0.188076923076923, 0.119282631400578, 0.292884615384616, 0.146520148260074, 0.376923076923077, 0.293054799286099, 0.691346153846153, 0.861340815240982, 2.89 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1140, '2022-10-23 00:00:00', 0.0842130996570371, 0.204615384615386, 0.111536816964004, 0.272692307692309, 0.176789749093705, 0.388846153846155, 0.285962141119845, 0.712115384615384, 0.874991626333558, 2.88288461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1155, '2022-10-23 00:00:00', 0.0776788259437536, 0.205, 0.12432773067737, 0.270769230769231, 0.197533638810048, 0.393461538461539, 0.511815509128646, 1.20134615384615, 0.862409147946343, 2.88653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1170, '2022-10-23 00:00:00', 0.0748868377055576, 0.175961538461538, 0.106957396263112, 0.253269230769231, 0.156336053226572, 0.369807692307692, 0.54025136599692, 1.28346153846154, 0.864558491147582, 2.89423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1185, '2022-10-23 00:00:00', 0.0661504695023741, 0.16173076923077, 0.137780204004003, 0.24923076923077, 0.148979735328204, 0.344807692307693, 0.599712142486838, 1.32942307692308, 0.862978919432343, 2.89384615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1200, '2022-10-23 00:00:00', 0.0850402619577689, 0.180384615384615, 0.0888144132446974, 0.24, 0.166349146260323, 0.335961538461539, 0.654749071136299, 1.34711538461538, 0.869417046071677, 2.89 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1215, '2022-10-23 00:00:00', 0.0595185814553877, 0.172692307692308, 0.0861860688367826, 0.245961538461539, 0.160361610598817, 0.335384615384615, 0.681733536936988, 1.37384615384615, 0.866654753369795, 2.89230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1230, '2022-10-23 00:00:00', 0.0733372085223192, 0.172115384615385, 0.137224829554107, 0.240576923076923, 0.162861904692288, 0.335, 0.68023220017421, 1.38038461538462, 0.853978854899455, 2.88173076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1245, '2022-10-23 00:00:00', 0.107405235511983, 0.163269230769231, 0.105678940482664, 0.219038461538462, 0.138785944755002, 0.318461538461539, 0.682504099734094, 1.39461538461538, 0.847173331642441, 2.86942307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1260, '2022-10-23 00:00:00', 0.0482768458596228, 0.150576923076922, 0.0835611245643673, 0.217307692307692, 0.107733467409158, 0.3225, 0.685944267751789, 1.40653846153846, 0.837866429597315, 2.85807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1275, '2022-10-23 00:00:00', 0.0827835453735556, 0.153653846153847, 0.0985728937620048, 0.226153846153846, 0.121211988490603, 0.337884615384615, 0.685314189595939, 1.39346153846154, 0.829551060235873, 2.84480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1290, '2022-10-23 00:00:00', 0.0749258607917492, 0.156730769230769, 0.0887522480755363, 0.230192307692307, 0.127587677244377, 0.338846153846153, 0.679503240497169, 1.38057692307692, 0.813367454097234, 2.82615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1305, '2022-10-23 00:00:00', 0.0508031646500643, 0.154807692307692, 0.0907930868259514, 0.229230769230768, 0.128656519461705, 0.337499999999999, 0.691263308398804, 1.38480769230769, 0.814694940547593, 2.82461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1320, '2022-10-23 00:00:00', 0.0696896968436073, 0.164423076923076, 0.127561146725194, 0.249615384615384, 0.149492603367318, 0.350961538461537, 0.687669000207333, 1.38057692307692, 0.804055035429789, 2.8125 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1335, '2022-10-23 00:00:00', 0.106871598011533, 0.166538461538461, 0.110326961625608, 0.220961538461538, 0.439441297383568, 0.940576923076922, 0.690109049353796, 1.3825, 0.788754812249125, 2.80192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1350, '2022-10-23 00:00:00', 0.0649653753933578, 0.157499999999999, 0.104316272054672, 0.246730769230769, 0.4437860277899, 1.02596153846154, 0.644974328648347, 1.37326923076923, 0.766354607616725, 2.78576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1365, '2022-10-23 00:00:00', 0.0703857503061074, 0.188076923076922, 0.396797371269208, 0.878076923076922, 0.48221141230154, 1.07538461538461, 0.626654886004926, 1.36711538461538, 0.763914513944711, 2.77576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 990, '2022-10-23 00:00:00', 0.267446975334149, 0.53326923076923, 0.283034654034829, 0.703846153846153, 0.326050019758649, 0.868846153846153, 0.468388070530607, 1.13923076923077, 0.695508004709783, 2.65423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1005, '2022-10-23 00:00:00', 0.171850561199594, 0.423846153846154, 0.170581809833738, 0.576923076923077, 0.251829383634115, 0.744038461538462, 0.346446188517729, 1.00980769230769, 0.716749500281545, 2.62461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1020, '2022-10-23 00:00:00', 0.125586776618952, 0.354038461538461, 0.174462360939589, 0.506346153846154, 0.218568859066991, 0.672115384615385, 0.294605407543456, 0.927115384615385, 0.684597607807231, 2.59326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1035, '2022-10-23 00:00:00', 0.129936078959559, 0.319230769230769, 0.166021430498039, 0.451346153846153, 0.18709191488513, 0.589230769230769, 0.292771898609455, 0.840769230769231, 0.667369578154528, 2.58807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1050, '2022-10-23 00:00:00', 0.0988147061618155, 0.267884615384615, 0.125408869763604, 0.364230769230769, 0.195892533332398, 0.501730769230769, 0.289503288143941, 0.773076923076924, 0.698520304203546, 2.56384615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1065, '2022-10-23 00:00:00', 0.0843365510686424, 0.229423076923077, 0.121800593657767, 0.355769230769231, 0.171028112848781, 0.463846153846154, 0.27671097112052, 0.745192307692308, 0.70966798846091, 2.56442307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1080, '2022-10-23 00:00:00', 0.0796772335015567, 0.232692307692307, 0.119495252560992, 0.316346153846153, 0.0950524146903253, 0.400192307692307, 0.258968367536685, 0.701153846153846, 0.706157887117648, 2.54480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1095, '2022-10-23 00:00:00', 0.0683590633234649, 0.195192307692308, 0.0779163752908312, 0.270192307692308, 0.10303397497913, 0.365, 0.229756057926327, 0.660384615384616, 0.751923507770878, 2.53519230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1110, '2022-10-23 00:00:00', 0.0610110330501468, 0.202115384615384, 0.0756957472639384, 0.269615384615384, 0.121364676143369, 0.37076923076923, 0.237337555782087, 0.653653846153846, 0.752629058700234, 2.5575 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1125, '2022-10-23 00:00:00', 0.051459095032254, 0.160961538461538, 0.0922315230610121, 0.244423076923077, 0.14892447750454, 0.357500000000001, 0.254071764543921, 0.632307692307692, 0.959793647694047, 2.86961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1140, '2022-10-23 00:00:00', 0.0864167006651281, 0.190384615384615, 0.0967798850683663, 0.257115384615384, 0.160606542639027, 0.352307692307691, 0.265790547959508, 0.653846153846154, 0.976424403312727, 2.94384615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1155, '2022-10-23 00:00:00', 0.0759243044090618, 0.1775, 0.113759023310748, 0.253653846153847, 0.162337729630355, 0.341538461538462, 0.472089667167324, 1.11942307692308, 1.04837891344392, 2.95211538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1170, '2022-10-23 00:00:00', 0.0752270920919817, 0.173653846153847, 0.0971176922802744, 0.240384615384615, 0.157524112928294, 0.330384615384616, 0.497433412629269, 1.19, 1.05557219262642, 2.96057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1185, '2022-10-23 00:00:00', 0.0576247809940781, 0.163846153846154, 0.0872258342112372, 0.222884615384616, 0.0993045045070186, 0.31423076923077, 0.525555566849172, 1.22442307692308, 1.06367751041086, 2.96961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1200, '2022-10-23 00:00:00', 0.0850438800764728, 0.167307692307694, 0.11245597429148, 0.232884615384616, 0.12225572190479, 0.317307692307693, 0.548510149965691, 1.26923076923077, 1.06281637823575, 2.97942307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1215, '2022-10-23 00:00:00', 0.0640675725008668, 0.154423076923077, 0.0829858653395485, 0.220576923076923, 0.131293124783381, 0.303269230769231, 0.589879550938482, 1.28826923076923, 1.06140525502026, 2.98134615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1230, '2022-10-23 00:00:00', 0.07197889647988, 0.160192307692307, 0.0963559107603753, 0.202307692307693, 0.12872212170169, 0.28923076923077, 0.620937876243547, 1.32461538461538, 1.07189451260553, 2.97538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1245, '2022-10-23 00:00:00', 0.0647135700904084, 0.125384615384616, 0.101669146670046, 0.198846153846154, 0.111803570880086, 0.260961538461539, 0.640387022402499, 1.33846153846154, 1.07530904323433, 2.97346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1260, '2022-10-23 00:00:00', 0.0598845042239972, 0.143076923076923, 0.07028951119915, 0.191153846153846, 0.112477177172151, 0.268653846153846, 0.653954979631332, 1.35134615384615, 1.08448784438341, 2.97173076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1275, '2022-10-23 00:00:00', 0.0524217365368451, 0.144038461538462, 0.0717712713041602, 0.191346153846154, 0.118024932176997, 0.27826923076923, 0.665854338425455, 1.365, 1.08104345959747, 2.98019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1290, '2022-10-23 00:00:00', 0.051990013834019, 0.134807692307693, 0.0947419572393268, 0.199038461538461, 0.100958673952037, 0.270576923076923, 0.650556566452024, 1.37461538461538, 1.06870620917933, 2.98480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1305, '2022-10-23 00:00:00', 0.0749042979150992, 0.140576923076923, 0.0825870170463584, 0.196153846153846, 0.125387553056667, 0.295961538461538, 0.637364193679419, 1.38134615384615, 1.0519668940389, 2.99288461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1320, '2022-10-23 00:00:00', 0.0573048527949078, 0.145384615384615, 0.0770127362094185, 0.189807692307692, 0.132688907425776, 0.327115384615384, 0.635259123386791, 1.37807692307692, 1.0506809696573, 2.9925 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1335, '2022-10-23 00:00:00', 0.0400941200369639, 0.128461538461538, 0.0989980574789996, 0.223846153846154, 0.466986081163026, 0.964999999999999, 0.643692473157796, 1.365, 1.07023383498115, 2.98269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1350, '2022-10-23 00:00:00', 0.0908379791801783, 0.171538461538462, 0.10109344496744, 0.241730769230769, 0.500640551232581, 1.05480769230769, 0.635135115849073, 1.35615384615385, 1.07462451402983, 2.97461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1365, '2022-10-23 00:00:00', 0.0619826278391471, 0.160384615384616, 0.464904456685623, 0.898076923076922, 0.519917301116245, 1.075, 0.612660685359046, 1.33365384615385, 1.08279446163796, 2.95538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2022-10-23 14:51:23 Duration: 3s639ms 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 515840218072458300, 1, 990, '2022-10-23 00:00:00', 0.160153639707901, 0.412045454545455, 0.190636465307039, 0.4875, 0.241960785345522, 0.559545454545454, 0.324805386286987, 0.76340909090909, 1.0516774891218, 2.19727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1005, '2022-10-23 00:00:00', 0.129153923404347, 0.290454545454546, 0.147206491304735, 0.355681818181818, 0.211460597784988, 0.476818181818181, 0.285028763643068, 0.678409090909091, 1.05589358148028, 2.16227272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1020, '2022-10-23 00:00:00', 0.0953337722873069, 0.223636363636364, 0.139401162056433, 0.317727272727273, 0.196127139831169, 0.452954545454545, 0.308136856787406, 0.654318181818182, 1.06706420994171, 2.15113636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1035, '2022-10-23 00:00:00', 0.0947990013098799, 0.205227272727272, 0.107791686224159, 0.304999999999999, 0.187755741895471, 0.438863636363636, 0.299546193562732, 0.607727272727272, 1.07270849596525, 2.13022727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1050, '2022-10-23 00:00:00', 0.0576731347872686, 0.199999999999999, 0.142718087084127, 0.3075, 0.166246439925428, 0.395454545454545, 0.289777119905591, 0.567727272727273, 1.06293465771894, 2.11090909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1065, '2022-10-23 00:00:00', 0.0976135702190479, 0.191136363636363, 0.105090406348503, 0.255227272727272, 0.134294089957088, 0.337954545454545, 0.283094851251651, 0.538863636363636, 1.06238052549564, 2.1 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1080, '2022-10-23 00:00:00', 0.0517073223648952, 0.146136363636364, 0.105810876371201, 0.220681818181819, 0.137485339635608, 0.296136363636363, 0.287805926072155, 0.506818181818182, 1.0670200899207, 2.08340909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1095, '2022-10-23 00:00:00', 0.0699443192275671, 0.152727272727273, 0.10553025253042, 0.21840909090909, 0.197034425761249, 0.314772727272727, 0.255438677081051, 0.483181818181818, 1.06570312947517, 2.07272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1110, '2022-10-23 00:00:00', 0.0683225099653503, 0.148181818181818, 0.0922564654170946, 0.197272727272727, 0.218293757359583, 0.295454545454545, 0.263971499183061, 0.47, 1.06946976788294, 2.06181818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1125, '2022-10-23 00:00:00', 0.0437927280527604, 0.130227272727273, 0.180250697232532, 0.221136363636364, 0.212084199770298, 0.285227272727273, 0.26447295052319, 0.459318181818182, 1.12900523198647, 2.19136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1140, '2022-10-23 00:00:00', 0.173764656487319, 0.168181818181818, 0.206095426138778, 0.210909090909091, 0.208073517643617, 0.287272727272728, 0.278404156683902, 0.472272727272727, 1.16792386652926, 2.22659090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1155, '2022-10-23 00:00:00', 0.0748696558557958, 0.130681818181818, 0.0893546487137248, 0.191590909090909, 0.106278039335611, 0.244545454545455, 0.339531842828286, 0.776590909090909, 1.18019261121526, 2.22386363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1170, '2022-10-23 00:00:00', 0.0641869732303023, 0.133409090909091, 0.0851141962713998, 0.177045454545455, 0.092954161770607, 0.23, 0.346485524394192, 0.806136363636364, 1.18743083644564, 2.23909090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1185, '2022-10-23 00:00:00', 0.0582821358505963, 0.122045454545455, 0.074821938699973, 0.160681818181818, 0.0957619252121963, 0.228181818181818, 0.372435604126108, 0.859772727272727, 1.19692851866261, 2.24954545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1200, '2022-10-23 00:00:00', 0.0651509236860297, 0.1225, 0.076072419358221, 0.166818181818182, 0.129360105119533, 0.250681818181819, 0.367285659141839, 0.900227272727273, 1.21490778247298, 2.26159090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1215, '2022-10-23 00:00:00', 0.0493529562003561, 0.115, 0.070805889768959, 0.172045454545455, 0.0963211282131794, 0.227045454545454, 0.368059730706804, 0.953181818181817, 1.22165252940327, 2.26204545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1230, '2022-10-23 00:00:00', 0.0542381313447915, 0.116818181818182, 0.0793633351179176, 0.166590909090909, 0.0797415332258671, 0.207954545454545, 0.365391698145419, 0.967954545454545, 1.22285524322687, 2.26022727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1245, '2022-10-23 00:00:00', 0.0517758238054776, 0.109545454545455, 0.0718569406071529, 0.149090909090909, 0.0749967531764741, 0.194318181818182, 0.349164432418024, 0.984090909090908, 1.22285524322687, 2.26022727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1260, '2022-10-23 00:00:00', 0.052455402620409, 0.107045454545455, 0.0563058284758008, 0.143181818181819, 0.0679719352577517, 0.189772727272728, 0.343731827540118, 1.00795454545455, 1.2233767626791, 2.25931818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1275, '2022-10-23 00:00:00', 0.0397829609592343, 0.0927272727272725, 0.0528679642602364, 0.134545454545454, 0.10382745635255, 0.212954545454545, 0.340131197630755, 1.02977272727273, 1.22398683696202, 2.25840909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1290, '2022-10-23 00:00:00', 0.0355727715805518, 0.090227272727273, 0.0559471766945088, 0.139090909090909, 0.123766861197721, 0.227045454545455, 0.348126401386037, 1.05590909090909, 1.22678141520511, 2.26045454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1305, '2022-10-23 00:00:00', 0.0483521757569702, 0.108863636363636, 0.0874741767708143, 0.162272727272727, 0.125089794587555, 0.233863636363636, 0.343648066350582, 1.05477272727273, 1.23490846533211, 2.26181818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1320, '2022-10-23 00:00:00', 0.0770425333698985, 0.118863636363636, 0.109503009506174, 0.186363636363637, 0.173653290691439, 0.265681818181818, 0.338096674742391, 1.05386363636364, 1.23849879890607, 2.26068181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1335, '2022-10-23 00:00:00', 0.0653632043649063, 0.123409090909091, 0.0786744208886499, 0.167954545454545, 0.295959076380122, 0.676818181818181, 0.309910352210001, 1.04204545454545, 1.23759419598647, 2.26318181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1350, '2022-10-23 00:00:00', 0.0563077505372285, 0.105909090909091, 0.0917002103128921, 0.1725, 0.294614080977058, 0.703863636363636, 0.30223267319168, 1.03772727272727, 1.23759419598647, 2.26318181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1365, '2022-10-23 00:00:00', 0.0748696558557969, 0.125681818181818, 0.285930545860839, 0.645909090909091, 0.312984602611473, 0.751136363636363, 0.300050500799954, 1.03772727272727, 1.23784988931811, 2.26340909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 990, '2022-10-23 00:00:00', 0.164925624262761, 0.387692307692307, 0.186377202303451, 0.457692307692308, 0.189468588831622, 0.582884615384615, 0.245918451148718, 0.83826923076923, 1.2005586680311, 2.11865384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1005, '2022-10-23 00:00:00', 0.110045619910738, 0.284038461538462, 0.132679486560079, 0.394615384615384, 0.19340879384987, 0.535192307692307, 0.266274583552681, 0.771923076923077, 1.20339794556274, 2.11115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1020, '2022-10-23 00:00:00', 0.0885898066718392, 0.256923076923077, 0.124283330152705, 0.357115384615385, 0.166757424007264, 0.459038461538461, 0.287865419944807, 0.7275, 1.20446376514134, 2.10480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1035, '2022-10-23 00:00:00', 0.0647599116262996, 0.209615384615384, 0.104814304660855, 0.310961538461537, 0.148895936814944, 0.399999999999999, 0.288018428897554, 0.678846153846153, 1.20054314631081, 2.08961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1050, '2022-10-23 00:00:00', 0.0753527601454548, 0.214038461538461, 0.0966922158986163, 0.264230769230768, 0.158695766023691, 0.367115384615384, 0.277356199747655, 0.642307692307692, 1.19508139407387, 2.07346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1065, '2022-10-23 00:00:00', 0.0620325596887515, 0.170961538461538, 0.125441374600004, 0.253461538461538, 0.154295545576064, 0.363653846153846, 0.249995692270579, 0.615384615384615, 1.19457132639544, 2.06942307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1080, '2022-10-23 00:00:00', 0.0642543024599546, 0.168846153846154, 0.0816606486532008, 0.242692307692308, 0.160571215928059, 0.381346153846154, 0.211634027364367, 0.594807692307692, 1.19431074425635, 2.05807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1095, '2022-10-23 00:00:00', 0.0603617301072333, 0.161538461538462, 0.0947596148967725, 0.23923076923077, 0.148351453805326, 0.346923076923077, 0.194061944908162, 0.559038461538461, 1.1947012661685, 2.04634615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1110, '2022-10-23 00:00:00', 0.0511336860215831, 0.159423076923078, 0.102393847471418, 0.2425, 0.11490815730567, 0.306730769230769, 0.185273706050929, 0.522115384615385, 1.16883915126867, 2.04019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1125, '2022-10-23 00:00:00', 0.073923297046019, 0.150576923076923, 0.0747819908390129, 0.202884615384616, 0.0912083413864196, 0.275192307692308, 0.187386888959303, 0.505384615384615, 1.18975685945297, 2.13923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1140, '2022-10-23 00:00:00', 0.0514063749413959, 0.136153846153846, 0.0555701220219871, 0.190961538461538, 0.103503437326794, 0.260192307692308, 0.175748071441437, 0.490769230769231, 1.19168808838555, 2.1525 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1155, '2022-10-23 00:00:00', 0.0574322343154222, 0.132692307692308, 0.080535945152078, 0.190961538461539, 0.0996563325403088, 0.255769230769231, 0.469984165036032, 0.851346153846154, 1.17346765875922, 2.17288461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1170, '2022-10-23 00:00:00', 0.0442705840867801, 0.123269230769231, 0.0707881454656184, 0.164807692307692, 0.0900692041624745, 0.247692307692307, 0.457454873772771, 0.889807692307692, 1.18924560767935, 2.18634615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1185, '2022-10-23 00:00:00', 0.0466958242244423, 0.1125, 0.057754120732104, 0.168461538461539, 0.112192314284961, 0.258653846153846, 0.472307795665236, 0.940576923076923, 1.2001635946179, 2.19942307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1200, '2022-10-23 00:00:00', 0.0529135724918108, 0.125384615384616, 0.0732424845186282, 0.182307692307692, 0.158115829013465, 0.271153846153846, 0.48172047432574, 0.948846153846154, 1.21003930323962, 2.20365384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1215, '2022-10-23 00:00:00', 0.0478764435412015, 0.113076923076923, 0.106405610031398, 0.178076923076923, 0.151216604704845, 0.262692307692308, 0.501169286614966, 0.960576923076923, 1.21390095908255, 2.21653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1230, '2022-10-23 00:00:00', 0.067842577962629, 0.123846153846154, 0.118439858155943, 0.18, 0.118670357908594, 0.249423076923077, 0.4992260163339, 0.971153846153846, 1.2076143678917, 2.22769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1245, '2022-10-23 00:00:00', 0.0681627012826941, 0.123076923076923, 0.0717870783315812, 0.185769230769231, 0.0930932121792242, 0.247115384615385, 0.508171685101071, 0.982692307692308, 1.2118766280189, 2.22019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1260, '2022-10-23 00:00:00', 0.0604868072074722, 0.129423076923077, 0.0847139984799535, 0.182692307692308, 0.109972024414603, 0.264615384615385, 0.523125848956209, 0.984423076923077, 1.22572728802755, 2.22076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1275, '2022-10-23 00:00:00', 0.0606658565739097, 0.117115384615384, 0.0800367703957663, 0.176730769230769, 0.101476029757695, 0.255769230769231, 0.523376059826966, 0.9825, 1.23708815990802, 2.21634615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1290, '2022-10-23 00:00:00', 0.0731712953386669, 0.130961538461538, 0.0946387869744743, 0.1975, 0.102908473150435, 0.246923076923077, 0.528763288612793, 0.978846153846154, 1.23337019522183, 2.20403846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1305, '2022-10-23 00:00:00', 0.0518566811955351, 0.118653846153846, 0.0584412920406843, 0.160769230769231, 0.101111514979939, 0.241538461538461, 0.527461409452425, 0.961538461538462, 1.22546313066342, 2.19673076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1320, '2022-10-23 00:00:00', 0.0350406357511692, 0.105384615384615, 0.056880441413412, 0.15076923076923, 0.0992923035207742, 0.224807692307692, 0.530499909374313, 0.958076923076923, 1.21449699939459, 2.20519230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1335, '2022-10-23 00:00:00', 0.0406182982637892, 0.104615384615384, 0.0883367681964006, 0.174230769230769, 0.488292984243619, 0.684038461538461, 0.527238998499221, 0.959807692307692, 1.20114959357852, 2.20788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1350, '2022-10-23 00:00:00', 0.0562275596263831, 0.123461538461538, 0.0551487498986569, 0.16076923076923, 0.458331925405763, 0.716923076923077, 0.511631665887151, 0.945192307692308, 1.18040457536324, 2.20019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1365, '2022-10-23 00:00:00', 0.0446076916444483, 0.115384615384615, 0.453582831041239, 0.634230769230769, 0.449719741787979, 0.755384615384615, 0.48950241611724, 0.931153846153846, 1.15775586970922, 2.18557692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 990, '2022-10-23 00:00:00', 0.139017431115116, 0.369615384615384, 0.205222955681038, 0.492307692307692, 0.257558432503861, 0.592115384615385, 0.352667636080292, 0.762692307692308, 1.12362108655625, 2.07211538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1005, '2022-10-23 00:00:00', 0.154344893513994, 0.307884615384616, 0.217172388101817, 0.414615384615384, 0.264162901372503, 0.489038461538462, 0.336954973024815, 0.675576923076923, 1.13860677348037, 2.04576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1020, '2022-10-23 00:00:00', 0.158033102666693, 0.262307692307692, 0.171043516730055, 0.34673076923077, 0.211215620780137, 0.439038461538462, 0.307352966723678, 0.650384615384615, 1.11172409416116, 2.02730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1035, '2022-10-23 00:00:00', 0.0593221323336869, 0.201346153846154, 0.0924123285148603, 0.274038461538462, 0.137735672157271, 0.383653846153846, 0.252900177935881, 0.6025, 1.00677056052432, 1.98480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1050, '2022-10-23 00:00:00', 0.0597214688881129, 0.189423076923077, 0.0894624975145365, 0.261538461538462, 0.151575444530489, 0.358653846153846, 0.25318198076604, 0.586346153846154, 1.00844558603823, 1.9675 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1065, '2022-10-23 00:00:00', 0.0855803715813384, 0.185, 0.129330375990508, 0.262884615384615, 0.157272546384148, 0.355576923076923, 0.256257757856301, 0.584038461538462, 1.0139794604201, 1.96288461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1080, '2022-10-23 00:00:00', 0.0663580034011319, 0.165769230769231, 0.104029027014283, 0.235961538461539, 0.126782672924364, 0.310384615384616, 0.235446302877029, 0.565192307692308, 1.01960831468982, 1.95134615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1095, '2022-10-23 00:00:00', 0.0608326835230482, 0.143846153846154, 0.108178627208037, 0.233846153846154, 0.112257944724844, 0.289615384615385, 0.26285005962745, 0.571923076923077, 1.01679347044445, 1.94519230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1110, '2022-10-23 00:00:00', 0.0789432610267555, 0.155961538461538, 0.0939582558701137, 0.201923076923077, 0.130748290178554, 0.276346153846154, 0.279714758555651, 0.567884615384615, 1.01136450098179, 1.94807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1125, '2022-10-23 00:00:00', 0.0613965671804088, 0.131538461538462, 0.0868333948520873, 0.185961538461538, 0.135499645188295, 0.276923076923077, 0.293267861283057, 0.564038461538461, 0.996877683261399, 2.08365384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1140, '2022-10-23 00:00:00', 0.0551850035370539, 0.124230769230769, 0.0971511510680455, 0.187115384615385, 0.120938159658309, 0.270961538461538, 0.295670359587263, 0.564807692307692, 1.00862968732526, 2.09461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1155, '2022-10-23 00:00:00', 0.0791135989477257, 0.139807692307692, 0.085452640954823, 0.191923076923077, 0.10596879076117, 0.254230769230769, 0.733419388890149, 0.964999999999999, 0.992848756783304, 2.11057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1170, '2022-10-23 00:00:00', 0.0515319169208605, 0.123461538461539, 0.0756662713194237, 0.175769230769231, 0.129462795368458, 0.243846153846154, 0.724859668116208, 0.981538461538461, 0.987293503239265, 2.11730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1185, '2022-10-23 00:00:00', 0.0580914398566208, 0.118846153846154, 0.0962736484434623, 0.171153846153847, 0.149147964735075, 0.236346153846154, 0.72847131826755, 1.02730769230769, 0.972496074739952, 2.14115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1200, '2022-10-23 00:00:00', 0.0787625447883606, 0.121538461538462, 0.109837817503108, 0.172115384615385, 0.159962014721765, 0.234615384615384, 0.723317464082096, 1.03807692307692, 0.97123531569931, 2.14903846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1215, '2022-10-23 00:00:00', 0.0526161718339668, 0.112692307692308, 0.075818863088284, 0.1625, 0.117106132007877, 0.270384615384615, 0.720721433436931, 1.05923076923077, 0.976548789596064, 2.15346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1230, '2022-10-23 00:00:00', 0.0605640157189072, 0.115, 0.0787022138287003, 0.155961538461538, 0.131450049009559, 0.281346153846153, 0.750214225815123, 1.06923076923077, 0.984711828209342, 2.15576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1245, '2022-10-23 00:00:00', 0.0485164524037585, 0.100384615384615, 0.111045555447373, 0.203653846153846, 0.167427596291651, 0.29, 0.766838289040435, 1.07519230769231, 0.990118349569305, 2.15788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1260, '2022-10-23 00:00:00', 0.117904133156495, 0.175769230769231, 0.136805870319391, 0.219615384615385, 0.218530406263153, 0.313461538461538, 0.76710256560244, 1.07788461538461, 1.0047308097197, 2.18 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1275, '2022-10-23 00:00:00', 0.0902238668748248, 0.147115384615384, 0.174437226972473, 0.232115384615385, 0.247204680065232, 0.313076923076923, 0.744243265647422, 1.07903846153846, 0.990655668658971, 2.17557692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1290, '2022-10-23 00:00:00', 0.178114051620346, 0.183846153846154, 0.220980768393994, 0.2375, 0.26013465448021, 0.295961538461538, 0.717646929474805, 1.07134615384615, 0.969028557966093, 2.16788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1305, '2022-10-23 00:00:00', 0.137987736355864, 0.153846153846154, 0.163975256107086, 0.206730769230769, 0.197981448237338, 0.259423076923077, 0.719890189275687, 1.06673076923077, 0.967243744636511, 2.17269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1320, '2022-10-23 00:00:00', 0.0686977773685919, 0.12423076923077, 0.0874044533278393, 0.166538461538462, 0.132170781130382, 0.238653846153846, 0.693150777248356, 1.055, 0.956591786580799, 2.16038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1335, '2022-10-23 00:00:00', 0.0664312831775465, 0.123653846153846, 0.0860724203125578, 0.167692307692308, 0.678625420639738, 0.767692307692307, 0.688598129982491, 1.05923076923077, 0.96302266528164, 2.16057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1350, '2022-10-23 00:00:00', 0.0536240474184719, 0.113461538461538, 0.0853706849343131, 0.168076923076923, 0.667398191602169, 0.812115384615384, 0.702010409740921, 1.06884615384615, 0.966816663870902, 2.15730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1365, '2022-10-23 00:00:00', 0.0468122271995746, 0.11076923076923, 0.674069073155426, 0.726346153846154, 0.662105760782625, 0.859038461538461, 0.71036179839247, 1.07326923076923, 0.961434265123646, 2.15038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 990, '2022-10-23 00:00:00', 0.183118708870671, 0.382307692307692, 0.216564078277077, 0.47, 0.316151862243448, 0.6, 0.409392796148713, 0.842692307692308, 0.733899175636545, 1.97 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1005, '2022-10-23 00:00:00', 0.145617121774351, 0.287884615384615, 0.223615827842168, 0.409038461538461, 0.228411908621245, 0.52, 0.337010214408086, 0.761730769230769, 0.725176503713724, 1.91519230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1020, '2022-10-23 00:00:00', 0.156057188728511, 0.264615384615384, 0.16241115914673, 0.335769230769231, 0.221667890877668, 0.454423076923078, 0.350210705806574, 0.713461538461538, 0.72873853071856, 1.89961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1035, '2022-10-23 00:00:00', 0.0737597451188652, 0.2025, 0.127888172304496, 0.305769230769231, 0.173452831096482, 0.423269230769231, 0.334368118189427, 0.684038461538461, 0.71749417044, 1.88326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1050, '2022-10-23 00:00:00', 0.0853148016736564, 0.221153846153847, 0.109178752511649, 0.300000000000001, 0.166865676057582, 0.411923076923078, 0.311434398574378, 0.65923076923077, 0.721276965900382, 1.86730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1065, '2022-10-23 00:00:00', 0.0917934554395817, 0.194038461538462, 0.129588253266318, 0.278653846153846, 0.173833364063227, 0.370961538461538, 0.311047362211065, 0.632692307692308, 0.729232895160809, 1.85384615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1080, '2022-10-23 00:00:00', 0.0685029477187214, 0.174423076923077, 0.119796140942083, 0.253653846153846, 0.172288666532029, 0.33076923076923, 0.310304131210259, 0.605576923076923, 0.733162407236361, 1.84365384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1095, '2022-10-23 00:00:00', 0.0719957263688938, 0.160769230769231, 0.0975736408289424, 0.221153846153846, 0.164068583220554, 0.3075, 0.297697897979711, 0.575961538461539, 0.734416461186389, 1.84653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1110, '2022-10-23 00:00:00', 0.0659288660953256, 0.168846153846154, 0.119607852842272, 0.225961538461538, 0.147098214181494, 0.301730769230769, 0.296647745003034, 0.561730769230769, 0.734249695529127, 1.84615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1125, '2022-10-23 00:00:00', 0.0799961537536938, 0.149230769230769, 0.102690723122318, 0.209230769230769, 0.141111521636121, 0.302307692307692, 0.264594028655221, 0.545, 0.804178438866936, 1.94480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1140, '2022-10-23 00:00:00', 0.0556987087269186, 0.142115384615384, 0.0847460005863678, 0.20673076923077, 0.140151566307557, 0.307307692307692, 0.224585173152637, 0.5175, 0.792901414960368, 1.95057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1155, '2022-10-23 00:00:00', 0.063749811462768, 0.154038461538462, 0.0929813877157059, 0.216538461538462, 0.170897742704631, 0.339038461538461, 0.353355127532976, 0.795384615384615, 0.788841214401518, 1.95230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1170, '2022-10-23 00:00:00', 0.0653031392813545, 0.137499999999999, 0.0902654205875434, 0.205384615384615, 0.169383156914003, 0.309423076923076, 0.402836863334946, 0.871538461538461, 0.781841440742008, 1.95403846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1185, '2022-10-23 00:00:00', 0.0654396374825394, 0.127884615384615, 0.119115974514821, 0.211153846153846, 0.147110110513807, 0.27576923076923, 0.446107998307412, 0.912115384615385, 0.768109993124984, 1.96480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1200, '2022-10-23 00:00:00', 0.0783100347239198, 0.142307692307692, 0.0997504578744068, 0.191923076923076, 0.13480769779436, 0.261346153846153, 0.462298105621836, 0.931538461538461, 0.767234093250655, 1.96807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1215, '2022-10-23 00:00:00', 0.0740259829644031, 0.139615384615385, 0.0806886227801279, 0.175576923076923, 0.114649465764128, 0.2425, 0.462397140329193, 0.966346153846154, 0.768738326990801, 1.96884615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1230, '2022-10-23 00:00:00', 0.0503697864261436, 0.121346153846154, 0.104794487523841, 0.181730769230769, 0.109406967855729, 0.246730769230769, 0.491022050264705, 0.979423076923077, 0.765336552414387, 1.96903846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1245, '2022-10-23 00:00:00', 0.0985145440258208, 0.126346153846153, 0.0896791288642241, 0.167884615384615, 0.0946564638777837, 0.234615384615384, 0.496560206280707, 0.979038461538462, 0.756796106064141, 1.96211538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1260, '2022-10-23 00:00:00', 0.0393270312204638, 0.106153846153846, 0.0488659862827364, 0.15173076923077, 0.062985040959067, 0.208653846153846, 0.487717486003779, 0.962884615384616, 0.751827337993137, 1.94711538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1275, '2022-10-23 00:00:00', 0.0500553539747592, 0.111538461538462, 0.0604279609248769, 0.153461538461539, 0.0747704178443281, 0.211153846153846, 0.505895588193697, 0.962115384615385, 0.754804508567514, 1.94538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1290, '2022-10-23 00:00:00', 0.0528106195614249, 0.110192307692308, 0.0572941130013839, 0.151153846153847, 0.103196601017371, 0.218461538461539, 0.492487094715728, 0.948461538461539, 0.747361332648714, 1.94019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1305, '2022-10-23 00:00:00', 0.0435046416621704, 0.100576923076923, 0.0523876086346909, 0.142692307692308, 0.110481463812505, 0.228076923076923, 0.481637311677574, 0.9475, 0.74319872588282, 1.94788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1320, '2022-10-23 00:00:00', 0.0393465862071143, 0.101923076923077, 0.101486641788654, 0.166538461538461, 0.121811487395641, 0.244038461538462, 0.476969600708473, 0.945, 0.739321960676445, 1.95480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1335, '2022-10-23 00:00:00', 0.078224774749534, 0.123653846153846, 0.0893637768639211, 0.171730769230769, 0.300184302362091, 0.596153846153846, 0.46687702218695, 0.933076923076923, 0.741197705380649, 1.95596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1350, '2022-10-23 00:00:00', 0.0481907268449662, 0.107115384615384, 0.0689048954384568, 0.156730769230769, 0.302015537043021, 0.679230769230769, 0.433450733603646, 0.901538461538462, 0.748506538689903, 1.95096153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1365, '2022-10-23 00:00:00', 0.0533136582298211, 0.112884615384615, 0.24671978811225, 0.534423076923077, 0.338222559862585, 0.7225, 0.427708024060987, 0.893076923076923, 0.756494852288145, 1.95730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 990, '2022-10-23 00:00:00', 0.149371632565841, 0.356730769230769, 0.205010693904939, 0.51576923076923, 0.288106550802623, 0.630769230769231, 0.407370980047199, 0.803653846153846, 0.74798488261153, 1.94423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1005, '2022-10-23 00:00:00', 0.115631377163015, 0.321153846153846, 0.175579042029509, 0.425, 0.241351722277165, 0.589423076923077, 0.325652953546941, 0.720384615384616, 0.743791870185367, 1.92288461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1020, '2022-10-23 00:00:00', 0.109114089903113, 0.251730769230769, 0.15763455790579, 0.359423076923077, 0.231382550369263, 0.501730769230769, 0.25318957628319, 0.635192307692308, 0.726865160492964, 1.90480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1035, '2022-10-23 00:00:00', 0.103063274067625, 0.229038461538462, 0.149905098183946, 0.333461538461538, 0.179244568633517, 0.408846153846154, 0.215878527096927, 0.591538461538462, 0.727858423469417, 1.88826923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1050, '2022-10-23 00:00:00', 0.0986485603622195, 0.221538461538462, 0.133048285046618, 0.279615384615385, 0.138197879311348, 0.364423076923077, 0.197092325105227, 0.564230769230769, 0.724315618625345, 1.87134615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1065, '2022-10-23 00:00:00', 0.0816116507519707, 0.182692307692308, 0.093050854582113, 0.252692307692308, 0.117955663117709, 0.343461538461539, 0.186670936306482, 0.540961538461539, 0.729188484655268, 1.87038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1080, '2022-10-23 00:00:00', 0.0623982248268209, 0.161538461538462, 0.0826831300810509, 0.2275, 0.112451699032894, 