pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Sun Jun 30 04:59:24 2024
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2024-06-30_060000.log
Parsed 383,210 log entries in 22s
Log start from 2024-06-30 06:00:00 to 2024-06-30 06:59:21

Global Stats

2,965 Number of unique normalized queries
38,996 Number of queries
2h5m27s Total query duration
2024-06-30 06:00:00 First query
2024-06-30 06:59:21 Last query
3,568 queries/s at 2024-06-30 06:05:02 Query peak

2h5m27s Total query duration
16s574ms Prepare/parse total duration
15s456ms Bind total duration
2h4m55s Execute total duration

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

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

304 Number temporary file
52.72 MiB Max size of temporary file
2.28 MiB Average size of temporary file

1,957 Total number of sessions
13 sessions at 2024-06-30 06:53:01 Session peak
4d7h36m12s Total duration of sessions
3m10s Average duration of sessions
19 Average queries per session
3s846ms Average queries duration per session
3m6s Average idle time per session

1,957 Total number of connections
26 connections/s at 2024-06-30 06:13:48 Connection peak
4 Total number of databases

SQL Traffic

Key values

3,568 queries/s Query Peak
2024-06-30 06:05:02 Date

SELECT Traffic

Key values

3,256 queries/s Query Peak
2024-06-30 06:05:02 Date

INSERT/UPDATE/DELETE Traffic

Key values

252 queries/s Query Peak
2024-06-30 06:32:02 Date

Queries duration

Key values

2h5m27s 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)
Jun 30	06	38,996	0ms	12m40s	192ms	3m33s	4m19s	21m4s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Jun 30	06	21,631	581	102ms	1m7s	2m15s	3m44s

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Jun 30	06	12,502	762	14	84	2ms	373ms	487ms	1s749ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
Jun 30	06	6,298	19,116	3.04	16.62%

Day	Hour	Count	Average / Second
Jun 30	06	1,957	0.54/s

Day	Hour	Count	Average Duration	Average idle time
Jun 30	06	1,957	3m10s	3m6s

↑ Back to the top of the General Activity table

Established Connections

Key values

26 connections Connection Peak
2024-06-30 06:13:48 Date

Connections per database

Key values

acaweb_fx Main Database
1,957 connections Total

Chart
Table

Database	User	Count
acaweb_fx		1,952
	pg_dump	1
	postgres	1,605
	psql	346
acaweb_fx_integer		1
	pg_dump	1
postgres		3
	pg_dump	1
	psql	2
translations		1
	pg_dump	1

Connections per user

Key values

postgres Main User
1,957 connections Total

Chart
Table

User	Count
pg_dump	4
postgres	1,605
psql	348

Connections per host

Key values

192.168.4.142 Main host with 1035 connections
1,957 Total connections

Chart
Table

Host	Count
127.0.0.1	130
192.168.1.20	20
192.168.1.239	52
192.168.1.250	47
192.168.1.90	6
192.168.2.126	18
192.168.2.82	40
192.168.3.199	64
192.168.4.142	1,035
192.168.4.98	306
[local]	239

Simultaneous sessions

Key values

13 sessions Session Peak
2024-06-30 06:53:01 Date

Histogram of session times

Key values

1,651 0-500ms duration

Chart
Table

Range	Count	Percentage
0ms-500ms	1,651	84.36%
500ms-1s	146	7.46%
1s-30s	89	4.55%
30s-1m	3	0.15%
1m-10m	15	0.77%
10m-30m	44	2.25%
30m-1h	4	0.20%
1h-8h	1	0.05%
> 8h	4	0.20%

Sessions per database

Key values

acaweb_fx Main Database
1,957 sessions Total

Chart
Table

Database	User	Count	Total Duration
acaweb_fx	1,952	4d7h17m15s	3m10s
acaweb_fx_integer	1	18m56s	18m56s
postgres	3	212ms	70ms
translations	1	145ms	145ms

Sessions per user

Key values

postgres Main User
1,957 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
1,957 sessions Total

Chart
Table

Host	Count	Total Duration	Average Duration
127.0.0.1	130	3d6h16m26s	36m7s
192.168.1.20	20	9h52m49s	29m38s
192.168.1.239	52	391ms	7ms
192.168.1.250	47	13h12m59s	16m52s
192.168.1.90	6	43ms	7ms
192.168.2.126	18	5s493ms	305ms
192.168.2.82	40	1h45m11s	2m37s
192.168.3.199	64	41s303ms	645ms
192.168.4.142	1,035	11m56s	692ms
192.168.4.98	306	17s59ms	55ms
[local]	239	15m44s	3s950ms

