pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Sun Mar 30 04:59:41 2025
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2025-03-30_060000.log
Parsed 874,780 log entries in 40s
Log start from 2025-03-30 06:00:00 to 2025-03-30 06:59:34

Global Stats

3,475 Number of unique normalized queries
65,498 Number of queries
3h21m8s Total query duration
2025-03-30 06:00:00 First query
2025-03-30 06:59:34 Last query
3,239 queries/s at 2025-03-30 06:05:01 Query peak

3h21m8s Total query duration
2s986ms Prepare/parse total duration
31s29ms Bind total duration
3h20m34s Execute total duration

19 Number of events
2 Number of unique normalized events
15 Max number of times the same event was reported
0 Number of cancellation

25 Total number of automatic vacuums
37 Total number of automatic analyzes

365 Number temporary file
57.51 MiB Max size of temporary file
4.55 MiB Average size of temporary file

2,171 Total number of sessions
13 sessions at 2025-03-30 06:56:13 Session peak
1d8h7m20s Total duration of sessions
53s265ms Average duration of sessions
30 Average queries per session
5s559ms Average queries duration per session
47s706ms Average idle time per session

2,171 Total number of connections
27 connections/s at 2025-03-30 06:58:48 Connection peak
5 Total number of databases

SQL Traffic

Key values

3,239 queries/s Query Peak
2025-03-30 06:05:01 Date

SELECT Traffic

Key values

2,948 queries/s Query Peak
2025-03-30 06:05:01 Date

INSERT/UPDATE/DELETE Traffic

Key values

265 queries/s Query Peak
2025-03-30 06:57:08 Date

Queries duration

Key values

3h21m8s 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)
Mar 30	06	65,498	0ms	13m38s	183ms	5m41s	6m19s	33m52s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Mar 30	06	44,856	600	69ms	1m11s	1m58s	3m54s

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Mar 30	06	14,678	801	13	78	4ms	453ms	1s73ms	6s84ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
Mar 30	06	8,029	43,199	5.38	12.54%

Day	Hour	Count	Average / Second
Mar 30	06	2,171	0.60/s

Day	Hour	Count	Average Duration	Average idle time
Mar 30	06	2,171	53s265ms	47s722ms

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Established Connections

Key values

27 connections Connection Peak
2025-03-30 06:58:48 Date

Connections per database

Key values

acaweb_fx Main Database
2,171 connections Total

Chart
Table

Database	User	Count
acaweb_fx		2,074
	pg_dump	1
	postgres	1,739
	psql	334
acaweb_fx_integer		1
	pg_dump	1
postgres		3
	pg_dump	1
	psql	2
socialmedia		92
	pg_dump	1
	postgres	91
translations		1
	pg_dump	1

Connections per user

Key values

postgres Main User
2,171 connections Total

Chart
Table

User	Count
pg_dump	5
postgres	1,830
psql	336

Connections per host

Key values

192.168.4.142 Main host with 966 connections
2,171 Total connections

Chart
Table

Host	Count
127.0.0.1	117
192.168.1.145	78
192.168.1.20	95
192.168.1.239	76
192.168.1.250	54
192.168.1.90	6
192.168.2.126	18
192.168.2.82	44
192.168.3.199	66
192.168.4.142	966
192.168.4.33	91
192.168.4.98	330
[local]	230

Simultaneous sessions

Key values

13 sessions Session Peak
2025-03-30 06:56:13 Date

Histogram of session times

Key values

1,816 0-500ms duration

Chart
Table

Range	Count	Percentage
0ms-500ms	1,816	83.65%
500ms-1s	99	4.56%
1s-30s	137	6.31%
30s-1m	20	0.92%
1m-10m	42	1.93%
10m-30m	50	2.30%
30m-1h	6	0.28%
1h-8h	1	0.05%
> 8h	0	0.00%

Sessions per database

Key values

acaweb_fx Main Database
2,171 sessions Total

Chart
Table

Database	User	Count	Total Duration
acaweb_fx	2,074	1d7h47m6s	55s171ms
acaweb_fx_integer	1	19m52s	19m52s
postgres	3	239ms	79ms
socialmedia	92	21s429ms	232ms
translations	1	198ms	198ms

Sessions per user

Key values

postgres Main User
2,171 sessions Total

Chart
Table

User	Count	Total Duration	Average Duration
postgres	1	0ms	0ms

Sessions per host

Key values

192.168.4.142 Main Host
2,171 sessions Total

Chart
Table

Host	Count	Total Duration	Average Duration
127.0.0.1	117	1h3m51s	32s750ms
192.168.1.145	78	1h32m55s	1m11s
192.168.1.20	95	13h23m7s	8m27s
192.168.1.239	76	853ms	11ms
192.168.1.250	54	11h20m37s	12m36s
192.168.1.90	6	55ms	9ms
192.168.2.126	18	5s660ms	314ms
192.168.2.82	44	4h12m42s	5m44s
192.168.3.199	66	2m32s	2s317ms
192.168.4.142	966	11m54s	740ms
192.168.4.33	91	16s77ms	176ms
192.168.4.98	330	18s904ms	57ms
[local]	230	18m56s	4s940ms

