pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Tue Jan 13 02:59:58 2026
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2026-01-13_040000.log
Parsed 2,731,961 log entries in 57s
Log start from 2026-01-13 04:00:00 to 2026-01-13 04:59:57

Global Stats

275 Number of unique normalized queries
271,953 Number of queries
2h15m Total query duration
2026-01-13 04:00:00 First query
2026-01-13 04:59:57 Last query
3,064 queries/s at 2026-01-13 04:00:04 Query peak

2h15m Total query duration
20s205ms Prepare/parse total duration
1m32s Bind total duration
2h13m7s Execute total duration

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

39 Total number of automatic vacuums
61 Total number of automatic analyzes

685 Number temporary file
334.85 MiB Max size of temporary file
8.18 MiB Average size of temporary file

7,390 Total number of sessions
13 sessions at 2026-01-13 04:53:48 Session peak
2d19h8m49s Total duration of sessions
32s710ms Average duration of sessions
36 Average queries per session
1s96ms Average queries duration per session
31s614ms Average idle time per session

7,406 Total number of connections
54 connections/s at 2026-01-13 04:14:12 Connection peak
3 Total number of databases

SQL Traffic

Key values

3,064 queries/s Query Peak
2026-01-13 04:00:04 Date

SELECT Traffic

Key values

1,492 queries/s Query Peak
2026-01-13 04:00:04 Date

INSERT/UPDATE/DELETE Traffic

Key values

700 queries/s Query Peak
2026-01-13 04:18:21 Date

Queries duration

Key values

2h15m 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)
Jan 13	04	271,953	0ms	46s191ms	29ms	3m58s	4m22s	4m41s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Jan 13	04	76,561	27	0ms	0ms	0ms	0ms

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Jan 13	04	33,066	3,058	16	96	0ms	0ms	0ms	0ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
Jan 13	04	46,635	102,319	2.19	38.00%

Day	Hour	Count	Average / Second
Jan 13	04	7,406	2.06/s

Day	Hour	Count	Average Duration	Average idle time
Jan 13	04	7,390	32s710ms	31s629ms

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Established Connections

Key values

54 connections Connection Peak
2026-01-13 04:14:12 Date

Connections per database

Key values

acaweb_fx Main Database
7,406 connections Total

Chart
Table

Database	User	Count
acaweb_fx		7,311
	postgres	6,921
	psql	390
socialmedia		95
	postgres	95

Connections per user

Key values

postgres Main User
7,406 connections Total

Chart
Table

User	Count
postgres	7,016
psql	390

Connections per host

Key values

192.168.1.15 Main host with 3819 connections
7,406 Total connections

Chart
Table

Host	Count
127.0.0.1	129
192.168.0.114	7
192.168.0.216	101
192.168.0.74	1,320
192.168.1.145	35
192.168.1.15	3,819
192.168.1.20	59
192.168.1.231	20
192.168.1.239	7
192.168.1.90	76
192.168.2.126	62
192.168.2.182	12
192.168.2.82	48
192.168.3.199	36
192.168.4.132	6
192.168.4.142	940
192.168.4.150	10
192.168.4.174	4
192.168.4.214	7
192.168.4.238	10
192.168.4.33	90
192.168.4.46	1
192.168.4.98	330
[local]	277

Simultaneous sessions

Key values

13 sessions Session Peak
2026-01-13 04:53:48 Date

Histogram of session times

Key values

6,356 0-500ms duration

Chart
Table

Range	Count	Percentage
0ms-500ms	6,356	86.01%
500ms-1s	145	1.96%
1s-30s	628	8.50%
30s-1m	123	1.66%
1m-10m	67	0.91%
10m-30m	48	0.65%
30m-1h	10	0.14%
1h-8h	12	0.16%
> 8h	1	0.01%

Sessions per database

Key values

acaweb_fx Main Database
7,390 sessions Total

Chart
Table

Database	User	Count	Total Duration	Average Duration
acaweb_fx	7,295	2d18h42m31s	32s919ms
socialmedia	95	26m17s	16s608ms

Sessions per user

Key values

postgres Main User
7,390 sessions Total

Chart
Table

User	Count	Total Duration	Average Duration
postgres	1	0ms	0ms

Sessions per host

Key values

192.168.1.15 Main Host
7,390 sessions Total

Chart
Table

Host	Count	Total Duration	Average Duration
127.0.0.1	113	14s845ms	131ms
192.168.0.114	7	35m5s	5m
192.168.0.216	101	52s339ms	518ms
192.168.0.74	1,320	14h5m42s	38s441ms
192.168.1.145	35	5h28m15s	9m22s
192.168.1.15	3,819	2h11m54s	2s72ms
192.168.1.20	59	14h35m3s	14m49s
192.168.1.231	20	9h52m36s	29m37s
192.168.1.239	7	242ms	34ms
192.168.1.90	76	35s529ms	467ms
192.168.2.126	62	6s827ms	110ms
192.168.2.182	12	863ms	71ms
192.168.2.82	48	12s664ms	263ms
192.168.3.199	36	1s372ms	38ms
192.168.4.132	6	71ms	11ms
192.168.4.142	940	12m12s	778ms
192.168.4.150	10	20h17s	2h1s
192.168.4.174	4	38ms	9ms
192.168.4.214	7	40s362ms	5s766ms
192.168.4.238	10	10s724ms	1s72ms
192.168.4.33	90	1m17s	856ms
192.168.4.46	1	230ms	230ms
192.168.4.98	330	14s555ms	44ms
[local]	277	3m14s	701ms

Sessions per application

Key values

unknown Main Host
7,390 sessions Total

Chart
Table

Application	Count	Total Duration	Average Duration
unknown	7,390	2d19h8m49s	32s710ms

Checkpoints Buffers

Key values

12,407 buffers Checkpoint Peak
2026-01-13 04:05:14 Date
209.906 seconds Highest write time
0.084 seconds Sync time

Checkpoints Wal files

Key values

5 files Wal files usage Peak
2026-01-13 04:10:14 Date

Checkpoints distance

Key values

162.28 Mo Distance Peak
2026-01-13 04:05:14 Date

Checkpoints Activity

Day	Hour	Written buffers	Write time	Sync time	Total time
Jan 13	04	58,241	1,963.785s	0.29s	1,964.452s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
Jan 13	04	0	0	26	2,114	0.083s	0s

Day	Hour	Count	Avg time (sec)
Jan 13	04	0	0s

Day	Hour	Mean distance	Mean estimate
Jan 13	04	35,700.58 kB	64,024.92 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

334.85 MiB Temp Files size Peak
2026-01-13 04:05:08 Date

Number of temporary files

Key values

30 per second Temp Files Peak
2026-01-13 04:47:08 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
Jan 13	04	685	5.47 GiB	8.18 MiB

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Queries generating the most temporary files (N)

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	29	1.66 GiB	3.06 MiB	186.68 MiB	58.69 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 = ? ), 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: 2026-01-13 04:10:08 Duration: 0ms
2	22	183.16 MiB	8.32 MiB	8.33 MiB	8.33 MiB	jr.resultuid as resultuid, jr.direction as direction, jr.patternendtime as identified, jr.patternlengthbars as length, jr.patternstarttime as patternstarttime, case when jr.trendchangeid = ? then ? else ? end as trendchange, 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, jp.patternname as pattern_name, dtt.timezone as timezone, ? as age, cps.pip, g.basegroupname from japsticks_results jr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = jr.symbolid inner join relevance_japsticks_results rar on rar.resultuid = jr.resultuid inner join symbols s on jr.symbolid = s.symbolid and s.nonliquid = ? inner join japsticks_patterns jp on jr.patternid = jp.id inner join downloadersymbolsettings dss on jr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? 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 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 jr.gmttimefound > now() - interval ? and s.deleted = ? and (jr.simulation = ? or jr.simulation is null) and (rar.relevant = ?) --and (semicolon_age = ? or rar.age <= semicolon_age) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or jp.patternname in (...)) and (? = ? or jr.patternlengthbars <= ?) ), results as ( select distinct on (symbolid) * from all_results order by symbolid, resultuid ) select * from results order by identified desc, length desc ; jr.resultuid AS resultuid, jr.direction AS direction, jr.patternendtime AS identified, jr.patternlengthbars AS length, jr.patternstarttime AS patternstarttime, case when jr.trendchangeid = 1 then 'Continuation' else 'Reversal' end AS trendchange, 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, jp.patternname AS pattern_name, dtt.timezone AS timezone, 0 AS age, cps.pip, g.basegroupname FROM japsticks_results jr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $1 AND bsl.symbolid = jr.symbolid INNER JOIN relevance_japsticks_results rar ON rar.resultuid = jr.resultuid INNER JOIN symbols s ON jr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN japsticks_patterns jp ON jr.patternid = jp.id INNER JOIN downloadersymbolsettings dss ON jr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 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 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 jr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (jr.simulation = 0 OR jr.simulation IS NULL) AND (rar.relevant = 1) --AND (semicolon_age = 0 OR rar.age <= semicolon_age) AND ($2 = 0 OR s.timegranularity in ($3)) AND ($4 = 0 OR s.exchange in ($5)) AND ($6 = 0 OR coalesce(bim.code, s.symbol) in ($7)) AND ($8 = 0 OR jp.patternname in ($9)) AND ($10 = 0 OR jr.patternlengthbars <= $11)), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC; Date: 2026-01-13 04:02:27 Duration: 0ms
3	16	617.38 MiB	38.59 MiB	38.59 MiB	38.59 MiB	update solr_relevance_old set new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total from ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total from whatshot_probability where type = ?) sub where result_uid = sub.resultuid; UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type = 'cp') sub WHERE result_uid = sub.resultuid; Date: 2026-01-13 04:01:13 Duration: 0ms
4	16	1.11 GiB	70.82 MiB	70.82 MiB	70.82 MiB	with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then ? else ? end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then ? else ? end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike ? inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike ?) sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike ?; update solr_relevance_old set newrelevant = ? where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike ? and a.resultuid is null); update solr_relevance_old set new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total from ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total from whatshot_probability where type in (...)) sub where result_uid = sub.resultuid; with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid; Date: 2026-01-13 04:01:16 Duration: 0ms
5	8	1011.13 MiB	126.34 MiB	126.43 MiB	126.39 MiB	select updateresultsmaterializedview (); select updateresultsmaterializedview (); Date: 2026-01-13 04:02:18 Duration: 0ms
6	4	337.67 MiB	84.36 MiB	84.48 MiB	84.42 MiB	select updateageforrelevantresults (); select updateageforrelevantresults (); Date: 2026-01-13 04:02:06 Duration: 0ms
7	3	9.76 MiB	3.25 MiB	3.25 MiB	3.25 MiB	select resultuid from relevance_consecutivecandles_results order by resultuid desc limit ?), all_results as ( select ccr.resultuid as resultuid, ccr.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, ccr.patternendtime as identified, dtt.timezone as timezone, ccr.qtyconsecutivecandles as length, g.basegroupname, case when rcr.age is not null then rcr.age when ccr.resultuid <= rm.resultuid then ? else ? end as age, case when rcr.relevant is not null then rcr.relevant when ccr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip, newlevels.filtered from consecutivecandles_results ccr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = ccr.symbolid inner join symbols s on ccr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on ccr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on ccr.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 rar_max rm on ? = ? left outer join relevance_consecutivecandles_results rcr on rcr.resultuid = ccr.resultuid 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 = ? left join lateral calc_cc_signal_filter (ccr.resultuid) newlevels on true where ccr.gmttimefound > now() - interval ? and s.deleted = ? and (ccr.simulation = ? or ccr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ccr.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_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.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, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $1 AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.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 rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid 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' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ($2 = 0 OR s.timegranularity in ($3, $4, $5, $6, $7, $8, $9)) AND ($10 = 0 OR s.exchange in ($11)) AND ($12 = 0 OR coalesce(bim.code, s.symbol) in ($13, $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)) AND ($323 = 0 OR ccr.patternlengthbars <= $324)), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $325 OR relevant = 1) AND ($326 = 0 OR age <= $327) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC; Date: 2026-01-13 04:07:32 Duration: 0ms
8	1	106.11 MiB	106.11 MiB	106.11 MiB	106.11 MiB	with a as ( select , row_number() over (partition by symbolid, direction order by datetime desc) r from sa_hist_consecutivecandles ) select distinct a.symbolid, a.qty, a.percentile, a.direction from a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid where aus.enabled = ? and a.r = ? and aus.recognitionengine ilike ?; WITH a AS ( SELECT , row_number() OVER (PARTITION BY symbolid, direction ORDER BY datetime DESC) r FROM sa_hist_consecutivecandles ) SELECT DISTINCT a.symbolid, a.qty, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'DXFEED_FX - 1'; Date: 2026-01-13 04:05:41 Duration: 0ms

