pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Tue Nov 21 04:59:47 2023
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2023-11-21_060000.log
Parsed 1,474,941 log entries in 46s
Log start from 2023-11-21 06:00:00 to 2023-11-21 06:59:45

Global Stats

937 Number of unique normalized queries
105,259 Number of queries
2h21m2s Total query duration
2023-11-21 06:00:00 First query
2023-11-21 06:59:45 Last query
3,741 queries/s at 2023-11-21 06:45:04 Query peak

2h21m2s Total query duration
6s92ms Prepare/parse total duration
1m7s Bind total duration
2h19m48s Execute total duration

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

38 Total number of automatic vacuums
57 Total number of automatic analyzes

428 Number temporary file
70.94 MiB Max size of temporary file
3.83 MiB Average size of temporary file

3,346 Total number of sessions
13 sessions at 2023-11-21 06:56:13 Session peak
2d8h33m6s Total duration of sessions
1m Average duration of sessions
31 Average queries per session
2s529ms Average queries duration per session
58s315ms Average idle time per session

3,346 Total number of connections
36 connections/s at 2023-11-21 06:40:01 Connection peak
4 Total number of databases

SQL Traffic

Key values

3,741 queries/s Query Peak
2023-11-21 06:45:04 Date

SELECT Traffic

Key values

3,682 queries/s Query Peak
2023-11-21 06:45:04 Date

INSERT/UPDATE/DELETE Traffic

Key values

166 queries/s Query Peak
2023-11-21 06:17:19 Date

Queries duration

Key values

2h21m2s 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)
Nov 21	06	105,259	0ms	14m	79ms	3m47s	4m23s	29m52s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Nov 21	06	70,337	579	42ms	1m12s	2m5s	2m43s

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Nov 21	06	25,121	2,342	13	78	1ms	564ms	1s49ms	2s159ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
Nov 21	06	20,787	82,387	3.96	20.26%

Day	Hour	Count	Average / Second
Nov 21	06	3,346	0.93/s

Day	Hour	Count	Average Duration	Average idle time
Nov 21	06	3,346	1m	58s337ms

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Established Connections

Key values

36 connections Connection Peak
2023-11-21 06:40:01 Date

Connections per database

Key values

acaweb_fx Main Database
3,346 connections Total

Chart
Table

Database	User	Count
acaweb_fx		3,341
	pg_dump	1
	postgres	2,994
	psql	346
acaweb_fx_integer		1
	pg_dump	1
postgres		3
	pg_dump	1
	psql	2
translations		1
	pg_dump	1

Connections per user

Key values

postgres Main User
3,346 connections Total

Chart
Table

User	Count
pg_dump	4
postgres	2,994
psql	348

Connections per host

Key values

192.168.4.142 Main host with 1551 connections
3,346 Total connections

Chart
Table

Host	Count
127.0.0.1	122
172.10.1.90	12
182.165.1.42	8
192.168.0.216	125
192.168.0.42	156
192.168.1.145	81
192.168.1.20	91
192.168.1.23	28
192.168.1.231	20
192.168.1.239	35
192.168.1.25	61
192.168.1.250	280
192.168.2.126	70
192.168.2.182	12
192.168.2.205	14
192.168.2.82	48
192.168.3.199	60
192.168.4.113	4
192.168.4.142	1,551
192.168.4.150	10
192.168.4.165	4
192.168.4.238	12
192.168.4.65	1
192.168.4.98	306
[local]	235

Simultaneous sessions

Key values

13 sessions Session Peak
2023-11-21 06:56:13 Date

Histogram of session times

Key values

2,807 0-500ms duration

Chart
Table

Range	Count	Percentage
0ms-500ms	2,807	83.89%
500ms-1s	165	4.93%
1s-30s	228	6.81%
30s-1m	15	0.45%
1m-10m	44	1.32%
10m-30m	74	2.21%
30m-1h	1	0.03%
1h-8h	12	0.36%
> 8h	0	0.00%

Sessions per database

Key values

acaweb_fx Main Database
3,346 sessions Total

Chart
Table

Database	User	Count	Total Duration
acaweb_fx	3,341	2d8h14m14s	1m
acaweb_fx_integer	1	18m51s	18m51s
postgres	3	202ms	67ms
translations	1	129ms	129ms

Sessions per user

Key values

postgres Main User
3,346 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
3,346 sessions Total