0.29923076923077, 0.188235531674058, 0.521153846153846, 0.726066880793096, 1.85134615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1095, '2022-10-23 00:00:00', 0.0435435237611577, 0.159038461538462, 0.0926615014240213, 0.223076923076923, 0.113689861532965, 0.27923076923077, 0.183601575324229, 0.508461538461539, 0.709303260520221, 1.83865384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1110, '2022-10-23 00:00:00', 0.0601820954718646, 0.14173076923077, 0.065521869514044, 0.191346153846154, 0.113812936942092, 0.270769230769231, 0.193650358993888, 0.502692307692308, 0.726574179600086, 1.83903846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1125, '2022-10-23 00:00:00', 0.0492903485637755, 0.133461538461539, 0.0824007561578451, 0.19673076923077, 0.108032936573137, 0.256346153846154, 0.194021905979712, 0.4875, 1.06381391157549, 2.09596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1140, '2022-10-23 00:00:00', 0.0628380090758409, 0.133846153846154, 0.0767503445244087, 0.181153846153846, 0.118395685992094, 0.246538461538462, 0.204582595695574, 0.485961538461539, 1.06113422626633, 2.10961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1155, '2022-10-23 00:00:00', 0.0621722173915699, 0.130769230769231, 0.0703846574190712, 0.175, 0.116887190849192, 0.246153846153846, 0.350430998365419, 0.778269230769231, 1.0759887939079, 2.12326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1170, '2022-10-23 00:00:00', 0.0332941436291736, 0.1125, 0.0792309185958266, 0.171538461538462, 0.0878775371665683, 0.222692307692308, 0.382657107001113, 0.822307692307693, 1.07578860162423, 2.12865384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1185, '2022-10-23 00:00:00', 0.0580692557343249, 0.115961538461538, 0.0684678475917429, 0.160384615384615, 0.122082569788459, 0.231923076923077, 0.381386993041895, 0.820961538461539, 1.07784528645741, 2.12769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1200, '2022-10-23 00:00:00', 0.0413321443170588, 0.107884615384615, 0.0552355097601311, 0.145192307692308, 0.131708448417766, 0.238653846153846, 0.407967381803233, 0.839230769230769, 1.08222527158699, 2.13653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1215, '2022-10-23 00:00:00', 0.0430563137512506, 0.0996153846153848, 0.124899959967967, 0.175, 0.132889196180647, 0.251538461538461, 0.440161377748592, 0.849038461538461, 1.06973578693346, 2.14557692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1230, '2022-10-23 00:00:00', 0.116914334187308, 0.129807692307693, 0.118075595081483, 0.169615384615385, 0.125263568280892, 0.249807692307692, 0.468630410385905, 0.852307692307693, 1.06855151778183, 2.13788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1245, '2022-10-23 00:00:00', 0.0828847670889209, 0.10826923076923, 0.0954287893989745, 0.169423076923076, 0.119260058437272, 0.229807692307692, 0.48189836943233, 0.855961538461538, 1.05322356820164, 2.13673076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1260, '2022-10-23 00:00:00', 0.0500415212214202, 0.116923076923076, 0.0725152503854296, 0.162692307692307, 0.103459579621148, 0.221730769230769, 0.483036389774263, 0.858076923076923, 1.04656575742539, 2.13326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1275, '2022-10-23 00:00:00', 0.0412534380851607, 0.110384615384616, 0.0547483754588635, 0.150769230769231, 0.0989770758229481, 0.222307692307692, 0.478077761618176, 0.862115384615385, 1.04211013739505, 2.13346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1290, '2022-10-23 00:00:00', 0.0500065380340794, 0.0955769230769232, 0.0978192996530609, 0.148846153846154, 0.115300276869372, 0.216923076923077, 0.475899835938355, 0.864423076923077, 1.04110968904116, 2.13076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1305, '2022-10-23 00:00:00', 0.0655218695140434, 0.103653846153846, 0.0681110518536848, 0.148653846153846, 0.102484708052545, 0.216346153846154, 0.470786085671123, 0.868461538461538, 1.04162596638436, 2.13057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1320, '2022-10-23 00:00:00', 0.0403255979020005, 0.101923076923077, 0.0677520933539779, 0.152884615384616, 0.101816010528797, 0.2325, 0.468532775308688, 0.869807692307693, 1.05321443868101, 2.13442307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1335, '2022-10-23 00:00:00', 0.0614328902136307, 0.11, 0.0837845221615915, 0.164615384615384, 0.300386673882438, 0.626923076923077, 0.47073449155385, 0.869807692307692, 1.07389379578028, 2.13326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1350, '2022-10-23 00:00:00', 0.0560346733316495, 0.113269230769231, 0.0821885730406702, 0.164807692307692, 0.335009529141164, 0.665769230769231, 0.457516077901598, 0.870192307692308, 1.07936692627598, 2.13519230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1365, '2022-10-23 00:00:00', 0.0517702022997199, 0.113076923076923, 0.281850205714912, 0.588461538461538, 0.32056224644545, 0.678076923076923, 0.435296892494518, 0.859230769230769, 1.06864509831555, 2.12711538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2022-10-23 14:59:20 Duration: 3s318ms 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 515840217996281300, 1, 990, '2022-10-23 00:00:00', 0.813686396560776, 2.24386363636364, 0.933803868326834, 2.98795454545455, 1.23020176168744, 3.41522727272727, 1.67258026098518, 4.86340909090909, 5.82931395074614, 14.2502272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1005, '2022-10-23 00:00:00', 0.701641859285276, 1.75181818181819, 0.864545272463231, 2.29136363636363, 1.29913699293297, 2.89045454545454, 1.53028722935565, 4.49136363636364, 5.94956219059354, 14.1554545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1020, '2022-10-23 00:00:00', 0.671002512882301, 1.50409090909091, 0.865582530370804, 2.05545454545454, 1.08793752705317, 2.80659090909091, 1.50653333677195, 4.45113636363637, 5.94351822361628, 14.1377272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1035, '2022-10-23 00:00:00', 0.756721289768965, 1.41840909090909, 0.972817348258957, 1.94545454545454, 0.93609844729617, 2.63772727272727, 1.37550038120726, 4.27818181818182, 6.00584936735651, 14.1013636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1050, '2022-10-23 00:00:00', 0.432797954320571, 1.20045454545454, 0.692945318395117, 1.8125, 0.941442230849019, 2.47704545454545, 1.50706900323757, 4.07386363636363, 6.0590423821545, 14.0272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1065, '2022-10-23 00:00:00', 0.465481410716843, 1.18409090909091, 0.586123121752424, 1.63386363636364, 0.89741680751306, 2.27045454545455, 1.59080537540714, 4.06113636363636, 6.14712499230296, 14.1086363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1080, '2022-10-23 00:00:00', 0.465473505600033, 1.24181818181819, 0.657050382868548, 1.73659090909091, 0.813148708730958, 2.33818181818182, 1.63321604292181, 4.14250000000001, 6.20178513000098, 14.1456818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1095, '2022-10-23 00:00:00', 0.488536997850111, 1.16727272727273, 0.505080090944395, 1.60977272727273, 0.801299404673894, 2.24454545454546, 1.44068037978934, 3.89636363636364, 6.25201113962885, 14.0936363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1110, '2022-10-23 00:00:00', 0.460613944239323, 1.1484090909091, 0.636114294843213, 1.55659090909091, 0.84380874815517, 2.13681818181818, 1.59185290494934, 3.85363636363637, 6.19402181761222, 14.1459090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1125, '2022-10-23 00:00:00', 0.370416943620573, 1.01704545454546, 0.613104194445573, 1.5959090909091, 0.84440868549449, 1.99886363636364, 1.76059077304463, 3.94181818181819, 6.10166292711998, 15.01 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1140, '2022-10-23 00:00:00', 0.55343579542136, 1.14568181818182, 0.693099920646364, 1.4325, 0.751969851795041, 1.77590909090909, 1.77833098524251, 3.93704545454546, 6.20309672087832, 15.2225 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1155, '2022-10-23 00:00:00', 0.415063821828007, 0.807500000000001, 0.431454301001635, 1.17863636363636, 0.637835600485541, 1.72840909090909, 2.19437573092779, 5.30090909090909, 6.23246032384576, 15.3704545454546 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1170, '2022-10-23 00:00:00', 0.392841587649543, 0.924318181818182, 0.496841539277378, 1.27909090909091, 0.723537336325006, 1.80590909090909, 2.51345045127126, 5.90386363636364, 6.37797787591916, 15.4725 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1185, '2022-10-23 00:00:00', 0.366650334150221, 0.810909090909091, 0.501259668646163, 1.19727272727272, 0.798986946509544, 1.80295454545455, 2.67337280079578, 6.27431818181818, 6.35966824140164, 15.5770454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1200, '2022-10-23 00:00:00', 0.450652725264011, 0.925454545454545, 0.569509595752071, 1.24568181818182, 0.983617346540613, 1.99568181818183, 2.66850133045674, 6.37772727272728, 6.35867648702673, 15.585 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1215, '2022-10-23 00:00:00', 0.288672229083712, 0.794318181818179, 0.521722142051205, 1.24522727272727, 0.815337585781433, 1.86704545454546, 2.5306671112848, 6.54386363636364, 6.23973751390427, 15.6713636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1230, '2022-10-23 00:00:00', 0.368082738793061, 0.902954545454542, 0.711501407761612, 1.36840909090909, 0.717720809349399, 1.78272727272727, 2.47660049261079, 6.56000000000001, 6.20063739566781, 15.7027272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1245, '2022-10-23 00:00:00', 0.522966531918147, 0.920227272727273, 0.548004249991415, 1.23909090909091, 0.597373580605301, 1.76863636363636, 2.51526938648331, 6.54909090909092, 6.19583318995508, 15.6968181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1260, '2022-10-23 00:00:00', 0.411201452087824, 0.846590909090915, 0.555712219974124, 1.2375, 0.735255352173952, 1.74136363636365, 2.50084353734264, 6.67772727272728, 6.16546930431287, 15.6988636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1275, '2022-10-23 00:00:00', 0.38009489872219, 0.789318181818185, 0.443716166931668, 1.13431818181819, 0.828751114081256, 1.89613636363638, 2.46568299679676, 6.68045454545455, 6.1455906350201, 15.7615909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1290, '2022-10-23 00:00:00', 0.294988443533277, 0.784090909090909, 0.458149687726228, 1.20477272727273, 1.17167049225635, 1.96613636363637, 2.45465231048473, 6.76181818181819, 6.11711834531991, 15.7797727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1305, '2022-10-23 00:00:00', 0.450224631283896, 0.986136363636368, 0.816335519044521, 1.58681818181819, 1.36631271812969, 2.11840909090909, 2.44881833858931, 6.83272727272728, 6.15140753962984, 15.8786363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1320, '2022-10-23 00:00:00', 0.683364678301259, 1.07704545454546, 1.06371958271404, 1.48772727272727, 1.39121299342466, 2.12954545454545, 2.44500937285184, 6.89250000000001, 6.17855655416973, 15.9020454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1335, '2022-10-23 00:00:00', 0.600233179797539, 1.04318181818182, 0.85100987246348, 1.40022727272727, 1.97339336810516, 4.26636363636363, 2.49788764655363, 6.78386363636364, 6.17798520040019, 15.9147727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1350, '2022-10-23 00:00:00', 0.404297263231254, 0.909090909090904, 0.488960820498623, 1.45227272727272, 2.23632646556939, 4.88681818181818, 2.50921950447645, 6.75295454545455, 6.1829336051237, 15.9231818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1365, '2022-10-23 00:00:00', 0.51049398875414, 1.27272727272728, 1.99103245259155, 4.14431818181818, 2.49458231154855, 5.33863636363637, 2.54289422488648, 6.7259090909091, 6.15698505676094, 15.9456818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 990, '2022-10-23 00:00:00', 0.899020321495322, 1.99653846153846, 1.13682501528802, 2.95365384615385, 1.5308465355432, 3.82865384615385, 1.8269867163005, 5.55230769230769, 5.44358803123879, 15.5255769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1005, '2022-10-23 00:00:00', 0.817430401648032, 1.93769230769231, 1.12360431373601, 2.71942307692308, 1.22931082944251, 3.43634615384616, 1.42318240357523, 5.00692307692308, 5.41211475800784, 15.3030769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1020, '2022-10-23 00:00:00', 0.50499996191927, 1.66980769230769, 0.599921661552574, 2.065, 1.03170070570581, 2.96711538461539, 1.33624434948795, 4.53019230769231, 5.39645979751113, 14.9978846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1035, '2022-10-23 00:00:00', 0.476714113650776, 1.25211538461539, 0.741158552537852, 1.945, 1.38255339304325, 2.70826923076924, 1.31793719939096, 4.2323076923077, 5.46257440364748, 14.9413461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1050, '2022-10-23 00:00:00', 0.519832813360367, 1.38307692307692, 0.744333672074976, 1.86615384615384, 1.03426696449522, 2.47192307692307, 1.30102350241883, 3.93807692307692, 5.50734131375148, 14.8421153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1065, '2022-10-23 00:00:00', 0.53053430977285, 1.11057692307692, 0.884896691058422, 1.66307692307693, 0.994166929954615, 2.25826923076923, 1.44949349243637, 3.91923076923077, 5.55637003807342, 14.835 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1080, '2022-10-23 00:00:00', 0.629130321585648, 1.16519230769231, 0.735937732524872, 1.61288461538461, 0.926384701614087, 2.27884615384615, 1.43630583844057, 3.91230769230769, 5.58209005522263, 14.8707692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1095, '2022-10-23 00:00:00', 0.419214329247173, 1.06057692307692, 0.690896546858893, 1.54096153846154, 0.926429228481384, 2.22634615384615, 1.42747124449012, 3.94307692307692, 5.5930889532048, 14.9309615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1110, '2022-10-23 00:00:00', 0.450634595278188, 1.10153846153847, 0.577389083587623, 1.57307692307692, 0.910002451391462, 2.23730769230769, 1.27034568281479, 3.83307692307692, 5.54799471742858, 15.0657692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1125, '2022-10-23 00:00:00', 0.404171564865904, 0.970576923076921, 0.615537694902718, 1.50442307692307, 0.756105507493199, 1.98153846153846, 1.30815914404702, 3.87211538461538, 6.19459825480729, 15.7615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1140, '2022-10-23 00:00:00', 0.499121073642298, 1.07538461538461, 0.644034548762719, 1.5725, 0.617769685736828, 1.80423076923077, 1.32599930386337, 3.84192307692307, 6.28463924672995, 15.9973076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1155, '2022-10-23 00:00:00', 0.282010706288857, 1.03096153846155, 0.377032338951696, 1.30923076923077, 0.495954247269458, 1.68115384615385, 3.43619583931909, 5.91961538461539, 6.34893697037907, 16.1594230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1170, '2022-10-23 00:00:00', 0.296732980200146, 0.852692307692307, 0.345546890951361, 1.06942307692308, 0.605674734998405, 1.77326923076923, 3.57227072796088, 6.21192307692307, 6.38204345138645, 16.1488461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1185, '2022-10-23 00:00:00', 0.340571013717574, 0.766153846153848, 0.457853016387777, 1.22076923076923, 1.04777282109024, 1.98673076923077, 3.5776532058793, 6.35730769230769, 6.47322192099587, 16.2359615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1200, '2022-10-23 00:00:00', 0.394573771984984, 0.967692307692307, 0.535570867249291, 1.37307692307692, 1.15285406708743, 2.0075, 3.48568020069806, 6.5526923076923, 6.48603753932541, 16.3198076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1215, '2022-10-23 00:00:00', 0.397665882175169, 0.846923076923077, 0.997182280227645, 1.3825, 1.00658898494639, 1.94923076923077, 3.38842889052638, 6.59211538461538, 6.57475056268589, 16.3098076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1230, '2022-10-23 00:00:00', 0.641531730733927, 0.970192307692307, 0.69740135778916, 1.29942307692308, 0.726381468968987, 1.78403846153847, 3.41427548908763, 6.63865384615385, 6.60794948120473, 16.2621153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1245, '2022-10-23 00:00:00', 0.353780081623954, 0.792884615384619, 0.46272088280584, 1.30884615384616, 0.646805195973607, 1.85480769230769, 3.54639336292738, 6.71173076923077, 6.61227678989271, 16.2421153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1260, '2022-10-23 00:00:00', 0.425951107703512, 0.952115384615384, 0.566633140033844, 1.32365384615385, 0.783849475345874, 2.08, 3.75628548108162, 6.72384615384615, 6.62471606648454, 16.2001923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1275, '2022-10-23 00:00:00', 0.425272084851388, 0.862884615384619, 0.601979938331707, 1.30461538461539, 0.847083230857516, 2.115, 3.75946784286532, 6.70730769230769, 6.61519459566092, 16.2265384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1290, '2022-10-23 00:00:00', 0.518696776695061, 0.952115384615381, 0.786330743683303, 1.58403846153846, 0.81308756269874, 2.11576923076923, 3.76694575832382, 6.58788461538462, 6.65969923379542, 16.1232692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1305, '2022-10-23 00:00:00', 0.516826745259356, 1.06173076923076, 0.58907597133137, 1.5125, 0.951368164600531, 2.33076923076923, 3.8468224699594, 6.58865384615385, 6.70229796413141, 16.08 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1320, '2022-10-23 00:00:00', 0.399902920911872, 0.987884615384615, 0.628564910056111, 1.41038461538461, 0.972175593509416, 2.17923076923076, 4.06374679802538, 6.52596153846154, 6.75211225070746, 16.0396153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1335, '2022-10-23 00:00:00', 0.395067082911248, 1.025, 0.73510417890674, 1.67192307692307, 3.48200791431964, 4.74134615384615, 4.09341756782952, 6.55923076923077, 6.65824604993976, 16.0723076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1350, '2022-10-23 00:00:00', 0.441617307353146, 1.07538461538462, 0.538159863294847, 1.48403846153846, 3.45099850099158, 4.98557692307692, 4.03621064194546, 6.43788461538461, 6.63489853843934, 15.9588461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1365, '2022-10-23 00:00:00', 0.457718758123866, 1.2126923076923, 3.39699022892098, 4.38115384615384, 3.42143726546877, 5.1401923076923, 4.05569696182466, 6.46461538461538, 6.56090393924495, 15.9975 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 990, '2022-10-23 00:00:00', 1.21988361676905, 2.19596153846154, 1.56225577783685, 3.02134615384615, 1.71331173911364, 3.70634615384615, 2.36525984911724, 5.06807692307693, 6.08406974116706, 14.9961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1005, '2022-10-23 00:00:00', 0.876494240623495, 1.87307692307692, 1.37787954424961, 2.61596153846154, 1.5343129256596, 3.38307692307693, 2.29398656189478, 4.78711538461539, 5.93585082035747, 14.7751923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1020, '2022-10-23 00:00:00', 0.912589805907426, 1.77192307692309, 1.16716665476701, 2.43500000000001, 1.43974463547693, 2.96384615384616, 2.28007025026726, 4.61288461538462, 5.87406212481225, 14.5746153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1035, '2022-10-23 00:00:00', 0.819206863139824, 1.54673076923077, 0.98028208263665, 2.10519230769231, 1.50205213470925, 2.67615384615384, 2.10372732402422, 4.71942307692308, 5.89540199255709, 14.4005769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1050, '2022-10-23 00:00:00', 0.581885297975463, 1.3875, 0.943047514913541, 1.76115384615384, 1.2790306425631, 2.43423076923077, 1.74601547486313, 4.45096153846154, 5.86016314094254, 14.3640384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1065, '2022-10-23 00:00:00', 0.520753891377317, 1.10884615384615, 0.66459611795436, 1.66, 0.839888385441781, 2.1925, 1.55836409540458, 4.56942307692308, 5.99665122252539, 14.3567307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1080, '2022-10-23 00:00:00', 0.447305780801527, 1.22230769230769, 0.63959085479583, 1.64769230769231, 0.72171696988182, 2.17423076923077, 1.76137853573667, 4.64288461538462, 6.08302790557465, 14.3325 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1095, '2022-10-23 00:00:00', 0.584852413993346, 1.17788461538461, 0.641831633805811, 1.60538461538462, 0.818571856720827, 2.21173076923077, 1.91709941157107, 4.60192307692308, 6.20789521186838, 14.3151923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1110, '2022-10-23 00:00:00', 0.408213226710668, 1.04903846153847, 0.744464908508118, 1.49000000000001, 1.05047915806953, 2.20269230769232, 2.10696949705933, 4.62230769230769, 6.28558479012463, 14.3130769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1125, '2022-10-23 00:00:00', 0.497411917212098, 0.97884615384616, 0.635885693646758, 1.46384615384615, 0.97984488568344, 2.15000000000001, 2.28661319086009, 4.68326923076923, 6.32775792411133, 14.9678846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1140, '2022-10-23 00:00:00', 0.493178856618352, 0.944230769230764, 0.891547832963299, 1.43653846153846, 1.00900567963638, 2.0126923076923, 2.47311211603144, 4.66653846153846, 6.19405508097513, 15.3378846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1155, '2022-10-23 00:00:00', 0.703812037844897, 1.05423076923077, 0.791359200752341, 1.47923076923077, 1.01676023949375, 2.06576923076923, 3.07608027928651, 6.30326923076923, 6.1225054951761, 15.5034615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1170, '2022-10-23 00:00:00', 0.349379504924861, 0.900961538461538, 0.477900214882365, 1.28115384615385, 0.832432302629786, 1.83653846153846, 2.99265542620596, 6.3925, 5.97428996746765, 15.6788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1185, '2022-10-23 00:00:00', 0.331823922260913, 0.858653846153841, 0.668027780398844, 1.33134615384615, 0.627316537691726, 1.66903846153846, 2.92574432344212, 6.58538461538462, 5.90813509884074, 15.8078846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1200, '2022-10-23 00:00:00', 0.524816194930695, 0.944038461538463, 0.506047922631835, 1.2325, 0.67515368620781, 1.6825, 2.86516953451946, 6.72230769230769, 5.85381675950368, 15.8805769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1215, '2022-10-23 00:00:00', 0.36149460044909, 0.817884615384614, 0.520099842485886, 1.18461538461538, 1.14676387483012, 2.25923076923077, 3.03603689675562, 6.94596153846153, 5.87200477166542, 15.8690384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1230, '2022-10-23 00:00:00', 0.378327086811635, 0.829230769230766, 0.578392068250746, 1.20923076923076, 1.26314662039503, 2.29576923076923, 3.0796311717227, 7.13192307692308, 5.85587993781924, 15.8853846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1245, '2022-10-23 00:00:00', 0.484394467350736, 0.864999999999998, 1.21051751488616, 1.82057692307692, 1.75160455011969, 2.5975, 3.13282178652949, 7.27788461538461, 5.84452655185898, 15.9088461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1260, '2022-10-23 00:00:00', 1.27334930853182, 1.5726923076923, 1.32607432498507, 1.92865384615384, 2.03059991135625, 2.745, 3.26724937241381, 7.41730769230769, 5.8377484068379, 15.9326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1275, '2022-10-23 00:00:00', 0.613232920988927, 1.14384615384616, 1.5998314334281, 2.06384615384616, 2.01635837969956, 2.72134615384615, 3.41509024545697, 7.40923076923077, 5.80484232874058, 15.8473076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1290, '2022-10-23 00:00:00', 1.67941492788411, 1.64750000000001, 2.02306846152077, 2.12, 2.16723710143726, 2.67942307692308, 3.46282492504868, 7.36230769230769, 5.7919115118878, 15.8901923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1305, '2022-10-23 00:00:00', 0.980130152267865, 1.25634615384615, 1.17845146109369, 1.70961538461538, 1.82849514628833, 2.37249999999999, 3.42682411840198, 7.21153846153846, 5.78403500694268, 15.7451923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1320, '2022-10-23 00:00:00', 0.679469929147268, 1.14423076923076, 0.947274572330863, 1.56634615384616, 1.48522928817793, 2.40903846153846, 3.34383299753211, 7.06865384615385, 5.80213163746407, 15.7134615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1335, '2022-10-23 00:00:00', 0.765573214104205, 1.13288461538462, 1.12719756305354, 1.60211538461538, 2.64803826517785, 4.70942307692308, 3.34197970462925, 6.99711538461539, 5.87916438659571, 15.5932692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1350, '2022-10-23 00:00:00', 0.614140957260315, 1.13634615384615, 0.812983394664366, 1.79, 2.64724582567212, 4.90230769230769, 3.42646204617038, 6.86192307692308, 5.93489254649665, 15.5315384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1365, '2022-10-23 00:00:00', 0.444467226446018, 1.33134615384615, 2.54654930928411, 4.18076923076923, 2.75276185787181, 5.19461538461539, 3.31538253971021, 6.78423076923077, 5.95016698214299, 15.5436538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 990, '2022-10-23 00:00:00', 0.93363903418497, 2.19961538461539, 1.02740968160036, 3.00557692307692, 1.41442922709535, 3.93903846153845, 2.75207122699641, 5.86403846153847, 5.63467660665086, 15.2626923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1005, '2022-10-23 00:00:00', 0.599959133223642, 1.84480769230768, 1.03703840519345, 2.82442307692307, 1.33126968024457, 3.53980769230769, 2.85351718869079, 5.53711538461538, 5.60028768491818, 15.0119230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1020, '2022-10-23 00:00:00', 0.692387869288925, 1.91019230769231, 0.962013773290173, 2.39749999999999, 1.25486579116899, 3.20307692307692, 2.67713110652774, 5.25480769230769, 5.37888723121742, 14.7946153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1035, '2022-10-23 00:00:00', 0.665098026320469, 1.49923076923076, 0.835539438833471, 2.06307692307692, 1.19928581311481, 2.9726923076923, 2.6158774744889, 4.89980769230769, 5.34106205586636, 14.5882692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1050, '2022-10-23 00:00:00', 0.605893269352086, 1.38057692307692, 0.869070259176219, 2.04134615384616, 1.43504994552589, 3.01288461538462, 2.65336804834911, 4.735, 5.38559542097822, 14.4909615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1065, '2022-10-23 00:00:00', 0.771415905980688, 1.3225, 1.01940382275434, 1.97307692307692, 1.72814788585486, 2.74134615384615, 2.56222287056796, 4.52096153846154, 5.44670551448658, 14.3948076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1080, '2022-10-23 00:00:00', 0.594966838119183, 1.38346153846153, 1.1733856340325, 1.90461538461539, 1.59863884409399, 2.57192307692308, 2.4903519059331, 4.44384615384616, 5.52348591157655, 14.3161538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1095, '2022-10-23 00:00:00', 0.800502654586481, 1.21250000000001, 1.18205238722903, 1.84961538461539, 1.43937919310321, 2.57769230769231, 2.10189417321249, 4.47134615384616, 5.52394516209622, 14.3069230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1110, '2022-10-23 00:00:00', 0.824966875791898, 1.27711538461539, 0.960278585379504, 1.7348076923077, 1.20465532893789, 2.39730769230769, 1.88590125363485, 4.32153846153847, 5.53418371438963, 14.2292307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1125, '2022-10-23 00:00:00', 0.552298031306118, 1.07865384615385, 0.930396131515206, 1.65519230769231, 1.10903292938557, 2.21903846153846, 1.64340899212113, 4.17365384615386, 5.52578360610859, 14.5523076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1140, '2022-10-23 00:00:00', 0.71240850964555, 1.23826923076923, 0.839332449949642, 1.66980769230769, 1.13249438782783, 2.16346153846154, 1.58884690892482, 4.21750000000001, 5.43872182735839, 14.5436538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1155, '2022-10-23 00:00:00', 0.41146628051397, 1.0725, 0.723184304628859, 1.46846153846154, 1.11505648356415, 2.10480769230769, 2.87715829355179, 6.30538461538462, 5.49544235288172, 14.5305769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1170, '2022-10-23 00:00:00', 0.518203999034537, 0.914230769230771, 0.618798867534143, 1.25596153846154, 0.927726169811896, 1.96461538461539, 3.1040220124616, 6.51442307692308, 5.57408109018877, 14.545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1185, '2022-10-23 00:00:00', 0.303632178795327, 0.882500000000005, 0.628245052629818, 1.46961538461539, 0.861679844168441, 1.98192307692307, 3.25731146806688, 6.785, 5.53849978645981, 14.6132692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1200, '2022-10-23 00:00:00', 0.520182512349127, 1.10461538461538, 0.620651797585541, 1.43942307692308, 0.928466663997072, 2.00711538461538, 3.37908954510622, 7.01307692307692, 5.50950806473542, 14.6586538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1215, '2022-10-23 00:00:00', 0.438951723296104, 0.843846153846155, 0.625661619038967, 1.3076923076923, 0.756563510984933, 1.85288461538461, 3.38480703347268, 7.12557692307693, 5.52018374833525, 14.5988461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1230, '2022-10-23 00:00:00', 0.37987811810551, 0.924230769230764, 0.647428641746607, 1.34538461538461, 0.681288146426707, 1.71346153846154, 3.27999669910716, 7.01288461538462, 5.45538425636686, 14.5042307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1245, '2022-10-23 00:00:00', 0.470137623058818, 0.915769230769222, 0.459334175318349, 1.14173076923077, 0.631411026681817, 1.61326923076923, 3.25343570469978, 7.10326923076923, 5.48171838933742, 14.4825 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1260, '2022-10-23 00:00:00', 0.264640249279017, 0.782692307692307, 0.439756226177105, 1.10153846153846, 0.612976376756512, 1.68403846153847, 3.12662320304928, 7.15557692307693, 5.47055412746629, 14.4573076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1275, '2022-10-23 00:00:00', 0.396935181687808, 0.838461538461539, 0.453744294306148, 1.24173076923077, 0.815337141215917, 1.99057692307693, 3.08436773847637, 7.13788461538462, 5.46124211005293, 14.4807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1290, '2022-10-23 00:00:00', 0.273132047523931, 0.856346153846157, 0.503280354657944, 1.28134615384615, 0.851642508062191, 1.97480769230769, 2.93991086337926, 7.04673076923078, 5.35541221928449, 14.4509615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1305, '2022-10-23 00:00:00', 0.353508350461708, 0.908076923076924, 0.659919342390816, 1.47153846153846, 0.87027159774759, 2.01442307692308, 2.85668008628628, 7.18365384615385, 5.22724457493179, 14.4603846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1320, '2022-10-23 00:00:00', 0.390567092630894, 1.11442307692308, 0.647964534879443, 1.45096153846154, 0.960278104749636, 2.28403846153847, 2.70675767577828, 7.10365384615385, 5.08983067951714, 14.3928846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1335, '2022-10-23 00:00:00', 0.523135259756015, 1.03250000000001, 0.631445868317612, 1.43173076923078, 2.32742902064786, 4.88038461538462, 2.7359397555783, 7.08288461538462, 5.02401814747458, 14.3621153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1350, '2022-10-23 00:00:00', 0.40558428887793, 1.01615384615385, 0.686734412889119, 1.81807692307693, 2.36241568022096, 5.22461538461539, 2.64795779073959, 6.9973076923077, 4.92228808583975, 14.28 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1365, '2022-10-23 00:00:00', 0.691261416653531, 1.47788461538462, 2.20044912373675, 4.50788461538461, 2.30558333182733, 5.4775, 2.59724267993222, 6.93846153846154, 4.84081487100928, 14.2211538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 990, '2022-10-23 00:00:00', 0.832270689139058, 2.0675, 0.938515296379593, 2.7798076923077, 1.3704611941297, 3.82173076923077, 2.01954622664065, 5.4398076923077, 4.0493262545002, 13.4236538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1005, '2022-10-23 00:00:00', 0.483021579387346, 1.81961538461538, 0.789761916412399, 2.65326923076923, 1.25932735403285, 3.58576923076923, 1.98772700687146, 5.10057692307693, 3.9787354823438, 13.2659615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1020, '2022-10-23 00:00:00', 0.73132850663391, 1.71576923076923, 1.07405206864186, 2.37961538461538, 1.30159453984483, 2.97788461538461, 2.15118568379251, 4.70038461538462, 3.88391553520612, 13.1267307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1035, '2022-10-23 00:00:00', 0.821833035635299, 1.53346153846153, 1.12586276319028, 2.12480769230769, 1.35080285243771, 2.84211538461538, 2.10832964325207, 4.54826923076923, 3.98222877776523, 13.2409615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1050, '2022-10-23 00:00:00', 0.442479204204956, 1.24461538461539, 0.952388656928549, 1.79307692307693, 1.19189624290295, 2.63557692307693, 1.99668525311327, 4.28000000000001, 3.87618808089359, 13.1359615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1065, '2022-10-23 00:00:00', 0.759949315111515, 1.27519230769231, 0.822730912173691, 1.91192307692307, 1.01261590029905, 2.4448076923077, 1.94253598125273, 4.16596153846154, 3.86870101435373, 13.1434615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1080, '2022-10-23 00:00:00', 0.510585787261891, 1.30961538461538, 0.738136869734567, 1.80596153846154, 0.814294149271909, 2.2898076923077, 1.76882869762407, 4.05980769230769, 3.92654506581119, 13.1619230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1095, '2022-10-23 00:00:00', 0.427037018752026, 1.09115384615385, 0.633163607487158, 1.51807692307692, 0.925970114985444, 2.15942307692308, 1.81644649924389, 3.99826923076923, 4.01913641700074, 13.1315384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1110, '2022-10-23 00:00:00', 0.561897335270974, 1.02384615384615, 0.641581369622091, 1.49942307692308, 0.826253267187768, 2.03730769230769, 1.8204528599732, 3.95115384615385, 4.07949732951727, 13.2526923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1125, '2022-10-23 00:00:00', 0.328607083588612, 0.978846153846148, 0.586241385044127, 1.44980769230769, 0.927532292616349, 1.92192307692307, 1.88075516747927, 3.835, 4.94462339314128, 14.2125 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1140, '2022-10-23 00:00:00', 0.550359078588347, 1.03634615384615, 0.537016258169583, 1.36230769230769, 0.922141591830998, 1.85365384615385, 1.82116881319494, 4.01461538461539, 5.00812466436751, 14.2594230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1155, '2022-10-23 00:00:00', 0.360292402618506, 0.908846153846152, 0.65606050377643, 1.29923076923076, 0.92260177674961, 1.82903846153846, 2.4586264145156, 5.90038461538462, 5.31346012500329, 14.2525 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1170, '2022-10-23 00:00:00', 0.461708407814016, 0.884423076923074, 0.587432091001554, 1.24730769230769, 0.823582044859759, 1.69076923076923, 2.58987216791753, 6.25038461538462, 5.33580078699173, 14.3459615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1185, '2022-10-23 00:00:00', 0.358452013739424, 0.859615384615383, 0.521197290269833, 1.20384615384616, 0.647508598101506, 1.67576923076923, 2.71958639389267, 6.31692307692308, 5.38951371075921, 14.4309615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1200, '2022-10-23 00:00:00', 0.367149361767329, 0.820576923076926, 0.47515908267248, 1.15307692307693, 0.83388875849148, 1.75269230769231, 2.75873256852044, 6.24423076923077, 5.55796965211634, 14.5705769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1215, '2022-10-23 00:00:00', 0.312138344574721, 0.792884615384617, 0.4318662987546, 1.19249999999999, 0.920039464036528, 1.71384615384615, 2.80223213912382, 6.29980769230769, 5.60405375255613, 14.6423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1230, '2022-10-23 00:00:00', 0.364451115219332, 0.821153846153837, 0.624762385600745, 1.15596153846153, 0.750353250142893, 1.64499999999999, 2.85861200854271, 6.29615384615384, 5.62681091875181, 14.6063461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1245, '2022-10-23 00:00:00', 0.466085168842965, 0.755769230769236, 0.62106871290851, 1.11788461538462, 0.679062475884096, 1.54538461538462, 2.90441732538559, 6.23499999999999, 5.61702433198877, 14.5278846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1260, '2022-10-23 00:00:00', 0.388743983381584, 0.77326923076923, 0.462744654625655, 1.12615384615385, 0.598911063129132, 1.51269230769231, 2.87236131753328, 6.13846153846154, 5.56323516835857, 14.4784615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1275, '2022-10-23 00:00:00', 0.350253314924197, 0.780769230769227, 0.384370214166582, 1.05269230769231, 0.691908870166717, 1.69173076923077, 2.95884603935646, 6.15326923076923, 5.56699003052817, 14.475 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1290, '2022-10-23 00:00:00', 0.294225515287435, 0.749423076923077, 0.410933646150406, 1.01269230769231, 0.706104808084472, 1.68999999999999, 2.93298661121023, 6.13730769230769, 5.50935675779082, 14.4982692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1305, '2022-10-23 00:00:00', 0.416590972611674, 0.794038461538463, 0.598424984052688, 1.33230769230769, 0.951721133202685, 1.88134615384615, 3.02424658131829, 6.22423076923077, 5.48798019451461, 14.4988461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1320, '2022-10-23 00:00:00', 0.474382392006866, 1.06442307692308, 0.525994186864638, 1.33673076923076, 1.1706289565213, 2.26307692307693, 3.03443357406034, 6.23634615384615, 5.51238520201415, 14.4688461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1335, '2022-10-23 00:00:00', 0.450675774638661, 0.935576923076922, 0.926346338289055, 1.45653846153846, 2.56732213824804, 4.77519230769231, 3.05509622786885, 6.15480769230769, 5.61837270787685, 14.4367307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1350, '2022-10-23 00:00:00', 0.595173407180949, 1.09576923076923, 0.910920688095291, 1.8175, 2.50403766253318, 5.09615384615385, 2.87343372720086, 6.05423076923077, 5.63919649554657, 14.4013461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1365, '2022-10-23 00:00:00', 0.560559507580121, 1.37980769230769, 2.28964647086368, 4.3548076923077, 2.32891315027815, 5.10230769230769, 2.66268687318194, 5.96076923076923, 5.74490447132199, 14.3857692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2022-10-23 14:52:08 Duration: 3s190ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
9 2m48s 1,032 0ms 29s369ms 163ms 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 #9
Day Hour Count Duration Avg duration Oct 23 14 1,032 2m48s 163ms [ User: postgres - Total duration: 2m48s - Times executed: 1032 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2m48s - Times executed: 1032 ]
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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 = 515852059758978308 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: 2022-10-23 14:04:22 Duration: 29s369ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 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 = 529 AND sg.groupid = 515852059709228308 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: 2022-10-23 14:04:11 Duration: 19s794ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 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 = 529 AND sg.groupid = 515852059718346308 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: 2022-10-23 14:04:21 Duration: 16s992ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
