pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Sat Apr 16 04:59:05 2022
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2022-04-16_060000.log
Parsed 13,308 log entries in 4s
Log start from 2022-04-16 06:00:02 to 2022-04-16 06:59:00

Global Stats

189 Number of unique normalized queries
3,411 Number of queries
7h55m4s Total query duration
2022-04-16 06:00:09 First query
2022-04-16 06:59:00 Last query
34 queries/s at 2022-04-16 06:24:09 Query peak

7h55m4s Total query duration
10m43s Prepare/parse total duration
2s83ms Bind total duration
7h44m19s Execute total duration

724 Number of events
5 Number of unique normalized events
651 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

586 Number temporary file
531.43 MiB Max size of temporary file
9.68 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
3,411 Average queries per session
7h55m4s Average queries duration per session
n/a Average idle time per session

0 Total number of connections
2 Total number of databases

SQL Traffic

Key values

34 queries/s Query Peak
2022-04-16 06:24:09 Date

SELECT Traffic

Key values

28 queries/s Query Peak
2022-04-16 06:24:01 Date

INSERT/UPDATE/DELETE Traffic

Key values

32 queries/s Query Peak
2022-04-16 06:24:09 Date

Queries duration

Key values

7h55m4s 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)
Apr 16	06	3,411	50ms	8m8s	8s167ms	3m43s	4m13s	6h19m49s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Apr 16	06	2,292	119	5s416ms	1m26s	2m15s	3m30s

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Apr 16	06	115	32	122	0	43s917ms	0ms	432ms	7s28ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
Apr 16	06	2	2,707	1,353.50	0.06%

Day	Hour	Count	Average / Second
Apr 16	06	0	0.00/s

Day	Hour	Count	Average Duration	Average idle time
Apr 16	06	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
Apr 16	06	0	0s	0s	0s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
Apr 16	06	0	0	0	0	0s	0s

Day	Hour	Count	Avg time (sec)
Apr 16	06	0	0s

Day	Hour	Mean distance	Mean estimate
Apr 16	06	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

89.86 MiB Temp Files size Peak
2022-04-16 06:30:14 Date

Number of temporary files

Key values

8 per second Temp Files Peak
2022-04-16 06:41:50 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
Apr 16	06	586	5.54 GiB	9.68 MiB

↑ Back to the top of the Temporary Files Activity table

Queries generating the most temporary files (N)


Date: 2022-04-16 06:02:06
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:42:19
Duration: 2s237ms
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:02:34
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:02:43
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:09:48
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:40:37
Duration: 31s803ms
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:06:20
Duration: 2s718ms
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:18:18
Duration: 0ms
Database: acaweb_fx
User: postgres

