pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Sat Feb 26 02:59:07 2022
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2022-02-26_040000.log
Parsed 27,955 log entries in 5s
Log start from 2022-02-26 04:00:01 to 2022-02-26 04:59:02

Global Stats

215 Number of unique normalized queries
5,511 Number of queries
10h1m42s Total query duration
2022-02-26 04:00:03 First query
2022-02-26 04:59:02 Last query
60 queries/s at 2022-02-26 04:52:12 Query peak

10h1m42s Total query duration
339ms Prepare/parse total duration
18s823ms Bind total duration
10h1m23s Execute total duration

2,955 Number of events
4 Number of unique normalized events
2,850 Max number of times the same event was reported
0 Number of cancellation

0 Total number of automatic vacuums
0 Total number of automatic analyzes

756 Number temporary file
377.24 MiB Max size of temporary file
5.52 MiB Average size of temporary file

0 Total number of sessions
0 sessions at Session peak
0ms Total duration of sessions
0ms Average duration of sessions
5,511 Average queries per session
10h1m42s Average queries duration per session
n/a Average idle time per session

0 Total number of connections
1 Total number of databases

SQL Traffic

Key values

60 queries/s Query Peak
2022-02-26 04:52:12 Date

SELECT Traffic

Key values

60 queries/s Query Peak
2022-02-26 04:52:12 Date

INSERT/UPDATE/DELETE Traffic

Key values

16 queries/s Query Peak
2022-02-26 04:48:02 Date

Queries duration

Key values

10h1m42s 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

Day	Hour	Count	Min duration	Max duration	Avg duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Feb 26	04	5,511	50ms	4m8s	6s547ms	23m31s	47m29s	56m36s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Feb 26	04	4,458	0	6s533ms	13m45s	19m58s	47m2s

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Feb 26	04	206	72	0	0	186ms	365ms	819ms	2s906ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
Feb 26	04	5	3,972	794.40	0.09%

Day	Hour	Count	Average / Second
Feb 26	04	0	0.00/s

Day	Hour	Count	Average Duration	Average idle time
Feb 26	04	0	0ms	0ms

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Established Connections

Key values

0 connections Connection Peak
Date

Connections per database

Key values

unknown Main Database
0 connections Total

Chart
Table

Connections per database

Database	User	Count

Connections per user

Key values

unknown Main User
0 connections Total

Chart
Table

Connections per user

User	Count

Connections per host

Key values

unknown Main host with 0 connections
0 Total connections

Chart
Table

Connections per host

Host	Count

Simultaneous sessions

Key values

0 sessions Session Peak
Date

Histogram of session times

Key values

duration

Chart
Table

Range	Count	Percentage
NO DATASET

Sessions per database

Key values

unknown Main Database
0 sessions Total

Chart
Table

Sessions per database

Database	User	Count	Total Duration	Average Duration
NO DATASET

Sessions per user

Key values

unknown Main User
0 sessions Total

Chart
Table

Sessions per user

User	Count	Total Duration	Average Duration
NO DATASET

Sessions per host

Key values

unknown Main Host
0 sessions Total

Chart
Table

Connections per host

Host	Count	Total Duration	Average Duration
NO DATASET

Sessions per application

Key values

unknown Main Host
0 sessions Total

Chart
Table

Sessions per application

Application	Count	Total Duration	Average Duration
NO DATASET

Checkpoints Buffers

Key values

0 buffers Checkpoint Peak
Date
seconds Highest write time
seconds Sync time

Checkpoint write buffers (5 minutes period)

Checkpoints Wal files

Key values

0 files Wal files usage Peak
Date

Checkpoint Wal files usage (5 minutes period)

Checkpoints distance

Key values

0 Mo Distance Peak
Date

Checkpoints Activity

Day	Hour	Written buffers	Write time	Sync time	Total time
Feb 26	04	0	0s	0s	0s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
Feb 26	04	0	0	0	0	0s	0s

Day	Hour	Count	Avg time (sec)
Feb 26	04	0	0s

Day	Hour	Mean distance	Mean estimate
Feb 26	04	0.00 kB	0.00 kB

↑ Back to the top of the Checkpoint Activity table

Checkpoint causes

Key values

unknown (0) Main checkpoint cause
0 checkpoints Total

Chart
Table

Checkpoint causes

Cause	Number of checkpoints
NO DATASET

Size of temporary files

Key values

330.91 MiB Temp Files size Peak
2022-02-26 04:22:11 Date

Number of temporary files

Key values

9 per second Temp Files Peak
2022-02-26 04:30:40 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
Feb 26	04	756	4.07 GiB	5.52 MiB

↑ Back to the top of the Temporary Files Activity table

Queries generating the most temporary files (N)


Date: 2022-02-26 04:39:46
Duration: 4m1s
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:39:54
Duration: 4m8s
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:00:19
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:01:48
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:01:56
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:00:41
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:50:14
Duration: 14s391ms
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:06:24
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:01:38
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:06:08
Duration: 3s62ms
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:39:21
Duration: 3m14s
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:54:44
Duration: 2m
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:22:51
Duration: 39s242ms
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:05:03
Duration: 2s347ms
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:22:11
Duration: 31s703ms
Database: acaweb_fx
User: postgres
Date: 2022-02-26 04:21:39
Duration: 5s402ms
Database: acaweb_fx
User: postgres

