pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Sun May 4 04:59:37 2025
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2025-05-04_060000.log
Parsed 980,146 log entries in 36s
Log start from 2025-05-04 06:00:00 to 2025-05-04 06:59:35

Global Stats

3,120 Number of unique normalized queries
68,037 Number of queries
3h10m46s Total query duration
2025-05-04 06:00:00 First query
2025-05-04 06:59:35 Last query
3,016 queries/s at 2025-05-04 06:05:02 Query peak

3h10m46s Total query duration
3s174ms Prepare/parse total duration
32s315ms Bind total duration
3h10m11s 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

24 Total number of automatic vacuums
35 Total number of automatic analyzes

351 Number temporary file
55.50 MiB Max size of temporary file
4.91 MiB Average size of temporary file

2,191 Total number of sessions
13 sessions at 2025-05-04 06:56:15 Session peak
1d19h19m25s Total duration of sessions
1m11s Average duration of sessions
31 Average queries per session
5s224ms Average queries duration per session
1m5s Average idle time per session

2,191 Total number of connections
29 connections/s at 2025-05-04 06:38:48 Connection peak
5 Total number of databases

SQL Traffic

Key values

3,016 queries/s Query Peak
2025-05-04 06:05:02 Date

SELECT Traffic

Key values

2,998 queries/s Query Peak
2025-05-04 06:05:02 Date

INSERT/UPDATE/DELETE Traffic

Key values

249 queries/s Query Peak
2025-05-04 06:32:34 Date

Queries duration

Key values

3h10m46s 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)
May 04	06	68,037	0ms	13m46s	167ms	5m34s	6m58s	34m46s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
May 04	06	51,360	600	62ms	1m13s	2m22s	3m53s

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
May 04	06	11,138	733	13	78	4ms	493ms	1s132ms	2s883ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
May 04	06	8,589	49,756	5.79	12.92%

Day	Hour	Count	Average / Second
May 04	06	2,191	0.61/s

Day	Hour	Count	Average Duration	Average idle time
May 04	06	2,191	1m11s	1m5s

↑ Back to the top of the General Activity table

Established Connections

Key values

29 connections Connection Peak
2025-05-04 06:38:48 Date

Connections per database

Key values

acaweb_fx Main Database
2,191 connections Total

Chart
Table

Database	User	Count
acaweb_fx		2,096
	pg_dump	1
	postgres	1,762
	psql	333
acaweb_fx_integer		1
	pg_dump	1
postgres		3
	pg_dump	1
	psql	2
socialmedia		90
	pg_dump	1
	postgres	89
translations		1
	pg_dump	1

Connections per user

Key values

postgres Main User
2,191 connections Total

Chart
Table

User	Count
pg_dump	5
postgres	1,851
psql	335

Connections per host

Key values

192.168.4.142 Main host with 962 connections
2,191 Total connections

Chart
Table

Host	Count
127.0.0.1	110
192.168.1.145	94
192.168.1.20	124
192.168.1.239	75
192.168.1.250	47
192.168.1.90	6
192.168.2.126	18
192.168.2.82	40
192.168.3.199	66
192.168.4.142	962
192.168.4.33	89
192.168.4.98	330
[local]	230

Simultaneous sessions

Key values

13 sessions Session Peak
2025-05-04 06:56:15 Date

Histogram of session times

Key values

1,840 0-500ms duration

Chart
Table

Range	Count	Percentage
0ms-500ms	1,840	83.98%
500ms-1s	107	4.88%
1s-30s	126	5.75%
30s-1m	16	0.73%
1m-10m	37	1.69%
10m-30m	54	2.46%
30m-1h	4	0.18%
1h-8h	7	0.32%
> 8h	0	0.00%

Sessions per database

Key values

acaweb_fx Main Database
2,191 sessions Total

Chart
Table

Database	User	Count	Total Duration
acaweb_fx	2,096	1d18h59m14s	1m13s
acaweb_fx_integer	1	19m49s	19m49s
postgres	3	238ms	79ms
socialmedia	90	20s730ms	230ms
translations	1	179ms	179ms

