pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Sun Mar 2 04:59:41 2025
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2025-03-02_060000.log
Parsed 861,743 log entries in 40s
Log start from 2025-03-02 06:00:00 to 2025-03-02 06:59:38

Global Stats

3,262 Number of unique normalized queries
65,531 Number of queries
3h6m9s Total query duration
2025-03-02 06:00:00 First query
2025-03-02 06:59:38 Last query
3,305 queries/s at 2025-03-02 06:05:02 Query peak

3h6m9s Total query duration
2s839ms Prepare/parse total duration
29s19ms Bind total duration
3h5m37s Execute total duration

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

27 Total number of automatic vacuums
35 Total number of automatic analyzes

357 Number temporary file
50.81 MiB Max size of temporary file
4.16 MiB Average size of temporary file

2,174 Total number of sessions
12 sessions at 2025-03-02 06:53:27 Session peak
1d9h34m10s Total duration of sessions
55s589ms Average duration of sessions
30 Average queries per session
5s137ms Average queries duration per session
50s451ms Average idle time per session

2,174 Total number of connections
28 connections/s at 2025-03-02 06:53:49 Connection peak
5 Total number of databases

SQL Traffic

Key values

3,305 queries/s Query Peak
2025-03-02 06:05:02 Date

SELECT Traffic

Key values

3,276 queries/s Query Peak
2025-03-02 06:05:02 Date

INSERT/UPDATE/DELETE Traffic

Key values

245 queries/s Query Peak
2025-03-02 06:22:15 Date

Queries duration

Key values

3h6m9s 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 02	06	65,531	0ms	13m19s	169ms	4m27s	4m58s	32m29s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Mar 02	06	45,999	600	65ms	1m22s	2m4s	3m51s

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Mar 02	06	13,687	701	13	78	4ms	609ms	1s34ms	4s214ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
Mar 02	06	7,622	44,007	5.77	11.91%

Day	Hour	Count	Average / Second
Mar 02	06	2,174	0.60/s

Day	Hour	Count	Average Duration	Average idle time
Mar 02	06	2,174	55s589ms	50s466ms

↑ Back to the top of the General Activity table

Established Connections

Key values

28 connections Connection Peak
2025-03-02 06:53:49 Date

Connections per database

Key values

acaweb_fx Main Database
2,174 connections Total

Chart
Table

Database	User	Count
acaweb_fx		2,103
	pg_dump	1
	postgres	1,771
	psql	331
acaweb_fx_integer		1
	pg_dump	1
postgres		3
	pg_dump	1
	psql	2
socialmedia		66
	pg_dump	1
	postgres	65
translations		1
	pg_dump	1

Connections per user

Key values

postgres Main User
2,174 connections Total

Chart
Table

User	Count
pg_dump	5
postgres	1,836
psql	333

Connections per host

Key values

192.168.4.142 Main host with 979 connections
2,174 Total connections

Chart
Table

Host	Count
127.0.0.1	110
192.168.1.145	100
192.168.1.20	119
192.168.1.239	78
192.168.1.250	32
192.168.1.90	6
192.168.2.126	18
192.168.2.82	44
192.168.3.199	65
192.168.4.142	979
192.168.4.33	65
192.168.4.98	330
[local]	228

Simultaneous sessions

Key values

12 sessions Session Peak
2025-03-02 06:53:27 Date

Histogram of session times

Key values

1,827 0-500ms duration

Chart
Table

Range	Count	Percentage
0ms-500ms	1,827	84.04%
500ms-1s	73	3.36%
1s-30s	150	6.90%
30s-1m	27	1.24%
1m-10m	38	1.75%
10m-30m	49	2.25%
30m-1h	9	0.41%
1h-8h	1	0.05%
> 8h	0	0.00%

Sessions per database

Key values

acaweb_fx Main Database
2,174 sessions Total

Chart
Table

Database	User	Count	Total Duration
acaweb_fx	2,103	1d9h14m27s	56s903ms
acaweb_fx_integer	1	19m36s	19m36s
postgres	3	242ms	80ms
socialmedia	66	7s1ms	106ms
translations	1	162ms	162ms

