pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Mon Dec 25 04:59:33 2023
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2023-12-25_060000.log
Parsed 563,931 log entries in 32s
Log start from 2023-12-25 06:00:00 to 2023-12-25 06:59:30

Global Stats

2,716 Number of unique normalized queries
53,747 Number of queries
2h28m37s Total query duration
2023-12-25 06:00:00 First query
2023-12-25 06:59:30 Last query
3,337 queries/s at 2023-12-25 06:18:59 Query peak

2h28m37s Total query duration
3s322ms Prepare/parse total duration
40s646ms Bind total duration
2h27m53s Execute total duration

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

30 Total number of automatic vacuums
41 Total number of automatic analyzes

390 Number temporary file
72.00 MiB Max size of temporary file
3.92 MiB Average size of temporary file

2,442 Total number of sessions
13 sessions at 2023-12-25 06:56:13 Session peak
3d2h46m24s Total duration of sessions
1m50s Average duration of sessions
22 Average queries per session
3s651ms Average queries duration per session
1m46s Average idle time per session

2,442 Total number of connections
26 connections/s at 2023-12-25 06:03:48 Connection peak
4 Total number of databases

SQL Traffic

Key values

3,337 queries/s Query Peak
2023-12-25 06:18:59 Date

SELECT Traffic

Key values

3,034 queries/s Query Peak
2023-12-25 06:18:59 Date

INSERT/UPDATE/DELETE Traffic

Key values

261 queries/s Query Peak
2023-12-25 06:17:08 Date

Queries duration

Key values

2h28m37s 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)
Dec 25	06	53,747	0ms	13m47s	165ms	3m47s	4m37s	48m55s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Dec 25	06	27,557	579	141ms	1m9s	2m16s	3m33s

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Dec 25	06	19,761	585	13	78	2ms	435ms	957ms	2s636ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
Dec 25	06	13,869	33,599	2.42	26.97%

Day	Hour	Count	Average / Second
Dec 25	06	2,442	0.68/s

Day	Hour	Count	Average Duration	Average idle time
Dec 25	06	2,442	1m50s	1m46s

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Established Connections

Key values

26 connections Connection Peak
2023-12-25 06:03:48 Date

Connections per database

Key values

acaweb_fx Main Database
2,442 connections Total

Chart
Table

Database	User	Count
acaweb_fx		2,437
	pg_dump	1
	postgres	2,098
	psql	338
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
2,442 connections Total

Chart
Table

User	Count
pg_dump	4
postgres	2,098
psql	340

Connections per host

Key values

192.168.4.142 Main host with 792 connections
2,442 Total connections

Chart
Table

Host	Count
127.0.0.1	120
172.10.1.90	14
192.168.0.216	149
192.168.1.145	11
192.168.1.20	31
192.168.1.23	255
192.168.1.239	128
192.168.1.25	60
192.168.1.250	70
192.168.2.126	70
192.168.2.182	12
192.168.2.205	12
192.168.2.82	56
192.168.3.199	64
192.168.4.142	792
192.168.4.150	10
192.168.4.168	30
192.168.4.219	1
192.168.4.238	16
192.168.4.98	306
[local]	235

Simultaneous sessions

Key values

13 sessions Session Peak
2023-12-25 06:56:13 Date

Histogram of session times

Key values

1,973 0-500ms duration

Chart
Table

Range	Count	Percentage
0ms-500ms	1,973	80.79%
500ms-1s	116	4.75%
1s-30s	233	9.54%
30s-1m	9	0.37%
1m-10m	41	1.68%
10m-30m	47	1.92%
30m-1h	8	0.33%
1h-8h	14	0.57%
> 8h	1	0.04%

Sessions per database

Key values

acaweb_fx Main Database
2,442 sessions Total

Chart
Table

Database	User	Count	Total Duration
acaweb_fx	2,437	3d2h27m29s	1m49s
acaweb_fx_integer	1	18m54s	18m54s
postgres	3	189ms	63ms
translations	1	124ms	124ms

Sessions per user

Key values

postgres Main User
2,442 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
2,442 sessions Total