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	48	331.61 MiB	5.31 MiB	8.88 MiB	6.91 MiB	select resultuid from relevance_keylevels_results order by resultuid desc limit ?), kr as ( select a., rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end), all_results as ( select kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?)), results as ( select distinct on (symbolid) from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc; SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1), kr AS ( SELECT a., rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224)) AND ($225 = 0 OR p.patternname in ($226)) AND ($227 = 0 OR kr.patternclassid in ($228, $229)) AND ($230 = 0 OR kr.patternlengthbars <= $231)), results AS ( SELECT DISTINCT ON (symbolid) FROM all_results WHERE (FALSE = $232 OR relevant = 1) AND ($233 = 0 OR age <= $234) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC; Date: 2022-04-16 06:02:06 Duration: 0ms Database: acaweb_fx User: postgres
2	28	355.73 MiB	3.52 MiB	26.09 MiB	12.70 MiB	select stats_createsummarytables_by_groups_keylevels (cast(? as int)); select stats_createSummaryTables_by_groups_KeyLevels (cast(246 as int)); Date: 2022-04-16 06:42:19 Duration: 2s237ms Database: acaweb_fx User: postgres select stats_createSummaryTables_by_groups_KeyLevels (cast(103 as int)); Date: 2022-04-16 06:41:36 Duration: 1s995ms Database: acaweb_fx User: postgres select stats_createSummaryTables_by_groups_KeyLevels (cast(216 as int)); Date: 2022-04-16 06:41:57 Duration: 1s970ms Database: acaweb_fx User: postgres
3	24	174.66 MiB	5.98 MiB	8.58 MiB	7.28 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: 2022-04-16 06:02:34 Duration: 0ms Database: acaweb_fx User: postgres
4	24	166.03 MiB	5.33 MiB	8.51 MiB	6.92 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: 2022-04-16 06:02:43 Duration: 0ms Database: acaweb_fx User: postgres
5	11	36.50 MiB	3.32 MiB	3.32 MiB	3.32 MiB	select resultuid from relevance_fibonacci_results order by resultuid desc limit ?), fr as ( select a., rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end), all_results as ( select fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp)))), results as ( select distinct on (symbolid) from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc; SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a., rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322, $323, $324, $325, $326, $327, $328, $329, $330, $331, $332, $333, $334, $335, $336, $337, $338, $339, $340)) AND ($341 = 0 OR fr.pattern in ($342)) AND ($343 = 0 OR fr.patternlengthbars <= $344) AND ($345 = 0 OR ($346 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($347 = 2 AND fr.timed < cast('1970-01-01' as timestamp)))), results AS ( SELECT DISTINCT ON (symbolid) FROM all_results WHERE (FALSE = $348 OR relevant = 1) AND ($349 = 0 OR age <= $350) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC; Date: 2022-04-16 06:09:48 Duration: 0ms Database: acaweb_fx User: postgres
6	3	106.87 MiB	20.24 MiB	48.98 MiB	35.62 MiB	select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where 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 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: 2022-04-16 06:40:37 Duration: 31s803ms Database: acaweb_fx User: postgres select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where 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: 2022-04-16 06:41:06 Duration: 14s772ms Database: acaweb_fx User: postgres select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where 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: 2022-04-16 06:41:23 Duration: 10s715ms Database: acaweb_fx User: postgres
7	3	13.79 MiB	3.02 MiB	7.75 MiB	4.60 MiB	select fixcandlegaps (?, false); select fixcandlegaps ('ATFX', false); Date: 2022-04-16 06:06:20 Duration: 2s718ms Database: acaweb_fx User: postgres select fixcandlegaps ('GKFXPRIME', false); Date: 2022-04-16 06:06:29 Duration: 2s604ms Database: acaweb_fx User: postgres select fixcandlegaps ('AKFX', false); Date: 2022-04-16 06:06:16 Duration: 2s278ms Database: acaweb_fx User: postgres
8	2	17.83 MiB	8.91 MiB	8.91 MiB	8.91 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: 2022-04-16 06:18:18 Duration: 0ms Database: acaweb_fx User: postgres

Queries generating the largest temporary files


[ Date: 2022-04-16 06:41:22 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:40:36 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:41:58 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:41:59 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:42:15 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:42:17 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:41:05 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:41:35 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:42:29 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:41:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:42:10 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:42:06 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:42:24 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:42:12 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:41:56 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:41:48 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:41:53 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:42:08 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:42:23 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:42:37 - Database: acaweb_fx - User: postgres ]

Rank	Size	Query
1	48.98 MiB	select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where 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: 2022-04-16 06:41:22 - Database: acaweb_fx - User: postgres ]
2	37.65 MiB	select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where 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: 2022-04-16 06:40:36 - Database: acaweb_fx - User: postgres ]
3	26.09 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(217 as int)); [ Date: 2022-04-16 06:41:58 - Database: acaweb_fx - User: postgres ]
4	26.09 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(221 as int)); [ Date: 2022-04-16 06:41:59 - Database: acaweb_fx - User: postgres ]
5	26.05 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(244 as int)); [ Date: 2022-04-16 06:42:15 - Database: acaweb_fx - User: postgres ]
6	26.05 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(246 as int)); [ Date: 2022-04-16 06:42:17 - Database: acaweb_fx - User: postgres ]
7	20.24 MiB	select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where 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: 2022-04-16 06:41:05 - Database: acaweb_fx - User: postgres ]
8	20.03 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(103 as int)); [ Date: 2022-04-16 06:41:35 - Database: acaweb_fx - User: postgres ]
9	17.16 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(259 as int)); [ Date: 2022-04-16 06:42:29 - Database: acaweb_fx - User: postgres ]
10	15.70 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(209 as int)); [ Date: 2022-04-16 06:41:51 - Database: acaweb_fx - User: postgres ]
11	15.70 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(237 as int)); [ Date: 2022-04-16 06:42:10 - Database: acaweb_fx - User: postgres ]
12	15.20 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(230 as int)); [ Date: 2022-04-16 06:42:06 - Database: acaweb_fx - User: postgres ]
13	15.20 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(251 as int)); [ Date: 2022-04-16 06:42:24 - Database: acaweb_fx - User: postgres ]
14	15.15 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(239 as int)); [ Date: 2022-04-16 06:42:12 - Database: acaweb_fx - User: postgres ]
15	14.91 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(216 as int)); [ Date: 2022-04-16 06:41:56 - Database: acaweb_fx - User: postgres ]
16	14.61 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(201 as int)); [ Date: 2022-04-16 06:41:48 - Database: acaweb_fx - User: postgres ]
17	14.59 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(213 as int)); [ Date: 2022-04-16 06:41:53 - Database: acaweb_fx - User: postgres ]
18	13.27 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(235 as int)); [ Date: 2022-04-16 06:42:08 - Database: acaweb_fx - User: postgres ]
19	12.82 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(250 as int)); [ Date: 2022-04-16 06:42:23 - Database: acaweb_fx - User: postgres ]
20	12.75 MiB	select stats_createSummaryTables_by_groups_KeyLevels (cast(273 as int)); [ Date: 2022-04-16 06:42:37 - 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
Apr 16	06	0	0

