pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Fri Apr 1 04:59:07 2022
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2022-04-01_060000.log
Parsed 17,066 log entries in 6s
Log start from 2022-04-01 06:00:01 to 2022-04-01 06:59:00

Global Stats

177 Number of unique normalized queries
4,438 Number of queries
5h51m2s Total query duration
2022-04-01 06:00:01 First query
2022-04-01 06:59:00 Last query
31 queries/s at 2022-04-01 06:24:51 Query peak

5h51m2s Total query duration
9m34s Prepare/parse total duration
11s869ms Bind total duration
5h41m16s Execute total duration

445 Number of events
5 Number of unique normalized events
335 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

488 Number temporary file
346.24 MiB Max size of temporary file
9.43 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
4,438 Average queries per session
5h51m2s 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

31 queries/s Query Peak
2022-04-01 06:24:51 Date

SELECT Traffic

Key values

17 queries/s Query Peak
2022-04-01 06:53:28 Date

INSERT/UPDATE/DELETE Traffic

Key values

30 queries/s Query Peak
2022-04-01 06:24:51 Date

Queries duration

Key values

5h51m2s 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 01	06	4,438	50ms	19m32s	4s613ms	3m19s	4m6s	4h11m18s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Apr 01	06	3,265	132	1s9ms	1m11s	2m16s	2m47s

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Apr 01	06	8	43	0	50	2m2s	87ms	469ms	663ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
Apr 01	06	2	4,006	2,003.00	0.05%

Day	Hour	Count	Average / Second
Apr 01	06	0	0.00/s

Day	Hour	Count	Average Duration	Average idle time
Apr 01	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 01	06	0	0s	0s	0s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
Apr 01	06	0	0	0	0	0s	0s

Day	Hour	Count	Avg time (sec)
Apr 01	06	0	0s

Day	Hour	Mean distance	Mean estimate
Apr 01	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

73.19 MiB Temp Files size Peak
2022-04-01 06:18:15 Date

Number of temporary files

Key values

36 per second Temp Files Peak
2022-04-01 06:06:18 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
Apr 01	06	488	4.49 GiB	9.43 MiB

↑ Back to the top of the Temporary Files Activity table

Queries generating the most temporary files (N)


Date: 2022-04-01 06:02:05
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:00:03
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:02:23
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:02:14
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:01:03
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:00:42
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:02:45
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:06:19
Duration: 3s34ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:00:16
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:00:07
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:01:52
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:20:40
Duration: 6s246ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:08:10
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:05:46
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:04:10
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:16:10
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:37:17
Duration: 0ms
Database: acaweb_fx
User: postgres