Chart
Table

Host	Count	Total Duration	Average Duration
127.0.0.1	120	1h36m12s	48s102ms
172.10.1.90	14	33s84ms	2s363ms
192.168.0.216	149	24m46s	9s978ms
192.168.1.145	11	10h41m44s	58m20s
192.168.1.20	31	19h43m42s	38m11s
192.168.1.23	255	2h12m11s	31s105ms
192.168.1.239	128	711ms	5ms
192.168.1.25	60	28s514ms	475ms
192.168.1.250	70	16h3m21s	13m45s
192.168.2.126	70	6s389ms	91ms
192.168.2.182	12	599ms	49ms
192.168.2.205	12	377ms	31ms
192.168.2.82	56	3h29m16s	3m44s
192.168.3.199	64	2m41s	2s528ms
192.168.4.142	792	11m13s	850ms
192.168.4.150	10	20h1m18s	2h7s
192.168.4.168	30	2s612ms	87ms
192.168.4.219	1	137ms	137ms
192.168.4.238	16	3s628ms	226ms
192.168.4.98	306	18s894ms	61ms
[local]	235	18m19s	4s680ms

Sessions per application

Key values

[unknown] Main Host
2,442 sessions Total

Chart
Table

Application	Count	Total Duration	Average Duration
PostgreSQL JDBC Driver	394	2d20h42m22s	10m27s
[unknown]	1,704	5h12m46s	11s13ms
pg_dump	4	32m52s	8m13s
psql	340	18m22s	3s243ms

Checkpoints Buffers

Key values

3,069 buffers Checkpoint Peak
2023-12-25 06:09:57 Date
209.982 seconds Highest write time
0.006 seconds Sync time

Checkpoints Wal files

Key values

3 files Wal files usage Peak
2023-12-25 06:14:57 Date

Checkpoints distance

Key values

76.73 Mo Distance Peak
2023-12-25 06:14:57 Date

Checkpoints Activity

Day	Hour	Written buffers	Write time	Sync time	Total time
Dec 25	06	17,879	1,585.114s	0.036s	1,585.279s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
Dec 25	06	0	0	15	1,179	0.004s	0s

Day	Hour	Count	Avg time (sec)
Dec 25	06	0	0s

Day	Hour	Mean distance	Mean estimate
Dec 25	06	19,840.92 kB	33,135.58 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

98.22 MiB Temp Files size Peak
2023-12-25 06:40:06 Date

Number of temporary files

Key values

29 per second Temp Files Peak
2023-12-25 06:17:13 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
Dec 25	06	390	1.49 GiB	3.92 MiB

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Queries generating the most temporary files (N)

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	42	1.07 GiB	3.87 MiB	72.00 MiB	26.06 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: 2023-12-25 06:30:08 Duration: 5s366ms Database: acaweb_fx User: postgres Remote: 192.168.1.25 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: 2023-12-25 06:40:07 Duration: 5s205ms Database: acaweb_fx User: postgres Remote: 192.168.1.25 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: 2023-12-25 06:20:07 Duration: 4s961ms Database: acaweb_fx User: postgres Remote: 192.168.1.25 Application: [unknown]
2	40	153.02 MiB	3.05 MiB	4.58 MiB	3.83 MiB	with rar_max as ( ; WITH rar_max as ( ; Date: 2023-12-25 06:00:46 Duration: 0ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown]
3	4	279.40 MiB	69.85 MiB	69.85 MiB	69.85 MiB	select updateageforrelevantresults (); select updateageforrelevantresults (); Date: 2023-12-25 06:47:22 Duration: 19s704ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2023-12-25 06:17:20 Duration: 17s919ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2023-12-25 06:32:17 Duration: 15s122ms Database: acaweb_fx User: postgres Remote: [local] Application: psql

Queries generating the largest temporary files

Rank	Size	Query
1	72.00 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: 2023-12-25 06:30:05 ]
2	69.85 MiB	select updateageforrelevantresults (); [ Date: 2023-12-25 06:17:13 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	69.85 MiB	select updateageforrelevantresults (); [ Date: 2023-12-25 06:47:16 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
4	69.85 MiB	select updateageforrelevantresults (); [ Date: 2023-12-25 06:32:11 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
5	69.85 MiB	select updateageforrelevantresults (); [ Date: 2023-12-25 06:02:04 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
6	63.10 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: 2023-12-25 06:10:04 ]
7	63.02 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 = 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: 2023-12-25 06:00:04 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.25 - Application: [unknown] ]
8	57.49 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: 2023-12-25 06:40:05 ]
9	55.20 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: 2023-12-25 06:20:05 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.25 - Application: [unknown] ]
10	50.79 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: 2023-12-25 06:20:04 ]
11	44.81 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: 2023-12-25 06:50:04 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.25 - Application: [unknown] ]
12	43.05 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: 2023-12-25 06:10:04 ]
13	41.49 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: 2023-12-25 06:40:07 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.25 - Application: [unknown] ]
14	41.09 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: 2023-12-25 06:50:04 ]
15	38.56 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: 2023-12-25 06:30:06 ]
16	37.03 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: 2023-12-25 06:00:03 ]
17	33.98 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: 2023-12-25 06:10:05 ]
18	33.92 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: 2023-12-25 06:50:04 ]
19	33.22 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: 2023-12-25 06:40:06 ]
20	31.59 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: 2023-12-25 06:20:05 ]

