pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Mon Jan 26 10:59:48 2026
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2026-01-26_120000.log
Parsed 1,896,568 log entries in 47s
Log start from 2026-01-26 12:00:00 to 2026-01-26 12:59:46

Global Stats

305 Number of unique normalized queries
217,627 Number of queries
1h58m57s Total query duration
2026-01-26 12:00:00 First query
2026-01-26 12:59:46 Last query
5,617 queries/s at 2026-01-26 12:15:04 Query peak

1h58m57s Total query duration
9s419ms Prepare/parse total duration
58s792ms Bind total duration
1h57m49s Execute total duration

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

45 Total number of automatic vacuums
55 Total number of automatic analyzes

599 Number temporary file
177.70 MiB Max size of temporary file
8.94 MiB Average size of temporary file

3,758 Total number of sessions
13 sessions at 2026-01-26 12:58:48 Session peak
2d14h14m56s Total duration of sessions
59s631ms Average duration of sessions
57 Average queries per session
1s899ms Average queries duration per session
57s732ms Average idle time per session

3,760 Total number of connections
34 connections/s at 2026-01-26 12:06:01 Connection peak
4 Total number of databases

SQL Traffic

Key values

5,617 queries/s Query Peak
2026-01-26 12:15:04 Date

SELECT Traffic

Key values

2,744 queries/s Query Peak
2026-01-26 12:15:04 Date

INSERT/UPDATE/DELETE Traffic

Key values

221 queries/s Query Peak
2026-01-26 12:00:56 Date

Queries duration

Key values

1h58m57s 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 26	12	217,627	0ms	32s995ms	32ms	3m39s	4m7s	4m40s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Jan 26	12	62,075	26	0ms	0ms	0ms	0ms

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Jan 26	12	32,044	2,580	16	96	0ms	0ms	0ms	0ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
Jan 26	12	25,570	76,761	3.00	24.87%

Day	Hour	Count	Average / Second
Jan 26	12	3,760	1.04/s

Day	Hour	Count	Average Duration	Average idle time
Jan 26	12	3,758	59s631ms	57s750ms

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Established Connections

Key values

34 connections Connection Peak
2026-01-26 12:06:01 Date

Connections per database

Key values

acaweb_fx Main Database
3,760 connections Total

Chart
Table

Database	User	Count
acaweb_fx		3,620
	pgAdmin 4 - DB:acaweb_fx	1
	postgres	3,232
	psql	387
postgres		1
	pgAdmin 4 - DB:postgres	1
socialmedia		139
	pgAdmin 4 - DB:socialmedia	1
	postgres	138

Connections per user

Key values

postgres Main User
3,760 connections Total

Chart
Table

User	Count
pgAdmin 4 - DB:acaweb_fx	1
pgAdmin 4 - DB:postgres	1
pgAdmin 4 - DB:socialmedia	1
postgres	3,370
psql	387

Connections per host

Key values

192.168.4.142 Main host with 1403 connections
3,760 Total connections

Chart
Table

Host	Count
104.30.164.187	3
127.0.0.1	113
192.168.0.114	8
192.168.0.216	101
192.168.0.74	361
192.168.1.127	29
192.168.1.145	160
192.168.1.15	355
192.168.1.20	183
192.168.1.231	20
192.168.1.239	3
192.168.1.90	124
192.168.2.126	64
192.168.2.182	12
192.168.2.82	48
192.168.3.199	36
192.168.4.142	1,403
192.168.4.150	10
192.168.4.194	1
192.168.4.198	4
192.168.4.238	16
192.168.4.33	102
192.168.4.98	330
[local]	274

Simultaneous sessions

Key values

13 sessions Session Peak
2026-01-26 12:58:48 Date

Histogram of session times

Key values

2,932 0-500ms duration

Chart
Table

Range	Count	Percentage
0ms-500ms	2,932	78.02%
500ms-1s	246	6.55%
1s-30s	399	10.62%
30s-1m	29	0.77%
1m-10m	69	1.84%
10m-30m	67	1.78%
30m-1h	3	0.08%
1h-8h	13	0.35%
> 8h	0	0.00%

Sessions per database

Key values

acaweb_fx Main Database
3,758 sessions Total

Chart
Table

Database	User	Count	Total Duration	Average Duration
acaweb_fx	3,619	2d12h36m30s	1m
socialmedia	139	1h38m25s	42s489ms

Sessions per user

Key values

postgres Main User
3,758 sessions Total

Chart
Table

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

Sessions per host

Key values

192.168.4.142 Main Host
3,758 sessions Total

Chart
Table

Host	Count	Total Duration	Average Duration
127.0.0.1	113	20s425ms	180ms
192.168.0.114	9	59m41s	6m37s
192.168.0.216	101	52s398ms	518ms
192.168.0.74	361	8h21m12s	1m23s
192.168.1.127	29	9s704ms	334ms
192.168.1.145	160	4h17m10s	1m36s
192.168.1.15	355	3h30m45s	35s619ms
192.168.1.20	183	13h51m50s	4m32s
192.168.1.231	20	9h51m20s	29m34s
192.168.1.239	3	30ms	10ms
192.168.1.90	124	38s93ms	307ms
192.168.2.126	64	7s810ms	122ms
192.168.2.182	12	837ms	69ms
192.168.2.82	48	17s786ms	370ms
192.168.3.199	36	1s483ms	41ms
192.168.4.142	1,403	12m5s	516ms
192.168.4.150	10	20h21m2s	2h2m6s
192.168.4.194	1	154ms	154ms
192.168.4.198	4	22s561ms	5s640ms
192.168.4.238	16	21s177ms	1s323ms
192.168.4.33	102	43m34s	25s632ms
192.168.4.98	330	15s207ms	46ms
[local]	274	2m45s	605ms