Chart
Table

Host	Count	Total Duration	Average Duration
127.0.0.1	122	58m13s	28s636ms
172.10.1.90	12	7s320ms	610ms
182.165.1.42	8	1h11m13s	8m54s
192.168.0.216	125	2m42s	1s297ms
192.168.0.42	156	1h52m7s	43s126ms
192.168.1.145	81	2h48m10s	2m4s
192.168.1.20	91	12h33m39s	8m16s
192.168.1.23	28	40m	1m25s
192.168.1.231	20	9h50m52s	29m32s
192.168.1.239	35	157ms	4ms
192.168.1.25	61	33s177ms	543ms
192.168.1.250	280	5h2m35s	1m4s
192.168.2.126	70	5s635ms	80ms
192.168.2.182	12	2s650ms	220ms
192.168.2.205	14	1h	4m17s
192.168.2.82	48	2s397ms	49ms
192.168.3.199	60	1s980ms	33ms
192.168.4.113	4	56ms	14ms
192.168.4.142	1,551	9m6s	352ms
192.168.4.150	10	20h3m46s	2h22s
192.168.4.165	4	44ms	11ms
192.168.4.238	12	3s255ms	271ms
192.168.4.65	1	177ms	177ms
192.168.4.98	306	22s939ms	74ms
[local]	235	19m19s	4s932ms

Sessions per application

Key values

[unknown] Main Host
3,346 sessions Total

Chart
Table

Application	Count	Total Duration	Average Duration
PostgreSQL JDBC Driver	687	2d4h51m14s	4m36s
[unknown]	2,307	2h49m18s	4s403ms
pg_dump	4	33m1s	8m15s
psql	348	19m30s	3s364ms

Checkpoints Buffers

Key values

12,124 buffers Checkpoint Peak
2023-11-21 06:08:39 Date
209.847 seconds Highest write time
0.013 seconds Sync time

Checkpoints Wal files

Key values

7 files Wal files usage Peak
2023-11-21 06:08:39 Date

Checkpoints distance

Key values

228.89 Mo Distance Peak
2023-11-21 06:13:39 Date

Checkpoints Activity

Day	Hour	Written buffers	Write time	Sync time	Total time
Nov 21	06	32,187	1,854.323s	0.045s	1,854.545s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
Nov 21	06	0	0	30	1,879	0.003s	0s

Day	Hour	Count	Avg time (sec)
Nov 21	06	0	0s

Day	Hour	Mean distance	Mean estimate
Nov 21	06	41,293.08 kB	85,834.33 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

99.05 MiB Temp Files size Peak
2023-11-21 06:50:04 Date

Number of temporary files

Key values

30 per second Temp Files Peak
2023-11-21 06:02:11 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
Nov 21	06	428	1.60 GiB	3.83 MiB

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Queries generating the most temporary files (N)

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	61	296.60 MiB	4.38 MiB	7.42 MiB	4.86 MiB	with rar_max as ( ; WITH rar_max as ( ; Date: 2023-11-21 06:00:10 Duration: 0ms Database: acaweb_fx User: postgres Remote: 192.168.1.250 Application: PostgreSQL JDBC Driver
2	41	1.03 GiB	6.47 MiB	62.55 MiB	25.74 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: 2023-11-21 06:30:09 Duration: 6s248ms 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: 2023-11-21 06:00:08 Duration: 6s92ms 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: 2023-11-21 06:20:08 Duration: 5s590ms Database: acaweb_fx User: postgres Remote: 192.168.1.25 Application: [unknown]
3	4	283.41 MiB	70.81 MiB	70.94 MiB	70.85 MiB	select updateageforrelevantresults (); select updateageforrelevantresults (); Date: 2023-11-21 06:32:33 Duration: 31s44ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2023-11-21 06:17:31 Duration: 29s480ms Database: acaweb_fx User: postgres Remote: [local] Application: psql select updateageforrelevantresults (); Date: 2023-11-21 06:47:30 Duration: 27s701ms Database: acaweb_fx User: postgres Remote: [local] Application: psql
4	1	4.41 MiB	4.41 MiB	4.41 MiB	4.41 MiB	select resultuid from relevance_keylevels_results order by resultuid desc limit ?), kr as ( select a., rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end), all_results as ( select kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?)), results as ( select distinct on (symbolid) from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc; SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1), kr AS ( SELECT a., rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322, $323)) AND ($324 = 0 OR p.patternname in ($325)) AND ($326 = 0 OR kr.patternclassid in ($327, $328)) AND ($329 = 0 OR kr.patternlengthbars <= $330)), results AS ( SELECT DISTINCT ON (symbolid) FROM all_results WHERE (FALSE = $331 OR relevant = 1) AND ($332 = 0 OR age <= $333) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC; Date: 2023-11-21 06:45:32 Duration: 0ms Database: acaweb_fx User: postgres Remote: 182.165.1.42 Application: [unknown]