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	132	1.23 GiB	2.52 MiB	37.70 MiB	9.54 MiB	select stats_createsummarytables_chartpattens (cast(? as bigint)); select stats_createSummaryTables_ChartPattens (cast(4871 as bigint)); Date: 2022-02-26 04:39:46 Duration: 4m1s Database: acaweb_fx User: postgres select stats_createSummaryTables_ChartPattens (cast(4748 as bigint)); Date: 2022-02-26 04:34:55 Duration: 3m50s Database: acaweb_fx User: postgres select stats_createSummaryTables_ChartPattens (cast(4737 as bigint)); Date: 2022-02-26 04:34:22 Duration: 3m20s Database: acaweb_fx User: postgres
2	94	1.37 GiB	2.09 MiB	35.86 MiB	14.94 MiB	select stats_createsummarytables_keylevels (cast(? as bigint)); select stats_createSummaryTables_KeyLevels (cast(4871 as bigint)); Date: 2022-02-26 04:39:54 Duration: 4m8s Database: acaweb_fx User: postgres select stats_createSummaryTables_KeyLevels (cast(4748 as bigint)); Date: 2022-02-26 04:35:01 Duration: 3m57s Database: acaweb_fx User: postgres select stats_createSummaryTables_KeyLevels (cast(4737 as bigint)); Date: 2022-02-26 04:34:27 Duration: 3m24s Database: acaweb_fx User: postgres
3	32	210.09 MiB	4.69 MiB	8.01 MiB	6.57 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), results as ( select distinct on (s.symbolid) 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 <= ?) order by symbolid, identified desc, patternlengthbars desc ) select from results where (false = ? or relevant = ?) and (? = ? or age <= ?) 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), results AS ( SELECT DISTINCT ON (s.symbolid) 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)) AND ($15 = 0 OR p.patternname in ($16)) AND ($17 = 0 OR kr.patternclassid in ($18, $19)) AND ($20 = 0 OR kr.patternlengthbars <= $21) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = $22 OR relevant = 1) AND ($23 = 0 OR age <= $24) ORDER BY identified DESC, length DESC; Date: 2022-02-26 04:00:19 Duration: 0ms Database: acaweb_fx User: postgres
4	18	118.41 MiB	5.67 MiB	7.48 MiB	6.58 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), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) order by symbolid, identified desc, patternlengthbars desc ) select from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc; 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), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $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 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)) AND ($5 = 0 OR s.exchange in ($6)) AND ($7 = 0 OR s.symbol in ($8)) AND ($9 = 0 OR p.patternname in ($10)) AND ($11 = 0 OR kr.patternclassid in ($12)) AND ($13 = 0 OR kr.patternlengthbars <= $14) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = $15 OR relevant = 1) AND ($16 = 0 OR age <= $17) ORDER BY identified DESC, length DESC; Date: 2022-02-26 04:01:48 Duration: 0ms Database: acaweb_fx User: postgres
5	18	97.62 MiB	2.94 MiB	6.60 MiB	5.42 MiB	select resultuid from relevance_fibonacci_results order by resultuid desc limit ?), fr as ( select a., rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end), results as ( select distinct on (s.symbolid) fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant 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 ? = ? 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 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))) order by symbolid, identified desc, patternlengthbars desc ) select from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc; SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a., rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), results AS ( SELECT DISTINCT ON (s.symbolid) fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4)) AND ($5 = 0 OR s.exchange in ($6)) AND ($7 = 0 OR s.symbol in ($8)) AND ($9 = 0 OR fr.pattern in ($10)) AND ($11 = 0 OR fr.patternlengthbars <= $12) AND ($13 = 0 OR ($14 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($15 = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = $16 OR relevant = 1) AND ($17 = 0 OR age <= $18) ORDER BY identified DESC, length DESC; Date: 2022-02-26 04:01:56 Duration: 0ms Database: acaweb_fx User: postgres
6	12	89.81 MiB	7.48 MiB	7.48 MiB	7.48 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), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, 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 where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) order by symbolid, identified desc, patternlengthbars desc ) select from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc; 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), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, 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 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 s.symbol in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322, $323, $324, $325, $326, $327, $328, $329, $330, $331, $332, $333, $334, $335, $336, $337, $338, $339, $340)) AND ($341 = 0 OR p.patternname in ($342)) AND ($343 = 0 OR kr.patternclassid in ($344, $345)) AND ($346 = 0 OR kr.patternlengthbars <= $347) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = $348 OR relevant = 1) AND ($349 = 0 OR age <= $350) ORDER BY identified DESC, length DESC; Date: 2022-02-26 04:00:41 Duration: 0ms Database: acaweb_fx User: postgres
7	3	90.35 MiB	16.98 MiB	41.33 MiB	30.12 MiB	select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where ss.statsid in ( select statsid from stats where (? = ? or brokerid = ?)) and atbaridentified >= (current_timestamp - interval ?) and atbaridentified <= current_timestamp and type = ? and pattern not ilike ? and (? = ? or statsid >= ?) order by ss.statsid; select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where ss.statsid in ( select statsid from stats where (0 = 0 or brokerid = 0)) and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'kl' and pattern not ilike '%NON_LIQUID%' and (0 = 0 OR statsid >= 0) order by ss.statsid; Date: 2022-02-26 04:50:14 Duration: 14s391ms Database: acaweb_fx User: postgres select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where ss.statsid in ( select statsid from stats where (0 = 0 or brokerid = 0)) and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'ekl' and pattern not ilike '%NON_LIQUID%' and (0 = 0 OR statsid >= 0) order by ss.statsid; Date: 2022-02-26 04:54:32 Duration: 9s793ms Database: acaweb_fx User: postgres select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where ss.statsid in ( select statsid from stats where (0 = 0 or brokerid = 0)) and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' and (0 = 0 OR statsid >= 0) order by ss.statsid; Date: 2022-02-26 04:36:05 Duration: 4s804ms Database: acaweb_fx User: postgres
8	3	8.81 MiB	2.94 MiB	2.94 MiB	2.94 MiB	select resultuid from relevance_bigmovement_results order by resultuid desc limit ?), results as ( select distinct on (s.symbolid) bmr.resultuid as resultuid, ? as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, bmr.patternendtime as identified, bmr.patternlengthbars, dtt.timezone as timezone, g.basegroupname, case when rbr.age is not null then rbr.age when bmr.resultuid <= rm.resultuid then ? else ? end as age, case when rbr.relevant is not null then rbr.relevant when bmr.resultuid <= rm.resultuid then ? else ? end as relevant from bigmovement_results bmr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = bmr.symbolid inner join symbols s on bmr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on bmr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on bmr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join rar_max rm on ? = ? left outer join relevance_bigmovement_results rbr on rbr.resultuid = bmr.resultuid where bmr.gmttimefound > now() - interval ? and (bmr.simulation = ? or bmr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or bmr.patternlengthbars <= ?) order by symbolid, identified desc, interval desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, interval desc; SELECT resultuid FROM relevance_bigmovement_results ORDER BY resultuid DESC LIMIT 1), results AS ( SELECT DISTINCT ON (s.symbolid) bmr.resultuid AS