Sessions per application

Key values

[unknown] Main Host
2,171 sessions Total

Chart
Table

Application	Count	Total Duration	Average Duration
PostgreSQL JDBC Driver	227	1d2h16m40s	6m56s
[unknown]	1,603	4h57m52s	11s149ms
pg_dump	5	33m46s	6m45s
psql	336	19m1s	3s397ms

Checkpoints Buffers

Key values

3,932 buffers Checkpoint Peak
2025-03-30 06:07:50 Date
209.513 seconds Highest write time
0.009 seconds Sync time

Checkpoints Wal files

Key values

2 files Wal files usage Peak
2025-03-30 06:07:50 Date

Checkpoints distance

Key values

59.50 Mo Distance Peak
2025-03-30 06:07:50 Date

Checkpoints Activity

Day	Hour	Written buffers	Write time	Sync time	Total time
Mar 30	06	12,116	1,161.525s	0.037s	1,161.788s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
Mar 30	06	0	0	8	1,211	0.008s	0s

Day	Hour	Count	Avg time (sec)
Mar 30	06	0	0s

Day	Hour	Mean distance	Mean estimate
Mar 30	06	12,072.00 kB	23,642.36 kB

↑ Back to the top of the Checkpoint Activity table

Checkpoint causes

Key values

time (12) Main checkpoint cause
12 checkpoints Total

Chart
Table

Cause	Number of checkpoints
time	12
Total	12

Size of temporary files

Key values

39.00 MiB Temp Files size Peak
2025-03-30 06:18:53 Date

Number of temporary files

Key values

30 per second Temp Files Peak
2025-03-30 06:17:26 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
Mar 30	06	365	1.62 GiB	4.55 MiB

↑ Back to the top of the Temporary Files Activity table

Queries generating the most temporary files (N)


Date: 2025-03-30 06:00:47
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 182.165.1.42
Application: [unknown]
Date: 2025-03-30 06:31:17
Duration: 5s993ms
Database: acaweb_fx
User: postgres
Remote: [local]
Application: psql
Date: 2025-03-30 06:26:19
Duration: 5s687ms
Database: acaweb_fx
User: postgres
Remote: [local]
Application: psql
Date: 2025-03-30 06:32:34
Duration: 31s465ms
Database: acaweb_fx
User: postgres
Remote: [local]
Application: psql
Date: 2025-03-30 06:47:33
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.250
Application: PostgreSQL JDBC Driver
Date: 2025-03-30 06:52:13
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.20
Application: PostgreSQL JDBC Driver