Sessions per application

Key values

[unknown] Main Host
1,957 sessions Total

Chart
Table

Application	Count	Total Duration	Average Duration
PostgreSQL JDBC Driver	67	23h5m48s	20m41s
[unknown]	1,538	3d7h42m47s	3m6s
pg_dump	4	31m48s	7m57s
psql	348	15m48s	2s725ms

Checkpoints Buffers

Key values

2,546 buffers Checkpoint Peak
2024-06-30 06:08:50 Date
209.194 seconds Highest write time
0.024 seconds Sync time

Checkpoints Wal files

Key values

1 files Wal files usage Peak
2024-06-30 06:37:35 Date

Checkpoints distance

Key values

42.08 Mo Distance Peak
2024-06-30 06:22:59 Date

Checkpoints Activity

Day	Hour	Written buffers	Write time	Sync time	Total time
Jun 30	06	14,552	1,542.953s	0.068s	1,543.174s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
Jun 30	06	0	0	10	1,562	0.007s	0s

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

Day	Hour	Mean distance	Mean estimate
Jun 30	06	12,360.58 kB	19,420.08 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

33.66 MiB Temp Files size Peak
2024-06-30 06:17:19 Date

Number of temporary files

Key values

31 per second Temp Files Peak
2024-06-30 06:17:19 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
Jun 30	06	304	694.61 MiB	2.28 MiB

↑ Back to the top of the Temporary Files Activity table

Queries generating the most temporary files (N)


Date: 2024-06-30 06:00:22
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.250
Application: PostgreSQL JDBC Driver
Date: 2024-06-30 06:31:13
Duration: 1s905ms
Database: acaweb_fx
User: postgres
Remote: [local]
Application: psql
Date: 2024-06-30 06:31:17
Duration: 3s290ms
Database: acaweb_fx
User: postgres
Remote: [local]
Application: psql
Date: 2024-06-30 06:32:25
Duration: 22s858ms
Database: acaweb_fx
User: postgres
Remote: [local]
Application: psql
Date: 2024-06-30 06:02:47
Duration: 519ms
Database: acaweb_fx
User: postgres
Remote: 127.0.0.1
Application: [unknown]

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	91	322.41 MiB	3.26 MiB	3.82 MiB	3.54 MiB	with rar_max as ( ; WITH rar_max as ( ; Date: 2024-06-30 06:00:22 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver
2	14	47.69 MiB	3.41 MiB	3.41 MiB	3.41 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: 2024-06-30 06:31:13 Duration: 1s905ms 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: 2024-06-30 06:17:54 Duration: 1s727ms 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: 2024-06-30 06:26:13 Duration: 1s691ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
3	14	111.23 MiB	7.95 MiB	7.95 MiB	7.95 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: 2024-06-30 06:31:17 Duration: 3s290ms 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: 2024-06-30 06:26:16 Duration: 2s242ms 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: 2024-06-30 06:33:16 Duration: 2s93ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
4	4	210.80 MiB	52.69 MiB	52.72 MiB	52.70 MiB	select updateageforrelevantresults (); select updateageforrelevantresults (); Date: 2024-06-30 06:32:25 Duration: 22s858ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2024-06-30 06:47:25 Duration: 22s695ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2024-06-30 06:17:21 Duration: 18s138ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
5	1	2.48 MiB	2.48 MiB	2.48 MiB	2.48 MiB	with a as ( select , row_number() over (partition by symbolid, direction order by datetime desc) r from sa_hist_consecutivecandles ) select distinct a.symbolid, a.qty, a.percentile, a.direction from a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid where aus.enabled = ? and a.r = ? and aus.recognitionengine ilike ?; WITH a AS ( SELECT , row_number() OVER (PARTITION BY symbolid, direction ORDER BY datetime DESC) r FROM sa_hist_consecutivecandles ) SELECT DISTINCT a.symbolid, a.qty, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'IQFEED_FX - 1'; Date: 2024-06-30 06:02:47 Duration: 519ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] WITH a AS ( SELECT , row_number() OVER (PARTITION BY symbolid, direction ORDER BY datetime DESC) r FROM sa_hist_consecutivecandles ) SELECT DISTINCT a.symbolid, a.qty, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'IQFEED_FX - 1'; Date:* 2024-06-30 06:02:47 Duration: 0ms Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]