10 2m23s 1 2m23s 2m23s 2m23s select pd.trumpetsymbolid::character varying as symbolid, ? as timegranularity, ? as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t15_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval ? and (? = ? or t.symbolid = ?) and (pt.enddate < current_timestamp - interval ? or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, ? as timegranularity, ? as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t30_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval ? and ((? = ?) or (? <> ? and t.symbolid = ?)) and (pt.enddate < current_timestamp - interval ? or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, ? as timegranularity, ? as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t60_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval ? and ((? = ?) or (? <> ? and t.symbolid = ?)) and (pt.enddate < current_timestamp - interval ? or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, ? as timegranularity, ? as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t240 group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval ? and ((? = ?) or (? <> ? and t.symbolid = ?)) and (pt.enddate < current_timestamp - interval ? or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, ? as timegranularity, ? as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t1440 group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval ? and ((? = ?) or (? <> ? and t.symbolid = ?)) and (pt.enddate < current_timestamp - interval ? or pt.enddate is null) group by pd.trumpetsymbolid;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Oct 23 14 1 2m23s 2m23s [ User: pgperfstats - Total duration: 2m23s - Times executed: 1 ]
[ Application: [unknown] - Total duration: 2m23s - Times executed: 1 ]
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select pd.trumpetsymbolid::character varying as symbolid, 15 as timegranularity, 't15_ps' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t15_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and (- 1 = - 1 or t.symbolid = - 1) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 30 as timegranularity, 't30_ps' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t30_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 60 as timegranularity, 't60_ps' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t60_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 240 as timegranularity, 't240' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t240 group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 1440 as timegranularity, 't1440' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t1440 group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid;
Date: 2022-10-23 14:20:19 Duration: 2m23s Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
11 2m22s 52 140ms 31s557ms 2s732ms (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?))) union all (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ?))) union all (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)));Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Oct 23 14 52 2m22s 2s732ms [ User: postgres - Total duration: 2m22s - Times executed: 52 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2m22s - Times executed: 52 ]
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-10-23 14:19:35 Duration: 31s557ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-10-23 14:03:37 Duration: 28s169ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-10-23 14:08:52 Duration: 14s851ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
12 2m11s 16 2s555ms 48s950ms 8s220ms 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 #12
Day Hour Count Duration Avg duration Oct 23 14 16 2m11s 8s220ms [ User: postgres - Total duration: 2m11s - Times executed: 16 ]
[ Application: psql - Total duration: 2m11s - 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: 2022-10-23 14:17:17 Duration: 48s950ms 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: 2022-10-23 14:19:14 Duration: 44s259ms 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: 2022-10-23 14:11:33 Duration: 3s106ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
13 1m41s 522 0ms 4s664ms 195ms 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 #13
Day Hour Count Duration Avg duration Oct 23 14 522 1m41s 195ms [ User: postgres - Total duration: 1m41s - Times executed: 522 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m41s - Times executed: 522 ]
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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 = 515852059702019308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-948066473' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-10-23 14:17:19 Duration: 4s664ms 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 = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-948066473' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-10-23 14:17:19 Duration: 4s647ms 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 = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-948066473' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-10-23 14:05:12 Duration: 4s535ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
14 1m36s 46 661ms 11s942ms 2s96ms 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 #14
Day Hour Count Duration Avg duration Oct 23 14 46 1m36s 2s96ms [ User: postgres - Total duration: 1m36s - Times executed: 46 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m36s - Times executed: 46 ]
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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 = '558' 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 ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('80' = 0 OR s.symbol in ('AUDSGD', 'CHFSGD', 'EURDKK', 'EURHKD', 'EURNOK', 'EURPLN', 'EURSEK', 'EURSGD', 'EURTRY', 'EURZAR', 'GBPDKK', 'GBPNOK', 'GBPSEK', 'GBPSGD', 'NOKJPY', 'NOKSEK', 'SEKJPY', 'SGDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDTHB', 'USDTRY', 'USDZAR', 'AUDUSD', 'EURUSD', 'GBPUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDSGD', 'AUS200', 'DE30', 'ES35', 'F40', 'HK50', 'IT40', 'JP225', 'STOXX50', 'UK100', 'US2000', 'US30', 'US500', 'CHINA50', 'USTEC', 'XAGEUR', 'XAGUSD', 'XAUUSD', 'XAUEUR', 'XPDUSD', 'XPTUSD')) 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 ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-10-23 14:19:53 Duration: 11s942ms 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 = '529' 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 ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('31' = 0 OR s.symbol in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'JPN225', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'XAGUSD', 'XAUUSD')) 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 ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-10-23 14:20:40 Duration: 10s701ms 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 = '125' 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 ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) 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 ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-10-23 14:15:40 Duration: 8s844ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
15 1m34s 16 1s561ms 19s988ms 5s927ms 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 = ?) sub where result_uid = sub.resultuid;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Oct 23 14 16 1m34s 5s927ms [ User: postgres - Total duration: 1m34s - Times executed: 16 ]
[ Application: psql - Total duration: 1m34s - Times executed: 16 ]
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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 = 'cp') sub WHERE result_uid = sub.resultuid;
Date: 2022-10-23 14:05:32 Duration: 19s988ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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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 = 'cp') sub WHERE result_uid = sub.resultuid;
Date: 2022-10-23 14:11:29 Duration: 16s421ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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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 = 'cp') sub WHERE result_uid = sub.resultuid;
Date: 2022-10-23 14:18:28 Duration: 15s731ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
16 1m32s 45 375ms 9s548ms 2s59ms with last_candle as ( select acs.symbolid as symbolid, acs.latestpricedatetime as latest_candle_time, bsl.brokerid as broker_id, coalesce(bim.code, s.symbol) as symbol, bim.code as symbol_mapping, s.exchange as exchange, s.timegranularity as timegranularity from autochartist_symbolupdates acs inner join brokersymbollist bsl on acs.symbolid = bsl.symbolid inner join symbols s on acs.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where bsl.brokerid = ? and s.deleted = ? and s.nonliquid = ? and acs.latestpricedatetime is not null ) select distinct on (brokerid, groupid, symbolid) * from ( select lc.broker_id as brokerid, prf.groupid, psp.symbolid, prf.longname, psd.hourlysymbolid, lc.symbol, lc.exchange, psp.enddate, psp.dayofweek, psp.fromtime, floor(psp.fromtime / ?) + ? as sast_hh, mod(cast(psp.fromtime as int), ?) as sast_mm, current_timestamp as datetime, (powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice as closingprice, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_15 + psp.stddev_15) / ?.?) as low_15, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_15 + psp.stddev_15) / ?.?) as high_15, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_30 + psp.stddev_30) / ?.?) as low_30, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_30 + psp.stddev_30) / ?.?) as high_30, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_60 + psp.stddev_60) / ?.?) as low_60, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_60 + psp.stddev_60) / ?.?) as high_60, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_240 + psp.stddev_240) / ?.?) as low_240, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_240 + psp.stddev_240) / ?.?) as high_240, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_1440 + psp.stddev_1440) / ?.?) as low_1440, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_1440 + psp.stddev_1440) / ?.?) as high_1440, dtt.absolutetimezoneoffset as datafeedtimezoneoffset, dtt.timezone as datafeedtimezonename, (round((cast(? as float) - rank) / ? * ?)) as rank_rounded, ((cast(? as float) - rank) / ? * ?) as rank from last_candle lc inner join downloadersymbolsettings dss on lc.symbolid = dss.symbolid inner join datafeedstimetable dtt on trim(dss.classname) = trim(dtt.classname) inner join powerstats_symboldata psd on psd.symbolid = lc.symbolid left outer join powerstats_trumpet psp on psd.trumpetsymbolid = psp.symbolid and psp.dayofweek = ? and dtt.dayofweek = psp.dayofweek and psp.fromtime = cast(extract(? from lc.latest_candle_time at time zone ?) as integer) * ? + extract(? from (cast(extract(? from lc.latest_candle_time) as integer) / ?) * ? * interval ?) inner join prfsymboltree prf on psp.symbolid = prf.symbolid inner join mat_ps_daily_symbolid_max_enddate e on psp.enddate = e.enddate and psd.dailysymbolid = e.symbolid left join lateral ( select ph.hour, (ave + stddev) as volatility, rank() over (order by (ave + stddev) desc) as rank from powerstats_hourly ph where ph.symbolid = psd.hourlysymbolid and ph.enddate = psp.enddate) rank_query on true where prf.brokerid = ? and rank_query.hour = floor((psp.fromtime) / ?) and volatility > ? order by rank desc, rank_rounded desc, exchange, symbol, groupid) sub;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Oct 23 14 45 1m32s 2s59ms [ User: postgres - Total duration: 1m32s - Times executed: 45 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m32s - Times executed: 45 ]
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WITH last_candle AS ( SELECT acs.symbolid AS symbolid, acs.latestpricedatetime AS latest_candle_time, bsl.brokerid AS broker_id, coalesce(bim.code, s.symbol) AS symbol, bim.code AS symbol_mapping, s.exchange AS exchange, s.timegranularity AS timegranularity FROM autochartist_symbolupdates acs INNER JOIN brokersymbollist bsl ON acs.symbolid = bsl.symbolid INNER JOIN symbols s ON acs.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '529' AND s.deleted = 0 AND s.nonliquid = 0 AND acs.latestpricedatetime IS NOT NULL ) SELECT DISTINCT ON (brokerid, groupid, symbolid) * FROM ( SELECT lc.broker_id AS brokerid, prf.groupid, psp.symbolid, prf.longname, psd.hourlysymbolid, lc.symbol, lc.exchange, psp.enddate, psp.dayofweek, psp.fromtime, floor(psp.fromtime / 60) + 6 as SAST_HH, mod(cast(psp.fromtime as int), 60) as SAST_MM, current_timestamp AS datetime, (PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice AS closingprice, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_15 + psp.stddev_15) / 2.0) AS low_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_15 + psp.stddev_15) / 2.0) AS high_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_30 + psp.stddev_30) / 2.0) AS low_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_30 + psp.stddev_30) / 2.0) AS high_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_60 + psp.stddev_60) / 2.0) AS low_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_60 + psp.stddev_60) / 2.0) AS high_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_240 + psp.stddev_240) / 2.0) AS low_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_240 + psp.stddev_240) / 2.0) AS high_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_1440 + psp.stddev_1440) / 2.0) AS low_1440, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_1440 + psp.stddev_1440) / 2.0) AS high_1440, dtt.absolutetimezoneoffset AS datafeedtimezoneoffset, dtt.timezone AS datafeedtimezonename, (round((cast(25 as float) - rank) / 24 * 10)) as rank_rounded, ((cast(25 as float) - rank) / 24 * 10) as rank FROM last_candle lc INNER JOIN downloadersymbolsettings dss ON lc.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON TRIM(dss.classname) = TRIM(dtt.classname) INNER JOIN powerstats_symboldata psd ON psd.symbolid = lc.symbolid LEFT OUTER JOIN powerstats_trumpet psp ON psd.trumpetsymbolid = psp.symbolid AND psp.dayofweek = 1 and dtt.dayofweek = psp.dayofweek AND psp.fromtime = cast(extract('hour' from lc.latest_candle_time at time zone 'UTC') as integer) * 60 + extract('minute' from (cast(extract('minute' from lc.latest_candle_time) as integer) / 15) * 15 * interval '1 minutes') INNER JOIN prfsymboltree prf ON psp.symbolid = prf.symbolid INNER JOIN mat_ps_daily_symbolid_max_enddate e ON psp.enddate = e.enddate AND psd.dailysymbolid = e.symbolid LEFT JOIN LATERAL ( SELECT ph.hour, (ave + stddev) AS volatility, rank() over (ORDER BY (ave + stddev) DESC) AS rank FROM powerstats_hourly ph WHERE ph.symbolid = psd.hourlysymbolid AND ph.enddate = psp.enddate) rank_query ON true WHERE prf.brokerid = '529' AND rank_query.hour = floor((psp.fromtime) / 60) AND volatility > 0 ORDER BY rank DESC, rank_rounded DESC, exchange, symbol, groupid) sub;
Date: 2022-10-23 14:04:11 Duration: 9s548ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH last_candle AS ( SELECT acs.symbolid AS symbolid, acs.latestpricedatetime AS latest_candle_time, bsl.brokerid AS broker_id, coalesce(bim.code, s.symbol) AS symbol, bim.code AS symbol_mapping, s.exchange AS exchange, s.timegranularity AS timegranularity FROM autochartist_symbolupdates acs INNER JOIN brokersymbollist bsl ON acs.symbolid = bsl.symbolid INNER JOIN symbols s ON acs.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '529' AND s.deleted = 0 AND s.nonliquid = 0 AND acs.latestpricedatetime IS NOT NULL ) SELECT DISTINCT ON (brokerid, groupid, symbolid) * FROM ( SELECT lc.broker_id AS brokerid, prf.groupid, psp.symbolid, prf.longname, psd.hourlysymbolid, lc.symbol, lc.exchange, psp.enddate, psp.dayofweek, psp.fromtime, floor(psp.fromtime / 60) + 6 as SAST_HH, mod(cast(psp.fromtime as int), 60) as SAST_MM, current_timestamp AS datetime, (PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice AS closingprice, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_15 + psp.stddev_15) / 2.0) AS low_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_15 + psp.stddev_15) / 2.0) AS high_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_30 + psp.stddev_30) / 2.0) AS low_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_30 + psp.stddev_30) / 2.0) AS high_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_60 + psp.stddev_60) / 2.0) AS low_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_60 + psp.stddev_60) / 2.0) AS high_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_240 + psp.stddev_240) / 2.0) AS low_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_240 + psp.stddev_240) / 2.0) AS high_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_1440 + psp.stddev_1440) / 2.0) AS low_1440, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_1440 + psp.stddev_1440) / 2.0) AS high_1440, dtt.absolutetimezoneoffset AS datafeedtimezoneoffset, dtt.timezone AS datafeedtimezonename, (round((cast(25 as float) - rank) / 24 * 10)) as rank_rounded, ((cast(25 as float) - rank) / 24 * 10) as rank FROM last_candle lc INNER JOIN downloadersymbolsettings dss ON lc.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON TRIM(dss.classname) = TRIM(dtt.classname) INNER JOIN powerstats_symboldata psd ON psd.symbolid = lc.symbolid LEFT OUTER JOIN powerstats_trumpet psp ON psd.trumpetsymbolid = psp.symbolid AND psp.dayofweek = 1 and dtt.dayofweek = psp.dayofweek AND psp.fromtime = cast(extract('hour' from lc.latest_candle_time at time zone 'UTC') as integer) * 60 + extract('minute' from (cast(extract('minute' from lc.latest_candle_time) as integer) / 15) * 15 * interval '1 minutes') INNER JOIN prfsymboltree prf ON psp.symbolid = prf.symbolid INNER JOIN mat_ps_daily_symbolid_max_enddate e ON psp.enddate = e.enddate AND psd.dailysymbolid = e.symbolid LEFT JOIN LATERAL ( SELECT ph.hour, (ave + stddev) AS volatility, rank() over (ORDER BY (ave + stddev) DESC) AS rank FROM powerstats_hourly ph WHERE ph.symbolid = psd.hourlysymbolid AND ph.enddate = psp.enddate) rank_query ON true WHERE prf.brokerid = '529' AND rank_query.hour = floor((psp.fromtime) / 60) AND volatility > 0 ORDER BY rank DESC, rank_rounded DESC, exchange, symbol, groupid) sub;
Date: 2022-10-23 14:08:10 Duration: 8s878ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH last_candle AS ( SELECT acs.symbolid AS symbolid, acs.latestpricedatetime AS latest_candle_time, bsl.brokerid AS broker_id, coalesce(bim.code, s.symbol) AS symbol, bim.code AS symbol_mapping, s.exchange AS exchange, s.timegranularity AS timegranularity FROM autochartist_symbolupdates acs INNER JOIN brokersymbollist bsl ON acs.symbolid = bsl.symbolid INNER JOIN symbols s ON acs.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '529' AND s.deleted = 0 AND s.nonliquid = 0 AND acs.latestpricedatetime IS NOT NULL ) SELECT DISTINCT ON (brokerid, groupid, symbolid) * FROM ( SELECT lc.broker_id AS brokerid, prf.groupid, psp.symbolid, prf.longname, psd.hourlysymbolid, lc.symbol, lc.exchange, psp.enddate, psp.dayofweek, psp.fromtime, floor(psp.fromtime / 60) + 6 as SAST_HH, mod(cast(psp.fromtime as int), 60) as SAST_MM, current_timestamp AS datetime, (PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice AS closingprice, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_15 + psp.stddev_15) / 2.0) AS low_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_15 + psp.stddev_15) / 2.0) AS high_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_30 + psp.stddev_30) / 2.0) AS low_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_30 + psp.stddev_30) / 2.0) AS high_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_60 + psp.stddev_60) / 2.0) AS low_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_60 + psp.stddev_60) / 2.0) AS high_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_240 + psp.stddev_240) / 2.0) AS low_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_240 + psp.stddev_240) / 2.0) AS high_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_1440 + psp.stddev_1440) / 2.0) AS low_1440, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_1440 + psp.stddev_1440) / 2.0) AS high_1440, dtt.absolutetimezoneoffset AS datafeedtimezoneoffset, dtt.timezone AS datafeedtimezonename, (round((cast(25 as float) - rank) / 24 * 10)) as rank_rounded, ((cast(25 as float) - rank) / 24 * 10) as rank FROM last_candle lc INNER JOIN downloadersymbolsettings dss ON lc.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON TRIM(dss.classname) = TRIM(dtt.classname) INNER JOIN powerstats_symboldata psd ON psd.symbolid = lc.symbolid LEFT OUTER JOIN powerstats_trumpet psp ON psd.trumpetsymbolid = psp.symbolid AND psp.dayofweek = 1 and dtt.dayofweek = psp.dayofweek AND psp.fromtime = cast(extract('hour' from lc.latest_candle_time at time zone 'UTC') as integer) * 60 + extract('minute' from (cast(extract('minute' from lc.latest_candle_time) as integer) / 15) * 15 * interval '1 minutes') INNER JOIN prfsymboltree prf ON psp.symbolid = prf.symbolid INNER JOIN mat_ps_daily_symbolid_max_enddate e ON psp.enddate = e.enddate AND psd.dailysymbolid = e.symbolid LEFT JOIN LATERAL ( SELECT ph.hour, (ave + stddev) AS volatility, rank() over (ORDER BY (ave + stddev) DESC) AS rank FROM powerstats_hourly ph WHERE ph.symbolid = psd.hourlysymbolid AND ph.enddate = psp.enddate) rank_query ON true WHERE prf.brokerid = '529' AND rank_query.hour = floor((psp.fromtime) / 60) AND volatility > 0 ORDER BY rank DESC, rank_rounded DESC, exchange, symbol, groupid) sub;
Date: 2022-10-23 14:12:08 Duration: 6s733ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
17 1m26s 1,026 0ms 20s565ms 84ms 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 #17
Day Hour Count Duration Avg duration Oct 23 14 1,026 1m26s 84ms [ User: postgres - Total duration: 1m26s - Times executed: 1026 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m26s - Times executed: 1026 ]
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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 = 515852059758978308 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: 2022-10-23 14:04:22 Duration: 20s565ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 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 = 529 AND sg.groupid = 515852059718346308 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: 2022-10-23 14:04:22 Duration: 18s871ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
-
/*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 = 515852059704165308 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: 2022-10-23 14:04:04 Duration: 13s198ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
18 1m15s 4 7s392ms 34s221ms 18s924ms select updateresultsmaterializedview ();Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Oct 23 14 4 1m15s 18s924ms [ User: postgres - Total duration: 1m15s - Times executed: 4 ]
[ Application: psql - Total duration: 1m15s - Times executed: 4 ]
-
select updateresultsmaterializedview ();
Date: 2022-10-23 14:04:12 Duration: 34s221ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
-
select updateresultsmaterializedview ();
Date: 2022-10-23 14:19:56 Duration: 26s77ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
-
select updateresultsmaterializedview ();
Date: 2022-10-23 14:32:37 Duration: 8s8ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
19 1m8s 388 0ms 10s317ms 176ms select open as _open, high as _high, low as _low, close "..." _close, volume as _volume, pricedatetime as _pricedatetime from ( select open, high, low, close, volume, pricedatetime from t15 where pricedatetime >= current_timestamp - interval ? and symbolid = ? union all select open, high, low, close, volume, pricedatetime from t15_ps where pricedatetime >= current_timestamp - interval ? and symbolid = ? order by pricedatetime desc limit ?) a order by _pricedatetime asc;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Oct 23 14 388 1m8s 176ms [ User: postgres - Total duration: 1m8s - Times executed: 388 ]
[ Application: [unknown] - Total duration: 1m8s - Times executed: 388 ]
-
select open as _open, high as _high, low as _low, close as _close, volume as _volume, pricedatetime as _pricedatetime FROM ( select open, high, low, close, volume, pricedatetime FROM T15 WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840221186843300 union all select open, high, low, close, volume, pricedatetime FROM T15_ps WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840221186843300 order by pricedatetime desc limit 672) a order by _pricedatetime asc;
Date: 2022-10-23 14:11:39 Duration: 10s317ms Database: acaweb_fx User: postgres Remote: 192.168.2.82 Application: [unknown]
-
select open as _open, high as _high, low as _low, close as _close, volume as _volume, pricedatetime as _pricedatetime FROM ( select open, high, low, close, volume, pricedatetime FROM T15 WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840216709326300 union all select open, high, low, close, volume, pricedatetime FROM T15_ps WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840216709326300 order by pricedatetime desc limit 672) a order by _pricedatetime asc;
Date: 2022-10-23 14:13:05 Duration: 8s401ms Database: acaweb_fx User: postgres Remote: 192.168.2.82 Application: [unknown]
-
select open as _open, high as _high, low as _low, close as _close, volume as _volume, pricedatetime as _pricedatetime FROM ( select open, high, low, close, volume, pricedatetime FROM T15 WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840249510241300 union all select open, high, low, close, volume, pricedatetime FROM T15_ps WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840249510241300 order by pricedatetime desc limit 672) a order by _pricedatetime asc;
Date: 2022-10-23 14:11:26 Duration: 6s532ms Database: acaweb_fx User: postgres Remote: 192.168.2.82 Application: [unknown]
20 1m6s 275 3ms 4s85ms 243ms select * from ( select pricedatetime, open, high, low, close, volume, bsf from t15 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Oct 23 14 275 1m6s 243ms [ User: postgres - Total duration: 1m6s - Times executed: 275 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m6s - Times executed: 275 ]
-
SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '515840243870885300' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-10-23 14:08:25 Duration: 4s85ms Database: acaweb_fx User: postgres Remote: 192.168.0.42 Application: PostgreSQL JDBC Driver Bind query: yes
-
SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '515840248268047300' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-10-23 14:04:35 Duration: 2s533ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
-
SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '515840243185493300' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-10-23 14:08:32 Duration: 2s306ms 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 19,694 105ms 0ms 1ms 0ms select ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Oct 23 14 19,694 105ms 0ms [ User: postgres - Total duration: 105ms - Times executed: 19694 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 93ms - Times executed: 19385 ]
[ Application: [unknown] - Total duration: 12ms - Times executed: 309 ]
-
select 1;
Date: 2022-10-23 14:21:30 Duration: 1ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
-
SELECT 1;
Date: 2022-10-23 14:57:04 Duration: 0ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
-
SELECT 1;
Date: 2022-10-23 14:58:45 Duration: 0ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
2 6,962 12s260ms 0ms 117ms 1ms 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 #2
Day Hour Count Duration Avg duration Oct 23 14 6,962 12s260ms 1ms [ User: postgres - Total duration: 12s260ms - Times executed: 6962 ]
[ Application: [unknown] - Total duration: 12s260ms - Times executed: 6962 ]
-
INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2022-10-03 11:30:00', '21.255', '21.255', '21.25', '21.255', '41', '600711271204546300', '0', '2022-10-23 14:12:50.972', '2022-10-23 14:12:50.921') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '21.255', high = '21.255', low = '21.25', close = '21.255', volume = '41', bsf = '0', sastdatetimewritten = '2022-10-23 14:12:50.972', sastdatetimereceived = '2022-10-23 14:12:50.921';
Date: 2022-10-23 14:12:51 Duration: 117ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
-
INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2022-10-03 11:30:00', '79.18', '79.47', '79.095', '79.47', '97', '600711271867244300', '0', '2022-10-23 14:17:17.956', '2022-10-23 14:17:17.854') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '79.18', high = '79.47', low = '79.095', close = '79.47', volume = '97', bsf = '0', sastdatetimewritten = '2022-10-23 14:17:17.956', sastdatetimereceived = '2022-10-23 14:17:17.854';
Date: 2022-10-23 14:17:18 Duration: 67ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
-
INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2022-10-23 14:45:00', '19147.53', '19155.78', '19143.78', '19155.53', '510', '515840243185493300', '0', '2022-10-23 14:05:18.289', '2022-10-23 14:05:18.21') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '19147.53', high = '19155.78', low = '19143.78', close = '19155.53', volume = '510', bsf = '0', sastdatetimewritten = '2022-10-23 14:05:18.289', sastdatetimereceived = '2022-10-23 14:05:18.21';
Date: 2022-10-23 14:05:18 Duration: 51ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
3 3,618 32ms 0ms 0ms 0ms set extra_float_digits = ?;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Oct 23 14 3,618 32ms 0ms [ User: postgres - Total duration: 32ms - Times executed: 3618 ]
[ Application: [unknown] - Total duration: 32ms - Times executed: 3618 ]
-
SET extra_float_digits = 3;
Date: 2022-10-23 14:40:31 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.0.42 Application: [unknown] Bind query: yes
-
SET extra_float_digits = 3;
Date: 2022-10-23 14:04:59 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: [unknown] Bind query: yes
-
SET extra_float_digits = 3;
Date: 2022-10-23 14:31:20 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: [unknown] Bind query: yes
4 3,595 50ms 0ms 4ms 0ms set application_name = ?;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Oct 23 14 3,595 50ms 0ms [ User: postgres - Total duration: 50ms - Times executed: 3595 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 50ms - Times executed: 3595 ]
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2022-10-23 14:24:05 Duration: 4ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2022-10-23 14:11:14 Duration: 1ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2022-10-23 14:47:19 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
5 2,974 2s328ms 0ms 123ms 0ms select t.pricedatetime, t.open, t.high, t.low, t.close, t.volume, t.symbolid, dss.downloadersymbol as symbol, 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 #5
Day Hour Count Duration Avg duration Oct 23 14 2,974 2s328ms 0ms [ User: postgres - Total duration: 2s328ms - Times executed: 2974 ]
[ Application: [unknown] - Total duration: 2s328ms - Times executed: 2974 ]
-
SELECT t.pricedatetime, t.open, t.high, t.low, t.close, t.volume, t.symbolid, dss.downloadersymbol AS symbol, t.bsf, t.sastdatetimewritten, t.sastdatetimereceived FROM T15 t INNER JOIN downloadersymbolsettings dss ON t.symbolid = dss.symbolid WHERE dss.classname = 'GLOBALGTMT5' AND dss.downloadersymbol IN ('EURUSD') AND dss.downloadfrequency = '15' AND t.pricedatetime BETWEEN '2022-10-21 00:00:00'::timestamp AND '2022-10-21 23:45:00'::timestamp ORDER BY t.pricedatetime;
Date: 2022-10-23 14:18:24 Duration: 123ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
-
SELECT t.pricedatetime, t.open, t.high, t.low, t.close, t.volume, t.symbolid, dss.downloadersymbol AS symbol, t.bsf, t.sastdatetimewritten, t.sastdatetimereceived FROM T15 t INNER JOIN downloadersymbolsettings dss ON t.symbolid = dss.symbolid WHERE dss.classname = 'GLOBALGTMT5' AND dss.downloadersymbol IN ('USDZAR') AND dss.downloadfrequency = '15' AND t.pricedatetime BETWEEN '2022-10-21 00:00:00'::timestamp AND '2022-10-21 23:45:00'::timestamp ORDER BY t.pricedatetime;
Date: 2022-10-23 14:18:25 Duration: 111ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
-
SELECT t.pricedatetime, t.open, t.high, t.low, t.close, t.volume, t.symbolid, dss.downloadersymbol AS symbol, 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 ('AUDCAD') AND dss.downloadfrequency = '15' AND t.pricedatetime BETWEEN '2022-10-21 00:00:00'::timestamp AND '2022-10-21 23:45:00'::timestamp ORDER BY t.pricedatetime;
Date: 2022-10-23 14:05:50 Duration: 74ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
6 2,889 718ms 0ms 144ms 0ms select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Oct 23 14 2,889 718ms 0ms [ User: postgres - Total duration: 718ms - Times executed: 2889 ]
[ Application: [unknown] - Total duration: 718ms - Times executed: 2889 ]
-
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GKINVESTMT5 - 1';
Date: 2022-10-23 14:02:02 Duration: 144ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
-
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 2';
Date: 2022-10-23 14:38:27 Duration: 1ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
-
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'VALBURYFUTURES - 1';
Date: 2022-10-23 14:32:17 Duration: 0ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
7 2,770 27s964ms 0ms 2s172ms 10ms select * from ( select distinct case when f.pricedatetime is not null then f.pricedatetime else t.pricedatetime end as pricedatetime, case when f.high is not null then f.high else t.high end as high, case when f.low is not null then f.low else t.low end as low from t60_ps t left outer join t60_fps f on t.symbolid = f.symbolid and t.pricedatetime = f.pricedatetime where t.pricedatetime >= current_timestamp - interval ? and t.symbolid = ?) a order by (high - low) limit ?;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Oct 23 14 2,770 27s964ms 10ms [ User: pgperfstats - Total duration: 27s964ms - Times executed: 2770 ]
[ Application: [unknown] - Total duration: 27s964ms - Times executed: 2770 ]
-
select * from ( select distinct case when f.pricedatetime is not null then f.pricedatetime else t.pricedatetime end as pricedatetime, case when f.high is not null then f.high else t.high end as high, case when f.low is not null then f.low else t.low end as low FROM t60_ps t LEFT OUTER JOIN t60_fps f ON t.symbolid = f.symbolid and t.pricedatetime = f.pricedatetime WHERE t.pricedatetime >= current_timestamp - interval '6 months' and t.symbolid = 515840216493360300) a order by (high - low) LIMIT 3118;
Date: 2022-10-23 14:16:25 Duration: 2s172ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
-
select * from ( select distinct case when f.pricedatetime is not null then f.pricedatetime else t.pricedatetime end as pricedatetime, case when f.high is not null then f.high else t.high end as high, case when f.low is not null then f.low else t.low end as low FROM t60_ps t LEFT OUTER JOIN t60_fps f ON t.symbolid = f.symbolid and t.pricedatetime = f.pricedatetime WHERE t.pricedatetime >= current_timestamp - interval '6 months' and t.symbolid = 515840216740595300) a order by (high - low) LIMIT 3118;
Date: 2022-10-23 14:16:28 Duration: 366ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
-
select * from ( select distinct case when f.pricedatetime is not null then f.pricedatetime else t.pricedatetime end as pricedatetime, case when f.high is not null then f.high else t.high end as high, case when f.low is not null then f.low else t.low end as low FROM t60_ps t LEFT OUTER JOIN t60_fps f ON t.symbolid = f.symbolid and t.pricedatetime = f.pricedatetime WHERE t.pricedatetime >= current_timestamp - interval '6 months' and t.symbolid = 515840218719282300) a order by (high - low) LIMIT 3040;
Date: 2022-10-23 14:16:43 Duration: 316ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
8 2,770 4s461ms 0ms 33ms 1ms select case when count(*) > ? then count(*) else ? end from t60_ps where pricedatetime >= current_timestamp - interval ? and symbolid = ?;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Oct 23 14 2,770 4s461ms 1ms [ User: pgperfstats - Total duration: 4s461ms - Times executed: 2770 ]
[ Application: [unknown] - Total duration: 4s461ms - Times executed: 2770 ]
-
select case when count(*) > 2 then count(*) else 3 end from t60_ps WHERE pricedatetime >= current_timestamp - interval '6 months' and symbolid = 515840248225899300;
Date: 2022-10-23 14:17:43 Duration: 33ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
-
select case when count(*) > 2 then count(*) else 3 end from t60_ps WHERE pricedatetime >= current_timestamp - interval '6 months' and symbolid = 515840248622352300;
Date: 2022-10-23 14:17:44 Duration: 29ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
-
select case when count(*) > 2 then count(*) else 3 end from t60_ps WHERE pricedatetime >= current_timestamp - interval '6 months' and symbolid = 515840249408185300;
Date: 2022-10-23 14:17:46 Duration: 26ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
9 2,577 1s616ms 0ms 10ms 0ms select * from ( select distinct case when f.pricedatetime is not null then f.pricedatetime else t.pricedatetime end as pricedatetime, case when f.high is not null then f.high else t.high end as high, case when f.low is not null then f.low else t.low end as low from t1440 t left outer join t1440_fps f on t.symbolid = f.symbolid and t.pricedatetime = f.pricedatetime where t.pricedatetime >= current_timestamp - interval ? and t.symbolid = ?) a order by (high - low) limit ?;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Oct 23 14 2,577 1s616ms 0ms [ User: pgperfstats - Total duration: 1s616ms - Times executed: 2577 ]
[ Application: [unknown] - Total duration: 1s616ms - Times executed: 2577 ]
-
select * from ( select distinct case when f.pricedatetime is not null then f.pricedatetime else t.pricedatetime end as pricedatetime, case when f.high is not null then f.high else t.high end as high, case when f.low is not null then f.low else t.low end as low FROM t1440 t LEFT OUTER JOIN t1440_fps f on t.symbolid = f.symbolid and t.pricedatetime = f.pricedatetime WHERE t.pricedatetime >= current_timestamp - interval '6 months' and t.symbolid = 515840216498316300) a order by (high - low) LIMIT 128;
Date: 2022-10-23 14:15:29 Duration: 10ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
-
select * from ( select distinct case when f.pricedatetime is not null then f.pricedatetime else t.pricedatetime end as pricedatetime, case when f.high is not null then f.high else t.high end as high, case when f.low is not null then f.low else t.low end as low FROM t1440 t LEFT OUTER JOIN t1440_fps f on t.symbolid = f.symbolid and t.pricedatetime = f.pricedatetime WHERE t.pricedatetime >= current_timestamp - interval '6 months' and t.symbolid = 515840230310021300) a order by (high - low) LIMIT 128;
Date: 2022-10-23 14:15:32 Duration: 9ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
-
select * from ( select distinct case when f.pricedatetime is not null then f.pricedatetime else t.pricedatetime end as pricedatetime, case when f.high is not null then f.high else t.high end as high, case when f.low is not null then f.low else t.low end as low FROM t1440 t LEFT OUTER JOIN t1440_fps f on t.symbolid = f.symbolid and t.pricedatetime = f.pricedatetime WHERE t.pricedatetime >= current_timestamp - interval '6 months' and t.symbolid = 515840216590156300) a order by (high - low) LIMIT 124;
Date: 2022-10-23 14:15:29 Duration: 9ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
10 2,577 539ms 0ms 0ms 0ms select case when count(*) > ? then count(*) else ? end from t1440 where pricedatetime >= current_timestamp - interval ? and symbolid = ?;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Oct 23 14 2,577 539ms 0ms [ User: pgperfstats - Total duration: 539ms - Times executed: 2577 ]
