pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Mon May 20 04:59:39 2024
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2024-05-20_060000.log
Parsed 1,176,095 log entries in 38s
Log start from 2024-05-20 06:00:00 to 2024-05-20 06:59:35

Global Stats

962 Number of unique normalized queries
81,836 Number of queries
2h38m26s Total query duration
2024-05-20 06:00:00 First query
2024-05-20 06:59:35 Last query
2,938 queries/s at 2024-05-20 06:18:38 Query peak

2h38m26s Total query duration
27s291ms Prepare/parse total duration
47s153ms Bind total duration
2h37m11s Execute total duration

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

49 Total number of automatic vacuums
58 Total number of automatic analyzes

322 Number temporary file
85.48 MiB Max size of temporary file
4.92 MiB Average size of temporary file

2,332 Total number of sessions
13 sessions at 2024-05-20 06:56:12 Session peak
2d14h43m59s Total duration of sessions
1m36s Average duration of sessions
35 Average queries per session
4s76ms Average queries duration per session
1m32s Average idle time per session

2,334 Total number of connections
34 connections/s at 2024-05-20 06:10:01 Connection peak
4 Total number of databases

SQL Traffic

Key values

2,938 queries/s Query Peak
2024-05-20 06:18:38 Date

SELECT Traffic

Key values

2,644 queries/s Query Peak
2024-05-20 06:18:38 Date

INSERT/UPDATE/DELETE Traffic

Key values

155 queries/s Query Peak
2024-05-20 06:04:51 Date

Queries duration

Key values

2h38m26s 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 20	06	81,836	0ms	13m26s	115ms	4m14s	5m3s	16m25s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
May 20	06	54,645	579	39ms	1m5s	1m42s	2m44s

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
May 20	06	18,647	2,088	13	78	2ms	460ms	1s274ms	2s657ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
May 20	06	10,557	59,606	5.65	13.16%

Day	Hour	Count	Average / Second
May 20	06	2,334	0.65/s

Day	Hour	Count	Average Duration	Average idle time
May 20	06	2,332	1m36s	1m32s

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Established Connections

Key values

34 connections Connection Peak
2024-05-20 06:10:01 Date

Connections per database

Key values

acaweb_fx Main Database
2,334 connections Total

Chart
Table

Database	User	Count
acaweb_fx		2,329
	pg_dump	1
	postgres	1,983
	psql	345
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
2,334 connections Total

Chart
Table

User	Count
pg_dump	4
postgres	1,983
psql	347

Connections per host

Key values

192.168.4.142 Main host with 1033 connections
2,334 Total connections

Chart
Table

Host	Count
127.0.0.1	122
192.168.0.216	80
192.168.0.42	19
192.168.1.145	44
192.168.1.20	66
192.168.1.23	1
192.168.1.250	103
192.168.1.90	56
192.168.2.126	66
192.168.2.182	12
192.168.2.205	16
192.168.2.82	48
192.168.3.199	60
192.168.4.142	1,033
192.168.4.150	10
192.168.4.168	32
192.168.4.174	1
192.168.4.238	18
192.168.4.90	6
192.168.4.98	306
[local]	235

Simultaneous sessions

Key values

13 sessions Session Peak
2024-05-20 06:56:12 Date

Histogram of session times

Key values

1,981 0-500ms duration

Chart
Table

Range	Count	Percentage
0ms-500ms	1,981	84.95%
500ms-1s	107	4.59%
1s-30s	135	5.79%
30s-1m	6	0.26%
1m-10m	23	0.99%
10m-30m	63	2.70%
30m-1h	6	0.26%
1h-8h	11	0.47%
> 8h	0	0.00%

Sessions per database

Key values

acaweb_fx Main Database
2,332 sessions Total

Chart
Table

Database	User	Count	Total Duration
acaweb_fx	2,327	2d14h24m49s	1m36s
acaweb_fx_integer	1	19m9s	19m9s
postgres	3	249ms	83ms
translations	1	145ms	145ms

Sessions per user

Key values

postgres Main User
2,332 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
2,332 sessions Total

Chart
Table

Host	Count	Total Duration	Average Duration
127.0.0.1	122	1h3m25s	31s189ms
192.168.0.216	80	1s88ms	13ms
192.168.0.42	18	7h45m34s	25m51s
192.168.1.145	44	4h6m37s	5m36s
192.168.1.20	65	14h3m49s	12m58s
192.168.1.23	1	31ms	31ms
192.168.1.250	103	14h7m17s	8m13s
192.168.1.90	56	32s584ms	581ms
192.168.2.126	66	6s594ms	99ms
192.168.2.182	12	642ms	53ms
192.168.2.205	16	1h	3m45s
192.168.2.82	48	1s909ms	39ms
192.168.3.199	60	937ms	15ms
192.168.4.142	1,033	8m33s	497ms
192.168.4.150	10	20h9m44s	2h58s
192.168.4.168	32	2s193ms	68ms
192.168.4.174	1	228ms	228ms
192.168.4.238	18	4s563ms	253ms
192.168.4.90	6	75ms	12ms
192.168.4.98	306	20s33ms	65ms
[local]	235	17m45s	4s534ms