Sessions per user

Key values

postgres Main User
2,191 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
2,191 sessions Total

Chart
Table

Host	Count	Total Duration	Average Duration
127.0.0.1	110	33m57s	18s521ms
192.168.1.145	94	10h55m4s	6m58s
192.168.1.20	124	13h54m28s	6m43s
192.168.1.239	75	837ms	11ms
192.168.1.250	47	14h8m46s	18m3s
192.168.1.90	6	65ms	10ms
192.168.2.126	18	5s397ms	299ms
192.168.2.82	40	3h14m49s	4m52s
192.168.3.199	66	2m33s	2s327ms
192.168.4.142	962	9m52s	615ms
192.168.4.33	89	16s99ms	180ms
192.168.4.98	330	24s925ms	75ms
[local]	230	19m6s	4s983ms

Sessions per application

Key values

[unknown] Main Host
2,191 sessions Total

Chart
Table

Application	Count	Total Duration	Average Duration
PostgreSQL JDBC Driver	265	1d14h58m19s	8m49s
[unknown]	1,586	3h28m2s	7s870ms
pg_dump	5	33m51s	6m46s
psql	335	19m12s	3s439ms

Checkpoints Buffers

Key values

3,161 buffers Checkpoint Peak
2025-05-04 06:04:59 Date
209.868 seconds Highest write time
0.043 seconds Sync time

Checkpoints Wal files

Key values

2 files Wal files usage Peak
2025-05-04 06:38:18 Date

Checkpoints distance

Key values

44.32 Mo Distance Peak
2025-05-04 06:38:18 Date

Checkpoints Activity

Day	Hour	Written buffers	Write time	Sync time	Total time
May 04	06	14,413	1,485.981s	0.095s	1,486.347s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
May 04	06	0	0	10	1,443	0.030s	0s

Day	Hour	Count	Avg time (sec)
May 04	06	0	0s

Day	Hour	Mean distance	Mean estimate
May 04	06	13,914.50 kB	20,157.17 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

49.34 MiB Temp Files size Peak
2025-05-04 06:41:17 Date

Number of temporary files

Key values

30 per second Temp Files Peak
2025-05-04 06:47:27 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
May 04	06	351	1.68 GiB	4.91 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	141	612.51 MiB	3.66 MiB	5.34 MiB	4.34 MiB	with rar_max as ( ; WITH rar_max as ( ; Date: 2025-05-04 06:00:12 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver
2	13	297.27 MiB	22.87 MiB	22.87 MiB	22.87 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: 2025-05-04 06:31:15 Duration: 2s735ms 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: 2025-05-04 06:41:14 Duration: 2s649ms 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: 2025-05-04 06:19:01 Duration: 2s388ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
3	13	591.91 MiB	45.53 MiB	45.53 MiB	45.53 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: 2025-05-04 06:33:18 Duration: 4s192ms 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: 2025-05-04 06:31:19 Duration: 3s911ms 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: 2025-05-04 06:26:17 Duration: 3s709ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
4	4	221.94 MiB	55.48 MiB	55.50 MiB	55.49 MiB	select updateageforrelevantresults (); select updateageforrelevantresults (); Date: 2025-05-04 06:32:32 Duration: 29s846ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2025-05-04 06:17:31 Duration: 28s874ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2025-05-04 06:47:30 Duration: 27s888ms Database: acaweb_fx User: postgres Remote: [local] Application: psql

Queries generating the largest temporary files


[ Date: 2025-05-04 06:02:05 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:32:23 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:47:22 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:17:22 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:01:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:03:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:19:03 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:20:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:26:17 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:31:19 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:33:18 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:35:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:41:17 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:46:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:48:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:50:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:56:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:01:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:03:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:19:01 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]