[ Application: [unknown] - Total duration: 539ms - Times executed: 2577 ]
-
select case when count(*) > 2 then count(*) else 3 end from t1440 WHERE pricedatetime >= current_timestamp - interval '6 months' and symbolid = 500991627550803200;
Date: 2022-10-23 14:15:28 Duration: 0ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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select case when count(*) > 2 then count(*) else 3 end from t1440 WHERE pricedatetime >= current_timestamp - interval '6 months' and symbolid = 500991627551975200;
Date: 2022-10-23 14:15:28 Duration: 0ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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select case when count(*) > 2 then count(*) else 3 end from t1440 WHERE pricedatetime >= current_timestamp - interval '6 months' and symbolid = 515840218722977300;
Date: 2022-10-23 14:15:31 Duration: 0ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
11 2,372 4s90ms 0ms 11ms 1ms insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?);Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Oct 23 14 2,372 4s90ms 1ms [ User: pgperfstats - Total duration: 4s90ms - Times executed: 2372 ]
[ Application: [unknown] - Total duration: 4s90ms - Times executed: 2372 ]
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insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (500991627550803200, 2, '2022-10-23 00:00:00', 0.00794615384615386, 0.00252336295752011); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (500991627550803200, 3, '2022-10-23 00:00:00', 0.0074564, 0.00291016448561475); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (500991627550803200, 1, '2022-10-23 00:00:00', 0.00717807692307693, 0.00262899527459563); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (500991627550803200, 5, '2022-10-23 00:00:00', 0.007822, 0.00250638850406981); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (500991627550803200, 4, '2022-10-23 00:00:00', 0.00781079999999999, 0.00225919587464211);
Date: 2022-10-23 14:15:28 Duration: 11ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (515840230431581300, 3, '2022-10-23 00:00:00', 0.00618160000000002, 0.00258071320891467); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (515840230431581300, 4, '2022-10-23 00:00:00', 0.00558719999999999, 0.0018556232555847); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (515840230431581300, 1, '2022-10-23 00:00:00', 0.00617538461538464, 0.00278812658359582); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (515840230431581300, 2, '2022-10-23 00:00:00', 0.00689769230769229, 0.00278102615261678); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (515840230431581300, 5, '2022-10-23 00:00:00', 0.00582769230769229, 0.00208676650862965);
Date: 2022-10-23 14:15:33 Duration: 8ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (515840233451209300, 4, '2022-10-23 00:00:00', 0.00605479999999998, 0.00180962730969669); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (515840233451209300, 3, '2022-10-23 00:00:00', 0.00698499999999999, 0.00280819408161189); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (515840233451209300, 5, '2022-10-23 00:00:00', 0.00645730769230768, 0.00235290893609136); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (515840233451209300, 1, '2022-10-23 00:00:00', 0.00616359999999998, 0.00230431095991841); insert into powerstats_daily (symbolid, day, enddate, ave, stddev) values (515840233451209300, 2, '2022-10-23 00:00:00', 0.00716730769230768, 0.00271755560413003);
Date: 2022-10-23 14:15:35 Duration: 8ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
12 2,030 9m53s 0ms 18s59ms 292ms 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 #12
Day Hour Count Duration Avg duration Oct 23 14 2,030 9m53s 292ms [ User: postgres - Total duration: 9m53s - Times executed: 2030 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 9m53s - Times executed: 2030 ]
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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 = 566 AND sg.groupid = 515852059923228308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '689993823' 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: 2022-10-23 14:17:20 Duration: 18s59ms 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 = 566 AND sg.groupid = 515852059923228308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '689993823' 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: 2022-10-23 14:04:47 Duration: 14s235ms 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 = 566 AND sg.groupid = 515852059765687308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-1395780025' 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: 2022-10-23 14:04:45 Duration: 13s293ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
13 1,617 1s457ms 0ms 87ms 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 #13
Day Hour Count Duration Avg duration Oct 23 14 1,617 1s457ms 0ms [ User: postgres - Total duration: 1s457ms - Times executed: 1617 ]
[ Application: [unknown] - Total duration: 1s457ms - Times executed: 1617 ]
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INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2022-10-18 10:30:00', '0.293345', '0.293345', '0.28835', '0.28835', '8', '600711272166734300', '0', '2022-10-23 14:19:24.703', '2022-10-23 14:19:24.552') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '0.293345', high = '0.293345', low = '0.28835', close = '0.28835', volume = '8', bsf = '0', sastdatetimewritten = '2022-10-23 14:19:24.703', sastdatetimereceived = '2022-10-23 14:19:24.552';
Date: 2022-10-23 14:19:24 Duration: 87ms 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 ('2022-09-16 11:00:00', '2.7', '2.7', '2.7', '2.7', '4', '600530195446616300', '0', '2022-10-23 14:05:47.875', '2022-10-23 14:05:47.865') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '2.7', high = '2.7', low = '2.7', close = '2.7', volume = '4', bsf = '0', sastdatetimewritten = '2022-10-23 14:05:47.875', sastdatetimereceived = '2022-10-23 14:05:47.865';
Date: 2022-10-23 14:05:47 Duration: 31ms 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 ('2022-10-06 09:00:00', '0', '0.33155', '0', '0.33155', '10', '600711272166734300', '0', '2022-10-23 14:19:24.702', '2022-10-23 14:19:24.48') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '0', high = '0.33155', low = '0', close = '0.33155', volume = '10', bsf = '0', sastdatetimewritten = '2022-10-23 14:19:24.702', sastdatetimereceived = '2022-10-23 14:19:24.48';
Date: 2022-10-23 14:19:24 Duration: 26ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
14 1,478 27s898ms 3ms 592ms 18ms 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 #14
Day Hour Count Duration Avg duration Oct 23 14 1,478 27s898ms 18ms [ User: postgres - Total duration: 27s898ms - Times executed: 1478 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 27s518ms - Times executed: 1451 ]
[ Application: [unknown] - Total duration: 380ms - Times executed: 27 ]
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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: 2022-10-23 14:03:58 Duration: 592ms 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: 2022-10-23 14:03:58 Duration: 578ms 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: 2022-10-23 14:22:02 Duration: 566ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
15 1,203 90ms 0ms 1ms 0ms select attnotnull from pg_attribute where attrelid = ? and attnum = ?;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Oct 23 14 1,203 90ms 0ms [ User: pgperfstats - Total duration: 90ms - Times executed: 1203 ]
[ Application: [unknown] - Total duration: 90ms - Times executed: 1203 ]
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select attnotnull from pg_attribute where attrelid = 5883632 and attnum = '1';
Date: 2022-10-23 14:20:21 Duration: 1ms 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: 2022-10-23 14:48:19 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: 2022-10-23 14:33:20 Duration: 0ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
16 1,165 1s604ms 0ms 9ms 1ms select coalesce(bim.code, s.symbol) as name, s.exchange as exchange, s.timegranularity as interval, df.timezone as timezone from symbols s left join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = s.symbolid inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable df on df.classname ilike dss.classname left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = ? and bim.type = ? where s.symbolid = ? group by ?, ?, ?, ?;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Oct 23 14 1,165 1s604ms 1ms [ User: postgres - Total duration: 1s604ms - Times executed: 1165 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s604ms - Times executed: 1165 ]
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SELECT coalesce(bim.code, s.symbol) as name, s.exchange as exchange, s.timegranularity as interval, df.timezone as timezone FROM symbols s LEFT JOIN brokersymbollist bsl ON bsl.brokerid = '529' AND bsl.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable df ON df.classname ILIKE dss.classname LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = '529' AND bim.TYPE = 'OUTBOUND' WHERE s.symbolid = '515840216968357300' GROUP BY 1, 2, 3, 4;
Date: 2022-10-23 14:03:53 Duration: 9ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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SELECT coalesce(bim.code, s.symbol) as name, s.exchange as exchange, s.timegranularity as interval, df.timezone as timezone FROM symbols s LEFT JOIN brokersymbollist bsl ON bsl.brokerid = '529' AND bsl.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable df ON df.classname ILIKE dss.classname LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = '529' AND bim.TYPE = 'OUTBOUND' WHERE s.symbolid = '515840217487435300' GROUP BY 1, 2, 3, 4;
Date: 2022-10-23 14:51:43 Duration: 4ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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SELECT coalesce(bim.code, s.symbol) as name, s.exchange as exchange, s.timegranularity as interval, df.timezone as timezone FROM symbols s LEFT JOIN brokersymbollist bsl ON bsl.brokerid = '529' AND bsl.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable df ON df.classname ILIKE dss.classname LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = '529' AND bim.TYPE = 'OUTBOUND' WHERE s.symbolid = '515840217503057300' GROUP BY 1, 2, 3, 4;
Date: 2022-10-23 14:10:00 Duration: 4ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
17 1,107 811ms 0ms 101ms 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 #17
Day Hour Count Duration Avg duration Oct 23 14 1,107 811ms 0ms [ User: postgres - Total duration: 811ms - Times executed: 1107 ]
[ Application: [unknown] - Total duration: 811ms - Times executed: 1107 ]
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INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ('2022-10-18 10:00:00', '0.293345', '0.293345', '0.28835', '0.28835', '8', '600711272167260300', '0', '2022-10-23 14:19:24.565', '2022-10-23 14:19:24.565') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '0.293345', high = '0.293345', low = '0.28835', close = '0.28835', volume = '8', bsf = '0', sastdatetimewritten = '2022-10-23 14:19:24.565', sastdatetimereceived = '2022-10-23 14:19:24.565';
Date: 2022-10-23 14:19:24 Duration: 101ms 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 ('2022-10-23 14:00:00', '19165.28', '19165.28', '19120.53', '19155.53', '3865', '515840243186107300', '0', '2022-10-23 14:05:18.409', '2022-10-23 14:05:18.409') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '19165.28', high = '19165.28', low = '19120.53', close = '19155.53', volume = '3865', bsf = '0', sastdatetimewritten = '2022-10-23 14:05:18.409', sastdatetimereceived = '2022-10-23 14:05:18.409';
Date: 2022-10-23 14:05:18 Duration: 54ms 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 ('2022-09-16 22:00:00', '19.94', '19.965', '19.94', '19.945', '52', '600530195836960300', '0', '2022-10-23 14:08:41.153', '2022-10-23 14:08:40.781') ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = '19.94', high = '19.965', low = '19.94', close = '19.945', volume = '52', bsf = '0', sastdatetimewritten = '2022-10-23 14:08:41.153', sastdatetimereceived = '2022-10-23 14:08:40.781';
Date: 2022-10-23 14:08:41 Duration: 21ms Database: acaweb_fx User: postgres Remote: 192.168.4.142 Application: [unknown] Bind query: yes
18 1,085 4s980ms 1ms 47ms 4ms insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (?, ?, ?, ?.?, ?.?);Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Oct 23 14 1,085 4s980ms 4ms [ User: pgperfstats - Total duration: 4s980ms - Times executed: 1085 ]
[ Application: [unknown] - Total duration: 4s980ms - Times executed: 1085 ]
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insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 0, '2022-10-23 00:00:00', 0.000676230769230765, 0.000406784070074116); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 1, '2022-10-23 00:00:00', 0.000979230769230778, 0.000601336515810801); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 2, '2022-10-23 00:00:00', 0.000928615384615383, 0.000465277701267074); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 23, '2022-10-23 00:00:00', 0.000830000000000005, 0.000430337415596332); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 21, '2022-10-23 00:00:00', 0.00189015384615384, 0.00167815004485507); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 20, '2022-10-23 00:00:00', 0.00177523076923075, 0.000759212377865928); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 7, '2022-10-23 00:00:00', 0.00115269230769231, 0.000585832460720117); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 22, '2022-10-23 00:00:00', 0.00144130769230769, 0.000873471545186479); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 6, '2022-10-23 00:00:00', 0.00109723076923077, 0.000486032849536811); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 5, '2022-10-23 00:00:00', 0.00128407692307692, 0.000469173272819799); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 4, '2022-10-23 00:00:00', 0.0015696153846154, 0.000885023018004129); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 19, '2022-10-23 00:00:00', 0.00201553846153845, 0.000919071035490019); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 8, '2022-10-23 00:00:00', 0.00141653846153846, 0.000737598987222117); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 3, '2022-10-23 00:00:00', 0.00166922480620156, 0.000599087342864003); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 18, '2022-10-23 00:00:00', 0.00261784615384615, 0.0012574996630236); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 9, '2022-10-23 00:00:00', 0.00235030769230769, 0.00106340169287315); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 14, '2022-10-23 00:00:00', 0.00240738461538463, 0.000902913933802384); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 12, '2022-10-23 00:00:00', 0.0023603076923077, 0.00103024866303834); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 13, '2022-10-23 00:00:00', 0.00232223076923076, 0.0010593154622955); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 11, '2022-10-23 00:00:00', 0.00257353846153846, 0.00106678380767037); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 10, '2022-10-23 00:00:00', 0.00313407692307692, 0.0015493482981808); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 16, '2022-10-23 00:00:00', 0.00324276923076924, 0.00156816933480151); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 15, '2022-10-23 00:00:00', 0.00324031007751938, 0.00188534352721216); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230404720300, 17, '2022-10-23 00:00:00', 0.0035993846153846, 0.00142534845670009);
Date: 2022-10-23 14:16:53 Duration: 47ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 21, '2022-10-23 00:00:00', 0.216838461538461, 0.129676927346336); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 20, '2022-10-23 00:00:00', 0.205969230769232, 0.118638068485529); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 0, '2022-10-23 00:00:00', 0.123384615384616, 0.0533543637725338); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 22, '2022-10-23 00:00:00', 0.192692307692307, 0.122080913957803); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 23, '2022-10-23 00:00:00', 0.116384615384615, 0.0534207166265965); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 1, '2022-10-23 00:00:00', 0.172661538461539, 0.0810512856921073); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 2, '2022-10-23 00:00:00', 0.1895, 0.0837657540429715); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 18, '2022-10-23 00:00:00', 0.278496124031008, 0.12651334687686); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 19, '2022-10-23 00:00:00', 0.241807692307693, 0.127125836221216); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 6, '2022-10-23 00:00:00', 0.238646153846154, 0.13927958951282); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 17, '2022-10-23 00:00:00', 0.393915384615385, 0.187713167078956); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 13, '2022-10-23 00:00:00', 0.227961538461538, 0.104634572957889); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 7, '2022-10-23 00:00:00', 0.226823076923077, 0.139059156748956); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 12, '2022-10-23 00:00:00', 0.237176923076923, 0.112230898851992); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 15, '2022-10-23 00:00:00', 0.301353846153846, 0.168718051195022); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 16, '2022-10-23 00:00:00', 0.328930769230769, 0.162020727378256); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 14, '2022-10-23 00:00:00', 0.23443076923077, 0.114238763867377); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 3, '2022-10-23 00:00:00', 0.304153846153846, 0.123962638878839); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 9, '2022-10-23 00:00:00', 0.271692307692307, 0.120059084043232); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 8, '2022-10-23 00:00:00', 0.239653846153846, 0.105657462602966); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 4, '2022-10-23 00:00:00', 0.320238461538462, 0.134440085144791); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 11, '2022-10-23 00:00:00', 0.283069767441861, 0.11694210547094); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 5, '2022-10-23 00:00:00', 0.274446153846153, 0.178849166086672); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230426101300, 10, '2022-10-23 00:00:00', 0.325869230769231, 0.14749486331676);
Date: 2022-10-23 14:16:53 Duration: 45ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
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insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 2, '2022-10-23 00:00:00', 0.001004, 0.000556869155021127); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 20, '2022-10-23 00:00:00', 0.000836923076923079, 0.000376188238699973); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 7, '2022-10-23 00:00:00', 0.00128392307692307, 0.00104917575337921); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 23, '2022-10-23 00:00:00', 0.00100230769230769, 0.000408754277954461); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 21, '2022-10-23 00:00:00', 0.000991692307692311, 0.000471185439657288); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 19, '2022-10-23 00:00:00', 0.00100538461538461, 0.000458322106438089); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 1, '2022-10-23 00:00:00', 0.00116600000000001, 0.000610968985117247); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 11, '2022-10-23 00:00:00', 0.00133138461538462, 0.000521586360581261); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 22, '2022-10-23 00:00:00', 0.000962384615384611, 0.000424334963209251); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 6, '2022-10-23 00:00:00', 0.00129453846153847, 0.00082093169941134); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 5, '2022-10-23 00:00:00', 0.00143651162790699, 0.000947328192835964); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 8, '2022-10-23 00:00:00', 0.00120153846153847, 0.000549705293190772); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 13, '2022-10-23 00:00:00', 0.00119215384615385, 0.000559257515278902); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 12, '2022-10-23 00:00:00', 0.00117015384615384, 0.00044759648323774); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 0, '2022-10-23 00:00:00', 0.00153294573643412, 0.000711825780893734); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 18, '2022-10-23 00:00:00', 0.001354, 0.000601082486052254); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 16, '2022-10-23 00:00:00', 0.00147192307692307, 0.000551003448481513); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 3, '2022-10-23 00:00:00', 0.001492, 0.000600075447452788); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 14, '2022-10-23 00:00:00', 0.00128638461538463, 0.000498495416610456); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 15, '2022-10-23 00:00:00', 0.00148069767441861, 0.0007023000004967); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 9, '2022-10-23 00:00:00', 0.00130484615384616, 0.000481068311504656); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 17, '2022-10-23 00:00:00', 0.00184669230769231, 0.000698760129475791); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 4, '2022-10-23 00:00:00', 0.00162046153846154, 0.000945361471852297); insert into powerstats_hourly (symbolid, hour, enddate, ave, stddev) values (515840230431131300, 10, '2022-10-23 00:00:00', 0.00156092307692308, 0.000597552431813012);
Date: 2022-10-23 14:16:53 Duration: 44ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
19 1,070 27s966ms 0ms 3s851ms 26ms 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 #19
Day Hour Count Duration Avg duration Oct 23 14 1,070 27s966ms 26ms [ User: postgres - Total duration: 27s966ms - Times executed: 1070 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 27s966ms - Times executed: 1070 ]
-
/*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 = 566 AND sg.groupid = 515852059923228308 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 > 600818828109925302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-10-23 14:12:05 Duration: 3s851ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 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 = 529 AND sg.groupid = 515852059706590308 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 > 600816842830547302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-10-23 14:07:54 Duration: 1s820ms 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 = 529 AND sg.groupid = 515852059709228308 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 & 63 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice = - 1 AND a.resultuid > 600816139518516302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-10-23 14:07:54 Duration: 1s490ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
20 1,065 30s509ms 0ms 3s847ms 28ms 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 #20
Day Hour Count Duration Avg duration Oct 23 14 1,065 30s509ms 28ms [ User: postgres - Total duration: 30s509ms - Times executed: 1065 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 30s509ms - Times executed: 1065 ]
-
/*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 = 566 AND sg.groupid = 515852059923228308 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 > 600818820529779302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-10-23 14:12:05 Duration: 3s847ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 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 = 566 AND sg.groupid = 515852059923228308 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 > 600818820529779302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-10-23 14:08:01 Duration: 3s110ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 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 = 566 AND sg.groupid = 515852059765687308 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 > 600816120975475302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-10-23 14:08:05 Duration: 1s626ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 14m59s 14m59s 14m59s 1 14m59s select powerstats_tdata_add ();Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Oct 23 14 1 14m59s 14m59s [ User: postgres - Total duration: 14m59s - Times executed: 1 ]
[ Application: psql - Total duration: 14m59s - Times executed: 1 ]
-
select powerstats_tdata_add ();
Date: 2022-10-23 14:15:24 Duration: 14m59s Database: acaweb_fx User: postgres Remote: [local] Application: psql
-
select powerstats_tdata_add ();
Date: 2022-10-23 14:14:30 Duration: 0ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
2 2m23s 2m23s 2m23s 1 2m23s select pd.trumpetsymbolid::character varying as symbolid, ? as timegranularity, ? as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t15_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval ? and (? = ? or t.symbolid = ?) and (pt.enddate < current_timestamp - interval ? or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, ? as timegranularity, ? as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t30_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval ? and ((? = ?) or (? <> ? and t.symbolid = ?)) and (pt.enddate < current_timestamp - interval ? or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, ? as timegranularity, ? as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t60_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval ? and ((? = ?) or (? <> ? and t.symbolid = ?)) and (pt.enddate < current_timestamp - interval ? or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, ? as timegranularity, ? as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t240 group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval ? and ((? = ?) or (? <> ? and t.symbolid = ?)) and (pt.enddate < current_timestamp - interval ? or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, ? as timegranularity, ? as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t1440 group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval ? and ((? = ?) or (? <> ? and t.symbolid = ?)) and (pt.enddate < current_timestamp - interval ? or pt.enddate is null) group by pd.trumpetsymbolid;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Oct 23 14 1 2m23s 2m23s [ User: pgperfstats - Total duration: 2m23s - Times executed: 1 ]
[ Application: [unknown] - Total duration: 2m23s - Times executed: 1 ]
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select pd.trumpetsymbolid::character varying as symbolid, 15 as timegranularity, 't15_ps' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t15_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and (- 1 = - 1 or t.symbolid = - 1) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 30 as timegranularity, 't30_ps' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t30_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 60 as timegranularity, 't60_ps' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t60_ps group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 240 as timegranularity, 't240' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t240 group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid union all select pd.trumpetsymbolid::character varying as symbolid, 1440 as timegranularity, 't1440' as datatable from prfsymboltree pt right outer join powerstats_symboldata pd on pt.symbolid = pd.trumpetsymbolid inner join ( select max(pricedatetime) as pricedatetime, symbolid from t1440 group by symbolid) t on pd.trumpetsymbolid = t.symbolid where t.pricedatetime > current_timestamp - interval '13 days' and ((- 1 = - 1) or (- 1 <> - 1 and t.symbolid = - 1)) and (pt.enddate < current_timestamp - interval '6 days' or pt.enddate is null) group by pd.trumpetsymbolid;
Date: 2022-10-23 14:20:19 Duration: 2m23s Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
3 27s216ms 2m28s 1m15s 4 5m select updateageforrelevantresults ();Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Oct 23 14 4 5m 1m15s [ User: postgres - Total duration: 5m - Times executed: 4 ]
[ Application: psql - Total duration: 5m - Times executed: 4 ]
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select updateageforrelevantresults ();
Date: 2022-10-23 14:19:30 Duration: 2m28s Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateageforrelevantresults ();
Date: 2022-10-23 14:03:37 Duration: 1m35s Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateageforrelevantresults ();
Date: 2022-10-23 14:47:32 Duration: 29s680ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
4 7s392ms 34s221ms 18s924ms 4 1m15s select updateresultsmaterializedview ();Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Oct 23 14 4 1m15s 18s924ms [ User: postgres - Total duration: 1m15s - Times executed: 4 ]
[ Application: psql - Total duration: 1m15s - Times executed: 4 ]
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select updateresultsmaterializedview ();
Date: 2022-10-23 14:04:12 Duration: 34s221ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateresultsmaterializedview ();
Date: 2022-10-23 14:19:56 Duration: 26s77ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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select updateresultsmaterializedview ();
Date: 2022-10-23 14:32:37 Duration: 8s8ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
5 1s9ms 3m50s 17s22ms 131 37m9s 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 #5
Day Hour Count Duration Avg duration Oct 23 14 131 37m9s 17s22ms [ User: postgres - Total duration: 37m9s - Times executed: 131 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 24m55s - Times executed: 119 ]
[ Application: [unknown] - Total duration: 12m13s - Times executed: 12 ]
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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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:09:21 Duration: 3m50s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:17:56 Duration: 2m25s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:12:29 Duration: 1m58s Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
6 2s556ms 2m29s 14s338ms 131 31m18s 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 #6
Day Hour Count Duration Avg duration Oct 23 14 131 31m18s 14s338ms [ User: postgres - Total duration: 31m18s - Times executed: 131 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 22m16s - Times executed: 119 ]
[ Application: [unknown] - Total duration: 9m1s - Times executed: 12 ]
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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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:20:25 Duration: 2m29s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:13:41 Duration: 1m10s 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 ('320' = 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', '#TWTR', '#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', 'EURTRY', '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', 'USDRUB', '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', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', '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', '#TWTR', '#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: 2022-10-23 14:10:26 Duration: 1m4s Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown] Bind query: yes
7 2s555ms 48s950ms 8s220ms 16 2m11s 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 #7
Day Hour Count Duration Avg duration Oct 23 14 16 2m11s 8s220ms [ User: postgres - Total duration: 2m11s - Times executed: 16 ]
[ Application: psql - Total duration: 2m11s - 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: 2022-10-23 14:17:17 Duration: 48s950ms 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: 2022-10-23 14:19:14 Duration: 44s259ms 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: 2022-10-23 14:11:33 Duration: 3s106ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
8 1s561ms 19s988ms 5s927ms 16 1m34s 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 = ?) sub where result_uid = sub.resultuid;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Oct 23 14 16 1m34s 5s927ms [ User: postgres - Total duration: 1m34s - Times executed: 16 ]
[ Application: psql - Total duration: 1m34s - Times executed: 16 ]
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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 = 'cp') sub WHERE result_uid = sub.resultuid;
Date: 2022-10-23 14:05:32 Duration: 19s988ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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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 = 'cp') sub WHERE result_uid = sub.resultuid;
Date: 2022-10-23 14:11:29 Duration: 16s421ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
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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 = 'cp') sub WHERE result_uid = sub.resultuid;
Date: 2022-10-23 14:18:28 Duration: 15s731ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
9 796ms 8s719ms 3s168ms 119 6m17s 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 #9
Day Hour Count Duration Avg duration Oct 23 14 119 6m17s 3s168ms [ User: postgres - Total duration: 6m17s - Times executed: 119 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 6m17s - Times executed: 119 ]
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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: 2022-10-23 14:06:39 Duration: 8s719ms 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: 2022-10-23 14:19:42 Duration: 8s546ms 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 = '660' 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 ('209' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'META', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) 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: 2022-10-23 14:07:30 Duration: 7s182ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
10 1s282ms 3s639ms 2s824ms 65 3m3s insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select ?, ?, ?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.? where not exists (select ? from powerstats_trumpet where symbolid = ? and enddate = ? and dayofweek = ? and fromtime = ?); insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, 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 #10
Day Hour Count Duration Avg duration Oct 23 14 65 3m3s 2s824ms [ User: pgperfstats - Total duration: 3m3s - Times executed: 65 ]
[ Application: [unknown] - Total duration: 3m3s - Times executed: 65 ]
-