Sessions per application

Key values

[unknown] Main Host
2,332 sessions Total

Chart
Table

Application	Count	Total Duration	Average Duration
PostgreSQL JDBC Driver	266	2d12h13m8s	13m34s
[unknown]	1,715	1h40m4s	3s500ms
pg_dump	4	32m46s	8m11s
psql	347	18m	3s112ms

Checkpoints Buffers

Key values

8,940 buffers Checkpoint Peak
2024-05-20 06:12:35 Date
209.925 seconds Highest write time
0.006 seconds Sync time

Checkpoints Wal files

Key values

4 files Wal files usage Peak
2024-05-20 06:12:35 Date

Checkpoints distance

Key values

122.87 Mo Distance Peak
2024-05-20 06:12:35 Date

Checkpoints Activity

Day	Hour	Written buffers	Write time	Sync time	Total time
May 20	06	37,027	1,861.119s	0.027s	1,861.333s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
May 20	06	0	0	20	1,930	0.003s	0s

Day	Hour	Count	Avg time (sec)
May 20	06	0	0s

Day	Hour	Mean distance	Mean estimate
May 20	06	29,736.82 kB	48,688.18 kB

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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

94.57 MiB Temp Files size Peak
2024-05-20 06:10:05 Date

Number of temporary files

Key values

30 per second Temp Files Peak
2024-05-20 06:32:25 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
May 20	06	322	1.55 GiB	4.92 MiB

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Queries generating the most temporary files (N)

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	40	1.21 GiB	3.53 MiB	85.48 MiB	31.02 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = ? ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = ? ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = ?) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, ?::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> ? ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = ?) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = ? where (ok.r is null or ok.r = ?) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = ?) and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > ? ? and last.eventtimestamp > current_timestamp - interval ? and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval ?) and last.eventtimestamp > current_timestamp - interval ? and broker.r = ?; with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; Date: 2024-05-20 06:40:09 Duration: 6s525ms Database: acaweb_fx User: postgres Remote: 192.168.1.90 Application: [unknown] with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; Date: 2024-05-20 06:20:08 Duration: 6s45ms Database: acaweb_fx User: postgres Remote: 192.168.1.90 Application: [unknown] with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; Date: 2024-05-20 06:30:08 Duration: 5s622ms Database: acaweb_fx User: postgres Remote: 192.168.1.90 Application: [unknown]
2	13	46.08 MiB	3.53 MiB	3.55 MiB	3.54 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: 2024-05-20 06:26:16 Duration: 2s604ms 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: 2024-05-20 06:31:16 Duration: 2s421ms 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: 2024-05-20 06:33:15 Duration: 1s518ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
3	10	74.07 MiB	7.40 MiB	7.41 MiB	7.41 MiB	with rar_max as ( ; WITH rar_max as ( ; Date: 2024-05-20 06:10:18 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver
4	4	222.31 MiB	55.53 MiB	55.62 MiB	55.58 MiB	select updateageforrelevantresults (); select updateageforrelevantresults (); Date: 2024-05-20 06:17:32 Duration: 30s641ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2024-05-20 06:32:30 Duration: 28s177ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2024-05-20 06:47:28 Duration: 25s421ms Database: acaweb_fx User: postgres Remote: [local] Application: psql

Queries generating the largest temporary files

Rank	Size	Query
1	85.48 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:40:06 ]
2	74.26 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:30:05 ]
3	66.80 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:10:04 ]
4	55.62 MiB	select updateageforrelevantresults (); [ Date: 2024-05-20 06:17:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
5	55.60 MiB	select updateageforrelevantresults (); [ Date: 2024-05-20 06:47:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
6	55.55 MiB	select updateageforrelevantresults (); [ Date: 2024-05-20 06:32:19 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
7	55.53 MiB	select updateageforrelevantresults (); [ Date: 2024-05-20 06:02:05 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
8	55.04 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:50:04 ]
9	53.51 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:20:05 ]
10	53.31 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:50:03 ]
11	51.48 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:00:04 ]
12	50.11 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:30:07 ]
13	49.15 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:10:05 ]
14	46.79 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:20:06 ]
15	45.21 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:00:05 ]
16	44.19 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:20:05 ]
17	42.86 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:10:06 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.90 - Application: [unknown] ]
18	39.64 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:30:06 ]
19	38.82 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:40:09 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.90 - Application: [unknown] ]
20	36.61 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2024-05-20 06:00:05 ]