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	43	335.15 MiB	5.88 MiB	9.20 MiB	7.79 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, identified desc, length desc ) select * from results order by identified desc, length desc; SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1), kr AS ( SELECT a., rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $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)), 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, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC; Date: 2022-04-01 06:02:05 Duration: 0ms Database: acaweb_fx User: postgres
2	25	1.74 GiB	4.36 MiB	161.16 MiB	71.12 MiB	)) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?; )) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; Date: 2022-04-01 06:00:03 Duration: 0ms Database: acaweb_fx User: postgres
3	24	160.33 MiB	5.59 MiB	7.83 MiB	6.68 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: 2022-04-01 06:02:23 Duration: 0ms Database: acaweb_fx User: postgres
4	23	182.83 MiB	6.80 MiB	9.22 MiB	7.95 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: 2022-04-01 06:02:14 Duration: 0ms Database: acaweb_fx User: postgres
5	12	86.73 MiB	4.88 MiB	10.51 MiB	7.23 MiB	select * from ( select pricedatetime, open, high, low, close, volume, bsf from t0 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc; SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T0 WHERE symbolid = $1 AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC; Date: 2022-04-01 06:01:03 Duration: 0ms Database: acaweb_fx User: postgres
6	12	110.30 MiB	9.16 MiB	9.21 MiB	9.19 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: 2022-04-01 06:00:42 Duration: 0ms Database: acaweb_fx User: postgres
7	11	36.34 MiB	3.30 MiB	3.31 MiB	3.30 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, identified desc, length desc ) 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)) AND ($246 = 0 OR fr.pattern in ($247)) AND ($248 = 0 OR fr.patternlengthbars <= $249) AND ($250 = 0 OR ($251 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($252 = 2 AND fr.timed < cast('1970-01-01' as timestamp)))), results AS ( SELECT DISTINCT ON (symbolid) FROM all_results WHERE (FALSE = $253 OR relevant = 1) AND ($254 = 0 OR age <= $255) ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC; Date: 2022-04-01 06:02:45 Duration: 0ms Database: acaweb_fx User: postgres
8	11	112.21 MiB	2.09 MiB	59.84 MiB	10.20 MiB	select fixcandlegaps (?, false); select fixcandlegaps ('ATFX', false); Date: 2022-04-01 06:06:19 Duration: 3s34ms Database: acaweb_fx User: postgres select fixcandlegaps ('XM', false); Date: 2022-04-01 06:06:08 Duration: 2s949ms Database: acaweb_fx User: postgres select fixcandlegaps ('AKFX', false); Date: 2022-04-01 06:06:14 Duration: 2s619ms Database: acaweb_fx User: postgres
9	9	57.93 MiB	4.27 MiB	10.50 MiB	6.44 MiB	)) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?; )) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851392039012301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; Date: 2022-04-01 06:00:16 Duration: 0ms Database: acaweb_fx User: postgres
10	7	24.43 MiB	3.48 MiB	3.49 MiB	3.49 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, 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))) 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, 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)) AND ($15 = 0 OR fr.pattern in ($16)) AND ($17 = 0 OR fr.patternlengthbars <= $18) AND ($19 = 0 OR ($20 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($21 = 2 AND fr.timed < cast('1970-01-01' as timestamp))) 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: 2022-04-01 06:00:07 Duration: 0ms Database: acaweb_fx User: postgres
11	6	55.28 MiB	9.20 MiB	9.23 MiB	9.21 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: 2022-04-01 06:01:52 Duration: 0ms Database: acaweb_fx User: postgres
12	6	28.48 MiB	4.35 MiB	6.19 MiB	4.75 MiB	select distinct a.symbolid, p.resultuid, case when a.breakout >= ? then ? else ? end as type, a.resultid, a.bandwidth, a.patternlengthbars, a.patternendtime, a.resy0, a.supporty0, a.resy1, a.supporty1, a.direction, a.predictionpriceto, a.patternendprice, a.predictionpricefrom, a.resx0, a.supportx0, a.resgradient, a.supportgradient from relevance_autochartist_results p inner join autochartist_results a on p.resultuid = a.resultuid inner join autochartist_stocklist asl on a.symbolid = asl.symbolid where asl.enabled = ? and asl.recognitionengine ilike ?; SELECT distinct a.symbolid, p.resultuid, case when a.breakout >= 0 then 1 else 2 end as type, a.resultid, a.bandwidth, a.patternlengthbars, a.patternendtime, a.resy0, a.supporty0, a.resy1, a.supporty1, a.direction, a.predictionpriceto, a.patternendprice, a.predictionpricefrom, a.resx0, a.supportx0, a.resgradient, a.supportgradient FROM relevance_autochartist_results p INNER JOIN autochartist_results a ON p.resultuid = a.resultuid INNER JOIN autochartist_stocklist asl ON a.symbolid = asl.symbolid WHERE asl.enabled = 1 AND asl.recognitionengine ILIKE 'GO_MARKETS - 1'; Date: 2022-04-01 06:20:40 Duration: 6s246ms Database: acaweb_fx User: postgres SELECT distinct a.symbolid, p.resultuid, case when a.breakout >= 0 then 1 else 2 end as type, a.resultid, a.bandwidth, a.patternlengthbars, a.patternendtime, a.resy0, a.supporty0, a.resy1, a.supporty1, a.direction, a.predictionpriceto, a.patternendprice, a.predictionpricefrom, a.resx0, a.supportx0, a.resgradient, a.supportgradient FROM relevance_autochartist_results p INNER JOIN autochartist_results a ON p.resultuid = a.resultuid INNER JOIN autochartist_stocklist asl ON a.symbolid = asl.symbolid WHERE asl.enabled = 1 AND asl.recognitionengine ILIKE 'RakutenSecurities - 1'; Date: 2022-04-01 06:17:55 Duration: 922ms Database: acaweb_fx User: postgres SELECT distinct a.symbolid, p.resultuid, case when a.breakout >= 0 then 1 else 2 end as type, a.resultid, a.bandwidth, a.patternlengthbars, a.patternendtime, a.resy0, a.supporty0, a.resy1, a.supporty1, a.direction, a.predictionpriceto, a.patternendprice, a.predictionpricefrom, a.resx0, a.supportx0, a.resgradient, a.supportgradient FROM relevance_autochartist_results p INNER JOIN autochartist_results a ON p.resultuid = a.resultuid INNER JOIN autochartist_stocklist asl ON a.symbolid = asl.symbolid WHERE asl.enabled = 1 AND asl.recognitionengine ILIKE 'GLOBALGTMT5 - 1'; Date: 2022-04-01 06:45:12 Duration: 461ms Database: acaweb_fx User: postgres
13	5	24.45 MiB	4.88 MiB	4.90 MiB	4.89 MiB	when ? then ? when ? then ? when ? then ? when ? then ? when ? then ? end)) order by relevant desc, age asc, patternendtime desc, qtp desc limit ?; when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; Date: 2022-04-01 06:08:10 Duration: 0ms Database: acaweb_fx User: postgres
14	3	31.25 MiB	10.25 MiB	10.51 MiB	10.42 MiB	) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?; ) OR ((s.symbol ilike '%eurchf%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851411118811301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; Date: 2022-04-01 06:05:46 Duration: 0ms Database: acaweb_fx User: postgres
15	3	20.27 MiB	4.88 MiB	10.50 MiB	6.76 MiB	) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?; ) OR ((c.symbol ilike '%audchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audnzd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurgbp%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdcad%' AND timegranularity <= 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; Date: 2022-04-01 06:04:10 Duration: 0ms Database: acaweb_fx User: postgres
16	2	9.75 MiB	4.87 MiB	4.88 MiB	4.88 MiB	) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? and ((rar.age is null and a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)) or rar.age >= ( case c.timegranularity when ? then ? when ? then ? when ? then ? when ? then ? when ? then ? end)) order by relevant desc, age asc, patternendtime desc, qtp desc limit ?; ) OR ((c.symbol ilike '%audchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audnzd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurgbp%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdcad%' AND timegranularity <= 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= ( case c.timegranularity when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; Date: 2022-04-01 06:16:10 Duration: 0ms Database: acaweb_fx User: postgres
17	1	10.25 MiB	10.25 MiB	10.25 MiB	10.25 MiB	) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?; ) OR ((c.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurgbp%' AND timegranularity <= 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; Date: 2022-04-01 06:37:17 Duration: 0ms Database: acaweb_fx User: postgres