resultuid, 0 AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, bmr.patternendtime AS identified, bmr.patternlengthbars, dtt.timezone AS timezone, g.basegroupname, CASE WHEN rbr.age IS NOT NULL THEN rbr.age WHEN bmr.resultuid <= rm.resultuid THEN 4 ELSE 0 END as age, CASE WHEN rbr.relevant IS NOT NULL THEN rbr.relevant WHEN bmr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM bigmovement_results bmr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $1 AND bsl.symbolid = bmr.symbolid INNER JOIN symbols s ON bmr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON bmr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on bmr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_bigmovement_results rbr ON rbr.resultuid = bmr.resultuid WHERE bmr.gmttimefound > now() - INTERVAL '7 DAYS' AND (bmr.simulation = 0 OR bmr.simulation IS NULL) AND ($2 = 0 OR s.timegranularity in ($3)) AND ($4 = 0 OR s.exchange in ($5)) AND ($6 = 0 OR s.symbol in ($7)) AND ($8 = 0 OR bmr.patternlengthbars <= $9) ORDER BY symbolid, identified DESC, interval DESC ) SELECT * from results WHERE (FALSE = $10 OR relevant = 1) AND ($11 = 0 OR age <= $12) ORDER BY identified DESC, interval DESC; Date: 2022-02-26 04:06:24 Duration: 0ms Database: acaweb_fx User: postgres
9	2	5.88 MiB	2.94 MiB	2.94 MiB	2.94 MiB	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; 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 = $1 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 = $2 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 ($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 s.symbol in ($14)) AND ($15 = 0 OR ar.pattern in ($16)) AND ($17 = 0 OR ($18 = 1 AND ar.breakout >= 0) OR ($19 = 2 AND ar.breakout < 0)) AND ($20 = 0 OR ar.patternlengthbars <= $21) and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = $22 OR relevant = 1) AND ($23 = 0 OR age <= $24) ORDER BY identified DESC, length DESC; Date: 2022-02-26 04:01:38 Duration: 0ms Database: acaweb_fx User: postgres
10	2	6.30 MiB	2.97 MiB	3.32 MiB	3.15 MiB	select fixcandlegaps (?, false); select fixcandlegaps ('XM', false); Date: 2022-02-26 04:06:08 Duration: 3s62ms Database: acaweb_fx User: postgres select fixcandlegaps ('EVERESTMT5', false); Date: 2022-02-26 04:06:09 Duration: 1s18ms Database: acaweb_fx User: postgres select fixcandlegaps ('LEGACYFXMT5', false); Date: 2022-02-26 04:06:04 Duration: 1s16ms Database: acaweb_fx User: postgres
11	1	8.68 MiB	8.68 MiB	8.68 MiB	8.68 MiB	select initialtrend, breakout, symmetry, clarity, qtytp, replace(symbol, ?, ?) as symbol, pattern, direction, hourofday, interval, correct, atbaridentified, quality from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = ? and atbaridentified >= (current_timestamp - interval ?) and atbaridentified <= current_timestamp and type = ? and pattern not ilike ? group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = ? and atbaridentified >= (current_timestamp - interval ?) and atbaridentified <= current_timestamp and type = ? and pattern not ilike ?; select initialtrend, breakout, symmetry, clarity, qtytp, replace(symbol, '''', '''''') as symbol, pattern, direction, hourofday, interval, correct, atbaridentified, quality from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid FROM stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = 3 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = 3 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%'; Date: 2022-02-26 04:39:21 Duration: 3m14s Database: acaweb_fx User: postgres select initialtrend, breakout, symmetry, clarity, qtytp, replace(symbol, '''', '''''') as symbol, pattern, direction, hourofday, interval, correct, atbaridentified, quality from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid FROM stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = 4 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = 4 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%'; Date: 2022-02-26 04:39:21 Duration: 3m14s Database: acaweb_fx User: postgres select initialtrend, breakout, symmetry, clarity, qtytp, replace(symbol, '''', '''''') as symbol, pattern, direction, hourofday, interval, correct, atbaridentified, quality from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid FROM stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = 4130 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = 4130 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%'; Date: 2022-02-26 04:39:21 Duration: 3m12s Database: acaweb_fx User: postgres
12	1	7.93 MiB	7.93 MiB	7.93 MiB	7.93 MiB	select qtytp, replace(symbol, ?, ?) as symbol, pattern, direction, hourofday, interval, correct, atbaridentified from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = ? and atbaridentified >= (current_timestamp - interval ?) and atbaridentified <= current_timestamp and type = ? and pattern not ilike ? group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = ? and atbaridentified >= (current_timestamp - interval ?) and atbaridentified <= current_timestamp and type = ? and pattern not ilike ?; select qtytp, replace(symbol, '''', '''''') as symbol, pattern, direction, hourofday, interval, correct, atbaridentified from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid FROM stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = 4748 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'kl' and pattern not ilike '%NON_LIQUID%' group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = 4748 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'kl' and pattern not ilike '%NON_LIQUID%'; Date: 2022-02-26 04:54:44 Duration: 2m Database: acaweb_fx User: postgres select qtytp, replace(symbol, '''', '''''') as symbol, pattern, direction, hourofday, interval, correct, atbaridentified from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid FROM stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = 4446 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'ekl' and pattern not ilike '%NON_LIQUID%' group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = 4446 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'ekl' and pattern not ilike '%NON_LIQUID%'; Date: 2022-02-26 04:56:57 Duration: 1m50s Database: acaweb_fx User: postgres select qtytp, replace(symbol, '''', '''''') as symbol, pattern, direction, hourofday, interval, correct, atbaridentified from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid FROM stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = 4747 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'kl' and pattern not ilike '%NON_LIQUID%' group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = 4747 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'kl' and pattern not ilike '%NON_LIQUID%'; Date: 2022-02-26 04:54:12 Duration: 1m28s Database: acaweb_fx User: postgres
13	1	377.24 MiB	377.24 MiB	377.24 MiB	377.24 MiB	select stats_calcstatsforallbrokers (); select stats_calcstatsforallbrokers (); Date: 2022-02-26 04:22:51 Duration: 39s242ms Database: acaweb_fx User: postgres select stats_calcstatsforallbrokers (); Date: 2022-02-26 04:22:24 Duration: 0ms Database: acaweb_fx User: postgres
14	1	43.69 MiB	43.69 MiB	43.69 MiB	43.69 MiB	select cleanupconsecutivecandlesresults (); select cleanupconsecutivecandlesresults (); Date: 2022-02-26 04:05:03 Duration: 2s347ms Database: acaweb_fx User: postgres select cleanupconsecutivecandlesresults (); Date: 2022-02-26 04:05:02 Duration: 0ms Database: acaweb_fx User: postgres
15	1	373.55 MiB	373.55 MiB	373.55 MiB	373.55 MiB	select stats_populatestatssuccess_keylevels (?); select stats_populatestatssuccess_keylevels (0); Date: 2022-02-26 04:22:11 Duration: 31s703ms Database: acaweb_fx User: postgres select stats_populatestatssuccess_keylevels (0); Date: 2022-02-26 04:21:39 Duration: 0ms Database: acaweb_fx User: postgres
16	1	4.22 MiB	4.22 MiB	4.22 MiB	4.22 MiB	select stats_populatestatssuccess_chartpatterns (?); select stats_populatestatssuccess_chartpatterns (0); Date: 2022-02-26 04:21:39 Duration: 5s402ms Database: acaweb_fx User: postgres select stats_populatestatssuccess_chartpatterns (0); Date: 2022-02-26 04:21:39 Duration: 0ms Database: acaweb_fx User: postgres