Queries generating the largest temporary files

Rank	Size	Query
1	70.94 MiB	select updateageforrelevantresults (); [ Date: 2023-11-21 06:17:20 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	70.84 MiB	select updateageforrelevantresults (); [ Date: 2023-11-21 06:47:19 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	70.82 MiB	select updateageforrelevantresults (); [ Date: 2023-11-21 06:32:21 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
4	70.81 MiB	select updateageforrelevantresults (); [ Date: 2023-11-21 06:02:06 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
5	62.55 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: 2023-11-21 06:30:07 ]
6	53.23 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: 2023-11-21 06:20:05 ]
7	50.75 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: 2023-11-21 06:00:04 ]
8	48.64 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: 2023-11-21 06:00:04 ]
9	48.60 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: 2023-11-21 06:10:05 ]
10	46.57 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: 2023-11-21 06:40:05 ]
11	43.48 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: 2023-11-21 06:20:06 ]
12	43.07 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: 2023-11-21 06:30:07 ]
13	40.57 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: 2023-11-21 06:50:03 ]
14	39.03 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: 2023-11-21 06:10:06 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.25 - Application: [unknown] ]
15	37.91 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: 2023-11-21 06:50:03 ]
16	37.50 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: 2023-11-21 06:40:06 ]
17	36.69 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: 2023-11-21 06:20:06 ]
18	36.59 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: 2023-11-21 06:30:07 ]
19	35.00 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: 2023-11-21 06:10:05 ]
20	34.52 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: 2023-11-21 06:40:07 - Database: acaweb_fx - User: postgres - Remote: 192.168.1.25 - Application: [unknown] ]

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)
57 analyzes Total

Chart
Table

Table	Number of analyzes
acaweb_fx.public.solr_relevance_old	13
acaweb_fx.pg_catalog.pg_attribute	6
acaweb_fx.public.datafeeds_latestrun	4
acaweb_fx.public.relevance_keylevels_results	4
acaweb_fx.pg_catalog.pg_class	4
acaweb_fx.public.relevance_fibonacci_results	4
acaweb_fx.pg_catalog.pg_type	4
acaweb_fx.public.relevance_autochartist_results	4
acaweb_fx.public.autochartist_symbolupdates	2
acaweb_fx.pg_catalog.pg_depend	2
acaweb_fx.public.latest_t15_candle_view	2
acaweb_fx.public.relevance_bigmovement_results	2
acaweb_fx.pg_catalog.pg_index	1
acaweb_fx.public.solr_imports	1
acaweb_fx.public.latest_candle_datetime_per_receng	1
acaweb_fx.public.patternresultsage	1
acaweb_fx.public.relevance_consecutivecandles_results	1
acaweb_fx.public.symbollatestupdatetime	1
Total	57

Vacuums per table

Key values

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

Chart
Table

		Index	Buffer usage			Skipped		WAL usage
Table	Vacuums	scans	hits	misses	dirtied	pins	frozen	records	full page	bytes
acaweb_fx.public.solr_relevance_old	14	13	14,501	0	42	0	0	10,479	13	1,874,604
acaweb_fx.public.datafeeds_latestrun	4	0	474	0	11	0	0	68	9	61,285
acaweb_fx.public.relevance_autochartist_results	3	3	10,720	0	804	2	558	1,945	1,032	2,643,248
acaweb_fx.public.relevance_fibonacci_results	3	3	3,970	0	98	2	123	577	48	201,941
acaweb_fx.pg_toast.pg_toast_2619	2	2	253	0	49	0	0	172	40	182,841
acaweb_fx.pg_catalog.pg_type	2	2	306	0	46	0	0	101	37	229,222
acaweb_fx.pg_catalog.pg_attribute	2	2	1,634	0	342	0	128	764	271	1,645,638
acaweb_fx.public.relevance_keylevels_results	2	2	7,913	0	743	0	180	2,227	599	1,634,350
acaweb_fx.public.autochartist_symbolupdates	1	1	6,472	0	1,119	0	10,082	3,548	1,104	818,134
acaweb_fx.pg_catalog.pg_statistic	1	1	835	0	187	0	669	486	179	707,188
acaweb_fx.public.solr_imports	1	1	41	0	3	0	0	6	2	14,025
acaweb_fx.public.relevance_bigmovement_results	1	1	206	0	21	0	0	75	16	110,434
acaweb_fx.public.latest_t15_candle_view	1	1	89	0	1	0	0	6	1	9,070
acaweb_fx.pg_catalog.pg_class	1	1	391	0	45	0	39	128	45	195,732
Total	38	33	47,805	29,483	3,511	4	11,779	20,582	3,396	10,327,712

Tuples removed per table

Key values

public.solr_relevance_old (85362) Main table with removed tuples on database acaweb_fx
101112 tuples Total removed

Chart
Table

		Index	Tuples			Pages
Table	Vacuums	scans	removed	remain	not yet removable	removed	remain
acaweb_fx.public.solr_relevance_old	14	13	85,362	118,328	8,831	0	3,760
acaweb_fx.public.autochartist_symbolupdates	1	1	4,575	47,132	0	0	11,334
acaweb_fx.public.relevance_keylevels_results	2	2	3,771	25,658	0	0	596
acaweb_fx.pg_catalog.pg_attribute	2	2	3,023	18,476	0	0	484
acaweb_fx.public.relevance_autochartist_results	3	3	2,074	27,375	1,306	0	1,140
acaweb_fx.pg_catalog.pg_statistic	1	1	677	4,232	0	0	1,194
acaweb_fx.public.relevance_fibonacci_results	3	3	546	4,803	329	0	306
acaweb_fx.public.datafeeds_latestrun	4	0	250	98	18	0	72
acaweb_fx.pg_catalog.pg_type	2	2	237	2,615	39	0	72
acaweb_fx.pg_catalog.pg_class	1	1	204	1,978	0	0	150
acaweb_fx.public.relevance_bigmovement_results	1	1	149	1,594	0	0	33
acaweb_fx.pg_toast.pg_toast_2619	2	2	121	390	53	0	102
acaweb_fx.public.latest_t15_candle_view	1	1	71	19	0	0	1
acaweb_fx.public.solr_imports	1	1	52	1	0	0	1
Total	38	33	101,112	252,699	10,576	0	19,245