Sessions per user

Key values

postgres Main User
2,174 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
2,174 sessions Total

Chart
Table

Host	Count	Total Duration	Average Duration
127.0.0.1	110	33m12s	18s117ms
192.168.1.145	100	2h2m24s	1m13s
192.168.1.20	119	15h24m	7m45s
192.168.1.239	78	702ms	9ms
192.168.1.250	32	11h35m35s	21m44s
192.168.1.90	6	69ms	11ms
192.168.2.126	18	5s454ms	303ms
192.168.2.82	44	3h29m2s	4m45s
192.168.3.199	65	51s825ms	797ms
192.168.4.142	979	10m57s	671ms
192.168.4.33	65	5s	76ms
192.168.4.98	330	20s951ms	63ms
[local]	228	17m33s	4s618ms

Sessions per application

Key values

[unknown] Main Host
2,174 sessions Total

Chart
Table

Application	Count	Total Duration	Average Duration
PostgreSQL JDBC Driver	251	1d5h2m	6m56s
[unknown]	1,585	3h41m24s	8s381ms
pg_dump	5	33m8s	6m37s
psql	333	17m37s	3s176ms

Checkpoints Buffers

Key values

3,505 buffers Checkpoint Peak
2025-03-02 06:06:57 Date
209.569 seconds Highest write time
0.012 seconds Sync time

Checkpoints Wal files

Key values

2 files Wal files usage Peak
2025-03-02 06:51:58 Date

Checkpoints distance

Key values

56.09 Mo Distance Peak
2025-03-02 06:06:57 Date

Checkpoints Activity

Day	Hour	Written buffers	Write time	Sync time	Total time
Mar 02	06	12,542	1,160.247s	0.04s	1,160.551s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
Mar 02	06	0	0	9	1,185	0.011s	0s

Day	Hour	Count	Avg time (sec)
Mar 02	06	0	0s

Day	Hour	Mean distance	Mean estimate
Mar 02	06	12,272.92 kB	23,951.92 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

38.62 MiB Temp Files size Peak
2025-03-02 06:33:14 Date

Number of temporary files

Key values

30 per second Temp Files Peak
2025-03-02 06:02:06 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
Mar 02	06	357	1.45 GiB	4.16 MiB

↑ Back to the top of the Temporary Files Activity table

Queries generating the most temporary files (N)

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	147	579.26 MiB	3.07 MiB	4.83 MiB	3.94 MiB	with rar_max as ( ; WITH rar_max as ( ; Date: 2025-03-02 06:00:17 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver
2	13	200.38 MiB	15.41 MiB	15.41 MiB	15.41 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: 2025-03-02 06:26:14 Duration: 2s320ms 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: 2025-03-02 06:31:14 Duration: 2s250ms 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: 2025-03-02 06:18:33 Duration: 2s188ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
3	13	502.12 MiB	38.62 MiB	38.62 MiB	38.62 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: 2025-03-02 06:26:18 Duration: 3s640ms 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: 2025-03-02 06:31:18 Duration: 3s465ms 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: 2025-03-02 06:56:16 Duration: 2s533ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
4	4	203.19 MiB	50.79 MiB	50.81 MiB	50.80 MiB	select updateageforrelevantresults (); select updateageforrelevantresults (); Date: 2025-03-02 06:32:26 Duration: 24s10ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2025-03-02 06:47:25 Duration: 22s957ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2025-03-02 06:17:22 Duration: 19s682ms Database: acaweb_fx User: postgres Remote: [local] Application: psql

Queries generating the largest temporary files


[ Date: 2025-03-02 06:02:03 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:32:19 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:47:18 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:17:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:01:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:03:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:18:36 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:20:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:26:18 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:31:18 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:33:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:35:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:41:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:46:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:48:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:50:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:56:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:01:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:03:11 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:18:33 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]