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	154	621.81 MiB	3.29 MiB	4.67 MiB	4.04 MiB	with rar_max as ( ; WITH rar_max as ( ; Date: 2025-03-30 06:00:47 Duration: 0ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown]
2	13	294.12 MiB	22.62 MiB	22.62 MiB	22.62 MiB	update solr_relevance_old set new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total from ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total from whatshot_probability where type = ?) sub where result_uid = sub.resultuid; UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type = 'cp') sub WHERE result_uid = sub.resultuid; Date: 2025-03-30 06:31:17 Duration: 5s993ms Database: acaweb_fx User: postgres Remote: [local] Application: psql UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type = 'cp') sub WHERE result_uid = sub.resultuid; Date: 2025-03-30 06:41:14 Duration: 3s191ms Database: acaweb_fx User: postgres Remote: [local] Application: psql UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type = 'cp') sub WHERE result_uid = sub.resultuid; Date: 2025-03-30 06:33:15 Duration: 2s640ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
3	13	507.00 MiB	39.00 MiB	39.00 MiB	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then ? else ? end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then ? else ? end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike ? inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike ?) sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike ?; update solr_relevance_old set newrelevant = ? where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike ? and a.resultuid is null); update solr_relevance_old set new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total from ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total from whatshot_probability where type in (...)) sub where result_uid = sub.resultuid; with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; Date: 2025-03-30 06:26:19 Duration: 5s687ms Database: acaweb_fx User: postgres Remote: [local] Application: psql with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; Date: 2025-03-30 06:31:21 Duration: 3s543ms Database: acaweb_fx User: postgres Remote: [local] Application: psql with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; Date: 2025-03-30 06:33:18 Duration: 2s727ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
4	4	230.03 MiB	57.50 MiB	57.51 MiB	57.51 MiB	select updateageforrelevantresults (); select updateageforrelevantresults (); Date: 2025-03-30 06:32:34 Duration: 31s465ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2025-03-30 06:47:30 Duration: 27s907ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2025-03-30 06:17:30 Duration: 27s454ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
5	1	4.54 MiB	4.54 MiB	4.54 MiB	4.54 MiB	select resultuid from relevance_fibonacci_results order by resultuid desc limit ?), fr as ( select a., rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end), all_results as ( select fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join lateral calc_fib_signal_filter (fr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp)))), results as ( select distinct on (symbolid) from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc; SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a., rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $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)) AND ($324 = 0 OR fr.pattern in ($325)) AND ($326 = 0 OR fr.patternlengthbars <= $327) AND ($328 = 0 OR ($329 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($330 = 2 AND fr.timed < cast('1970-01-01' as timestamp)))), results AS ( SELECT DISTINCT ON (symbolid) FROM all_results WHERE (FALSE = $331 OR relevant = 1) AND ($332 = 0 OR age <= $333) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC; Date: 2025-03-30 06:47:33 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver
6	1	3.39 MiB	3.39 MiB	3.39 MiB	3.39 MiB	select resultuid from relevance_consecutivecandles_results order by resultuid desc limit ?), all_results as ( select ccr.resultuid as resultuid, ccr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ccr.patternendtime as identified, dtt.timezone as timezone, ccr.qtyconsecutivecandles as length, g.basegroupname, case when rcr.age is not null then rcr.age when ccr.resultuid <= rm.resultuid then ? else ? end as age, case when rcr.relevant is not null then rcr.relevant when ccr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip, newlevels.filtered from consecutivecandles_results ccr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = ccr.symbolid inner join symbols s on ccr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on ccr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on ccr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join rar_max rm on ? = ? left outer join relevance_consecutivecandles_results rcr on rcr.resultuid = ccr.resultuid left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? left join lateral calc_cc_signal_filter (ccr.resultuid) newlevels on true where ccr.gmttimefound > now() - interval ? and s.deleted = ? and (ccr.simulation = ? or ccr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ccr.patternlengthbars <= ?)), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc; SELECT resultuid FROM relevance_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $1 AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ($2 = 0 OR s.timegranularity in ($3, $4, $5, $6, $7, $8, $9)) AND ($10 = 0 OR s.exchange in ($11)) AND ($12 = 0 OR coalesce(bim.code, s.symbol) in ($13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225)) AND ($226 = 0 OR ccr.patternlengthbars <= $227)), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $228 OR relevant = 1) AND ($229 = 0 OR age <= $230) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC; Date: 2025-03-30 06:52:13 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.20 Application: PostgreSQL JDBC Driver

Queries generating the largest temporary files


[ Date: 2025-03-30 06:02:04 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:32:22 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:17:20 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:47:20 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:01:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:03:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:18:53 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:20:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:26:19 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:31:21 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:33:18 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:35:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:41:17 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:46:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:48:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:50:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:56:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:01:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:03:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:18:51 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]

Rank	Size	Query
1	57.51 MiB	select updateageforrelevantresults (); [ Date: 2025-03-30 06:02:04 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	57.51 MiB	select updateageforrelevantresults (); [ Date: 2025-03-30 06:32:22 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	57.51 MiB	select updateageforrelevantresults (); [ Date: 2025-03-30 06:17:20 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
4	57.50 MiB	select updateageforrelevantresults (); [ Date: 2025-03-30 06:47:20 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
5	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:01:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
6	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:03:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
7	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:18:53 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
8	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:20:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
9	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:26:19 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
10	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:31:21 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
11	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:33:18 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
12	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:35:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
13	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:41:17 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
14	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:46:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
15	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:48:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
16	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:50:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
17	39.00 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:56:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
18	22.62 MiB	UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type = 'cp') sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:01:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
19	22.62 MiB	UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type = 'cp') sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:03:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
20	22.62 MiB	UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type = 'cp') sub WHERE result_uid = sub.resultuid; [ Date: 2025-03-30 06:18:51 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]

Vacuums / Analyzes Distribution

Key values

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

Analyzes per table

Key values

public.solr_relevance_old (13) Main table analyzed (database acaweb_fx)
37 analyzes Total

Chart
Table

Table	Number of analyzes
acaweb_fx.public.solr_relevance_old	13
acaweb_fx.public.datafeeds_latestrun	6
acaweb_fx.pg_catalog.pg_attribute	4
acaweb_fx.pg_catalog.pg_type	2
acaweb_fx.public.latest_t15_candle_view	2
acaweb_fx.pg_catalog.pg_class	2
acaweb_fx.pg_catalog.pg_index	1
acaweb_fx.public.solr_imports	1
acaweb_fx.public.t30	1
socialmedia.public.processes	1
acaweb_fx.public.relevance_bigmovement_results	1
acaweb_fx.pg_catalog.pg_depend	1
acaweb_fx.public.relevance_autochartist_results	1
acaweb_fx.public.latest_candle_datetime_per_receng	1
Total	37

Vacuums per table

Key values

public.solr_relevance_old (13) Main table vacuumed on database acaweb_fx
25 vacuums Total