↑ Back to the top of the Autovacuum Activity table

Locks by types

Key values

AccessShareLock Main Lock Type
62 locks Total

Chart
Table

Type	Object	Count	Total Duration	Average Duration (s)
AccessExclusiveLock		2	15m	7m30s
	relation	2	15m	7m30s
AccessShareLock		60	6h15m14s	6m15s
	relation	60	6h15m14s	6m15s
	Total	62	6h30m14s	6m17s

Most frequent waiting queries (N)


Date: 2022-04-16 06:24:01
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:24:09
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:24:09
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:24:01
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:24:09
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:24:01
Database: acaweb_fx
User: postgres
Date: 2022-04-16 06:24:01
Database: acaweb_fx
User: postgres

Rank	Count	Total time	Min time	Max time	Avg duration	Query
1	25	2h47m45s	5m59s	6m57s	6m42s	select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?; SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ADSSECURITIES - 1'; Date: 2022-04-16 06:24:01 Database: acaweb_fx User: postgres SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AKFX - 2'; Date: 2022-04-16 06:24:01 Database: acaweb_fx User: postgres SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; Date: 2022-04-16 06:24:01 Database: acaweb_fx User: postgres
2	19	1h56m38s	6m8s	6m8s	6m8s	update datafeeds_latestrun set latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime from ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike ?) as subquery where datafeeds_latestrun.feedname ilike ?; UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'BMFN') AS subquery WHERE datafeeds_latestrun.feedname ilike 'BMFN'; Date: 2022-04-16 06:24:09 Database: acaweb_fx User: postgres UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'VALBURYFUTURES') AS subquery WHERE datafeeds_latestrun.feedname ilike 'VALBURYFUTURES'; Date: 2022-04-16 06:24:09 Database: acaweb_fx User: postgres UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'SECONDBMFN') AS subquery WHERE datafeeds_latestrun.feedname ilike 'SECONDBMFN'; Date: 2022-04-16 06:24:09 Database: acaweb_fx User: postgres
3	13	1h19m48s	6m8s	6m8s	6m8s	update datafeeds_latestrun set latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime from ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = ?) as subquery where datafeeds_latestrun.feedname = ?; UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'MILLENNIUMPF') AS subquery WHERE datafeeds_latestrun.feedname = 'MILLENNIUMPF'; Date: 2022-04-16 06:24:09 Database: acaweb_fx User: postgres UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'GKINVESTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'GKINVESTMT5'; Date: 2022-04-16 06:24:09 Database: acaweb_fx User: postgres UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'BDSWISS') AS subquery WHERE datafeeds_latestrun.feedname = 'BDSWISS'; Date: 2022-04-16 06:24:09 Database: acaweb_fx User: postgres
4	2	10m43s	5m16s	5m26s	5m21s	select recognitionengine, to_char(datetimeupdate, ?) from latest_candle_datetime_per_receng; select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng; Date: 2022-04-16 06:24:01 Database: acaweb_fx User: postgres
5	1	8m	8m	8m	8m	refresh materialized view latest_t15_candle_view; refresh materialized view latest_t15_candle_view; Date: 2022-04-16 06:24:09 Database: acaweb_fx User: postgres refresh materialized view latest_t15_candle_view; Date: 2022-04-16 06:46:10 Database: acaweb_fx User: postgres refresh materialized view latest_t15_candle_view; Date: 2022-04-16 06:31:09 Database: acaweb_fx User: postgres
6	1	7m	7m	7m	7m	refresh materialized view latest_candle_datetime_per_receng; refresh materialized view latest_candle_datetime_per_receng; Date: 2022-04-16 06:24:01 Database: acaweb_fx User: postgres refresh materialized view latest_candle_datetime_per_receng; Date: 2022-04-16 06:32:01 Database: acaweb_fx User: postgres refresh materialized view latest_candle_datetime_per_receng; Date: 2022-04-16 06:47:01 Database: acaweb_fx User: postgres
7	1	18s176ms	18s176ms	18s176ms	18s176ms	select extract(epoch from datetimeupdate) from latest_candle_datetime_per_receng where recognitionengine ilike ?; SELECT extract(epoch from datetimeupdate) FROM latest_candle_datetime_per_receng WHERE recognitionengine ilike 'AMANACAPITAL - 1'; Date: 2022-04-16 06:24:01 Database: acaweb_fx User: postgres SELECT extract(epoch from datetimeupdate) FROM latest_candle_datetime_per_receng WHERE recognitionengine ilike 'AMANACAPITAL - 1'; Date: 2022-04-16 06:24:01 Database: acaweb_fx User: postgres