Rank	Size	Query
1	50.81 MiB	select updateageforrelevantresults (); [ Date: 2025-03-02 06:02:03 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	50.80 MiB	select updateageforrelevantresults (); [ Date: 2025-03-02 06:32:19 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	50.79 MiB	select updateageforrelevantresults (); [ Date: 2025-03-02 06:47:18 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
4	50.79 MiB	select updateageforrelevantresults (); [ Date: 2025-03-02 06:17:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
5	38.62 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: 2025-03-02 06:01:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
6	38.62 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: 2025-03-02 06:03:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
7	38.62 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: 2025-03-02 06:18:36 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
8	38.62 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: 2025-03-02 06:20:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
9	38.62 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: 2025-03-02 06:26:18 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
10	38.62 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: 2025-03-02 06:31:18 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
11	38.62 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: 2025-03-02 06:33:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
12	38.62 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: 2025-03-02 06:35:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
13	38.62 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: 2025-03-02 06:41:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
14	38.62 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: 2025-03-02 06:46:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
15	38.62 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: 2025-03-02 06:48:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
16	38.62 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: 2025-03-02 06:50:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
17	38.62 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: 2025-03-02 06:56:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
18	15.41 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: 2025-03-02 06:01:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
19	15.41 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: 2025-03-02 06:03:11 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
20	15.41 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: 2025-03-02 06:18:33 - 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)
35 analyzes Total

Chart
Table

Table	Number of analyzes
acaweb_fx.public.solr_relevance_old	13
acaweb_fx.public.datafeeds_latestrun	5
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.pg_catalog.pg_depend	1
acaweb_fx.public.relevance_keylevels_results	1
acaweb_fx.public.relevance_autochartist_results	1
acaweb_fx.public.latest_candle_datetime_per_receng	1
acaweb_fx.public.relevance_fibonacci_results	1
Total	35

Vacuums per table

Key values

public.solr_relevance_old (14) Main table vacuumed on database acaweb_fx
27 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	14	13	11,118	0	42	0	0	7,945	833	4,349,895
acaweb_fx.public.datafeeds_latestrun	5	1	569	0	25	0	0	86	16	73,138
acaweb_fx.pg_toast.pg_toast_2619	1	1	167	0	28	0	0	104	26	110,106
acaweb_fx.pg_catalog.pg_type	1	1	137	0	20	0	0	46	16	99,303
acaweb_fx.pg_catalog.pg_statistic	1	1	796	0	125	0	688	491	207	808,210
acaweb_fx.pg_catalog.pg_attribute	1	1	719	0	171	0	64	359	145	867,378
acaweb_fx.public.latest_t15_candle_view	1	1	65	0	1	0	0	6	1	9,013
acaweb_fx.public.relevance_keylevels_results	1	1	4,013	0	240	3	98	595	233	1,094,889
acaweb_fx.pg_catalog.pg_class	1	1	372	0	30	0	41	131	31	176,427
acaweb_fx.public.relevance_fibonacci_results	1	1	1,233	0	53	0	60	131	45	250,120
Total	27	22	19,189	5,635	735	3	951	9,894	1,553	7,838,479

Tuples removed per table

Key values

public.solr_relevance_old (70635) Main table with removed tuples on database acaweb_fx
74146 tuples Total removed

Chart
Table

		Index	Tuples			Pages
Table	Vacuums	scans	removed	remain	not yet removable	removed	remain
acaweb_fx.public.solr_relevance_old	14	13	70,635	93,632	6,761	0	2,734
acaweb_fx.pg_catalog.pg_attribute	1	1	1,203	9,694	252	0	242
acaweb_fx.public.relevance_keylevels_results	1	1	823	13,147	0	0	279
acaweb_fx.pg_catalog.pg_statistic	1	1	817	4,584	0	0	1,194
acaweb_fx.public.datafeeds_latestrun	5	1	285	75	0	0	80
acaweb_fx.pg_catalog.pg_class	1	1	154	1,999	54	0	150
acaweb_fx.pg_toast.pg_toast_2619	1	1	70	172	2	0	51
acaweb_fx.public.relevance_fibonacci_results	1	1	66	1,438	25	0	102
acaweb_fx.public.latest_t15_candle_view	1	1	56	14	0	0	1
acaweb_fx.pg_catalog.pg_type	1	1	37	1,389	55	0	38
Total	27	22	74,146	126,144	7,149	0	4,871