Rank	Size	Query
1	55.50 MiB	select updateageforrelevantresults (); [ Date: 2025-05-04 06:02:05 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	55.49 MiB	select updateageforrelevantresults (); [ Date: 2025-05-04 06:32:23 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	55.48 MiB	select updateageforrelevantresults (); [ Date: 2025-05-04 06:47:22 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
4	55.48 MiB	select updateageforrelevantresults (); [ Date: 2025-05-04 06:17:22 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
5	45.53 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: 2025-05-04 06:01:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
6	45.53 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: 2025-05-04 06:03:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
7	45.53 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: 2025-05-04 06:19:03 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
8	45.53 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: 2025-05-04 06:20:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
9	45.53 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: 2025-05-04 06:26:17 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
10	45.53 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: 2025-05-04 06:31:19 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
11	45.53 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: 2025-05-04 06:33:18 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
12	45.53 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: 2025-05-04 06:35:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
13	45.53 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: 2025-05-04 06:41:17 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
14	45.53 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: 2025-05-04 06:46:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
15	45.53 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: 2025-05-04 06:48:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
16	45.53 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: 2025-05-04 06:50:14 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
17	45.53 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: 2025-05-04 06:56:15 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
18	22.87 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: 2025-05-04 06:01:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
19	22.87 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: 2025-05-04 06:03:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
20	22.87 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: 2025-05-04 06:19:01 - 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	4
acaweb_fx.pg_catalog.pg_attribute	4
acaweb_fx.pg_catalog.pg_class	3
acaweb_fx.pg_catalog.pg_type	2
acaweb_fx.public.relevance_keylevels_results	2
acaweb_fx.pg_catalog.pg_index	1
acaweb_fx.public.autochartist_symbolupdates	1
acaweb_fx.pg_catalog.pg_depend	1
acaweb_fx.public.latest_t15_candle_view	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 (13) Main table vacuumed on database acaweb_fx
24 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	9,874	0	321	0	0	7,410	1,468	6,510,792
acaweb_fx.public.datafeeds_latestrun	4	1	474	0	24	0	0	71	19	66,382
acaweb_fx.pg_toast.pg_toast_2619	1	1	152	0	29	0	0	107	28	128,229
acaweb_fx.public.solr_imports	1	1	65	0	5	0	0	6	4	14,353
acaweb_fx.pg_catalog.pg_attribute	1	1	725	0	179	0	64	359	152	886,333
acaweb_fx.public.latest_t15_candle_view	1	1	66	0	1	0	0	6	4	11,201
acaweb_fx.pg_catalog.pg_class	1	1	386	0	42	0	37	156	49	220,692
acaweb_fx.public.relevance_autochartist_results	1	1	3,409	0	117	0	259	379	112	434,159
acaweb_fx.public.relevance_fibonacci_results	1	1	1,403	0	48	0	54	142	38	175,628
Total	24	21	16,554	4,652	766	0	414	8,636	1,874	8,447,769

Tuples removed per table

Key values

public.solr_relevance_old (68148) Main table with removed tuples on database acaweb_fx
70698 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	68,148	75,483	0	0	2,375
acaweb_fx.pg_catalog.pg_attribute	1	1	1,214	9,715	252	0	242
acaweb_fx.public.relevance_autochartist_results	1	1	548	7,796	0	0	380
acaweb_fx.public.datafeeds_latestrun	4	1	244	78	18	0	64
acaweb_fx.public.relevance_fibonacci_results	1	1	187	1,376	0	0	102
acaweb_fx.pg_catalog.pg_class	1	1	176	1,999	0	0	150
acaweb_fx.pg_toast.pg_toast_2619	1	1	73	171	0	0	49
acaweb_fx.public.latest_t15_candle_view	1	1	57	14	0	0	1
acaweb_fx.public.solr_imports	1	1	51	1	0	0	2
Total	24	21	70,698	96,633	270	0	3,365