Queries that waited the most


[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]

Rank	Wait time	Query
1	8m	refresh materialized view latest_t15_candle_view; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
2	7m	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
3	6m57s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ADSSECURITIES - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
4	6m57s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
5	6m57s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AKFX - 2'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
6	6m54s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Forex4You - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
7	6m53s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IQFEED_FX - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
8	6m53s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GO_MARKETS - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
9	6m49s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
10	6m49s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'EVERESTMT5 - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
11	6m49s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
12	6m48s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
13	6m48s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ADSSECURITIES - 2'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
14	6m46s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'DKFX - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
15	6m43s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'BMFN - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
16	6m40s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
17	6m40s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'PHILLIPFUTURES - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
18	6m38s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ALBForex - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
19	6m37s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 2'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
20	6m37s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GKINVESTMT5 - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]

Queries by type

Key values

2,292 Total read queries
1,111 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	2,292	67.19%
INSERT	115	3.37%
UPDATE	32	0.94%
DELETE	122	3.58%
COPY FROM	0	0.00%
COPY TO	119	3.49%
CTE	723	21.20%
DDL	0	0.00%
TCL	0	0.00%
CURSOR	0	0.00%
OTHERS	8	0.23%

Queries by database

Key values

acaweb_fx Main database
3,352 Requests
7h25m40s (acaweb_fx)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	3,352	7h25m40s
	copy to	61	18m45s
	cte	723	34m18s
	delete	122	11s232ms
	insert	115	14s444ms
	others	8	15m28s
	select	2,291	3h15s
	update	32	3h16m28s
acaweb_fx_integer	Total	59	18m38s
	copy to	58	18m38s
	select	1	127ms

Queries by user

Key values

postgres Main user
3,411 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	3,411	7h44m19s
	copy to	119	37m23s
	cte	723	34m18s
	delete	122	11s232ms
	insert	115	14s444ms
	others	8	15m28s
	select	2,292	3h15s
	update	32	3h16m28s

Duration by user

Key values

7h44m19s (postgres) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	3,411	7h44m19s
	copy to	119	37m23s
	cte	723	34m18s
	delete	122	11s232ms
	insert	115	14s444ms
	others	8	15m28s
	select	2,292	3h15s
	update	32	3h16m28s

Queries by host

Key values

unknown Main host
3,411 Requests
7h44m19s (unknown)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
unknown	Total	3,411	7h44m19s
	copy to	119	37m23s
	cte	723	34m18s
	delete	122	11s232ms
	insert	115	14s444ms
	others	8	15m28s
	select	2,292	3h15s
	update	32	3h16m28s

Queries by application

Key values

unknown Main application
3,411 Requests
7h44m19s (unknown)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
unknown	Total	3,411	7h44m19s
	copy to	119	37m23s
	cte	723	34m18s
	delete	122	11s232ms
	insert	115	14s444ms
	others	8	15m28s
	select	2,292	3h15s
	update	32	3h16m28s

Number of cancelled queries

Key values

1 per second Cancelled query Peak
2022-04-16 06:21:43 Date

Number of cancelled queries (5 minutes period)

Histogram of query times

Key values

1,374 50-100ms 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	1,374	40.28%
100-500ms	1,224	35.88%
500-1000ms	232	6.80%
1000-10000ms	428	12.55%
> 10000ms	153	4.49%