Queries generating the largest temporary files


[ Date: 2024-06-30 06:17:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:47:21 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:02:04 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:32:21 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:01:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:03:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:17:56 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:18:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:20:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:26:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:31:17 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:33:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:35:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:41:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:46:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:48:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:50:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:56:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:06:18 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.20 - Application: PostgreSQL JDBC Driver ]
[ Date: 2024-06-30 06:06:40 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver ]

Rank	Size	Query
1	52.72 MiB	select updateageforrelevantresults (); [ Date: 2024-06-30 06:17:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	52.70 MiB	select updateageforrelevantresults (); [ Date: 2024-06-30 06:47:21 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	52.69 MiB	select updateageforrelevantresults (); [ Date: 2024-06-30 06:02:04 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
4	52.69 MiB	select updateageforrelevantresults (); [ Date: 2024-06-30 06:32:21 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
5	7.95 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: 2024-06-30 06:01:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
6	7.95 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: 2024-06-30 06:03:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
7	7.95 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: 2024-06-30 06:17:56 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
8	7.95 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: 2024-06-30 06:18:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
9	7.95 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: 2024-06-30 06:20:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
10	7.95 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: 2024-06-30 06:26:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
11	7.95 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: 2024-06-30 06:31:17 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
12	7.95 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: 2024-06-30 06:33:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
13	7.95 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: 2024-06-30 06:35:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
14	7.95 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: 2024-06-30 06:41:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
15	7.95 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: 2024-06-30 06:46:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
16	7.95 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: 2024-06-30 06:48:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
17	7.95 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: 2024-06-30 06:50:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
18	7.95 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: 2024-06-30 06:56:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
19	3.82 MiB	WITH rar_max as ( ; [ Date: 2024-06-30 06:06:18 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.20 - Application: PostgreSQL JDBC Driver ]
20	3.82 MiB	WITH rar_max as ( ; [ Date: 2024-06-30 06:06:40 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.250 - Application: PostgreSQL JDBC Driver ]

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 (14) Main table analyzed (database acaweb_fx)
37 analyzes Total

Chart
Table

Table	Number of analyzes
acaweb_fx.public.solr_relevance_old	14
acaweb_fx.public.datafeeds_latestrun	4
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.autochartist_symbolupdates	1
acaweb_fx.public.solr_imports	1
acaweb_fx.public.relevance_bigmovement_results	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	37

Vacuums per table

Key values

public.solr_relevance_old (14) Main table vacuumed on database acaweb_fx
25 vacuums Total

Chart
Table

		Index	Buffer usage			Skipped		WAL usage
Table	Vacuums	scans	hits	misses	dirtied	pins	frozen	records	full page	bytes
acaweb_fx.public.solr_relevance_old	14	14	10,026	0	46	0	0	7,449	706	3,918,030
acaweb_fx.public.datafeeds_latestrun	3	0	338	0	25	0	0	56	22	53,330
acaweb_fx.pg_toast.pg_toast_2619	1	1	118	0	63	0	0	116	33	116,385
acaweb_fx.pg_catalog.pg_index	1	1	88	0	12	0	0	27	11	80,295
acaweb_fx.pg_catalog.pg_type	1	1	114	0	16	0	0	49	14	94,168
acaweb_fx.pg_catalog.pg_attribute	1	1	720	0	162	0	64	358	135	818,262
acaweb_fx.pg_catalog.pg_statistic	1	1	785	0	188	0	658	493	164	745,664
acaweb_fx.public.solr_imports	1	1	43	0	3	0	0	6	2	14,479
acaweb_fx.public.latest_t15_candle_view	1	1	91	0	4	0	0	5	1	8,075
acaweb_fx.pg_catalog.pg_class	1	1	365	0	33	0	41	142	33	185,730
Total	25	22	12,688	1,169	552	0	763	8,701	1,121	6,034,418

Tuples removed per table

Key values

public.solr_relevance_old (62434) Main table with removed tuples on database acaweb_fx
65151 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	14	62,434	74,010	0	0	2,350
acaweb_fx.pg_catalog.pg_attribute	1	1	1,286	9,464	0	0	237
acaweb_fx.pg_catalog.pg_statistic	1	1	759	4,328	0	0	1,194
acaweb_fx.public.datafeeds_latestrun	3	0	186	43	4	0	48
acaweb_fx.pg_catalog.pg_class	1	1	163	1,938	0	0	150
acaweb_fx.pg_catalog.pg_type	1	1	124	1,329	0	0	37
acaweb_fx.pg_toast.pg_toast_2619	1	1	90	170	1	0	64
acaweb_fx.public.solr_imports	1	1	51	1	0	0	2
acaweb_fx.public.latest_t15_candle_view	1	1	43	29	16	0	1
acaweb_fx.pg_catalog.pg_index	1	1	15	812	0	0	22
Total	25	22	65,151	92,124	21	0	4,105