Queries generating the largest temporary files

Rank	Size	Query
1	186.68 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: 2026-01-13 04:00:03 ]
2	157.52 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: 2026-01-13 04:10:08 ]
3	126.43 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-13 04:32:19 ]
4	126.42 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-13 04:47:12 ]
5	126.41 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-13 04:50:33 ]
6	126.41 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-13 04:35:32 ]
7	126.39 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-13 04:20:32 ]
8	126.38 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-13 04:17:17 ]
9	126.35 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-13 04:02:18 ]
10	126.34 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-13 04:05:33 ]
11	108.27 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: 2026-01-13 04:20:04 ]
12	106.11 MiB	WITH a AS ( SELECT , row_number() OVER (PARTITION BY symbolid, direction ORDER BY datetime DESC) r FROM sa_hist_consecutivecandles ) SELECT DISTINCT a.symbolid, a.qty, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'DXFEED_FX - 1'; [ Date:* 2026-01-13 04:05:41 ]
13	102.85 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: 2026-01-13 04:20:05 ]
14	94.25 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: 2026-01-13 04:40:05 ]
15	88.90 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: 2026-01-13 04:50:05 ]
16	85.94 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: 2026-01-13 04:50:04 ]
17	85.07 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: 2026-01-13 04:30:04 ]
18	84.48 MiB	select updateageforrelevantresults (); [ Date: 2026-01-13 04:02:06 ]
19	84.44 MiB	select updateageforrelevantresults (); [ Date: 2026-01-13 04:32:06 ]
20	84.38 MiB	select updateageforrelevantresults (); [ Date: 2026-01-13 04:47:04 ]

Vacuums / Analyzes Distribution

Key values

0 sec Highest CPU-cost vacuum
Table
Database
Date
0 sec Highest CPU-cost analyze
Table
Database
Date

Analyzes per table

Key values

public.solr_relevance_old (16) Main table analyzed (database acaweb_fx)
61 analyzes Total

Chart
Table

Table	Number of analyzes
acaweb_fx.public.solr_relevance_old	16
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.public.relevance_autochartist_results	4
acaweb_fx.public.latest_t15_candle_view	3
acaweb_fx.pg_catalog.pg_type	3
acaweb_fx.pg_catalog.pg_index	2
acaweb_fx.pg_catalog.pg_depend	2
acaweb_fx.public.relevance_consecutivecandles_results	2
acaweb_fx.public.autochartist_symbolupdates	1
acaweb_fx.public.solr_imports	1
socialmedia.public.processes	1
acaweb_fx.public.latest_candle_datetime_per_receng	1
acaweb_fx.public.patternresultsage	1
acaweb_fx.public.sa_hist_bigmove	1
acaweb_fx.public.bigmovement_results_underlying	1
Total	61

Vacuums per table

Key values

public.solr_relevance_old (16) Main table vacuumed on database acaweb_fx
39 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	16	16	12,434	0	78	0	0	8,756	2,025	8,780,257
acaweb_fx.public.datafeeds_latestrun	4	0	438	0	8	0	0	56	4	37,390
acaweb_fx.pg_toast.pg_toast_2619	2	2	272	0	43	0	0	198	40	185,378
acaweb_fx.public.relevance_keylevels_results	2	2	7,746	0	354	0	193	2,069	246	802,642
acaweb_fx.public.relevance_fibonacci_results	2	2	2,559	0	62	0	109	426	47	126,033
acaweb_fx.public.relevance_autochartist_results	2	2	6,916	0	162	0	488	1,377	147	399,803
acaweb_fx.pg_catalog.pg_index	1	1	88	0	11	0	0	27	10	75,036
acaweb_fx.public.autochartist_symbolupdates	1	1	22,682	0	4,462	2	38,179	7,468	4,401	1,857,362
acaweb_fx.pg_catalog.pg_attribute	1	1	833	0	147	0	67	374	138	779,121
acaweb_fx.public.latest_t15_candle_view	1	1	66	0	1	0	0	6	4	11,483
acaweb_fx.pg_catalog.pg_depend	1	1	423	0	74	0	59	175	63	328,130
acaweb_fx.pg_catalog.pg_class	1	1	463	0	61	0	0	167	65	295,427
acaweb_fx.public.sa_hist_bigmove	1	1	5,186	0	1,257	0	128	2,130	1,070	3,047,838
acaweb_fx.pg_catalog.pg_type	1	1	129	0	23	0	0	50	17	113,427
acaweb_fx.pg_catalog.pg_statistic	1	1	1,003	0	182	0	551	476	154	594,773
acaweb_fx.public.relevance_consecutivecandles_results	1	1	80	0	10	0	0	28	6	30,491
acaweb_fx.public.bigmovement_results_underlying	1	1	3,264	0	559	0	0	1,045	509	1,680,339
Total	39	35	64,582	53,923	7,494	2	39,774	24,828	8,946	19,144,930

Tuples removed per table

Key values

public.solr_relevance_old (54653) Main table with removed tuples on database acaweb_fx
78353 tuples Total removed

Chart
Table

		Index	Tuples			Pages
Table	Vacuums	scans	removed	remain	not yet removable	removed	remain
acaweb_fx.public.solr_relevance_old	16	16	54,653	88,750	0	0	3,038
acaweb_fx.public.sa_hist_bigmove	1	1	11,870	57,098	0	0	1,437
acaweb_fx.public.autochartist_symbolupdates	1	1	5,241	51,208	45	0	40,691
acaweb_fx.pg_catalog.pg_attribute	1	1	1,575	10,734	0	0	264
acaweb_fx.public.relevance_keylevels_results	2	2	1,575	23,833	0	0	558
acaweb_fx.public.relevance_autochartist_results	2	2	791	16,966	0	0	760
acaweb_fx.pg_catalog.pg_statistic	1	1	586	3,620	0	0	1,194
acaweb_fx.pg_catalog.pg_depend	1	1	572	14,647	0	0	135
acaweb_fx.public.bigmovement_results_underlying	1	1	390	8,063	0	0	351
acaweb_fx.public.relevance_fibonacci_results	2	2	259	2,754	0	0	204
acaweb_fx.public.datafeeds_latestrun	4	0	235	70	14	0	64
acaweb_fx.pg_catalog.pg_class	1	1	180	1,649	0	0	150
acaweb_fx.pg_toast.pg_toast_2619	2	2	146	342	4	0	100
acaweb_fx.pg_catalog.pg_type	1	1	126	1,446	0	0	38
acaweb_fx.public.relevance_consecutivecandles_results	1	1	74	355	0	0	8
acaweb_fx.public.latest_t15_candle_view	1	1	62	14	0	0	1
acaweb_fx.pg_catalog.pg_index	1	1	18	813	0	0	22
Total	39	35	78,353	282,362	63	0	49,015

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	146
acaweb_fx.pg_catalog.pg_index	1	1	18
acaweb_fx.public.autochartist_symbolupdates	1	1	5241
acaweb_fx.public.datafeeds_latestrun	4	0	235
acaweb_fx.pg_catalog.pg_attribute	1	1	1575
acaweb_fx.public.latest_t15_candle_view	1	1	62
acaweb_fx.pg_catalog.pg_depend	1	1	572
acaweb_fx.public.relevance_keylevels_results	2	2	1575
acaweb_fx.pg_catalog.pg_class	1	1	180
acaweb_fx.public.relevance_fibonacci_results	2	2	259
acaweb_fx.public.sa_hist_bigmove	1	1	11870
acaweb_fx.pg_catalog.pg_type	1	1	126
acaweb_fx.pg_catalog.pg_statistic	1	1	586
acaweb_fx.public.relevance_consecutivecandles_results	1	1	74
acaweb_fx.public.bigmovement_results_underlying	1	1	390
acaweb_fx.public.relevance_autochartist_results	2	2	791
acaweb_fx.public.solr_relevance_old	16	16	54653
Total	39	35	78,353

Autovacuum Activity

Vacuums / Analyzes

Day	Hour	VACUUMs	ANALYZEs
Jan 13	04	39	61

↑ Back to the top of the Autovacuum Activity table

Locks by types

Key values

unknown Main Lock Type
0 locks Total

Chart
Table

Type of locks

NO DATASET

Type	Object	Count	Total Duration	Average Duration (s)
NO DATASET

Most frequent waiting queries (N)

Rank	Count	Total time	Min time	Max time	Avg duration	Query
NO DATASET

Queries that waited the most

Rank	Wait time	Query
NO DATASET

Queries by type

Key values

76,561 Total read queries
46,154 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	76,561	28.15%
INSERT	33,066	12.16%
UPDATE	3,058	1.12%
DELETE	16	0.01%
COPY FROM	96	0.04%
COPY TO	27	0.01%
CTE	9,161	3.37%
DDL	16	0.01%
TCL	714	0.26%
CURSOR	0	0.00%
OTHERS	149,238	54.88%

Queries by database

Key values

unknown Main database
270,916 Requests
2h13m7s (unknown)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	942	0ms
	copy from	80	0ms
	copy to	26	0ms
	cte	104	0ms
	ddl	16	0ms
	delete	16	0ms
	others	225	0ms
	select	104	0ms
	tcl	332	0ms
	update	39	0ms
socialmedia	Total	95	0ms
	select	90	0ms
	tcl	5	0ms
unknown	Total	270,916	2h13m7s
	copy from	16	0ms
	copy to	1	0ms
	cte	9,057	0ms
	insert	33,066	0ms
	others	13,037	0ms
	select	76,367	0ms
	tcl	377	0ms
	update	3,019	0ms

Queries by user

Key values

unknown Main user
270,916 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	1,037	0ms
	copy from	80	0ms
	copy to	26	0ms
	cte	104	0ms
	ddl	16	0ms
	delete	16	0ms
	others	225	0ms
	select	194	0ms
	tcl	337	0ms
	update	39	0ms
unknown	Total	270,916	2h13m7s
	copy from	16	0ms
	copy to	1	0ms
	cte	9,057	0ms
	insert	33,066	0ms
	others	13,037	0ms
	select	76,367	0ms
	tcl	377	0ms
	update	3,019	0ms

Duration by user

Key values

2h13m7s (unknown) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	1,037	0ms
	copy from	80	0ms
	copy to	26	0ms
	cte	104	0ms
	ddl	16	0ms
	delete	16	0ms
	others	225	0ms
	select	194	0ms
	tcl	337	0ms
	update	39	0ms
unknown	Total	270,916	2h13m7s
	copy from	16	0ms
	copy to	1	0ms
	cte	9,057	0ms
	insert	33,066	0ms
	others	13,037	0ms
	select	76,367	0ms
	tcl	377	0ms
	update	3,019	0ms

Queries by host

Key values

unknown Main host
271,953 Requests
2h13m7s (unknown)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
unknown	Total	271,953	2h13m7s
	copy from	96	0ms
	copy to	27	0ms
	cte	9,161	0ms
	ddl	16	0ms
	delete	16	0ms
	insert	33,066	0ms
	others	13,262	0ms
	select	76,561	0ms
	tcl	714	0ms
	update	3,058	0ms

Queries by application

Key values

unknown Main application
271,563 Requests
2h13m7s (unknown)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
psql	Total	390	0ms
	copy from	80	0ms
	copy to	26	0ms
	cte	104	0ms
	ddl	16	0ms
	delete	16	0ms
	others	5	0ms
	select	104	0ms
	update	39	0ms
unknown	Total	271,563	2h13m7s
	copy from	16	0ms
	copy to	1	0ms
	cte	9,057	0ms
	insert	33,066	0ms
	others	13,257	0ms
	select	76,457	0ms
	tcl	714	0ms
	update	3,019	0ms

Number of cancelled queries

Key values

0 per second Cancelled query Peak
2026-01-13 04:13:22 Date

Number of cancelled queries (5 minutes period)