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	73
acaweb_fx.public.datafeeds_latestrun	4	1	244
acaweb_fx.public.solr_imports	1	1	51
acaweb_fx.pg_catalog.pg_attribute	1	1	1214
acaweb_fx.public.latest_t15_candle_view	1	1	57
acaweb_fx.pg_catalog.pg_class	1	1	176
acaweb_fx.public.relevance_autochartist_results	1	1	548
acaweb_fx.public.solr_relevance_old	13	13	68148
acaweb_fx.public.relevance_fibonacci_results	1	1	187
Total	24	21	70,698

Autovacuum Activity

Vacuums / Analyzes

Day	Hour	VACUUMs	ANALYZEs
May 04	06	24	35

↑ 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	15m43s	7m51s
	relation	2	15m43s	7m51s
AccessShareLock		10	17m12s	1m43s
	relation	10	17m12s	1m43s
	Total	12	32m55s	2m44s

Most frequent waiting queries (N)

Rank	Count	Total time	Min time	Max time	Avg duration	Query
1	10	17m12s	1m30s	1m55s	1m43s	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 - 3'; Date: 2025-05-04 06:18:59 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1'; Date: 2025-05-04 06:18:59 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 - 1'; Date: 2025-05-04 06:18:59 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
2	1	13m46s	13m46s	13m46s	13m46s	truncate table solr_relevance_old; TRUNCATE TABLE solr_relevance_old; Date: 2025-05-04 06:18:58 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2025-05-04 06:26:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2025-05-04 06:41:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
3	1	1m56s	1m56s	1m56s	1m56s	refresh materialized view latest_candle_datetime_per_receng; refresh materialized view latest_candle_datetime_per_receng; Date: 2025-05-04 06:18:59 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2025-05-04 06:47:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2025-05-04 06:32:03 Database: acaweb_fx User: postgres Remote: [local] Application: psql

Rank

Count

Total time

Min time

Max time

Avg duration

Query

1

10

17m12s

1m30s

1m55s

1m43s

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 - 3';

Date: 2025-05-04 06:18:59 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1';

Date: 2025-05-04 06:18:59 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 - 1';

Date: 2025-05-04 06:18:59 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]

2

1

13m46s

truncate table solr_relevance_old;

TRUNCATE TABLE solr_relevance_old;

Date: 2025-05-04 06:18:58 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2025-05-04 06:26:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2025-05-04 06:41:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql

3

1

1m56s

refresh materialized view latest_candle_datetime_per_receng;

refresh materialized view latest_candle_datetime_per_receng;

Date: 2025-05-04 06:18:59 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2025-05-04 06:47:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2025-05-04 06:32:03 Database: acaweb_fx User: postgres Remote: [local] Application: psql

Queries that waited the most


[ Date: 2025-05-04 06:18:58 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:18:58 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Rank	Wait time	Query
1	13m46s	TRUNCATE TABLE solr_relevance_old; [ Date: 2025-05-04 06:18:58 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	1m56s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2025-05-04 06:18:58 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	1m55s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 3'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
4	1m52s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
5	1m51s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
6	1m48s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
7	1m42s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
8	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
9	1m38s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 2'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
10	1m38s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
11	1m32s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 4'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
12	1m30s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'FPMARKETS - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Queries by type

Key values

51,360 Total read queries
15,144 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	51,360	75.49%
INSERT	11,138	16.37%
UPDATE	733	1.08%
DELETE	13	0.02%
COPY FROM	78	0.11%
COPY TO	600	0.88%
CTE	1,904	2.80%
DDL	13	0.02%
TCL	665	0.98%
CURSOR	0	0.00%
OTHERS	1,533	2.25%