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 (13) Main table analyzed (database acaweb_fx)
41 analyzes Total

Chart
Table

Table	Number of analyzes
acaweb_fx.public.solr_relevance_old	13
acaweb_fx.pg_catalog.pg_attribute	7
acaweb_fx.public.datafeeds_latestrun	6
acaweb_fx.pg_catalog.pg_type	4
acaweb_fx.pg_catalog.pg_class	4
acaweb_fx.public.latest_t15_candle_view	2
acaweb_fx.pg_catalog.pg_index	1
acaweb_fx.pg_catalog.pg_depend	1
acaweb_fx.public.latest_candle_datetime_per_receng	1
acaweb_fx.public.relevance_autochartist_results	1
acaweb_fx.public.relevance_fibonacci_results	1
Total	41

Vacuums per table

Key values

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

Chart
Table

		Index	Buffer usage			Skipped		WAL usage
Table	Vacuums	scans	hits	misses	dirtied	pins	frozen	records	full page	bytes
acaweb_fx.public.solr_relevance_old	13	13	12,803	0	47	0	0	9,281	1,900	8,318,039
acaweb_fx.public.datafeeds_latestrun	7	1	875	0	16	0	0	87	6	46,861
acaweb_fx.pg_catalog.pg_type	2	2	314	0	45	0	0	102	40	232,312
acaweb_fx.pg_catalog.pg_attribute	2	2	1,549	0	308	0	128	702	247	1,540,358
acaweb_fx.pg_catalog.pg_class	2	2	767	0	72	0	78	249	87	380,077
acaweb_fx.pg_toast.pg_toast_2619	1	1	125	0	39	0	0	108	36	130,410
acaweb_fx.pg_catalog.pg_index	1	1	91	0	14	0	0	29	12	91,061
acaweb_fx.pg_catalog.pg_statistic	1	1	747	0	214	0	678	341	173	716,596
acaweb_fx.public.latest_t15_candle_view	1	1	89	0	1	0	0	6	1	9,016
Total	30	24	17,360	1,754	756	0	884	10,905	2,502	11,464,730

Tuples removed per table

Key values

public.solr_relevance_old (61611) Main table with removed tuples on database acaweb_fx
65381 tuples Total removed

Chart
Table

		Index	Tuples			Pages
Table	Vacuums	scans	removed	remain	not yet removable	removed	remain
acaweb_fx.public.solr_relevance_old	13	13	61,611	94,312	0	0	3,263
acaweb_fx.pg_catalog.pg_attribute	2	2	2,208	18,728	252	0	484
acaweb_fx.pg_catalog.pg_statistic	1	1	521	4,632	180	0	1,194
acaweb_fx.pg_catalog.pg_class	2	2	451	3,956	0	0	300
acaweb_fx.public.datafeeds_latestrun	7	1	295	400	260	0	126
acaweb_fx.pg_catalog.pg_type	2	2	151	2,651	75	0	72
acaweb_fx.pg_toast.pg_toast_2619	1	1	80	167	1	0	52
acaweb_fx.public.latest_t15_candle_view	1	1	62	19	0	0	1
acaweb_fx.pg_catalog.pg_index	1	1	2	838	32	0	22
Total	30	24	65,381	125,703	800	0	5,514

Pages removed per table

Key values

unknown (0) Main table with removed pages on database unknown
0 pages Total removed