Slowest individual queries


[ Date: 2022-04-16 06:24:09 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]

Rank	Duration	Query
1	8m8s	refresh materialized view latest_t15_candle_view; [ Date: 2022-04-16 06:24:09 - Database: acaweb_fx - User: postgres ]
2	7m	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
3	6m57s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ADSSECURITIES - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
4	6m57s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AKFX - 2'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
5	6m57s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
6	6m54s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Forex4You - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
7	6m53s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IQFEED_FX - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
8	6m53s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GO_MARKETS - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
9	6m49s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
10	6m49s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
11	6m49s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'EVERESTMT5 - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
12	6m48s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
13	6m48s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ADSSECURITIES - 2'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
14	6m46s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'DKFX - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
15	6m43s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'BMFN - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
16	6m40s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
17	6m40s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'PHILLIPFUTURES - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
18	6m38s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ALBForex - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
19	6m37s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 2'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]
20	6m37s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GKINVESTMT5 - 1'; [ Date: 2022-04-16 06:24:01 - Database: acaweb_fx - User: postgres ]

Time consuming queries


[ User: postgres - Total duration: 2h47m45s - Times executed: 25 ]
[ User: postgres - Total duration: 1h56m39s - Times executed: 19 ]
[ User: postgres - Total duration: 1h19m48s - Times executed: 13 ]
[ User: postgres - Total duration: 10m38s - Times executed: 86 ]
[ User: postgres - Total duration: 9m39s - Times executed: 109 ]
[ User: postgres - Total duration: 8m27s - Times executed: 4 ]
[ User: postgres - Total duration: 8m14s - Times executed: 162 ]
[ User: postgres - Total duration: 7m - Times executed: 4 ]
[ User: postgres - Total duration: 6m56s - Times executed: 1383 ]
[ User: postgres - Total duration: 5m19s - Times executed: 2 ]
[ User: postgres - Total duration: 4m21s - Times executed: 2 ]
[ User: postgres - Total duration: 3m48s - Times executed: 2 ]
[ User: postgres - Total duration: 3m20s - Times executed: 2 ]
[ User: postgres - Total duration: 2m27s - Times executed: 37 ]
[ User: postgres - Total duration: 2m21s - Times executed: 2 ]
[ User: postgres - Total duration: 2m14s - Times executed: 2 ]
[ User: postgres - Total duration: 2m5s - Times executed: 2 ]
[ User: postgres - Total duration: 2m - Times executed: 2 ]
[ User: postgres - Total duration: 1m37s - Times executed: 2 ]
[ User: postgres - Total duration: 1m36s - Times executed: 2 ]

Most frequent queries (N)


[ User: postgres - Total duration: 6m56s - Times executed: 1383 ]
[ User: postgres - Total duration: 1m6s - Times executed: 166 ]
[ User: postgres - Total duration: 8m14s - Times executed: 162 ]
[ User: postgres - Total duration: 34s239ms - Times executed: 124 ]
[ User: postgres - Total duration: 53s541ms - Times executed: 114 ]
[ User: postgres - Total duration: 9m39s - Times executed: 109 ]
[ User: postgres - Total duration: 9s629ms - Times executed: 109 ]
[ User: postgres - Total duration: 14s617ms - Times executed: 87 ]
[ User: postgres - Total duration: 10m38s - Times executed: 86 ]
[ User: postgres - Total duration: 7s626ms - Times executed: 78 ]
[ User: postgres - Total duration: 14s248ms - Times executed: 74 ]
[ User: postgres - Total duration: 5s629ms - Times executed: 72 ]
[ User: postgres - Total duration: 5s790ms - Times executed: 55 ]
[ User: postgres - Total duration: 3s811ms - Times executed: 39 ]
[ User: postgres - Total duration: 4s650ms - Times executed: 38 ]
[ User: postgres - Total duration: 2m27s - Times executed: 37 ]
[ User: postgres - Total duration: 9s674ms - Times executed: 30 ]
[ User: postgres - Total duration: 3s222ms - Times executed: 29 ]
[ User: postgres - Total duration: 2s211ms - Times executed: 28 ]
[ User: postgres - Total duration: 6s872ms - Times executed: 27 ]

Normalized slowest queries (N)