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 (16) Main table analyzed (database acaweb_fx)
58 analyzes Total

Chart
Table

Table	Number of analyzes
acaweb_fx.public.solr_relevance_old	16
acaweb_fx.pg_catalog.pg_attribute	6
acaweb_fx.pg_catalog.pg_type	4
acaweb_fx.public.datafeeds_latestrun	4
acaweb_fx.public.relevance_keylevels_results	4
acaweb_fx.pg_catalog.pg_class	4
acaweb_fx.public.relevance_autochartist_results	4
acaweb_fx.public.relevance_fibonacci_results	4
acaweb_fx.pg_catalog.pg_index	2
acaweb_fx.public.autochartist_symbolupdates	2
acaweb_fx.public.relevance_bigmovement_results	2
acaweb_fx.public.latest_t15_candle_view	2
acaweb_fx.pg_catalog.pg_depend	2
acaweb_fx.public.symbollatestupdatetime	1
acaweb_fx.public.latest_candle_datetime_per_receng	1
Total	58

Vacuums per table

Key values

public.solr_relevance_old (23) Main table vacuumed on database acaweb_fx
49 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	23	17	13,523	0	50	0	146	7,223	392	2,504,015
acaweb_fx.public.datafeeds_latestrun	4	0	479	0	18	0	0	68	43	78,657
acaweb_fx.public.relevance_keylevels_results	3	3	11,583	0	582	0	300	2,164	838	2,427,885
acaweb_fx.public.relevance_autochartist_results	3	3	10,190	0	355	3	771	1,575	605	1,562,900
acaweb_fx.pg_toast.pg_toast_2619	2	2	274	0	68	0	0	192	62	234,022
acaweb_fx.pg_catalog.pg_type	2	2	277	0	58	0	0	114	41	245,493
acaweb_fx.pg_catalog.pg_statistic	2	2	1,802	0	400	0	1,371	1,075	371	1,456,158
acaweb_fx.public.relevance_bigmovement_results	2	2	373	0	11	0	0	98	29	121,943
acaweb_fx.pg_catalog.pg_class	2	2	788	0	70	0	78	263	68	351,392
acaweb_fx.public.relevance_fibonacci_results	2	2	2,508	0	71	0	135	286	54	130,393
acaweb_fx.pg_catalog.pg_index	1	1	91	0	13	0	0	27	10	75,347
acaweb_fx.public.autochartist_symbolupdates	1	1	8,073	0	2,898	0	9,817	4,296	2,888	1,827,459
acaweb_fx.pg_catalog.pg_attribute	1	1	757	0	177	0	64	370	145	840,881
acaweb_fx.public.latest_t15_candle_view	1	1	70	0	4	0	0	5	1	7,741
Total	49	39	50,788	36,462	4,775	3	12,682	17,756	5,547	11,864,286

Tuples removed per table

Key values

public.solr_relevance_old (65079) Main table with removed tuples on database acaweb_fx
79395 tuples Total removed

Chart
Table

		Index	Tuples			Pages
Table	Vacuums	scans	removed	remain	not yet removable	removed	remain
acaweb_fx.public.solr_relevance_old	23	17	65,079	149,336	35,539	0	3,705
acaweb_fx.public.autochartist_symbolupdates	1	1	5,009	50,226	0	0	11,334
acaweb_fx.public.relevance_keylevels_results	3	3	2,926	37,305	1,811	0	837
acaweb_fx.public.relevance_autochartist_results	3	3	1,709	24,200	1,153	0	1,140
acaweb_fx.pg_catalog.pg_attribute	1	1	1,649	9,333	0	0	236
acaweb_fx.pg_catalog.pg_statistic	2	2	1,095	8,993	40	0	2,388
acaweb_fx.pg_catalog.pg_class	2	2	489	3,989	7	0	300
acaweb_fx.public.relevance_bigmovement_results	2	2	422	2,495	279	0	54
acaweb_fx.public.relevance_fibonacci_results	2	2	343	2,586	192	0	204
acaweb_fx.pg_catalog.pg_type	2	2	260	2,644	44	0	74
acaweb_fx.public.datafeeds_latestrun	4	0	224	64	12	0	72
acaweb_fx.pg_toast.pg_toast_2619	2	2	143	336	2	0	96
acaweb_fx.public.latest_t15_candle_view	1	1	46	24	11	0	1
acaweb_fx.pg_catalog.pg_index	1	1	1	823	12	0	22
Total	49	39	79,395	292,354	39,102	0	20,463