Chart
Table

Pages removed per tables

NO DATASET

Table	Number of vacuums	Index scans	Tuples removed
acaweb_fx.pg_toast.pg_toast_2619	1	1	80
acaweb_fx.pg_catalog.pg_index	1	1	2
acaweb_fx.pg_catalog.pg_type	2	2	151
acaweb_fx.public.datafeeds_latestrun	7	1	295
acaweb_fx.pg_catalog.pg_attribute	2	2	2208
acaweb_fx.pg_catalog.pg_statistic	1	1	521
acaweb_fx.public.latest_t15_candle_view	1	1	62
acaweb_fx.pg_catalog.pg_class	2	2	451
acaweb_fx.public.solr_relevance_old	13	13	61611
Total	30	24	65,381

Autovacuum Activity

Vacuums / Analyzes

Day	Hour	VACUUMs	ANALYZEs
Dec 25	06	30	41

↑ Back to the top of the Autovacuum Activity table

Locks by types

Key values

AccessShareLock Main Lock Type
21 locks Total

Chart
Table

Type	Object	Count	Total Duration	Average Duration (s)
AccessExclusiveLock		2	15m45s	7m52s
	relation	2	15m45s	7m52s
AccessShareLock		19	31m37s	1m39s
	relation	19	31m37s	1m39s
	Total	21	47m22s	2m15s

Most frequent waiting queries (N)

Rank	Count	Total time	Min time	Max time	Avg duration	Query
1	19	31m37s	1m30s	1m52s	1m39s	select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?; SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IQFEED_FX - 1'; Date: 2023-12-25 06:18:59 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'DKFX - 1'; Date: 2023-12-25 06:18:59 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; Date: 2023-12-25 06:18:59 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
2	1	13m47s	13m47s	13m47s	13m47s	truncate table solr_relevance_old; TRUNCATE TABLE solr_relevance_old; Date: 2023-12-25 06:18:58 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2023-12-25 06:46:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2023-12-25 06:33:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
3	1	1m57s	1m57s	1m57s	1m57s	refresh materialized view latest_candle_datetime_per_receng; refresh materialized view latest_candle_datetime_per_receng; Date: 2023-12-25 06:18:59 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2023-12-25 06:32:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2023-12-25 06:47:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql

Rank

Count

Total time

Min time

Max time

Avg duration

Query

1

19

31m37s

1m30s

1m52s

1m39s

select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?;

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

Date: 2023-12-25 06:18:59 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'DKFX - 1';

Date: 2023-12-25 06:18:59 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1';

Date: 2023-12-25 06:18:59 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]

2

1

13m47s

truncate table solr_relevance_old;

TRUNCATE TABLE solr_relevance_old;

Date: 2023-12-25 06:18:58 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2023-12-25 06:46:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2023-12-25 06:33:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql

3

1

1m57s

refresh materialized view latest_candle_datetime_per_receng;

refresh materialized view latest_candle_datetime_per_receng;

Date: 2023-12-25 06:18:59 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2023-12-25 06:32:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2023-12-25 06:47:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql

Queries that waited the most


[ Date: 2023-12-25 06:18:58 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2023-12-25 06:18:58 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Rank	Wait time	Query
1	13m47s	TRUNCATE TABLE solr_relevance_old; [ Date: 2023-12-25 06:18:58 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	1m57s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2023-12-25 06:18:58 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	1m52s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IQFEED_FX - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
4	1m51s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'DKFX - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
5	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
6	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GKFXPRIME - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
7	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
8	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
9	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'BDSWISS - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
10	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GO_MARKETS - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
11	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
12	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 2'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
13	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
14	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Forex4You - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
15	1m38s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'FPMARKETS - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
16	1m35s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'PEPPERSTONE - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
17	1m35s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
18	1m35s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
19	1m33s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ADSSECURITIES - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
20	1m30s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'VALBURYCAPITAL - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Queries by type

Key values

27,557 Total read queries
23,867 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	27,557	51.27%
INSERT	19,761	36.77%
UPDATE	585	1.09%
DELETE	13	0.02%
COPY FROM	78	0.15%
COPY TO	579	1.08%
CTE	2,192	4.08%
DDL	13	0.02%
TCL	646	1.20%
CURSOR	0	0.00%
OTHERS	2,323	4.32%