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	121
acaweb_fx.pg_catalog.pg_type	2	2	237
acaweb_fx.public.datafeeds_latestrun	4	0	250
acaweb_fx.public.autochartist_symbolupdates	1	1	4575
acaweb_fx.pg_catalog.pg_statistic	1	1	677
acaweb_fx.pg_catalog.pg_attribute	2	2	3023
acaweb_fx.public.solr_imports	1	1	52
acaweb_fx.public.relevance_bigmovement_results	1	1	149
acaweb_fx.public.latest_t15_candle_view	1	1	71
acaweb_fx.public.relevance_keylevels_results	2	2	3771
acaweb_fx.pg_catalog.pg_class	1	1	204
acaweb_fx.public.relevance_autochartist_results	3	3	2074
acaweb_fx.public.solr_relevance_old	14	13	85362
acaweb_fx.public.relevance_fibonacci_results	3	3	546
Total	38	33	101,112

Autovacuum Activity

Vacuums / Analyzes

Day	Hour	VACUUMs	ANALYZEs
Nov 21	06	38	57

↑ Back to the top of the Autovacuum Activity table

Locks by types

Key values

AccessShareLock Main Lock Type
8 locks Total

Chart
Table

Type	Object	Count	Total Duration	Average Duration (s)
AccessExclusiveLock		2	16m11s	8m5s
	relation	2	16m11s	8m5s
AccessShareLock		6	12m1s	2m
	relation	6	12m1s	2m
	Total	8	28m12s	3m31s

Most frequent waiting queries (N)

Rank	Count	Total time	Min time	Max time	Avg duration	Query
1	1	14m	14m	14m	14m	truncate table solr_relevance_old; TRUNCATE TABLE solr_relevance_old; Date: 2023-11-21 06:19:12 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2023-11-21 06:26:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql TRUNCATE TABLE solr_relevance_old; Date: 2023-11-21 06:01:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
2	6	12m1s	1m41s	2m10s	2m	select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?; SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 1'; Date: 2023-11-21 06:19:12 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 1'; Date: 2023-11-21 06:19:12 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown] SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 2'; Date: 2023-11-21 06:19:12 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
3	1	2m10s	2m10s	2m10s	2m10s	refresh materialized view latest_candle_datetime_per_receng; refresh materialized view latest_candle_datetime_per_receng; Date: 2023-11-21 06:19:12 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2023-11-21 06:32:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql refresh materialized view latest_candle_datetime_per_receng; Date: 2023-11-21 06:47:01 Database: acaweb_fx User: postgres Remote: [local] Application: psql

Rank

Count

Total time

Min time

Max time

Avg duration

Query

1

14m

truncate table solr_relevance_old;

TRUNCATE TABLE solr_relevance_old;

Date: 2023-11-21 06:19:12 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2023-11-21 06:26:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql
TRUNCATE TABLE solr_relevance_old;

Date: 2023-11-21 06:01:11 Database: acaweb_fx User: postgres Remote: [local] Application: psql

2

6

12m1s

1m41s

2m10s

2m

select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?;

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

Date: 2023-11-21 06:19:12 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 1';

Date: 2023-11-21 06:19:12 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 2';

Date: 2023-11-21 06:19:12 Database: acaweb_fx User: postgres Remote: 127.0.0.1 Application: [unknown]

3

1

2m10s

refresh materialized view latest_candle_datetime_per_receng;

refresh materialized view latest_candle_datetime_per_receng;

Date: 2023-11-21 06:19:12 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2023-11-21 06:32:02 Database: acaweb_fx User: postgres Remote: [local] Application: psql
refresh materialized view latest_candle_datetime_per_receng;

Date: 2023-11-21 06:47:01 Database: acaweb_fx User: postgres Remote: [local] Application: psql

Queries that waited the most


[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Rank	Wait time	Query
1	14m	TRUNCATE TABLE solr_relevance_old; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	2m10s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
3	2m10s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 1'; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
4	2m5s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 1'; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
5	2m5s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 2'; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
6	2m4s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ADSSECURITIES - 1'; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
7	1m55s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'DKFX - 1'; [ Date: 2023-11-21 06:19:12 - 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 'XM - 2'; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]