NO DATASET

Histogram of query times

Key values

91,899 0-1ms duration

Chart
Table

Range	Count	Percentage
0-1ms	91,899	67.58%
1-5ms	38,524	28.33%
5-10ms	2,230	1.64%
10-25ms	1,083	0.80%
25-50ms	210	0.15%
50-100ms	194	0.14%
100-500ms	503	0.37%
500-1000ms	159	0.12%
1000-10000ms	914	0.67%
> 10000ms	260	0.19%

Slowest individual queries

Rank	Duration	Query
NO DATASET

Time consuming queries

Rank

Total duration

Times executed

Min duration

Max duration

Avg duration

Query

1

0ms

30

Details

0ms

select key, value from datasources ds inner join datasourceparams dsp on ds.id = dsp.datasourceid where ds.name = ?;

Times Reported Time consuming queries #1

Day	Hour	Count	Duration	Avg duration
Jan 13	04	30	0ms	0ms

2

0ms

1

Details

0ms

select distinct a.resultuid, a.breakoutbars, a.patternid, cast(a.x0 as timestamp) as x0, cast(a.x1 as timestamp) as x1, cast(x2 as timestamp) as x2, case when (x3 != ? and x3 != ?) then cast(x3 as timestamp) else cast(? as timestamp) end as x3, case when (x4 != ? and x4 != ?) then cast(x4 as timestamp) else cast(? as timestamp) end as x4, case when (x5 != ? and x5 != ?) then cast(x5 as timestamp) else cast(? as timestamp) end as x5, case when (x6 != ? and x6 != ?) then cast(x6 as timestamp) else cast(? as timestamp) end as x6, case when (x7 != ? and x7 != ?) then cast(x7 as timestamp) else cast(? as timestamp) end as x7, case when (x8 != ? and x8 != ?) then cast(x8 as timestamp) else cast(? as timestamp) end as x8, case when (x9 != ? and x9 != ?) then cast(x9 as timestamp) else cast(? as timestamp) end as x9, cast(a.atbaridentified as timestamp) as atbaridentified, cast(a.patternstarttime as timestamp) as patternstarttime, a.breakoutprice, a.symbolid, a.approachingregion, a.patternprice, a.errormargin, a.bandwidth, a.qtytp, a.patternlengthbars, a.symbolid, a.uniquepointsvalue, a.predictionpricefrom, a.predictionpriceto, a.breakout, a.direction, a.furthestprice, a.approachingtimestamp, a.atpriceidentified from keylevels_results a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid left outer join relevance_keylevels_results rkl on a.resultuid = rkl.resultuid where aus.enabled = ? and (rkl.relevant = ? or a.resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)) and aus.recognitionengine ilike ?;

Times Reported Time consuming queries #2

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

3

0ms

18

Details

0ms

with rar_max as ( select resultuid from relevance_bigmovement_results order by resultuid desc limit ? ) select bmr.symbolid, patternstarttime, patternendtime, timegranularity, ? as direction, case when bmr.old_resultuid = ? then bmr.old_resultuid else bmr.resultuid end as uid, s.exchange, s.symbol, s.longname, s.shortname, dtt.timezone, bmr.patternmovement, bmr.statisticalmovement, bmr.fromprice, bmr.toprice, bmr.percentile, bmr.patternlengthbars, case when rbr.age is not null then rbr.age when bmr.resultuid <= rm.resultuid then ? else ? end as age, case when rbr.relevant is not null then rbr.relevant when bmr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from bigmovement_results bmr inner join downloadersymbolsettings dss on bmr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on bmr.symbolid = s.symbolid inner join rar_max rm on ? = ? left outer join relevance_bigmovement_results rbr on rbr.resultuid = bmr.resultuid left join currencypips cps on cps.symbol = s.symbol where (bmr.old_resultuid = ? or bmr.resultuid = ?) and dtt.dayofweek = ?;

Times Reported Time consuming queries #3

Day	Hour	Count	Duration	Avg duration
Jan 13	04	18	0ms	0ms

4

0ms

2,299

Details

0ms

insert into t60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;

Times Reported Time consuming queries #4

Day	Hour	Count	Duration	Avg duration
Jan 13	04	2,299	0ms	0ms

5

0ms

48

Details

0ms

select count(*) from datafeeds_latestrun where feedname ilike ? and ((latestrxtime > current_timestamp - interval ? and latestdbwritetime > current_timestamp - interval ?) or (latestdbwritetime > current_timestamp - interval ? and lateststartuptime > current_timestamp - interval ?));

Times Reported Time consuming queries #5

Day	Hour	Count	Duration	Avg duration
Jan 13	04	48	0ms	0ms

6

0ms

4

Details

0ms

select updaterelevantforrelevantresults ();

Times Reported Time consuming queries #6

Day	Hour	Count	Duration	Avg duration
Jan 13	04	4	0ms	0ms

7

0ms

16

Details

0ms

set client_encoding to ?;

Times Reported Time consuming queries #7

Day	Hour	Count	Duration	Avg duration
Jan 13	04	16	0ms	0ms

8

0ms

346

Details

0ms

select pricedatetime, open, high, low, close, volume, bsf from t60 where symbolid = ? and pricedatetime > ? order by pricedatetime asc;

Times Reported Time consuming queries #8

Day	Hour	Count	Duration	Avg duration
Jan 13	04	346	0ms	0ms

9

0ms

18

Details

0ms

select cast(count(*) / cast(setting as numeric) * ? as int) from pg_stat_activity, pg_settings where name = ? group by setting;

Times Reported Time consuming queries #9

Day	Hour	Count	Duration	Avg duration
Jan 13	04	18	0ms	0ms

10

0ms

1

Details

0ms

select count(*) from autochartist_stocklist where base_engine = recognitionengine and enabled = ?;

Times Reported Time consuming queries #10

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

11

0ms

357

Details

0ms

commit;

Times Reported Time consuming queries #11

Day	Hour	Count	Duration	Avg duration
Jan 13	04	357	0ms	0ms

12

0ms

419

Details

0ms

with rar_max as ( 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 autochartist_symbolupdates au on dss.symbolid = au.symbolid 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 s.deleted = ? 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 <= ?) and kr.patternstarttime::timestamp without time zone >= coalesce(au.earliestpricedatetime, ?::timestamp without time zone) -- to make sure patternstarttime is in our t-tables ), 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 limit ?;

Times Reported Time consuming queries #12

Day	Hour	Count	Duration	Avg duration
Jan 13	04	419	0ms	0ms

13

0ms

240

Details

0ms

select count(*), sum(size), extract(epoch from now() - min(modification)) from pg_ls_waldir ();

Times Reported Time consuming queries #13

Day	Hour	Count	Duration	Avg duration
Jan 13	04	240	0ms	0ms

14

0ms

240

Details

0ms

select system_identifier from pg_control_system ();

Times Reported Time consuming queries #14

Day	Hour	Count	Duration	Avg duration
Jan 13	04	240	0ms	0ms

15

0ms

16

Details

0ms

set session characteristics as transaction isolation level read uncommitted;

Times Reported Time consuming queries #15

Day	Hour	Count	Duration	Avg duration
Jan 13	04	16	0ms	0ms

16

0ms

4

Details

0ms

select groupid, exchange, groupname, symbol, longname from prfsymboltree where brokerid = ? order by groupname, symbol;

Times Reported Time consuming queries #16

Day	Hour	Count	Duration	Avg duration
Jan 13	04	4	0ms	0ms

17

0ms

1

Details

0ms

insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing;

Times Reported Time consuming queries #17

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

18

0ms

1

Details

0ms

with a as ( select *, row_number() over (partition by symbolid, direction order by datetime desc) r from sa_hist_consecutivecandles ) select distinct a.symbolid, a.qty, a.percentile, a.direction from a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid where aus.enabled = ? and a.r = ? and aus.recognitionengine ilike ?;

Times Reported Time consuming queries #18

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

WITH a AS ( SELECT *, row_number() OVER (PARTITION BY symbolid, direction ORDER BY datetime DESC) r FROM sa_hist_consecutivecandles ) SELECT DISTINCT a.symbolid, a.qty, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'DXFEED_FX - 1';

Date: 2026-01-13 04:05:41 Duration: 0ms

19

0ms

1

Details

0ms

update keylevels_results set breakoutbars = ((?.? + (qtytp - 3. ?) / ?.?) * patternlengthbars) where breakoutbars = ? and symbolid in ( select distinct symbolid from autochartist_stocklist where recognitionengine ilike ?);

Times Reported Time consuming queries #19

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

20

0ms

1

Details

0ms

select distinct a.resultuid, a.symbolid, cast(a.patternendtime as timestamp) as patternendtime, a.resultuniqueindex from bigmovement_results_underlying a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid left outer join relevance_bigmovement_results rel on a.resultuid = rel.resultuid where aus.enabled = ? and (rel.relevant = ? or a.resultuid > ( select resultuid from relevance_bigmovement_results order by resultuid desc limit ?)) and aus.recognitionengine ilike ?;

Times Reported Time consuming queries #20

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

Most frequent queries (N)

Rank

Times executed

Total duration

Min duration

Max duration

Avg duration

Query

1

34,257

Details

0ms

select ?;

Times Reported Time consuming queries #1

Day	Hour	Count	Duration	Avg duration
Jan 13	04	34,257	0ms	0ms

2

23,169

Details

0ms

select distinct on (coalesce(bim.code, s.symbol) , s.exchange, s.timegranularity, df.timezone) s.symbolid as id, coalesce(bim.code, s.symbol) as name, s.symbol as symbol, dss.downloadersymbol as ticker, s.exchange as exchange, s.timegranularity as interval, df.timezone as timezone from symbols s inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable df on df.classname ilike dss.classname left join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = s.symbolid left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = ? and bim.type = ? where s.symbolid = ?;

Times Reported Time consuming queries #2

Day	Hour	Count	Duration	Avg duration
Jan 13	04	23,169	0ms	0ms

3

7,860

Details

0ms

insert into executionlogs (executionid, status, message, details, detailtype) values (null, ?, ?, null, null);

Times Reported Time consuming queries #3

Day	Hour	Count	Duration	Avg duration
Jan 13	04	7,860	0ms	0ms

4

6,281

Details

0ms

set extra_float_digits = ?;

Times Reported Time consuming queries #4

Day	Hour	Count	Duration	Avg duration
Jan 13	04	6,281	0ms	0ms

5

6,255

Details

0ms

set application_name = ?;

Times Reported Time consuming queries #5

Day	Hour	Count	Duration	Avg duration
Jan 13	04	6,255	0ms	0ms

6

6,070

Details

0ms

insert into autochartist_results (resultid, symbolid, bandwidth, pattern, qtytp, gmttimefound, direction, initialtrend, breakout, volumeincrease, noise, symmetry, predictionpricefrom, predictionpriceto, predictiontimefrom, predictiontimeto, patternstarttime, patternendtime, patternstartprice, patternendprice, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, supportgradient, resgradient, riskreward, patternquality, trendchange, maxmovementafterbreakout, latestbaratbreakouttime, latestbaratbreakoutprice, patternlengthbars, temporarypattern, relevancestartdistance, simulation, writtendatetime) values (?, ?, ?.?, ?, ?, ?::timestamp without time zone, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?.?, ?.?, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?, ?.?, ?::timestamp without time zone, ?.?, ?, ?, ?.?, ?, current_timestamp::timestamp without time zone) on conflict do nothing;

Times Reported Time consuming queries #6

Day	Hour	Count	Duration	Avg duration
Jan 13	04	6,070	0ms	0ms

7

5,501

Details

0ms

insert into t15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;

Times Reported Time consuming queries #7

Day	Hour	Count	Duration	Avg duration
Jan 13	04	5,501	0ms	0ms

8

4,970

Details

0ms

select s.symbolid as id, s.symbol as name, s.exchange as exchange, s.timegranularity as interval, dtt.timezone as timezone from symbols s inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where bsl.brokerid = ? and (? = ? or s.timegranularity = ?) and (s.symbol = ? or dss.downloadersymbol = ?) and dss.enabled = ?;

Times Reported Time consuming queries #8

Day	Hour	Count	Duration	Avg duration
Jan 13	04	4,970	0ms	0ms

9

4,808

Details

0ms

with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ) select a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternstartprice, patternendprice, qtytp, newlevels.profit, newlevels.stop, newlevels.filtered, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from autochartist_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern inner join rar_max rm on ? = ? left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid left join lateral calc_cp_signal (a.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;