Queries by database

Key values

acaweb_fx Main database
49,749 Requests
2h9m13s (acaweb_fx)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	49,749	2h9m13s
	copy from	78	6s248ms
	copy to	303	13m48s
	cte	2,189	1h4m35s
	ddl	13	13m47s
	delete	13	16ms
	insert	19,761	20s28ms
	others	2,020	2m13s
	select	24,144	34m5s
	tcl	643	139ms
	update	585	16s695ms
acaweb_fx_integer	Total	3,584	18m39s
	copy to	276	18m39s
	cte	1	4ms
	others	285	14ms
	select	3,021	928ms
	tcl	1	0ms
postgres	Total	367	167ms
	cte	1	1ms
	others	9	0ms
	select	356	166ms
	tcl	1	0ms
translations	Total	47	118ms
	cte	1	1ms
	others	9	0ms
	select	36	116ms
	tcl	1	0ms

Queries by user

Key values

postgres Main user
53,747 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	53,747	2h27m53s
	copy from	78	6s248ms
	copy to	579	32m27s
	cte	2,192	1h4m35s
	ddl	13	13m47s
	delete	13	16ms
	insert	19,761	20s28ms
	others	2,323	2m13s
	select	27,557	34m6s
	tcl	646	139ms
	update	585	16s695ms

Duration by user

Key values

2h27m53s (postgres) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	53,747	2h27m53s
	copy from	78	6s248ms
	copy to	579	32m27s
	cte	2,192	1h4m35s
	ddl	13	13m47s
	delete	13	16ms
	insert	19,761	20s28ms
	others	2,323	2m13s
	select	27,557	34m6s
	tcl	646	139ms
	update	585	16s695ms

Queries by host

Key values

192.168.4.142 Main host
14,144 Requests
1h4m19s (127.0.0.1)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
127.0.0.1	Total	10,484	1h4m19s
	copy to	579	32m27s
	cte	25	149ms
	insert	160	448ms
	others	628	18ms
	select	9,039	31m51s
	tcl	4	0ms
	update	49	51ms
172.10.1.90	Total	56	111ms
	others	28	3ms
	select	24	29ms
	update	4	78ms
182.165.1.42	Total	120	6m20s
	cte	60	6m20s
	select	60	0ms
192.168.0.216	Total	596	403ms
	others	298	23ms
	select	290	302ms
	update	8	77ms
192.168.0.239	Total	16	31ms
	select	16	31ms
192.168.0.42	Total	418	1s715ms
	select	418	1s715ms
192.168.1.135	Total	24	135ms
	cte	3	88ms
	select	21	46ms
192.168.1.145	Total	6,441	18m16s
	cte	553	18m11s
	others	22	0ms
	select	5,866	5s485ms
192.168.1.20	Total	5,423	18m22s
	cte	555	18m18s
	others	62	0ms
	select	4,806	3s825ms
192.168.1.201	Total	488	3s283ms
	select	488	3s283ms
192.168.1.210	Total	84	29ms
	select	84	29ms
192.168.1.23	Total	2,993	13s399ms
	others	510	4ms
	select	2,483	13s394ms
192.168.1.239	Total	512	275ms
	others	256	19ms
	select	256	255ms
192.168.1.25	Total	68	26s603ms
	cte	6	26s563ms
	others	8	0ms
	select	54	40ms
192.168.1.250	Total	3,065	20m42s
	cte	895	20m40s
	others	140	1ms
	select	2,030	2s665ms
192.168.2.126	Total	88	58ms
	others	18	0ms
	select	70	58ms
192.168.2.182	Total	48	252ms
	others	24	1ms
	select	12	8ms
	update	12	241ms
192.168.2.205	Total	137	110ms
	insert	89	8ms
	others	24	1ms
	select	20	16ms
	update	4	83ms
192.168.2.82	Total	6,942	22s775ms
	insert	6,082	15s968ms
	others	112	9ms
	select	606	6s174ms
	update	142	623ms
192.168.3.199	Total	256	252ms
	others	128	10ms
	select	116	109ms
	update	12	133ms
192.168.4.142	Total	14,144	4s174ms
	insert	13,430	3s602ms
	select	714	571ms
192.168.4.150	Total	22	935ms
	others	21	0ms
	select	1	935ms
192.168.4.168	Total	60	1s410ms
	select	30	1s408ms
	tcl	30	1ms
192.168.4.219	Total	3	22ms
	cte	1	22ms
	others	2	0ms
192.168.4.238	Total	48	1s570ms
	cte	16	1s570ms
	others	32	0ms
192.168.4.98	Total	924	15s690ms
	others	6	14s980ms
	select	6	19ms
	tcl	612	138ms
	update	300	552ms
[local]	Total	287	18m19s
	copy from	78	6s248ms
	cte	78	36s979ms
	ddl	13	13m47s
	delete	13	16ms
	others	4	1m58s
	select	47	1m34s
	update	54	14s853ms