Sessions per application

Key values

unknown Main Host
3,758 sessions Total

Chart
Table

Application	Count	Total Duration	Average Duration
unknown	3,758	2d14h14m56s	59s631ms

Checkpoints Buffers

Key values

17,094 buffers Checkpoint Peak
2026-01-26 12:07:41 Date
209.963 seconds Highest write time
0.115 seconds Sync time

Checkpoints Wal files

Key values

7 files Wal files usage Peak
2026-01-26 12:07:41 Date

Checkpoints distance

Key values

238.68 Mo Distance Peak
2026-01-26 12:07:41 Date

Checkpoints Activity

Day	Hour	Written buffers	Write time	Sync time	Total time
Jan 26	12	51,956	1,870.943s	0.163s	1,871.418s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
Jan 26	12	0	0	27	2,219	0.109s	0s

Day	Hour	Count	Avg time (sec)
Jan 26	12	0	0s

Day	Hour	Mean distance	Mean estimate
Jan 26	12	36,730.33 kB	85,331.42 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

184.79 MiB Temp Files size Peak
2026-01-26 12:40:07 Date

Number of temporary files

Key values

30 per second Temp Files Peak
2026-01-26 12:17:10 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
Jan 26	12	599	5.23 GiB	8.94 MiB

↑ Back to the top of the Temporary Files Activity table

Queries generating the most temporary files (N)

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	29	1.66 GiB	3.63 MiB	177.70 MiB	58.46 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: 2026-01-26 12:00:07 Duration: 0ms
2	22	157.82 MiB	7.17 MiB	7.18 MiB	7.17 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: 2026-01-26 12:02:20 Duration: 0ms
3	16	737.38 MiB	46.09 MiB	46.09 MiB	46.09 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: 2026-01-26 12:01:13 Duration: 0ms
4	16	1.22 GiB	78.20 MiB	78.20 MiB	78.20 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: 2026-01-26 12:01:17 Duration: 0ms
5	8	1.02 GiB	130.87 MiB	130.94 MiB	130.90 MiB	select updateresultsmaterializedview (); select updateresultsmaterializedview (); Date: 2026-01-26 12:02:17 Duration: 0ms
6	4	357.84 MiB	89.39 MiB	89.52 MiB	89.46 MiB	select updateageforrelevantresults (); select updateageforrelevantresults (); Date: 2026-01-26 12:02:07 Duration: 0ms

Queries generating the largest temporary files

Rank	Size	Query
1	177.70 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: 2026-01-26 12:30:05 ]
2	163.17 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: 2026-01-26 12:10:05 ]
3	130.94 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-26 12:32:17 ]
4	130.94 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-26 12:47:15 ]
5	130.92 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-26 12:50:32 ]
6	130.91 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-26 12:35:32 ]
7	130.89 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-26 12:17:16 ]
8	130.89 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-26 12:20:32 ]
9	130.87 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-26 12:05:33 ]
10	130.87 MiB	select updateresultsmaterializedview (); [ Date: 2026-01-26 12:02:17 ]
11	117.93 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: 2026-01-26 12:00:04 ]
12	107.17 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: 2026-01-26 12:40:04 ]
13	104.91 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2026-01-26 12:50:04 ]
14	89.52 MiB	select updateageforrelevantresults (); [ Date: 2026-01-26 12:02:07 ]
15	89.51 MiB	select updateageforrelevantresults (); [ Date: 2026-01-26 12:32:07 ]
16	89.43 MiB	select updateageforrelevantresults (); [ Date: 2026-01-26 12:47:05 ]
17	89.39 MiB	select updateageforrelevantresults (); [ Date: 2026-01-26 12:17:06 ]
18	87.27 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: 2026-01-26 12:20:04 ]
19	85.28 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: 2026-01-26 12:00:07 ]
20	85.09 MiB	with rankedmt4 as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select from rankedmt4 where r = 1 ), ok_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select , row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select , row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1; [ Date: 2026-01-26 12:40:05 ]

Vacuums / Analyzes Distribution

Key values

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

Analyzes per table

Key values

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

Chart
Table

Table	Number of analyzes
acaweb_fx.public.solr_relevance_old	16
acaweb_fx.pg_catalog.pg_attribute	5
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.pg_catalog.pg_type	3
acaweb_fx.pg_catalog.pg_index	2
acaweb_fx.public.autochartist_symbolupdates	2
acaweb_fx.public.latest_t15_candle_view	2
socialmedia.public.processes	1
acaweb_fx.pg_catalog.pg_depend	1
acaweb_fx.public.latest_candle_datetime_per_receng	1
acaweb_fx.public.relevance_consecutivecandles_results	1
acaweb_fx.public.symbollatestupdatetime	1
Total	55