Queries by type

Key values

70,337 Total read queries
32,288 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	70,337	66.82%
INSERT	25,121	23.87%
UPDATE	2,342	2.22%
DELETE	13	0.01%
COPY FROM	78	0.07%
COPY TO	579	0.55%
CTE	3,526	3.35%
DDL	13	0.01%
TCL	616	0.59%
CURSOR	0	0.00%
OTHERS	2,634	2.50%

Queries by database

Key values

acaweb_fx Main database
101,261 Requests
2h1m12s (acaweb_fx)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	101,261	2h1m12s
	copy from	78	6s246ms
	copy to	303	14m10s
	cte	3,523	1h12m50s
	ddl	13	14m
	delete	13	16ms
	insert	25,121	20s506ms
	others	2,331	2m30s
	select	66,924	16m57s
	tcl	613	143ms
	update	2,342	16s381ms
acaweb_fx_integer	Total	3,584	18m36s
	copy to	276	18m35s
	cte	1	4ms
	others	285	13ms
	select	3,021	920ms
	tcl	1	0ms
postgres	Total	367	180ms
	cte	1	1ms
	others	9	0ms
	select	356	178ms
	tcl	1	0ms
translations	Total	47	123ms
	cte	1	1ms
	others	9	0ms
	select	36	121ms
	tcl	1	0ms

Queries by user

Key values

postgres Main user
105,259 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	105,259	2h19m48s
	copy from	78	6s246ms
	copy to	579	32m45s
	cte	3,526	1h12m50s
	ddl	13	14m
	delete	13	16ms
	insert	25,121	20s506ms
	others	2,634	2m30s
	select	70,337	16m58s
	tcl	616	143ms
	update	2,342	16s381ms

Duration by user

Key values

2h19m48s (postgres) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	105,259	2h19m48s
	copy from	78	6s246ms
	copy to	579	32m45s
	cte	3,526	1h12m50s
	ddl	13	14m
	delete	13	16ms
	insert	25,121	20s506ms
	others	2,634	2m30s
	select	70,337	16m58s
	tcl	616	143ms
	update	2,342	16s381ms

Queries by host

Key values

192.168.1.145 Main host
25,988 Requests
45m36s (127.0.0.1)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
127.0.0.1	Total	20,263	45m36s
	copy to	579	32m45s
	cte	24	241ms
	insert	9,308	8s112ms
	others	604	17ms
	select	7,855	12m41s
	tcl	4	0ms
	update	1,889	1s147ms
172.10.1.90	Total	48	116ms
	others	24	2ms
	select	20	21ms
	update	4	91ms
182.165.1.42	Total	268	2m30s
	cte	76	2m30s
	others	8	0ms
	select	184	708ms
192.168.0.216	Total	500	353ms
	others	250	18ms
	select	242	209ms
	update	8	125ms
192.168.0.23	Total	114	395ms
	select	114	395ms
192.168.0.236	Total	28	21ms
	cte	3	1ms
	select	25	20ms
192.168.0.42	Total	2,779	11s74ms
	cte	5	19ms
	insert	133	29ms
	others	312	3ms
	select	2,329	11s22ms
192.168.1.135	Total	280	989ms
	cte	12	503ms
	select	268	485ms
192.168.1.145	Total	25,988	24m50s
	cte	673	24m11s
	others	162	1ms
	select	25,153	39s18ms
192.168.1.20	Total	20,148	14m48s
	cte	506	14m19s
	others	182	2ms
	select	19,460	28s816ms
192.168.1.201	Total	1,144	3s886ms
	select	1,144	3s886ms
192.168.1.210	Total	6	1ms
	select	6	1ms
192.168.1.23	Total	4,523	24s812ms
	cte	11	87ms
	others	56	0ms
	select	4,456	24s724ms
192.168.1.231	Total	40	0ms
	others	40	0ms
192.168.1.239	Total	140	70ms
	others	70	5ms
	select	70	65ms
192.168.1.25	Total	70	31s745ms
	cte	6	31s698ms
	others	9	0ms
	select	54	46ms
	update	1	0ms
192.168.1.250	Total	9,696	30m50s
	cte	2,117	30m44s
	others	560	5ms
	select	7,019	6s185ms
192.168.1.93	Total	2	0ms
	select	2	0ms
192.168.1.97	Total	22	49ms
	cte	2	0ms
	select	20	49ms
192.168.2.126	Total	88	67ms
	others	18	0ms
	select	70	66ms
192.168.2.182	Total	48	237ms
	others	24	2ms
	select	12	9ms
	update	12	226ms
192.168.2.205	Total	142	122ms
	insert	89	11ms
	others	26	2ms
	select	23	29ms
	update	4	78ms
192.168.2.82	Total	395	878ms
	insert	123	294ms
	others	96	8ms
	select	118	76ms
	update	58	499ms
192.168.3.199	Total	240	206ms
	others	120	8ms
	select	108	86ms
	update	12	111ms
192.168.4.113	Total	12	21ms
	others	8	0ms
	select	4	20ms
192.168.4.142	Total	16,991	13s228ms
	insert	15,468	12s59ms
	select	1,523	1s169ms
192.168.4.150	Total	22	2s951ms
	others	21	0ms
	select	1	2s950ms
192.168.4.165	Total	12	13ms
	others	8	0ms
	select	4	13ms
192.168.4.238	Total	36	1s477ms
	cte	12	1s477ms
	others	24	0ms
192.168.4.65	Total	3	49ms
	cte	1	49ms
	others	2	0ms
192.168.4.98	Total	924	19s498ms
	others	6	18s701ms
	select	6	20ms
	tcl	612	143ms
	update	300	632ms
[local]	Total	287	19m18s
	copy from	78	6s246ms
	cte	78	29s939ms
	ddl	13	14m
	delete	13	16ms
	others	4	2m11s
	select	47	2m16s
	update	54	13s467ms