Queries generating the largest temporary files


[ Date: 2022-04-01 06:12:11 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:16:28 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:04:14 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:08:09 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:20:19 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:15 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:28:21 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:02:25 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:28:39 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:19 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:08:15 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:20:13 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:06:18 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:23:57 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:00:03 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:07:49 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:32:40 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:19:58 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:28:00 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:04:30 - Database: acaweb_fx - User: postgres ]

Rank	Size	Query
1	161.16 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:12:11 - Database: acaweb_fx - User: postgres ]
2	155.38 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:16:28 - Database: acaweb_fx - User: postgres ]
3	155.36 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:04:14 - Database: acaweb_fx - User: postgres ]
4	142.69 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:08:09 - Database: acaweb_fx - User: postgres ]
5	134.51 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:20:19 - Database: acaweb_fx - User: postgres ]
6	120.38 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:24:15 - Database: acaweb_fx - User: postgres ]
7	118.95 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:28:21 - Database: acaweb_fx - User: postgres ]
8	108.29 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:02:25 - Database: acaweb_fx - User: postgres ]
9	106.80 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:28:39 - Database: acaweb_fx - User: postgres ]
10	104.48 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:24:19 - Database: acaweb_fx - User: postgres ]
11	89.09 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:08:15 - Database: acaweb_fx - User: postgres ]
12	61.40 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:20:13 - Database: acaweb_fx - User: postgres ]
13	59.84 MiB	select fixcandlegaps ('ATFX', false); [ Date: 2022-04-01 06:06:18 - Database: acaweb_fx - User: postgres ]
14	57.92 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:23:57 - Database: acaweb_fx - User: postgres ]
15	40.23 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:00:03 - Database: acaweb_fx - User: postgres ]
16	33.32 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:07:49 - Database: acaweb_fx - User: postgres ]
17	31.59 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:32:40 - Database: acaweb_fx - User: postgres ]
18	28.96 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:19:58 - Database: acaweb_fx - User: postgres ]
19	28.96 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:28:00 - Database: acaweb_fx - User: postgres ]
20	24.91 MiB	)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-04-01 06:04:30 - 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 01	06	0	0