Vacuums per table

Key values

public.solr_relevance_old (16) Main table vacuumed on database acaweb_fx
45 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	12,819	0	51	0	0	8,770	16	1,595,797
acaweb_fx.public.datafeeds_latestrun	4	0	481	0	9	0	0	60	36	70,304
acaweb_fx.public.relevance_keylevels_results	4	4	15,801	0	621	9	366	3,150	1,054	2,475,620
acaweb_fx.public.relevance_autochartist_results	4	4	14,214	0	238	4	980	2,433	662	1,613,064
acaweb_fx.public.relevance_fibonacci_results	3	3	4,001	0	62	2	180	561	143	406,423
acaweb_fx.pg_toast.pg_toast_2619	2	2	314	0	68	0	0	219	61	242,034
acaweb_fx.public.autochartist_symbolupdates	2	2	47,201	0	8,463	1	75,230	15,871	8,206	3,544,771
acaweb_fx.pg_catalog.pg_attribute	2	2	1,649	0	358	0	134	767	281	1,670,480
acaweb_fx.public.latest_t15_candle_view	2	2	160	0	8	0	0	12	2	17,281
acaweb_fx.pg_catalog.pg_class	2	2	929	0	107	0	0	289	101	542,032
acaweb_fx.pg_catalog.pg_index	1	1	107	0	16	0	0	29	13	96,919
acaweb_fx.pg_catalog.pg_type	1	1	128	0	24	0	0	53	16	107,196
acaweb_fx.pg_catalog.pg_statistic	1	1	1,018	0	178	0	582	460	175	631,018
acaweb_fx.public.solr_imports	1	1	65	0	1	0	0	6	1	8,915
Total	45	41	98,887	90,582	10,204	16	77,472	32,680	10,767	13,021,854

Tuples removed per table

Key values

public.solr_relevance_old (40627) Main table with removed tuples on database acaweb_fx
59384 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	40,627	88,688	0	0	3,117
acaweb_fx.public.autochartist_symbolupdates	2	2	11,103	105,611	16	0	81,382
acaweb_fx.pg_catalog.pg_attribute	2	2	3,100	21,617	0	44	480
acaweb_fx.public.relevance_keylevels_results	4	4	1,661	49,969	3,263	0	1,116
acaweb_fx.public.relevance_autochartist_results	4	4	993	35,904	2,915	0	1,520
acaweb_fx.pg_catalog.pg_statistic	1	1	554	3,722	0	0	1,194
acaweb_fx.public.relevance_fibonacci_results	3	3	392	4,382	213	0	306
acaweb_fx.pg_catalog.pg_class	2	2	265	3,298	0	0	300
acaweb_fx.public.datafeeds_latestrun	4	0	238	56	0	0	64
acaweb_fx.pg_toast.pg_toast_2619	2	2	143	339	1	0	102
acaweb_fx.pg_catalog.pg_type	1	1	125	1,446	0	0	39
acaweb_fx.public.latest_t15_candle_view	2	2	117	38	10	0	2
acaweb_fx.public.solr_imports	1	1	51	1	0	0	2
acaweb_fx.pg_catalog.pg_index	1	1	15	814	1	0	22
Total	45	41	59,384	315,885	6,419	44	89,646

Pages removed per table

Key values

pg_catalog.pg_attribute (44) Main table with removed pages on database acaweb_fx
44 pages Total removed

Chart
Table

Table	Number of vacuums	Index scans	Tuples removed	Pages removed
acaweb_fx.pg_catalog.pg_attribute	2	2	3100	44
acaweb_fx.pg_catalog.pg_index	1	1	15	0
acaweb_fx.pg_toast.pg_toast_2619	2	2	143	0
acaweb_fx.pg_catalog.pg_type	1	1	125	0
acaweb_fx.public.datafeeds_latestrun	4	0	238	0
acaweb_fx.public.autochartist_symbolupdates	2	2	11103	0
acaweb_fx.pg_catalog.pg_statistic	1	1	554	0
acaweb_fx.public.solr_imports	1	1	51	0
acaweb_fx.public.latest_t15_candle_view	2	2	117	0
acaweb_fx.public.relevance_keylevels_results	4	4	1661	0
acaweb_fx.pg_catalog.pg_class	2	2	265	0
acaweb_fx.public.solr_relevance_old	16	16	40627	0
acaweb_fx.public.relevance_autochartist_results	4	4	993	0
acaweb_fx.public.relevance_fibonacci_results	3	3	392	0
Total	45	41	59,384	44

Autovacuum Activity

Vacuums / Analyzes

Day	Hour	VACUUMs	ANALYZEs
Jan 26	12	45	55

↑ 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

62,075 Total read queries
40,728 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	62,075	28.52%
INSERT	32,044	14.72%
UPDATE	2,580	1.19%
DELETE	16	0.01%
COPY FROM	96	0.04%
COPY TO	26	0.01%
CTE	5,050	2.32%
DDL	16	0.01%
TCL	900	0.41%
CURSOR	0	0.00%
OTHERS	114,824	52.76%