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	90
acaweb_fx.pg_catalog.pg_index	1	1	15
acaweb_fx.pg_catalog.pg_type	1	1	124
acaweb_fx.public.datafeeds_latestrun	3	0	186
acaweb_fx.pg_catalog.pg_attribute	1	1	1286
acaweb_fx.pg_catalog.pg_statistic	1	1	759
acaweb_fx.public.solr_imports	1	1	51
acaweb_fx.public.latest_t15_candle_view	1	1	43
acaweb_fx.public.solr_relevance_old	14	14	62434
acaweb_fx.pg_catalog.pg_class	1	1	163
Total	25	22	65,151

Autovacuum Activity

Vacuums / Analyzes

Day	Hour	VACUUMs	ANALYZEs
Jun 30	06	25	37

↑ Back to the top of the Autovacuum Activity table

Locks by types

Key values

AccessShareLock Main Lock Type
10 locks Total

Chart
Table

Type	Object	Count	Total Duration	Average Duration (s)
AccessExclusiveLock		2	13m31s	6m45s
	relation	2	13m31s	6m45s
AccessShareLock		8	4m43s	35s449ms
	relation	8	4m43s	35s449ms
	Total	10	18m15s	1m49s

Most frequent waiting queries (N)

Rank	Count	Total time	Min time	Max time	Avg duration	Query
1	1	12m40s	12m40s	12m40s	12m40s	truncate table solr_relevance_old; TRUNCATE TABLE solr_relevance_old; Date: 2024-06-30 06:17:52 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2024-06-30 06:26:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2024-06-30 06:31:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
2	7	4m28s	28s157ms	47s376ms	38s351ms	select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?; SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'FPMARKETS - 1'; Date: 2024-06-30 06:17:53 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; Date: 2024-06-30 06:17:53 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GO_MARKETS - 1'; Date: 2024-06-30 06:17:53 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
3	1	50s748ms	50s748ms	50s748ms	50s748ms	refresh materialized view latest_candle_datetime_per_receng; refresh materialized view latest_candle_datetime_per_receng; Date: 2024-06-30 06:17:53 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2024-06-30 06:32:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2024-06-30 06:47:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql
4	1	15s129ms	15s129ms	15s129ms	15s129ms	select recognitionengine, to_char(datetimeupdate, ?) from latest_candle_datetime_per_receng; select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng; Date: 2024-06-30 06:11:10 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: PostgreSQL JDBC Driver Bind query: yes select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng; Date: 2024-06-30 06:16:11 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: PostgreSQL JDBC Driver Bind query: yes select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng; Date: 2024-06-30 06:21:12 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: PostgreSQL JDBC Driver Bind query: yes

Queries that waited the most


[ Date: 2024-06-30 06:17:52 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:17:52 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: PostgreSQL JDBC Driver ]

Rank	Wait time	Query
1	12m40s	TRUNCATE TABLE solr_relevance_old; [ Date: 2024-06-30 06:17:52 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	50s748ms	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2024-06-30 06:17:52 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	47s376ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'FPMARKETS - 1'; [ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
4	44s194ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; [ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
5	42s179ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GO_MARKETS - 1'; [ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
6	39s204ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; [ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
7	35s171ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1'; [ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
8	32s178ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1'; [ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
9	28s157ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
10	15s129ms	select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng; [ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: PostgreSQL JDBC Driver ]

Queries by type

Key values

21,631 Total read queries
16,258 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	21,631	55.47%
INSERT	12,502	32.06%
UPDATE	762	1.95%
DELETE	14	0.04%
COPY FROM	84	0.22%
COPY TO	581	1.49%
CTE	1,685	4.32%
DDL	14	0.04%
TCL	616	1.58%
CURSOR	0	0.00%
OTHERS	1,107	2.84%