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	2	2	143
acaweb_fx.pg_catalog.pg_index	1	1	1
acaweb_fx.pg_catalog.pg_type	2	2	260
acaweb_fx.public.datafeeds_latestrun	4	0	224
acaweb_fx.public.autochartist_symbolupdates	1	1	5009
acaweb_fx.pg_catalog.pg_attribute	1	1	1649
acaweb_fx.pg_catalog.pg_statistic	2	2	1095
acaweb_fx.public.relevance_bigmovement_results	2	2	422
acaweb_fx.public.latest_t15_candle_view	1	1	46
acaweb_fx.public.relevance_keylevels_results	3	3	2926
acaweb_fx.public.relevance_autochartist_results	3	3	1709
acaweb_fx.pg_catalog.pg_class	2	2	489
acaweb_fx.public.solr_relevance_old	23	17	65079
acaweb_fx.public.relevance_fibonacci_results	2	2	343
Total	49	39	79,395

Autovacuum Activity

Vacuums / Analyzes

Day	Hour	VACUUMs	ANALYZEs
May 20	06	49	58

↑ Back to the top of the Autovacuum Activity table

Locks by types

Key values

AccessExclusiveLock Main Lock Type
3 locks Total

Chart
Table

Type	Object	Count	Total Duration	Average Duration (s)
AccessExclusiveLock		2	15m3s	7m31s
	relation	2	15m3s	7m31s
AccessShareLock		1	23s704ms	23s704ms
	relation	1	23s704ms	23s704ms
	Total	3	15m27s	5m9s

Most frequent waiting queries (N)

Rank	Count	Total time	Min time	Max time	Avg duration	Query
1	1	13m26s	13m26s	13m26s	13m26s	truncate table solr_relevance_old; TRUNCATE TABLE solr_relevance_old; Date: 2024-05-20 06:18:38 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2024-05-20 06:31:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2024-05-20 06:26:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
2	1	1m36s	1m36s	1m36s	1m36s	refresh materialized view latest_candle_datetime_per_receng; refresh materialized view latest_candle_datetime_per_receng; Date: 2024-05-20 06:18:38 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2024-05-20 06:32:01 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2024-05-20 06:47:01 Database: acaweb_fx User: postgres Remote: [local] Application: psql
3	1	23s704ms	23s704ms	23s704ms	23s704ms	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: 2024-05-20 06:08:11 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: 2024-05-20 06:51:45 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: 2024-05-20 06:18:38 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: PostgreSQL JDBC Driver Bind query: yes

Rank

Count

Total time

Min time

Max time

Avg duration

Query

1

13m26s

truncate table solr_relevance_old;

TRUNCATE TABLE solr_relevance_old;

Date: 2024-05-20 06:18:38 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2024-05-20 06:31:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2024-05-20 06:26:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql

2

1

1m36s

refresh materialized view latest_candle_datetime_per_receng;

refresh materialized view latest_candle_datetime_per_receng;

Date: 2024-05-20 06:18:38 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2024-05-20 06:32:01 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2024-05-20 06:47:01 Database: acaweb_fx User: postgres Remote: [local] Application: psql

3

1

23s704ms

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: 2024-05-20 06:08:11 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: 2024-05-20 06:51:45 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: 2024-05-20 06:18:38 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: PostgreSQL JDBC Driver Bind query: yes

Queries that waited the most

Rank	Wait time	Query
1	13m26s	TRUNCATE TABLE solr_relevance_old; [ Date: 2024-05-20 06:18:37 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	1m36s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2024-05-20 06:18:37 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	23s704ms	select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng; [ Date: 2024-05-20 06:18:38 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: PostgreSQL JDBC Driver ]

Rank

Wait time

Query

1

13m26s

TRUNCATE TABLE solr_relevance_old;

[ Date: 2024-05-20 06:18:37 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]

2

1m36s

refresh materialized view latest_candle_datetime_per_receng;

[ Date: 2024-05-20 06:18:37 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]

3

23s704ms

select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;

[ Date: 2024-05-20 06:18:38 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: PostgreSQL JDBC Driver ]

Queries by type

Key values

54,645 Total read queries
25,583 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	54,645	66.77%
INSERT	18,647	22.79%
UPDATE	2,088	2.55%
DELETE	13	0.02%
COPY FROM	78	0.10%
COPY TO	579	0.71%
CTE	3,501	4.28%
DDL	13	0.02%
TCL	664	0.81%
CURSOR	0	0.00%
OTHERS	1,608	1.96%