Queries generating the largest temporary files


[ Date: 2022-02-26 04:22:24 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:21:39 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:05:02 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:54:31 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:29:10 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:35:49 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:28:49 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:30:39 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:35:25 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:36:05 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:30:21 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:30:21 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:29:00 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:30:31 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:30:39 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:30:35 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:35:30 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:29:42 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:30:20 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:30:21 - Database: acaweb_fx - User: postgres ]

Rank	Size	Query
1	377.24 MiB	select stats_calcstatsforallbrokers (); [ Date: 2022-02-26 04:22:24 - Database: acaweb_fx - User: postgres ]
2	373.55 MiB	select stats_populatestatssuccess_keylevels (0); [ Date: 2022-02-26 04:21:39 - Database: acaweb_fx - User: postgres ]
3	43.69 MiB	select cleanupconsecutivecandlesresults (); [ Date: 2022-02-26 04:05:02 - Database: acaweb_fx - User: postgres ]
4	41.33 MiB	select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where ss.statsid in ( select statsid from stats where (0 = 0 or brokerid = 0)) and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'ekl' and pattern not ilike '%NON_LIQUID%' and (0 = 0 OR statsid >= 0) order by ss.statsid; [ Date: 2022-02-26 04:54:31 - Database: acaweb_fx - User: postgres ]
5	37.70 MiB	select stats_createSummaryTables_ChartPattens (cast(4568 as bigint)); [ Date: 2022-02-26 04:29:10 - Database: acaweb_fx - User: postgres ]
6	37.70 MiB	select stats_createSummaryTables_ChartPattens (cast(4867 as bigint)); [ Date: 2022-02-26 04:35:49 - Database: acaweb_fx - User: postgres ]
7	35.86 MiB	select stats_createSummaryTables_KeyLevels (cast(4501 as bigint)); [ Date: 2022-02-26 04:28:49 - Database: acaweb_fx - User: postgres ]
8	33.75 MiB	select stats_createSummaryTables_KeyLevels (cast(4687 as bigint)); [ Date: 2022-02-26 04:30:39 - Database: acaweb_fx - User: postgres ]
9	33.75 MiB	select stats_createSummaryTables_KeyLevels (cast(4838 as bigint)); [ Date: 2022-02-26 04:35:25 - Database: acaweb_fx - User: postgres ]
10	32.04 MiB	select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where ss.statsid in ( select statsid from stats where (0 = 0 or brokerid = 0)) and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' and (0 = 0 OR statsid >= 0) order by ss.statsid; [ Date: 2022-02-26 04:36:05 - Database: acaweb_fx - User: postgres ]
11	31.00 MiB	select stats_createSummaryTables_KeyLevels (cast(4647 as bigint)); [ Date: 2022-02-26 04:30:21 - Database: acaweb_fx - User: postgres ]
12	31.00 MiB	select stats_createSummaryTables_KeyLevels (cast(4663 as bigint)); [ Date: 2022-02-26 04:30:21 - Database: acaweb_fx - User: postgres ]
13	30.03 MiB	select stats_createSummaryTables_KeyLevels (cast(4556 as bigint)); [ Date: 2022-02-26 04:29:00 - Database: acaweb_fx - User: postgres ]
14	29.48 MiB	select stats_createSummaryTables_KeyLevels (cast(4668 as bigint)); [ Date: 2022-02-26 04:30:31 - Database: acaweb_fx - User: postgres ]
15	29.48 MiB	select stats_createSummaryTables_KeyLevels (cast(4690 as bigint)); [ Date: 2022-02-26 04:30:39 - Database: acaweb_fx - User: postgres ]
16	29.07 MiB	select stats_createSummaryTables_ChartPattens (cast(4677 as bigint)); [ Date: 2022-02-26 04:30:35 - Database: acaweb_fx - User: postgres ]
17	26.38 MiB	select stats_createSummaryTables_KeyLevels (cast(4849 as bigint)); [ Date: 2022-02-26 04:35:30 - Database: acaweb_fx - User: postgres ]
18	26.38 MiB	select stats_createSummaryTables_KeyLevels (cast(4574 as bigint)); [ Date: 2022-02-26 04:29:42 - Database: acaweb_fx - User: postgres ]
19	26.26 MiB	select stats_createSummaryTables_KeyLevels (cast(4649 as bigint)); [ Date: 2022-02-26 04:30:20 - Database: acaweb_fx - User: postgres ]
20	26.26 MiB	select stats_createSummaryTables_KeyLevels (cast(4665 as bigint)); [ Date: 2022-02-26 04:30:21 - Database: acaweb_fx - User: postgres ]