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	70
acaweb_fx.pg_catalog.pg_type	1	1	37
acaweb_fx.public.datafeeds_latestrun	5	1	285
acaweb_fx.pg_catalog.pg_statistic	1	1	817
acaweb_fx.pg_catalog.pg_attribute	1	1	1203
acaweb_fx.public.latest_t15_candle_view	1	1	56
acaweb_fx.public.relevance_keylevels_results	1	1	823
acaweb_fx.pg_catalog.pg_class	1	1	154
acaweb_fx.public.solr_relevance_old	14	13	70635
acaweb_fx.public.relevance_fibonacci_results	1	1	66
Total	27	22	74,146

Autovacuum Activity

Vacuums / Analyzes

Day	Hour	VACUUMs	ANALYZEs
Mar 02	06	27	35

↑ Back to the top of the Autovacuum Activity table

Locks by types

Key values

AccessShareLock Main Lock Type
14 locks Total

Chart
Table

Type	Object	Count	Total Duration	Average Duration (s)
AccessExclusiveLock		2	14m49s	7m24s
	relation	2	14m49s	7m24s
AccessShareLock		12	15m15s	1m16s
	relation	12	15m15s	1m16s
	Total	14	30m4s	2m8s

Most frequent waiting queries (N)

Rank	Count	Total time	Min time	Max time	Avg duration	Query
1	12	15m15s	1m	1m29s	1m16s	select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?; SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 2'; Date: 2025-03-02 06:18:32 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; Date: 2025-03-02 06:18:32 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1'; Date: 2025-03-02 06:18:32 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
2	1	13m19s	13m19s	13m19s	13m19s	truncate table solr_relevance_old; TRUNCATE TABLE solr_relevance_old; Date: 2025-03-02 06:18:31 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2025-03-02 06:26:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2025-03-02 06:46:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
3	1	1m29s	1m29s	1m29s	1m29s	refresh materialized view latest_candle_datetime_per_receng; refresh materialized view latest_candle_datetime_per_receng; Date: 2025-03-02 06:18:32 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2025-03-02 06:32:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2025-03-02 06:47:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql

Rank

Count

Total time

Min time

Max time

Avg duration

Query

1

12

15m15s

1m

1m29s

1m16s

select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?;

SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 2';

Date: 2025-03-02 06:18:32 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1';

Date: 2025-03-02 06:18:32 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1';

Date: 2025-03-02 06:18:32 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]

2

1

13m19s

truncate table solr_relevance_old;

TRUNCATE TABLE solr_relevance_old;

Date: 2025-03-02 06:18:31 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2025-03-02 06:26:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2025-03-02 06:46:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql

3

1

1m29s

refresh materialized view latest_candle_datetime_per_receng;

refresh materialized view latest_candle_datetime_per_receng;

Date: 2025-03-02 06:18:32 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2025-03-02 06:32:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2025-03-02 06:47:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql

Queries that waited the most


[ Date: 2025-03-02 06:18:31 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:18:31 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Rank	Wait time	Query
1	13m19s	TRUNCATE TABLE solr_relevance_old; [ Date: 2025-03-02 06:18:31 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	1m29s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2025-03-02 06:18:31 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	1m29s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 2'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
4	1m27s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
5	1m27s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
6	1m25s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 4'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
7	1m24s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
8	1m21s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GO_MARKETS - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
9	1m17s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
10	1m10s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IQFEED_FX - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
11	1m4s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
12	1m4s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'FPMARKETS - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
13	1m1s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
14	1m	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 3'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Queries by type

Key values

45,999 Total read queries
18,015 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	45,999	70.19%
INSERT	13,687	20.89%
UPDATE	701	1.07%
DELETE	13	0.02%
COPY FROM	78	0.12%
COPY TO	600	0.92%
CTE	2,258	3.45%
DDL	13	0.02%
TCL	665	1.01%
CURSOR	0	0.00%
OTHERS	1,517	2.31%