Chart
Table

		Index	Buffer usage			Skipped		WAL usage
Table	Vacuums	scans	hits	misses	dirtied	pins	frozen	records	full page	bytes
acaweb_fx.public.solr_relevance_old	13	13	9,885	0	39	0	0	7,350	13	1,352,170
acaweb_fx.public.datafeeds_latestrun	6	1	652	0	38	0	0	96	34	101,494
acaweb_fx.pg_toast.pg_toast_2619	1	1	137	0	31	0	0	113	31	140,795
acaweb_fx.pg_catalog.pg_type	1	1	139	0	17	0	0	43	14	89,819
acaweb_fx.pg_catalog.pg_attribute	1	1	759	0	157	0	64	383	132	803,263
acaweb_fx.pg_catalog.pg_depend	1	1	334	0	84	0	58	171	76	435,622
acaweb_fx.public.latest_t15_candle_view	1	1	92	0	4	0	0	6	1	8,630
acaweb_fx.pg_catalog.pg_class	1	1	385	0	31	0	41	143	32	187,780
Total	25	20	12,383	1,122	401	0	163	8,305	333	3,119,573

Tuples removed per table

Key values

public.solr_relevance_old (65350) Main table with removed tuples on database acaweb_fx
68250 tuples Total removed

Chart
Table

		Index	Tuples			Pages
Table	Vacuums	scans	removed	remain	not yet removable	removed	remain
acaweb_fx.public.solr_relevance_old	13	13	65,350	78,239	1,120	0	2,352
acaweb_fx.pg_catalog.pg_attribute	1	1	1,592	9,463	0	0	242
acaweb_fx.pg_catalog.pg_depend	1	1	617	12,037	8	0	114
acaweb_fx.public.datafeeds_latestrun	6	1	371	95	5	0	96
acaweb_fx.pg_catalog.pg_class	1	1	163	1,952	5	0	150
acaweb_fx.pg_toast.pg_toast_2619	1	1	81	175	5	0	51
acaweb_fx.public.latest_t15_candle_view	1	1	40	29	15	0	1
acaweb_fx.pg_catalog.pg_type	1	1	36	1,396	58	0	38
Total	25	20	68,250	103,386	1,216	0	3,044

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

NO DATASET

Table	Number of vacuums	Index scans	Tuples removed
acaweb_fx.pg_toast.pg_toast_2619	1	1	81
acaweb_fx.pg_catalog.pg_type	1	1	36
acaweb_fx.public.datafeeds_latestrun	6	1	371
acaweb_fx.pg_catalog.pg_attribute	1	1	1592
acaweb_fx.pg_catalog.pg_depend	1	1	617
acaweb_fx.public.latest_t15_candle_view	1	1	40
acaweb_fx.pg_catalog.pg_class	1	1	163
acaweb_fx.public.solr_relevance_old	13	13	65350
Total	25	20	68,250

Autovacuum Activity

Vacuums / Analyzes

Day	Hour	VACUUMs	ANALYZEs
Mar 30	06	25	37

↑ Back to the top of the Autovacuum Activity table

Locks by types

Key values

AccessShareLock Main Lock Type
12 locks Total

Chart
Table

Type	Object	Count	Total Duration	Average Duration (s)
AccessExclusiveLock		2	15m25s	7m42s
	relation	2	15m25s	7m42s
AccessShareLock		10	15m55s	1m35s
	relation	10	15m55s	1m35s
	Total	12	31m20s	2m36s

Most frequent waiting queries (N)

Rank	Count	Total time	Min time	Max time	Avg duration	Query
1	10	15m55s	1m27s	1m46s	1m35s	select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?; SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1'; Date: 2025-03-30 06:18:50 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; Date: 2025-03-30 06:18:50 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 2'; Date: 2025-03-30 06:18:50 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
2	1	13m38s	13m38s	13m38s	13m38s	truncate table solr_relevance_old; TRUNCATE TABLE solr_relevance_old; Date: 2025-03-30 06:18:49 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2025-03-30 06:31:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2025-03-30 06:56:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
3	1	1m47s	1m47s	1m47s	1m47s	refresh materialized view latest_candle_datetime_per_receng; refresh materialized view latest_candle_datetime_per_receng; Date: 2025-03-30 06:18:50 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2025-03-30 06:47:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2025-03-30 06:32:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql

Rank

Count

Total time

Min time

Max time

Avg duration

Query

1

10

15m55s

1m27s

1m46s

1m35s

select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?;

SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1';

Date: 2025-03-30 06:18:50 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1';

Date: 2025-03-30 06:18:50 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 2';

Date: 2025-03-30 06:18:50 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]

2

1

13m38s

truncate table solr_relevance_old;

TRUNCATE TABLE solr_relevance_old;

Date: 2025-03-30 06:18:49 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2025-03-30 06:31:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2025-03-30 06:56:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql

3

1

1m47s

refresh materialized view latest_candle_datetime_per_receng;

refresh materialized view latest_candle_datetime_per_receng;

Date: 2025-03-30 06:18:50 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2025-03-30 06:47:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2025-03-30 06:32:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql

Queries that waited the most


[ Date: 2025-03-30 06:18:49 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:18:49 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Rank	Wait time	Query
1	13m38s	TRUNCATE TABLE solr_relevance_old; [ Date: 2025-03-30 06:18:49 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	1m47s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2025-03-30 06:18:49 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	1m46s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
4	1m44s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
5	1m39s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 2'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
6	1m39s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
7	1m36s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'FPMARKETS - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
8	1m34s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 3'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
9	1m31s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 4'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
10	1m29s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
11	1m27s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
12	1m27s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Queries by type

Key values

44,856 Total read queries
19,157 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	44,856	68.48%
INSERT	14,678	22.41%
UPDATE	801	1.22%
DELETE	13	0.02%
COPY FROM	78	0.12%
COPY TO	600	0.92%
CTE	2,309	3.53%
DDL	13	0.02%
TCL	665	1.02%
CURSOR	0	0.00%
OTHERS	1,485	2.27%

Queries by database

Key values

acaweb_fx Main database
60,538 Requests
3h52s (acaweb_fx)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	60,538	3h52s
	copy from	78	5s111ms
	copy to	305	13m40s
	cte	2,305	2h10m58s
	ddl	13	13m38s
	delete	13	21ms
	insert	14,386	37s799ms
	others	1,154	2m4s
	select	40,886	19m24s
	tcl	661	207ms
	update	737	22s625ms
acaweb_fx_integer	Total	3,584	19m36s
	copy to	276	19m35s
	cte	1	4ms
	others	285	16ms
	select	3,021	1s50ms
	tcl	1	0ms
postgres	Total	367	210ms
	cte	1	1ms
	others	9	0ms
	select	356	208ms
	tcl	1	0ms
socialmedia	Total	962	5s709ms
	copy to	19	4s749ms
	cte	1	1ms
	insert	292	394ms
	others	28	0ms
	select	557	458ms
	tcl	1	0ms
	update	64	105ms
translations	Total	47	187ms
	cte	1	2ms
	others	9	0ms
	select	36	185ms
	tcl	1	0ms

Queries by user

Key values

postgres Main user
65,498 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	65,498	3h20m34s
	copy from	78	5s111ms
	copy to	600	33m20s
	cte	2,309	2h10m58s
	ddl	13	13m38s
	delete	13	21ms
	insert	14,678	38s193ms
	others	1,485	2m4s
	select	44,856	19m26s
	tcl	665	207ms
	update	801	22s731ms

Duration by user

Key values

3h20m34s (postgres) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	65,498	3h20m34s
	copy from	78	5s111ms
	copy to	600	33m20s
	cte	2,309	2h10m58s
	ddl	13	13m38s
	delete	13	21ms
	insert	14,678	38s193ms
	others	1,485	2m4s
	select	44,856	19m26s
	tcl	665	207ms
	update	801	22s731ms

Queries by host

Key values

192.168.1.145 Main host
16,922 Requests
51m10s (192.168.1.250)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
127.0.0.1	Total	10,458	49m30s
	copy to	600	33m20s
	cte	22	136ms
	insert	561	1s427ms
	others	637	21ms
	select	8,489	16m8s
	tcl	5	0ms
	update	144	246ms
182.165.1.42	Total	120	8m58s
	cte	60	8m58s
	select	60	0ms
192.168.0.239	Total	37	451ms
	select	37	451ms
192.168.0.42	Total	237	1s161ms
	insert	65	7ms
	select	172	1s154ms
192.168.1.135	Total	22	44ms
	cte	2	21ms
	select	20	23ms
192.168.1.145	Total	16,922	35m42s
	cte	586	35m26s
	others	156	1ms
	select	16,180	15s230ms
192.168.1.20	Total	15,419	35m3s
	cte	588	34m50s
	others	190	2ms
	select	14,641	13s75ms
192.168.1.201	Total	318	2s631ms
	select	318	2s631ms
192.168.1.23	Total	618	2s531ms
	select	618	2s531ms
192.168.1.239	Total	304	193ms
	others	152	13ms
	select	152	179ms
192.168.1.250	Total	3,574	51m10s
	cte	973	51m8s
	others	108	1ms
	select	2,493	1s955ms
192.168.1.90	Total	6	10ms
	select	6	10ms
192.168.2.126	Total	30	26ms
	others	12	0ms
	select	18	26ms
192.168.2.205	Total	89	8ms
	insert	89	8ms
192.168.2.82	Total	9,354	43s959ms
	insert	8,394	31s179ms
	others	88	9ms
	select	669	12s148ms
	update	203	621ms
192.168.3.199	Total	264	317ms
	others	132	12ms
	select	120	134ms
	update	12	171ms
192.168.4.142	Total	5,777	5s732ms
	insert	5,277	5s175ms
	select	500	557ms
192.168.4.33	Total	671	739ms
	insert	292	394ms
	select	315	239ms
	update	64	105ms
192.168.4.98	Total	996	14s997ms
	others	6	14s145ms
	select	6	31ms
	tcl	660	207ms
	update	324	614ms
[local]	Total	282	18m55s
	copy from	78	5s111ms
	cte	78	33s494ms
	ddl	13	13m38s
	delete	13	21ms
	others	4	1m50s
	select	42	2m27s
	update	54	20s972ms