Vacuums / Analyzes Distribution

Key values

0 sec Highest CPU-cost vacuum
Table
Database
Date
0 sec Highest CPU-cost analyze
Table
Database
Date

Autovacuum actions (5 minutes period)

Analyzes per table

Key values

unknown (0) Main table analyzed (database )
0 analyzes Total

Chart
Table

Analyzes per tables

Table	Number of analyzes
NO DATASET

Vacuums per table

Key values

unknown (0) Main table vacuumed on database
0 vacuums Total

Chart
Table

Vacuums per tables

		Index	Buffer usage			Skipped		WAL usage
Table	Vacuums	scans	hits	misses	dirtied	pins	frozen	records	full page	bytes
NO DATASET

Tuples removed per table

Key values

unknown (0) Main table with removed tuples on database
0 tuples Total removed

Chart
Table

Tuples removed per tables

		Index	Tuples			Pages
Table	Vacuums	scans	removed	remain	not yet removable	removed	remain
NO DATASET

Pages removed per table

Key values

unknown (0) Main table with removed pages on database unknown
0 pages Total removed

Chart
Table

Pages removed per tables

Table	Number of vacuums	Index scans	Tuples removed	Pages removed
NO DATASET

Autovacuum Activity

Vacuums / Analyzes

Day	Hour	VACUUMs	ANALYZEs
Feb 26	04	0	0

↑ Back to the top of the Autovacuum Activity table

Locks by types

Key values

AccessShareLock Main Lock Type
40 locks Total

Chart
Table

Type	Object	Count	Total Duration	Average Duration (s)
AccessShareLock		40	9m43s	14s591ms
	relation	40	9m43s	14s591ms
	Total	40	9m43s	14s591ms

Most frequent waiting queries (N)

Rank	Count	Total time	Min time	Max time	Avg duration	Query
1	40	9m43s	1s927ms	39s395ms	14s591ms	select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?; SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IFCMARKETSMT4 - 1'; Date: 2022-02-26 04:47:41 Database: acaweb_fx User: postgres SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'VALBURYFUTURES - 1'; Date: 2022-02-26 04:32:25 Database: acaweb_fx User: postgres SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'EVERESTMT5 - 1'; Date: 2022-02-26 04:32:25 Database: acaweb_fx User: postgres

Queries that waited the most


[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]

Rank	Wait time	Query
1	39s395ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IFCMARKETSMT4 - 1'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
2	21s288ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'VALBURYFUTURES - 1'; [ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
3	20s274ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'EVERESTMT5 - 1'; [ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
4	18s852ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
5	17s991ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 2'; [ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
6	17s908ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AKFX - 1'; [ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
7	16s829ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'PHILLIPFUTURES - 1'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
8	16s828ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 2'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
9	16s609ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GKFXPRIME - 1'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
10	16s563ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
11	16s563ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ADSSECURITIES - 2'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
12	15s945ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AMANACAPITAL - 1'; [ Date: 2022-02-26 04:32:25 - Database: acaweb_fx - User: postgres ]
13	15s798ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AKFX - 2'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
14	15s798ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'EVERESTMT5 - 1'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
15	15s798ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GKINVESTMT5 - 1'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
16	15s796ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'VALBURYFUTURES - 1'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
17	15s795ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
18	15s791ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AKFX - 1'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
19	15s502ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ALBForex - 1'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]
20	15s345ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Forex4You - 1'; [ Date: 2022-02-26 04:47:41 - Database: acaweb_fx - User: postgres ]

Queries by type

Key values

4,458 Total read queries
1,045 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	4,458	80.89%
INSERT	206	3.74%
UPDATE	72	1.31%
DELETE	0	0.00%
COPY FROM	0	0.00%
COPY TO	0	0.00%
CTE	767	13.92%
DDL	0	0.00%
TCL	0	0.00%
CURSOR	0	0.00%
OTHERS	8	0.15%

Queries by database

Key values

acaweb_fx Main database
5,511 Requests
10h1m23s (acaweb_fx)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	5,511	10h1m23s
	cte	767	1h53m23s
	insert	206	27s373ms
	others	8	1m42s
	select	4,458	8h5m26s
	update	72	24s349ms

Queries by user

Key values

postgres Main user
5,511 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	5,511	10h1m23s
	cte	767	1h53m23s
	insert	206	27s373ms
	others	8	1m42s
	select	4,458	8h5m26s
	update	72	24s349ms

Duration by user

Key values

10h1m23s (postgres) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	5,511	10h1m23s
	cte	767	1h53m23s
	insert	206	27s373ms
	others	8	1m42s
	select	4,458	8h5m26s
	update	72	24s349ms

Queries by host

Key values

unknown Main host
5,511 Requests
10h1m23s (unknown)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
unknown	Total	5,511	10h1m23s
	cte	767	1h53m23s
	insert	206	27s373ms
	others	8	1m42s
	select	4,458	8h5m26s
	update	72	24s349ms

Queries by application

Key values

unknown Main application
5,511 Requests
10h1m23s (unknown)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
unknown	Total	5,511	10h1m23s
	cte	767	1h53m23s
	insert	206	27s373ms
	others	8	1m42s
	select	4,458	8h5m26s
	update	72	24s349ms

Number of cancelled queries

Key values

0 per second Cancelled query Peak
2022-02-26 04:25:20 Date

Number of cancelled queries (5 minutes period)