Times Reported Time consuming queries #9

Day	Hour	Count	Duration	Avg duration
Jan 13	04	4,808	0ms	0ms

10

3,331

Details

0ms

insert into t30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;

Times Reported Time consuming queries #10

Day	Hour	Count	Duration	Avg duration
Jan 13	04	3,331	0ms	0ms

11

2,645

Details

0ms

insert into fibonacci_results (bandwidth, pattern, gmttimefound, direction, patternstarttime, patternendtime, patternstartprice, patternendprice, qtytp, pricex, timex, pricea, timea, priceb, timeb, pricec, timec, priced, timed, averagequality, timequality, errormargin, patternlengthbars, target10, target06, target16, target07, target12, target05, target03, symbolid, noise, ratiosfound, temporarypattern, uniqueindex, completed, simulation, writtendatetime) values (?.?, ?, ?::timestamp without time zone, ?, ?::timestamp without time zone, ?::timestamp without time zone, ?.?, ?.?, ?, ?.?, ?::timestamp without time zone, ?.?, ?::timestamp without time zone, ?.?, ?::timestamp without time zone, ?.?, ?::timestamp without time zone, ?.?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?, ?.?, ?, ?, ?, ?, ?, current_timestamp::timestamp without time zone) on conflict do nothing;

Times Reported Time consuming queries #11

Day	Hour	Count	Duration	Avg duration
Jan 13	04	2,645	0ms	0ms

12

2,470

Details

0ms

insert into keylevels_results (bandwidth, breakout, patternid, gmttimefound, approachingtimestamp, approachingregion, qtytp, patternlengthbars, patternprice, x0, x1, x2, x3, x4, x5, x6, x7, x8, x9, breakoutbars, breakoutprice, patternendtime, atbaridentified, atpriceidentified, errormargin, direction, symbolid, predictionpricefrom, predictionpriceto, predictiontimefrom, predictiontimebars, uniquepointsvalue, furthestprice, relevancestartdistance, patternclassid, patternstarttime, stoplosslevel, simulation, writtendatetime) values (?.?, ?, ?, ?::timestamp without time zone, ?, ?.?, ?, ?, ?.?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?.?, ?::timestamp without time zone, ?, ?.?, ?.?, ?, ?, ?.?, ?.?, ?::timestamp without time zone, ?, ?, ?.?, ?.?, ?, ?, ?.?, ?, current_timestamp::timestamp without time zone) on conflict do nothing;

Times Reported Time consuming queries #12

Day	Hour	Count	Duration	Avg duration
Jan 13	04	2,470	0ms	0ms

13

2,469

Details

0ms

update patternresultsrelevance set relevant = ?, saxo_relevant = ?, notrelevantpricedatetime = ?, reason = ? where uniqueindex = ? and relevant = ?;

Times Reported Time consuming queries #13

Day	Hour	Count	Duration	Avg duration
Jan 13	04	2,469	0ms	0ms

14

2,299

Details

0ms

insert into t60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;

Times Reported Time consuming queries #14

Day	Hour	Count	Duration	Avg duration
Jan 13	04	2,299	0ms	0ms

15

1,454

Details

0ms

insert into t240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;

Times Reported Time consuming queries #15

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1,454	0ms	0ms

16

1,318

Details

0ms

with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ) select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as ruid, s.symbolid as sid, s.symbol as sym, longname, shortname, exchange as e, timegranularity as tg, a.patternid as pid, a.direction as d, a.patternprice as pp, atbaridentified as pet, case when (x9 != ?) then x9 when (x8 != ?) then x8 when (x7 != ?) then x7 when (x6 != ?) then x6 when (x5 != ?) then x5 when (x4 != ?) then x4 when (x3 != ?) then x3 when (x2 != ?) then x2 end as pst, patternprice as patp, x0, x1, x2, case when (x3 != ?) then x3 else ? end as x3, case when (x4 != ?) then x4 else ? end as x4, case when (x5 != ?) then x5 else ? end as x5, case when (x6 != ?) then x6 else ? end as x6, case when (x7 != ?) then x7 else ? end as x7, case when (x8 != ?) then x8 else ? end as x8, errormargin as erm, breakoutprice as pe, breakoutbars as be, breakout, atbaridentified as atbar, atpriceidentified as atprice, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzos, dtt.timezone as timezone, approachingtimestamp as apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, furthestprice as fp, newlevels.filtered, a.uniquepointsvalue as upv, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from keylevels_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join hrspatterns p on a.patternid = p.patternid inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on a.resultuid = rar.resultuid left join lateral calc_kl_signal_filter (a.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;

Times Reported Time consuming queries #16

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1,318	0ms	0ms

17

771

Details

0ms

select symbolid, pricedatetime, classname, downloadfrequency, downloadersymbol, open, high, low, close, volume, bsf, sastdatetimereceived from ( select pricedatetime, dss.classname, dss.downloadfrequency, dss.symbolid, dss.downloadersymbol, t.open, t.high, t.low, t.close, t.volume, t.bsf, t.sastdatetimereceived, row_number() over (partition by t.symbolid order by t.pricedatetime desc) as rn from t15 t, downloadersymbolsettings dss, symbols s where dss.classname = ? and dss.downloadfrequency = ? and dss.symbolid = t.symbolid and s.symbolid = dss.symbolid and dss.enabled = ? and s.deleted = ? and dss.downloadersymbol in (...) and t.pricedatetime > now() - interval ?) as ranked_candles_table where rn = ?;

Times Reported Time consuming queries #17

Day	Hour	Count	Duration	Avg duration
Jan 13	04	771	0ms	0ms

18

486

Details

0ms

select t.pricedatetime, t.open, t.high, t.low, t.close, t.volume, t.symbolid, dss.downloadersymbol as symbol, dss.classname as datafeed, t.bsf, t.sastdatetimewritten, t.sastdatetimereceived from t15 t inner join downloadersymbolsettings dss on t.symbolid = dss.symbolid where dss.classname = ? and dss.downloadersymbol in (...) and dss.downloadfrequency = ? and t.pricedatetime between ?::timestamp and ?::timestamp order by t.pricedatetime;

Times Reported Time consuming queries #18

Day	Hour	Count	Duration	Avg duration
Jan 13	04	486	0ms	0ms

19

469

Details

0ms

select downloadersymbol, spike_threshold from price_datafeed_spike_threshold where classname = ?;

Times Reported Time consuming queries #19

Day	Hour	Count	Duration	Avg duration
Jan 13	04	469	0ms	0ms

20

469

Details

0ms

select s.symbolid, dss.downloadfrequency, dss.downloadersymbol from downloadersymbolsettings dss inner join symbols s on dss.symbolid = s.symbolid where dss.classname = ? and s.deleted = ? and dss.enabled = ?;

Times Reported Time consuming queries #20

Day	Hour	Count	Duration	Avg duration
Jan 13	04	469	0ms	0ms

Normalized slowest queries (N)

Rank

Min duration

Max duration

Avg duration

Times executed

Total duration

Query

1

0ms

30

Details

0ms

select key, value from datasources ds inner join datasourceparams dsp on ds.id = dsp.datasourceid where ds.name = ?;

Times Reported Time consuming queries #1

Day	Hour	Count	Duration	Avg duration
Jan 13	04	30	0ms	0ms

2

0ms

1

Details

0ms

select distinct a.resultuid, a.breakoutbars, a.patternid, cast(a.x0 as timestamp) as x0, cast(a.x1 as timestamp) as x1, cast(x2 as timestamp) as x2, case when (x3 != ? and x3 != ?) then cast(x3 as timestamp) else cast(? as timestamp) end as x3, case when (x4 != ? and x4 != ?) then cast(x4 as timestamp) else cast(? as timestamp) end as x4, case when (x5 != ? and x5 != ?) then cast(x5 as timestamp) else cast(? as timestamp) end as x5, case when (x6 != ? and x6 != ?) then cast(x6 as timestamp) else cast(? as timestamp) end as x6, case when (x7 != ? and x7 != ?) then cast(x7 as timestamp) else cast(? as timestamp) end as x7, case when (x8 != ? and x8 != ?) then cast(x8 as timestamp) else cast(? as timestamp) end as x8, case when (x9 != ? and x9 != ?) then cast(x9 as timestamp) else cast(? as timestamp) end as x9, cast(a.atbaridentified as timestamp) as atbaridentified, cast(a.patternstarttime as timestamp) as patternstarttime, a.breakoutprice, a.symbolid, a.approachingregion, a.patternprice, a.errormargin, a.bandwidth, a.qtytp, a.patternlengthbars, a.symbolid, a.uniquepointsvalue, a.predictionpricefrom, a.predictionpriceto, a.breakout, a.direction, a.furthestprice, a.approachingtimestamp, a.atpriceidentified from keylevels_results a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid left outer join relevance_keylevels_results rkl on a.resultuid = rkl.resultuid where aus.enabled = ? and (rkl.relevant = ? or a.resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)) and aus.recognitionengine ilike ?;

Times Reported Time consuming queries #2

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

3

0ms

18

Details

0ms

with rar_max as ( select resultuid from relevance_bigmovement_results order by resultuid desc limit ? ) select bmr.symbolid, patternstarttime, patternendtime, timegranularity, ? as direction, case when bmr.old_resultuid = ? then bmr.old_resultuid else bmr.resultuid end as uid, s.exchange, s.symbol, s.longname, s.shortname, dtt.timezone, bmr.patternmovement, bmr.statisticalmovement, bmr.fromprice, bmr.toprice, bmr.percentile, bmr.patternlengthbars, case when rbr.age is not null then rbr.age when bmr.resultuid <= rm.resultuid then ? else ? end as age, case when rbr.relevant is not null then rbr.relevant when bmr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from bigmovement_results bmr inner join downloadersymbolsettings dss on bmr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on bmr.symbolid = s.symbolid inner join rar_max rm on ? = ? left outer join relevance_bigmovement_results rbr on rbr.resultuid = bmr.resultuid left join currencypips cps on cps.symbol = s.symbol where (bmr.old_resultuid = ? or bmr.resultuid = ?) and dtt.dayofweek = ?;

Times Reported Time consuming queries #3

Day	Hour	Count	Duration	Avg duration
Jan 13	04	18	0ms	0ms

4

0ms

2,299

Details

0ms

insert into t60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;

Times Reported Time consuming queries #4

Day	Hour	Count	Duration	Avg duration
Jan 13	04	2,299	0ms	0ms

5

0ms

48

Details

0ms

select count(*) from datafeeds_latestrun where feedname ilike ? and ((latestrxtime > current_timestamp - interval ? and latestdbwritetime > current_timestamp - interval ?) or (latestdbwritetime > current_timestamp - interval ? and lateststartuptime > current_timestamp - interval ?));

Times Reported Time consuming queries #5

Day	Hour	Count	Duration	Avg duration
Jan 13	04	48	0ms	0ms

6

0ms

4

Details

0ms

select updaterelevantforrelevantresults ();

Times Reported Time consuming queries #6

Day	Hour	Count	Duration	Avg duration
Jan 13	04	4	0ms	0ms

7

0ms

16

Details

0ms

set client_encoding to ?;

Times Reported Time consuming queries #7

Day	Hour	Count	Duration	Avg duration
Jan 13	04	16	0ms	0ms

8

0ms

346

Details

0ms

select pricedatetime, open, high, low, close, volume, bsf from t60 where symbolid = ? and pricedatetime > ? order by pricedatetime asc;

Times Reported Time consuming queries #8

Day	Hour	Count	Duration	Avg duration
Jan 13	04	346	0ms	0ms

9

0ms

18

Details

0ms

select cast(count(*) / cast(setting as numeric) * ? as int) from pg_stat_activity, pg_settings where name = ? group by setting;

Times Reported Time consuming queries #9

Day	Hour	Count	Duration	Avg duration
Jan 13	04	18	0ms	0ms

10

0ms

1

Details

0ms

select count(*) from autochartist_stocklist where base_engine = recognitionengine and enabled = ?;

Times Reported Time consuming queries #10

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

11

0ms

357

Details

0ms

commit;

Times Reported Time consuming queries #11

Day	Hour	Count	Duration	Avg duration
Jan 13	04	357	0ms	0ms

12

0ms

419

Details

0ms

with rar_max as ( 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 autochartist_symbolupdates au on dss.symbolid = au.symbolid 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 s.deleted = ? 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 <= ?) and kr.patternstarttime::timestamp without time zone >= coalesce(au.earliestpricedatetime, ?::timestamp without time zone) -- to make sure patternstarttime is in our t-tables ), 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 limit ?;