Queries by application

Key values

PostgreSQL JDBC Driver Main application
64,136 Requests
1h11m15s (PostgreSQL JDBC Driver)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
PostgreSQL JDBC Driver	Total	64,136	1h11m15s
	cte	3,337	1h9m17s
	insert	133	29ms
	others	693	8ms
	select	59,973	1m57s
[unknown]	Total	33,089	16m26s
	cte	87	3m1s
	insert	24,988	20s476ms
	others	1,348	18s755ms
	select	3,779	12m42s
	tcl	612	143ms
	update	2,275	2s894ms
pg_dump	Total	7,634	32m36s
	copy to	553	32m34s
	cte	4	11ms
	others	589	16ms
	select	6,484	1s925ms
	tcl	4	0ms
psql	Total	400	19m30s
	copy from	78	6s246ms
	copy to	26	10s961ms
	cte	98	30s168ms
	ddl	13	14m
	delete	13	16ms
	others	4	2m11s
	select	101	2m16s
	update	67	13s487ms

Number of cancelled queries

Key values

0 per second Cancelled query Peak
2023-11-21 06:32:02 Date

Number of cancelled queries (5 minutes period)

NO DATASET

Histogram of query times

Key values

67,621 0-1ms duration

Chart
Table

Range	Count	Percentage
0-1ms	67,621	64.24%
1-5ms	31,796	30.21%
5-10ms	2,392	2.27%
10-25ms	956	0.91%
25-50ms	420	0.40%
50-100ms	449	0.43%
100-500ms	511	0.49%
500-1000ms	202	0.19%
1000-10000ms	783	0.74%
> 10000ms	129	0.12%

Slowest individual queries


[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2023-11-21 06:13:38 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-11-21 06:31:19 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-11-21 06:07:38 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-11-21 06:21:24 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-11-21 06:35:32 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
[ Date: 2023-11-21 06:24:19 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-11-21 06:17:17 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-11-21 06:14:52 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-11-21 06:22:41 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-11-21 06:10:52 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-11-21 06:28:35 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
[ Date: 2023-11-21 06:27:27 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Rank	Duration	Query
1	14m	TRUNCATE TABLE solr_relevance_old; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
2	2m42s	COPY public.researchreports (researchreportid, type, createddatetime, language, filename, xml) TO stdout; [ Date: 2023-11-21 06:13:38 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
3	2m40s	COPY public.researchreports (researchreportid, type, createddatetime, language, filename, xml) TO stdout; [ Date: 2023-11-21 06:31:19 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
4	2m35s	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: 2023-11-21 06:07:38 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
5	2m11s	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: 2023-11-21 06:21:24 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
6	2m11s	refresh materialized view latest_candle_datetime_per_receng; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: [local] - Application: psql ]
7	2m10s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 1'; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
8	2m5s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 1'; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
9	2m5s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'LEADERCAPITAL2 - 2'; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
10	2m4s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ADSSECURITIES - 1'; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
11	1m55s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'DKFX - 1'; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
12	1m52s	COPY public.t15_ps (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten) TO stdout; [ Date: 2023-11-21 06:35:32 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
13	1m41s	SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'XM - 2'; [ Date: 2023-11-21 06:19:12 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: [unknown] ]
14	1m38s	COPY public.autochartist_results (resultid, bandwidth, pattern, gmttimefound, direction, initialtrend, breakout, volumeincrease, noise, symmetry, patternstarttime, patternendtime, patternstartprice, patternendprice, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, supportgradient, resgradient, riskreward, qtytp, predictionpricefrom, predictionpriceto, predictiontimefrom, predictiontimeto, patternquality, trendchange, maxmovementafterbreakout, latestbaratbreakouttime, latestbaratbreakoutprice, patternlengthbars, temporarypattern, symbolid, resultuid, relevancestartdistance, simulation, writtendatetime, old_resultuid) TO stdout; [ Date: 2023-11-21 06:24:19 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
15	1m17s	COPY public.t15_ps (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten) TO stdout; [ Date: 2023-11-21 06:17:17 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
16	1m11s	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: 2023-11-21 06:14:52 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
17	1m9s	COPY public.authenticationlog (attemptid, username, password, brokerid, authclass, attemptdatetime, success, fingerprint, accounttype) TO stdout; [ Date: 2023-11-21 06:22:41 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
18	1m8s	COPY public.powerstats_trumpet_test (symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) TO stdout; [ Date: 2023-11-21 06:10:52 - Database: acaweb_fx - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
19	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: 2023-11-21 06:28:35 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]
20	1m7s	COPY public.powerstats_trumpet (symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) TO stdout; [ Date: 2023-11-21 06:27:27 - Database: acaweb_fx_integer - User: postgres - Remote: 127.0.0.1 - Application: pg_dump ]