insert into powerstats_trumpet(symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) select 515840217982780300, 1, 990, '2022-10-23 00:00:00', 0.138803639060545, 0.534545454545454, 0.210158283988532, 0.706136363636363, 0.268357598859806, 0.854090909090909, 0.356639027735182, 1.13659090909091, 1.0234621289707, 3.01159090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1005, '2022-10-23 00:00:00', 0.166043206185458, 0.428181818181818, 0.182727205423089, 0.550227272727273, 0.263727546181128, 0.688863636363637, 0.366689368639987, 0.972045454545456, 1.01524121203521, 2.97363636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1020, '2022-10-23 00:00:00', 0.117304917727024, 0.351590909090909, 0.17552333622183, 0.463181818181818, 0.274665971871099, 0.61659090909091, 0.351483020717664, 0.933863636363637, 1.02673630786461, 2.96272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1035, '2022-10-23 00:00:00', 0.0929090347845073, 0.279772727272728, 0.151453277409555, 0.420000000000001, 0.228686371937544, 0.601136363636365, 0.29705817714054, 0.879318181818183, 0.969171110120726, 2.92454545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1050, '2022-10-23 00:00:00', 0.0891290833930961, 0.254772727272727, 0.139414553576438, 0.384318181818181, 0.220948491578322, 0.532045454545454, 0.227375031087199, 0.8175, 0.934069350716558, 2.90386363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1065, '2022-10-23 00:00:00', 0.082357380332537, 0.2475, 0.127614857865579, 0.353863636363637, 0.206436079642962, 0.492045454545454, 0.220412467533386, 0.760681818181819, 0.931957628674727, 2.89545454545454 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1080, '2022-10-23 00:00:00', 0.0953601625735862, 0.229318181818182, 0.131856540172065, 0.338636363636363, 0.172946360825962, 0.478409090909091, 0.225004208714845, 0.739318181818182, 0.935229675242689, 2.88454545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1095, '2022-10-23 00:00:00', 0.0697087323031153, 0.215454545454545, 0.100251847366685, 0.323636363636363, 0.117844319123933, 0.447954545454545, 0.193234599359458, 0.694090909090909, 0.951302592962209, 2.86863636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1110, '2022-10-23 00:00:00', 0.0805087314777468, 0.229318181818181, 0.108894732519818, 0.326590909090909, 0.160669594555779, 0.421363636363636, 0.207984556536237, 0.691363636363637, 0.94297083385781, 2.88022727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1125, '2022-10-23 00:00:00', 0.0591241997465588, 0.208636363636364, 0.0843449421368541, 0.289545454545454, 0.123204199976198, 0.364318181818182, 0.235673943812649, 0.667272727272728, 0.954348443903458, 3.09 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1140, '2022-10-23 00:00:00', 0.0720348190218797, 0.206590909090909, 0.109319273063826, 0.269318181818182, 0.141686082193863, 0.375227272727272, 0.257614451511761, 0.666590909090909, 1.01659040946, 3.11318181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1155, '2022-10-23 00:00:00', 0.0500843444445616, 0.166818181818181, 0.0748566451026043, 0.240227272727272, 0.140793976160004, 0.364090909090909, 0.475739115091145, 1.29409090909091, 1.03717867814066, 3.13590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1170, '2022-10-23 00:00:00', 0.0589449996777751, 0.179318181818182, 0.115070324817825, 0.270681818181818, 0.133752857314627, 0.352272727272727, 0.475431906623333, 1.36545454545454, 1.05635914482582, 3.1575 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1185, '2022-10-23 00:00:00', 0.0704837950735153, 0.176818181818182, 0.0876808582327575, 0.233863636363637, 0.0913522747129935, 0.314999999999999, 0.465701305159977, 1.41409090909091, 1.08406274977722, 3.17295454545454 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1200, '2022-10-23 00:00:00', 0.0689677288233252, 0.1725, 0.0878938261502183, 0.22090909090909, 0.118779872068706, 0.324090909090908, 0.457865897019728, 1.44431818181818, 1.091345331247, 3.17818181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1215, '2022-10-23 00:00:00', 0.050181488799973, 0.15090909090909, 0.071062209804774, 0.223863636363635, 0.124361573107617, 0.31590909090909, 0.464727087906189, 1.47113636363636, 1.08659355416276, 3.18886363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1230, '2022-10-23 00:00:00', 0.0560187043593053, 0.149999999999999, 0.0877055409011425, 0.217499999999999, 0.121331894287647, 0.295, 0.483933647199464, 1.48681818181818, 1.07967667919694, 3.20272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1245, '2022-10-23 00:00:00', 0.0648946031947923, 0.1475, 0.107507424489411, 0.224318181818182, 0.119890823351121, 0.285, 0.509831905071241, 1.515, 1.0805517069266, 3.20590909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1260, '2022-10-23 00:00:00', 0.0833757467823531, 0.165909090909091, 0.0974726623901298, 0.223409090909091, 0.144374490497779, 0.320227272727273, 0.535294200372451, 1.5375, 1.07870282448401, 3.20954545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1275, '2022-10-23 00:00:00', 0.076505453502248, 0.145681818181818, 0.101476118359951, 0.205454545454546, 0.143446484583604, 0.324318181818182, 0.534592989574466, 1.53795454545454, 1.09283154696563, 3.21886363636363 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1290, '2022-10-23 00:00:00', 0.0511195017894692, 0.143181818181818, 0.098160847327496, 0.226136363636363, 0.158982832801348, 0.322727272727271, 0.532580756228351, 1.5425, 1.09827462087455, 3.225 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1305, '2022-10-23 00:00:00', 0.0813618527459335, 0.164318181818182, 0.0953488128080055, 0.231590909090909, 0.159883108004279, 0.319318181818181, 0.51845325445625, 1.56840909090909, 1.10800298595406, 3.23704545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1320, '2022-10-23 00:00:00', 0.0652832655579111, 0.145, 0.120046888386394, 0.227727272727272, 0.180136582380394, 0.347954545454545, 0.506067086564515, 1.57909090909091, 1.1136051590292, 3.24545454545454 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1335, '2022-10-23 00:00:00', 0.0796230295820674, 0.167727272727272, 0.104613543609293, 0.239772727272727, 0.475284831438655, 1.16363636363636, 0.484880770367172, 1.57613636363636, 1.1128073776446, 3.23545454545454 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1350, '2022-10-23 00:00:00', 0.0579856677321012, 0.146363636363636, 0.0903687132198113, 0.233863636363635, 0.471988287696786, 1.22409090909091, 0.478945224570127, 1.55363636363636, 1.12229752365482, 3.23272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 1, 1365, '2022-10-23 00:00:00', 0.0756987650513738, 0.192272727272727, 0.475127916246286, 1.12181818181818, 0.460482995065605, 1.26227272727273, 0.473889508465599, 1.55113636363636, 1.11838163843005, 3.23318181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 990, '2022-10-23 00:00:00', 0.196196624294648, 0.496346153846155, 0.187625650206427, 0.62423076923077, 0.193221375629096, 0.7425, 0.312733359023552, 1.14307692307692, 0.997903725894361, 3.01961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1005, '2022-10-23 00:00:00', 0.155391812476125, 0.373846153846154, 0.181633294982373, 0.500576923076924, 0.220285129914705, 0.663461538461539, 0.347010751329784, 1.03769230769231, 0.974671246350039, 2.98596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1020, '2022-10-23 00:00:00', 0.0954207282754406, 0.313653846153847, 0.140357921592784, 0.432884615384616, 0.218169394314108, 0.603269230769232, 0.349549655325909, 0.964807692307692, 0.981030149305389, 2.96692307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1035, '2022-10-23 00:00:00', 0.10180599952096, 0.302692307692307, 0.137661234138792, 0.431153846153846, 0.191916648574323, 0.56, 0.33222652142546, 0.897692307692307, 0.992516479227656, 2.93019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1050, '2022-10-23 00:00:00', 0.098738972120356, 0.304230769230769, 0.1333810331344, 0.4025, 0.232691938969828, 0.523461538461538, 0.335738222200205, 0.841923076923076, 1.00844007487574, 2.91923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1065, '2022-10-23 00:00:00', 0.0804123985847579, 0.226923076923078, 0.114549283985272, 0.336538461538462, 0.174100877035745, 0.471346153846154, 0.319168209810825, 0.822884615384615, 0.995400112826689, 2.91076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1080, '2022-10-23 00:00:00', 0.0802565597606533, 0.233653846153846, 0.143597193030204, 0.328076923076923, 0.175754198986932, 0.471538461538461, 0.295031419448063, 0.801538461538461, 0.9695548542422, 2.90615384615384 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1095, '2022-10-23 00:00:00', 0.0891629881819714, 0.220961538461538, 0.101146504559551, 0.306153846153845, 0.17313134187218, 0.462307692307692, 0.289979044335701, 0.769615384615384, 0.950791593276967, 2.90942307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1110, '2022-10-23 00:00:00', 0.0633078558741691, 0.196730769230769, 0.0983736987989396, 0.294230769230769, 0.161313359645133, 0.42, 0.27966325904834, 0.726538461538462, 0.938457265122679, 2.90903846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1125, '2022-10-23 00:00:00', 0.0626261803205207, 0.194038461538461, 0.117183616602322, 0.289999999999999, 0.152845824783819, 0.390384615384616, 0.292787465578703, 0.7175, 1.14337827713114, 3.08673076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1140, '2022-10-23 00:00:00', 0.106203179729307, 0.203653846153845, 0.127071300397122, 0.288653846153846, 0.13045069802567, 0.360769230769232, 0.308001560935106, 0.709807692307692, 1.18578406388088, 3.12038461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1155, '2022-10-23 00:00:00', 0.0667786239404834, 0.185769230769231, 0.0796745785149717, 0.264038461538461, 0.103895842813107, 0.352115384615386, 0.461265691832309, 1.16596153846154, 1.17700460753297, 3.15038461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1170, '2022-10-23 00:00:00', 0.0572726273725403, 0.176923076923077, 0.0790559684897107, 0.235384615384617, 0.13029330816986, 0.357884615384617, 0.452235132850838, 1.20884615384615, 1.19649680960068, 3.18115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1185, '2022-10-23 00:00:00', 0.0636347752049502, 0.155769230769232, 0.101636796789049, 0.255961538461539, 0.216601814751968, 0.392884615384616, 0.439491314344908, 1.23615384615385, 1.22626895029661, 3.19653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1200, '2022-10-23 00:00:00', 0.0985488945416667, 0.20173076923077, 0.142262622800769, 0.269423076923078, 0.273836349219467, 0.392115384615385, 0.425492655635792, 1.285, 1.24133817372159, 3.21769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1215, '2022-10-23 00:00:00', 0.0760923022489038, 0.159038461538461, 0.18145618246245, 0.267884615384615, 0.22163587601844, 0.352692307692308, 0.416007951107445, 1.29615384615385, 1.22496141226508, 3.21269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1230, '2022-10-23 00:00:00', 0.108185026690388, 0.185000000000001, 0.157041885642506, 0.241923076923078, 0.154086514160565, 0.324423076923078, 0.415800987899813, 1.29730769230769, 1.22159819656307, 3.22192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1245, '2022-10-23 00:00:00', 0.0777718556963991, 0.152692307692307, 0.0750189719594057, 0.234615384615384, 0.107605583212311, 0.329807692307692, 0.426468188010095, 1.30134615384615, 1.21788437306415, 3.22211538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1260, '2022-10-23 00:00:00', 0.0746818894738512, 0.17576923076923, 0.0996047959920369, 0.231346153846154, 0.137476711314485, 0.360384615384616, 0.42970204346017, 1.30961538461538, 1.22087528500599, 3.22230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1275, '2022-10-23 00:00:00', 0.0577714329192067, 0.156538461538462, 0.0953473407317452, 0.233653846153847, 0.145795958580688, 0.372307692307693, 0.433943500398912, 1.31019230769231, 1.21864287694897, 3.21730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1290, '2022-10-23 00:00:00', 0.0813777989002295, 0.177884615384616, 0.118804461195698, 0.282500000000001, 0.139155143081936, 0.368076923076923, 0.430184396956252, 1.30115384615385, 1.21852125072218, 3.21596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1305, '2022-10-23 00:00:00', 0.0728309422831137, 0.187884615384615, 0.103278004211189, 0.257115384615384, 0.122714960532372, 0.345192307692307, 0.462562469793581, 1.28403846153846, 1.23605843775222, 3.20769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1320, '2022-10-23 00:00:00', 0.0585586491016947, 0.161346153846154, 0.0789313236057386, 0.218076923076923, 0.100065555435501, 0.328653846153845, 0.481175164011545, 1.26346153846154, 1.23217382951995, 3.20211538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1335, '2022-10-23 00:00:00', 0.0596154342431562, 0.15, 0.0957338056198617, 0.235192307692307, 0.456163474408698, 0.896346153846153, 0.47205345199295, 1.26730769230769, 1.23262078515657, 3.2 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1350, '2022-10-23 00:00:00', 0.0585586491016953, 0.166346153846154, 0.0622266329328043, 0.223076923076923, 0.435963477651688, 0.948076923076923, 0.465028535104609, 1.26846153846154, 1.23137402928598, 3.2 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 2, 1365, '2022-10-23 00:00:00', 0.062473686768603, 0.165192307692307, 0.45336303164411, 0.854038461538461, 0.429387757340432, 0.975384615384615, 0.452706731356387, 1.26423076923077, 1.22053683018832, 3.19192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 990, '2022-10-23 00:00:00', 0.296991388116533, 0.596730769230769, 0.289144161542035, 0.712884615384616, 0.290938336051844, 0.843653846153846, 0.358838564516992, 1.08865384615385, 1.20550367705147, 3.08365384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1005, '2022-10-23 00:00:00', 0.186521704243356, 0.432115384615384, 0.217438585493786, 0.521538461538461, 0.292365945612422, 0.670384615384615, 0.365453985317734, 0.956153846153846, 1.23705377347209, 3.01096153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1020, '2022-10-23 00:00:00', 0.101113036517782, 0.319615384615384, 0.163364740570106, 0.459038461538461, 0.177583458169348, 0.548269230769231, 0.367359653996754, 0.868653846153846, 1.23675058116016, 2.99 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1035, '2022-10-23 00:00:00', 0.103288244919067, 0.277307692307693, 0.11495149478735, 0.375384615384617, 0.160382355638019, 0.482500000000001, 0.356723767295993, 0.870384615384615, 1.2175478035158, 2.97057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1050, '2022-10-23 00:00:00', 0.103231070158911, 0.260576923076923, 0.133630518163387, 0.331346153846154, 0.142400302506161, 0.469615384615384, 0.347891450798178, 0.832307692307692, 1.22030658190725, 2.94807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1065, '2022-10-23 00:00:00', 0.0889684473023135, 0.220769230769231, 0.110679891857277, 0.325961538461538, 0.134081490720555, 0.450384615384615, 0.338205047044176, 0.839423076923076, 1.2215974566746, 2.94711538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1080, '2022-10-23 00:00:00', 0.0650727403638537, 0.222692307692307, 0.0940525630452714, 0.311730769230769, 0.1047122430576, 0.425576923076922, 0.335477214633814, 0.839807692307692, 1.21350794742414, 2.94153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1095, '2022-10-23 00:00:00', 0.059490464652879, 0.196346153846153, 0.10212002741872, 0.307499999999999, 0.15509996776273, 0.405, 0.33982806738793, 0.843653846153846, 1.22474444744137, 2.93480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1110, '2022-10-23 00:00:00', 0.0899213331409525, 0.230384615384615, 0.110267681296296, 0.294807692307692, 0.191422307999877, 0.427499999999999, 0.348997906099075, 0.863461538461538, 1.22244565712157, 2.93923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1125, '2022-10-23 00:00:00', 0.0870810851139059, 0.188653846153845, 0.128427171819434, 0.281538461538461, 0.173753140536089, 0.423076923076922, 0.389862105799552, 0.862307692307692, 1.16266180015448, 3.10730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1140, '2022-10-23 00:00:00', 0.066843387567796, 0.195961538461538, 0.0990928080911251, 0.29076923076923, 0.159740294035229, 0.399807692307691, 0.399379566905391, 0.850961538461538, 1.15535970089905, 3.10596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1155, '2022-10-23 00:00:00', 0.103378505428427, 0.196346153846153, 0.132289309993141, 0.282692307692308, 0.176462351617735, 0.380192307692307, 0.792973760357419, 1.39423076923077, 1.11801831896372, 3.11480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1170, '2022-10-23 00:00:00', 0.0699384344647826, 0.17923076923077, 0.103065513145765, 0.2525, 0.129336174962175, 0.350384615384616, 0.76427481968203, 1.45, 1.08346381857164, 3.10038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1185, '2022-10-23 00:00:00', 0.0728636767162854, 0.158653846153846, 0.0878409839513336, 0.225961538461538, 0.134736923155973, 0.310961538461539, 0.768332259857974, 1.51230769230769, 1.04653303082864, 3.09423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1200, '2022-10-23 00:00:00', 0.0613627298560342, 0.159230769230769, 0.0866496038430289, 0.218076923076923, 0.105793885238449, 0.312115384615385, 0.751841764244005, 1.52403846153846, 1.03654227343384, 3.10173076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1215, '2022-10-23 00:00:00', 0.0530126980434514, 0.142884615384615, 0.0787937912431016, 0.212307692307692, 0.168463189314005, 0.379615384615385, 0.756434754927045, 1.51153846153846, 1.03551913773497, 3.10826923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1230, '2022-10-23 00:00:00', 0.0653984826923486, 0.149807692307693, 0.0865110041911066, 0.213076923076924, 0.176350176113847, 0.35423076923077, 0.770691497692419, 1.51076923076923, 1.03680665432931, 3.11903846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1245, '2022-10-23 00:00:00', 0.0637483031448379, 0.145384615384615, 0.178245293389152, 0.285769230769231, 0.215267275729497, 0.405, 0.77206576045149, 1.52153846153846, 1.03795546073111, 3.12153846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1260, '2022-10-23 00:00:00', 0.172732897405658, 0.240576923076924, 0.168896531822114, 0.28596153846154, 0.282328777246561, 0.426538461538462, 0.773814154790312, 1.53211538461538, 1.04745245899093, 3.13057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1275, '2022-10-23 00:00:00', 0.080919713296575, 0.18, 0.237252948429437, 0.319807692307691, 0.310166952561904, 0.428461538461537, 0.759471197610547, 1.5375, 1.05773335304974, 3.14038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1290, '2022-10-23 00:00:00', 0.25657237695314, 0.249230769230768, 0.304478179084251, 0.329807692307692, 0.333931879280789, 0.4275, 0.756797833994298, 1.52019230769231, 1.07115309901921, 3.14480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1305, '2022-10-23 00:00:00', 0.166521423893098, 0.200769230769231, 0.212796038135474, 0.288076923076923, 0.278836042256983, 0.401538461538462, 0.758548512722717, 1.50961538461538, 1.07803705159674, 3.13326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1320, '2022-10-23 00:00:00', 0.126723958028707, 0.190192307692308, 0.152083984894986, 0.263461538461538, 0.241379130447072, 0.398269230769231, 0.731701073894566, 1.49230769230769, 1.06573003148077, 3.1275 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1335, '2022-10-23 00:00:00', 0.100891602151097, 0.171346153846154, 0.158050138101319, 0.259615384615385, 0.662196810158894, 1.10384615384615, 0.724168382459387, 1.46538461538462, 1.04390091262754, 3.10865384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1350, '2022-10-23 00:00:00', 0.0829942073974957, 0.169038461538462, 0.132132945871253, 0.261346153846154, 0.685051177201102, 1.16365384615385, 0.717056590407029, 1.44692307692308, 1.01480744668442, 3.09307692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 3, 1365, '2022-10-23 00:00:00', 0.0793514577443526, 0.175576923076924, 0.61570775410217, 1.01596153846154, 0.682621445943166, 1.21596153846154, 0.671677120234234, 1.40807692307692, 0.971756458884949, 3.07615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 990, '2022-10-23 00:00:00', 0.180660327261283, 0.506923076923077, 0.257522590495251, 0.64673076923077, 0.377636781129088, 0.826538461538461, 0.372373261867506, 1.04538461538462, 0.940313695611122, 2.96538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1005, '2022-10-23 00:00:00', 0.14534732936606, 0.399615384615385, 0.225664233217953, 0.577115384615385, 0.25048629626266, 0.670769230769231, 0.31134522022001, 0.920384615384616, 0.919955684551414, 2.92230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1020, '2022-10-23 00:00:00', 0.192424310794181, 0.378653846153846, 0.217406390112018, 0.468461538461539, 0.211999637154987, 0.560384615384615, 0.325582377617992, 0.866730769230769, 0.910779906707179, 2.90596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1035, '2022-10-23 00:00:00', 0.112527090755277, 0.292884615384615, 0.142304656932286, 0.396153846153846, 0.178025603171611, 0.528653846153846, 0.324156657284004, 0.811538461538462, 0.909750768913366, 2.89730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1050, '2022-10-23 00:00:00', 0.117126493094498, 0.291153846153846, 0.140932608008225, 0.39, 0.234258322239492, 0.544807692307693, 0.323721865424389, 0.794615384615385, 0.908991262545804, 2.88634615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1065, '2022-10-23 00:00:00', 0.120886469307108, 0.246538461538462, 0.190397256767569, 0.358653846153847, 0.256000901440721, 0.502307692307693, 0.340640403674293, 0.753269230769231, 0.906518869929612, 2.87730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1080, '2022-10-23 00:00:00', 0.119134862171471, 0.238653846153848, 0.204788915715671, 0.332500000000001, 0.225957875584061, 0.435192307692308, 0.328178891178858, 0.729230769230769, 0.904517061964347, 2.85634615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1095, '2022-10-23 00:00:00', 0.114554152461418, 0.229423076923078, 0.142718119166634, 0.317692307692308, 0.159483903214761, 0.416346153846155, 0.299075820075522, 0.727884615384615, 0.914170683440208, 2.83096153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1110, '2022-10-23 00:00:00', 0.111740771431022, 0.240000000000001, 0.123741044742018, 0.289615384615385, 0.149890344534315, 0.401346153846154, 0.290051520622431, 0.718269230769231, 0.926337972049909, 2.82096153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1125, '2022-10-23 00:00:00', 0.0788425890376125, 0.188076923076923, 0.119282631400578, 0.292884615384616, 0.146520148260074, 0.376923076923077, 0.293054799286099, 0.691346153846153, 0.861340815240982, 2.89 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1140, '2022-10-23 00:00:00', 0.0842130996570371, 0.204615384615386, 0.111536816964004, 0.272692307692309, 0.176789749093705, 0.388846153846155, 0.285962141119845, 0.712115384615384, 0.874991626333558, 2.88288461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1155, '2022-10-23 00:00:00', 0.0776788259437536, 0.205, 0.12432773067737, 0.270769230769231, 0.197533638810048, 0.393461538461539, 0.511815509128646, 1.20134615384615, 0.862409147946343, 2.88653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1170, '2022-10-23 00:00:00', 0.0748868377055576, 0.175961538461538, 0.106957396263112, 0.253269230769231, 0.156336053226572, 0.369807692307692, 0.54025136599692, 1.28346153846154, 0.864558491147582, 2.89423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1185, '2022-10-23 00:00:00', 0.0661504695023741, 0.16173076923077, 0.137780204004003, 0.24923076923077, 0.148979735328204, 0.344807692307693, 0.599712142486838, 1.32942307692308, 0.862978919432343, 2.89384615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1200, '2022-10-23 00:00:00', 0.0850402619577689, 0.180384615384615, 0.0888144132446974, 0.24, 0.166349146260323, 0.335961538461539, 0.654749071136299, 1.34711538461538, 0.869417046071677, 2.89 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1215, '2022-10-23 00:00:00', 0.0595185814553877, 0.172692307692308, 0.0861860688367826, 0.245961538461539, 0.160361610598817, 0.335384615384615, 0.681733536936988, 1.37384615384615, 0.866654753369795, 2.89230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1230, '2022-10-23 00:00:00', 0.0733372085223192, 0.172115384615385, 0.137224829554107, 0.240576923076923, 0.162861904692288, 0.335, 0.68023220017421, 1.38038461538462, 0.853978854899455, 2.88173076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1245, '2022-10-23 00:00:00', 0.107405235511983, 0.163269230769231, 0.105678940482664, 0.219038461538462, 0.138785944755002, 0.318461538461539, 0.682504099734094, 1.39461538461538, 0.847173331642441, 2.86942307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1260, '2022-10-23 00:00:00', 0.0482768458596228, 0.150576923076922, 0.0835611245643673, 0.217307692307692, 0.107733467409158, 0.3225, 0.685944267751789, 1.40653846153846, 0.837866429597315, 2.85807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1275, '2022-10-23 00:00:00', 0.0827835453735556, 0.153653846153847, 0.0985728937620048, 0.226153846153846, 0.121211988490603, 0.337884615384615, 0.685314189595939, 1.39346153846154, 0.829551060235873, 2.84480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1290, '2022-10-23 00:00:00', 0.0749258607917492, 0.156730769230769, 0.0887522480755363, 0.230192307692307, 0.127587677244377, 0.338846153846153, 0.679503240497169, 1.38057692307692, 0.813367454097234, 2.82615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1305, '2022-10-23 00:00:00', 0.0508031646500643, 0.154807692307692, 0.0907930868259514, 0.229230769230768, 0.128656519461705, 0.337499999999999, 0.691263308398804, 1.38480769230769, 0.814694940547593, 2.82461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1320, '2022-10-23 00:00:00', 0.0696896968436073, 0.164423076923076, 0.127561146725194, 0.249615384615384, 0.149492603367318, 0.350961538461537, 0.687669000207333, 1.38057692307692, 0.804055035429789, 2.8125 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1335, '2022-10-23 00:00:00', 0.106871598011533, 0.166538461538461, 0.110326961625608, 0.220961538461538, 0.439441297383568, 0.940576923076922, 0.690109049353796, 1.3825, 0.788754812249125, 2.80192307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1350, '2022-10-23 00:00:00', 0.0649653753933578, 0.157499999999999, 0.104316272054672, 0.246730769230769, 0.4437860277899, 1.02596153846154, 0.644974328648347, 1.37326923076923, 0.766354607616725, 2.78576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 4, 1365, '2022-10-23 00:00:00', 0.0703857503061074, 0.188076923076922, 0.396797371269208, 0.878076923076922, 0.48221141230154, 1.07538461538461, 0.626654886004926, 1.36711538461538, 0.763914513944711, 2.77576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 990, '2022-10-23 00:00:00', 0.267446975334149, 0.53326923076923, 0.283034654034829, 0.703846153846153, 0.326050019758649, 0.868846153846153, 0.468388070530607, 1.13923076923077, 0.695508004709783, 2.65423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1005, '2022-10-23 00:00:00', 0.171850561199594, 0.423846153846154, 0.170581809833738, 0.576923076923077, 0.251829383634115, 0.744038461538462, 0.346446188517729, 1.00980769230769, 0.716749500281545, 2.62461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1020, '2022-10-23 00:00:00', 0.125586776618952, 0.354038461538461, 0.174462360939589, 0.506346153846154, 0.218568859066991, 0.672115384615385, 0.294605407543456, 0.927115384615385, 0.684597607807231, 2.59326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1035, '2022-10-23 00:00:00', 0.129936078959559, 0.319230769230769, 0.166021430498039, 0.451346153846153, 0.18709191488513, 0.589230769230769, 0.292771898609455, 0.840769230769231, 0.667369578154528, 2.58807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1050, '2022-10-23 00:00:00', 0.0988147061618155, 0.267884615384615, 0.125408869763604, 0.364230769230769, 0.195892533332398, 0.501730769230769, 0.289503288143941, 0.773076923076924, 0.698520304203546, 2.56384615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1065, '2022-10-23 00:00:00', 0.0843365510686424, 0.229423076923077, 0.121800593657767, 0.355769230769231, 0.171028112848781, 0.463846153846154, 0.27671097112052, 0.745192307692308, 0.70966798846091, 2.56442307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1080, '2022-10-23 00:00:00', 0.0796772335015567, 0.232692307692307, 0.119495252560992, 0.316346153846153, 0.0950524146903253, 0.400192307692307, 0.258968367536685, 0.701153846153846, 0.706157887117648, 2.54480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1095, '2022-10-23 00:00:00', 0.0683590633234649, 0.195192307692308, 0.0779163752908312, 0.270192307692308, 0.10303397497913, 0.365, 0.229756057926327, 0.660384615384616, 0.751923507770878, 2.53519230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1110, '2022-10-23 00:00:00', 0.0610110330501468, 0.202115384615384, 0.0756957472639384, 0.269615384615384, 0.121364676143369, 0.37076923076923, 0.237337555782087, 0.653653846153846, 0.752629058700234, 2.5575 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1125, '2022-10-23 00:00:00', 0.051459095032254, 0.160961538461538, 0.0922315230610121, 0.244423076923077, 0.14892447750454, 0.357500000000001, 0.254071764543921, 0.632307692307692, 0.959793647694047, 2.86961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1140, '2022-10-23 00:00:00', 0.0864167006651281, 0.190384615384615, 0.0967798850683663, 0.257115384615384, 0.160606542639027, 0.352307692307691, 0.265790547959508, 0.653846153846154, 0.976424403312727, 2.94384615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1155, '2022-10-23 00:00:00', 0.0759243044090618, 0.1775, 0.113759023310748, 0.253653846153847, 0.162337729630355, 0.341538461538462, 0.472089667167324, 1.11942307692308, 1.04837891344392, 2.95211538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1170, '2022-10-23 00:00:00', 0.0752270920919817, 0.173653846153847, 0.0971176922802744, 0.240384615384615, 0.157524112928294, 0.330384615384616, 0.497433412629269, 1.19, 1.05557219262642, 2.96057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1185, '2022-10-23 00:00:00', 0.0576247809940781, 0.163846153846154, 0.0872258342112372, 0.222884615384616, 0.0993045045070186, 0.31423076923077, 0.525555566849172, 1.22442307692308, 1.06367751041086, 2.96961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1200, '2022-10-23 00:00:00', 0.0850438800764728, 0.167307692307694, 0.11245597429148, 0.232884615384616, 0.12225572190479, 0.317307692307693, 0.548510149965691, 1.26923076923077, 1.06281637823575, 2.97942307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1215, '2022-10-23 00:00:00', 0.0640675725008668, 0.154423076923077, 0.0829858653395485, 0.220576923076923, 0.131293124783381, 0.303269230769231, 0.589879550938482, 1.28826923076923, 1.06140525502026, 2.98134615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1230, '2022-10-23 00:00:00', 0.07197889647988, 0.160192307692307, 0.0963559107603753, 0.202307692307693, 0.12872212170169, 0.28923076923077, 0.620937876243547, 1.32461538461538, 1.07189451260553, 2.97538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1245, '2022-10-23 00:00:00', 0.0647135700904084, 0.125384615384616, 0.101669146670046, 0.198846153846154, 0.111803570880086, 0.260961538461539, 0.640387022402499, 1.33846153846154, 1.07530904323433, 2.97346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1260, '2022-10-23 00:00:00', 0.0598845042239972, 0.143076923076923, 0.07028951119915, 0.191153846153846, 0.112477177172151, 0.268653846153846, 0.653954979631332, 1.35134615384615, 1.08448784438341, 2.97173076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1275, '2022-10-23 00:00:00', 0.0524217365368451, 0.144038461538462, 0.0717712713041602, 0.191346153846154, 0.118024932176997, 0.27826923076923, 0.665854338425455, 1.365, 1.08104345959747, 2.98019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1290, '2022-10-23 00:00:00', 0.051990013834019, 0.134807692307693, 0.0947419572393268, 0.199038461538461, 0.100958673952037, 0.270576923076923, 0.650556566452024, 1.37461538461538, 1.06870620917933, 2.98480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1305, '2022-10-23 00:00:00', 0.0749042979150992, 0.140576923076923, 0.0825870170463584, 0.196153846153846, 0.125387553056667, 0.295961538461538, 0.637364193679419, 1.38134615384615, 1.0519668940389, 2.99288461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1320, '2022-10-23 00:00:00', 0.0573048527949078, 0.145384615384615, 0.0770127362094185, 0.189807692307692, 0.132688907425776, 0.327115384615384, 0.635259123386791, 1.37807692307692, 1.0506809696573, 2.9925 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1335, '2022-10-23 00:00:00', 0.0400941200369639, 0.128461538461538, 0.0989980574789996, 0.223846153846154, 0.466986081163026, 0.964999999999999, 0.643692473157796, 1.365, 1.07023383498115, 2.98269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1350, '2022-10-23 00:00:00', 0.0908379791801783, 0.171538461538462, 0.10109344496744, 0.241730769230769, 0.500640551232581, 1.05480769230769, 0.635135115849073, 1.35615384615385, 1.07462451402983, 2.97461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 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 515840217982780300, 5, 1365, '2022-10-23 00:00:00', 0.0619826278391471, 0.160384615384616, 0.464904456685623, 0.898076923076922, 0.519917301116245, 1.075, 0.612660685359046, 1.33365384615385, 1.08279446163796, 2.95538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217982780300 and enddate = '2022-10-23 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2022-10-23 14:51:23 Duration: 3s639ms 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 515840218072458300, 1, 990, '2022-10-23 00:00:00', 0.160153639707901, 0.412045454545455, 0.190636465307039, 0.4875, 0.241960785345522, 0.559545454545454, 0.324805386286987, 0.76340909090909, 1.0516774891218, 2.19727272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1005, '2022-10-23 00:00:00', 0.129153923404347, 0.290454545454546, 0.147206491304735, 0.355681818181818, 0.211460597784988, 0.476818181818181, 0.285028763643068, 0.678409090909091, 1.05589358148028, 2.16227272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1020, '2022-10-23 00:00:00', 0.0953337722873069, 0.223636363636364, 0.139401162056433, 0.317727272727273, 0.196127139831169, 0.452954545454545, 0.308136856787406, 0.654318181818182, 1.06706420994171, 2.15113636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1035, '2022-10-23 00:00:00', 0.0947990013098799, 0.205227272727272, 0.107791686224159, 0.304999999999999, 0.187755741895471, 0.438863636363636, 0.299546193562732, 0.607727272727272, 1.07270849596525, 2.13022727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1050, '2022-10-23 00:00:00', 0.0576731347872686, 0.199999999999999, 0.142718087084127, 0.3075, 0.166246439925428, 0.395454545454545, 0.289777119905591, 0.567727272727273, 1.06293465771894, 2.11090909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1065, '2022-10-23 00:00:00', 0.0976135702190479, 0.191136363636363, 0.105090406348503, 0.255227272727272, 0.134294089957088, 0.337954545454545, 0.283094851251651, 0.538863636363636, 1.06238052549564, 2.1 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1080, '2022-10-23 00:00:00', 0.0517073223648952, 0.146136363636364, 0.105810876371201, 0.220681818181819, 0.137485339635608, 0.296136363636363, 0.287805926072155, 0.506818181818182, 1.0670200899207, 2.08340909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1095, '2022-10-23 00:00:00', 0.0699443192275671, 0.152727272727273, 0.10553025253042, 0.21840909090909, 0.197034425761249, 0.314772727272727, 0.255438677081051, 0.483181818181818, 1.06570312947517, 2.07272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1110, '2022-10-23 00:00:00', 0.0683225099653503, 0.148181818181818, 0.0922564654170946, 0.197272727272727, 0.218293757359583, 0.295454545454545, 0.263971499183061, 0.47, 1.06946976788294, 2.06181818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1125, '2022-10-23 00:00:00', 0.0437927280527604, 0.130227272727273, 0.180250697232532, 0.221136363636364, 0.212084199770298, 0.285227272727273, 0.26447295052319, 0.459318181818182, 1.12900523198647, 2.19136363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1140, '2022-10-23 00:00:00', 0.173764656487319, 0.168181818181818, 0.206095426138778, 0.210909090909091, 0.208073517643617, 0.287272727272728, 0.278404156683902, 0.472272727272727, 1.16792386652926, 2.22659090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1155, '2022-10-23 00:00:00', 0.0748696558557958, 0.130681818181818, 0.0893546487137248, 0.191590909090909, 0.106278039335611, 0.244545454545455, 0.339531842828286, 0.776590909090909, 1.18019261121526, 2.22386363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1170, '2022-10-23 00:00:00', 0.0641869732303023, 0.133409090909091, 0.0851141962713998, 0.177045454545455, 0.092954161770607, 0.23, 0.346485524394192, 0.806136363636364, 1.18743083644564, 2.23909090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1185, '2022-10-23 00:00:00', 0.0582821358505963, 0.122045454545455, 0.074821938699973, 0.160681818181818, 0.0957619252121963, 0.228181818181818, 0.372435604126108, 0.859772727272727, 1.19692851866261, 2.24954545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1200, '2022-10-23 00:00:00', 0.0651509236860297, 0.1225, 0.076072419358221, 0.166818181818182, 0.129360105119533, 0.250681818181819, 0.367285659141839, 0.900227272727273, 1.21490778247298, 2.26159090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1215, '2022-10-23 00:00:00', 0.0493529562003561, 0.115, 0.070805889768959, 0.172045454545455, 0.0963211282131794, 0.227045454545454, 0.368059730706804, 0.953181818181817, 1.22165252940327, 2.26204545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1230, '2022-10-23 00:00:00', 0.0542381313447915, 0.116818181818182, 0.0793633351179176, 0.166590909090909, 0.0797415332258671, 0.207954545454545, 0.365391698145419, 0.967954545454545, 1.22285524322687, 2.26022727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1245, '2022-10-23 00:00:00', 0.0517758238054776, 0.109545454545455, 0.0718569406071529, 0.149090909090909, 0.0749967531764741, 0.194318181818182, 0.349164432418024, 0.984090909090908, 1.22285524322687, 2.26022727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1260, '2022-10-23 00:00:00', 0.052455402620409, 0.107045454545455, 0.0563058284758008, 0.143181818181819, 0.0679719352577517, 0.189772727272728, 0.343731827540118, 1.00795454545455, 1.2233767626791, 2.25931818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1275, '2022-10-23 00:00:00', 0.0397829609592343, 0.0927272727272725, 0.0528679642602364, 0.134545454545454, 0.10382745635255, 0.212954545454545, 0.340131197630755, 1.02977272727273, 1.22398683696202, 2.25840909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1290, '2022-10-23 00:00:00', 0.0355727715805518, 0.090227272727273, 0.0559471766945088, 0.139090909090909, 0.123766861197721, 0.227045454545455, 0.348126401386037, 1.05590909090909, 1.22678141520511, 2.26045454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1305, '2022-10-23 00:00:00', 0.0483521757569702, 0.108863636363636, 0.0874741767708143, 0.162272727272727, 0.125089794587555, 0.233863636363636, 0.343648066350582, 1.05477272727273, 1.23490846533211, 2.26181818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1320, '2022-10-23 00:00:00', 0.0770425333698985, 0.118863636363636, 0.109503009506174, 0.186363636363637, 0.173653290691439, 0.265681818181818, 0.338096674742391, 1.05386363636364, 1.23849879890607, 2.26068181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1335, '2022-10-23 00:00:00', 0.0653632043649063, 0.123409090909091, 0.0786744208886499, 0.167954545454545, 0.295959076380122, 0.676818181818181, 0.309910352210001, 1.04204545454545, 1.23759419598647, 2.26318181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1350, '2022-10-23 00:00:00', 0.0563077505372285, 0.105909090909091, 0.0917002103128921, 0.1725, 0.294614080977058, 0.703863636363636, 0.30223267319168, 1.03772727272727, 1.23759419598647, 2.26318181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 1, 1365, '2022-10-23 00:00:00', 0.0748696558557969, 0.125681818181818, 0.285930545860839, 0.645909090909091, 0.312984602611473, 0.751136363636363, 0.300050500799954, 1.03772727272727, 1.23784988931811, 2.26340909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 990, '2022-10-23 00:00:00', 0.164925624262761, 0.387692307692307, 0.186377202303451, 0.457692307692308, 0.189468588831622, 0.582884615384615, 0.245918451148718, 0.83826923076923, 1.2005586680311, 2.11865384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1005, '2022-10-23 00:00:00', 0.110045619910738, 0.284038461538462, 0.132679486560079, 0.394615384615384, 0.19340879384987, 0.535192307692307, 0.266274583552681, 0.771923076923077, 1.20339794556274, 2.11115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1020, '2022-10-23 00:00:00', 0.0885898066718392, 0.256923076923077, 0.124283330152705, 0.357115384615385, 0.166757424007264, 0.459038461538461, 0.287865419944807, 0.7275, 1.20446376514134, 2.10480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1035, '2022-10-23 00:00:00', 0.0647599116262996, 0.209615384615384, 0.104814304660855, 0.310961538461537, 0.148895936814944, 0.399999999999999, 0.288018428897554, 0.678846153846153, 1.20054314631081, 2.08961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1050, '2022-10-23 00:00:00', 0.0753527601454548, 0.214038461538461, 0.0966922158986163, 0.264230769230768, 0.158695766023691, 0.367115384615384, 0.277356199747655, 0.642307692307692, 1.19508139407387, 2.07346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1065, '2022-10-23 00:00:00', 0.0620325596887515, 0.170961538461538, 0.125441374600004, 0.253461538461538, 0.154295545576064, 0.363653846153846, 0.249995692270579, 0.615384615384615, 1.19457132639544, 2.06942307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1080, '2022-10-23 00:00:00', 0.0642543024599546, 0.168846153846154, 0.0816606486532008, 0.242692307692308, 0.160571215928059, 0.381346153846154, 0.211634027364367, 0.594807692307692, 1.19431074425635, 2.05807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1095, '2022-10-23 00:00:00', 0.0603617301072333, 0.161538461538462, 0.0947596148967725, 0.23923076923077, 0.148351453805326, 0.346923076923077, 0.194061944908162, 0.559038461538461, 1.1947012661685, 2.04634615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1110, '2022-10-23 00:00:00', 0.0511336860215831, 0.159423076923078, 0.102393847471418, 0.2425, 0.11490815730567, 0.306730769230769, 0.185273706050929, 0.522115384615385, 1.16883915126867, 2.04019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1125, '2022-10-23 00:00:00', 0.073923297046019, 0.150576923076923, 0.0747819908390129, 0.202884615384616, 0.0912083413864196, 0.275192307692308, 0.187386888959303, 0.505384615384615, 1.18975685945297, 2.13923076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1140, '2022-10-23 00:00:00', 0.0514063749413959, 0.136153846153846, 0.0555701220219871, 0.190961538461538, 0.103503437326794, 0.260192307692308, 0.175748071441437, 0.490769230769231, 1.19168808838555, 2.1525 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1155, '2022-10-23 00:00:00', 0.0574322343154222, 0.132692307692308, 0.080535945152078, 0.190961538461539, 0.0996563325403088, 0.255769230769231, 0.469984165036032, 0.851346153846154, 1.17346765875922, 2.17288461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1170, '2022-10-23 00:00:00', 0.0442705840867801, 0.123269230769231, 0.0707881454656184, 0.164807692307692, 0.0900692041624745, 0.247692307692307, 0.457454873772771, 0.889807692307692, 1.18924560767935, 2.18634615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1185, '2022-10-23 00:00:00', 0.0466958242244423, 0.1125, 0.057754120732104, 0.168461538461539, 0.112192314284961, 0.258653846153846, 0.472307795665236, 0.940576923076923, 1.2001635946179, 2.19942307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1200, '2022-10-23 00:00:00', 0.0529135724918108, 0.125384615384616, 0.0732424845186282, 