Histogram of query times

Key values

1,847 100-500ms duration

Chart
Table

Range	Count	Percentage
0-1ms	0	0.00%
1-5ms	0	0.00%
5-10ms	0	0.00%
10-25ms	0	0.00%
25-50ms	0	0.00%
50-100ms	1,434	26.02%
100-500ms	1,847	33.51%
500-1000ms	448	8.13%
1000-10000ms	1,039	18.85%
> 10000ms	743	13.48%

Slowest individual queries


[ Date: 2022-02-26 04:39:54 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:39:46 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:35:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:34:55 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:29:16 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-26 04:34:27 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:34:26 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:34:25 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:34:22 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:34:23 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:40:56 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-26 04:28:41 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:34:22 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:48:45 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-26 04:34:19 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:39:21 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:39:21 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:34:19 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:39:21 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-26 04:39:22 - Database: acaweb_fx - User: postgres ]

Rank	Duration	Query
1	4m8s	select stats_createSummaryTables_KeyLevels (cast(4871 as bigint)); [ Date: 2022-02-26 04:39:54 - Database: acaweb_fx - User: postgres ]
2	4m1s	select stats_createSummaryTables_ChartPattens (cast(4871 as bigint)); [ Date: 2022-02-26 04:39:46 - Database: acaweb_fx - User: postgres ]
3	3m57s	select stats_createSummaryTables_KeyLevels (cast(4748 as bigint)); [ Date: 2022-02-26 04:35:01 - Database: acaweb_fx - User: postgres ]
4	3m50s	select stats_createSummaryTables_ChartPattens (cast(4748 as bigint)); [ Date: 2022-02-26 04:34:55 - Database: acaweb_fx - User: postgres ]
5	3m46s	WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a., rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR 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', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#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', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#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 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: 2022-02-26 04:29:16 - Database: acaweb_fx - User: postgres - Bind query: yes ]
6	3m24s	select stats_createSummaryTables_KeyLevels (cast(4737 as bigint)); [ Date: 2022-02-26 04:34:27 - Database: acaweb_fx - User: postgres ]
7	3m21s	select stats_createSummaryTables_KeyLevels (cast(4749 as bigint)); [ Date: 2022-02-26 04:34:26 - Database: acaweb_fx - User: postgres ]
8	3m20s	select stats_createSummaryTables_KeyLevels (cast(4755 as bigint)); [ Date: 2022-02-26 04:34:25 - Database: acaweb_fx - User: postgres ]
9	3m20s	select stats_createSummaryTables_ChartPattens (cast(4737 as bigint)); [ Date: 2022-02-26 04:34:22 - Database: acaweb_fx - User: postgres ]
10	3m19s	select stats_createSummaryTables_ChartPattens (cast(4738 as bigint)); [ Date: 2022-02-26 04:34:23 - Database: acaweb_fx - User: postgres ]
11	3m17s	WITH rar_max as ( ; [ Date: 2022-02-26 04:40:56 - Database: acaweb_fx - User: postgres - Bind query: yes ]
12	3m17s	select stats_createSummaryTables_KeyLevels (cast(4442 as bigint)); [ Date: 2022-02-26 04:28:41 - Database: acaweb_fx - User: postgres ]
13	3m16s	select stats_createSummaryTables_ChartPattens (cast(4756 as bigint)); [ Date: 2022-02-26 04:34:22 - Database: acaweb_fx - User: postgres ]
14	3m15s	WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a., rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR 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', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#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', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#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 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: 2022-02-26 04:48:45 - Database: acaweb_fx - User: postgres - Bind query: yes ]
15	3m14s	select stats_createSummaryTables_ChartPattens (cast(4749 as bigint)); [ Date: 2022-02-26 04:34:19 - Database: acaweb_fx - User: postgres ]
16	3m14s	select initialtrend, breakout, symmetry, clarity, qtytp, replace(symbol, '''', '''''') as symbol, pattern, direction, hourofday, interval, correct, atbaridentified, quality from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid FROM stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = 3 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = 3 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%'; [ Date: 2022-02-26 04:39:21 - Database: acaweb_fx - User: postgres ]
17	3m14s	select initialtrend, breakout, symmetry, clarity, qtytp, replace(symbol, '''', '''''') as symbol, pattern, direction, hourofday, interval, correct, atbaridentified, quality from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid FROM stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = 4 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = 4 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%'; [ Date: 2022-02-26 04:39:21 - Database: acaweb_fx - User: postgres ]
18	3m14s	select stats_createSummaryTables_ChartPattens (cast(4755 as bigint)); [ Date: 2022-02-26 04:34:19 - Database: acaweb_fx - User: postgres ]
19	3m12s	select initialtrend, breakout, symmetry, clarity, qtytp, replace(symbol, '''', '''''') as symbol, pattern, direction, hourofday, interval, correct, atbaridentified, quality from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid FROM stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = 4130 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = 4130 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%'; [ Date: 2022-02-26 04:39:21 - Database: acaweb_fx - User: postgres ]
20	3m12s	select initialtrend, breakout, symmetry, clarity, qtytp, replace(symbol, '''', '''''') as symbol, pattern, direction, hourofday, interval, correct, atbaridentified, quality from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid inner join ( select min(atbaridentified) as min, max(atbaridentified) as max, statsid FROM stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = 4385 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' group by statsid) minmax on ss.statsid = minmax.statsid where ss.statsid = 4385 and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%'; [ Date: 2022-02-26 04:39:22 - Database: acaweb_fx - User: postgres ]