Queries by database

Key values

acaweb_fx Main database
34,998 Requests
1h46m12s (acaweb_fx)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	34,998	1h46m12s
	copy from	84	5s406ms
	copy to	305	12m43s
	cte	1,682	1h12m35s
	ddl	14	12m41s
	delete	14	18ms
	insert	12,502	18s608ms
	others	804	1m5s
	select	18,218	6m31s
	tcl	613	120ms
	update	762	12s746ms
acaweb_fx_integer	Total	3,584	18m42s
	copy to	276	18m41s
	cte	1	4ms
	others	285	13ms
	select	3,021	963ms
	tcl	1	0ms
postgres	Total	367	190ms
	cte	1	1ms
	others	9	0ms
	select	356	189ms
	tcl	1	0ms
translations	Total	47	138ms
	cte	1	2ms
	others	9	0ms
	select	36	136ms
	tcl	1	0ms

Queries by user

Key values

postgres Main user
38,996 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	38,996	2h4m55s
	copy from	84	5s406ms
	copy to	581	31m24s
	cte	1,685	1h12m35s
	ddl	14	12m41s
	delete	14	18ms
	insert	12,502	18s608ms
	others	1,107	1m5s
	select	21,631	6m32s
	tcl	616	120ms
	update	762	12s746ms

Duration by user

Key values

2h4m55s (postgres) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	38,996	2h4m55s
	copy from	84	5s406ms
	copy to	581	31m24s
	cte	1,685	1h12m35s
	ddl	14	12m41s
	delete	14	18ms
	insert	12,502	18s608ms
	others	1,107	1m5s
	select	21,631	6m32s
	tcl	616	120ms
	update	762	12s746ms

Queries by host

Key values

127.0.0.1 Main host
13,566 Requests
36m12s (127.0.0.1)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
127.0.0.1	Total	13,566	36m12s
	copy to	580	31m24s
	cte	24	660ms
	insert	3,182	2s487ms
	others	638	18ms
	select	8,862	4m43s
	tcl	4	0ms
	update	276	525ms
192.168.0.239	Total	50	212ms
	select	50	212ms
192.168.0.42	Total	120	826ms
	insert	1	7ms
	select	119	819ms
192.168.1.135	Total	4	6ms
	cte	1	5ms
	select	3	1ms
192.168.1.145	Total	5,036	21m49s
	cte	376	21m46s
	select	4,660	3s707ms
192.168.1.20	Total	3,964	22m3s
	cte	378	22m1s
	others	40	0ms
	select	3,546	2s565ms
192.168.1.201	Total	244	1s24ms
	select	244	1s24ms
192.168.1.23	Total	729	2s372ms
	select	729	2s372ms
192.168.1.239	Total	209	102ms
	copy to	1	7ms
	others	105	7ms
	select	103	87ms
192.168.1.250	Total	3,145	28m29s
	cte	822	28m26s
	others	94	0ms
	select	2,229	2s649ms
192.168.1.90	Total	6	7ms
	select	6	7ms
192.168.2.126	Total	30	21ms
	others	12	0ms
	select	18	21ms
192.168.2.205	Total	89	10ms
	insert	89	10ms
192.168.2.82	Total	4,695	14s871ms
	insert	4,120	12s578ms
	others	80	7ms
	select	377	1s894ms
	update	118	391ms
192.168.3.199	Total	256	254ms
	others	128	10ms
	select	116	99ms
	update	12	144ms
192.168.4.142	Total	5,634	4s151ms
	insert	5,110	3s525ms
	select	524	626ms
192.168.4.98	Total	924	13s703ms
	others	6	13s98ms
	select	6	22ms
	tcl	612	120ms
	update	300	461ms
[local]	Total	295	15m43s
	copy from	84	5s406ms
	cte	84	20s647ms
	ddl	14	12m41s
	delete	14	18ms
	others	4	52s274ms
	select	39	1m33s
	update	56	11s224ms

Queries by application

Key values

[unknown] Main application
17,459 Requests
1h12m27s (PostgreSQL JDBC Driver)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
PostgreSQL JDBC Driver	Total	13,277	1h12m27s
	cte	1,577	1h12m13s
	insert	1	7ms
	others	80	0ms
	select	11,619	13s417ms
[unknown]	Total	17,459	5m17s
	copy to	1	7ms
	cte	2	544ms
	insert	12,501	18s601ms
	others	433	13s126ms
	select	3,215	4m43s
	tcl	612	120ms
	update	695	1s504ms
pg_dump	Total	7,856	31m23s
	copy to	554	31m21s
	cte	4	12ms
	others	590	17ms
	select	6,704	2s51ms
	tcl	4	0ms
psql	Total	404	15m47s
	copy from	84	5s406ms
	copy to	26	3s814ms
	cte	102	20s752ms
	ddl	14	12m41s
	delete	14	18ms
	others	4	52s274ms
	select	93	1m33s
	update	67	11s242ms