Queries by database

Key values

acaweb_fx Main database
61,071 Requests
2h46m14s (acaweb_fx)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	61,071	2h46m14s
	copy from	78	6s246ms
	copy to	305	13m22s
	cte	2,254	1h58m34s
	ddl	13	13m20s
	delete	13	19ms
	insert	13,629	35s557ms
	others	1,186	1m48s
	select	42,243	18m9s
	tcl	661	187ms
	update	689	16s718ms
acaweb_fx_integer	Total	3,584	19m20s
	copy to	276	19m19s
	cte	1	5ms
	others	285	16ms
	select	3,021	1s149ms
	tcl	1	0ms
postgres	Total	367	219ms
	cte	1	1ms
	others	9	0ms
	select	356	218ms
	tcl	1	0ms
socialmedia	Total	462	1s869ms
	copy to	19	1s441ms
	cte	1	1ms
	insert	58	78ms
	others	28	0ms
	select	343	327ms
	tcl	1	0ms
	update	12	21ms
translations	Total	47	155ms
	cte	1	1ms
	others	9	0ms
	select	36	153ms
	tcl	1	0ms

Queries by user

Key values

postgres Main user
65,531 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	65,531	3h5m37s
	copy from	78	6s246ms
	copy to	600	32m43s
	cte	2,258	1h58m34s
	ddl	13	13m20s
	delete	13	19ms
	insert	13,687	35s635ms
	others	1,517	1m48s
	select	45,999	18m11s
	tcl	665	187ms
	update	701	16s739ms

Duration by user

Key values

3h5m37s (postgres) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	65,531	3h5m37s
	copy from	78	6s246ms
	copy to	600	32m43s
	cte	2,258	1h58m34s
	ddl	13	13m20s
	delete	13	19ms
	insert	13,687	35s635ms
	others	1,517	1m48s
	select	45,999	18m11s
	tcl	665	187ms
	update	701	16s739ms

Queries by host

Key values

192.168.1.20 Main host
18,446 Requests
48m10s (127.0.0.1)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
127.0.0.1	Total	10,539	48m10s
	copy to	600	32m43s
	cte	22	133ms
	insert	585	1s473ms
	others	619	20ms
	select	8,559	15m24s
	tcl	5	0ms
	update	149	323ms
182.165.1.42	Total	120	8m53s
	cte	60	8m53s
	select	60	0ms
192.168.0.23	Total	6	3ms
	select	6	3ms
192.168.0.236	Total	4	0ms
	cte	2	0ms
	select	2	0ms
192.168.0.239	Total	45	560ms
	select	45	560ms
192.168.0.42	Total	51	658ms
	select	51	658ms
192.168.1.135	Total	22	40ms
	cte	2	7ms
	select	20	33ms
192.168.1.145	Total	16,168	32m49s
	cte	618	32m34s
	others	200	1ms
	select	15,350	15s253ms
192.168.1.20	Total	18,446	32m52s
	cte	617	32m35s
	others	238	2ms
	select	17,591	16s981ms
192.168.1.201	Total	398	4s8ms
	select	398	4s8ms
192.168.1.23	Total	790	7s358ms
	select	790	7s358ms
192.168.1.239	Total	312	186ms
	others	156	13ms
	select	156	172ms
192.168.1.250	Total	2,449	44m2s
	cte	851	44m1s
	others	64	0ms
	select	1,534	770ms
192.168.1.90	Total	6	11ms
	select	6	11ms
192.168.1.97	Total	16	0ms
	cte	8	0ms
	select	8	0ms
192.168.2.126	Total	30	29ms
	others	12	0ms
	select	18	29ms
192.168.2.205	Total	89	14ms
	insert	89	14ms
192.168.2.82	Total	8,966	41s423ms
	insert	8,112	29s559ms
	others	88	9ms
	select	616	11s264ms
	update	150	590ms
192.168.3.199	Total	260	330ms
	others	130	12ms
	select	118	132ms
	update	12	184ms
192.168.4.142	Total	5,367	5s46ms
	insert	4,843	4s510ms
	select	524	536ms
192.168.4.33	Total	171	204ms
	insert	58	78ms
	select	101	105ms
	update	12	21ms
192.168.4.98	Total	996	17s36ms
	others	6	16s235ms
	select	6	32ms
	tcl	660	187ms
	update	324	581ms
[local]	Total	280	17m32s
	copy from	78	6s246ms
	cte	78	29s526ms
	ddl	13	13m20s
	delete	13	19ms
	others	4	1m32s
	select	40	1m48s
	update	54	15s38ms