Time consuming queries


[ User: postgres - Total duration: 32m18s - Times executed: 268 ]
[ User: postgres - Total duration: 24m41s - Times executed: 267 ]
[ User: postgres - Total duration: 14m - Times executed: 13 ]
[ User: postgres - Total duration: 12m1s - Times executed: 693 ]
[ User: postgres - Total duration: 9m8s - Times executed: 267 ]
[ User: postgres - Total duration: 5m22s - Times executed: 2 ]
[ User: postgres - Total duration: 4m47s - Times executed: 2 ]
[ User: postgres - Total duration: 3m9s - Times executed: 2 ]
[ User: postgres - Total duration: 2m16s - Times executed: 2 ]
[ User: postgres - Total duration: 2m11s - Times executed: 4 ]
[ User: postgres - Total duration: 2m1s - Times executed: 2 ]
[ User: postgres - Total duration: 1m58s - Times executed: 2 ]
[ User: postgres - Total duration: 1m55s - Times executed: 12 ]
[ User: postgres - Total duration: 1m44s - Times executed: 2 ]
[ User: postgres - Total duration: 1m41s - Times executed: 4 ]
[ User: postgres - Total duration: 1m38s - Times executed: 2 ]
[ User: postgres - Total duration: 1m37s - Times executed: 2 ]
[ User: postgres - Total duration: 1m31s - Times executed: 149 ]
[ User: postgres - Total duration: 1m16s - Times executed: 174 ]
[ User: postgres - Total duration: 1m10s - Times executed: 2 ]

Most frequent queries (N)


[ User: postgres - Total duration: 115ms - Times executed: 25122 ]
[ User: postgres - Total duration: 22s899ms - Times executed: 16027 ]
[ User: postgres - Total duration: 45s663ms - Times executed: 13506 ]
[ User: postgres - Total duration: 8s541ms - Times executed: 8066 ]
[ User: postgres - Total duration: 4s598ms - Times executed: 5626 ]
[ User: postgres - Total duration: 2s483ms - Times executed: 4707 ]
[ User: postgres - Total duration: 911ms - Times executed: 2542 ]
[ User: postgres - Total duration: 1s115ms - Times executed: 2459 ]
[ User: postgres - Total duration: 1s127ms - Times executed: 1876 ]
[ User: postgres - Total duration: 21ms - Times executed: 1512 ]
[ User: postgres - Total duration: 640ms - Times executed: 1025 ]
[ User: postgres - Total duration: 1s963ms - Times executed: 936 ]
[ User: postgres - Total duration: 94ms - Times executed: 854 ]
[ User: postgres - Total duration: 382ms - Times executed: 835 ]
[ User: postgres - Total duration: 3s2ms - Times executed: 754 ]
[ User: postgres - Total duration: 6ms - Times executed: 727 ]
[ User: postgres - Total duration: 12m1s - Times executed: 693 ]
[ User: postgres - Total duration: 8ms - Times executed: 692 ]
[ User: postgres - Total duration: 195ms - Times executed: 679 ]
[ User: postgres - Total duration: 1s - Times executed: 648 ]

Normalized slowest queries (N)


[ User: postgres - Total duration: 5m22s - Times executed: 2 ]
[ User: postgres - Total duration: 4m47s - Times executed: 2 ]
[ User: postgres - Total duration: 3m9s - Times executed: 2 ]
[ User: postgres - Total duration: 2m16s - Times executed: 2 ]
[ User: postgres - Total duration: 14m - Times executed: 13 ]
[ User: postgres - Total duration: 2m1s - Times executed: 2 ]
[ User: postgres - Total duration: 1m58s - Times executed: 2 ]
[ User: postgres - Total duration: 1m44s - Times executed: 2 ]
[ User: postgres - Total duration: 1m38s - Times executed: 2 ]
[ User: postgres - Total duration: 1m37s - Times executed: 2 ]
[ User: postgres - Total duration: 1m10s - Times executed: 2 ]
[ User: postgres - Total duration: 2m11s - Times executed: 4 ]
[ User: postgres - Total duration: 1m41s - Times executed: 4 ]
[ User: postgres - Total duration: 1m55s - Times executed: 12 ]
[ User: postgres - Total duration: 32m18s - Times executed: 268 ]
[ User: postgres - Total duration: 24m41s - Times executed: 267 ]
[ User: postgres - Total duration: 9m8s - Times executed: 267 ]
[ User: postgres - Total duration: 12m1s - Times executed: 693 ]
[ User: postgres - Total duration: 1m31s - Times executed: 149 ]
[ User: postgres - Total duration: 1m16s - Times executed: 174 ]