Times Reported Time consuming queries #12

Day	Hour	Count	Duration	Avg duration
Jan 13	04	419	0ms	0ms

13

0ms

240

Details

0ms

select count(*), sum(size), extract(epoch from now() - min(modification)) from pg_ls_waldir ();

Times Reported Time consuming queries #13

Day	Hour	Count	Duration	Avg duration
Jan 13	04	240	0ms	0ms

14

0ms

240

Details

0ms

select system_identifier from pg_control_system ();

Times Reported Time consuming queries #14

Day	Hour	Count	Duration	Avg duration
Jan 13	04	240	0ms	0ms

15

0ms

16

Details

0ms

set session characteristics as transaction isolation level read uncommitted;

Times Reported Time consuming queries #15

Day	Hour	Count	Duration	Avg duration
Jan 13	04	16	0ms	0ms

16

0ms

4

Details

0ms

select groupid, exchange, groupname, symbol, longname from prfsymboltree where brokerid = ? order by groupname, symbol;

Times Reported Time consuming queries #16

Day	Hour	Count	Duration	Avg duration
Jan 13	04	4	0ms	0ms

17

0ms

1

Details

0ms

insert into t15 (symbolid, pricedatetime, open, high, low, close, volume, bsf, sastdatetimereceived) values (?, ?::timestamp without time zone, ?, ?.?, ?.?, ?.?, ?, ?, ?::timestamp without time zone) on conflict (symbolid, pricedatetime) do nothing;

Times Reported Time consuming queries #17

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

18

0ms

1

Details

0ms

with a as ( select *, row_number() over (partition by symbolid, direction order by datetime desc) r from sa_hist_consecutivecandles ) select distinct a.symbolid, a.qty, a.percentile, a.direction from a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid where aus.enabled = ? and a.r = ? and aus.recognitionengine ilike ?;

Times Reported Time consuming queries #18

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

WITH a AS ( SELECT *, row_number() OVER (PARTITION BY symbolid, direction ORDER BY datetime DESC) r FROM sa_hist_consecutivecandles ) SELECT DISTINCT a.symbolid, a.qty, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'DXFEED_FX - 1';

Date: 2026-01-13 04:05:41 Duration: 0ms

19

0ms

1

Details

0ms

update keylevels_results set breakoutbars = ((?.? + (qtytp - 3. ?) / ?.?) * patternlengthbars) where breakoutbars = ? and symbolid in ( select distinct symbolid from autochartist_stocklist where recognitionengine ilike ?);

Times Reported Time consuming queries #19

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

20

0ms

1

Details

0ms

select distinct a.resultuid, a.symbolid, cast(a.patternendtime as timestamp) as patternendtime, a.resultuniqueindex from bigmovement_results_underlying a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid left outer join relevance_bigmovement_results rel on a.resultuid = rel.resultuid where aus.enabled = ? and (rel.relevant = ? or a.resultuid > ( select resultuid from relevance_bigmovement_results order by resultuid desc limit ?)) and aus.recognitionengine ilike ?;

Times Reported Time consuming queries #20

Day	Hour	Count	Duration	Avg duration
Jan 13	04	1	0ms	0ms

Time consuming prepare


Date: 2026-01-13 04:16:13
Duration: 20ms
Database: postgres
Date: 2026-01-13 04:14:12
Duration: 28ms
Database: postgres
Date: 2026-01-13 04:31:57
Duration: 11ms
Database: postgres
Date: 2026-01-13 04:33:28
Duration: 6ms
Database: postgres
Date: 2026-01-13 04:23:35
Duration: 5ms
Database: postgres
Date: 2026-01-13 04:01:04
Duration: 1ms
Database: postgres
Date: 2026-01-13 04:11:57
Duration: 0ms
Database: postgres
Date: 2026-01-13 04:00:04
Duration: 0ms
Database: postgres
Date: 2026-01-13 04:11:57
Duration: 0ms
Database: postgres
Date: 2026-01-13 04:10:11
Duration: 5ms
Database: postgres
Date: 2026-01-13 04:01:02
Duration: 0ms
Database: postgres
Date: 2026-01-13 04:28:03
Duration: 3ms
Database: postgres
Date: 2026-01-13 04:36:43
Duration: 7ms
Database: postgres
Date: 2026-01-13 04:12:14
Duration: 0ms
Database: postgres
Date: 2026-01-13 04:10:03
Duration: 3ms
Database: postgres
Date: 2026-01-13 04:01:53
Duration: 5ms
Database: postgres
Date: 2026-01-13 04:19:23
Duration: 1ms
Database: postgres
Date: 2026-01-13 04:14:23
Duration: 1ms
Database: postgres
Date: 2026-01-13 04:30:05
Duration: 3ms
Database: postgres
Date: 2026-01-13 04:56:17
Duration: 2ms
Database: postgres

Time consuming bind

Rank

Total duration

Times executed

Min duration

Max duration

Avg duration

Query

1

59s238ms

8,067

Details

0ms

60ms

7ms

WITH rar_max as ( ;

Times Reported Time consuming bind #1

Day	Hour	Count	Duration	Avg duration
Jan 13	04	8,067	59s238ms	7ms

WITH rar_max as ( ;

Date: 2026-01-13 04:21:47 Duration: 60ms Database: postgres parameters: $1 = '607492954853836301', $2 = '607492954853836301', $3 = '607492954853836301'
WITH rar_max as ( ;

Date: 2026-01-13 04:13:42 Duration: 57ms Database: postgres parameters: $1 = '607491064888093301', $2 = '607491064888093301', $3 = '607491064888093301'
WITH rar_max as ( ;

Date: 2026-01-13 04:06:10 Duration: 55ms Database: postgres parameters: $1 = '607470306222110301', $2 = '607470306222110301', $3 = '607470306222110301'

2

26s447ms

30,966

Details

0ms

39ms

0ms

SELECT ;

Times Reported Time consuming bind #2

Day	Hour	Count	Duration	Avg duration
	04	30,966	26s447ms	0ms

SELECT ;

Date: 2026-01-13 04:21:47 Duration: 39ms Database: postgres parameters: $1 = '958', $2 = '958', $3 = '515840217503237300'
SELECT ;

Date: 2026-01-13 04:19:34 Duration: 33ms Database: postgres parameters: $1 = '958', $2 = '958', $3 = '515840217503237300'
SELECT ;

Date: 2026-01-13 04:10:08 Duration: 33ms Database: postgres parameters: $1 = '958', $2 = '958', $3 = '515840243129828300'

3

2s42ms

927

Details

1ms

7ms

2ms

SELECT symbolid, ;

Times Reported Time consuming bind #3

Day	Hour	Count	Duration	Avg duration
	04	927	2s42ms	2ms

SELECT symbolid, ;

Date: 2026-01-13 04:01:02 Duration: 7ms Database: postgres parameters: $1 = 'BDSWISS', $2 = '240', $3 = 'ZECUSD'
SELECT symbolid, ;

Date: 2026-01-13 04:15:56 Duration: 4ms Database: postgres parameters: $1 = 'BDSWISS', $2 = '15', $3 = 'NZDUSD', $4 = 'NZDJPY', $5 = 'USDCHF', $6 = 'SPX500', $7 = 'US30', $8 = 'USDCAD', $9 = 'TRXUSD'
SELECT symbolid, ;

Date: 2026-01-13 04:20:03 Duration: 4ms Database: postgres parameters: $1 = 'ICMARKETS-AU-MT5', $2 = '15', $3 = 'QBE.ASX', $4 = 'SGDJPY', $5 = 'SEKJPY'

4

826ms

34,125

Details

0ms

13ms

0ms

select 1;

Times Reported Time consuming bind #4

Day	Hour	Count	Duration	Avg duration
	04	34,125	826ms	0ms

select 1;

Date: 2026-01-13 04:00:39 Duration: 13ms Database: postgres
select 1;

Date: 2026-01-13 04:44:02 Duration: 4ms Database: postgres
select 1;

Date: 2026-01-13 04:09:40 Duration: 4ms Database: postgres

5

744ms

469

Details

1ms

2ms

1ms

SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;

Times Reported Time consuming bind #5

Day	Hour	Count	Duration	Avg duration
	04	469	744ms	1ms

SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;

Date: 2026-01-13 04:01:04 Duration: 2ms Database: postgres parameters: $1 = 'MILLENNIUMPF'
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;

Date: 2026-01-13 04:01:05 Duration: 2ms Database: postgres parameters: $1 = 'FPMARKETS'
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;

Date: 2026-01-13 04:31:00 Duration: 2ms Database: postgres parameters: $1 = 'GLOBALGTMT5'

6

636ms

90

Details

4ms

17ms

7ms

WITH last_candle AS ( ;

Times Reported Time consuming bind #6

Day	Hour	Count	Duration	Avg duration
	04	90	636ms	7ms

WITH last_candle AS ( ;

Date: 2026-01-13 04:56:03 Duration: 17ms Database: postgres parameters: $1 = '667', $2 = '667'
WITH last_candle AS ( ;

Date: 2026-01-13 04:28:03 Duration: 13ms Database: postgres parameters: $1 = '538', $2 = '538'
WITH last_candle AS ( ;

Date: 2026-01-13 04:32:00 Duration: 12ms Database: postgres parameters: $1 = '558', $2 = '558'

7

372ms

23

Details

0ms

40ms

16ms

with wh_patitioned as ( ;

Times Reported Time consuming bind #7

Day	Hour	Count	Duration	Avg duration
	04	23	372ms	16ms

with wh_patitioned as ( ;

Date: 2026-01-13 04:21:49 Duration: 40ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '558', $4 = '558', $5 = '558', $6 = '558', $7 = '558', $8 = '558', $9 = '558'
with wh_patitioned as ( ;

Date: 2026-01-13 04:10:01 Duration: 31ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '558', $4 = '558', $5 = '558', $6 = '558', $7 = '558', $8 = '558', $9 = '558'
with wh_patitioned as ( ;

Date: 2026-01-13 04:40:02 Duration: 30ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '558', $4 = '558', $5 = '558', $6 = '558', $7 = '558', $8 = '558', $9 = '558'

8

335ms

8

Details

29ms

44ms

41ms

with sym_info as ( ;

Times Reported Time consuming bind #8

Day	Hour	Count	Duration	Avg duration
	04	8	335ms	41ms

with sym_info as ( ;

Date: 2026-01-13 04:36:43 Duration: 44ms Database: postgres parameters: $1 = '620', $2 = 'Forex', $3 = 'Forex', $4 = '620', $5 = 'Forex', $6 = '620', $7 = '620', $8 = 'Forex', $9 = '620'
with sym_info as ( ;

Date: 2026-01-13 04:06:55 Duration: 44ms Database: postgres parameters: $1 = '692', $2 = 'Forex', $3 = 'Forex', $4 = '692', $5 = 'Forex', $6 = '692', $7 = '692', $8 = 'Forex', $9 = '692'
with sym_info as ( ;

Date: 2026-01-13 04:36:55 Duration: 44ms Database: postgres parameters: $1 = '692', $2 = 'Forex', $3 = 'Forex', $4 = '692', $5 = 'Forex', $6 = '692', $7 = '692', $8 = 'Forex', $9 = '692'

9

321ms

65

Details

0ms

20ms

4ms

WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;

Times Reported Time consuming bind #9

Day	Hour	Count	Duration	Avg duration
	04	65	321ms	4ms

WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;

Date: 2026-01-13 04:06:40 Duration: 20ms Database: postgres parameters: $1 = '667', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;

Date: 2026-01-13 04:03:16 Duration: 13ms Database: postgres parameters: $1 = '689', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;

Date: 2026-01-13 04:10:03 Duration: 12ms Database: postgres parameters: $1 = '689', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'

10

227ms

3,331

Details

0ms

INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Times Reported Time consuming bind #10