Queries by database

Key values

acaweb_fx Main database
77,838 Requests
2h18m15s (acaweb_fx)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	77,838	2h18m15s
	copy from	78	4s793ms
	copy to	303	13m38s
	cte	3,498	1h44m55s
	ddl	13	13m27s
	delete	13	19ms
	insert	18,647	26s743ms
	others	1,305	1m53s
	select	51,232	3m33s
	tcl	661	145ms
	update	2,088	15s646ms
acaweb_fx_integer	Total	3,584	18m55s
	copy to	276	18m54s
	cte	1	4ms
	others	285	16ms
	select	3,021	972ms
	tcl	1	0ms
postgres	Total	367	224ms
	cte	1	2ms
	others	9	0ms
	select	356	221ms
	tcl	1	0ms
translations	Total	47	136ms
	cte	1	1ms
	others	9	0ms
	select	36	134ms
	tcl	1	0ms

Queries by user

Key values

postgres Main user
81,836 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	81,836	2h37m11s
	copy from	78	4s793ms
	copy to	579	32m33s
	cte	3,501	1h44m55s
	ddl	13	13m27s
	delete	13	19ms
	insert	18,647	26s743ms
	others	1,608	1m53s
	select	54,645	3m34s
	tcl	664	145ms
	update	2,088	15s646ms

Duration by user

Key values

2h37m11s (postgres) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	81,836	2h37m11s
	copy from	78	4s793ms
	copy to	579	32m33s
	cte	3,501	1h44m55s
	ddl	13	13m27s
	delete	13	19ms
	insert	18,647	26s743ms
	others	1,608	1m53s
	select	54,645	3m34s
	tcl	664	145ms
	update	2,088	15s646ms

Queries by host

Key values

127.0.0.1 Main host
19,408 Requests
41m31s (192.168.1.250)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
127.0.0.1	Total	19,408	33m16s
	copy to	579	32m33s
	cte	24	212ms
	insert	9,599	12s791ms
	others	607	20ms
	select	7,002	28s596ms
	tcl	4	0ms
	update	1,593	1s20ms
182.165.1.42	Total	172	6m16s
	cte	60	6m16s
	select	112	115ms
192.168.0.114	Total	32	32ms
	select	10	15ms
	tcl	16	5ms
	update	6	11ms
192.168.0.216	Total	320	254ms
	others	160	13ms
	select	152	142ms
	update	8	98ms
192.168.0.236	Total	16	20ms
	cte	2	0ms
	select	14	19ms
192.168.0.239	Total	254	1s115ms
	select	254	1s115ms
192.168.0.42	Total	761	3s335ms
	cte	1	0ms
	insert	17	1ms
	others	38	0ms
	select	705	3s332ms
192.168.1.135	Total	188	336ms
	cte	7	114ms
	select	181	221ms
192.168.1.145	Total	18,044	28m28s
	cte	802	28m9s
	others	88	0ms
	select	17,154	18s934ms
192.168.1.20	Total	16,459	28m31s
	cte	819	28m14s
	others	132	1ms
	select	15,508	17s394ms
192.168.1.201	Total	1,332	3s14ms
	select	1,332	3s14ms
192.168.1.23	Total	2,591	6s226ms
	others	2	0ms
	select	2,589	6s226ms
192.168.1.250	Total	10,437	41m31s
	cte	1,685	41m23s
	others	206	1ms
	select	8,546	7s534ms
192.168.1.90	Total	64	30s842ms
	cte	6	30s781ms
	others	8	0ms
	select	50	60ms
192.168.1.93	Total	4	0ms
	select	4	0ms
192.168.2.126	Total	84	75ms
	others	18	0ms
	select	66	75ms
192.168.2.182	Total	48	263ms
	others	24	2ms
	select	12	9ms
	update	12	251ms
192.168.2.205	Total	146	149ms
	insert	88	19ms
	others	28	2ms
	select	26	36ms
	update	4	91ms
192.168.2.82	Total	881	2s9ms
	insert	531	1s228ms
	others	96	9ms
	select	157	100ms
	update	97	672ms
192.168.3.199	Total	240	223ms
	others	120	8ms
	select	108	92ms
	update	12	121ms
192.168.4.142	Total	8,983	13s185ms
	insert	8,410	12s692ms
	select	573	493ms
192.168.4.150	Total	22	1s99ms
	others	21	0ms
	select	1	1s99ms
192.168.4.168	Total	64	1s242ms
	select	32	1s241ms
	tcl	32	1ms
192.168.4.174	Total	3	71ms
	cte	1	71ms
	others	2	0ms
192.168.4.238	Total	54	2s535ms
	cte	16	2s524ms
	insert	2	10ms
	others	36	0ms
192.168.4.90	Total	18	16ms
	others	12	0ms
	select	4	16ms
	update	2	0ms
192.168.4.98	Total	924	16s643ms
	others	6	15s947ms
	select	6	29ms
	tcl	612	138ms
	update	300	527ms
[local]	Total	287	17m45s
	copy from	78	4s793ms
	cte	78	17s667ms
	ddl	13	13m27s
	delete	13	19ms
	others	4	1m37s
	select	47	2m5s
	update	54	12s850ms