0.182307692307692, 0.158115829013465, 0.271153846153846, 0.48172047432574, 0.948846153846154, 1.21003930323962, 2.20365384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1215, '2022-10-23 00:00:00', 0.0478764435412015, 0.113076923076923, 0.106405610031398, 0.178076923076923, 0.151216604704845, 0.262692307692308, 0.501169286614966, 0.960576923076923, 1.21390095908255, 2.21653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1230, '2022-10-23 00:00:00', 0.067842577962629, 0.123846153846154, 0.118439858155943, 0.18, 0.118670357908594, 0.249423076923077, 0.4992260163339, 0.971153846153846, 1.2076143678917, 2.22769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1245, '2022-10-23 00:00:00', 0.0681627012826941, 0.123076923076923, 0.0717870783315812, 0.185769230769231, 0.0930932121792242, 0.247115384615385, 0.508171685101071, 0.982692307692308, 1.2118766280189, 2.22019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1260, '2022-10-23 00:00:00', 0.0604868072074722, 0.129423076923077, 0.0847139984799535, 0.182692307692308, 0.109972024414603, 0.264615384615385, 0.523125848956209, 0.984423076923077, 1.22572728802755, 2.22076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1275, '2022-10-23 00:00:00', 0.0606658565739097, 0.117115384615384, 0.0800367703957663, 0.176730769230769, 0.101476029757695, 0.255769230769231, 0.523376059826966, 0.9825, 1.23708815990802, 2.21634615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1290, '2022-10-23 00:00:00', 0.0731712953386669, 0.130961538461538, 0.0946387869744743, 0.1975, 0.102908473150435, 0.246923076923077, 0.528763288612793, 0.978846153846154, 1.23337019522183, 2.20403846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1305, '2022-10-23 00:00:00', 0.0518566811955351, 0.118653846153846, 0.0584412920406843, 0.160769230769231, 0.101111514979939, 0.241538461538461, 0.527461409452425, 0.961538461538462, 1.22546313066342, 2.19673076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1320, '2022-10-23 00:00:00', 0.0350406357511692, 0.105384615384615, 0.056880441413412, 0.15076923076923, 0.0992923035207742, 0.224807692307692, 0.530499909374313, 0.958076923076923, 1.21449699939459, 2.20519230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1335, '2022-10-23 00:00:00', 0.0406182982637892, 0.104615384615384, 0.0883367681964006, 0.174230769230769, 0.488292984243619, 0.684038461538461, 0.527238998499221, 0.959807692307692, 1.20114959357852, 2.20788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1350, '2022-10-23 00:00:00', 0.0562275596263831, 0.123461538461538, 0.0551487498986569, 0.16076923076923, 0.458331925405763, 0.716923076923077, 0.511631665887151, 0.945192307692308, 1.18040457536324, 2.20019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 2, 1365, '2022-10-23 00:00:00', 0.0446076916444483, 0.115384615384615, 0.453582831041239, 0.634230769230769, 0.449719741787979, 0.755384615384615, 0.48950241611724, 0.931153846153846, 1.15775586970922, 2.18557692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 990, '2022-10-23 00:00:00', 0.139017431115116, 0.369615384615384, 0.205222955681038, 0.492307692307692, 0.257558432503861, 0.592115384615385, 0.352667636080292, 0.762692307692308, 1.12362108655625, 2.07211538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1005, '2022-10-23 00:00:00', 0.154344893513994, 0.307884615384616, 0.217172388101817, 0.414615384615384, 0.264162901372503, 0.489038461538462, 0.336954973024815, 0.675576923076923, 1.13860677348037, 2.04576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1020, '2022-10-23 00:00:00', 0.158033102666693, 0.262307692307692, 0.171043516730055, 0.34673076923077, 0.211215620780137, 0.439038461538462, 0.307352966723678, 0.650384615384615, 1.11172409416116, 2.02730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1035, '2022-10-23 00:00:00', 0.0593221323336869, 0.201346153846154, 0.0924123285148603, 0.274038461538462, 0.137735672157271, 0.383653846153846, 0.252900177935881, 0.6025, 1.00677056052432, 1.98480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1050, '2022-10-23 00:00:00', 0.0597214688881129, 0.189423076923077, 0.0894624975145365, 0.261538461538462, 0.151575444530489, 0.358653846153846, 0.25318198076604, 0.586346153846154, 1.00844558603823, 1.9675 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1065, '2022-10-23 00:00:00', 0.0855803715813384, 0.185, 0.129330375990508, 0.262884615384615, 0.157272546384148, 0.355576923076923, 0.256257757856301, 0.584038461538462, 1.0139794604201, 1.96288461538461 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1080, '2022-10-23 00:00:00', 0.0663580034011319, 0.165769230769231, 0.104029027014283, 0.235961538461539, 0.126782672924364, 0.310384615384616, 0.235446302877029, 0.565192307692308, 1.01960831468982, 1.95134615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1095, '2022-10-23 00:00:00', 0.0608326835230482, 0.143846153846154, 0.108178627208037, 0.233846153846154, 0.112257944724844, 0.289615384615385, 0.26285005962745, 0.571923076923077, 1.01679347044445, 1.94519230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1110, '2022-10-23 00:00:00', 0.0789432610267555, 0.155961538461538, 0.0939582558701137, 0.201923076923077, 0.130748290178554, 0.276346153846154, 0.279714758555651, 0.567884615384615, 1.01136450098179, 1.94807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1125, '2022-10-23 00:00:00', 0.0613965671804088, 0.131538461538462, 0.0868333948520873, 0.185961538461538, 0.135499645188295, 0.276923076923077, 0.293267861283057, 0.564038461538461, 0.996877683261399, 2.08365384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1140, '2022-10-23 00:00:00', 0.0551850035370539, 0.124230769230769, 0.0971511510680455, 0.187115384615385, 0.120938159658309, 0.270961538461538, 0.295670359587263, 0.564807692307692, 1.00862968732526, 2.09461538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1155, '2022-10-23 00:00:00', 0.0791135989477257, 0.139807692307692, 0.085452640954823, 0.191923076923077, 0.10596879076117, 0.254230769230769, 0.733419388890149, 0.964999999999999, 0.992848756783304, 2.11057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1170, '2022-10-23 00:00:00', 0.0515319169208605, 0.123461538461539, 0.0756662713194237, 0.175769230769231, 0.129462795368458, 0.243846153846154, 0.724859668116208, 0.981538461538461, 0.987293503239265, 2.11730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1185, '2022-10-23 00:00:00', 0.0580914398566208, 0.118846153846154, 0.0962736484434623, 0.171153846153847, 0.149147964735075, 0.236346153846154, 0.72847131826755, 1.02730769230769, 0.972496074739952, 2.14115384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1200, '2022-10-23 00:00:00', 0.0787625447883606, 0.121538461538462, 0.109837817503108, 0.172115384615385, 0.159962014721765, 0.234615384615384, 0.723317464082096, 1.03807692307692, 0.97123531569931, 2.14903846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1215, '2022-10-23 00:00:00', 0.0526161718339668, 0.112692307692308, 0.075818863088284, 0.1625, 0.117106132007877, 0.270384615384615, 0.720721433436931, 1.05923076923077, 0.976548789596064, 2.15346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1230, '2022-10-23 00:00:00', 0.0605640157189072, 0.115, 0.0787022138287003, 0.155961538461538, 0.131450049009559, 0.281346153846153, 0.750214225815123, 1.06923076923077, 0.984711828209342, 2.15576923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1245, '2022-10-23 00:00:00', 0.0485164524037585, 0.100384615384615, 0.111045555447373, 0.203653846153846, 0.167427596291651, 0.29, 0.766838289040435, 1.07519230769231, 0.990118349569305, 2.15788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1260, '2022-10-23 00:00:00', 0.117904133156495, 0.175769230769231, 0.136805870319391, 0.219615384615385, 0.218530406263153, 0.313461538461538, 0.76710256560244, 1.07788461538461, 1.0047308097197, 2.18 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1275, '2022-10-23 00:00:00', 0.0902238668748248, 0.147115384615384, 0.174437226972473, 0.232115384615385, 0.247204680065232, 0.313076923076923, 0.744243265647422, 1.07903846153846, 0.990655668658971, 2.17557692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1290, '2022-10-23 00:00:00', 0.178114051620346, 0.183846153846154, 0.220980768393994, 0.2375, 0.26013465448021, 0.295961538461538, 0.717646929474805, 1.07134615384615, 0.969028557966093, 2.16788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1305, '2022-10-23 00:00:00', 0.137987736355864, 0.153846153846154, 0.163975256107086, 0.206730769230769, 0.197981448237338, 0.259423076923077, 0.719890189275687, 1.06673076923077, 0.967243744636511, 2.17269230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1320, '2022-10-23 00:00:00', 0.0686977773685919, 0.12423076923077, 0.0874044533278393, 0.166538461538462, 0.132170781130382, 0.238653846153846, 0.693150777248356, 1.055, 0.956591786580799, 2.16038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1335, '2022-10-23 00:00:00', 0.0664312831775465, 0.123653846153846, 0.0860724203125578, 0.167692307692308, 0.678625420639738, 0.767692307692307, 0.688598129982491, 1.05923076923077, 0.96302266528164, 2.16057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1350, '2022-10-23 00:00:00', 0.0536240474184719, 0.113461538461538, 0.0853706849343131, 0.168076923076923, 0.667398191602169, 0.812115384615384, 0.702010409740921, 1.06884615384615, 0.966816663870902, 2.15730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 3, 1365, '2022-10-23 00:00:00', 0.0468122271995746, 0.11076923076923, 0.674069073155426, 0.726346153846154, 0.662105760782625, 0.859038461538461, 0.71036179839247, 1.07326923076923, 0.961434265123646, 2.15038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 990, '2022-10-23 00:00:00', 0.183118708870671, 0.382307692307692, 0.216564078277077, 0.47, 0.316151862243448, 0.6, 0.409392796148713, 0.842692307692308, 0.733899175636545, 1.97 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1005, '2022-10-23 00:00:00', 0.145617121774351, 0.287884615384615, 0.223615827842168, 0.409038461538461, 0.228411908621245, 0.52, 0.337010214408086, 0.761730769230769, 0.725176503713724, 1.91519230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1020, '2022-10-23 00:00:00', 0.156057188728511, 0.264615384615384, 0.16241115914673, 0.335769230769231, 0.221667890877668, 0.454423076923078, 0.350210705806574, 0.713461538461538, 0.72873853071856, 1.89961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1035, '2022-10-23 00:00:00', 0.0737597451188652, 0.2025, 0.127888172304496, 0.305769230769231, 0.173452831096482, 0.423269230769231, 0.334368118189427, 0.684038461538461, 0.71749417044, 1.88326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1050, '2022-10-23 00:00:00', 0.0853148016736564, 0.221153846153847, 0.109178752511649, 0.300000000000001, 0.166865676057582, 0.411923076923078, 0.311434398574378, 0.65923076923077, 0.721276965900382, 1.86730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1065, '2022-10-23 00:00:00', 0.0917934554395817, 0.194038461538462, 0.129588253266318, 0.278653846153846, 0.173833364063227, 0.370961538461538, 0.311047362211065, 0.632692307692308, 0.729232895160809, 1.85384615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1080, '2022-10-23 00:00:00', 0.0685029477187214, 0.174423076923077, 0.119796140942083, 0.253653846153846, 0.172288666532029, 0.33076923076923, 0.310304131210259, 0.605576923076923, 0.733162407236361, 1.84365384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1095, '2022-10-23 00:00:00', 0.0719957263688938, 0.160769230769231, 0.0975736408289424, 0.221153846153846, 0.164068583220554, 0.3075, 0.297697897979711, 0.575961538461539, 0.734416461186389, 1.84653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1110, '2022-10-23 00:00:00', 0.0659288660953256, 0.168846153846154, 0.119607852842272, 0.225961538461538, 0.147098214181494, 0.301730769230769, 0.296647745003034, 0.561730769230769, 0.734249695529127, 1.84615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1125, '2022-10-23 00:00:00', 0.0799961537536938, 0.149230769230769, 0.102690723122318, 0.209230769230769, 0.141111521636121, 0.302307692307692, 0.264594028655221, 0.545, 0.804178438866936, 1.94480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1140, '2022-10-23 00:00:00', 0.0556987087269186, 0.142115384615384, 0.0847460005863678, 0.20673076923077, 0.140151566307557, 0.307307692307692, 0.224585173152637, 0.5175, 0.792901414960368, 1.95057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1155, '2022-10-23 00:00:00', 0.063749811462768, 0.154038461538462, 0.0929813877157059, 0.216538461538462, 0.170897742704631, 0.339038461538461, 0.353355127532976, 0.795384615384615, 0.788841214401518, 1.95230769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1170, '2022-10-23 00:00:00', 0.0653031392813545, 0.137499999999999, 0.0902654205875434, 0.205384615384615, 0.169383156914003, 0.309423076923076, 0.402836863334946, 0.871538461538461, 0.781841440742008, 1.95403846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1185, '2022-10-23 00:00:00', 0.0654396374825394, 0.127884615384615, 0.119115974514821, 0.211153846153846, 0.147110110513807, 0.27576923076923, 0.446107998307412, 0.912115384615385, 0.768109993124984, 1.96480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1200, '2022-10-23 00:00:00', 0.0783100347239198, 0.142307692307692, 0.0997504578744068, 0.191923076923076, 0.13480769779436, 0.261346153846153, 0.462298105621836, 0.931538461538461, 0.767234093250655, 1.96807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1215, '2022-10-23 00:00:00', 0.0740259829644031, 0.139615384615385, 0.0806886227801279, 0.175576923076923, 0.114649465764128, 0.2425, 0.462397140329193, 0.966346153846154, 0.768738326990801, 1.96884615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1230, '2022-10-23 00:00:00', 0.0503697864261436, 0.121346153846154, 0.104794487523841, 0.181730769230769, 0.109406967855729, 0.246730769230769, 0.491022050264705, 0.979423076923077, 0.765336552414387, 1.96903846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1245, '2022-10-23 00:00:00', 0.0985145440258208, 0.126346153846153, 0.0896791288642241, 0.167884615384615, 0.0946564638777837, 0.234615384615384, 0.496560206280707, 0.979038461538462, 0.756796106064141, 1.96211538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1260, '2022-10-23 00:00:00', 0.0393270312204638, 0.106153846153846, 0.0488659862827364, 0.15173076923077, 0.062985040959067, 0.208653846153846, 0.487717486003779, 0.962884615384616, 0.751827337993137, 1.94711538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1275, '2022-10-23 00:00:00', 0.0500553539747592, 0.111538461538462, 0.0604279609248769, 0.153461538461539, 0.0747704178443281, 0.211153846153846, 0.505895588193697, 0.962115384615385, 0.754804508567514, 1.94538461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1290, '2022-10-23 00:00:00', 0.0528106195614249, 0.110192307692308, 0.0572941130013839, 0.151153846153847, 0.103196601017371, 0.218461538461539, 0.492487094715728, 0.948461538461539, 0.747361332648714, 1.94019230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1305, '2022-10-23 00:00:00', 0.0435046416621704, 0.100576923076923, 0.0523876086346909, 0.142692307692308, 0.110481463812505, 0.228076923076923, 0.481637311677574, 0.9475, 0.74319872588282, 1.94788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1320, '2022-10-23 00:00:00', 0.0393465862071143, 0.101923076923077, 0.101486641788654, 0.166538461538461, 0.121811487395641, 0.244038461538462, 0.476969600708473, 0.945, 0.739321960676445, 1.95480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1335, '2022-10-23 00:00:00', 0.078224774749534, 0.123653846153846, 0.0893637768639211, 0.171730769230769, 0.300184302362091, 0.596153846153846, 0.46687702218695, 0.933076923076923, 0.741197705380649, 1.95596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1350, '2022-10-23 00:00:00', 0.0481907268449662, 0.107115384615384, 0.0689048954384568, 0.156730769230769, 0.302015537043021, 0.679230769230769, 0.433450733603646, 0.901538461538462, 0.748506538689903, 1.95096153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 4, 1365, '2022-10-23 00:00:00', 0.0533136582298211, 0.112884615384615, 0.24671978811225, 0.534423076923077, 0.338222559862585, 0.7225, 0.427708024060987, 0.893076923076923, 0.756494852288145, 1.95730769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 990, '2022-10-23 00:00:00', 0.149371632565841, 0.356730769230769, 0.205010693904939, 0.51576923076923, 0.288106550802623, 0.630769230769231, 0.407370980047199, 0.803653846153846, 0.74798488261153, 1.94423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1005, '2022-10-23 00:00:00', 0.115631377163015, 0.321153846153846, 0.175579042029509, 0.425, 0.241351722277165, 0.589423076923077, 0.325652953546941, 0.720384615384616, 0.743791870185367, 1.92288461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1020, '2022-10-23 00:00:00', 0.109114089903113, 0.251730769230769, 0.15763455790579, 0.359423076923077, 0.231382550369263, 0.501730769230769, 0.25318957628319, 0.635192307692308, 0.726865160492964, 1.90480769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1035, '2022-10-23 00:00:00', 0.103063274067625, 0.229038461538462, 0.149905098183946, 0.333461538461538, 0.179244568633517, 0.408846153846154, 0.215878527096927, 0.591538461538462, 0.727858423469417, 1.88826923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1050, '2022-10-23 00:00:00', 0.0986485603622195, 0.221538461538462, 0.133048285046618, 0.279615384615385, 0.138197879311348, 0.364423076923077, 0.197092325105227, 0.564230769230769, 0.724315618625345, 1.87134615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1065, '2022-10-23 00:00:00', 0.0816116507519707, 0.182692307692308, 0.093050854582113, 0.252692307692308, 0.117955663117709, 0.343461538461539, 0.186670936306482, 0.540961538461539, 0.729188484655268, 1.87038461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1080, '2022-10-23 00:00:00', 0.0623982248268209, 0.161538461538462, 0.0826831300810509, 0.2275, 0.112451699032894, 0.29923076923077, 0.188235531674058, 0.521153846153846, 0.726066880793096, 1.85134615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1095, '2022-10-23 00:00:00', 0.0435435237611577, 0.159038461538462, 0.0926615014240213, 0.223076923076923, 0.113689861532965, 0.27923076923077, 0.183601575324229, 0.508461538461539, 0.709303260520221, 1.83865384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1110, '2022-10-23 00:00:00', 0.0601820954718646, 0.14173076923077, 0.065521869514044, 0.191346153846154, 0.113812936942092, 0.270769230769231, 0.193650358993888, 0.502692307692308, 0.726574179600086, 1.83903846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1125, '2022-10-23 00:00:00', 0.0492903485637755, 0.133461538461539, 0.0824007561578451, 0.19673076923077, 0.108032936573137, 0.256346153846154, 0.194021905979712, 0.4875, 1.06381391157549, 2.09596153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1140, '2022-10-23 00:00:00', 0.0628380090758409, 0.133846153846154, 0.0767503445244087, 0.181153846153846, 0.118395685992094, 0.246538461538462, 0.204582595695574, 0.485961538461539, 1.06113422626633, 2.10961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1155, '2022-10-23 00:00:00', 0.0621722173915699, 0.130769230769231, 0.0703846574190712, 0.175, 0.116887190849192, 0.246153846153846, 0.350430998365419, 0.778269230769231, 1.0759887939079, 2.12326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1170, '2022-10-23 00:00:00', 0.0332941436291736, 0.1125, 0.0792309185958266, 0.171538461538462, 0.0878775371665683, 0.222692307692308, 0.382657107001113, 0.822307692307693, 1.07578860162423, 2.12865384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1185, '2022-10-23 00:00:00', 0.0580692557343249, 0.115961538461538, 0.0684678475917429, 0.160384615384615, 0.122082569788459, 0.231923076923077, 0.381386993041895, 0.820961538461539, 1.07784528645741, 2.12769230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1200, '2022-10-23 00:00:00', 0.0413321443170588, 0.107884615384615, 0.0552355097601311, 0.145192307692308, 0.131708448417766, 0.238653846153846, 0.407967381803233, 0.839230769230769, 1.08222527158699, 2.13653846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1215, '2022-10-23 00:00:00', 0.0430563137512506, 0.0996153846153848, 0.124899959967967, 0.175, 0.132889196180647, 0.251538461538461, 0.440161377748592, 0.849038461538461, 1.06973578693346, 2.14557692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1230, '2022-10-23 00:00:00', 0.116914334187308, 0.129807692307693, 0.118075595081483, 0.169615384615385, 0.125263568280892, 0.249807692307692, 0.468630410385905, 0.852307692307693, 1.06855151778183, 2.13788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1245, '2022-10-23 00:00:00', 0.0828847670889209, 0.10826923076923, 0.0954287893989745, 0.169423076923076, 0.119260058437272, 0.229807692307692, 0.48189836943233, 0.855961538461538, 1.05322356820164, 2.13673076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1260, '2022-10-23 00:00:00', 0.0500415212214202, 0.116923076923076, 0.0725152503854296, 0.162692307692307, 0.103459579621148, 0.221730769230769, 0.483036389774263, 0.858076923076923, 1.04656575742539, 2.13326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1275, '2022-10-23 00:00:00', 0.0412534380851607, 0.110384615384616, 0.0547483754588635, 0.150769230769231, 0.0989770758229481, 0.222307692307692, 0.478077761618176, 0.862115384615385, 1.04211013739505, 2.13346153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1290, '2022-10-23 00:00:00', 0.0500065380340794, 0.0955769230769232, 0.0978192996530609, 0.148846153846154, 0.115300276869372, 0.216923076923077, 0.475899835938355, 0.864423076923077, 1.04110968904116, 2.13076923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1305, '2022-10-23 00:00:00', 0.0655218695140434, 0.103653846153846, 0.0681110518536848, 0.148653846153846, 0.102484708052545, 0.216346153846154, 0.470786085671123, 0.868461538461538, 1.04162596638436, 2.13057692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1320, '2022-10-23 00:00:00', 0.0403255979020005, 0.101923076923077, 0.0677520933539779, 0.152884615384616, 0.101816010528797, 0.2325, 0.468532775308688, 0.869807692307693, 1.05321443868101, 2.13442307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1335, '2022-10-23 00:00:00', 0.0614328902136307, 0.11, 0.0837845221615915, 0.164615384615384, 0.300386673882438, 0.626923076923077, 0.47073449155385, 0.869807692307692, 1.07389379578028, 2.13326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1350, '2022-10-23 00:00:00', 0.0560346733316495, 0.113269230769231, 0.0821885730406702, 0.164807692307692, 0.335009529141164, 0.665769230769231, 0.457516077901598, 0.870192307692308, 1.07936692627598, 2.13519230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 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 515840218072458300, 5, 1365, '2022-10-23 00:00:00', 0.0517702022997199, 0.113076923076923, 0.281850205714912, 0.588461538461538, 0.32056224644545, 0.678076923076923, 0.435296892494518, 0.859230769230769, 1.06864509831555, 2.12711538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840218072458300 and enddate = '2022-10-23 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2022-10-23 14:59:20 Duration: 3s318ms 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 515840217996281300, 1, 990, '2022-10-23 00:00:00', 0.813686396560776, 2.24386363636364, 0.933803868326834, 2.98795454545455, 1.23020176168744, 3.41522727272727, 1.67258026098518, 4.86340909090909, 5.82931395074614, 14.2502272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1005, '2022-10-23 00:00:00', 0.701641859285276, 1.75181818181819, 0.864545272463231, 2.29136363636363, 1.29913699293297, 2.89045454545454, 1.53028722935565, 4.49136363636364, 5.94956219059354, 14.1554545454545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1020, '2022-10-23 00:00:00', 0.671002512882301, 1.50409090909091, 0.865582530370804, 2.05545454545454, 1.08793752705317, 2.80659090909091, 1.50653333677195, 4.45113636363637, 5.94351822361628, 14.1377272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1035, '2022-10-23 00:00:00', 0.756721289768965, 1.41840909090909, 0.972817348258957, 1.94545454545454, 0.93609844729617, 2.63772727272727, 1.37550038120726, 4.27818181818182, 6.00584936735651, 14.1013636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1050, '2022-10-23 00:00:00', 0.432797954320571, 1.20045454545454, 0.692945318395117, 1.8125, 0.941442230849019, 2.47704545454545, 1.50706900323757, 4.07386363636363, 6.0590423821545, 14.0272727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1065, '2022-10-23 00:00:00', 0.465481410716843, 1.18409090909091, 0.586123121752424, 1.63386363636364, 0.89741680751306, 2.27045454545455, 1.59080537540714, 4.06113636363636, 6.14712499230296, 14.1086363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1080, '2022-10-23 00:00:00', 0.465473505600033, 1.24181818181819, 0.657050382868548, 1.73659090909091, 0.813148708730958, 2.33818181818182, 1.63321604292181, 4.14250000000001, 6.20178513000098, 14.1456818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1095, '2022-10-23 00:00:00', 0.488536997850111, 1.16727272727273, 0.505080090944395, 1.60977272727273, 0.801299404673894, 2.24454545454546, 1.44068037978934, 3.89636363636364, 6.25201113962885, 14.0936363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1110, '2022-10-23 00:00:00', 0.460613944239323, 1.1484090909091, 0.636114294843213, 1.55659090909091, 0.84380874815517, 2.13681818181818, 1.59185290494934, 3.85363636363637, 6.19402181761222, 14.1459090909091 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1125, '2022-10-23 00:00:00', 0.370416943620573, 1.01704545454546, 0.613104194445573, 1.5959090909091, 0.84440868549449, 1.99886363636364, 1.76059077304463, 3.94181818181819, 6.10166292711998, 15.01 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1140, '2022-10-23 00:00:00', 0.55343579542136, 1.14568181818182, 0.693099920646364, 1.4325, 0.751969851795041, 1.77590909090909, 1.77833098524251, 3.93704545454546, 6.20309672087832, 15.2225 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1155, '2022-10-23 00:00:00', 0.415063821828007, 0.807500000000001, 0.431454301001635, 1.17863636363636, 0.637835600485541, 1.72840909090909, 2.19437573092779, 5.30090909090909, 6.23246032384576, 15.3704545454546 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1170, '2022-10-23 00:00:00', 0.392841587649543, 0.924318181818182, 0.496841539277378, 1.27909090909091, 0.723537336325006, 1.80590909090909, 2.51345045127126, 5.90386363636364, 6.37797787591916, 15.4725 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1185, '2022-10-23 00:00:00', 0.366650334150221, 0.810909090909091, 0.501259668646163, 1.19727272727272, 0.798986946509544, 1.80295454545455, 2.67337280079578, 6.27431818181818, 6.35966824140164, 15.5770454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1200, '2022-10-23 00:00:00', 0.450652725264011, 0.925454545454545, 0.569509595752071, 1.24568181818182, 0.983617346540613, 1.99568181818183, 2.66850133045674, 6.37772727272728, 6.35867648702673, 15.585 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1215, '2022-10-23 00:00:00', 0.288672229083712, 0.794318181818179, 0.521722142051205, 1.24522727272727, 0.815337585781433, 1.86704545454546, 2.5306671112848, 6.54386363636364, 6.23973751390427, 15.6713636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1230, '2022-10-23 00:00:00', 0.368082738793061, 0.902954545454542, 0.711501407761612, 1.36840909090909, 0.717720809349399, 1.78272727272727, 2.47660049261079, 6.56000000000001, 6.20063739566781, 15.7027272727273 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1245, '2022-10-23 00:00:00', 0.522966531918147, 0.920227272727273, 0.548004249991415, 1.23909090909091, 0.597373580605301, 1.76863636363636, 2.51526938648331, 6.54909090909092, 6.19583318995508, 15.6968181818182 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1260, '2022-10-23 00:00:00', 0.411201452087824, 0.846590909090915, 0.555712219974124, 1.2375, 0.735255352173952, 1.74136363636365, 2.50084353734264, 6.67772727272728, 6.16546930431287, 15.6988636363636 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1275, '2022-10-23 00:00:00', 0.38009489872219, 0.789318181818185, 0.443716166931668, 1.13431818181819, 0.828751114081256, 1.89613636363638, 2.46568299679676, 6.68045454545455, 6.1455906350201, 15.7615909090909 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1290, '2022-10-23 00:00:00', 0.294988443533277, 0.784090909090909, 0.458149687726228, 1.20477272727273, 1.17167049225635, 1.96613636363637, 2.45465231048473, 6.76181818181819, 6.11711834531991, 15.7797727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1305, '2022-10-23 00:00:00', 0.450224631283896, 0.986136363636368, 0.816335519044521, 1.58681818181819, 1.36631271812969, 2.11840909090909, 2.44881833858931, 6.83272727272728, 6.15140753962984, 15.8786363636364 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1320, '2022-10-23 00:00:00', 0.683364678301259, 1.07704545454546, 1.06371958271404, 1.48772727272727, 1.39121299342466, 2.12954545454545, 2.44500937285184, 6.89250000000001, 6.17855655416973, 15.9020454545455 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1335, '2022-10-23 00:00:00', 0.600233179797539, 1.04318181818182, 0.85100987246348, 1.40022727272727, 1.97339336810516, 4.26636363636363, 2.49788764655363, 6.78386363636364, 6.17798520040019, 15.9147727272727 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1350, '2022-10-23 00:00:00', 0.404297263231254, 0.909090909090904, 0.488960820498623, 1.45227272727272, 2.23632646556939, 4.88681818181818, 2.50921950447645, 6.75295454545455, 6.1829336051237, 15.9231818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 1, 1365, '2022-10-23 00:00:00', 0.51049398875414, 1.27272727272728, 1.99103245259155, 4.14431818181818, 2.49458231154855, 5.33863636363637, 2.54289422488648, 6.7259090909091, 6.15698505676094, 15.9456818181818 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 990, '2022-10-23 00:00:00', 0.899020321495322, 1.99653846153846, 1.13682501528802, 2.95365384615385, 1.5308465355432, 3.82865384615385, 1.8269867163005, 5.55230769230769, 5.44358803123879, 15.5255769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1005, '2022-10-23 00:00:00', 0.817430401648032, 1.93769230769231, 1.12360431373601, 2.71942307692308, 1.22931082944251, 3.43634615384616, 1.42318240357523, 5.00692307692308, 5.41211475800784, 15.3030769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1020, '2022-10-23 00:00:00', 0.50499996191927, 1.66980769230769, 0.599921661552574, 2.065, 1.03170070570581, 2.96711538461539, 1.33624434948795, 4.53019230769231, 5.39645979751113, 14.9978846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1035, '2022-10-23 00:00:00', 0.476714113650776, 1.25211538461539, 0.741158552537852, 1.945, 1.38255339304325, 2.70826923076924, 1.31793719939096, 4.2323076923077, 5.46257440364748, 14.9413461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1050, '2022-10-23 00:00:00', 0.519832813360367, 1.38307692307692, 0.744333672074976, 1.86615384615384, 1.03426696449522, 2.47192307692307, 1.30102350241883, 3.93807692307692, 5.50734131375148, 14.8421153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1065, '2022-10-23 00:00:00', 0.53053430977285, 1.11057692307692, 0.884896691058422, 1.66307692307693, 0.994166929954615, 2.25826923076923, 1.44949349243637, 3.91923076923077, 5.55637003807342, 14.835 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1080, '2022-10-23 00:00:00', 0.629130321585648, 1.16519230769231, 0.735937732524872, 1.61288461538461, 0.926384701614087, 2.27884615384615, 1.43630583844057, 3.91230769230769, 5.58209005522263, 14.8707692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1095, '2022-10-23 00:00:00', 0.419214329247173, 1.06057692307692, 0.690896546858893, 1.54096153846154, 0.926429228481384, 2.22634615384615, 1.42747124449012, 3.94307692307692, 5.5930889532048, 14.9309615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1110, '2022-10-23 00:00:00', 0.450634595278188, 1.10153846153847, 0.577389083587623, 1.57307692307692, 0.910002451391462, 2.23730769230769, 1.27034568281479, 3.83307692307692, 5.54799471742858, 15.0657692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1125, '2022-10-23 00:00:00', 0.404171564865904, 0.970576923076921, 0.615537694902718, 1.50442307692307, 0.756105507493199, 1.98153846153846, 1.30815914404702, 3.87211538461538, 6.19459825480729, 15.7615384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1140, '2022-10-23 00:00:00', 0.499121073642298, 1.07538461538461, 0.644034548762719, 1.5725, 0.617769685736828, 1.80423076923077, 1.32599930386337, 3.84192307692307, 6.28463924672995, 15.9973076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1155, '2022-10-23 00:00:00', 0.282010706288857, 1.03096153846155, 0.377032338951696, 1.30923076923077, 0.495954247269458, 1.68115384615385, 3.43619583931909, 5.91961538461539, 6.34893697037907, 16.1594230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1170, '2022-10-23 00:00:00', 0.296732980200146, 0.852692307692307, 0.345546890951361, 1.06942307692308, 0.605674734998405, 1.77326923076923, 3.57227072796088, 6.21192307692307, 6.38204345138645, 16.1488461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1185, '2022-10-23 00:00:00', 0.340571013717574, 0.766153846153848, 0.457853016387777, 1.22076923076923, 1.04777282109024, 1.98673076923077, 3.5776532058793, 6.35730769230769, 6.47322192099587, 16.2359615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1200, '2022-10-23 00:00:00', 0.394573771984984, 0.967692307692307, 0.535570867249291, 1.37307692307692, 1.15285406708743, 2.0075, 3.48568020069806, 6.5526923076923, 6.48603753932541, 16.3198076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1215, '2022-10-23 00:00:00', 0.397665882175169, 0.846923076923077, 0.997182280227645, 1.3825, 1.00658898494639, 1.94923076923077, 3.38842889052638, 6.59211538461538, 6.57475056268589, 16.3098076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1230, '2022-10-23 00:00:00', 0.641531730733927, 0.970192307692307, 0.69740135778916, 1.29942307692308, 0.726381468968987, 1.78403846153847, 3.41427548908763, 6.63865384615385, 6.60794948120473, 16.2621153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1245, '2022-10-23 00:00:00', 0.353780081623954, 0.792884615384619, 0.46272088280584, 1.30884615384616, 0.646805195973607, 1.85480769230769, 3.54639336292738, 6.71173076923077, 6.61227678989271, 16.2421153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1260, '2022-10-23 00:00:00', 0.425951107703512, 0.952115384615384, 0.566633140033844, 1.32365384615385, 0.783849475345874, 2.08, 3.75628548108162, 6.72384615384615, 6.62471606648454, 16.2001923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1275, '2022-10-23 00:00:00', 0.425272084851388, 0.862884615384619, 0.601979938331707, 1.30461538461539, 0.847083230857516, 2.115, 3.75946784286532, 6.70730769230769, 6.61519459566092, 16.2265384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1290, '2022-10-23 00:00:00', 0.518696776695061, 0.952115384615381, 0.786330743683303, 1.58403846153846, 0.81308756269874, 2.11576923076923, 3.76694575832382, 6.58788461538462, 6.65969923379542, 16.1232692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1305, '2022-10-23 00:00:00', 0.516826745259356, 1.06173076923076, 0.58907597133137, 1.5125, 0.951368164600531, 2.33076923076923, 3.8468224699594, 6.58865384615385, 6.70229796413141, 16.08 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1320, '2022-10-23 00:00:00', 0.399902920911872, 0.987884615384615, 0.628564910056111, 1.41038461538461, 0.972175593509416, 2.17923076923076, 4.06374679802538, 6.52596153846154, 6.75211225070746, 16.0396153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1335, '2022-10-23 00:00:00', 0.395067082911248, 1.025, 0.73510417890674, 1.67192307692307, 3.48200791431964, 4.74134615384615, 4.09341756782952, 6.55923076923077, 6.65824604993976, 16.0723076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1350, '2022-10-23 00:00:00', 0.441617307353146, 1.07538461538462, 0.538159863294847, 1.48403846153846, 3.45099850099158, 4.98557692307692, 4.03621064194546, 6.43788461538461, 6.63489853843934, 15.9588461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 2, 1365, '2022-10-23 00:00:00', 0.457718758123866, 1.2126923076923, 3.39699022892098, 4.38115384615384, 3.42143726546877, 5.1401923076923, 4.05569696182466, 6.46461538461538, 6.56090393924495, 15.9975 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 990, '2022-10-23 00:00:00', 1.21988361676905, 2.19596153846154, 1.56225577783685, 3.02134615384615, 1.71331173911364, 3.70634615384615, 2.36525984911724, 5.06807692307693, 6.08406974116706, 14.9961538461538 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1005, '2022-10-23 00:00:00', 0.876494240623495, 1.87307692307692, 1.37787954424961, 2.61596153846154, 1.5343129256596, 3.38307692307693, 2.29398656189478, 4.78711538461539, 5.93585082035747, 14.7751923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1020, '2022-10-23 00:00:00', 0.912589805907426, 1.77192307692309, 1.16716665476701, 2.43500000000001, 1.43974463547693, 2.96384615384616, 2.28007025026726, 4.61288461538462, 5.87406212481225, 14.5746153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1035, '2022-10-23 00:00:00', 0.819206863139824, 1.54673076923077, 0.98028208263665, 2.10519230769231, 1.50205213470925, 2.67615384615384, 2.10372732402422, 4.71942307692308, 5.89540199255709, 14.4005769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1050, '2022-10-23 00:00:00', 0.581885297975463, 1.3875, 0.943047514913541, 1.76115384615384, 1.2790306425631, 2.43423076923077, 1.74601547486313, 4.45096153846154, 5.86016314094254, 14.3640384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1065, '2022-10-23 00:00:00', 0.520753891377317, 1.10884615384615, 0.66459611795436, 1.66, 0.839888385441781, 2.1925, 1.55836409540458, 4.56942307692308, 5.99665122252539, 14.3567307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1080, '2022-10-23 00:00:00', 0.447305780801527, 1.22230769230769, 0.63959085479583, 1.64769230769231, 0.72171696988182, 2.17423076923077, 1.76137853573667, 4.64288461538462, 6.08302790557465, 14.3325 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1095, '2022-10-23 00:00:00', 0.584852413993346, 1.17788461538461, 0.641831633805811, 1.60538461538462, 0.818571856720827, 2.21173076923077, 1.91709941157107, 4.60192307692308, 6.20789521186838, 14.3151923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1110, '2022-10-23 00:00:00', 0.408213226710668, 1.04903846153847, 0.744464908508118, 1.49000000000001, 1.05047915806953, 2.20269230769232, 2.10696949705933, 4.62230769230769, 6.28558479012463, 14.3130769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1125, '2022-10-23 00:00:00', 0.497411917212098, 0.97884615384616, 0.635885693646758, 1.46384615384615, 0.97984488568344, 2.15000000000001, 2.28661319086009, 4.68326923076923, 6.32775792411133, 14.9678846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1140, '2022-10-23 00:00:00', 0.493178856618352, 0.944230769230764, 0.891547832963299, 1.43653846153846, 1.00900567963638, 2.0126923076923, 2.47311211603144, 4.66653846153846, 6.19405508097513, 15.3378846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1155, '2022-10-23 00:00:00', 0.703812037844897, 1.05423076923077, 0.791359200752341, 1.47923076923077, 1.01676023949375, 2.06576923076923, 