Queries by database

Key values

acaweb_fx Main database
63,113 Requests
2h50m30s (acaweb_fx)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	63,113	2h50m30s
	copy from	78	6s146ms
	copy to	305	13m49s
	cte	1,900	1h58m52s
	ddl	13	13m47s
	delete	13	21ms
	insert	10,862	24s22ms
	others	1,202	2m20s
	select	47,406	20m50s
	tcl	661	202ms
	update	673	20s41ms
acaweb_fx_integer	Total	3,584	19m34s
	copy to	276	19m33s
	cte	1	5ms
	others	285	16ms
	select	3,021	1s92ms
	tcl	1	0ms
postgres	Total	367	211ms
	cte	1	1ms
	others	9	0ms
	select	356	209ms
	tcl	1	0ms
socialmedia	Total	926	4s958ms
	copy to	19	4s19ms
	cte	1	1ms
	insert	276	372ms
	others	28	0ms
	select	541	464ms
	tcl	1	0ms
	update	60	100ms
translations	Total	47	171ms
	cte	1	1ms
	others	9	0ms
	select	36	169ms
	tcl	1	0ms

Queries by user

Key values

postgres Main user
68,037 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	68,037	3h10m11s
	copy from	78	6s146ms
	copy to	600	33m27s
	cte	1,904	1h58m52s
	ddl	13	13m47s
	delete	13	21ms
	insert	11,138	24s394ms
	others	1,533	2m20s
	select	51,360	20m52s
	tcl	665	202ms
	update	733	20s142ms

Duration by user

Key values

3h10m11s (postgres) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	68,037	3h10m11s
	copy from	78	6s146ms
	copy to	600	33m27s
	cte	1,904	1h58m52s
	ddl	13	13m47s
	delete	13	21ms
	insert	11,138	24s394ms
	others	1,533	2m20s
	select	51,360	20m52s
	tcl	665	202ms
	update	733	20s142ms

Queries by host

Key values

192.168.1.20 Main host
21,191 Requests
50m56s (127.0.0.1)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
127.0.0.1	Total	10,820	50m56s
	copy to	600	33m27s
	cte	22	140ms
	insert	991	2s66ms
	others	619	21ms
	select	8,432	17m26s
	tcl	5	0ms
	update	151	329ms
182.165.1.42	Total	126	10m21s
	cte	60	10m21s
	select	66	6ms
192.168.0.236	Total	46	49ms
	cte	7	5ms
	select	39	44ms
192.168.0.239	Total	67	982ms
	select	67	982ms
192.168.0.42	Total	299	273ms
	insert	122	13ms
	select	177	259ms
192.168.1.135	Total	18	28ms
	cte	2	12ms
	select	16	16ms
192.168.1.145	Total	19,021	34m58s
	cte	589	34m36s
	others	188	1ms
	select	18,244	21s396ms
192.168.1.20	Total	21,191	34m57s
	cte	584	34m33s
	others	248	2ms
	select	20,359	23s409ms
192.168.1.201	Total	249	3s156ms
	select	249	3s156ms
192.168.1.23	Total	806	6s740ms
	select	806	6s740ms
192.168.1.239	Total	300	194ms
	others	150	13ms
	select	150	180ms
192.168.1.250	Total	1,989	38m47s
	cte	555	38m45s
	others	94	0ms
	select	1,340	2s172ms
192.168.1.90	Total	6	11ms
	select	6	11ms
192.168.1.97	Total	50	62ms
	cte	7	4ms
	select	43	58ms
192.168.2.126	Total	30	27ms
	others	12	0ms
	select	18	27ms
192.168.2.205	Total	90	13ms
	insert	90	13ms
192.168.2.82	Total	4,984	25s100ms
	insert	4,381	16s676ms
	others	80	9ms
	select	391	7s880ms
	update	132	532ms
192.168.3.199	Total	264	321ms
	others	132	13ms
	select	120	143ms
	update	12	164ms
192.168.4.142	Total	5,768	6s116ms
	insert	5,278	5s252ms
	select	490	863ms
192.168.4.33	Total	635	712ms
	insert	276	372ms
	select	299	239ms
	update	60	100ms
192.168.4.98	Total	996	20s896ms
	others	6	20s47ms
	select	6	32ms
	tcl	660	202ms
	update	324	614ms
[local]	Total	282	19m5s
	copy from	78	6s146ms
	cte	78	34s803ms
	ddl	13	13m47s
	delete	13	21ms
	others	4	1m59s
	select	42	2m19s
	update	54	18s400ms