Queries by database

Key values

unknown Main database
216,568 Requests
1h57m49s (unknown)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	919	0ms
	copy from	80	0ms
	copy to	26	0ms
	cte	104	0ms
	ddl	16	0ms
	delete	16	0ms
	others	205	0ms
	select	102	0ms
	tcl	331	0ms
	update	39	0ms
postgres	Total	1	0ms
	others	1	0ms
socialmedia	Total	139	0ms
	others	30	0ms
	select	102	0ms
	tcl	7	0ms
unknown	Total	216,568	1h57m49s
	copy from	16	0ms
	cte	4,946	0ms
	insert	32,044	0ms
	others	5,791	0ms
	select	61,871	0ms
	tcl	562	0ms
	update	2,541	0ms

Queries by user

Key values

unknown Main user
216,568 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	1,059	0ms
	copy from	80	0ms
	copy to	26	0ms
	cte	104	0ms
	ddl	16	0ms
	delete	16	0ms
	others	236	0ms
	select	204	0ms
	tcl	338	0ms
	update	39	0ms
unknown	Total	216,568	1h57m49s
	copy from	16	0ms
	cte	4,946	0ms
	insert	32,044	0ms
	others	5,791	0ms
	select	61,871	0ms
	tcl	562	0ms
	update	2,541	0ms

Duration by user

Key values

1h57m49s (unknown) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	1,059	0ms
	copy from	80	0ms
	copy to	26	0ms
	cte	104	0ms
	ddl	16	0ms
	delete	16	0ms
	others	236	0ms
	select	204	0ms
	tcl	338	0ms
	update	39	0ms
unknown	Total	216,568	1h57m49s
	copy from	16	0ms
	cte	4,946	0ms
	insert	32,044	0ms
	others	5,791	0ms
	select	61,871	0ms
	tcl	562	0ms
	update	2,541	0ms

Queries by host

Key values

unknown Main host
217,627 Requests
1h57m49s (unknown)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
unknown	Total	217,627	1h57m49s
	copy from	96	0ms
	copy to	26	0ms
	cte	5,050	0ms
	ddl	16	0ms
	delete	16	0ms
	insert	32,044	0ms
	others	6,027	0ms
	select	62,075	0ms
	tcl	900	0ms
	update	2,580	0ms

Queries by application

Key values

unknown Main application
217,237 Requests
1h57m49s (unknown)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
pgAdmin 4 - DB:acaweb_fx	Total	1	0ms
	others	1	0ms
pgAdmin 4 - DB:postgres	Total	1	0ms
	others	1	0ms
pgAdmin 4 - DB:socialmedia	Total	1	0ms
	others	1	0ms
psql	Total	387	0ms
	copy from	80	0ms
	copy to	26	0ms
	cte	104	0ms
	ddl	16	0ms
	delete	16	0ms
	others	4	0ms
	select	102	0ms
	update	39	0ms
unknown	Total	217,237	1h57m49s
	copy from	16	0ms
	cte	4,946	0ms
	insert	32,044	0ms
	others	6,020	0ms
	select	61,973	0ms
	tcl	900	0ms
	update	2,541	0ms

Number of cancelled queries

Key values

0 per second Cancelled query Peak
2026-01-26 12:55:17 Date

Number of cancelled queries (5 minutes period)

NO DATASET

Histogram of query times

Key values

65,462 0-1ms duration

Chart
Table

Range	Count	Percentage
0-1ms	65,462	60.17%
1-5ms	37,748	34.70%
5-10ms	2,615	2.40%
10-25ms	707	0.65%
25-50ms	241	0.22%
50-100ms	275	0.25%
100-500ms	460	0.42%
500-1000ms	169	0.16%
1000-10000ms	868	0.80%
> 10000ms	252	0.23%

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

3

Details

0ms

insert into t30 (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 #1

Day	Hour	Count	Duration	Avg duration
Jan 26	12	3	0ms	0ms

2

0ms

80

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 #2

Day	Hour	Count	Duration	Avg duration
Jan 26	12	80	0ms	0ms

3

0ms

89

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 26	12	89	0ms	0ms

4

0ms

2,182

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 26	12	2,182	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 26	12	48	0ms	0ms

6

0ms

4

Details

0ms

select updaterelevantforrelevantresults ();

Times Reported Time consuming queries #6

Day	Hour	Count	Duration	Avg duration
Jan 26	12	4	0ms	0ms

7

0ms

29

Details

0ms

set datestyle = iso;

Times Reported Time consuming queries #7

Day	Hour	Count	Duration	Avg duration
Jan 26	12	29	0ms	0ms

8

0ms

2

Details

0ms

select count(*) from ( select count(a.resultuid) from autochartist_results a inner join relevance_autochartist_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ? union select count(a.resultuid) from fibonacci_results a inner join relevance_fibonacci_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ? union select count(a.resultuid) from keylevels_results a inner join relevance_keylevels_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ? union select count(a.resultuid) from japsticks_results a inner join relevance_japsticks_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ? union select count(a.resultuid) from consecutivecandles_results a inner join relevance_consecutivecandles_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ? union select count(a.resultuid) from bigmovement_results a inner join relevance_bigmovement_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ?) a where count > ?;