3.07608027928651, 6.30326923076923, 6.1225054951761, 15.5034615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1170, '2022-10-23 00:00:00', 0.349379504924861, 0.900961538461538, 0.477900214882365, 1.28115384615385, 0.832432302629786, 1.83653846153846, 2.99265542620596, 6.3925, 5.97428996746765, 15.6788461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1185, '2022-10-23 00:00:00', 0.331823922260913, 0.858653846153841, 0.668027780398844, 1.33134615384615, 0.627316537691726, 1.66903846153846, 2.92574432344212, 6.58538461538462, 5.90813509884074, 15.8078846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1200, '2022-10-23 00:00:00', 0.524816194930695, 0.944038461538463, 0.506047922631835, 1.2325, 0.67515368620781, 1.6825, 2.86516953451946, 6.72230769230769, 5.85381675950368, 15.8805769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1215, '2022-10-23 00:00:00', 0.36149460044909, 0.817884615384614, 0.520099842485886, 1.18461538461538, 1.14676387483012, 2.25923076923077, 3.03603689675562, 6.94596153846153, 5.87200477166542, 15.8690384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1230, '2022-10-23 00:00:00', 0.378327086811635, 0.829230769230766, 0.578392068250746, 1.20923076923076, 1.26314662039503, 2.29576923076923, 3.0796311717227, 7.13192307692308, 5.85587993781924, 15.8853846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1245, '2022-10-23 00:00:00', 0.484394467350736, 0.864999999999998, 1.21051751488616, 1.82057692307692, 1.75160455011969, 2.5975, 3.13282178652949, 7.27788461538461, 5.84452655185898, 15.9088461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1260, '2022-10-23 00:00:00', 1.27334930853182, 1.5726923076923, 1.32607432498507, 1.92865384615384, 2.03059991135625, 2.745, 3.26724937241381, 7.41730769230769, 5.8377484068379, 15.9326923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1275, '2022-10-23 00:00:00', 0.613232920988927, 1.14384615384616, 1.5998314334281, 2.06384615384616, 2.01635837969956, 2.72134615384615, 3.41509024545697, 7.40923076923077, 5.80484232874058, 15.8473076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1290, '2022-10-23 00:00:00', 1.67941492788411, 1.64750000000001, 2.02306846152077, 2.12, 2.16723710143726, 2.67942307692308, 3.46282492504868, 7.36230769230769, 5.7919115118878, 15.8901923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1305, '2022-10-23 00:00:00', 0.980130152267865, 1.25634615384615, 1.17845146109369, 1.70961538461538, 1.82849514628833, 2.37249999999999, 3.42682411840198, 7.21153846153846, 5.78403500694268, 15.7451923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1320, '2022-10-23 00:00:00', 0.679469929147268, 1.14423076923076, 0.947274572330863, 1.56634615384616, 1.48522928817793, 2.40903846153846, 3.34383299753211, 7.06865384615385, 5.80213163746407, 15.7134615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1335, '2022-10-23 00:00:00', 0.765573214104205, 1.13288461538462, 1.12719756305354, 1.60211538461538, 2.64803826517785, 4.70942307692308, 3.34197970462925, 6.99711538461539, 5.87916438659571, 15.5932692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1350, '2022-10-23 00:00:00', 0.614140957260315, 1.13634615384615, 0.812983394664366, 1.79, 2.64724582567212, 4.90230769230769, 3.42646204617038, 6.86192307692308, 5.93489254649665, 15.5315384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 3, 1365, '2022-10-23 00:00:00', 0.444467226446018, 1.33134615384615, 2.54654930928411, 4.18076923076923, 2.75276185787181, 5.19461538461539, 3.31538253971021, 6.78423076923077, 5.95016698214299, 15.5436538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 990, '2022-10-23 00:00:00', 0.93363903418497, 2.19961538461539, 1.02740968160036, 3.00557692307692, 1.41442922709535, 3.93903846153845, 2.75207122699641, 5.86403846153847, 5.63467660665086, 15.2626923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1005, '2022-10-23 00:00:00', 0.599959133223642, 1.84480769230768, 1.03703840519345, 2.82442307692307, 1.33126968024457, 3.53980769230769, 2.85351718869079, 5.53711538461538, 5.60028768491818, 15.0119230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1020, '2022-10-23 00:00:00', 0.692387869288925, 1.91019230769231, 0.962013773290173, 2.39749999999999, 1.25486579116899, 3.20307692307692, 2.67713110652774, 5.25480769230769, 5.37888723121742, 14.7946153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1035, '2022-10-23 00:00:00', 0.665098026320469, 1.49923076923076, 0.835539438833471, 2.06307692307692, 1.19928581311481, 2.9726923076923, 2.6158774744889, 4.89980769230769, 5.34106205586636, 14.5882692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1050, '2022-10-23 00:00:00', 0.605893269352086, 1.38057692307692, 0.869070259176219, 2.04134615384616, 1.43504994552589, 3.01288461538462, 2.65336804834911, 4.735, 5.38559542097822, 14.4909615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1065, '2022-10-23 00:00:00', 0.771415905980688, 1.3225, 1.01940382275434, 1.97307692307692, 1.72814788585486, 2.74134615384615, 2.56222287056796, 4.52096153846154, 5.44670551448658, 14.3948076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1080, '2022-10-23 00:00:00', 0.594966838119183, 1.38346153846153, 1.1733856340325, 1.90461538461539, 1.59863884409399, 2.57192307692308, 2.4903519059331, 4.44384615384616, 5.52348591157655, 14.3161538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1095, '2022-10-23 00:00:00', 0.800502654586481, 1.21250000000001, 1.18205238722903, 1.84961538461539, 1.43937919310321, 2.57769230769231, 2.10189417321249, 4.47134615384616, 5.52394516209622, 14.3069230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1110, '2022-10-23 00:00:00', 0.824966875791898, 1.27711538461539, 0.960278585379504, 1.7348076923077, 1.20465532893789, 2.39730769230769, 1.88590125363485, 4.32153846153847, 5.53418371438963, 14.2292307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1125, '2022-10-23 00:00:00', 0.552298031306118, 1.07865384615385, 0.930396131515206, 1.65519230769231, 1.10903292938557, 2.21903846153846, 1.64340899212113, 4.17365384615386, 5.52578360610859, 14.5523076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1140, '2022-10-23 00:00:00', 0.71240850964555, 1.23826923076923, 0.839332449949642, 1.66980769230769, 1.13249438782783, 2.16346153846154, 1.58884690892482, 4.21750000000001, 5.43872182735839, 14.5436538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1155, '2022-10-23 00:00:00', 0.41146628051397, 1.0725, 0.723184304628859, 1.46846153846154, 1.11505648356415, 2.10480769230769, 2.87715829355179, 6.30538461538462, 5.49544235288172, 14.5305769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1170, '2022-10-23 00:00:00', 0.518203999034537, 0.914230769230771, 0.618798867534143, 1.25596153846154, 0.927726169811896, 1.96461538461539, 3.1040220124616, 6.51442307692308, 5.57408109018877, 14.545 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1185, '2022-10-23 00:00:00', 0.303632178795327, 0.882500000000005, 0.628245052629818, 1.46961538461539, 0.861679844168441, 1.98192307692307, 3.25731146806688, 6.785, 5.53849978645981, 14.6132692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1200, '2022-10-23 00:00:00', 0.520182512349127, 1.10461538461538, 0.620651797585541, 1.43942307692308, 0.928466663997072, 2.00711538461538, 3.37908954510622, 7.01307692307692, 5.50950806473542, 14.6586538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1215, '2022-10-23 00:00:00', 0.438951723296104, 0.843846153846155, 0.625661619038967, 1.3076923076923, 0.756563510984933, 1.85288461538461, 3.38480703347268, 7.12557692307693, 5.52018374833525, 14.5988461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1230, '2022-10-23 00:00:00', 0.37987811810551, 0.924230769230764, 0.647428641746607, 1.34538461538461, 0.681288146426707, 1.71346153846154, 3.27999669910716, 7.01288461538462, 5.45538425636686, 14.5042307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1245, '2022-10-23 00:00:00', 0.470137623058818, 0.915769230769222, 0.459334175318349, 1.14173076923077, 0.631411026681817, 1.61326923076923, 3.25343570469978, 7.10326923076923, 5.48171838933742, 14.4825 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1260, '2022-10-23 00:00:00', 0.264640249279017, 0.782692307692307, 0.439756226177105, 1.10153846153846, 0.612976376756512, 1.68403846153847, 3.12662320304928, 7.15557692307693, 5.47055412746629, 14.4573076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1275, '2022-10-23 00:00:00', 0.396935181687808, 0.838461538461539, 0.453744294306148, 1.24173076923077, 0.815337141215917, 1.99057692307693, 3.08436773847637, 7.13788461538462, 5.46124211005293, 14.4807692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1290, '2022-10-23 00:00:00', 0.273132047523931, 0.856346153846157, 0.503280354657944, 1.28134615384615, 0.851642508062191, 1.97480769230769, 2.93991086337926, 7.04673076923078, 5.35541221928449, 14.4509615384616 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1305, '2022-10-23 00:00:00', 0.353508350461708, 0.908076923076924, 0.659919342390816, 1.47153846153846, 0.87027159774759, 2.01442307692308, 2.85668008628628, 7.18365384615385, 5.22724457493179, 14.4603846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1320, '2022-10-23 00:00:00', 0.390567092630894, 1.11442307692308, 0.647964534879443, 1.45096153846154, 0.960278104749636, 2.28403846153847, 2.70675767577828, 7.10365384615385, 5.08983067951714, 14.3928846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1335, '2022-10-23 00:00:00', 0.523135259756015, 1.03250000000001, 0.631445868317612, 1.43173076923078, 2.32742902064786, 4.88038461538462, 2.7359397555783, 7.08288461538462, 5.02401814747458, 14.3621153846154 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1350, '2022-10-23 00:00:00', 0.40558428887793, 1.01615384615385, 0.686734412889119, 1.81807692307693, 2.36241568022096, 5.22461538461539, 2.64795779073959, 6.9973076923077, 4.92228808583975, 14.28 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 4, 1365, '2022-10-23 00:00:00', 0.691261416653531, 1.47788461538462, 2.20044912373675, 4.50788461538461, 2.30558333182733, 5.4775, 2.59724267993222, 6.93846153846154, 4.84081487100928, 14.2211538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 990, '2022-10-23 00:00:00', 0.832270689139058, 2.0675, 0.938515296379593, 2.7798076923077, 1.3704611941297, 3.82173076923077, 2.01954622664065, 5.4398076923077, 4.0493262545002, 13.4236538461539 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1005, '2022-10-23 00:00:00', 0.483021579387346, 1.81961538461538, 0.789761916412399, 2.65326923076923, 1.25932735403285, 3.58576923076923, 1.98772700687146, 5.10057692307693, 3.9787354823438, 13.2659615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1020, '2022-10-23 00:00:00', 0.73132850663391, 1.71576923076923, 1.07405206864186, 2.37961538461538, 1.30159453984483, 2.97788461538461, 2.15118568379251, 4.70038461538462, 3.88391553520612, 13.1267307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1035, '2022-10-23 00:00:00', 0.821833035635299, 1.53346153846153, 1.12586276319028, 2.12480769230769, 1.35080285243771, 2.84211538461538, 2.10832964325207, 4.54826923076923, 3.98222877776523, 13.2409615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1050, '2022-10-23 00:00:00', 0.442479204204956, 1.24461538461539, 0.952388656928549, 1.79307692307693, 1.19189624290295, 2.63557692307693, 1.99668525311327, 4.28000000000001, 3.87618808089359, 13.1359615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1065, '2022-10-23 00:00:00', 0.759949315111515, 1.27519230769231, 0.822730912173691, 1.91192307692307, 1.01261590029905, 2.4448076923077, 1.94253598125273, 4.16596153846154, 3.86870101435373, 13.1434615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1080, '2022-10-23 00:00:00', 0.510585787261891, 1.30961538461538, 0.738136869734567, 1.80596153846154, 0.814294149271909, 2.2898076923077, 1.76882869762407, 4.05980769230769, 3.92654506581119, 13.1619230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1095, '2022-10-23 00:00:00', 0.427037018752026, 1.09115384615385, 0.633163607487158, 1.51807692307692, 0.925970114985444, 2.15942307692308, 1.81644649924389, 3.99826923076923, 4.01913641700074, 13.1315384615385 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1110, '2022-10-23 00:00:00', 0.561897335270974, 1.02384615384615, 0.641581369622091, 1.49942307692308, 0.826253267187768, 2.03730769230769, 1.8204528599732, 3.95115384615385, 4.07949732951727, 13.2526923076923 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1125, '2022-10-23 00:00:00', 0.328607083588612, 0.978846153846148, 0.586241385044127, 1.44980769230769, 0.927532292616349, 1.92192307692307, 1.88075516747927, 3.835, 4.94462339314128, 14.2125 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1140, '2022-10-23 00:00:00', 0.550359078588347, 1.03634615384615, 0.537016258169583, 1.36230769230769, 0.922141591830998, 1.85365384615385, 1.82116881319494, 4.01461538461539, 5.00812466436751, 14.2594230769231 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1155, '2022-10-23 00:00:00', 0.360292402618506, 0.908846153846152, 0.65606050377643, 1.29923076923076, 0.92260177674961, 1.82903846153846, 2.4586264145156, 5.90038461538462, 5.31346012500329, 14.2525 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1170, '2022-10-23 00:00:00', 0.461708407814016, 0.884423076923074, 0.587432091001554, 1.24730769230769, 0.823582044859759, 1.69076923076923, 2.58987216791753, 6.25038461538462, 5.33580078699173, 14.3459615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1185, '2022-10-23 00:00:00', 0.358452013739424, 0.859615384615383, 0.521197290269833, 1.20384615384616, 0.647508598101506, 1.67576923076923, 2.71958639389267, 6.31692307692308, 5.38951371075921, 14.4309615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1200, '2022-10-23 00:00:00', 0.367149361767329, 0.820576923076926, 0.47515908267248, 1.15307692307693, 0.83388875849148, 1.75269230769231, 2.75873256852044, 6.24423076923077, 5.55796965211634, 14.5705769230769 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1215, '2022-10-23 00:00:00', 0.312138344574721, 0.792884615384617, 0.4318662987546, 1.19249999999999, 0.920039464036528, 1.71384615384615, 2.80223213912382, 6.29980769230769, 5.60405375255613, 14.6423076923077 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1230, '2022-10-23 00:00:00', 0.364451115219332, 0.821153846153837, 0.624762385600745, 1.15596153846153, 0.750353250142893, 1.64499999999999, 2.85861200854271, 6.29615384615384, 5.62681091875181, 14.6063461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1245, '2022-10-23 00:00:00', 0.466085168842965, 0.755769230769236, 0.62106871290851, 1.11788461538462, 0.679062475884096, 1.54538461538462, 2.90441732538559, 6.23499999999999, 5.61702433198877, 14.5278846153846 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1260, '2022-10-23 00:00:00', 0.388743983381584, 0.77326923076923, 0.462744654625655, 1.12615384615385, 0.598911063129132, 1.51269230769231, 2.87236131753328, 6.13846153846154, 5.56323516835857, 14.4784615384615 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1275, '2022-10-23 00:00:00', 0.350253314924197, 0.780769230769227, 0.384370214166582, 1.05269230769231, 0.691908870166717, 1.69173076923077, 2.95884603935646, 6.15326923076923, 5.56699003052817, 14.475 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1290, '2022-10-23 00:00:00', 0.294225515287435, 0.749423076923077, 0.410933646150406, 1.01269230769231, 0.706104808084472, 1.68999999999999, 2.93298661121023, 6.13730769230769, 5.50935675779082, 14.4982692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1305, '2022-10-23 00:00:00', 0.416590972611674, 0.794038461538463, 0.598424984052688, 1.33230769230769, 0.951721133202685, 1.88134615384615, 3.02424658131829, 6.22423076923077, 5.48798019451461, 14.4988461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1320, '2022-10-23 00:00:00', 0.474382392006866, 1.06442307692308, 0.525994186864638, 1.33673076923076, 1.1706289565213, 2.26307692307693, 3.03443357406034, 6.23634615384615, 5.51238520201415, 14.4688461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1335, '2022-10-23 00:00:00', 0.450675774638661, 0.935576923076922, 0.926346338289055, 1.45653846153846, 2.56732213824804, 4.77519230769231, 3.05509622786885, 6.15480769230769, 5.61837270787685, 14.4367307692308 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1350, '2022-10-23 00:00:00', 0.595173407180949, 1.09576923076923, 0.910920688095291, 1.8175, 2.50403766253318, 5.09615384615385, 2.87343372720086, 6.05423076923077, 5.63919649554657, 14.4013461538462 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 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 515840217996281300, 5, 1365, '2022-10-23 00:00:00', 0.560559507580121, 1.37980769230769, 2.28964647086368, 4.3548076923077, 2.32891315027815, 5.10230769230769, 2.66268687318194, 5.96076923076923, 5.74490447132199, 14.3857692307692 where not exists (select 1 from powerstats_trumpet where symbolid = 515840217996281300 and enddate = '2022-10-23 00:00:00' and dayofweek = 5 and fromtime = 1365);
Date: 2022-10-23 14:52:08 Duration: 3s190ms Database: acaweb_fx User: pgperfstats Remote: 192.168.3.100 Application: [unknown]
11 140ms 31s557ms 2s732ms 52 2m22s (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?))) union all (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ?))) union all (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)));Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Oct 23 14 52 2m22s 2s732ms [ User: postgres - Total duration: 2m22s - Times executed: 52 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2m22s - Times executed: 52 ]
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-10-23 14:19:35 Duration: 31s557ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-10-23 14:03:37 Duration: 28s169ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-10-23 14:08:52 Duration: 14s851ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
12 661ms 11s942ms 2s96ms 46 1m36s 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 #12
Day Hour Count Duration Avg duration Oct 23 14 46 1m36s 2s96ms [ User: postgres - Total duration: 1m36s - Times executed: 46 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m36s - Times executed: 46 ]
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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 = '558' 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 ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('80' = 0 OR s.symbol in ('AUDSGD', 'CHFSGD', 'EURDKK', 'EURHKD', 'EURNOK', 'EURPLN', 'EURSEK', 'EURSGD', 'EURTRY', 'EURZAR', 'GBPDKK', 'GBPNOK', 'GBPSEK', 'GBPSGD', 'NOKJPY', 'NOKSEK', 'SEKJPY', 'SGDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDTHB', 'USDTRY', 'USDZAR', 'AUDUSD', 'EURUSD', 'GBPUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDSGD', 'AUS200', 'DE30', 'ES35', 'F40', 'HK50', 'IT40', 'JP225', 'STOXX50', 'UK100', 'US2000', 'US30', 'US500', 'CHINA50', 'USTEC', 'XAGEUR', 'XAGUSD', 'XAUUSD', 'XAUEUR', 'XPDUSD', 'XPTUSD')) 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 ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-10-23 14:19:53 Duration: 11s942ms 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 = '529' 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 ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('31' = 0 OR s.symbol in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'JPN225', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'XAGUSD', 'XAUUSD')) 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 ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-10-23 14:20:40 Duration: 10s701ms 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 = '125' 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 ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) 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 ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-10-23 14:15:40 Duration: 8s844ms Database: acaweb_fx User: postgres Remote: 192.168.1.135 Application: PostgreSQL JDBC Driver Bind query: yes
13 375ms 9s548ms 2s59ms 45 1m32s with last_candle as ( select acs.symbolid as symbolid, acs.latestpricedatetime as latest_candle_time, bsl.brokerid as broker_id, coalesce(bim.code, s.symbol) as symbol, bim.code as symbol_mapping, s.exchange as exchange, s.timegranularity as timegranularity from autochartist_symbolupdates acs inner join brokersymbollist bsl on acs.symbolid = bsl.symbolid inner join symbols s on acs.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where bsl.brokerid = ? and s.deleted = ? and s.nonliquid = ? and acs.latestpricedatetime is not null ) select distinct on (brokerid, groupid, symbolid) * from ( select lc.broker_id as brokerid, prf.groupid, psp.symbolid, prf.longname, psd.hourlysymbolid, lc.symbol, lc.exchange, psp.enddate, psp.dayofweek, psp.fromtime, floor(psp.fromtime / ?) + ? as sast_hh, mod(cast(psp.fromtime as int), ?) as sast_mm, current_timestamp as datetime, (powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice as closingprice, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_15 + psp.stddev_15) / ?.?) as low_15, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_15 + psp.stddev_15) / ?.?) as high_15, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_30 + psp.stddev_30) / ?.?) as low_30, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_30 + psp.stddev_30) / ?.?) as high_30, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_60 + psp.stddev_60) / ?.?) as low_60, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_60 + psp.stddev_60) / ?.?) as high_60, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_240 + psp.stddev_240) / ?.?) as low_240, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_240 + psp.stddev_240) / ?.?) as high_240, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_1440 + psp.stddev_1440) / ?.?) as low_1440, ((powerstatslatestprfprice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_1440 + psp.stddev_1440) / ?.?) as high_1440, dtt.absolutetimezoneoffset as datafeedtimezoneoffset, dtt.timezone as datafeedtimezonename, (round((cast(? as float) - rank) / ? * ?)) as rank_rounded, ((cast(? as float) - rank) / ? * ?) as rank from last_candle lc inner join downloadersymbolsettings dss on lc.symbolid = dss.symbolid inner join datafeedstimetable dtt on trim(dss.classname) = trim(dtt.classname) inner join powerstats_symboldata psd on psd.symbolid = lc.symbolid left outer join powerstats_trumpet psp on psd.trumpetsymbolid = psp.symbolid and psp.dayofweek = ? and dtt.dayofweek = psp.dayofweek and psp.fromtime = cast(extract(? from lc.latest_candle_time at time zone ?) as integer) * ? + extract(? from (cast(extract(? from lc.latest_candle_time) as integer) / ?) * ? * interval ?) inner join prfsymboltree prf on psp.symbolid = prf.symbolid inner join mat_ps_daily_symbolid_max_enddate e on psp.enddate = e.enddate and psd.dailysymbolid = e.symbolid left join lateral ( select ph.hour, (ave + stddev) as volatility, rank() over (order by (ave + stddev) desc) as rank from powerstats_hourly ph where ph.symbolid = psd.hourlysymbolid and ph.enddate = psp.enddate) rank_query on true where prf.brokerid = ? and rank_query.hour = floor((psp.fromtime) / ?) and volatility > ? order by rank desc, rank_rounded desc, exchange, symbol, groupid) sub;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Oct 23 14 45 1m32s 2s59ms [ User: postgres - Total duration: 1m32s - Times executed: 45 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m32s - Times executed: 45 ]
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WITH last_candle AS ( SELECT acs.symbolid AS symbolid, acs.latestpricedatetime AS latest_candle_time, bsl.brokerid AS broker_id, coalesce(bim.code, s.symbol) AS symbol, bim.code AS symbol_mapping, s.exchange AS exchange, s.timegranularity AS timegranularity FROM autochartist_symbolupdates acs INNER JOIN brokersymbollist bsl ON acs.symbolid = bsl.symbolid INNER JOIN symbols s ON acs.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '529' AND s.deleted = 0 AND s.nonliquid = 0 AND acs.latestpricedatetime IS NOT NULL ) SELECT DISTINCT ON (brokerid, groupid, symbolid) * FROM ( SELECT lc.broker_id AS brokerid, prf.groupid, psp.symbolid, prf.longname, psd.hourlysymbolid, lc.symbol, lc.exchange, psp.enddate, psp.dayofweek, psp.fromtime, floor(psp.fromtime / 60) + 6 as SAST_HH, mod(cast(psp.fromtime as int), 60) as SAST_MM, current_timestamp AS datetime, (PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice AS closingprice, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_15 + psp.stddev_15) / 2.0) AS low_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_15 + psp.stddev_15) / 2.0) AS high_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_30 + psp.stddev_30) / 2.0) AS low_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_30 + psp.stddev_30) / 2.0) AS high_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_60 + psp.stddev_60) / 2.0) AS low_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_60 + psp.stddev_60) / 2.0) AS high_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_240 + psp.stddev_240) / 2.0) AS low_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_240 + psp.stddev_240) / 2.0) AS high_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_1440 + psp.stddev_1440) / 2.0) AS low_1440, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_1440 + psp.stddev_1440) / 2.0) AS high_1440, dtt.absolutetimezoneoffset AS datafeedtimezoneoffset, dtt.timezone AS datafeedtimezonename, (round((cast(25 as float) - rank) / 24 * 10)) as rank_rounded, ((cast(25 as float) - rank) / 24 * 10) as rank FROM last_candle lc INNER JOIN downloadersymbolsettings dss ON lc.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON TRIM(dss.classname) = TRIM(dtt.classname) INNER JOIN powerstats_symboldata psd ON psd.symbolid = lc.symbolid LEFT OUTER JOIN powerstats_trumpet psp ON psd.trumpetsymbolid = psp.symbolid AND psp.dayofweek = 1 and dtt.dayofweek = psp.dayofweek AND psp.fromtime = cast(extract('hour' from lc.latest_candle_time at time zone 'UTC') as integer) * 60 + extract('minute' from (cast(extract('minute' from lc.latest_candle_time) as integer) / 15) * 15 * interval '1 minutes') INNER JOIN prfsymboltree prf ON psp.symbolid = prf.symbolid INNER JOIN mat_ps_daily_symbolid_max_enddate e ON psp.enddate = e.enddate AND psd.dailysymbolid = e.symbolid LEFT JOIN LATERAL ( SELECT ph.hour, (ave + stddev) AS volatility, rank() over (ORDER BY (ave + stddev) DESC) AS rank FROM powerstats_hourly ph WHERE ph.symbolid = psd.hourlysymbolid AND ph.enddate = psp.enddate) rank_query ON true WHERE prf.brokerid = '529' AND rank_query.hour = floor((psp.fromtime) / 60) AND volatility > 0 ORDER BY rank DESC, rank_rounded DESC, exchange, symbol, groupid) sub;
Date: 2022-10-23 14:04:11 Duration: 9s548ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH last_candle AS ( SELECT acs.symbolid AS symbolid, acs.latestpricedatetime AS latest_candle_time, bsl.brokerid AS broker_id, coalesce(bim.code, s.symbol) AS symbol, bim.code AS symbol_mapping, s.exchange AS exchange, s.timegranularity AS timegranularity FROM autochartist_symbolupdates acs INNER JOIN brokersymbollist bsl ON acs.symbolid = bsl.symbolid INNER JOIN symbols s ON acs.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '529' AND s.deleted = 0 AND s.nonliquid = 0 AND acs.latestpricedatetime IS NOT NULL ) SELECT DISTINCT ON (brokerid, groupid, symbolid) * FROM ( SELECT lc.broker_id AS brokerid, prf.groupid, psp.symbolid, prf.longname, psd.hourlysymbolid, lc.symbol, lc.exchange, psp.enddate, psp.dayofweek, psp.fromtime, floor(psp.fromtime / 60) + 6 as SAST_HH, mod(cast(psp.fromtime as int), 60) as SAST_MM, current_timestamp AS datetime, (PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice AS closingprice, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_15 + psp.stddev_15) / 2.0) AS low_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_15 + psp.stddev_15) / 2.0) AS high_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_30 + psp.stddev_30) / 2.0) AS low_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_30 + psp.stddev_30) / 2.0) AS high_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_60 + psp.stddev_60) / 2.0) AS low_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_60 + psp.stddev_60) / 2.0) AS high_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_240 + psp.stddev_240) / 2.0) AS low_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_240 + psp.stddev_240) / 2.0) AS high_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_1440 + psp.stddev_1440) / 2.0) AS low_1440, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_1440 + psp.stddev_1440) / 2.0) AS high_1440, dtt.absolutetimezoneoffset AS datafeedtimezoneoffset, dtt.timezone AS datafeedtimezonename, (round((cast(25 as float) - rank) / 24 * 10)) as rank_rounded, ((cast(25 as float) - rank) / 24 * 10) as rank FROM last_candle lc INNER JOIN downloadersymbolsettings dss ON lc.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON TRIM(dss.classname) = TRIM(dtt.classname) INNER JOIN powerstats_symboldata psd ON psd.symbolid = lc.symbolid LEFT OUTER JOIN powerstats_trumpet psp ON psd.trumpetsymbolid = psp.symbolid AND psp.dayofweek = 1 and dtt.dayofweek = psp.dayofweek AND psp.fromtime = cast(extract('hour' from lc.latest_candle_time at time zone 'UTC') as integer) * 60 + extract('minute' from (cast(extract('minute' from lc.latest_candle_time) as integer) / 15) * 15 * interval '1 minutes') INNER JOIN prfsymboltree prf ON psp.symbolid = prf.symbolid INNER JOIN mat_ps_daily_symbolid_max_enddate e ON psp.enddate = e.enddate AND psd.dailysymbolid = e.symbolid LEFT JOIN LATERAL ( SELECT ph.hour, (ave + stddev) AS volatility, rank() over (ORDER BY (ave + stddev) DESC) AS rank FROM powerstats_hourly ph WHERE ph.symbolid = psd.hourlysymbolid AND ph.enddate = psp.enddate) rank_query ON true WHERE prf.brokerid = '529' AND rank_query.hour = floor((psp.fromtime) / 60) AND volatility > 0 ORDER BY rank DESC, rank_rounded DESC, exchange, symbol, groupid) sub;
Date: 2022-10-23 14:08:10 Duration: 8s878ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
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WITH last_candle AS ( SELECT acs.symbolid AS symbolid, acs.latestpricedatetime AS latest_candle_time, bsl.brokerid AS broker_id, coalesce(bim.code, s.symbol) AS symbol, bim.code AS symbol_mapping, s.exchange AS exchange, s.timegranularity AS timegranularity FROM autochartist_symbolupdates acs INNER JOIN brokersymbollist bsl ON acs.symbolid = bsl.symbolid INNER JOIN symbols s ON acs.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '529' AND s.deleted = 0 AND s.nonliquid = 0 AND acs.latestpricedatetime IS NOT NULL ) SELECT DISTINCT ON (brokerid, groupid, symbolid) * FROM ( SELECT lc.broker_id AS brokerid, prf.groupid, psp.symbolid, prf.longname, psd.hourlysymbolid, lc.symbol, lc.exchange, psp.enddate, psp.dayofweek, psp.fromtime, floor(psp.fromtime / 60) + 6 as SAST_HH, mod(cast(psp.fromtime as int), 60) as SAST_MM, current_timestamp AS datetime, (PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice AS closingprice, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_15 + psp.stddev_15) / 2.0) AS low_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_15 + psp.stddev_15) / 2.0) AS high_15, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_30 + psp.stddev_30) / 2.0) AS low_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_30 + psp.stddev_30) / 2.0) AS high_30, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_60 + psp.stddev_60) / 2.0) AS low_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_60 + psp.stddev_60) / 2.0) AS high_60, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_240 + psp.stddev_240) / 2.0) AS low_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_240 + psp.stddev_240) / 2.0) AS high_240, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice - (psp.ave_1440 + psp.stddev_1440) / 2.0) AS low_1440, ((PowerStatsLatestPRFPrice (cast(psp.symbolid as bigint), psd.trumpettimegranularity)).closingprice + (psp.ave_1440 + psp.stddev_1440) / 2.0) AS high_1440, dtt.absolutetimezoneoffset AS datafeedtimezoneoffset, dtt.timezone AS datafeedtimezonename, (round((cast(25 as float) - rank) / 24 * 10)) as rank_rounded, ((cast(25 as float) - rank) / 24 * 10) as rank FROM last_candle lc INNER JOIN downloadersymbolsettings dss ON lc.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON TRIM(dss.classname) = TRIM(dtt.classname) INNER JOIN powerstats_symboldata psd ON psd.symbolid = lc.symbolid LEFT OUTER JOIN powerstats_trumpet psp ON psd.trumpetsymbolid = psp.symbolid AND psp.dayofweek = 1 and dtt.dayofweek = psp.dayofweek AND psp.fromtime = cast(extract('hour' from lc.latest_candle_time at time zone 'UTC') as integer) * 60 + extract('minute' from (cast(extract('minute' from lc.latest_candle_time) as integer) / 15) * 15 * interval '1 minutes') INNER JOIN prfsymboltree prf ON psp.symbolid = prf.symbolid INNER JOIN mat_ps_daily_symbolid_max_enddate e ON psp.enddate = e.enddate AND psd.dailysymbolid = e.symbolid LEFT JOIN LATERAL ( SELECT ph.hour, (ave + stddev) AS volatility, rank() over (ORDER BY (ave + stddev) DESC) AS rank FROM powerstats_hourly ph WHERE ph.symbolid = psd.hourlysymbolid AND ph.enddate = psp.enddate) rank_query ON true WHERE prf.brokerid = '529' AND rank_query.hour = floor((psp.fromtime) / 60) AND volatility > 0 ORDER BY rank DESC, rank_rounded DESC, exchange, symbol, groupid) sub;
Date: 2022-10-23 14:12:08 Duration: 6s733ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver Bind query: yes
14 0ms 18s194ms 474ms 397 3m8s 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.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 #14
Day Hour Count Duration Avg duration Oct 23 14 397 3m8s 474ms [ User: postgres - Total duration: 3m8s - Times executed: 397 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 3m8s - Times executed: 397 ]
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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 & '3' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '0' 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: 2022-10-23 14:04:09 Duration: 18s194ms 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 = '1' AND patternlengthbars >= '20' AND a.PatternID & '3' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '0' 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: 2022-10-23 14:04:09 Duration: 18s142ms 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 & '3' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '1995966527' 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: 2022-10-23 14:08:27 Duration: 17s70ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
15 0ms 18s59ms 292ms 2,030 9m53s 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 #15
Day Hour Count Duration Avg duration Oct 23 14 2,030 9m53s 292ms [ User: postgres - Total duration: 9m53s - Times executed: 2030 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 9m53s - Times executed: 2030 ]
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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 = 566 AND sg.groupid = 515852059923228308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '689993823' 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: 2022-10-23 14:17:20 Duration: 18s59ms 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 = 566 AND sg.groupid = 515852059923228308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '689993823' 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: 2022-10-23 14:04:47 Duration: 14s235ms 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 = 566 AND sg.groupid = 515852059765687308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-1395780025' 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: 2022-10-23 14:04:45 Duration: 13s293ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
16 3ms 4s85ms 243ms 275 1m6s select * from ( select pricedatetime, open, high, low, close, volume, bsf from t15 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Oct 23 14 275 1m6s 243ms [ User: postgres - Total duration: 1m6s - Times executed: 275 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m6s - Times executed: 275 ]
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '515840243870885300' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-10-23 14:08:25 Duration: 4s85ms Database: acaweb_fx User: postgres Remote: 192.168.0.42 Application: PostgreSQL JDBC Driver Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '515840248268047300' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-10-23 14:04:35 Duration: 2s533ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '515840243185493300' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-10-23 14:08:32 Duration: 2s306ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
17 0ms 4s664ms 195ms 522 1m41s 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 Oct 23 14 522 1m41s 195ms [ User: postgres - Total duration: 1m41s - Times executed: 522 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m41s - Times executed: 522 ]
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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 = 515852059702019308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-948066473' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-10-23 14:17:19 Duration: 4s664ms 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 = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-948066473' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-10-23 14:17:19 Duration: 4s647ms 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 = 558 AND sg.groupid = 515852059702019308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-948066473' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-10-23 14:05:12 Duration: 4s535ms Database: acaweb_fx User: postgres Remote: 192.168.1.201 Application: PostgreSQL JDBC Driver Bind query: yes
18 0ms 10s317ms 176ms 388 1m8s select open as _open, high as _high, low as _low, close "..." _close, volume as _volume, pricedatetime as _pricedatetime from ( select open, high, low, close, volume, pricedatetime from t15 where pricedatetime >= current_timestamp - interval ? and symbolid = ? union all select open, high, low, close, volume, pricedatetime from t15_ps where pricedatetime >= current_timestamp - interval ? and symbolid = ? order by pricedatetime desc limit ?) a order by _pricedatetime asc;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Oct 23 14 388 1m8s 176ms [ User: postgres - Total duration: 1m8s - Times executed: 388 ]
[ Application: [unknown] - Total duration: 1m8s - Times executed: 388 ]
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select open as _open, high as _high, low as _low, close as _close, volume as _volume, pricedatetime as _pricedatetime FROM ( select open, high, low, close, volume, pricedatetime FROM T15 WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840221186843300 union all select open, high, low, close, volume, pricedatetime FROM T15_ps WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840221186843300 order by pricedatetime desc limit 672) a order by _pricedatetime asc;
Date: 2022-10-23 14:11:39 Duration: 10s317ms Database: acaweb_fx User: postgres Remote: 192.168.2.82 Application: [unknown]