Time consuming queries


[ User: postgres - Total duration: 2h8m51s - Times executed: 217 ]
[ User: postgres - Total duration: 1h41m33s - Times executed: 220 ]
[ User: postgres - Total duration: 1h26m32s - Times executed: 218 ]
[ User: postgres - Total duration: 1h4m6s - Times executed: 427 ]
[ User: postgres - Total duration: 39m36s - Times executed: 158 ]
[ User: postgres - Total duration: 26m31s - Times executed: 206 ]
[ User: postgres - Total duration: 24m44s - Times executed: 85 ]
[ User: postgres - Total duration: 22m31s - Times executed: 74 ]
[ User: postgres - Total duration: 20m43s - Times executed: 164 ]
[ User: postgres - Total duration: 11m40s - Times executed: 41 ]
[ User: postgres - Total duration: 10m37s - Times executed: 61 ]
[ User: postgres - Total duration: 9m44s - Times executed: 41 ]
[ User: postgres - Total duration: 8m17s - Times executed: 118 ]
[ User: postgres - Total duration: 6m45s - Times executed: 252 ]
[ User: postgres - Total duration: 5m33s - Times executed: 46 ]
[ User: postgres - Total duration: 3m40s - Times executed: 427 ]
[ User: postgres - Total duration: 3m33s - Times executed: 73 ]
[ User: postgres - Total duration: 2m2s - Times executed: 234 ]
[ User: postgres - Total duration: 1m28s - Times executed: 5 ]
[ User: postgres - Total duration: 1m20s - Times executed: 6 ]

Most frequent queries (N)


[ User: postgres - Total duration: 1h4m6s - Times executed: 427 ]
[ User: postgres - Total duration: 3m40s - Times executed: 427 ]
[ User: postgres - Total duration: 36s387ms - Times executed: 361 ]
[ User: postgres - Total duration: 6m45s - Times executed: 252 ]
[ User: postgres - Total duration: 1m18s - Times executed: 251 ]
[ User: postgres - Total duration: 2m2s - Times executed: 234 ]
[ User: postgres - Total duration: 1h41m33s - Times executed: 220 ]
[ User: postgres - Total duration: 1h26m32s - Times executed: 218 ]
[ User: postgres - Total duration: 2h8m51s - Times executed: 217 ]
[ User: postgres - Total duration: 26m31s - Times executed: 206 ]
[ User: postgres - Total duration: 40s402ms - Times executed: 188 ]
[ User: postgres - Total duration: 37s670ms - Times executed: 167 ]
[ User: postgres - Total duration: 20m43s - Times executed: 164 ]
[ User: postgres - Total duration: 39m36s - Times executed: 158 ]
[ User: postgres - Total duration: 8m17s - Times executed: 118 ]
[ User: postgres - Total duration: 1m1s - Times executed: 92 ]
[ User: postgres - Total duration: 11s589ms - Times executed: 92 ]
[ User: postgres - Total duration: 24m44s - Times executed: 85 ]
[ User: postgres - Total duration: 17s205ms - Times executed: 81 ]
[ User: postgres - Total duration: 22m31s - Times executed: 74 ]

Normalized slowest queries (N)


[ User: postgres - Total duration: 2h8m51s - Times executed: 217 ]
[ User: postgres - Total duration: 1h41m33s - Times executed: 220 ]
[ User: postgres - Total duration: 1h26m32s - Times executed: 218 ]
[ User: postgres - Total duration: 22m31s - Times executed: 74 ]
[ User: postgres - Total duration: 1m28s - Times executed: 5 ]
[ User: postgres - Total duration: 24m44s - Times executed: 85 ]
[ User: postgres - Total duration: 11m40s - Times executed: 41 ]
[ User: postgres - Total duration: 39m36s - Times executed: 158 ]
[ User: postgres - Total duration: 9m44s - Times executed: 41 ]
[ User: postgres - Total duration: 1m20s - Times executed: 6 ]
[ User: postgres - Total duration: 10m37s - Times executed: 61 ]
[ User: postgres - Total duration: 1h4m6s - Times executed: 427 ]
[ User: postgres - Total duration: 26m31s - Times executed: 206 ]
[ User: postgres - Total duration: 20m43s - Times executed: 164 ]
[ User: postgres - Total duration: 5m33s - Times executed: 46 ]
[ User: postgres - Total duration: 8m17s - Times executed: 118 ]
[ User: postgres - Total duration: 3m33s - Times executed: 73 ]
[ User: postgres - Total duration: 6m45s - Times executed: 252 ]
[ User: postgres - Total duration: 1m1s - Times executed: 92 ]
[ User: postgres - Total duration: 2m2s - Times executed: 234 ]

Time consuming prepare

Rank

Total duration

Times executed

Min duration

Max duration

Avg duration

Query

1

72ms

1

Details

72ms

SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as 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 = 643 AND groupid = 4738 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 #1

Day	Hour	Count	Duration	Avg duration
Feb 26	04	1	72ms	72ms

[ User: postgres - Total duration: 325ms - Times executed: 1 ]

SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as 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 = 643 AND groupid = 4738 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: 2022-02-26 04:28:39 Duration: 72ms Database: postgres User: acaweb_fx Remote: postgres

2

60ms

1

Details

60ms

WITH rar_max as ( ;

Times Reported Time consuming prepare #2

Day	Hour	Count	Duration	Avg duration
	04	1	60ms	60ms

[ User: postgres - Total duration: 1s30ms - Times executed: 1 ]

WITH rar_max as ( ;

Date: 2022-02-26 04:28:07 Duration: 60ms Database: postgres User: acaweb_fx Remote: postgres

3

51ms

1

Details

51ms

with wh_patitioned as ( select row_number() over (partition by symbol, a.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset as timezoneoffset, ar.patternlengthbars as length, ar.patternquality as quality FROM whatshot_probability whp INNER JOIN autochartist_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_autochartist_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $1 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $2 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $3) AND interval >= 60 AND percent >= 60 AND type = 'cp' and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a ), wh_patitioned2 as ( select row_number() over (partition by symbol, a2.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $4 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $5 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $6) AND interval >= 60 AND percent >= 60 AND type = 'kl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a2 ), wh_patitioned3 as ( select row_number() over (partition by symbol, a3.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, patternprice as predictionpricefrom, patternprice as predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $7 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $8 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $9) AND interval >= 60 AND percent >= 60 AND type = 'ekl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a3 ) select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, timezoneoffset, length, quality from wh_patitioned where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned2 where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned3 where rn = 1;