↑ Back to the top of the Autovacuum Activity table

Locks by types

Key values

AccessShareLock Main Lock Type
37 locks Total

Chart
Table

Type	Object	Count	Total Duration	Average Duration (s)
AccessExclusiveLock		3	35m55s	11m58s
	relation	3	35m55s	11m58s
AccessShareLock		34	3h43m21s	6m34s
	relation	34	3h43m21s	6m34s
	Total	37	4h19m17s	7m

Most frequent waiting queries (N)


Date: 2022-04-01 06:24:51
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:24:51
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:24:43
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:24:43
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:24:51
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:24:43
Database: acaweb_fx
User: postgres
Date: 2022-04-01 06:24:43
Database: acaweb_fx
User: postgres

Rank	Count	Total time	Min time	Max time	Avg duration	Query
1	17	1h56m23s	6m50s	6m50s	6m50s	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 'VALBURYCAPITAL') AS subquery WHERE datafeeds_latestrun.feedname ilike 'VALBURYCAPITAL'; Date: 2022-04-01 06:24:51 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 'DXFEED_FX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'DXFEED_FX'; Date: 2022-04-01 06:24:51 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 'ICMARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ICMARKETS'; Date: 2022-04-01 06:24:51 Database: acaweb_fx User: postgres
2	13	1h29m	6m50s	6m50s	6m50s	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 = 'EVERESTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'EVERESTMT5'; Date: 2022-04-01 06:24:51 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 = 'RAKUTENSECURITIES') AS subquery WHERE datafeeds_latestrun.feedname = 'RAKUTENSECURITIES'; Date: 2022-04-01 06:24:51 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 = 'IFCMARKETSMT4') AS subquery WHERE datafeeds_latestrun.feedname = 'IFCMARKETSMT4'; Date: 2022-04-01 06:24:51 Database: acaweb_fx User: postgres
3	1	19m31s	19m31s	19m31s	19m31s	truncate table solr_relevance_old; TRUNCATE TABLE solr_relevance_old; Date: 2022-04-01 06:24:43 Database: acaweb_fx User: postgres TRUNCATE TABLE solr_relevance_old; Date: 2022-04-01 06:24:43 Database: acaweb_fx User: postgres
4	2	9m34s	1m58s	7m35s	4m47s	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: 2022-04-01 06:24:43 Database: acaweb_fx User: postgres
5	1	8m41s	8m41s	8m41s	8m41s	refresh materialized view latest_t15_candle_view; refresh materialized view latest_t15_candle_view; Date: 2022-04-01 06:24:51 Database: acaweb_fx User: postgres refresh materialized view latest_t15_candle_view; Date: 2022-04-01 06:46:09 Database: acaweb_fx User: postgres refresh materialized view latest_t15_candle_view; Date: 2022-04-01 06:31:09 Database: acaweb_fx User: postgres
6	2	8m24s	56s718ms	7m27s	4m12s	select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?; SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IQFEED_FX - 1'; Date: 2022-04-01 06:24:43 Database: acaweb_fx User: postgres SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AKFX - 1'; Date: 2022-04-01 06:24:43 Database: acaweb_fx User: postgres SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AKFX - 1'; Date: 2022-04-01 06:24:43 Database: acaweb_fx User: postgres
7	1	7m41s	7m41s	7m41s	7m41s	refresh materialized view latest_candle_datetime_per_receng; refresh materialized view latest_candle_datetime_per_receng; Date: 2022-04-01 06:24:43 Database: acaweb_fx User: postgres refresh materialized view latest_candle_datetime_per_receng; Date: 2022-04-01 06:32:02 Database: acaweb_fx User: postgres refresh materialized view latest_candle_datetime_per_receng; Date: 2022-04-01 06:02:01 Database: acaweb_fx User: postgres

Queries that waited the most


[ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]