Times Reported Time consuming queries #8

Day	Hour	Count	Duration	Avg duration
Jan 26	12	2	0ms	0ms

9

0ms

1

Details

0ms

update executions set isrunning = false, has_results=true, response=?' \u0641\u064a {country_name} \u062e\u0644\u0627\u0644 \u0627\u0644\u0633\u0627\u0639\u0627\u062a {hours_ahead} \u0627\u0644\u0642\u0627\u062f\u0645\u0629.", "Wednesday": "\u0627\u0644\u0623\u0631\u0628\u0639\u0627\u0621", "WednesdayShort": "\u0627\u0644\u0623\u0631\u0628\u0639\u0627\u0621", "Wheat": "\u0642\u0645\u062d", "Wheat Futures": "Wheat Futures", "WTI Crude Oil Futures": "WTI Crude Oil Futures", "Zeromarkets ?_AUD/USD": "AUDUSD", "Zeromarkets ?_Brent Crude Oil Futures": "XBRUSD", "Zeromarkets ?_Crude oil": "XTIUSD", "Zeromarkets ?_DAX": "GER?", "Zeromarkets ?_EUR/USD": "EURUSD", "Zeromarkets ?_FTSE ?": "UK?", "Zeromarkets ?_GBP/USD": "GBPUSD", "Zeromarkets ?_Gold": "XAUUSD", "Zeromarkets ?_Hang Seng": "HK?", "Zeromarkets ?_Nasdaq ?": "US?", "Zeromarkets ?_Natural gas": "XNGUSD", "Zeromarkets ?_Nikkei ?": "JP?", "Zeromarkets ?_Nikkei ? Dollar Futures": "JP?", "Zeromarkets ?_NZD/USD": "NZDUSD", "Zeromarkets ?_Platinum Futures": "XPTUSD", "Zeromarkets ?_Silver": "XAGUSD", "Zeromarkets ?_USD/CAD": "USDCAD", "Zeromarkets ?_USD/CHF": "USDCHF", "Zeromarkets ?_USD/JPY": "USDJPY", "Zeromarkets ?_US Dollar Index Futures": "USDX", "Zeromarkets ?_WTI Crude Oil Futures": "WTI" }, "data": { "Sun": { "?": { "report_date.visible": false, "name.visible": false, "noevent": "\u0644\u0627 \u062a\u0648\u062c\u062f \u0625\u0635\u062f\u0627\u0631\u0627\u062a \u0623\u0631\u0628\u0627\u062d", "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false } }, "Mon": { "?": { "report_date": "?-02-02", "name": "Palantir Technologies Inc.", "noevent": "%%OBJNAME?%%exchange": "NASDAQ", "countryName": "USA", "marketCapitalization": ?, "EBITDA": ?, "PERatio": ?.?, "PEGRatio": ?.?, "EarningsShare": ?.?, "before_after_market": "\u0628\u0639\u062f \u0625\u063a\u0644\u0627\u0642 \u0627\u0644\u0633\u0648\u0642 ", "currency": "%%OBJNAME?%%estimate": ?.?, "dow": "Mon", "iconurl": "https://eodhistoricaldata.com/img/logos/US/PLTR.png", "date": "\u0627\u0644\u0627\u062b\u0646\u064a\u0646, ? \u0641\u0628\u0631\u0627\u064a\u0631", "date_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631" }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false } }, "Tue": { "?": { "report_date": "?-02-03", "name": "Advanced Micro Devices Inc", "noevent": "%%OBJNAME?%%exchange": "NASDAQ", "countryName": "USA", "marketCapitalization": ?, "EBITDA": ?, "PERatio": ?.?, "PEGRatio": ?.?, "EarningsShare": ?.?, "before_after_market": "\u0628\u0639\u062f \u0625\u063a\u0644\u0627\u0642 \u0627\u0644\u0633\u0648\u0642 ", "currency": "%%OBJNAME?%%estimate": ?.?, "dow": "Tue", "iconurl": "https://eodhistoricaldata.com/img/logos/US/AMD.png", "date": "\u0627\u0644\u062b\u0644\u0627\u062b\u0627\u0621, ? \u0641\u0628\u0631\u0627\u064a\u0631", "date_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631" }, "?": { "report_date": "?-02-03", "name": "Uber Technologies Inc", "noevent": "%%OBJNAME?%%exchange": "NYSE", "countryName": "USA", "marketCapitalization": ?, "EBITDA": ?, "PERatio": ?.?, "PEGRatio": ?.?, "EarningsShare": ?.?, "before_after_market": "\u0642\u0628\u0644 \u0627\u0641\u062a\u062a\u0627\u062d \u0627\u0644\u0633\u0648\u0642", "currency": "USD", "estimate": ?.?, "dow": "Tue", "iconurl": "https://eodhistoricaldata.com/img/logos/US/UBER.png", "date": "\u0627\u0644\u062b\u0644\u0627\u062b\u0627\u0621, ? 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"EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false } }, "Heading": "\u0625\u0635\u062f\u0627\u0631\u0627\u062a \u0627\u0644\u0623\u0631\u0628\u0627\u062d \u0644\u0647\u0630\u0627 \u0627\u0644\u0623\u0633\u0628\u0648\u0639", "CompanyHeading": "\u0627\u0644\u0634\u0631\u0643\u0629", "EstimateHeading": "\u0627\u0644\u062a\u0642\u062f\u064a\u0631", "Date": "\u0627\u0644\u0627\u062b\u0646\u064a\u0646, ? \u0641\u0628\u0631\u0627\u064a\u0631", "DateFrom": "? \u0641\u0628\u0631\u0627\u064a\u0631", "DateTo": "? \u0641\u0628\u0631\u0627\u064a\u0631", "MondayLabel": "\u0627\u0644\u0627\u062b\u0646\u064a\u0646, ? \u0641\u0628\u0631\u0627\u064a\u0631", "TuesdayLabel": "\u0627\u0644\u062b\u0644\u0627\u062b\u0627\u0621, ? \u0641\u0628\u0631\u0627\u064a\u0631", "WednesdayLabel": "\u0627\u0644\u0623\u0631\u0628\u0639\u0627\u0621, ? \u0641\u0628\u0631\u0627\u064a\u0631", "ThursdayLabel": "\u0627\u0644\u062e\u0645\u064a\u0633, ? \u0641\u0628\u0631\u0627\u064a\u0631", "FridayLabel": "\u0627\u0644\u062c\u0645\u0639\u0629, ? \u0641\u0628\u0631\u0627\u064a\u0631", "MondayLabel_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631", "TuesdayLabel_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631", "WednesdayLabel_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631", "ThursdayLabel_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631", "FridayLabel_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631", "Monday": "\u0627\u0644\u0627\u062b\u0646\u064a\u0646", "Tuesday": "\u0627\u0644\u062b\u0644\u0627\u062b\u0627\u0621", "Wednesday": "\u0627\u0644\u0623\u0631\u0628\u0639\u0627\u0621", "Thursday": "\u0627\u0644\u062e\u0645\u064a\u0633", "Friday": "\u0627\u0644\u062c\u0645\u0639\u0629", "Saturday": "\u0627\u0644\u0633\u0628\u062a", "Sunday": "\u0627\u0644\u0623\u062d\u062f", "MondayShort": "\u0627\u0644\u0627\u062b\u0646\u064a\u0646", "TuesdayShort": "\u0627\u0644\u062b\u0644\u0627\u062b\u0627\u0621", "WednesdayShort": "\u0627\u0644\u0623\u0631\u0628\u0639\u0627\u0621", "ThursdayShort": "\u0627\u0644\u062e\u0645\u064a\u0633", "FridayShort": "\u0627\u0644\u062c\u0645\u0639\u0629", "SaturdayShort": "\u0627\u0644\u0633\u0628\u062a", "SundayShort": "\u0627\u0644\u0623\u062d\u062f" }, "text": { "title": "\u0625\u0639\u0644\u0627\u0646\u0627\u062a \u0627\u0644\u0623\u0631\u0628\u0627\u062d \u0628\u064a\u0646 ?-02-02 \u0648 ?-02-08.", "short_text": "\u0627\u0644\u0634\u0631\u0643\u0627\u062a \u0627\u0644\u062a\u064a \u0633\u062a\u0635\u062f\u0631 \u0646\u062a\u0627\u0626\u062c \u0623\u0631\u0628\u0627\u062d\u0647\u0627 \u0647\u0630\u0627 \u0627\u0644\u0623\u0633\u0628\u0648\u0639: Alphabet Inc Class C, Amazon.com Inc, Advanced Micro Devices Inc, Palantir Technologies Inc., Uber Technologies Inc, Pfizer Inc, Arm Holdings plc American Depositary Shares, UBS Group AG, Starbucks Corporation, BNP Paribas SA, GlaxoSmithKline PLC", "long_text": "\u0625\u0639\u0644\u0627\u0646\u0627\u062a \u0627\u0644\u0623\u0631\u0628\u0627\u062d \u0627\u0644\u0645\u0631\u062a\u0642\u0628\u0629 \u0644\u0647\u0630\u0627 \u0627\u0644\u0623\u0633\u0628\u0648\u0639:\n - ?-02-04: Alphabet Inc Class C, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-04: Amazon.com Inc, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-03: Advanced Micro Devices Inc, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-02: Palantir Technologies Inc., \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-03: Uber Technologies Inc, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-03: Pfizer Inc, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-04: Arm Holdings plc American Depositary Shares, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-04: UBS Group AG, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-03: Starbucks Corporation, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-05: BNP Paribas SA, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-03: GlaxoSmithKline PLC, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n" }, "warnings": [], "errors": [], "has_results": true, "quantity_results": ?, "creatomate_response": [ { "id": "?fcf9c89-f405-4870-8d71-15a684b4f263", "status": "planned", "url": "https://f002.backblazeb2.com/file/creatomate-c8xg3hsxdu/?fcf9c89-f405-4870-8d71-15a684b4f263.png", "template_id": "?f7daab0-980f-4c24-85b1-2fe62a7cdabb", "template_name": "SMMC AR - Calendar of US Stocks earnings releases", "template_tags": [], "output_format": "png" } ], "image_api": { "latest": [ "https://api.autochartist.com/social_media/image/f22529f1-a0cd-4f88-9fa0-cbbaaddc522e?broker_id=?&item=?" ], "snapshot": [ "https://api.autochartist.com/social_media/image/f22529f1-a0cd-4f88-9fa0-cbbaaddc522e?broker_id=?&item=?&dt=?-01-26%?%?A?%?A?" ] }, "webhook_response": { "attempt": "?bf9c1-5b0c-5108-03cb-960341edeee3", "id": "?bf9c1-5b[...];