Number of cancelled queries

Key values

0 per second Cancelled query Peak
2024-06-30 06:37:16 Date

Number of cancelled queries (5 minutes period)

NO DATASET

Histogram of query times

Key values

26,988 0-1ms duration

Chart
Table

Range	Count	Percentage
0-1ms	26,988	69.21%
1-5ms	9,367	24.02%
5-10ms	554	1.42%
10-25ms	377	0.97%
25-50ms	252	0.65%
50-100ms	193	0.49%
100-500ms	351	0.90%
500-1000ms	108	0.28%
1000-10000ms	639	1.64%
> 10000ms	167	0.43%

Slowest individual queries


[ Date: 2024-06-30 06:17:52 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:08:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:13:41 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:30:03 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:20:03 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:34:18 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:23:03 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:21:25 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:27:19 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:26:11 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:10:57 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:16:39 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:35:52 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:14:35 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-06-30 06:32:27 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:15:38 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:30:54 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2024-06-30 06:24:12 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Rank	Duration	Query
1	12m40s	TRUNCATE TABLE solr_relevance_old; [ Date: 2024-06-30 06:17:52 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	3m9s	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: 2024-06-30 06:08:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
3	2m39s	COPY public.researchreports (researchreportid, type, createddatetime, language, filename, xml) TO stdout; [ Date: 2024-06-30 06:13:41 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
4	2m39s	COPY public.researchreports (researchreportid, type, createddatetime, language, filename, xml) TO stdout; [ Date: 2024-06-30 06:30:03 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
5	2m9s	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: 2024-06-30 06:20:03 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
6	1m50s	COPY public.t15_ps (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten) TO stdout; [ Date: 2024-06-30 06:34:18 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
7	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: 2024-06-30 06:23:03 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
8	1m14s	COPY public.authenticationlog (attemptid, username, password, brokerid, authclass, attemptdatetime, success, fingerprint, accounttype) TO stdout; [ Date: 2024-06-30 06:21:25 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
9	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: 2024-06-30 06:27:19 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
10	1m7s	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: 2024-06-30 06:26:11 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
11	1m7s	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: 2024-06-30 06:10:57 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
12	1m	COPY public.t15_ps (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten) TO stdout; [ Date: 2024-06-30 06:16:39 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
13	57s863ms	COPY public.t30_ps (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten) TO stdout; [ Date: 2024-06-30 06:35:52 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
14	51s787ms	COPY public.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: 2024-06-30 06:14:35 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
15	51s207ms	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
16	50s816ms	COPY public.t15_hve (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived, pricesadjusted, relevanceprocessed, recengprocessedadjusted) TO stdout; [ Date: 2024-06-30 06:32:27 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
17	49s84ms	COPY public.t15_hve (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived, pricesadjusted, relevanceprocessed, recengprocessedadjusted) TO stdout; [ Date: 2024-06-30 06:15:38 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
18	48s393ms	COPY public.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: 2024-06-30 06:30:54 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
19	47s376ms	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'FPMARKETS - 1'; [ Date: 2024-06-30 06:17:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
20	46s650ms	COPY public.keylevels_results (bandwidth, patternid, gmttimefound, approachingtimestamp, isrelevant, qtytp, patternlengthbars, symbolid, resultuid, patternprice, breakout, x0, x1, x2, x3, x4, x5, x6, x7, x8, x9, breakoutbars, breakoutprice, atbaridentified, atpriceidentified, approachingregion, errormargin, direction, predictionpricefrom, predictionpriceto, predictiontimefrom, predictiontimebars, uniquepointsvalue, furthestprice, patternendtime, relevancestartdistance, simulation, patternclassid, patternstarttime, stoplosslevel, writtendatetime, old_resultuid) TO stdout; [ Date: 2024-06-30 06:24:12 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Time consuming queries