Queries by application

Key values

[unknown] Main application
27,038 Requests
57m42s (PostgreSQL JDBC Driver)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
PostgreSQL JDBC Driver	Total	18,683	57m42s
	cte	2,023	57m11s
	others	408	4ms
	select	16,252	31s472ms
[unknown]	Total	27,038	39m22s
	cte	66	6m47s
	insert	19,761	20s28ms
	others	1,322	15s53ms
	select	4,720	31m58s
	tcl	642	139ms
	update	527	1s835ms
pg_dump	Total	7,634	32m26s
	copy to	553	32m24s
	cte	4	10ms
	others	589	18ms
	select	6,484	1s902ms
	tcl	4	0ms
psql	Total	392	18m22s
	copy from	78	6s248ms
	copy to	26	2s384ms
	cte	99	37s118ms
	ddl	13	13m47s
	delete	13	16ms
	others	4	1m58s
	select	101	1m34s
	update	58	14s859ms

Number of cancelled queries

Key values

0 per second Cancelled query Peak
2023-12-25 06:54:38 Date

Number of cancelled queries (5 minutes period)

NO DATASET

Histogram of query times

Key values

39,573 0-1ms duration

Chart
Table

Range	Count	Percentage
0-1ms	39,573	73.63%
1-5ms	10,858	20.20%
5-10ms	619	1.15%
10-25ms	560	1.04%
25-50ms	495	0.92%
50-100ms	267	0.50%
100-500ms	441	0.82%
500-1000ms	107	0.20%
1000-10000ms	691	1.29%
> 10000ms	136	0.25%

Slowest individual queries


[ Date: 2023-12-25 06:18:58 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2023-12-25 06:31:07 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-12-25 06:07:44 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-12-25 06:13:39 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-12-25 06:21:10 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:35:18 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Rank	Duration	Query
1	13m47s	TRUNCATE TABLE solr_relevance_old; [ Date: 2023-12-25 06:18:58 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	2m42s	COPY public.researchreports (researchreportid, type, createddatetime, language, filename, xml) TO stdout; [ Date: 2023-12-25 06:31:07 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
3	2m42s	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: 2023-12-25 06:07:44 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
4	2m40s	COPY public.researchreports (researchreportid, type, createddatetime, language, filename, xml) TO stdout; [ Date: 2023-12-25 06:13:39 - 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: 2023-12-25 06:21:10 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
6	1m57s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
7	1m52s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IQFEED_FX - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
8	1m51s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'DKFX - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
9	1m50s	COPY public.t15_ps (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten) TO stdout; [ Date: 2023-12-25 06:35:18 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
10	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
11	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GKFXPRIME - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
12	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
13	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
14	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'BDSWISS - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
15	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'GO_MARKETS - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
16	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Forex4You - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
17	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
18	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
19	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 2'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
20	1m38s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'FPMARKETS - 1'; [ Date: 2023-12-25 06:18:59 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Time consuming queries


[ User: postgres - Total duration: 31m38s - Times executed: 2233 ]
[ User: postgres - Total duration: 25m28s - Times executed: 275 ]
[ User: postgres - Total duration: 22m1s - Times executed: 275 ]
[ User: postgres - Total duration: 13m47s - Times executed: 13 ]
[ User: postgres - Total duration: 7m53s - Times executed: 274 ]
[ User: postgres - Total duration: 5m22s - Times executed: 2 ]
[ User: postgres - Total duration: 4m53s - Times executed: 2 ]
[ User: postgres - Total duration: 3m19s - Times executed: 12 ]
[ User: postgres - Total duration: 3m9s - Times executed: 2 ]
[ User: postgres - Total duration: 2m52s - Times executed: 12 ]
[ User: postgres - Total duration: 2m15s - Times executed: 2 ]
[ User: postgres - Total duration: 2m2s - Times executed: 2 ]
[ User: postgres - Total duration: 1m58s - Times executed: 4 ]
[ User: postgres - Total duration: 1m50s - Times executed: 2 ]
[ User: postgres - Total duration: 1m44s - Times executed: 2 ]
[ User: postgres - Total duration: 1m37s - Times executed: 2 ]
[ User: postgres - Total duration: 1m35s - Times executed: 2 ]
[ User: postgres - Total duration: 1m10s - Times executed: 2 ]
[ User: postgres - Total duration: 1m - Times executed: 4 ]
[ User: postgres - Total duration: 52s938ms - Times executed: 119 ]