Queries by application

Key values

PostgreSQL JDBC Driver Main application
49,919 Requests
1h38m48s (PostgreSQL JDBC Driver)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
PostgreSQL JDBC Driver	Total	49,919	1h38m48s
	cte	3,331	1h37m49s
	insert	19	11ms
	others	275	2ms
	select	46,292	58s924ms
	update	2	0ms
[unknown]	Total	23,822	8m1s
	cte	68	6m47s
	insert	18,628	26s731ms
	others	740	15s986ms
	select	1,706	28s754ms
	tcl	660	145ms
	update	2,020	2s775ms
pg_dump	Total	7,696	32m21s
	copy to	553	32m19s
	cte	4	11ms
	others	589	20ms
	select	6,546	2s62ms
	tcl	4	0ms
psql	Total	399	17m59s
	copy from	78	4s793ms
	copy to	26	13s727ms
	cte	98	17s868ms
	ddl	13	13m27s
	delete	13	19ms
	others	4	1m37s
	select	101	2m5s
	update	66	12s871ms

Number of cancelled queries

Key values

0 per second Cancelled query Peak
2024-05-20 06:53:31 Date

Number of cancelled queries (5 minutes period)

NO DATASET

Histogram of query times

Key values

53,183 0-1ms duration

Chart
Table

Range	Count	Percentage
0-1ms	53,183	64.99%
1-5ms	23,594	28.83%
5-10ms	1,639	2.00%
10-25ms	634	0.77%
25-50ms	298	0.36%
50-100ms	362	0.44%
100-500ms	592	0.72%
500-1000ms	265	0.32%
1000-10000ms	1,077	1.32%
> 10000ms	192	0.23%

Slowest individual queries


[ Date: 2024-05-20 06:18:38 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-05-20 06:07:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:30:56 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:13:33 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:20:49 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:35:10 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:23:49 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:18:38 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2024-05-20 06:22:10 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:10:46 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:27:02 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:28:10 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:14:42 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:16:51 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:36:50 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:15:46 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:33:19 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:31:47 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:24:58 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2024-05-20 06:25:49 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Rank	Duration	Query
1	13m26s	TRUNCATE TABLE solr_relevance_old; [ Date: 2024-05-20 06:18:38 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	2m50s	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: 2024-05-20 06:07:53 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
3	2m42s	COPY public.researchreports (researchreportid, type, createddatetime, language, filename, xml) TO stdout; [ Date: 2024-05-20 06:30:56 - 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: 2024-05-20 06:13:33 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
5	2m10s	COPY archive.stats_success (resultuid, atbaridentified, type, minprice, maxprice, correct, symbol, "interval", pattern, direction, hourofday, quality, breakout, clarity, initialtrend, volumeincrease, symmetry, qtytp, trendchange, patternlengthbars, symbolid) TO stdout; [ Date: 2024-05-20 06:20:49 - 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: 2024-05-20 06:35:10 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
7	1m39s	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: 2024-05-20 06:23:49 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
8	1m37s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2024-05-20 06:18:38 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
9	1m13s	COPY public.authenticationlog (attemptid, username, password, brokerid, authclass, attemptdatetime, success, fingerprint, accounttype) TO stdout; [ Date: 2024-05-20 06:22:10 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
10	1m10s	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: 2024-05-20 06:10:46 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
11	1m9s	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: 2024-05-20 06:27:02 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
12	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: 2024-05-20 06:28:10 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
13	1m7s	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: 2024-05-20 06:14:42 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
14	1m4s	COPY public.t15_ps (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten) TO stdout; [ Date: 2024-05-20 06:16:51 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
15	1m2s	COPY public.t30_ps (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten) TO stdout; [ Date: 2024-05-20 06:36:50 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
16	51s341ms	COPY public.t15_hve (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived, pricesadjusted, relevanceprocessed, recengprocessedadjusted) TO stdout; [ Date: 2024-05-20 06:15:46 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
17	48s994ms	COPY public.t15_hve (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived, pricesadjusted, relevanceprocessed, recengprocessedadjusted) TO stdout; [ Date: 2024-05-20 06:33:19 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
18	48s231ms	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: 2024-05-20 06:31:47 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
19	46s641ms	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: 2024-05-20 06:24:58 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
20	41s621ms	COPY public.patternresultsrelevance (resultuid, type, relevant, reason, notrelevantpricedatetime, uniqueindex, saxo_relevant, datetimerelevantupdated) TO stdout; [ Date: 2024-05-20 06:25:49 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Time consuming queries