Day	Hour	Count	Duration	Avg duration
	04	3,331	227ms	0ms

INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:11:57 Duration: 0ms Database: postgres parameters: $1 = '2026-01-13 03:30:00', $2 = '49519.7', $3 = '49555.2', $4 = '49513.2', $5 = '49546.7', $6 = '5196', $7 = '515840248000726300', $8 = '0', $9 = '2026-01-13 04:11:57.143', $10 = '2026-01-13 04:11:56.989', $11 = '49519.7', $12 = '49555.2', $13 = '49513.2', $14 = '49546.7', $15 = '5196', $16 = '0', $17 = '2026-01-13 04:11:57.143', $18 = '2026-01-13 04:11:56.989'
INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:41:53 Duration: 0ms Database: postgres parameters: $1 = '2026-01-13 03:30:00', $2 = '27053.2', $3 = '27151.7', $4 = '27001', $5 = '27078.7', $6 = '14713', $7 = '515840247933633300', $8 = '0', $9 = '2026-01-13 04:41:53.003', $10 = '2026-01-13 04:41:52.932', $11 = '27053.2', $12 = '27151.7', $13 = '27001', $14 = '27078.7', $15 = '14713', $16 = '0', $17 = '2026-01-13 04:41:53.003', $18 = '2026-01-13 04:41:52.932'
INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:40:56 Duration: 0ms Database: postgres parameters: $1 = '2026-01-13 03:30:00', $2 = '49519.7', $3 = '49555.2', $4 = '49513.2', $5 = '49546.7', $6 = '5196', $7 = '515840248000726300', $8 = '0', $9 = '2026-01-13 04:40:56.732', $10 = '2026-01-13 04:40:56.653', $11 = '49519.7', $12 = '49555.2', $13 = '49513.2', $14 = '49546.7', $15 = '5196', $16 = '0', $17 = '2026-01-13 04:40:56.732', $18 = '2026-01-13 04:40:56.653'

11

209ms

5,501

Details

0ms

INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Times Reported Time consuming bind #11

Day	Hour	Count	Duration	Avg duration
	04	5,501	209ms	0ms

INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:26:53 Duration: 0ms Database: postgres parameters: $1 = '2026-01-13 04:00:00', $2 = '25718.03', $3 = '25726.78', $4 = '25711.15', $5 = '25711.28', $6 = '3703', $7 = '515840248038958300', $8 = '0', $9 = '2026-01-13 04:26:53.943', $10 = '2026-01-13 04:26:53.87', $11 = '25718.03', $12 = '25726.78', $13 = '25711.15', $14 = '25711.28', $15 = '3703', $16 = '0', $17 = '2026-01-13 04:26:53.943', $18 = '2026-01-13 04:26:53.87'
INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:26:43 Duration: 0ms Database: postgres parameters: $1 = '2026-01-13 04:00:00', $2 = '8843.95', $3 = '8848.9', $4 = '8843.4', $5 = '8848', $6 = '1444', $7 = '515840248015086300', $8 = '0', $9 = '2026-01-13 04:26:43.896', $10 = '2026-01-13 04:26:43.825', $11 = '8843.95', $12 = '8848.9', $13 = '8843.4', $14 = '8848', $15 = '1444', $16 = '0', $17 = '2026-01-13 04:26:43.896', $18 = '2026-01-13 04:26:43.825'
INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:56:57 Duration: 0ms Database: postgres parameters: $1 = '2026-01-13 04:30:00', $2 = '49554.8', $3 = '49566.7', $4 = '49554.55', $5 = '49566.35', $6 = '1493', $7 = '515840248000537300', $8 = '0', $9 = '2026-01-13 04:56:57.831', $10 = '2026-01-13 04:56:57.763', $11 = '49554.8', $12 = '49566.7', $13 = '49554.55', $14 = '49566.35', $15 = '1493', $16 = '0', $17 = '2026-01-13 04:56:57.831', $18 = '2026-01-13 04:56:57.763'

12

167ms

2,299

Details

0ms

INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Times Reported Time consuming bind #12

Day	Hour	Count	Duration	Avg duration
	04	2,299	167ms	0ms

INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:01:53 Duration: 0ms Database: postgres parameters: $1 = '2026-01-12 22:00:00', $2 = '566.33', $3 = '568.2', $4 = '565.33', $5 = '566.57', $6 = '837', $7 = '515840249431852300', $8 = '0', $9 = '2026-01-13 04:01:53.473', $10 = '2026-01-13 04:01:53.473', $11 = '566.33', $12 = '568.2', $13 = '565.33', $14 = '566.57', $15 = '837', $16 = '0', $17 = '2026-01-13 04:01:53.473', $18 = '2026-01-13 04:01:53.473'
INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:16:01 Duration: 0ms Database: postgres parameters: $1 = '2026-01-13 01:00:00', $2 = '15.55', $3 = '15.6', $4 = '15.55', $5 = '15.6', $6 = '27', $7 = '515840218043336300', $8 = '0', $9 = '2026-01-13 04:16:01.776', $10 = '2026-01-13 04:16:01.263', $11 = '15.55', $12 = '15.6', $13 = '15.55', $14 = '15.6', $15 = '27', $16 = '0', $17 = '2026-01-13 04:16:01.776', $18 = '2026-01-13 04:16:01.263'
INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:02:00 Duration: 0ms Database: postgres parameters: $1 = '2026-01-13 01:00:00', $2 = '15.55', $3 = '15.6', $4 = '15.55', $5 = '15.6', $6 = '27', $7 = '515840218043336300', $8 = '0', $9 = '2026-01-13 04:02:00.737', $10 = '2026-01-13 04:02:00.737', $11 = '15.55', $12 = '15.6', $13 = '15.55', $14 = '15.6', $15 = '27', $16 = '0', $17 = '2026-01-13 04:02:00.737', $18 = '2026-01-13 04:02:00.737'

13

124ms

1,454

Details

0ms

INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Times Reported Time consuming bind #13

Day	Hour	Count	Duration	Avg duration
	04	1,454	124ms	0ms

INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:02:06 Duration: 0ms Database: postgres parameters: $1 = '2026-01-13 00:00:00', $2 = '0.67119', $3 = '0.67161', $4 = '0.67083', $5 = '0.67124', $6 = '6268', $7 = '515840230435554300', $8 = '0', $9 = '2026-01-13 04:02:06.871', $10 = '2026-01-13 04:02:06.87', $11 = '0.67119', $12 = '0.67161', $13 = '0.67083', $14 = '0.67124', $15 = '6268', $16 = '0', $17 = '2026-01-13 04:02:06.871', $18 = '2026-01-13 04:02:06.87'
INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:11:57 Duration: 0ms Database: postgres parameters: $1 = '2026-01-12 21:00:00', $2 = '49499.8', $3 = '49623.8', $4 = '49484.8', $5 = '49562.9', $6 = '47920', $7 = '515840248001054300', $8 = '0', $9 = '2026-01-13 04:11:57.194', $10 = '2026-01-13 04:11:57.009', $11 = '49499.8', $12 = '49623.8', $13 = '49484.8', $14 = '49562.9', $15 = '47920', $16 = '0', $17 = '2026-01-13 04:11:57.194', $18 = '2026-01-13 04:11:57.009'
INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;

Date: 2026-01-13 04:31:00 Duration: 0ms Database: postgres parameters: $1 = '2026-01-13 00:00:00', $2 = '7.46992', $3 = '7.46995', $4 = '7.46952', $5 = '7.46952', $6 = '56', $7 = '515840233469920300', $8 = '0', $9 = '2026-01-13 04:31:00.423', $10 = '2026-01-13 04:31:00.423', $11 = '7.46992', $12 = '7.46995', $13 = '7.46952', $14 = '7.46952', $15 = '56', $16 = '0', $17 = '2026-01-13 04:31:00.423', $18 = '2026-01-13 04:31:00.423'

14

123ms

207

Details

0ms

1ms

0ms

SELECT NULL AS TABLE_CAT, n.nspname AS TABLE_SCHEM, c.relname AS TABLE_NAME, CASE n.nspname ~ '^pg_' OR n.nspname = 'information_schema' WHEN true THEN CASE WHEN n.nspname = 'pg_catalog' OR n.nspname = 'information_schema' THEN CASE c.relkind WHEN 'r' THEN 'SYSTEM TABLE' WHEN 'v' THEN 'SYSTEM VIEW' WHEN 'i' THEN 'SYSTEM INDEX' ELSE NULL END WHEN n.nspname = 'pg_toast' THEN CASE c.relkind WHEN 'r' THEN 'SYSTEM TOAST TABLE' WHEN 'i' THEN 'SYSTEM TOAST INDEX' ELSE NULL END ELSE CASE c.relkind WHEN 'r' THEN 'TEMPORARY TABLE' WHEN 'p' THEN 'TEMPORARY TABLE' WHEN 'i' THEN 'TEMPORARY INDEX' WHEN 'S' THEN 'TEMPORARY SEQUENCE' WHEN 'v' THEN 'TEMPORARY VIEW' ELSE NULL END END WHEN false THEN CASE c.relkind WHEN 'r' THEN 'TABLE' WHEN 'p' THEN 'PARTITIONED TABLE' WHEN 'i' THEN 'INDEX' WHEN 'S' THEN 'SEQUENCE' WHEN 'v' THEN 'VIEW' WHEN 'c' THEN 'TYPE' WHEN 'f' THEN 'FOREIGN TABLE' WHEN 'm' THEN 'MATERIALIZED VIEW' ELSE NULL END ELSE NULL END AS TABLE_TYPE, d.description AS REMARKS, '' as TYPE_CAT, '' as TYPE_SCHEM, '' as TYPE_NAME, '' AS SELF_REFERENCING_COL_NAME, '' AS REF_GENERATION FROM pg_catalog.pg_namespace n, pg_catalog.pg_class c LEFT JOIN pg_catalog.pg_description d ON (c.oid = d.objoid AND d.objsubid = 0) LEFT JOIN pg_catalog.pg_class dc ON (d.classoid = dc.oid AND dc.relname = 'pg_class') LEFT JOIN pg_catalog.pg_namespace dn ON (dn.oid = dc.relnamespace AND dn.nspname = 'pg_catalog') WHERE c.relnamespace = n.oid AND c.relname LIKE 'PROBABLYNOT' AND (false OR (c.relkind = 'r' AND n.nspname !~ '^pg_' AND n.nspname <> 'information_schema')) ORDER BY TABLE_TYPE, TABLE_SCHEM, TABLE_NAME;

Times Reported Time consuming bind #14

Day	Hour	Count	Duration	Avg duration
	04	207	123ms	0ms

SELECT NULL AS TABLE_CAT, n.nspname AS TABLE_SCHEM, c.relname AS TABLE_NAME, CASE n.nspname ~ '^pg_' OR n.nspname = 'information_schema' WHEN true THEN CASE WHEN n.nspname = 'pg_catalog' OR n.nspname = 'information_schema' THEN CASE c.relkind WHEN 'r' THEN 'SYSTEM TABLE' WHEN 'v' THEN 'SYSTEM VIEW' WHEN 'i' THEN 'SYSTEM INDEX' ELSE NULL END WHEN n.nspname = 'pg_toast' THEN CASE c.relkind WHEN 'r' THEN 'SYSTEM TOAST TABLE' WHEN 'i' THEN 'SYSTEM TOAST INDEX' ELSE NULL END ELSE CASE c.relkind WHEN 'r' THEN 'TEMPORARY TABLE' WHEN 'p' THEN 'TEMPORARY TABLE' WHEN 'i' THEN 'TEMPORARY INDEX' WHEN 'S' THEN 'TEMPORARY SEQUENCE' WHEN 'v' THEN 'TEMPORARY VIEW' ELSE NULL END END WHEN false THEN CASE c.relkind WHEN 'r' THEN 'TABLE' WHEN 'p' THEN 'PARTITIONED TABLE' WHEN 'i' THEN 'INDEX' WHEN 'S' THEN 'SEQUENCE' WHEN 'v' THEN 'VIEW' WHEN 'c' THEN 'TYPE' WHEN 'f' THEN 'FOREIGN TABLE' WHEN 'm' THEN 'MATERIALIZED VIEW' ELSE NULL END ELSE NULL END AS TABLE_TYPE, d.description AS REMARKS, '' as TYPE_CAT, '' as TYPE_SCHEM, '' as TYPE_NAME, '' AS SELF_REFERENCING_COL_NAME, '' AS REF_GENERATION FROM pg_catalog.pg_namespace n, pg_catalog.pg_class c LEFT JOIN pg_catalog.pg_description d ON (c.oid = d.objoid AND d.objsubid = 0) LEFT JOIN pg_catalog.pg_class dc ON (d.classoid = dc.oid AND dc.relname = 'pg_class') LEFT JOIN pg_catalog.pg_namespace dn ON (dn.oid = dc.relnamespace AND dn.nspname = 'pg_catalog') WHERE c.relnamespace = n.oid AND c.relname LIKE 'PROBABLYNOT' AND (false OR (c.relkind = 'r' AND n.nspname !~ '^pg_' AND n.nspname <> 'information_schema')) ORDER BY TABLE_TYPE, TABLE_SCHEM, TABLE_NAME;