Queries by application

Key values

PostgreSQL JDBC Driver Main application
36,944 Requests
2h2m3s (PostgreSQL JDBC Driver)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
PostgreSQL JDBC Driver	Total	36,944	2h2m3s
	cte	2,149	2h1m26s
	insert	65	7ms
	others	233	3ms
	select	34,497	37s84ms
[unknown]	Total	19,994	26m12s
	cte	60	8m58s
	insert	14,613	38s186ms
	others	629	14s183ms
	select	3,294	16m18s
	tcl	660	207ms
	update	738	1s739ms
pg_dump	Total	8,172	33m18s
	copy to	574	33m16s
	cte	5	16ms
	others	619	20ms
	select	6,969	2s516ms
	tcl	5	0ms
psql	Total	388	19m
	copy from	78	5s111ms
	copy to	26	4s538ms
	cte	95	33s615ms
	ddl	13	13m38s
	delete	13	21ms
	others	4	1m50s
	select	96	2m27s
	update	63	20s991ms

Number of cancelled queries

Key values

0 per second Cancelled query Peak
2025-03-30 06:53:24 Date

Number of cancelled queries (5 minutes period)

NO DATASET

Histogram of query times

Key values

38,920 0-1ms duration

Chart
Table

Range	Count	Percentage
0-1ms	38,920	59.42%
1-5ms	22,648	34.58%
5-10ms	886	1.35%
10-25ms	637	0.97%
25-50ms	476	0.73%
50-100ms	279	0.43%
100-500ms	443	0.68%
500-1000ms	136	0.21%
1000-10000ms	740	1.13%
> 10000ms	333	0.51%

Slowest individual queries


[ Date: 2025-03-30 06:18:49 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:08:27 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-30 06:31:36 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-30 06:14:16 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-30 06:21:02 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-30 06:35:56 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:24:16 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:22:38 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-30 06:11:29 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Rank	Duration	Query
1	13m38s	TRUNCATE TABLE solr_relevance_old; [ Date: 2025-03-30 06:18:49 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	3m25s	COPY archive.stats_success (resultuid, atbaridentified, type, minprice, maxprice, correct, symbol, "interval", pattern, direction, hourofday, quality, breakout, clarity, initialtrend, volumeincrease, symmetry, qtytp, trendchange, patternlengthbars, symbolid) TO stdout; [ Date: 2025-03-30 06:08:27 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
3	2m49s	COPY public.researchreports (researchreportid, type, createddatetime, language, filename, xml) TO stdout; [ Date: 2025-03-30 06:31:36 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
4	2m41s	COPY public.researchreports (researchreportid, type, createddatetime, language, filename, xml) TO stdout; [ Date: 2025-03-30 06:14:16 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
5	2m11s	COPY archive.stats_success (resultuid, atbaridentified, type, minprice, maxprice, correct, symbol, "interval", pattern, direction, hourofday, quality, breakout, clarity, initialtrend, volumeincrease, symmetry, qtytp, trendchange, patternlengthbars, symbolid) TO stdout; [ Date: 2025-03-30 06:21:02 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
6	1m50s	COPY public.t15_ps (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten) TO stdout; [ Date: 2025-03-30 06:35:56 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
7	1m48s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
8	1m46s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
9	1m44s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
10	1m39s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 2'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
11	1m39s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
12	1m37s	COPY public.autochartist_results (resultid, bandwidth, pattern, gmttimefound, direction, initialtrend, breakout, volumeincrease, noise, symmetry, patternstarttime, patternendtime, patternstartprice, patternendprice, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, supportgradient, resgradient, riskreward, qtytp, predictionpricefrom, predictionpriceto, predictiontimefrom, predictiontimeto, patternquality, trendchange, maxmovementafterbreakout, latestbaratbreakouttime, latestbaratbreakoutprice, patternlengthbars, temporarypattern, symbolid, resultuid, relevancestartdistance, simulation, writtendatetime, old_resultuid) TO stdout; [ Date: 2025-03-30 06:24:16 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
13	1m36s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'FPMARKETS - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
14	1m34s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 3'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
15	1m31s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 4'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
16	1m29s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
17	1m27s	COPY public.authenticationlog (attemptid, username, password, brokerid, authclass, attemptdatetime, success, fingerprint, accounttype) TO stdout; [ Date: 2025-03-30 06:22:38 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
18	1m27s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
19	1m27s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; [ Date: 2025-03-30 06:18:50 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
20	1m12s	COPY public.powerstats_trumpet_test (symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) TO stdout; [ Date: 2025-03-30 06:11:29 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Time consuming queries