Most frequent queries (N)


[ User: postgres - Total duration: 32ms - Times executed: 7802 ]
[ User: postgres - Total duration: 2s220ms - Times executed: 5056 ]
[ User: postgres - Total duration: 517ms - Times executed: 4444 ]
[ User: postgres - Total duration: 3s527ms - Times executed: 3504 ]
[ User: postgres - Total duration: 368ms - Times executed: 3487 ]
[ User: postgres - Total duration: 5s155ms - Times executed: 2768 ]
[ User: postgres - Total duration: 31m38s - Times executed: 2233 ]
[ User: postgres - Total duration: 21ms - Times executed: 1512 ]
[ User: postgres - Total duration: 91ms - Times executed: 854 ]
[ User: postgres - Total duration: 3s276ms - Times executed: 846 ]
[ User: postgres - Total duration: 194ms - Times executed: 679 ]
[ User: postgres - Total duration: 69ms - Times executed: 583 ]
[ User: postgres - Total duration: 35ms - Times executed: 553 ]
[ User: postgres - Total duration: 248ms - Times executed: 510 ]
[ User: postgres - Total duration: 366ms - Times executed: 470 ]
[ User: postgres - Total duration: 9ms - Times executed: 433 ]
[ User: postgres - Total duration: 3ms - Times executed: 433 ]
[ User: postgres - Total duration: 314ms - Times executed: 429 ]
[ User: postgres - Total duration: 58ms - Times executed: 429 ]
[ User: postgres - Total duration: 4ms - Times executed: 407 ]

Normalized slowest queries (N)


[ User: postgres - Total duration: 5m22s - Times executed: 2 ]
[ User: postgres - Total duration: 4m53s - Times executed: 2 ]
[ User: postgres - Total duration: 3m9s - Times executed: 2 ]
[ User: postgres - Total duration: 2m15s - Times executed: 2 ]
[ User: postgres - Total duration: 13m47s - Times executed: 13 ]
[ User: postgres - Total duration: 2m2s - Times executed: 2 ]
[ User: postgres - Total duration: 1m50s - Times executed: 2 ]
[ User: postgres - Total duration: 1m44s - Times executed: 2 ]
[ User: postgres - Total duration: 1m37s - Times executed: 2 ]
[ User: postgres - Total duration: 1m35s - Times executed: 2 ]
[ User: postgres - Total duration: 1m10s - Times executed: 2 ]
[ User: postgres - Total duration: 1m58s - Times executed: 4 ]
[ User: postgres - Total duration: 3m19s - Times executed: 12 ]
[ User: postgres - Total duration: 1m - Times executed: 4 ]
[ User: postgres - Total duration: 2m52s - Times executed: 12 ]
[ User: postgres - Total duration: 25m28s - Times executed: 275 ]
[ User: postgres - Total duration: 22m1s - Times executed: 275 ]
[ User: postgres - Total duration: 7m53s - Times executed: 274 ]
[ User: postgres - Total duration: 31m38s - Times executed: 2233 ]
[ User: postgres - Total duration: 52s938ms - Times executed: 119 ]

Time consuming prepare


[ User: postgres - Total duration: 20m59s - Times executed: 597 ]
[ User: postgres - Total duration: 1s377ms - Times executed: 1161 ]
[ User: postgres - Total duration: 517ms - Times executed: 4444 ]
[ User: postgres - Total duration: 368ms - Times executed: 3487 ]
[ User: postgres - Total duration: 444ms - Times executed: 242 ]
[ User: postgres - Total duration: 2s110ms - Times executed: 681 ]
[ User: postgres - Total duration: 1s570ms - Times executed: 16 ]
[ User: postgres - Total duration: 95ms - Times executed: 15 ]
[ User: postgres - Total duration: 15ms - Times executed: 30 ]
[ User: postgres - Total duration: 8ms - Times executed: 15 ]
[ User: postgres - Total duration: 149ms - Times executed: 30 ]
[ User: postgres - Total duration: 30ms - Times executed: 15 ]
[ User: postgres - Total duration: 3ms - Times executed: 433 ]
[ User: postgres - Total duration: 33ms - Times executed: 15 ]
[ User: postgres - Total duration: 25ms - Times executed: 15 ]
[ User: postgres - Total duration: 28ms - Times executed: 18 ]
[ User: postgres - Total duration: 27ms - Times executed: 15 ]
[ User: postgres - Total duration: 331ms - Times executed: 29 ]
[ User: postgres - Total duration: 76ms - Times executed: 15 ]
[ User: postgres - Total duration: 7ms - Times executed: 15 ]