Queries by application

Key values

PostgreSQL JDBC Driver Main application
43,375 Requests
1h48m54s (PostgreSQL JDBC Driver)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
PostgreSQL JDBC Driver	Total	43,375	1h48m54s
	cte	1,730	1h47m55s
	insert	122	13ms
	others	265	2ms
	select	41,258	58s134ms
[unknown]	Total	16,103	28m40s
	cte	74	10m21s
	insert	11,016	24s381ms
	others	645	20s87ms
	select	3,037	17m32s
	tcl	660	202ms
	update	671	1s724ms
pg_dump	Total	8,172	33m25s
	copy to	574	33m22s
	cte	5	14ms
	others	619	21ms
	select	6,969	2s494ms
	tcl	5	0ms
psql	Total	387	19m11s
	copy from	78	6s146ms
	copy to	26	5s189ms
	cte	95	34s929ms
	ddl	13	13m47s
	delete	13	21ms
	others	4	1m59s
	select	96	2m19s
	update	62	18s417ms

Number of cancelled queries

Key values

0 per second Cancelled query Peak
2025-05-04 06:07:14 Date

Number of cancelled queries (5 minutes period)

NO DATASET

Histogram of query times

Key values

41,068 0-1ms duration

Chart
Table

Range	Count	Percentage
0-1ms	41,068	60.36%
1-5ms	23,181	34.07%
5-10ms	1,275	1.87%
10-25ms	465	0.68%
25-50ms	363	0.53%
50-100ms	260	0.38%
100-500ms	410	0.60%
500-1000ms	131	0.19%
1000-10000ms	563	0.83%
> 10000ms	321	0.47%

Slowest individual queries


[ Date: 2025-05-04 06:18:58 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:08:24 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-05-04 06:31:43 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-05-04 06:14:13 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-05-04 06:21:15 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2025-05-04 06:36:11 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:24:19 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2025-05-04 06:22:41 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2025-05-04 06:11:26 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Rank	Duration	Query
1	13m46s	TRUNCATE TABLE solr_relevance_old; [ Date: 2025-05-04 06:18:58 - 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: 2025-05-04 06:08:24 - 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: 2025-05-04 06:31:43 - 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: 2025-05-04 06:14:13 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
5	2m15s	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: 2025-05-04 06:21:15 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
6	1m57s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
7	1m57s	COPY public.t15_ps (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten) TO stdout; [ Date: 2025-05-04 06:36:11 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
8	1m55s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 3'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
9	1m52s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
10	1m51s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
11	1m48s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
12	1m42s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
13	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
14	1m38s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 2'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
15	1m38s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
16	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: 2025-05-04 06:24:19 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
17	1m32s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 4'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
18	1m30s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'FPMARKETS - 1'; [ Date: 2025-05-04 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
19	1m18s	COPY public.authenticationlog (attemptid, username, password, brokerid, authclass, attemptdatetime, success, fingerprint, accounttype) TO stdout; [ Date: 2025-05-04 06:22:41 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
20	1m13s	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: 2025-05-04 06:11:26 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Time consuming queries


[ User: postgres - Total duration: 54m53s - Times executed: 284 ]
[ User: postgres - Total duration: 45m7s - Times executed: 284 ]
[ User: postgres - Total duration: 17m13s - Times executed: 1215 ]
[ User: postgres - Total duration: 15m14s - Times executed: 247 ]
[ User: postgres - Total duration: 13m47s - Times executed: 13 ]
[ User: postgres - Total duration: 5m36s - Times executed: 2 ]
[ User: postgres - Total duration: 5m30s - Times executed: 2 ]
[ User: postgres - Total duration: 3m3s - Times executed: 2 ]
[ User: postgres - Total duration: 2m23s - Times executed: 2 ]
[ User: postgres - Total duration: 1m59s - Times executed: 4 ]
[ User: postgres - Total duration: 1m57s - Times executed: 2 ]
[ User: postgres - Total duration: 1m54s - Times executed: 2 ]
[ User: postgres - Total duration: 1m51s - Times executed: 2 ]
[ User: postgres - Total duration: 1m42s - Times executed: 164 ]
[ User: postgres - Total duration: 1m35s - Times executed: 4 ]
[ User: postgres - Total duration: 1m33s - Times executed: 2 ]
[ User: postgres - Total duration: 1m22s - Times executed: 2 ]
[ User: postgres - Total duration: 1m21s - Times executed: 2 ]
[ User: postgres - Total duration: 1m - Times executed: 2 ]
[ User: postgres - Total duration: 58s248ms - Times executed: 105 ]