[ User: postgres - Total duration: 57m - Times executed: 348 ]
[ User: postgres - Total duration: 53m19s - Times executed: 348 ]
[ User: postgres - Total duration: 16m41s - Times executed: 312 ]
[ User: postgres - Total duration: 15m55s - Times executed: 1237 ]
[ User: postgres - Total duration: 13m38s - Times executed: 13 ]
[ User: postgres - Total duration: 5m36s - Times executed: 2 ]
[ User: postgres - Total duration: 5m31s - Times executed: 2 ]
[ User: postgres - Total duration: 2m54s - Times executed: 2 ]
[ User: postgres - Total duration: 2m21s - Times executed: 2 ]
[ User: postgres - Total duration: 2m7s - Times executed: 192 ]
[ User: postgres - Total duration: 1m54s - Times executed: 2 ]
[ User: postgres - Total duration: 1m52s - Times executed: 2 ]
[ User: postgres - Total duration: 1m50s - Times executed: 4 ]
[ User: postgres - Total duration: 1m46s - Times executed: 2 ]
[ User: postgres - Total duration: 1m37s - Times executed: 4 ]
[ User: postgres - Total duration: 1m34s - Times executed: 2 ]
[ User: postgres - Total duration: 1m30s - Times executed: 2 ]
[ User: postgres - Total duration: 1m24s - Times executed: 2 ]
[ User: postgres - Total duration: 55s546ms - Times executed: 2 ]
[ User: postgres - Total duration: 52s232ms - Times executed: 120 ]

Most frequent queries (N)


[ User: postgres - Total duration: 52ms - Times executed: 13817 ]
[ User: postgres - Total duration: 11s400ms - Times executed: 10460 ]
[ User: postgres - Total duration: 16s560ms - Times executed: 9224 ]
[ User: postgres - Total duration: 3s325ms - Times executed: 1842 ]
[ User: postgres - Total duration: 25ms - Times executed: 1623 ]
[ User: postgres - Total duration: 662ms - Times executed: 1445 ]
[ User: postgres - Total duration: 415ms - Times executed: 1414 ]
[ User: postgres - Total duration: 6s397ms - Times executed: 1353 ]
[ User: postgres - Total duration: 15m55s - Times executed: 1237 ]
[ User: postgres - Total duration: 121ms - Times executed: 921 ]
[ User: postgres - Total duration: 229ms - Times executed: 730 ]
[ User: postgres - Total duration: 85ms - Times executed: 639 ]
[ User: postgres - Total duration: 3s239ms - Times executed: 619 ]
[ User: postgres - Total duration: 40ms - Times executed: 574 ]
[ User: postgres - Total duration: 259ms - Times executed: 510 ]
[ User: postgres - Total duration: 404ms - Times executed: 494 ]
[ User: postgres - Total duration: 10s784ms - Times executed: 388 ]
[ User: postgres - Total duration: 57m - Times executed: 348 ]
[ User: postgres - Total duration: 53m19s - Times executed: 348 ]
[ User: postgres - Total duration: 698ms - Times executed: 336 ]

Normalized slowest queries (N)


[ User: postgres - Total duration: 5m36s - Times executed: 2 ]
[ User: postgres - Total duration: 5m31s - Times executed: 2 ]
[ User: postgres - Total duration: 2m54s - Times executed: 2 ]
[ User: postgres - Total duration: 2m21s - Times executed: 2 ]
[ User: postgres - Total duration: 13m38s - Times executed: 13 ]
[ User: postgres - Total duration: 1m54s - Times executed: 2 ]
[ User: postgres - Total duration: 1m52s - Times executed: 2 ]
[ User: postgres - Total duration: 1m46s - Times executed: 2 ]
[ User: postgres - Total duration: 1m34s - Times executed: 2 ]
[ User: postgres - Total duration: 1m30s - Times executed: 2 ]
[ User: postgres - Total duration: 1m24s - Times executed: 2 ]
[ User: postgres - Total duration: 55s546ms - Times executed: 2 ]
[ User: postgres - Total duration: 1m50s - Times executed: 4 ]
[ User: postgres - Total duration: 1m37s - Times executed: 4 ]
[ User: postgres - Total duration: 57m - Times executed: 348 ]
[ User: postgres - Total duration: 53m19s - Times executed: 348 ]
[ User: postgres - Total duration: 16m41s - Times executed: 312 ]
[ User: postgres - Total duration: 15m55s - Times executed: 1237 ]
[ User: postgres - Total duration: 2m7s - Times executed: 192 ]
[ User: postgres - Total duration: 52s232ms - Times executed: 120 ]