Times Reported Time consuming queries #9

Day	Hour	Count	Duration	Avg duration
Jan 26	12	1	0ms	0ms

10

0ms

29

Details

0ms

set client_encoding to ?;

Times Reported Time consuming queries #10

Day	Hour	Count	Duration	Avg duration
Jan 26	12	29	0ms	0ms

11

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 #11

Day	Hour	Count	Duration	Avg duration
Jan 26	12	18	0ms	0ms

12

0ms

450

Details

0ms

commit;

Times Reported Time consuming queries #12

Day	Hour	Count	Duration	Avg duration
Jan 26	12	450	0ms	0ms

13

0ms

371

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 #13

Day	Hour	Count	Duration	Avg duration
Jan 26	12	371	0ms	0ms

14

0ms

239

Details

0ms

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

Times Reported Time consuming queries #14

Day	Hour	Count	Duration	Avg duration
Jan 26	12	239	0ms	0ms

15

0ms

239

Details

0ms

select system_identifier from pg_control_system ();

Times Reported Time consuming queries #15

Day	Hour	Count	Duration	Avg duration
Jan 26	12	239	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 26	12	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 26	12	1	0ms	0ms

18

0ms

7

Details

0ms

select updatedatafeedslatestrun (?);

Times Reported Time consuming queries #18

Day	Hour	Count	Duration	Avg duration
Jan 26	12	7	0ms	0ms

19

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 #19

Day	Hour	Count	Duration	Avg duration
Jan 26	12	1	0ms	0ms

20

0ms

4

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; 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 #20

Day	Hour	Count	Duration	Avg duration
Jan 26	12	4	0ms	0ms

Most frequent queries (N)

Rank

Times executed

Total duration

Min duration

Max duration

Avg duration

Query

1

21,971

Details

0ms

select ?;

Times Reported Time consuming queries #1

Day	Hour	Count	Duration	Avg duration
Jan 26	12	21,971	0ms	0ms

2

13,997

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 26	12	13,997	0ms	0ms

3

10,822

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 #3

Day	Hour	Count	Duration	Avg duration
Jan 26	12	10,822	0ms	0ms

4

7,801

Details

0ms

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

Times Reported Time consuming queries #4

Day	Hour	Count	Duration	Avg duration
Jan 26	12	7,801	0ms	0ms

5

5,907

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 #5

Day	Hour	Count	Duration	Avg duration
Jan 26	12	5,907	0ms	0ms

6

5,393

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 26	12	5,393	0ms	0ms

7

3,401

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 #7

Day	Hour	Count	Duration	Avg duration
Jan 26	12	3,401	0ms	0ms

8

2,609

Details

0ms

set extra_float_digits = ?;

Times Reported Time consuming queries #8

Day	Hour	Count	Duration	Avg duration
Jan 26	12	2,609	0ms	0ms

9

2,583

Details

0ms

set application_name = ?;

Times Reported Time consuming queries #9

Day	Hour	Count	Duration	Avg duration
Jan 26	12	2,583	0ms	0ms

10

2,496

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 #10

Day	Hour	Count	Duration	Avg duration
Jan 26	12	2,496	0ms	0ms

11

2,182

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 #11

Day	Hour	Count	Duration	Avg duration
Jan 26	12	2,182	0ms	0ms

12

1,921

Details

0ms

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

Times Reported Time consuming queries #12

Day	Hour	Count	Duration	Avg duration
Jan 26	12	1,921	0ms	0ms

13

1,786

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 #13

Day	Hour	Count	Duration	Avg duration
Jan 26	12	1,786	0ms	0ms

14

1,306

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 #14

Day	Hour	Count	Duration	Avg duration
Jan 26	12	1,306	0ms	0ms

15

1,217

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 #15

Day	Hour	Count	Duration	Avg duration
Jan 26	12	1,217	0ms	0ms

16

1,197

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 #16

Day	Hour	Count	Duration	Avg duration
Jan 26	12	1,197	0ms	0ms

17

802

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 #17

Day	Hour	Count	Duration	Avg duration
Jan 26	12	802	0ms	0ms

18

686

Details

0ms

select ew.processid, "Errors", "Warnings" from quantity_errors_warnings_perprocess ew;

Times Reported Time consuming queries #18

Day	Hour	Count	Duration	Avg duration
Jan 26	12	686	0ms	0ms

19

573

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 26	12	573	0ms	0ms

20

573

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 26	12	573	0ms	0ms

Normalized slowest queries (N)

Rank

Min duration

Max duration

Avg duration

Times executed

Total duration

Query

1

0ms

3

Details

0ms

insert into t30 (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 #1

Day	Hour	Count	Duration	Avg duration
Jan 26	12	3	0ms	0ms

2

0ms

80

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 #2

Day	Hour	Count	Duration	Avg duration
Jan 26	12	80	0ms	0ms

3

0ms

89

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 26	12	89	0ms	0ms

4

0ms

2,182

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 26	12	2,182	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 26	12	48	0ms	0ms

6

0ms

4

Details

0ms

select updaterelevantforrelevantresults ();