Rank	Wait time	Query
1	19m31s	TRUNCATE TABLE solr_relevance_old; [ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
2	8m41s	refresh materialized view latest_t15_candle_view; [ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
3	7m41s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
4	7m35s	select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng; [ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
5	7m27s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IQFEED_FX - 1'; [ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
6	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'VALBURYCAPITAL') AS subquery WHERE datafeeds_latestrun.feedname ilike 'VALBURYCAPITAL'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
7	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'DXFEED_FX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'DXFEED_FX'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
8	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ICMARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ICMARKETS'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
9	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'EVERESTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'EVERESTMT5'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
10	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'GO_MARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'GO_MARKETS'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
11	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'RAKUTENSECURITIES') AS subquery WHERE datafeeds_latestrun.feedname = 'RAKUTENSECURITIES'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
12	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'GIVCAPITAL') AS subquery WHERE datafeeds_latestrun.feedname = 'GIVCAPITAL'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
13	6m50s	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: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
14	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'IFCMARKETSMT4') AS subquery WHERE datafeeds_latestrun.feedname = 'IFCMARKETSMT4'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
15	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'AKFX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'AKFX'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
16	6m50s	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: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
17	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'axiory') AS subquery WHERE datafeeds_latestrun.feedname ilike 'axiory'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
18	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'GLOBALGTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'GLOBALGTMT5'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
19	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'HOTFOREX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'HOTFOREX'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
20	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'XM') AS subquery WHERE datafeeds_latestrun.feedname = 'XM'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]

Queries by type

Key values

3,265 Total read queries
1,166 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	3,265	73.57%
INSERT	8	0.18%
UPDATE	43	0.97%
DELETE	0	0.00%
COPY FROM	50	1.13%
COPY TO	132	2.97%
CTE	932	21.00%
DDL	1	0.02%
TCL	0	0.00%
CURSOR	0	0.00%
OTHERS	7	0.16%

Queries by database

Key values

acaweb_fx Main database
4,376 Requests
5h22m37s (acaweb_fx)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	4,376	5h22m37s
	copy from	50	6s365ms
	copy to	71	19m30s
	cte	932	42m9s
	ddl	1	19m32s
	insert	8	1s546ms
	others	7	16m51s
	select	3,264	19m
	update	43	3h25m25s
acaweb_fx_integer	Total	62	18m39s
	copy to	61	18m38s
	select	1	128ms

Queries by user

Key values

postgres Main user
4,438 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	4,438	5h41m16s
	copy from	50	6s365ms
	copy to	132	38m9s
	cte	932	42m9s
	ddl	1	19m32s
	insert	8	1s546ms
	others	7	16m51s
	select	3,265	19m1s
	update	43	3h25m25s

Duration by user

Key values

5h41m16s (postgres) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	4,438	5h41m16s
	copy from	50	6s365ms
	copy to	132	38m9s
	cte	932	42m9s
	ddl	1	19m32s
	insert	8	1s546ms
	others	7	16m51s
	select	3,265	19m1s
	update	43	3h25m25s

Queries by host

Key values

unknown Main host
4,438 Requests
5h41m16s (unknown)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
unknown	Total	4,438	5h41m16s
	copy from	50	6s365ms
	copy to	132	38m9s
	cte	932	42m9s
	ddl	1	19m32s
	insert	8	1s546ms
	others	7	16m51s
	select	3,265	19m1s
	update	43	3h25m25s

Queries by application

Key values

unknown Main application
4,438 Requests
5h41m16s (unknown)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
unknown	Total	4,438	5h41m16s
	copy from	50	6s365ms
	copy to	132	38m9s
	cte	932	42m9s
	ddl	1	19m32s
	insert	8	1s546ms
	others	7	16m51s
	select	3,265	19m1s
	update	43	3h25m25s

Number of cancelled queries

Key values

1 per second Cancelled query Peak
2022-04-01 06:22:08 Date

Number of cancelled queries (5 minutes period)

Histogram of query times

Key values

1,995 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	1,995	44.95%
100-500ms	1,662	37.45%
500-1000ms	233	5.25%
1000-10000ms	387	8.72%
> 10000ms	161	3.63%

Slowest individual queries


[ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]