Time consuming prepare


[ User: postgres - Total duration: 1h7m9s - Times executed: 1139 ]
[ User: postgres - Total duration: 2s976ms - Times executed: 1377 ]
[ User: postgres - Total duration: 2s9ms - Times executed: 798 ]
[ User: postgres - Total duration: 363ms - Times executed: 201 ]
[ User: postgres - Total duration: 411ms - Times executed: 1401 ]
[ User: postgres - Total duration: 643ms - Times executed: 1433 ]
[ User: postgres - Total duration: 718ms - Times executed: 288 ]
[ User: postgres - Total duration: 28ms - Times executed: 18 ]
[ User: postgres - Total duration: 53ms - Times executed: 288 ]
[ User: postgres - Total duration: 2ms - Times executed: 245 ]
[ User: postgres - Total duration: 1ms - Times executed: 472 ]
[ User: postgres - Total duration: 8ms - Times executed: 6 ]
[ User: postgres - Total duration: 2s366ms - Times executed: 5 ]
[ User: postgres - Total duration: 17ms - Times executed: 6 ]
[ User: postgres - Total duration: 8ms - Times executed: 89 ]
[ User: postgres - Total duration: 10ms - Times executed: 6 ]
[ User: postgres - Total duration: 3ms - Times executed: 233 ]
[ User: postgres - Total duration: 3ms - Times executed: 1 ]
[ User: postgres - Total duration: 661ms - Times executed: 8 ]
[ User: postgres - Total duration: 0ms - Times executed: 6 ]

Time consuming bind


[ User: postgres - Total duration: 2h9m32s - Times executed: 2035 ]
[ User: postgres - Total duration: 29s705ms - Times executed: 20465 ]
[ User: postgres - Total duration: 51s788ms - Times executed: 119 ]
[ User: postgres - Total duration: 154ms - Times executed: 30 ]
[ User: postgres - Total duration: 363ms - Times executed: 201 ]
[ User: postgres - Total duration: 3s325ms - Times executed: 1842 ]
[ User: postgres - Total duration: 46ms - Times executed: 13744 ]
[ User: postgres - Total duration: 415ms - Times executed: 1414 ]
[ User: postgres - Total duration: 662ms - Times executed: 1445 ]
[ User: postgres - Total duration: 718ms - Times executed: 288 ]
[ User: postgres - Total duration: 0ms - Times executed: 24 ]
[ User: postgres - Total duration: 53ms - Times executed: 288 ]
[ User: postgres - Total duration: 661ms - Times executed: 8 ]
[ User: postgres - Total duration: 28ms - Times executed: 18 ]
[ User: postgres - Total duration: 169ms - Times executed: 14 ]
[ User: postgres - Total duration: 10ms - Times executed: 6 ]
[ User: postgres - Total duration: 7ms - Times executed: 81 ]
[ User: postgres - Total duration: 490ms - Times executed: 202 ]
[ User: postgres - Total duration: 4ms - Times executed: 124 ]
[ User: postgres - Total duration: 8ms - Times executed: 6 ]

Log levels

Key values

182,048 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	183	0.10%
DETAIL	57,888	31.80%
ERROR	13	0.01%
LOG	123,724	67.96%
STATEMENT	240	0.13%

Events distribution

Key values

0 PANIC entries
0 FATAL entries
19 ERROR entries
0 WARNING entries

Most Frequent Errors/Events

Key values

15 Max number of times the same event was reported
19 Total events found

Rank

Times reported

Error

1

15

Details

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

Times Reported Most Frequent Error / Event #1

Day	Hour	Count
Mar 30	06	15

LOG: process 1115 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.060 ms at character 28
LOG: process 1159 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.064 ms at character 28
LOG: process 1540 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.059 ms at character 28

2

4

Details

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

Times Reported Most Frequent Error / Event #2

Day	Hour	Count
Mar 30	06	4

LOG: process 14277 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 1000.046 ms
LOG: process 14277 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 652213.156 ms
LOG: process 17778 still waiting for AccessExclusiveLock on relation 5894441 of database 5881926 after 1000.053 ms

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 user

Key values

Connections per host

Key values

Sessions

Simultaneous sessions

Key values

Histogram of session times

Key values

Sessions per database

Key values

Sessions per user

Key values

Sessions per host

Key values

Sessions per application

Key values

Checkpoints / Restartpoints

Checkpoints Buffers

Key values

Checkpoints Wal files

Key values

Checkpoints distance

Key values

Checkpoints Activity

Checkpoint causes

Key values

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

Analyzes per table

Key values

Vacuums per table

Key values

Tuples removed per table

Key values

Pages removed per table

Key values

Pages removed per tables

Autovacuum Activity

Locks

Locks by types

Key values

Most frequent waiting queries (N)

Queries that waited the most

Queries

Queries by type

Key values

Queries by database

Key values

Queries by user

Key values

Duration by user