Queries by application

Key values

PostgreSQL JDBC Driver Main application
38,124 Requests
1h49m56s (PostgreSQL JDBC Driver)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
PostgreSQL JDBC Driver	Total	38,124	1h49m56s
	cte	2,088	1h49m10s
	others	251	2ms
	select	35,785	45s628ms
[unknown]	Total	18,861	25m21s
	cte	70	8m53s
	insert	13,687	35s635ms
	others	643	16s273ms
	select	3,162	15m34s
	tcl	660	187ms
	update	639	1s684ms
pg_dump	Total	8,161	32m42s
	copy to	574	32m39s
	cte	5	14ms
	others	619	20ms
	select	6,958	2s537ms
	tcl	5	0ms
psql	Total	385	17m37s
	copy from	78	6s246ms
	copy to	26	4s164ms
	cte	95	29s646ms
	ddl	13	13m20s
	delete	13	19ms
	others	4	1m32s
	select	94	1m49s
	update	62	15s55ms

Number of cancelled queries

Key values

0 per second Cancelled query Peak
2025-03-02 06:48:47 Date

Number of cancelled queries (5 minutes period)

NO DATASET

Histogram of query times

Key values

38,106 0-1ms duration

Chart
Table

Range	Count	Percentage
0-1ms	38,106	58.15%
1-5ms	23,724	36.20%
5-10ms	808	1.23%
10-25ms	631	0.96%
25-50ms	448	0.68%
50-100ms	265	0.40%
100-500ms	380	0.58%
500-1000ms	160	0.24%
1000-10000ms	703	1.07%
> 10000ms	306	0.47%

Slowest individual queries


[ Date: 2025-03-02 06:18:31 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:08:24 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-02 06:31:04 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-02 06:14:01 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-02 06:20:42 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-02 06:35:26 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-02 06:23:52 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:22:13 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:27:07 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-03-02 06:11:16 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-03-02 06:28:16 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Rank	Duration	Query
1	13m19s	TRUNCATE TABLE solr_relevance_old; [ Date: 2025-03-02 06:18:31 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	3m21s	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: 2025-03-02 06:08:24 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
3	2m43s	COPY public.researchreports (researchreportid, type, createddatetime, language, filename, xml) TO stdout; [ Date: 2025-03-02 06:31:04 - 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: 2025-03-02 06:14:01 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
5	2m10s	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: 2025-03-02 06:20:42 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
6	1m51s	COPY public.t15_ps (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten) TO stdout; [ Date: 2025-03-02 06:35:26 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
7	1m38s	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: 2025-03-02 06:23:52 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
8	1m30s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
9	1m29s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 2'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
10	1m27s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; [ Date: 2025-03-02 06:18:32 - 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: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
12	1m25s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 4'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
13	1m24s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
14	1m22s	COPY public.authenticationlog (attemptid, username, password, brokerid, authclass, attemptdatetime, success, fingerprint, accounttype) TO stdout; [ Date: 2025-03-02 06:22:13 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
15	1m21s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GO_MARKETS - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
16	1m17s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
17	1m12s	COPY public.powerstats_trumpet (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: 2025-03-02 06:27:07 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
18	1m10s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IQFEED_FX - 1'; [ Date: 2025-03-02 06:18:32 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
19	1m9s	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: 2025-03-02 06:11:16 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
20	1m8s	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: 2025-03-02 06:28:16 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Time consuming queries