Most frequent queries (N)


[ User: postgres - Total duration: 60ms - Times executed: 15792 ]
[ User: postgres - Total duration: 14s272ms - Times executed: 12658 ]
[ User: postgres - Total duration: 28s703ms - Times executed: 11739 ]
[ User: postgres - Total duration: 3s439ms - Times executed: 1842 ]
[ User: postgres - Total duration: 29ms - Times executed: 1623 ]
[ User: postgres - Total duration: 665ms - Times executed: 1446 ]
[ User: postgres - Total duration: 418ms - Times executed: 1414 ]
[ User: postgres - Total duration: 17m13s - Times executed: 1215 ]
[ User: postgres - Total duration: 107ms - Times executed: 921 ]
[ User: postgres - Total duration: 217ms - Times executed: 730 ]
[ User: postgres - Total duration: 3s129ms - Times executed: 677 ]
[ User: postgres - Total duration: 1s106ms - Times executed: 669 ]
[ User: postgres - Total duration: 103ms - Times executed: 639 ]
[ User: postgres - Total duration: 42ms - Times executed: 574 ]
[ User: postgres - Total duration: 252ms - Times executed: 510 ]
[ User: postgres - Total duration: 416ms - Times executed: 494 ]
[ User: postgres - Total duration: 11ms - Times executed: 335 ]
[ User: postgres - Total duration: 631ms - Times executed: 332 ]
[ User: postgres - Total duration: 191ms - Times executed: 330 ]
[ User: postgres - Total duration: 1s652ms - Times executed: 290 ]

Normalized slowest queries (N)


[ User: postgres - Total duration: 5m36s - Times executed: 2 ]
[ User: postgres - Total duration: 5m30s - Times executed: 2 ]
[ User: postgres - Total duration: 3m3s - Times executed: 2 ]
[ User: postgres - Total duration: 2m23s - Times executed: 2 ]
[ User: postgres - Total duration: 13m47s - Times executed: 13 ]
[ User: postgres - Total duration: 1m57s - Times executed: 2 ]
[ User: postgres - Total duration: 1m54s - Times executed: 2 ]
[ User: postgres - Total duration: 1m51s - Times executed: 2 ]
[ User: postgres - Total duration: 1m33s - Times executed: 2 ]
[ User: postgres - Total duration: 1m22s - Times executed: 2 ]
[ User: postgres - Total duration: 1m21s - Times executed: 2 ]
[ User: postgres - Total duration: 1m - Times executed: 2 ]
[ User: postgres - Total duration: 1m59s - Times executed: 4 ]
[ User: postgres - Total duration: 1m35s - Times executed: 4 ]
[ User: postgres - Total duration: 54m53s - Times executed: 284 ]
[ User: postgres - Total duration: 45m7s - Times executed: 284 ]
[ User: postgres - Total duration: 15m14s - Times executed: 247 ]
[ User: postgres - Total duration: 17m13s - Times executed: 1215 ]
[ User: postgres - Total duration: 1m42s - Times executed: 164 ]
[ User: postgres - Total duration: 58s248ms - Times executed: 105 ]