Time consuming bind


[ User: postgres - Total duration: 1h2m29s - Times executed: 1920 ]
[ User: postgres - Total duration: 11s637ms - Times executed: 7227 ]
[ User: postgres - Total duration: 1s570ms - Times executed: 16 ]
[ User: postgres - Total duration: 52s486ms - Times executed: 118 ]
[ User: postgres - Total duration: 337ms - Times executed: 30 ]
[ User: postgres - Total duration: 149ms - Times executed: 30 ]
[ User: postgres - Total duration: 15ms - Times executed: 30 ]
[ User: postgres - Total duration: 8ms - Times executed: 15 ]
[ User: postgres - Total duration: 95ms - Times executed: 15 ]
[ User: postgres - Total duration: 30ms - Times executed: 15 ]
[ User: postgres - Total duration: 33ms - Times executed: 15 ]
[ User: postgres - Total duration: 331ms - Times executed: 30 ]
[ User: postgres - Total duration: 25ms - Times executed: 15 ]
[ User: postgres - Total duration: 5ms - Times executed: 15 ]
[ User: postgres - Total duration: 158ms - Times executed: 30 ]
[ User: postgres - Total duration: 8ms - Times executed: 15 ]
[ User: postgres - Total duration: 14ms - Times executed: 15 ]
[ User: postgres - Total duration: 415ms - Times executed: 18 ]
[ User: postgres - Total duration: 1s609ms - Times executed: 30 ]
[ User: postgres - Total duration: 814ms - Times executed: 30 ]

Log levels

Key values

158,157 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	228	0.14%
DETAIL	48,443	30.63%
ERROR	20	0.01%
LOG	109,081	68.97%
STATEMENT	385	0.24%

Events distribution

Key values

0 PANIC entries
0 FATAL entries
26 ERROR entries
0 WARNING entries

Most Frequent Errors/Events

Key values

23 Max number of times the same event was reported
26 Total events found

Rank

Times reported

Error

1

23

Details

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

Times Reported Most Frequent Error / Event #1

Day	Hour	Count
Dec 25	06	23

LOG: process 4873 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.046 ms at character 28
LOG: process 27044 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.046 ms at character 28
LOG: process 26566 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.063 ms at character 28

2

3

Details

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

Times Reported Most Frequent Error / Event #2

Day	Hour	Count
Dec 25	06	3

LOG: process 27559 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 1000.044 ms
LOG: process 27559 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 51774.904 ms
LOG: process 28991 still waiting for AccessExclusiveLock on relation 5894441 of database 5881926 after 1000.041 ms

Global information

Overview

Global Stats

SQL Traffic

Key values

SELECT Traffic

Key values

INSERT/UPDATE/DELETE Traffic

Key values

Queries duration

Key values

Prepared queries ratio

Key values

General Activity

Connections

Established Connections

Key values

Connections per database

Key values

Connections per user

Key values

Connections per host

Key values

Sessions

Simultaneous sessions

Key values

Histogram of session times

Key values

Sessions per database

Key values

Sessions per user

Key values

Sessions per host

Key values

Sessions per application

Key values

Checkpoints / Restartpoints

Checkpoints Buffers

Key values

Checkpoints Wal files

Key values

Checkpoints distance

Key values

Checkpoints Activity

Checkpoint causes

Key values

Temporary Files

Size of temporary files

Key values

Number of temporary files

Key values

Temporary Files Activity

Queries generating the most temporary files (N)

Queries generating the largest temporary files

Vacuums

Vacuums / Analyzes Distribution

Key values

Analyzes per table

Key values

Vacuums per table

Key values

Tuples removed per table

Key values

Pages removed per table

Key values

Pages removed per tables

Autovacuum Activity

Locks

Locks by types

Key values

Most frequent waiting queries (N)

Queries that waited the most

Queries

Queries by type

Key values

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