Time consuming prepare


[ User: postgres - Total duration: 1h1m37s - Times executed: 1760 ]
[ User: postgres - Total duration: 7s581ms - Times executed: 3171 ]
[ User: postgres - Total duration: 1s - Times executed: 648 ]
[ User: postgres - Total duration: 5s330ms - Times executed: 2598 ]
[ User: postgres - Total duration: 2s395ms - Times executed: 4586 ]
[ User: postgres - Total duration: 883ms - Times executed: 2434 ]
[ User: postgres - Total duration: 6ms - Times executed: 727 ]
[ User: postgres - Total duration: 60ms - Times executed: 60 ]
[ User: postgres - Total duration: 275ms - Times executed: 30 ]
[ User: postgres - Total duration: 7ms - Times executed: 1533 ]
[ User: postgres - Total duration: 1s477ms - Times executed: 12 ]
[ User: postgres - Total duration: 35s438ms - Times executed: 44 ]
[ User: postgres - Total duration: 310ms - Times executed: 43 ]
[ User: postgres - Total duration: 119ms - Times executed: 34 ]
[ User: postgres - Total duration: 294ms - Times executed: 30 ]
[ User: postgres - Total duration: 235ms - Times executed: 33 ]
[ User: postgres - Total duration: 32ms - Times executed: 18 ]
[ User: postgres - Total duration: 72ms - Times executed: 38 ]
[ User: postgres - Total duration: 449ms - Times executed: 30 ]
[ User: postgres - Total duration: 30ms - Times executed: 13 ]

Time consuming bind


[ User: postgres - Total duration: 1h9m57s - Times executed: 3208 ]
[ User: postgres - Total duration: 1m13s - Times executed: 31774 ]
[ User: postgres - Total duration: 1m31s - Times executed: 149 ]
[ User: postgres - Total duration: 1s - Times executed: 648 ]
[ User: postgres - Total duration: 1s477ms - Times executed: 12 ]
[ User: postgres - Total duration: 612ms - Times executed: 43 ]
[ User: postgres - Total duration: 3s830ms - Times executed: 45 ]
[ User: postgres - Total duration: 8s541ms - Times executed: 8066 ]
[ User: postgres - Total duration: 60ms - Times executed: 60 ]
[ User: postgres - Total duration: 102ms - Times executed: 24955 ]
[ User: postgres - Total duration: 106ms - Times executed: 16 ]
[ User: postgres - Total duration: 1ms - Times executed: 30 ]
[ User: postgres - Total duration: 36ms - Times executed: 60 ]
[ User: postgres - Total duration: 10ms - Times executed: 30 ]
[ User: postgres - Total duration: 275ms - Times executed: 30 ]
[ User: postgres - Total duration: 320ms - Times executed: 45 ]
[ User: postgres - Total duration: 296ms - Times executed: 30 ]
[ User: postgres - Total duration: 363ms - Times executed: 30 ]
[ User: postgres - Total duration: 315ms - Times executed: 30 ]
[ User: postgres - Total duration: 196ms - Times executed: 30 ]

Log levels

Key values

328,996 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	248	0.08%
DETAIL	109,302	33.22%
ERROR	11	0.00%
LOG	219,056	66.58%
STATEMENT	379	0.12%

Events distribution

Key values

0 PANIC entries
0 FATAL entries
17 ERROR entries
0 WARNING entries

Most Frequent Errors/Events

Key values

11 Max number of times the same event was reported
17 Total events found

Rank

Times reported

Error

1

11

Details

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

Times Reported Most Frequent Error / Event #1

Day	Hour	Count
Nov 21	06	11

LOG: process 24439 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.050 ms at character 28
LOG: process 24440 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.047 ms at character 28
LOG: process 24437 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.065 ms at character 28

2

3

Details

ERROR: relation "..." does not exist

Times Reported Most Frequent Error / Event #2

Day	Hour	Count
Nov 21	06	3

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

3

Details

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

Times Reported Most Frequent Error / Event #3

Day	Hour	Count
Nov 21	06	3

LOG: process 1822 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 1000.043 ms
LOG: process 1822 still waiting for AccessExclusiveLock on relation 5883477 of database 5881926 after 50876.290 ms
LOG: process 3495 still waiting for AccessExclusiveLock on relation 5894441 of database 5881926 after 1000.038 ms

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

Key values

Connections per database

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Connections per user

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Connections per host

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Sessions

Simultaneous sessions

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Histogram of session times

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Sessions per database

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Sessions per user

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Sessions per host

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Sessions per application

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Checkpoints / Restartpoints

Checkpoints Buffers

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Checkpoints Wal files

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Checkpoints distance

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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

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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

Key values

Most frequent waiting queries (N)

Queries that waited the most

Queries

Queries by type

Key values

Queries by database

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Queries by user

Key values

Duration by user