Rank	Duration	Query
1	19m32s	TRUNCATE TABLE solr_relevance_old; [ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
2	8m50s	refresh materialized view latest_t15_candle_view; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
3	7m41s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
4	7m27s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IQFEED_FX - 1'; [ Date: 2022-04-01 06:24:43 - Database: acaweb_fx - User: postgres ]
5	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'VALBURYCAPITAL') AS subquery WHERE datafeeds_latestrun.feedname ilike 'VALBURYCAPITAL'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
6	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'DXFEED_FX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'DXFEED_FX'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
7	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ICMARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ICMARKETS'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
8	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'EVERESTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'EVERESTMT5'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
9	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'GO_MARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'GO_MARKETS'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
10	6m50s	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: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
11	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'RAKUTENSECURITIES') AS subquery WHERE datafeeds_latestrun.feedname = 'RAKUTENSECURITIES'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
12	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'IFCMARKETSMT4') AS subquery WHERE datafeeds_latestrun.feedname = 'IFCMARKETSMT4'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
13	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'AKFX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'AKFX'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
14	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'axiory') AS subquery WHERE datafeeds_latestrun.feedname ilike 'axiory'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
15	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'GLOBALGTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'GLOBALGTMT5'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
16	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'GIVCAPITAL') AS subquery WHERE datafeeds_latestrun.feedname = 'GIVCAPITAL'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
17	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ADSSECURITIES') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ADSSECURITIES'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
18	6m50s	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: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
19	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'Alpari') AS subquery WHERE datafeeds_latestrun.feedname ilike 'Alpari'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]
20	6m50s	UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'DKFX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'DKFX'; [ Date: 2022-04-01 06:24:51 - Database: acaweb_fx - User: postgres ]

Time consuming queries


[ User: postgres - Total duration: 1h56m23s - Times executed: 17 ]
[ User: postgres - Total duration: 1h29m - Times executed: 13 ]
[ User: postgres - Total duration: 19m32s - Times executed: 1 ]
[ User: postgres - Total duration: 13m32s - Times executed: 126 ]
[ User: postgres - Total duration: 10m19s - Times executed: 169 ]
[ User: postgres - Total duration: 9m9s - Times executed: 4 ]
[ User: postgres - Total duration: 8m24s - Times executed: 2 ]
[ User: postgres - Total duration: 7m42s - Times executed: 3 ]
[ User: postgres - Total duration: 7m36s - Times executed: 78 ]
[ User: postgres - Total duration: 5m23s - Times executed: 2 ]
[ User: postgres - Total duration: 4m51s - Times executed: 1547 ]
[ User: postgres - Total duration: 4m21s - Times executed: 2 ]
[ User: postgres - Total duration: 3m51s - Times executed: 2 ]
[ User: postgres - Total duration: 3m23s - Times executed: 2 ]
[ User: postgres - Total duration: 2m49s - Times executed: 12 ]
[ User: postgres - Total duration: 2m30s - Times executed: 35 ]
[ User: postgres - Total duration: 2m23s - Times executed: 2 ]
[ User: postgres - Total duration: 2m20s - Times executed: 2 ]
[ User: postgres - Total duration: 2m15s - Times executed: 2 ]
[ User: postgres - Total duration: 2m - Times executed: 2 ]

Most frequent queries (N)


[ User: postgres - Total duration: 4m51s - Times executed: 1547 ]
[ User: postgres - Total duration: 15s128ms - Times executed: 206 ]
[ User: postgres - Total duration: 17s636ms - Times executed: 186 ]
[ User: postgres - Total duration: 23s623ms - Times executed: 174 ]
[ User: postgres - Total duration: 10m19s - Times executed: 169 ]
[ User: postgres - Total duration: 10s485ms - Times executed: 128 ]
[ User: postgres - Total duration: 13m32s - Times executed: 126 ]
[ User: postgres - Total duration: 35s430ms - Times executed: 121 ]
[ User: postgres - Total duration: 22s370ms - Times executed: 114 ]
[ User: postgres - Total duration: 23s887ms - Times executed: 97 ]
[ User: postgres - Total duration: 15s36ms - Times executed: 97 ]
[ User: postgres - Total duration: 7m36s - Times executed: 78 ]
[ User: postgres - Total duration: 21s598ms - Times executed: 78 ]
[ User: postgres - Total duration: 6s925ms - Times executed: 77 ]
[ User: postgres - Total duration: 14s970ms - Times executed: 71 ]
[ User: postgres - Total duration: 18s932ms - Times executed: 67 ]
[ User: postgres - Total duration: 6s268ms - Times executed: 61 ]
[ User: postgres - Total duration: 8s835ms - Times executed: 56 ]
[ User: postgres - Total duration: 12s808ms - Times executed: 47 ]
[ User: postgres - Total duration: 5s390ms - Times executed: 38 ]