[ User: postgres - Total duration: 2h47m45s - Times executed: 25 ]
[ User: postgres - Total duration: 1h56m39s - Times executed: 19 ]
[ User: postgres - Total duration: 1h19m48s - Times executed: 13 ]
[ User: postgres - Total duration: 5m19s - Times executed: 2 ]
[ User: postgres - Total duration: 4m21s - Times executed: 2 ]
[ User: postgres - Total duration: 8m27s - Times executed: 4 ]
[ User: postgres - Total duration: 3m48s - Times executed: 2 ]
[ User: postgres - Total duration: 7m - Times executed: 4 ]
[ User: postgres - Total duration: 3m20s - Times executed: 2 ]
[ User: postgres - Total duration: 2m21s - Times executed: 2 ]
[ User: postgres - Total duration: 2m14s - Times executed: 2 ]
[ User: postgres - Total duration: 2m5s - Times executed: 2 ]
[ User: postgres - Total duration: 2m - Times executed: 2 ]
[ User: postgres - Total duration: 1m37s - Times executed: 2 ]
[ User: postgres - Total duration: 1m36s - Times executed: 2 ]
[ User: postgres - Total duration: 10m38s - Times executed: 86 ]
[ User: postgres - Total duration: 9m39s - Times executed: 109 ]
[ User: postgres - Total duration: 2m27s - Times executed: 37 ]
[ User: postgres - Total duration: 8m14s - Times executed: 162 ]
[ User: postgres - Total duration: 53s541ms - Times executed: 114 ]

Time consuming prepare

Rank	Total duration	Times executed	Min duration	Max duration	Avg duration	Query
NO DATASET

Time consuming bind

Rank

Total duration

Times executed

Min duration

Max duration

Avg duration

Query

1

62ms

1

Details

62ms

/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 643 AND sg.groupid = 515852059887101308 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;

Times Reported Time consuming bind #1

Day	Hour	Count	Duration	Avg duration
Apr 16	06	1	62ms	62ms

[ User: postgres - Total duration: 74ms - Times executed: 1 ]

/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 643 AND sg.groupid = 515852059887101308 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;

Date: 2022-04-16 06:20:44 Duration: 62ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1183332601', $7 = '0'

2

56ms

1

Details

56ms

/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 643 AND sg.groupid = 515852059885848308 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 526713196701575302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;

Times Reported Time consuming bind #2

Day	Hour	Count	Duration	Avg duration
	06	1	56ms	56ms

[ User: postgres - Total duration: 96ms - Times executed: 1 ]

/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 643 AND sg.groupid = 515852059885848308 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 526713196701575302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;

Date: 2022-04-16 06:04:43 Duration: 56ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-431037385', $7 = '0'

3

50ms

1

Details

50ms

/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 643 AND sg.groupid = 515852059887617308 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 519407059734029302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;

Times Reported Time consuming bind #3

Day	Hour	Count	Duration	Avg duration
	06	1	50ms	50ms

[ User: postgres - Total duration: 73ms - Times executed: 1 ]

/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, errormargin as rq, (1 - noise) as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 643 AND sg.groupid = 515852059887617308 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 519407059734029302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;

Date: 2022-04-16 06:12:44 Duration: 50ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1765082719', $7 = '0'

Log levels

Key values

8,746 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	324	3.70%
DETAIL	2,632	30.09%
ERROR	719	8.22%
LOG	4,133	47.26%
STATEMENT	938	10.72%

Events distribution

Key values

0 PANIC entries
0 FATAL entries
724 ERROR entries
0 WARNING entries

Most Frequent Errors/Events

Key values

651 Max number of times the same event was reported
724 Total events found


Date: 2022-04-16 06:40:03
Database: acaweb_fx
Application: 
User: postgres
Remote: 
Date: 2022-04-16 06:17:04
Database: acaweb_fx
Application: 
User: postgres
Remote: 
Date: 2022-04-16 06:21:43
Database: acaweb_fx
Application: 
User: postgres
Remote: 
Date: 2022-04-16 06:16:02
Database: acaweb_fx
Application: 
User: postgres
Remote: 
Date: 2022-04-16 06:40:03
Database: acaweb_fx
Application: 
User: postgres
Remote: 

Global information

Overview

Global Stats

SQL Traffic

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SELECT Traffic

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INSERT/UPDATE/DELETE Traffic

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Queries duration

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Prepared queries ratio

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General Activity

Connections

Established Connections

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Checkpoints / Restartpoints

Checkpoints Buffers

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Checkpoints Wal files

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Checkpoint causes

Temporary Files

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Temporary Files Activity

Queries generating the most temporary files (N)

Queries generating the largest temporary files

Vacuums

Vacuums / Analyzes Distribution

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Analyzes per table

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Vacuums per table

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