[ User: postgres - Total duration: 32m9s - Times executed: 233 ]
[ User: postgres - Total duration: 27m33s - Times executed: 233 ]
[ User: postgres - Total duration: 12m41s - Times executed: 14 ]
[ User: postgres - Total duration: 10m4s - Times executed: 233 ]
[ User: postgres - Total duration: 5m19s - Times executed: 2 ]
[ User: postgres - Total duration: 5m19s - Times executed: 2 ]
[ User: postgres - Total duration: 4m28s - Times executed: 879 ]
[ User: postgres - Total duration: 2m50s - Times executed: 2 ]
[ User: postgres - Total duration: 2m16s - Times executed: 2 ]
[ User: postgres - Total duration: 1m53s - Times executed: 2 ]
[ User: postgres - Total duration: 1m40s - Times executed: 2 ]
[ User: postgres - Total duration: 1m39s - Times executed: 2 ]
[ User: postgres - Total duration: 1m29s - Times executed: 185 ]
[ User: postgres - Total duration: 1m29s - Times executed: 2 ]
[ User: postgres - Total duration: 1m26s - Times executed: 2 ]
[ User: postgres - Total duration: 1m15s - Times executed: 2 ]
[ User: postgres - Total duration: 1m9s - Times executed: 4 ]
[ User: postgres - Total duration: 52s274ms - Times executed: 4 ]
[ User: postgres - Total duration: 48s976ms - Times executed: 2 ]
[ User: postgres - Total duration: 46s650ms - Times executed: 1 ]

Most frequent queries (N)


[ User: postgres - Total duration: 22ms - Times executed: 5355 ]
[ User: postgres - Total duration: 2s488ms - Times executed: 2828 ]
[ User: postgres - Total duration: 4s146ms - Times executed: 2426 ]
[ User: postgres - Total duration: 2s144ms - Times executed: 1847 ]
[ User: postgres - Total duration: 24ms - Times executed: 1617 ]
[ User: postgres - Total duration: 967ms - Times executed: 1554 ]
[ User: postgres - Total duration: 584ms - Times executed: 1367 ]
[ User: postgres - Total duration: 283ms - Times executed: 1320 ]
[ User: postgres - Total duration: 1s196ms - Times executed: 1164 ]
[ User: postgres - Total duration: 4m28s - Times executed: 879 ]
[ User: postgres - Total duration: 99ms - Times executed: 873 ]
[ User: postgres - Total duration: 205ms - Times executed: 698 ]
[ User: postgres - Total duration: 77ms - Times executed: 635 ]
[ User: postgres - Total duration: 2s585ms - Times executed: 575 ]
[ User: postgres - Total duration: 36ms - Times executed: 554 ]
[ User: postgres - Total duration: 250ms - Times executed: 510 ]
[ User: postgres - Total duration: 374ms - Times executed: 475 ]
[ User: postgres - Total duration: 253ms - Times executed: 421 ]
[ User: postgres - Total duration: 9ms - Times executed: 310 ]
[ User: postgres - Total duration: 475ms - Times executed: 308 ]

Normalized slowest queries (N)


[ User: postgres - Total duration: 5m19s - Times executed: 2 ]
[ User: postgres - Total duration: 5m19s - Times executed: 2 ]
[ User: postgres - Total duration: 2m50s - Times executed: 2 ]
[ User: postgres - Total duration: 2m16s - Times executed: 2 ]
[ User: postgres - Total duration: 1m53s - Times executed: 2 ]
[ User: postgres - Total duration: 12m41s - Times executed: 14 ]
[ User: postgres - Total duration: 1m40s - Times executed: 2 ]
[ User: postgres - Total duration: 1m39s - Times executed: 2 ]
[ User: postgres - Total duration: 46s650ms - Times executed: 1 ]
[ User: postgres - Total duration: 1m29s - Times executed: 2 ]
[ User: postgres - Total duration: 1m26s - Times executed: 2 ]
[ User: postgres - Total duration: 1m15s - Times executed: 2 ]
[ User: postgres - Total duration: 48s976ms - Times executed: 2 ]
[ User: postgres - Total duration: 1m9s - Times executed: 4 ]
[ User: postgres - Total duration: 52s274ms - Times executed: 4 ]
[ User: postgres - Total duration: 32m9s - Times executed: 233 ]
[ User: postgres - Total duration: 27m33s - Times executed: 233 ]
[ User: postgres - Total duration: 10m4s - Times executed: 233 ]
[ User: postgres - Total duration: 1m29s - Times executed: 185 ]
[ User: postgres - Total duration: 4m28s - Times executed: 879 ]