Normalized slowest queries (N)


[ User: postgres - Total duration: 19m32s - Times executed: 1 ]
[ User: postgres - Total duration: 1h56m23s - Times executed: 17 ]
[ User: postgres - Total duration: 1h29m - Times executed: 13 ]
[ User: postgres - Total duration: 8m24s - Times executed: 2 ]
[ User: postgres - Total duration: 5m23s - Times executed: 2 ]
[ User: postgres - Total duration: 7m42s - Times executed: 3 ]
[ User: postgres - Total duration: 9m9s - Times executed: 4 ]
[ User: postgres - Total duration: 4m21s - Times executed: 2 ]
[ User: postgres - Total duration: 3m51s - Times executed: 2 ]
[ User: postgres - Total duration: 3m23s - Times executed: 2 ]
[ User: postgres - Total duration: 2m23s - Times executed: 2 ]
[ User: postgres - Total duration: 2m20s - Times executed: 2 ]
[ User: postgres - Total duration: 2m15s - Times executed: 2 ]
[ User: postgres - Total duration: 2m - Times executed: 2 ]
[ User: postgres - Total duration: 2m49s - Times executed: 12 ]
[ User: postgres - Total duration: 13m32s - Times executed: 126 ]
[ User: postgres - Total duration: 7m36s - Times executed: 78 ]
[ User: postgres - Total duration: 2m30s - Times executed: 35 ]
[ User: postgres - Total duration: 10m19s - Times executed: 169 ]
[ User: postgres - Total duration: 35s430ms - Times executed: 121 ]

Time consuming prepare

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

Time consuming bind


[ User: postgres - Total duration: 10s424ms - Times executed: 13 ]
[ User: postgres - Total duration: 157ms - Times executed: 2 ]
[ User: postgres - Total duration: 202ms - Times executed: 2 ]
[ User: postgres - Total duration: 114ms - Times executed: 2 ]
[ User: postgres - Total duration: 171ms - Times executed: 1 ]
[ User: postgres - Total duration: 114ms - Times executed: 1 ]
[ User: postgres - Total duration: 74ms - Times executed: 1 ]
[ User: postgres - Total duration: 109ms - Times executed: 1 ]
[ User: postgres - Total duration: 92ms - Times executed: 1 ]
[ User: postgres - Total duration: 1s467ms - Times executed: 1 ]
[ User: postgres - Total duration: 97ms - Times executed: 1 ]
[ User: postgres - Total duration: 50ms - Times executed: 1 ]
[ User: postgres - Total duration: 71ms - Times executed: 1 ]
[ User: postgres - Total duration: 59ms - Times executed: 1 ]
[ User: postgres - Total duration: 69ms - Times executed: 1 ]
[ User: postgres - Total duration: 202ms - Times executed: 1 ]
[ User: postgres - Total duration: 315ms - Times executed: 1 ]
[ User: postgres - Total duration: 162ms - Times executed: 1 ]
[ User: postgres - Total duration: 96ms - Times executed: 1 ]
[ User: postgres - Total duration: 57ms - Times executed: 1 ]

Log levels

Key values

10,177 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	74	0.73%
DETAIL	3,908	38.40%
ERROR	439	4.31%
LOG	5,194	51.04%
STATEMENT	562	5.52%

Events distribution

Key values

0 PANIC entries
0 FATAL entries
445 ERROR entries
0 WARNING entries

Most Frequent Errors/Events

Key values

335 Max number of times the same event was reported
445 Total events found


Date: 2022-04-01 06:01:56
Database: acaweb_fx
Application: 
User: postgres
Remote: 
Date: 2022-04-01 06:17:09
Database: acaweb_fx
Application: 
User: postgres
Remote: 
Date: 2022-04-01 06:21:24
Database: acaweb_fx
Application: 
User: postgres
Remote: 
Date: 2022-04-01 06:05:12
Database: acaweb_fx
Application: 
User: postgres
Remote: 
Date: 2022-04-01 06:21:38
Database: acaweb_fx
Application: 
User: postgres
Remote: 

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

Key values

Connections per host

Sessions

Simultaneous sessions

Key values

Histogram of session times

Key values

Sessions per database

Key values

Sessions per database

Sessions per user

Key values

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