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select open as _open, high as _high, low as _low, close as _close, volume as _volume, pricedatetime as _pricedatetime FROM ( select open, high, low, close, volume, pricedatetime FROM T15 WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840216709326300 union all select open, high, low, close, volume, pricedatetime FROM T15_ps WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840216709326300 order by pricedatetime desc limit 672) a order by _pricedatetime asc;
Date: 2022-10-23 14:13:05 Duration: 8s401ms Database: acaweb_fx User: postgres Remote: 192.168.2.82 Application: [unknown]
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select open as _open, high as _high, low as _low, close as _close, volume as _volume, pricedatetime as _pricedatetime FROM ( select open, high, low, close, volume, pricedatetime FROM T15 WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840249510241300 union all select open, high, low, close, volume, pricedatetime FROM T15_ps WHERE pricedatetime >= current_timestamp - interval '180 days' and symbolid = 515840249510241300 order by pricedatetime desc limit 672) a order by _pricedatetime asc;
Date: 2022-10-23 14:11:26 Duration: 6s532ms Database: acaweb_fx User: postgres Remote: 192.168.2.82 Application: [unknown]
19 0ms 29s369ms 163ms 1,032 2m48s 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 #19
Day Hour Count Duration Avg duration Oct 23 14 1,032 2m48s 163ms [ User: postgres - Total duration: 2m48s - Times executed: 1032 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2m48s - Times executed: 1032 ]
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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 = 515852059758978308 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: 2022-10-23 14:04:22 Duration: 29s369ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 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 = 529 AND sg.groupid = 515852059709228308 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: 2022-10-23 14:04:11 Duration: 19s794ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 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 = 529 AND sg.groupid = 515852059718346308 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: 2022-10-23 14:04:21 Duration: 16s992ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
20 0ms 20s565ms 84ms 1,026 1m26s 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 #20
Day Hour Count Duration Avg duration Oct 23 14 1,026 1m26s 84ms [ User: postgres - Total duration: 1m26s - Times executed: 1026 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1m26s - Times executed: 1026 ]
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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 = 515852059758978308 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: 2022-10-23 14:04:22 Duration: 20s565ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 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 = 529 AND sg.groupid = 515852059718346308 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: 2022-10-23 14:04:22 Duration: 18s871ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 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 = 529 AND sg.groupid = 515852059704165308 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: 2022-10-23 14:04:04 Duration: 13s198ms Database: acaweb_fx User: postgres Remote: 192.168.1.23 Application: PostgreSQL JDBC Driver Bind query: yes
Time consuming prepare
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 901ms 1,131 0ms 23ms 0ms WITH rar_max as ( ;Times Reported Time consuming prepare #1
Day Hour Count Duration Avg duration Oct 23 14 1,131 901ms 0ms [ User: postgres - Total duration: 1h5m58s - Times executed: 1131 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 54m21s - Times executed: 1062 ]
[ Application: [unknown] - Total duration: 11m36s - Times executed: 69 ]
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WITH rar_max as ( ;
Date: 2022-10-23 14:14:01 Duration: 23ms Database: postgres User: acaweb_fx Remote: postgres Application: 182.165.1.42
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WITH rar_max as ( ;
Date: 2022-10-23 14:14:01 Duration: 17ms Database: postgres User: acaweb_fx Remote: postgres Application: 182.165.1.42
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WITH rar_max as ( ;
Date: 2022-10-23 14:18:53 Duration: 13ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.250
2 743ms 3,702 0ms 6ms 0ms SELECT ;Times Reported Time consuming prepare #2
Day Hour Count Duration Avg duration 14 3,702 743ms 0ms [ User: postgres - Total duration: 38s875ms - Times executed: 3702 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 32s710ms - Times executed: 543 ]
[ Application: [unknown] - Total duration: 6s165ms - Times executed: 3159 ]
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SELECT ;
Date: 2022-10-23 14:01:31 Duration: 6ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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SELECT ;
Date: 2022-10-23 14:17:41 Duration: 6ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
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SELECT ;
Date: 2022-10-23 14:11:45 Duration: 5ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
3 620ms 1,169 0ms 1ms 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 #3
Day Hour Count Duration Avg duration 14 1,169 620ms 0ms [ User: postgres - Total duration: 4s996ms - Times executed: 1169 ]
[ Application: [unknown] - Total duration: 4s996ms - Times executed: 1169 ]
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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: 2022-10-23 14:27:01 Duration: 1ms 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: 2022-10-23 14:08:11 Duration: 1ms 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: 2022-10-23 14:03:22 Duration: 1ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
4 554ms 6,613 0ms 24ms 0ms select 1;Times Reported Time consuming prepare #4
Day Hour Count Duration Avg duration 14 6,613 554ms 0ms [ User: postgres - Total duration: 37ms - Times executed: 6613 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 36ms - Times executed: 6567 ]
[ Application: [unknown] - Total duration: 0ms - Times executed: 46 ]
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select 1;
Date: 2022-10-23 14:35:21 Duration: 24ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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select 1;
Date: 2022-10-23 14:51:21 Duration: 9ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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select 1;
Date: 2022-10-23 14:47:21 Duration: 9ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
5 550ms 3,618 0ms 13ms 0ms SET extra_float_digits = 3;Times Reported Time consuming prepare #5
Day Hour Count Duration Avg duration 14 3,618 550ms 0ms [ User: postgres - Total duration: 32ms - Times executed: 3618 ]
[ Application: [unknown] - Total duration: 32ms - Times executed: 3618 ]
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SET extra_float_digits = 3;
Date: 2022-10-23 14:33:29 Duration: 13ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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SET extra_float_digits = 3;
Date: 2022-10-23 14:36:46 Duration: 5ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.45
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SET extra_float_digits = 3;
Date: 2022-10-23 14:47:18 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
6 204ms 147 0ms 1ms 1ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming prepare #6
Day Hour Count Duration Avg duration 14 147 204ms 1ms [ User: postgres - Total duration: 1s937ms - Times executed: 147 ]
[ Application: [unknown] - Total duration: 1s937ms - Times executed: 147 ]
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SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2022-10-23 14:04:04 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: 2022-10-23 14:03:04 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: 2022-10-23 14:03:37 Duration: 1ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
7 197ms 75 0ms 7ms 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 = 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 prepare #7
Day Hour Count Duration Avg duration 14 75 197ms 2ms [ User: postgres - Total duration: 14s839ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 14s839ms - 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: 2022-10-23 14:16:59 Duration: 7ms 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 = 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: 2022-10-23 14:33:00 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 = 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: 2022-10-23 14:21:00 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
8 184ms 94 0ms 72ms 1ms /*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 '%eurusd%' AND timegranularity = 15);Times Reported Time consuming prepare #8
Day Hour Count Duration Avg duration 14 94 184ms 1ms [ User: postgres - Total duration: 7s250ms - Times executed: 94 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 7s250ms - Times executed: 94 ]
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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 '%eurusd%' AND timegranularity = 15);
Date: 2022-10-23 14:11:19 Duration: 72ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
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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 '%eurusd%' AND timegranularity = 15);
Date: 2022-10-23 14:19:19 Duration: 4ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
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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 '%eurusd%' AND timegranularity = 15);
Date: 2022-10-23 14:19:19 Duration: 4ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
9 159ms 70 0ms 21ms 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 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 (((c.symbol ilike '%eurusd%' AND timegranularity = 15);Times Reported Time consuming prepare #9
Day Hour Count Duration Avg duration 14 70 159ms 2ms [ User: postgres - Total duration: 497ms - Times executed: 70 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 497ms - Times executed: 70 ]
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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 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 (((c.symbol ilike '%eurusd%' AND timegranularity = 15);
Date: 2022-10-23 14:11:19 Duration: 21ms 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 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 (((c.symbol ilike '%eurusd%' AND timegranularity = 15);
Date: 2022-10-23 14:19:19 Duration: 4ms 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 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 (((c.symbol ilike '%eurusd%' AND timegranularity = 15);
Date: 2022-10-23 14:03:19 Duration: 4ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
10 132ms 257 0ms 2ms 0ms /*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;Times Reported Time consuming prepare #10
Day Hour Count Duration Avg duration 14 257 132ms 0ms [ User: postgres - Total duration: 29ms - Times executed: 257 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 29ms - Times executed: 257 ]
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/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;
Date: 2022-10-23 14:32:56 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
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/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;
Date: 2022-10-23 14:09:08 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;
Date: 2022-10-23 14:25:17 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
11 130ms 57 0ms 17ms 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 #11
Day Hour Count Duration Avg duration 14 57 130ms 2ms [ User: postgres - Total duration: 17ms - Times executed: 57 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 17ms - Times executed: 57 ]
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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: 2022-10-23 14:23:20 Duration: 17ms 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: 2022-10-23 14:43:20 Duration: 15ms 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: 2022-10-23 14:51:21 Duration: 4ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
12 128ms 1,478 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 #12
Day Hour Count Duration Avg duration 14 1,478 128ms 0ms [ User: postgres - Total duration: 905ms - Times executed: 1478 ]
[ Application: [unknown] - Total duration: 905ms - Times executed: 1478 ]
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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: 2022-10-23 14:34:45 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: 2022-10-23 14:32:48 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: 2022-10-23 14:03:46 Duration: 0ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
13 126ms 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 = 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 prepare #13
Day Hour Count Duration Avg duration 14 75 126ms 1ms [ User: postgres - Total duration: 1s630ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s630ms - 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: 2022-10-23 14:40:56 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 = 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: 2022-10-23 14:08:57 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 = 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: 2022-10-23 14:36:56 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
14 126ms 75 0ms 7ms 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 = 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 prepare #14
Day Hour Count Duration Avg duration 14 75 126ms 1ms [ User: postgres - Total duration: 18s14ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 18s14ms - 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: 2022-10-23 14:17:00 Duration: 7ms 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 = 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: 2022-10-23 14:04:58 Duration: 5ms 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 = 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: 2022-10-23 14:04:58 Duration: 4ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
15 121ms 342 0ms 2ms 0ms /*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;Times Reported Time consuming prepare #15
Day Hour Count Duration Avg duration 14 342 121ms 0ms [ User: postgres - Total duration: 68ms - Times executed: 342 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 68ms - Times executed: 342 ]
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/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;
Date: 2022-10-23 14:05:16 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;
Date: 2022-10-23 14:23:07 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
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/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;
Date: 2022-10-23 14:25:28 Duration: 1ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
16 114ms 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 = 515852059702019308 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 14 75 114ms 1ms [ User: postgres - Total duration: 52s897ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 52s897ms - 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 = 515852059702019308 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: 2022-10-23 14:09:12 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 = 515852059702019308 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: 2022-10-23 14:29:19 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 = 515852059702019308 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: 2022-10-23 14:41:20 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
17 113ms 82 0ms 2ms 1ms SELECT distinct psd.symbolID FROM symbols s INNER JOIN powerstats_symboldata psd ON s.symbolid = psd.symbolid INNER JOIN brokersymbollist bsl on psd.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss on bsl.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON dss.datafeedinstrumentid = bdfi.datafeedinstrumentid and bdfi.brokerid = $1 WHERE (code = $2 OR symbol = $3) AND bsl.brokerid = $4 AND (dailySymbolID is not NULL OR hourlySymbolID IS NOT NULL OR trumpetSymbolID is not NULL) AND lastUpdated > current_timestamp - interval '30 days';Times Reported Time consuming prepare #17
Day Hour Count Duration Avg duration 14 82 113ms 1ms [ User: postgres - Total duration: 536ms - Times executed: 82 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 536ms - Times executed: 82 ]
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SELECT distinct psd.symbolID FROM symbols s INNER JOIN powerstats_symboldata psd ON s.symbolid = psd.symbolid INNER JOIN brokersymbollist bsl on psd.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss on bsl.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON dss.datafeedinstrumentid = bdfi.datafeedinstrumentid and bdfi.brokerid = $1 WHERE (code = $2 OR symbol = $3) AND bsl.brokerid = $4 AND (dailySymbolID is not NULL OR hourlySymbolID IS NOT NULL OR trumpetSymbolID is not NULL) AND lastUpdated > current_timestamp - interval '30 days';
Date: 2022-10-23 14:40:47 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.0.42
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SELECT distinct psd.symbolID FROM symbols s INNER JOIN powerstats_symboldata psd ON s.symbolid = psd.symbolid INNER JOIN brokersymbollist bsl on psd.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss on bsl.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON dss.datafeedinstrumentid = bdfi.datafeedinstrumentid and bdfi.brokerid = $1 WHERE (code = $2 OR symbol = $3) AND bsl.brokerid = $4 AND (dailySymbolID is not NULL OR hourlySymbolID IS NOT NULL OR trumpetSymbolID is not NULL) AND lastUpdated > current_timestamp - interval '30 days';
Date: 2022-10-23 14:40:49 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.0.42
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SELECT distinct psd.symbolID FROM symbols s INNER JOIN powerstats_symboldata psd ON s.symbolid = psd.symbolid INNER JOIN brokersymbollist bsl on psd.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss on bsl.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON dss.datafeedinstrumentid = bdfi.datafeedinstrumentid and bdfi.brokerid = $1 WHERE (code = $2 OR symbol = $3) AND bsl.brokerid = $4 AND (dailySymbolID is not NULL OR hourlySymbolID IS NOT NULL OR trumpetSymbolID is not NULL) AND lastUpdated > current_timestamp - interval '30 days';
Date: 2022-10-23 14:05:14 Duration: 2ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23
18 113ms 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 #18
Day Hour Count Duration Avg duration 14 75 113ms 1ms [ User: postgres - Total duration: 609ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 609ms - 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: 2022-10-23 14:00:58 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: 2022-10-23 14:32:59 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: 2022-10-23 14:24:59 Duration: 3ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201
19 112ms 1,066 0ms 1ms 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 #19
Day Hour Count Duration Avg duration 14 1,066 112ms 0ms [ User: postgres - Total duration: 713ms - Times executed: 1066 ]
[ Application: [unknown] - Total duration: 713ms - Times executed: 1066 ]
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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: 2022-10-23 14:03:28 Duration: 1ms 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: 2022-10-23 14:03:24 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: 2022-10-23 14:13:16 Duration: 0ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.4.142
20 111ms 57 0ms 8ms 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 #20
Day Hour Count Duration Avg duration 14 57 111ms 1ms [ User: postgres - Total duration: 3s808ms - Times executed: 57 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 3s808ms - Times executed: 57 ]
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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: 2022-10-23 14:31:20 Duration: 8ms 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: 2022-10-23 14:51:20 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 = 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: 2022-10-23 14:23:20 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 11s903ms 1,615 0ms 38ms 7ms WITH rar_max as ( ;Times Reported Time consuming bind #1
Day Hour Count Duration Avg duration Oct 23 14 1,615 11s903ms 7ms [ User: postgres - Total duration: 1h18m - Times executed: 1615 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 56m21s - Times executed: 1525 ]
[ Application: [unknown] - Total duration: 21m39s - Times executed: 90 ]
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WITH rar_max as ( ;
Date: 2022-10-23 14:40:31 Duration: 38ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.135 parameters: $1 = 't', $2 = '529', $3 = '7', $4 = '15', $5 = '30', $6 = '60', $7 = '120', $8 = '240', $9 = '480', $10 = '1440', $11 = '0', $12 = '', $13 = '31', $14 = 'AUDCAD', $15 = 'AUDCHF', $16 = 'AUDJPY', $17 = 'AUDNZD', $18 = 'AUDUSD', $19 = 'CADJPY', $20 = 'CHFJPY', $21 = 'EURAUD', $22 = 'EURCAD', $23 = 'EURCHF', $24 = 'EURGBP', $25 = 'EURJPY', $26 = 'EURNZD', $27 = 'EURUSD', $28 = 'GBPAUD', $29 = 'GBPCAD', $30 = 'GBPCHF', $31 = 'GBPJPY', $32 = 'GBPNZD', $33 = 'GBPUSD', $34 = 'JPN225', $35 = 'NAS100', $36 = 'NZDCAD', $37 = 'NZDCHF', $38 = 'NZDJPY', $39 = 'NZDUSD', $40 = 'USDCAD', $41 = 'USDCHF', $42 = 'USDJPY', $43 = 'XAGUSD', $44 = 'XAUUSD', $45 = '0', $46 = '', $47 = '0', $48 = '0', $49 = '0', $50 = '0', $51 = '0', $52 = 't', $53 = '10', $54 = '10'
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WITH rar_max as ( ;
Date: 2022-10-23 14:02:43 Duration: 36ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.250 parameters: $1 = 't', $2 = '572', $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: 2022-10-23 14:03:53 Duration: 31ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.250 parameters: $1 = '600816146471165303', $2 = '600816146471165303', $3 = '600816146471165303'
2 2s300ms 112 10ms 106ms 20ms /*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 = 515852059739924308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 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 14 112 2s300ms 20ms [ User: postgres - Total duration: 1s578ms - Times executed: 112 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s578ms - Times executed: 112 ]
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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 = 515852059739924308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-10-23 14:11:19 Duration: 106ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '3', $4 = '3', $5 = '-1793682185', $6 = '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 = 515852059739924308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-10-23 14:11:19 Duration: 88ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '0', $4 = '3', $5 = '0', $6 = '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 = 515852059739924308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-10-23 14:23:19 Duration: 68ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '0', $4 = '3', $5 = '0', $6 = '0'
3 1s862ms 5,014 0ms 15ms 0ms SELECT ;Times Reported Time consuming bind #3
Day Hour Count Duration Avg duration 14 5,014 1s862ms 0ms [ User: postgres - Total duration: 40s892ms - Times executed: 5014 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 34s694ms - Times executed: 1849 ]
[ Application: [unknown] - Total duration: 6s197ms - Times executed: 3165 ]
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SELECT ;
Date: 2022-10-23 14:03:57 Duration: 15ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.250 parameters: $1 = '500991627560945200'
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SELECT ;
Date: 2022-10-23 14:15:05 Duration: 11ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.250 parameters: $1 = '515840248265975300'
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SELECT ;
Date: 2022-10-23 14:14:02 Duration: 10ms Database: postgres User: acaweb_fx Remote: postgres Application: 182.165.1.42 parameters: $1 = '515840245969585300'
4 1s558ms 75 10ms 34ms 20ms /*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 #4
Day Hour Count Duration Avg duration 14 75 1s558ms 20ms [ User: postgres - Total duration: 14s839ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 14s839ms - 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: 2022-10-23 14:16:59 Duration: 34ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-298437473', $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: 2022-10-23 14:16:59 Duration: 34ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '110648279', $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: 2022-10-23 14:33:00 Duration: 33ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-298437473', $7 = '0'
5 1s458ms 75 10ms 50ms 19ms /*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 #5
Day Hour Count Duration Avg duration 14 75 1s458ms 19ms [ User: postgres - Total duration: 18s14ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 18s14ms - 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: 2022-10-23 14:17:00 Duration: 50ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1188170823', $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: 2022-10-23 14:17:00 Duration: 47ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '741671991', $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: 2022-10-23 14:04:58 Duration: 36ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '741671991', $7 = '0'
6 1s454ms 57 10ms 67ms 25ms /*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 #6
Day Hour Count Duration Avg duration 14 57 1s454ms 25ms [ User: postgres - Total duration: 3s808ms - Times executed: 57 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 3s808ms - Times executed: 57 ]
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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: 2022-10-23 14:23:19 Duration: 67ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-415392761', $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: 2022-10-23 14:31:20 Duration: 56ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-415392761', $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: 2022-10-23 14:27:20 Duration: 52ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-415392761', $7 = '0'
7 1s440ms 57 10ms 55ms 25ms /*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 #7
Day Hour Count Duration Avg duration 14 57 1s440ms 25ms [ User: postgres - Total duration: 17ms - Times executed: 57 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 17ms - Times executed: 57 ]
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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: 2022-10-23 14:55:21 Duration: 55ms 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: 2022-10-23 14:11:20 Duration: 48ms 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: 2022-10-23 14:59:21 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 = '0', $7 = '0'
8 1s429ms 75 10ms 58ms 19ms /*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 #8
Day Hour Count Duration Avg duration 14 75 1s429ms 19ms [ User: postgres - Total duration: 1s630ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 1s630ms - 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: 2022-10-23 14:40:59 Duration: 58ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1091374625', $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: 2022-10-23 14:24:59 Duration: 52ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1091374625', $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: 2022-10-23 14:44:59 Duration: 39ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1091374625', $7 = '0'
9 1s401ms 75 10ms 51ms 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 = 558 AND sg.groupid = 515852059762345308 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 #9
Day Hour Count Duration Avg duration 14 75 1s401ms 18ms [ User: postgres - Total duration: 4s417ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 4s417ms - 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 = 515852059762345308 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: 2022-10-23 14:36:59 Duration: 51ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '424755999', $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 = 515852059762345308 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: 2022-10-23 14:24:59 Duration: 46ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '424755999', $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 = 515852059762345308 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: 2022-10-23 14:40:59 Duration: 43ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '424755999', $7 = '0'
10 1s398ms 75 10ms 48ms 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 = 558 AND sg.groupid = 515852059702019308 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 14 75 1s398ms 18ms [ User: postgres - Total duration: 52s897ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 52s897ms - 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 = 515852059702019308 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: 2022-10-23 14:21:19 Duration: 48ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-948066473', $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 = 515852059702019308 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: 2022-10-23 14:37:20 Duration: 37ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-948066473', $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 = 515852059702019308 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: 2022-10-23 14:41:20 Duration: 29ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-948066473', $7 = '0'
11 1s378ms 67 10ms 64ms 20ms /*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 #11
Day Hour Count Duration Avg duration 14 67 1s378ms 20ms [ User: postgres - Total duration: 18s706ms - Times executed: 67 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 18s706ms - Times executed: 67 ]
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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: 2022-10-23 14:51:21 Duration: 64ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-2000634713', $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: 2022-10-23 14:59:21 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 = '-2000634713', $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: 2022-10-23 14:35:20 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 = '-2000634713', $7 = '0'
12 1s349ms 75 10ms 52ms 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 = 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 #12
Day Hour Count Duration Avg duration 14 75 1s349ms 17ms [ User: postgres - Total duration: 609ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 609ms - 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: 2022-10-23 14:24:59 Duration: 52ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1066430977', $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: 2022-10-23 14:16:58 Duration: 39ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1066430977', $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: 2022-10-23 14:40:59 Duration: 38ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1066430977', $7 = '0'
13 1s334ms 57 10ms 70ms 23ms /*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 #13
Day Hour Count Duration Avg duration 14 57 1s334ms 23ms [ User: postgres - Total duration: 2s15ms - Times executed: 57 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 2s15ms - Times executed: 57 ]
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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: 2022-10-23 14:23:20 Duration: 70ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1182488481', $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: 2022-10-23 14:23:20 Duration: 64ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1182488481', $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: 2022-10-23 14:11:19 Duration: 56ms 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'
14 1s332ms 67 10ms 48ms 19ms /*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 #14
Day Hour Count Duration Avg duration 14 67 1s332ms 19ms [ User: postgres - Total duration: 33s437ms - Times executed: 67 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 33s437ms - Times executed: 67 ]
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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: 2022-10-23 14:15:20 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 = '984993999', $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: 2022-10-23 14:15:19 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 = '984993999', $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: 2022-10-23 14:27:20 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 = '984993999', $7 = '0'
15 1s281ms 67 10ms 44ms 19ms /*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 #15
Day Hour Count Duration Avg duration 14 67 1s281ms 19ms [ User: postgres - Total duration: 43s378ms - Times executed: 67 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 43s378ms - Times executed: 67 ]
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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: 2022-10-23 14:31:20 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 = '-1921447057', $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: 2022-10-23 14:31:20 Duration: 40ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1921447057', $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: 2022-10-23 14:23:20 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 = '-1921447057', $7 = '0'
16 1s280ms 75 10ms 29ms 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 = 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 #16
Day Hour Count Duration Avg duration 14 75 1s280ms 17ms [ User: postgres - Total duration: 42s518ms - Times executed: 75 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 42s518ms - 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: 2022-10-23 14:33:15 Duration: 29ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.201 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-638603473', $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: 2022-10-23 14:17:12 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 = '-638603473', $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: 2022-10-23 14:33:15 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 = '-638603473', $7 = '0'
17 1s278ms 60 10ms 76ms 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 = 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 #17
Day Hour Count Duration Avg duration 14 60 1s278ms 21ms [ User: postgres - Total duration: 11s930ms - Times executed: 60 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 11s930ms - Times executed: 60 ]
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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: 2022-10-23 14:23:20 Duration: 76ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '2064031527', $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: 2022-10-23 14:23:20 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 = '2064031527', $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: 2022-10-23 14:15:19 Duration: 41ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1995966527', $7 = '0'
18 1s250ms 57 10ms 65ms 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 #18
Day Hour Count Duration Avg duration 14 57 1s250ms 21ms [ User: postgres - Total duration: 3s467ms - Times executed: 57 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 3s467ms - Times executed: 57 ]
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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: 2022-10-23 14:51:21 Duration: 65ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '2318999', $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: 2022-10-23 14:59:21 Duration: 56ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '2318999', $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: 2022-10-23 14:35:21 Duration: 55ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '2318999', $7 = '0'
19 1s244ms 57 10ms 57ms 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 = 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 #19
Day Hour Count Duration Avg duration 14 57 1s244ms 21ms [ User: postgres - Total duration: 11s192ms - Times executed: 57 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 11s192ms - Times executed: 57 ]
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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: 2022-10-23 14:23:19 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 = '1446932399', $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: 2022-10-23 14:27:19 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 = '1446932399', $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: 2022-10-23 14:35:21 Duration: 42ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1446932399', $7 = '0'
20 1s183ms 57 10ms 50ms 20ms /*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 #20
Day Hour Count Duration Avg duration 14 57 1s183ms 20ms [ User: postgres - Total duration: 9s962ms - Times executed: 57 ]
[ Application: PostgreSQL JDBC Driver - Total duration: 9s962ms - Times executed: 57 ]
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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: 2022-10-23 14:27:19 Duration: 50ms Database: postgres User: acaweb_fx Remote: postgres Application: 192.168.1.23 parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1711258639', $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: 2022-10-23 14:55:20 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 = '1676847639', $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: 2022-10-23 14:51:20 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 = '1676847639', $7 = '0'
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Events
Log levels
Key values
- 265,566 Log entries
Events distribution
Key values
- 0 PANIC entries
- 0 FATAL entries
- 147 ERROR entries
- 0 WARNING entries
Most Frequent Errors/Events
Key values
- 147 Max number of times the same event was reported
- 147 Total events found
Rank Times reported Error 1 147 ERROR: Downloader symbol ... on classname ... already exists. Use the add_downloadersymboltobroker_retool function instead.
Times Reported Most Frequent Error / Event #1
Day Hour Count Oct 23 14 147 - ERROR: Downloader symbol [F_HALKB1022] on classname [LEADERCAPITAL2] already exists. Use the add_downloadersymboltobroker_retool function instead.
- ERROR: Downloader symbol [F_AEFES1022] on classname [LEADERCAPITAL2] already exists. Use the add_downloadersymboltobroker_retool function instead.
- ERROR: Downloader symbol [F_AKBNK1022] on classname [LEADERCAPITAL2] 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: 2022-10-23 14:50:34 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: 2022-10-23 14:50:35 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: 2022-10-23 14:50:36 Database: acaweb_fx Application: dreamfactory User: postgres Remote: 192.168.1.44