[ User: postgres - Total duration: 54m5s - Times executed: 303 ]
[ User: postgres - Total duration: 44m52s - Times executed: 304 ]
[ User: postgres - Total duration: 15m39s - Times executed: 290 ]
[ User: postgres - Total duration: 15m15s - Times executed: 1405 ]
[ User: postgres - Total duration: 13m20s - Times executed: 13 ]
[ User: postgres - Total duration: 5m31s - Times executed: 2 ]
[ User: postgres - Total duration: 5m25s - Times executed: 2 ]
[ User: postgres - Total duration: 2m51s - Times executed: 2 ]
[ User: postgres - Total duration: 2m18s - Times executed: 2 ]
[ User: postgres - Total duration: 2m16s - Times executed: 210 ]
[ User: postgres - Total duration: 1m53s - Times executed: 2 ]
[ User: postgres - Total duration: 1m51s - Times executed: 2 ]
[ User: postgres - Total duration: 1m44s - Times executed: 2 ]
[ User: postgres - Total duration: 1m34s - Times executed: 2 ]
[ User: postgres - Total duration: 1m32s - Times executed: 4 ]
[ User: postgres - Total duration: 1m28s - Times executed: 2 ]
[ User: postgres - Total duration: 1m24s - Times executed: 2 ]
[ User: postgres - Total duration: 1m13s - Times executed: 4 ]
[ User: postgres - Total duration: 52s92ms - Times executed: 2 ]
[ User: postgres - Total duration: 50s601ms - Times executed: 90 ]

Most frequent queries (N)


[ User: postgres - Total duration: 52ms - Times executed: 14267 ]
[ User: postgres - Total duration: 11s42ms - Times executed: 9802 ]
[ User: postgres - Total duration: 17s148ms - Times executed: 9460 ]
[ User: postgres - Total duration: 3s150ms - Times executed: 1849 ]
[ User: postgres - Total duration: 24ms - Times executed: 1620 ]
[ User: postgres - Total duration: 762ms - Times executed: 1477 ]
[ User: postgres - Total duration: 472ms - Times executed: 1421 ]
[ User: postgres - Total duration: 15m15s - Times executed: 1405 ]
[ User: postgres - Total duration: 6s647ms - Times executed: 1392 ]
[ User: postgres - Total duration: 105ms - Times executed: 919 ]
[ User: postgres - Total duration: 1s51ms - Times executed: 783 ]
[ User: postgres - Total duration: 250ms - Times executed: 728 ]
[ User: postgres - Total duration: 89ms - Times executed: 637 ]
[ User: postgres - Total duration: 3s559ms - Times executed: 613 ]
[ User: postgres - Total duration: 40ms - Times executed: 574 ]
[ User: postgres - Total duration: 251ms - Times executed: 510 ]
[ User: postgres - Total duration: 879ms - Times executed: 509 ]
[ User: postgres - Total duration: 430ms - Times executed: 494 ]
[ User: postgres - Total duration: 177ms - Times executed: 443 ]
[ User: postgres - Total duration: 10s110ms - Times executed: 388 ]

Normalized slowest queries (N)


[ User: postgres - Total duration: 5m31s - Times executed: 2 ]
[ User: postgres - Total duration: 5m25s - Times executed: 2 ]
[ User: postgres - Total duration: 2m51s - Times executed: 2 ]
[ User: postgres - Total duration: 2m18s - Times executed: 2 ]
[ User: postgres - Total duration: 13m20s - Times executed: 13 ]
[ User: postgres - Total duration: 1m53s - Times executed: 2 ]
[ User: postgres - Total duration: 1m51s - Times executed: 2 ]
[ User: postgres - Total duration: 1m44s - Times executed: 2 ]
[ User: postgres - Total duration: 1m34s - Times executed: 2 ]
[ User: postgres - Total duration: 1m28s - Times executed: 2 ]
[ User: postgres - Total duration: 1m24s - Times executed: 2 ]
[ User: postgres - Total duration: 52s92ms - Times executed: 2 ]
[ User: postgres - Total duration: 1m32s - Times executed: 4 ]
[ User: postgres - Total duration: 1m13s - Times executed: 4 ]
[ User: postgres - Total duration: 54m5s - Times executed: 303 ]
[ User: postgres - Total duration: 44m52s - Times executed: 304 ]
[ User: postgres - Total duration: 15m39s - Times executed: 290 ]
[ User: postgres - Total duration: 15m15s - Times executed: 1405 ]
[ User: postgres - Total duration: 2m16s - Times executed: 210 ]
[ User: postgres - Total duration: 50s601ms - Times executed: 90 ]