Date: 2026-01-13 04:12:12 Duration: 1ms Database: postgres
SELECT NULL AS TABLE_CAT, n.nspname AS TABLE_SCHEM, c.relname AS TABLE_NAME, CASE n.nspname ~ '^pg_' OR n.nspname = 'information_schema' WHEN true THEN CASE WHEN n.nspname = 'pg_catalog' OR n.nspname = 'information_schema' THEN CASE c.relkind WHEN 'r' THEN 'SYSTEM TABLE' WHEN 'v' THEN 'SYSTEM VIEW' WHEN 'i' THEN 'SYSTEM INDEX' ELSE NULL END WHEN n.nspname = 'pg_toast' THEN CASE c.relkind WHEN 'r' THEN 'SYSTEM TOAST TABLE' WHEN 'i' THEN 'SYSTEM TOAST INDEX' ELSE NULL END ELSE CASE c.relkind WHEN 'r' THEN 'TEMPORARY TABLE' WHEN 'p' THEN 'TEMPORARY TABLE' WHEN 'i' THEN 'TEMPORARY INDEX' WHEN 'S' THEN 'TEMPORARY SEQUENCE' WHEN 'v' THEN 'TEMPORARY VIEW' ELSE NULL END END WHEN false THEN CASE c.relkind WHEN 'r' THEN 'TABLE' WHEN 'p' THEN 'PARTITIONED TABLE' WHEN 'i' THEN 'INDEX' WHEN 'S' THEN 'SEQUENCE' WHEN 'v' THEN 'VIEW' WHEN 'c' THEN 'TYPE' WHEN 'f' THEN 'FOREIGN TABLE' WHEN 'm' THEN 'MATERIALIZED VIEW' ELSE NULL END ELSE NULL END AS TABLE_TYPE, d.description AS REMARKS, '' as TYPE_CAT, '' as TYPE_SCHEM, '' as TYPE_NAME, '' AS SELF_REFERENCING_COL_NAME, '' AS REF_GENERATION FROM pg_catalog.pg_namespace n, pg_catalog.pg_class c LEFT JOIN pg_catalog.pg_description d ON (c.oid = d.objoid AND d.objsubid = 0) LEFT JOIN pg_catalog.pg_class dc ON (d.classoid = dc.oid AND dc.relname = 'pg_class') LEFT JOIN pg_catalog.pg_namespace dn ON (dn.oid = dc.relnamespace AND dn.nspname = 'pg_catalog') WHERE c.relnamespace = n.oid AND c.relname LIKE 'PROBABLYNOT' AND (false OR (c.relkind = 'r' AND n.nspname !~ '^pg_' AND n.nspname <> 'information_schema')) ORDER BY TABLE_TYPE, TABLE_SCHEM, TABLE_NAME;

Date: 2026-01-13 04:12:14 Duration: 1ms Database: postgres
SELECT NULL AS TABLE_CAT, n.nspname AS TABLE_SCHEM, c.relname AS TABLE_NAME, CASE n.nspname ~ '^pg_' OR n.nspname = 'information_schema' WHEN true THEN CASE WHEN n.nspname = 'pg_catalog' OR n.nspname = 'information_schema' THEN CASE c.relkind WHEN 'r' THEN 'SYSTEM TABLE' WHEN 'v' THEN 'SYSTEM VIEW' WHEN 'i' THEN 'SYSTEM INDEX' ELSE NULL END WHEN n.nspname = 'pg_toast' THEN CASE c.relkind WHEN 'r' THEN 'SYSTEM TOAST TABLE' WHEN 'i' THEN 'SYSTEM TOAST INDEX' ELSE NULL END ELSE CASE c.relkind WHEN 'r' THEN 'TEMPORARY TABLE' WHEN 'p' THEN 'TEMPORARY TABLE' WHEN 'i' THEN 'TEMPORARY INDEX' WHEN 'S' THEN 'TEMPORARY SEQUENCE' WHEN 'v' THEN 'TEMPORARY VIEW' ELSE NULL END END WHEN false THEN CASE c.relkind WHEN 'r' THEN 'TABLE' WHEN 'p' THEN 'PARTITIONED TABLE' WHEN 'i' THEN 'INDEX' WHEN 'S' THEN 'SEQUENCE' WHEN 'v' THEN 'VIEW' WHEN 'c' THEN 'TYPE' WHEN 'f' THEN 'FOREIGN TABLE' WHEN 'm' THEN 'MATERIALIZED VIEW' ELSE NULL END ELSE NULL END AS TABLE_TYPE, d.description AS REMARKS, '' as TYPE_CAT, '' as TYPE_SCHEM, '' as TYPE_NAME, '' AS SELF_REFERENCING_COL_NAME, '' AS REF_GENERATION FROM pg_catalog.pg_namespace n, pg_catalog.pg_class c LEFT JOIN pg_catalog.pg_description d ON (c.oid = d.objoid AND d.objsubid = 0) LEFT JOIN pg_catalog.pg_class dc ON (d.classoid = dc.oid AND dc.relname = 'pg_class') LEFT JOIN pg_catalog.pg_namespace dn ON (dn.oid = dc.relnamespace AND dn.nspname = 'pg_catalog') WHERE c.relnamespace = n.oid AND c.relname LIKE 'PROBABLYNOT' AND (false OR (c.relkind = 'r' AND n.nspname !~ '^pg_' AND n.nspname <> 'information_schema')) ORDER BY TABLE_TYPE, TABLE_SCHEM, TABLE_NAME;

Date: 2026-01-13 04:12:14 Duration: 1ms Database: postgres

15

80ms

24

Details

1ms

25ms

3ms

WITH rcr_max as ( ;

Times Reported Time consuming bind #15

Day	Hour	Count	Duration	Avg duration
	04	24	80ms	3ms

WITH rcr_max as ( ;

Date: 2026-01-13 04:56:17 Duration: 25ms Database: postgres parameters: $1 = '607494113844363305', $2 = '607494113844363305', $3 = '607494113844363305'
WITH rcr_max as ( ;

Date: 2026-01-13 04:50:31 Duration: 6ms Database: postgres parameters: $1 = '607494113844363305', $2 = '607494113844363305', $3 = '607494113844363305'
WITH rcr_max as ( ;

Date: 2026-01-13 04:08:16 Duration: 5ms Database: postgres parameters: $1 = '607494108527894305', $2 = '607494108527894305', $3 = '607494108527894305'

16

77ms

81

Details

0ms

1ms

0ms

SELECT timegranularity FROM brokersymbollist bsl INNER JOIN symbols s ON bsl.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $1 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 AND s.symbol ILIKE $2 AND bsl.brokerid = $3 AND timegranularity >= 15 ORDER BY timegranularity LIMIT 1;

Times Reported Time consuming bind #16

Day	Hour	Count	Duration	Avg duration
	04	81	77ms	0ms

SELECT timegranularity FROM brokersymbollist bsl INNER JOIN symbols s ON bsl.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $1 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 AND s.symbol ILIKE $2 AND bsl.brokerid = $3 AND timegranularity >= 15 ORDER BY timegranularity LIMIT 1;

Date: 2026-01-13 04:16:44 Duration: 1ms Database: postgres parameters: $1 = '689', $2 = 'XAUUSD', $3 = '689'
SELECT timegranularity FROM brokersymbollist bsl INNER JOIN symbols s ON bsl.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $1 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 AND s.symbol ILIKE $2 AND bsl.brokerid = $3 AND timegranularity >= 15 ORDER BY timegranularity LIMIT 1;

Date: 2026-01-13 04:01:46 Duration: 1ms Database: postgres parameters: $1 = '558', $2 = 'JP225', $3 = '558'
SELECT timegranularity FROM brokersymbollist bsl INNER JOIN symbols s ON bsl.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $1 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 AND s.symbol ILIKE $2 AND bsl.brokerid = $3 AND timegranularity >= 15 ORDER BY timegranularity LIMIT 1;

Date: 2026-01-13 04:01:46 Duration: 1ms Database: postgres parameters: $1 = '558', $2 = 'JP225', $3 = '558'

17

51ms

1

Details

51ms

with maxwhid as ( ;

Times Reported Time consuming bind #17

Day	Hour	Count	Duration	Avg duration
	04	1	51ms	51ms

with maxwhid as ( ;

Date: 2026-01-13 04:12:15 Duration: 51ms Database: postgres parameters: $1 = '335', $2 = '621', $3 = '637', $4 = '642', $5 = '666', $6 = '660', $7 = '643', $8 = '630', $9 = '680', $10 = '641', $11 = '431', $12 = '622', $13 = '489', $14 = '529', $15 = '576', $16 = '665', $17 = '667', $18 = '558', $19 = '620', $20 = '125', $21 = '488', $22 = '567', $23 = '689', $24 = '700', $25 = '758', $26 = '763', $27 = '765', $28 = '817', $29 = '914', $30 = '972'

18

50ms

8

Details

3ms

10ms

6ms

WITH pre_symbols AS ( /* find relevant symbols */ ;

Times Reported Time consuming bind #18

Day	Hour	Count	Duration	Avg duration
	04	8	50ms	6ms

WITH pre_symbols AS ( /* find relevant symbols */ ;

Date: 2026-01-13 04:12:11 Duration: 10ms Database: postgres parameters: $1 = '1018', $2 = 'ICMARKETS-AU-MT5', $3 = 'AAPL.NAS', $4 = 'ABBV.NYSE', $5 = 'AMCR.NYSE', $6 = 'AMP.NYSE', $7 = 'AMZN.NAS', $8 = 'ANZ.ASX', $9 = 'AUDJPY', $10 = 'AUDUSD', $11 = 'AUS200', $12 = 'BABA.NYSE', $13 = 'BIIB.NAS', $14 = 'BXB.ASX', $15 = 'CBA.ASX', $16 = 'CHINA50', $17 = 'CSL.ASX', $18 = 'DE30', $19 = 'ES35', $20 = 'EURCHF', $21 = 'EURGBP', $22 = 'EURUSD', $23 = 'F40', $24 = 'FMG.ASX', $25 = 'GBPJPY', $26 = 'GBPUSD', $27 = 'GOOG.NAS', $28 = 'HK50', $29 = 'IT40', $30 = 'JP225', $31 = 'KO.NYSE', $32 = 'MQG.ASX', $33 = 'MSFT.NAS', $34 = 'NAB.ASX', $35 = 'NFLX.NAS', $36 = 'PYPL.NAS', $37 = 'QBE.ASX', $38 = 'STOXX50', $39 = 'SUN.ASX', $40 = 'TCL.ASX', $41 = 'TLS.ASX', $42 = 'TSLA.NAS', $43 = 'UK100', $44 = 'UNH.NYSE', $45 = 'US2000', $46 = 'US30', $47 = 'US500', $48 = 'USDCAD', $49 = 'USDCHF', $50 = 'USDCNH', $51 = 'USDJPY', $52 = 'USTEC', $53 = 'WBC.ASX', $54 = 'WES.ASX', $55 = 'WOW.ASX', $56 = 'WPL.ASX', $57 = 'XAUEUR', $58 = 'XAUUSD', $59 = 'XBRUSD', $60 = 'XTIUSD', $61 = 'AAPL.NAS', $62 = 'ABBV.NYSE', $63 = 'AMCR.NYSE', $64 = 'AMP.NYSE', $65 = 'AMZN.NAS', $66 = 'ANZ.ASX', $67 = 'AUDJPY', $68 = 'AUDUSD', $69 = 'AUS200', $70 = 'BABA.NYSE', $71 = 'BIIB.NAS', $72 = 'BXB.ASX', $73 = 'CBA.ASX', $74 = 'CHINA50', $75 = 'CSL.ASX', $76 = 'DE30', $77 = 'ES35', $78 = 'EURCHF', $79 = 'EURGBP', $80 = 'EURUSD', $81 = 'F40', $82 = 'FMG.ASX', $83 = 'GBPJPY', $84 = 'GBPUSD', $85 = 'GOOG.NAS', $86 = 'HK50', $87 = 'IT40', $88 = 'JP225', $89 = 'KO.NYSE', $90 = 'MQG.ASX', $91 = 'MSFT.NAS', $92 = 'NAB.ASX', $93 = 'NFLX.NAS', $94 = 'PYPL.NAS', $95 = 'QBE.ASX', $96 = 'STOXX50', $97 = 'SUN.ASX', $98 = 'TCL.ASX', $99 = 'TLS.ASX', $100 = 'TSLA.NAS', $101 = 'UK100', $102 = 'UNH.NYSE', $103 = 'US2000', $104 = 'US30', $105 = 'US500', $106 = 'USDCAD', $107 = 'USDCHF', $108 = 'USDCNH', $109 = 'USDJPY', $110 = 'USTEC', $111 = 'WBC.ASX', $112 = 'WES.ASX', $113 = 'WOW.ASX', $114 = 'WPL.ASX', $115 = 'XAUEUR', $116 = 'XAUUSD', $117 = 'XBRUSD', $118 = 'XTIUSD', $119 = '5'
WITH pre_symbols AS ( /* find relevant symbols */ ;