Times Reported Time consuming prepare #3

Day	Hour	Count	Duration	Avg duration
	04	1	51ms	51ms

[ User: postgres - Total duration: 462ms - Times executed: 1 ]

with wh_patitioned as ( select row_number() over (partition by symbol, a.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset as timezoneoffset, ar.patternlengthbars as length, ar.patternquality as quality FROM whatshot_probability whp INNER JOIN autochartist_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_autochartist_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $1 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $2 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $3) AND interval >= 60 AND percent >= 60 AND type = 'cp' and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a ), wh_patitioned2 as ( select row_number() over (partition by symbol, a2.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $4 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $5 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $6) AND interval >= 60 AND percent >= 60 AND type = 'kl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a2 ), wh_patitioned3 as ( select row_number() over (partition by symbol, a3.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, patternprice as predictionpricefrom, patternprice as predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $7 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $8 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $9) AND interval >= 60 AND percent >= 60 AND type = 'ekl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a3 ) select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, timezoneoffset, length, quality from wh_patitioned where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned2 where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned3 where rn = 1;

Date: 2022-02-26 04:43:03 Duration: 51ms Database: postgres User: acaweb_fx Remote: postgres

Time consuming bind


[ User: postgres - Total duration: 1s915ms - Times executed: 8 ]
[ User: postgres - Total duration: 4m10s - Times executed: 15 ]
[ User: postgres - Total duration: 13s65ms - Times executed: 6 ]
[ User: postgres - Total duration: 325ms - Times executed: 1 ]
[ User: postgres - Total duration: 974ms - Times executed: 3 ]
[ User: postgres - Total duration: 60ms - Times executed: 1 ]
[ User: postgres - Total duration: 3s372ms - Times executed: 1 ]
[ User: postgres - Total duration: 81ms - Times executed: 1 ]
[ User: postgres - Total duration: 545ms - Times executed: 1 ]
[ User: postgres - Total duration: 165ms - Times executed: 1 ]
[ User: postgres - Total duration: 166ms - Times executed: 1 ]
[ User: postgres - Total duration: 35s768ms - Times executed: 2 ]
[ User: postgres - Total duration: 349ms - Times executed: 1 ]
[ User: postgres - Total duration: 1s220ms - Times executed: 1 ]
[ User: postgres - Total duration: 417ms - Times executed: 1 ]
[ User: postgres - Total duration: 494ms - Times executed: 2 ]
[ User: postgres - Total duration: 57ms - Times executed: 1 ]
[ User: postgres - Total duration: 58s925ms - Times executed: 2 ]
[ User: postgres - Total duration: 345ms - Times executed: 2 ]
[ User: postgres - Total duration: 625ms - Times executed: 2 ]

Log levels

Key values

19,043 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	651	3.42%
DETAIL	5,287	27.76%
ERROR	2,889	15.17%
LOG	6,562	34.46%
STATEMENT	3,591	18.86%
WARNING	63	0.33%

Events distribution

Key values

0 PANIC entries
0 FATAL entries
2892 ERROR entries
63 WARNING entries

Most Frequent Errors/Events

Key values

2,850 Max number of times the same event was reported
2,955 Total events found

Rank

Times reported

Error

1

2,850

Details

ERROR: duplicate key value violates unique constraint "..."

Times Reported Most Frequent Error / Event #1

Day	Hour	Count
Feb 26	04	2,850

ERROR: duplicate key value violates unique constraint "pk_t15"
ERROR: duplicate key value violates unique constraint "pk_t30"
ERROR: duplicate key value violates unique constraint "pk_t60"

2

63

Details

WARNING: there is no transaction in progress

Times Reported Most Frequent Error / Event #2

Day	Hour	Count
Feb 26	04	63

WARNING: there is no transaction in progress

3

40

Details

LOG: process ... still waiting for AccessShareLock on relation ... of database ... after ... ms

Times Reported Most Frequent Error / Event #3

Day	Hour	Count
Feb 26	04	40

LOG: process 18000 still waiting for AccessShareLock on relation 52515 of database 51448 after 1000.039 ms at character 28
LOG: process 21870 still waiting for AccessShareLock on relation 52515 of database 51448 after 1000.044 ms at character 28
LOG: process 9414 still waiting for AccessShareLock on relation 52515 of database 51448 after 1000.045 ms at character 28

4

2

Details

ERROR: canceling statement due to user request

Times Reported Most Frequent Error / Event #4

Day	Hour	Count
Feb 26	04	2

ERROR: canceling statement due to user request

Global information

Overview

Global Stats

SQL Traffic

Key values

SELECT Traffic

Key values

INSERT/UPDATE/DELETE Traffic

Key values

Queries duration

Key values

Prepared queries ratio

Key values

General Activity

Connections

Established Connections

Key values

Connections per database

Key values

Connections per database

Connections per user

Key values

Connections per user

Connections per host

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Connections per host

Sessions

Simultaneous sessions

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Histogram of session times

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Sessions per database

Key values

Sessions per database

Sessions per user

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Sessions per user

Sessions per host

Key values

Connections per host

Sessions per application

Key values

Sessions per application

Checkpoints / Restartpoints

Checkpoints Buffers

Key values

Checkpoint write buffers (5 minutes period)

Checkpoints Wal files

Key values

Checkpoint Wal files usage (5 minutes period)

Checkpoints distance

Key values

Checkpoints Activity

Checkpoint causes

Key values

Checkpoint causes

Temporary Files

Size of temporary files

Key values

Number of temporary files

Key values

Temporary Files Activity

Queries generating the most temporary files (N)

Queries generating the largest temporary files

Vacuums

Vacuums / Analyzes Distribution

Key values

Autovacuum actions (5 minutes period)

Analyzes per table

Key values

Analyzes per tables

Vacuums per table

Key values

Vacuums per tables

Tuples removed per table

Key values

Tuples removed per tables

Pages removed per table

Key values

Pages removed per tables