Time consuming prepare


[ User: postgres - Total duration: 0ms - Times executed: 13 ]
[ User: postgres - Total duration: 2s102ms - Times executed: 1707 ]
[ User: postgres - Total duration: 302ms - Times executed: 214 ]
[ User: postgres - Total duration: 282ms - Times executed: 1296 ]
[ User: postgres - Total duration: 13m56s - Times executed: 266 ]
[ User: postgres - Total duration: 1s477ms - Times executed: 463 ]
[ User: postgres - Total duration: 584ms - Times executed: 1367 ]
[ User: postgres - Total duration: 471ms - Times executed: 288 ]
[ User: postgres - Total duration: 22ms - Times executed: 18 ]
[ User: postgres - Total duration: 40ms - Times executed: 288 ]
[ User: postgres - Total duration: 46ms - Times executed: 13 ]
[ User: postgres - Total duration: 7ms - Times executed: 6 ]
[ User: postgres - Total duration: 0ms - Times executed: 92 ]
[ User: postgres - Total duration: 18ms - Times executed: 13 ]
[ User: postgres - Total duration: 10ms - Times executed: 89 ]
[ User: postgres - Total duration: 0ms - Times executed: 79 ]
[ User: postgres - Total duration: 713ms - Times executed: 4 ]
[ User: postgres - Total duration: 0ms - Times executed: 80 ]
[ User: postgres - Total duration: 2ms - Times executed: 1 ]
[ User: postgres - Total duration: 0ms - Times executed: 1 ]

Time consuming bind


[ User: postgres - Total duration: 1h11m19s - Times executed: 1462 ]
[ User: postgres - Total duration: 8s513ms - Times executed: 5942 ]
[ User: postgres - Total duration: 40s832ms - Times executed: 89 ]
[ User: postgres - Total duration: 302ms - Times executed: 214 ]
[ User: postgres - Total duration: 2s144ms - Times executed: 1847 ]
[ User: postgres - Total duration: 25ms - Times executed: 17 ]
[ User: postgres - Total duration: 283ms - Times executed: 1320 ]
[ User: postgres - Total duration: 584ms - Times executed: 1367 ]
[ User: postgres - Total duration: 17ms - Times executed: 5301 ]
[ User: postgres - Total duration: 471ms - Times executed: 288 ]
[ User: postgres - Total duration: 0ms - Times executed: 7 ]
[ User: postgres - Total duration: 40ms - Times executed: 288 ]
[ User: postgres - Total duration: 713ms - Times executed: 4 ]
[ User: postgres - Total duration: 18ms - Times executed: 13 ]
[ User: postgres - Total duration: 22ms - Times executed: 18 ]
[ User: postgres - Total duration: 46ms - Times executed: 13 ]
[ User: postgres - Total duration: 34ms - Times executed: 6 ]
[ User: postgres - Total duration: 400ms - Times executed: 211 ]
[ User: postgres - Total duration: 4ms - Times executed: 137 ]
[ User: postgres - Total duration: 5ms - Times executed: 67 ]

Log levels

Key values

98,294 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	184	0.19%
DETAIL	27,169	27.64%
ERROR	6	0.01%
LOG	70,700	71.93%
STATEMENT	235	0.24%

Events distribution

Key values

0 PANIC entries
0 FATAL entries
12 ERROR entries
0 WARNING entries

Most Frequent Errors/Events

Key values

8 Max number of times the same event was reported
12 Total events found

Rank

Times reported

Error

1

8

Details

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

Times Reported Most Frequent Error / Event #1

Day	Hour	Count
Jun 30	06	8

LOG: process 26098 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.058 ms at character 28
LOG: process 25644 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.059 ms at character 28
LOG: process 25665 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.053 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
Jun 30	06	3

LOG: process 9584 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 1000.054 ms
LOG: process 9584 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 651096.236 ms
LOG: process 11056 still waiting for AccessExclusiveLock on relation 5894441 of database 5881926 after 1000.061 ms

3

1

Details

ERROR: column "..." does not exist

Times Reported Most Frequent Error / Event #3

Day	Hour	Count
Jun 30	06	1

ERROR: column c.relhasoids does not exist at character 245

Global information

Overview

Global Stats

SQL Traffic

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SELECT Traffic

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INSERT/UPDATE/DELETE Traffic

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Queries duration

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Prepared queries ratio

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General Activity

Connections

Established Connections

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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

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Checkpoints Activity

Checkpoint causes

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Temporary Files

Size of temporary files

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Number of temporary files

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Temporary Files Activity

Queries generating the most temporary files (N)

Queries generating the largest temporary files

Vacuums

Vacuums / Analyzes Distribution

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Analyzes per table

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Vacuums per table

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Tuples removed per table

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Pages removed per table

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Pages removed per tables

Autovacuum Activity

Locks

Locks by types

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Most frequent waiting queries (N)

Queries that waited the most

Queries

Queries by type

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Queries by database

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Queries by user

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Duration by user