Time consuming prepare


[ User: postgres - Total duration: 1h16m10s - Times executed: 1206 ]
[ User: postgres - Total duration: 3s80ms - Times executed: 1363 ]
[ User: postgres - Total duration: 4s619ms - Times executed: 1099 ]
[ User: postgres - Total duration: 405ms - Times executed: 196 ]
[ User: postgres - Total duration: 413ms - Times executed: 1388 ]
[ User: postgres - Total duration: 653ms - Times executed: 1438 ]
[ User: postgres - Total duration: 661ms - Times executed: 288 ]
[ User: postgres - Total duration: 29ms - Times executed: 18 ]
[ User: postgres - Total duration: 10s460ms - Times executed: 23 ]
[ User: postgres - Total duration: 68ms - Times executed: 288 ]
[ User: postgres - Total duration: 2ms - Times executed: 277 ]
[ User: postgres - Total duration: 3ms - Times executed: 618 ]
[ User: postgres - Total duration: 9ms - Times executed: 6 ]
[ User: postgres - Total duration: 27ms - Times executed: 6 ]
[ User: postgres - Total duration: 13ms - Times executed: 90 ]
[ User: postgres - Total duration: 0ms - Times executed: 2 ]
[ User: postgres - Total duration: 2ms - Times executed: 265 ]
[ User: postgres - Total duration: 541ms - Times executed: 7 ]
[ User: postgres - Total duration: 77ms - Times executed: 6 ]
[ User: postgres - Total duration: 2ms - Times executed: 1 ]

Time consuming bind


[ User: postgres - Total duration: 1h57m4s - Times executed: 1665 ]
[ User: postgres - Total duration: 46s868ms - Times executed: 25290 ]
[ User: postgres - Total duration: 57s816ms - Times executed: 104 ]
[ User: postgres - Total duration: 161ms - Times executed: 33 ]
[ User: postgres - Total duration: 405ms - Times executed: 196 ]
[ User: postgres - Total duration: 3s439ms - Times executed: 1842 ]
[ User: postgres - Total duration: 54ms - Times executed: 15724 ]
[ User: postgres - Total duration: 418ms - Times executed: 1414 ]
[ User: postgres - Total duration: 665ms - Times executed: 1446 ]
[ User: postgres - Total duration: 661ms - Times executed: 288 ]
[ User: postgres - Total duration: 68ms - Times executed: 288 ]
[ User: postgres - Total duration: 541ms - Times executed: 7 ]
[ User: postgres - Total duration: 29ms - Times executed: 18 ]
[ User: postgres - Total duration: 13ms - Times executed: 133 ]
[ User: postgres - Total duration: 6ms - Times executed: 144 ]
[ User: postgres - Total duration: 5s313ms - Times executed: 36 ]
[ User: postgres - Total duration: 455ms - Times executed: 204 ]
[ User: postgres - Total duration: 9ms - Times executed: 6 ]
[ User: postgres - Total duration: 1s228ms - Times executed: 78 ]
[ User: postgres - Total duration: 13ms - Times executed: 90 ]

Log levels

Key values

200,808 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	184	0.09%
DETAIL	66,949	33.34%
ERROR	13	0.01%
LOG	133,421	66.44%
STATEMENT	241	0.12%

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
May 04	06	15

LOG: process 11014 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.060 ms at character 28
LOG: process 9196 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.059 ms at character 28
LOG: process 9204 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.056 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
May 04	06	3

LOG: process 31522 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 1000.049 ms
LOG: process 31522 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 651360.467 ms
LOG: process 2479 still waiting for AccessExclusiveLock on relation 5894441 of database 5881926 after 1000.058 ms

3

1

Details

ERROR: relation "..." does not exist

Times Reported Most Frequent Error / Event #3

Day	Hour	Count
May 04	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

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Prepared queries ratio

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General Activity

Connections

Established Connections

Key values

Connections per database

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Connections per user

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Connections per host

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Sessions

Simultaneous sessions

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Histogram of session times

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Sessions per database

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Sessions per user

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Sessions per host

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Sessions per application

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Checkpoints / Restartpoints

Checkpoints Buffers

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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

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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