[ User: postgres - Total duration: 43m2s - Times executed: 413 ]
[ User: postgres - Total duration: 41m33s - Times executed: 413 ]
[ User: postgres - Total duration: 15m11s - Times executed: 413 ]
[ User: postgres - Total duration: 13m27s - Times executed: 13 ]
[ User: postgres - Total duration: 5m23s - Times executed: 2 ]
[ User: postgres - Total duration: 5m1s - Times executed: 2 ]
[ User: postgres - Total duration: 2m55s - Times executed: 2 ]
[ User: postgres - Total duration: 2m17s - Times executed: 2 ]
[ User: postgres - Total duration: 2m17s - Times executed: 340 ]
[ User: postgres - Total duration: 1m55s - Times executed: 2 ]
[ User: postgres - Total duration: 1m55s - Times executed: 2 ]
[ User: postgres - Total duration: 1m40s - Times executed: 2 ]
[ User: postgres - Total duration: 1m37s - Times executed: 4 ]
[ User: postgres - Total duration: 1m37s - Times executed: 2 ]
[ User: postgres - Total duration: 1m35s - Times executed: 4 ]
[ User: postgres - Total duration: 1m32s - Times executed: 2 ]
[ User: postgres - Total duration: 1m25s - Times executed: 165 ]
[ User: postgres - Total duration: 1m14s - Times executed: 2 ]
[ User: postgres - Total duration: 52s431ms - Times executed: 2 ]
[ User: postgres - Total duration: 48s207ms - Times executed: 2 ]

Most frequent queries (N)


[ User: postgres - Total duration: 75ms - Times executed: 19283 ]
[ User: postgres - Total duration: 13s675ms - Times executed: 12355 ]
[ User: postgres - Total duration: 25s897ms - Times executed: 10964 ]
[ User: postgres - Total duration: 6s388ms - Times executed: 5162 ]
[ User: postgres - Total duration: 8s122ms - Times executed: 4670 ]
[ User: postgres - Total duration: 2s482ms - Times executed: 2364 ]
[ User: postgres - Total duration: 1s625ms - Times executed: 2188 ]
[ User: postgres - Total duration: 4s477ms - Times executed: 2112 ]
[ User: postgres - Total duration: 999ms - Times executed: 1581 ]
[ User: postgres - Total duration: 22ms - Times executed: 1540 ]
[ User: postgres - Total duration: 2s20ms - Times executed: 1323 ]
[ User: postgres - Total duration: 92ms - Times executed: 860 ]
[ User: postgres - Total duration: 207ms - Times executed: 685 ]
[ User: postgres - Total duration: 362ms - Times executed: 609 ]
[ User: postgres - Total duration: 76ms - Times executed: 594 ]
[ User: postgres - Total duration: 18ms - Times executed: 562 ]
[ User: postgres - Total duration: 36ms - Times executed: 553 ]
[ User: postgres - Total duration: 1s684ms - Times executed: 548 ]
[ User: postgres - Total duration: 247ms - Times executed: 510 ]
[ User: postgres - Total duration: 41ms - Times executed: 487 ]

Normalized slowest queries (N)


[ User: postgres - Total duration: 5m23s - Times executed: 2 ]
[ User: postgres - Total duration: 5m1s - Times executed: 2 ]
[ User: postgres - Total duration: 2m55s - Times executed: 2 ]
[ User: postgres - Total duration: 2m17s - Times executed: 2 ]
[ User: postgres - Total duration: 13m27s - Times executed: 13 ]
[ User: postgres - Total duration: 1m55s - Times executed: 2 ]
[ User: postgres - Total duration: 1m55s - Times executed: 2 ]
[ User: postgres - Total duration: 1m40s - Times executed: 2 ]
[ User: postgres - Total duration: 1m37s - Times executed: 2 ]
[ User: postgres - Total duration: 1m32s - Times executed: 2 ]
[ User: postgres - Total duration: 1m14s - Times executed: 2 ]
[ User: postgres - Total duration: 52s431ms - Times executed: 2 ]
[ User: postgres - Total duration: 1m37s - Times executed: 4 ]
[ User: postgres - Total duration: 48s207ms - Times executed: 2 ]
[ User: postgres - Total duration: 1m35s - Times executed: 4 ]
[ User: postgres - Total duration: 43m2s - Times executed: 413 ]
[ User: postgres - Total duration: 41m33s - Times executed: 413 ]
[ User: postgres - Total duration: 15m11s - Times executed: 413 ]
[ User: postgres - Total duration: 1m25s - Times executed: 165 ]
[ User: postgres - Total duration: 2m17s - Times executed: 340 ]