Time consuming prepare


[ User: postgres - Total duration: 59m19s - Times executed: 1004 ]
[ User: postgres - Total duration: 2s790ms - Times executed: 1353 ]
[ User: postgres - Total duration: 3s665ms - Times executed: 861 ]
[ User: postgres - Total duration: 445ms - Times executed: 220 ]
[ User: postgres - Total duration: 469ms - Times executed: 1389 ]
[ User: postgres - Total duration: 757ms - Times executed: 1473 ]
[ User: postgres - Total duration: 31ms - Times executed: 18 ]
[ User: postgres - Total duration: 2ms - Times executed: 263 ]
[ User: postgres - Total duration: 2ms - Times executed: 564 ]
[ User: postgres - Total duration: 9ms - Times executed: 6 ]
[ User: postgres - Total duration: 693ms - Times executed: 2 ]
[ User: postgres - Total duration: 28ms - Times executed: 60 ]
[ User: postgres - Total duration: 14ms - Times executed: 89 ]
[ User: postgres - Total duration: 15ms - Times executed: 4 ]
[ User: postgres - Total duration: 96ms - Times executed: 36 ]
[ User: postgres - Total duration: 0ms - Times executed: 9 ]
[ User: postgres - Total duration: 2ms - Times executed: 251 ]
[ User: postgres - Total duration: 48ms - Times executed: 6 ]
[ User: postgres - Total duration: 0ms - Times executed: 1 ]
[ User: postgres - Total duration: 12ms - Times executed: 4 ]

Time consuming bind


[ User: postgres - Total duration: 1h57m8s - Times executed: 2024 ]
[ User: postgres - Total duration: 32s939ms - Times executed: 21210 ]
[ User: postgres - Total duration: 50s176ms - Times executed: 89 ]
[ User: postgres - Total duration: 125ms - Times executed: 31 ]
[ User: postgres - Total duration: 445ms - Times executed: 220 ]
[ User: postgres - Total duration: 3s150ms - Times executed: 1849 ]
[ User: postgres - Total duration: 47ms - Times executed: 14213 ]
[ User: postgres - Total duration: 472ms - Times executed: 1421 ]
[ User: postgres - Total duration: 0ms - Times executed: 12 ]
[ User: postgres - Total duration: 762ms - Times executed: 1477 ]
[ User: postgres - Total duration: 65ms - Times executed: 5 ]
[ User: postgres - Total duration: 31ms - Times executed: 18 ]
[ User: postgres - Total duration: 28ms - Times executed: 60 ]
[ User: postgres - Total duration: 48ms - Times executed: 6 ]
[ User: postgres - Total duration: 96ms - Times executed: 36 ]
[ User: postgres - Total duration: 694ms - Times executed: 274 ]
[ User: postgres - Total duration: 7ms - Times executed: 84 ]
[ User: postgres - Total duration: 5ms - Times executed: 139 ]
[ User: postgres - Total duration: 44ms - Times executed: 3 ]
[ User: postgres - Total duration: 3ms - Times executed: 63 ]

Log levels

Key values

183,129 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	184	0.10%
DETAIL	58,528	31.96%
ERROR	13	0.01%
LOG	124,161	67.80%
STATEMENT	243	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 02	06	15

LOG: process 3117 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.053 ms at character 28
LOG: process 3112 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.058 ms at character 28
LOG: process 3191 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.047 ms at character 28

2

3

Details

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

Times Reported Most Frequent Error / Event #2

Day	Hour	Count
Mar 02	06	3

LOG: process 19328 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 1000.049 ms
LOG: process 19328 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 651582.278 ms
LOG: process 20765 still waiting for AccessExclusiveLock on relation 5894441 of database 5881926 after 1000.042 ms

3

1

Details

ERROR: relation "..." does not exist

Times Reported Most Frequent Error / Event #3

Day	Hour	Count
Mar 02	06	1

ERROR: relation "t0" does not exist at character 83

Global information

Overview

Global Stats

SQL Traffic

Key values

SELECT Traffic

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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

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Connections per user

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Connections per host

Key values

Sessions

Simultaneous sessions

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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

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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