Date: 2026-01-13 04:12:12 Duration: 7ms Database: postgres parameters: $1 = '1018', $2 = 'ICMARKETS-AU-MT5', $3 = 'AAPL.NAS', $4 = 'ABBV.NYSE', $5 = 'AMCR.NYSE', $6 = 'AMP.NYSE', $7 = 'AMZN.NAS', $8 = 'ANZ.ASX', $9 = 'AUDJPY', $10 = 'AUDUSD', $11 = 'AUS200', $12 = 'BABA.NYSE', $13 = 'BIIB.NAS', $14 = 'BXB.ASX', $15 = 'CBA.ASX', $16 = 'CHINA50', $17 = 'CSL.ASX', $18 = 'DE30', $19 = 'ES35', $20 = 'EURCHF', $21 = 'EURGBP', $22 = 'EURUSD', $23 = 'F40', $24 = 'FMG.ASX', $25 = 'GBPJPY', $26 = 'GBPUSD', $27 = 'GOOG.NAS', $28 = 'HK50', $29 = 'IT40', $30 = 'JP225', $31 = 'KO.NYSE', $32 = 'MQG.ASX', $33 = 'MSFT.NAS', $34 = 'NAB.ASX', $35 = 'NFLX.NAS', $36 = 'PYPL.NAS', $37 = 'QBE.ASX', $38 = 'STOXX50', $39 = 'SUN.ASX', $40 = 'TCL.ASX', $41 = 'TLS.ASX', $42 = 'TSLA.NAS', $43 = 'UK100', $44 = 'UNH.NYSE', $45 = 'US2000', $46 = 'US30', $47 = 'US500', $48 = 'USDCAD', $49 = 'USDCHF', $50 = 'USDCNH', $51 = 'USDJPY', $52 = 'USTEC', $53 = 'WBC.ASX', $54 = 'WES.ASX', $55 = 'WOW.ASX', $56 = 'WPL.ASX', $57 = 'XAUEUR', $58 = 'XAUUSD', $59 = 'XBRUSD', $60 = 'XTIUSD', $61 = 'AAPL.NAS', $62 = 'ABBV.NYSE', $63 = 'AMCR.NYSE', $64 = 'AMP.NYSE', $65 = 'AMZN.NAS', $66 = 'ANZ.ASX', $67 = 'AUDJPY', $68 = 'AUDUSD', $69 = 'AUS200', $70 = 'BABA.NYSE', $71 = 'BIIB.NAS', $72 = 'BXB.ASX', $73 = 'CBA.ASX', $74 = 'CHINA50', $75 = 'CSL.ASX', $76 = 'DE30', $77 = 'ES35', $78 = 'EURCHF', $79 = 'EURGBP', $80 = 'EURUSD', $81 = 'F40', $82 = 'FMG.ASX', $83 = 'GBPJPY', $84 = 'GBPUSD', $85 = 'GOOG.NAS', $86 = 'HK50', $87 = 'IT40', $88 = 'JP225', $89 = 'KO.NYSE', $90 = 'MQG.ASX', $91 = 'MSFT.NAS', $92 = 'NAB.ASX', $93 = 'NFLX.NAS', $94 = 'PYPL.NAS', $95 = 'QBE.ASX', $96 = 'STOXX50', $97 = 'SUN.ASX', $98 = 'TCL.ASX', $99 = 'TLS.ASX', $100 = 'TSLA.NAS', $101 = 'UK100', $102 = 'UNH.NYSE', $103 = 'US2000', $104 = 'US30', $105 = 'US500', $106 = 'USDCAD', $107 = 'USDCHF', $108 = 'USDCNH', $109 = 'USDJPY', $110 = 'USTEC', $111 = 'WBC.ASX', $112 = 'WES.ASX', $113 = 'WOW.ASX', $114 = 'WPL.ASX', $115 = 'XAUEUR', $116 = 'XAUUSD', $117 = 'XBRUSD', $118 = 'XTIUSD', $119 = '5'
WITH pre_symbols AS ( /* find relevant symbols */ ;

Date: 2026-01-13 04:12:11 Duration: 7ms Database: postgres parameters: $1 = '1018', $2 = 'ICMARKETS-AU-MT5', $3 = 'AAPL.NAS', $4 = 'ABBV.NYSE', $5 = 'AMCR.NYSE', $6 = 'AMP.NYSE', $7 = 'AMZN.NAS', $8 = 'ANZ.ASX', $9 = 'AUDJPY', $10 = 'AUDUSD', $11 = 'AUS200', $12 = 'BABA.NYSE', $13 = 'BIIB.NAS', $14 = 'BXB.ASX', $15 = 'CBA.ASX', $16 = 'CHINA50', $17 = 'CSL.ASX', $18 = 'DE30', $19 = 'ES35', $20 = 'EURCHF', $21 = 'EURGBP', $22 = 'EURUSD', $23 = 'F40', $24 = 'FMG.ASX', $25 = 'GBPJPY', $26 = 'GBPUSD', $27 = 'GOOG.NAS', $28 = 'HK50', $29 = 'IT40', $30 = 'JP225', $31 = 'KO.NYSE', $32 = 'MQG.ASX', $33 = 'MSFT.NAS', $34 = 'NAB.ASX', $35 = 'NFLX.NAS', $36 = 'PYPL.NAS', $37 = 'QBE.ASX', $38 = 'STOXX50', $39 = 'SUN.ASX', $40 = 'TCL.ASX', $41 = 'TLS.ASX', $42 = 'TSLA.NAS', $43 = 'UK100', $44 = 'UNH.NYSE', $45 = 'US2000', $46 = 'US30', $47 = 'US500', $48 = 'USDCAD', $49 = 'USDCHF', $50 = 'USDCNH', $51 = 'USDJPY', $52 = 'USTEC', $53 = 'WBC.ASX', $54 = 'WES.ASX', $55 = 'WOW.ASX', $56 = 'WPL.ASX', $57 = 'XAUEUR', $58 = 'XAUUSD', $59 = 'XBRUSD', $60 = 'XTIUSD', $61 = 'AAPL.NAS', $62 = 'ABBV.NYSE', $63 = 'AMCR.NYSE', $64 = 'AMP.NYSE', $65 = 'AMZN.NAS', $66 = 'ANZ.ASX', $67 = 'AUDJPY', $68 = 'AUDUSD', $69 = 'AUS200', $70 = 'BABA.NYSE', $71 = 'BIIB.NAS', $72 = 'BXB.ASX', $73 = 'CBA.ASX', $74 = 'CHINA50', $75 = 'CSL.ASX', $76 = 'DE30', $77 = 'ES35', $78 = 'EURCHF', $79 = 'EURGBP', $80 = 'EURUSD', $81 = 'F40', $82 = 'FMG.ASX', $83 = 'GBPJPY', $84 = 'GBPUSD', $85 = 'GOOG.NAS', $86 = 'HK50', $87 = 'IT40', $88 = 'JP225', $89 = 'KO.NYSE', $90 = 'MQG.ASX', $91 = 'MSFT.NAS', $92 = 'NAB.ASX', $93 = 'NFLX.NAS', $94 = 'PYPL.NAS', $95 = 'QBE.ASX', $96 = 'STOXX50', $97 = 'SUN.ASX', $98 = 'TCL.ASX', $99 = 'TLS.ASX', $100 = 'TSLA.NAS', $101 = 'UK100', $102 = 'UNH.NYSE', $103 = 'US2000', $104 = 'US30', $105 = 'US500', $106 = 'USDCAD', $107 = 'USDCHF', $108 = 'USDCNH', $109 = 'USDJPY', $110 = 'USTEC', $111 = 'WBC.ASX', $112 = 'WES.ASX', $113 = 'WOW.ASX', $114 = 'WPL.ASX', $115 = 'XAUEUR', $116 = 'XAUUSD', $117 = 'XBRUSD', $118 = 'XTIUSD'

19

42ms

9

Details

3ms

6ms

4ms

SELECT DISTINCT ON (basegroupname, symbol) ;

Times Reported Time consuming bind #19

Day	Hour	Count	Duration	Avg duration
	04	9	42ms	4ms

SELECT DISTINCT ON (basegroupname, symbol) ;

Date: 2026-01-13 04:36:57 Duration: 6ms Database: postgres parameters: $1 = '958', $2 = '958'
SELECT DISTINCT ON (basegroupname, symbol) ;

Date: 2026-01-13 04:16:15 Duration: 6ms Database: postgres parameters: $1 = '667', $2 = '667'
SELECT DISTINCT ON (basegroupname, symbol) ;

Date: 2026-01-13 04:31:00 Duration: 5ms Database: postgres parameters: $1 = '627', $2 = '627'

20

37ms

6,281

Details

0ms

4ms

0ms

SET extra_float_digits = 3;

Times Reported Time consuming bind #20

Day	Hour	Count	Duration	Avg duration
	04	6,281	37ms	0ms

SET extra_float_digits = 3;

Date: 2026-01-13 04:56:05 Duration: 4ms Database: postgres
SET extra_float_digits = 3;

Date: 2026-01-13 04:26:00 Duration: 1ms Database: postgres
SET extra_float_digits = 3;

Date: 2026-01-13 04:02:09 Duration: 0ms Database: postgres

Log levels

Key values

555,515 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	484	0.09%
DETAIL	110,459	19.88%
ERROR	3	0.00%
LOG	443,941	79.92%
STATEMENT	628	0.11%

Events distribution

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0 PANIC entries
0 FATAL entries
3 ERROR entries
0 WARNING entries

Most Frequent Errors/Events

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1 Max number of times the same event was reported
3 Total events found

Rank

Times reported

Error

1

Details

ERROR: column "..." does not exist

Times Reported Most Frequent Error / Event #1

Day	Hour	Count
Jan 13	04	1

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

2

1

Details

ERROR: relation "..." does not exist

Times Reported Most Frequent Error / Event #2

Day	Hour	Count
Jan 13	04	1

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

3

1

Details

ERROR: duplicate key value violates unique constraint "..."

Times Reported Most Frequent Error / Event #3

Day	Hour	Count
Jan 13	04	1

ERROR: duplicate key value violates unique constraint "ar_idx_sa_hist_conscandles_symbolid_datetime_direction"

Global information

Overview

Global Stats

SQL Traffic

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SELECT Traffic

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INSERT/UPDATE/DELETE Traffic

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Queries duration

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Prepared queries ratio

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General Activity

Connections

Established Connections

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Connections per database

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Connections per user

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Connections per host

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Sessions

Simultaneous sessions

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Histogram of session times

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Sessions per database

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Sessions per user

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Sessions per host

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Sessions per application

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Checkpoints / Restartpoints

Checkpoints Buffers

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Checkpoints Wal files

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Checkpoints distance

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Checkpoints Activity

Checkpoint causes

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Temporary Files

Size of temporary files

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Number of temporary files

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Temporary Files Activity

Queries generating the most temporary files (N)

Queries generating the largest temporary files

Vacuums

Vacuums / Analyzes Distribution

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Analyzes per table

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Vacuums per table

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Tuples removed per table

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Pages removed per table

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Pages removed per tables

Autovacuum Activity

Locks

Locks by types

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Type of locks

Most frequent waiting queries (N)

Queries that waited the most

Queries

Queries by type

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Queries by database

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Queries by user

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