Time consuming prepare


[ User: postgres - Total duration: 0ms - Times executed: 6 ]
[ User: postgres - Total duration: 1h32m47s - Times executed: 2226 ]
[ User: postgres - Total duration: 5s3ms - Times executed: 1454 ]
[ User: postgres - Total duration: 3s926ms - Times executed: 1512 ]
[ User: postgres - Total duration: 428ms - Times executed: 263 ]
[ User: postgres - Total duration: 2s279ms - Times executed: 2238 ]
[ User: postgres - Total duration: 1s978ms - Times executed: 1206 ]
[ User: postgres - Total duration: 2s524ms - Times executed: 16 ]
[ User: postgres - Total duration: 18s185ms - Times executed: 35 ]
[ User: postgres - Total duration: 33ms - Times executed: 18 ]
[ User: postgres - Total duration: 2ms - Times executed: 300 ]
[ User: postgres - Total duration: 29ms - Times executed: 12 ]
[ User: postgres - Total duration: 2ms - Times executed: 588 ]
[ User: postgres - Total duration: 56ms - Times executed: 10 ]
[ User: postgres - Total duration: 30s781ms - Times executed: 6 ]
[ User: postgres - Total duration: 10ms - Times executed: 6 ]
[ User: postgres - Total duration: 82ms - Times executed: 24 ]
[ User: postgres - Total duration: 0ms - Times executed: 27 ]
[ User: postgres - Total duration: 1s232ms - Times executed: 8 ]
[ User: postgres - Total duration: 4ms - Times executed: 16 ]

Time consuming bind


[ User: postgres - Total duration: 1h42m37s - Times executed: 3149 ]
[ User: postgres - Total duration: 43s272ms - Times executed: 24677 ]
[ User: postgres - Total duration: 1m25s - Times executed: 164 ]
[ User: postgres - Total duration: 2s524ms - Times executed: 16 ]
[ User: postgres - Total duration: 541ms - Times executed: 31 ]
[ User: postgres - Total duration: 428ms - Times executed: 263 ]
[ User: postgres - Total duration: 8s122ms - Times executed: 4670 ]
[ User: postgres - Total duration: 0ms - Times executed: 30 ]
[ User: postgres - Total duration: 65ms - Times executed: 19161 ]
[ User: postgres - Total duration: 2s482ms - Times executed: 2364 ]
[ User: postgres - Total duration: 879ms - Times executed: 176 ]
[ User: postgres - Total duration: 2s20ms - Times executed: 1323 ]
[ User: postgres - Total duration: 29ms - Times executed: 12 ]
[ User: postgres - Total duration: 56ms - Times executed: 10 ]
[ User: postgres - Total duration: 499ms - Times executed: 176 ]
[ User: postgres - Total duration: 1s232ms - Times executed: 8 ]
[ User: postgres - Total duration: 41ms - Times executed: 487 ]
[ User: postgres - Total duration: 71ms - Times executed: 1 ]
[ User: postgres - Total duration: 558ms - Times executed: 11 ]
[ User: postgres - Total duration: 30s781ms - Times executed: 6 ]

Log levels

Key values

239,393 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	184	0.08%
DETAIL	79,417	33.17%
ERROR	1	0.00%
LOG	159,483	66.62%
STATEMENT	308	0.13%

Events distribution

Key values

0 PANIC entries
0 FATAL entries
5 ERROR entries
0 WARNING entries

Most Frequent Errors/Events

Key values

4 Max number of times the same event was reported
5 Total events found

Rank

Times reported

Error

1

4

Details

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

Times Reported Most Frequent Error / Event #1

Day	Hour	Count
May 20	06	4

LOG: process 8653 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 1000.044 ms
LOG: process 8653 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 51931.729 ms
LOG: process 10382 still waiting for AccessExclusiveLock on relation 5894441 of database 5881926 after 1000.061 ms

2

1

Details

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

Times Reported Most Frequent Error / Event #2

Day	Hour	Count
May 20	06	1

LOG: process 10587 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.050 ms at character 77

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