Times Reported Time consuming queries #6

Day	Hour	Count	Duration	Avg duration
Jan 26	12	4	0ms	0ms

7

0ms

29

Details

0ms

set datestyle = iso;

Times Reported Time consuming queries #7

Day	Hour	Count	Duration	Avg duration
Jan 26	12	29	0ms	0ms

8

0ms

2

Details

0ms

select count(*) from ( select count(a.resultuid) from autochartist_results a inner join relevance_autochartist_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ? union select count(a.resultuid) from fibonacci_results a inner join relevance_fibonacci_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ? union select count(a.resultuid) from keylevels_results a inner join relevance_keylevels_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ? union select count(a.resultuid) from japsticks_results a inner join relevance_japsticks_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ? union select count(a.resultuid) from consecutivecandles_results a inner join relevance_consecutivecandles_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ? union select count(a.resultuid) from bigmovement_results a inner join relevance_bigmovement_results ra on a.resultuid = ra.resultuid join downloadersymbolsettings dss on dss.symbolid = a.symbolid where a.patternendtime < current_timestamp - interval ? and enabled = ?) a where count > ?;

Times Reported Time consuming queries #8

Day	Hour	Count	Duration	Avg duration
Jan 26	12	2	0ms	0ms

9

0ms

1

Details

0ms

update executions set isrunning = false, has_results=true, response=?' \u0641\u064a {country_name} \u062e\u0644\u0627\u0644 \u0627\u0644\u0633\u0627\u0639\u0627\u062a {hours_ahead} \u0627\u0644\u0642\u0627\u062f\u0645\u0629.", "Wednesday": "\u0627\u0644\u0623\u0631\u0628\u0639\u0627\u0621", "WednesdayShort": "\u0627\u0644\u0623\u0631\u0628\u0639\u0627\u0621", "Wheat": "\u0642\u0645\u062d", "Wheat Futures": "Wheat Futures", "WTI Crude Oil Futures": "WTI Crude Oil Futures", "Zeromarkets ?_AUD/USD": "AUDUSD", "Zeromarkets ?_Brent Crude Oil Futures": "XBRUSD", "Zeromarkets ?_Crude oil": "XTIUSD", "Zeromarkets ?_DAX": "GER?", "Zeromarkets ?_EUR/USD": "EURUSD", "Zeromarkets ?_FTSE ?": "UK?", "Zeromarkets ?_GBP/USD": "GBPUSD", "Zeromarkets ?_Gold": "XAUUSD", "Zeromarkets ?_Hang Seng": "HK?", "Zeromarkets ?_Nasdaq ?": "US?", "Zeromarkets ?_Natural gas": "XNGUSD", "Zeromarkets ?_Nikkei ?": "JP?", "Zeromarkets ?_Nikkei ? Dollar Futures": "JP?", "Zeromarkets ?_NZD/USD": "NZDUSD", "Zeromarkets ?_Platinum Futures": "XPTUSD", "Zeromarkets ?_Silver": "XAGUSD", "Zeromarkets ?_USD/CAD": "USDCAD", "Zeromarkets ?_USD/CHF": "USDCHF", "Zeromarkets ?_USD/JPY": "USDJPY", "Zeromarkets ?_US Dollar Index Futures": "USDX", "Zeromarkets ?_WTI Crude Oil Futures": "WTI" }, "data": { "Sun": { "?": { "report_date.visible": false, "name.visible": false, "noevent": "\u0644\u0627 \u062a\u0648\u062c\u062f \u0625\u0635\u062f\u0627\u0631\u0627\u062a \u0623\u0631\u0628\u0627\u062d", "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false } }, "Mon": { "?": { "report_date": "?-02-02", "name": "Palantir Technologies Inc.", "noevent": "%%OBJNAME?%%exchange": "NASDAQ", "countryName": "USA", "marketCapitalization": ?, "EBITDA": ?, "PERatio": ?.?, "PEGRatio": ?.?, "EarningsShare": ?.?, "before_after_market": "\u0628\u0639\u062f \u0625\u063a\u0644\u0627\u0642 \u0627\u0644\u0633\u0648\u0642 ", "currency": "%%OBJNAME?%%estimate": ?.?, "dow": "Mon", "iconurl": "https://eodhistoricaldata.com/img/logos/US/PLTR.png", "date": "\u0627\u0644\u0627\u062b\u0646\u064a\u0646, ? \u0641\u0628\u0631\u0627\u064a\u0631", "date_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631" }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, 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"estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false }, "?": { "report_date.visible": false, "name.visible": false, "noevent.visible": false, "exchange.visible": false, "countryName.visible": false, "marketCapitalization.visible": false, "EBITDA.visible": false, "PERatio.visible": false, "PEGRatio.visible": false, "EarningsShare.visible": false, "before_after_market.visible": false, "currency.visible": false, "estimate.visible": false, "dow.visible": false, "iconurl.visible": false, "date.visible": false, "bgshape.visible": false, "Shape.visible": false } }, "Heading": "\u0625\u0635\u062f\u0627\u0631\u0627\u062a \u0627\u0644\u0623\u0631\u0628\u0627\u062d \u0644\u0647\u0630\u0627 \u0627\u0644\u0623\u0633\u0628\u0648\u0639", "CompanyHeading": "\u0627\u0644\u0634\u0631\u0643\u0629", "EstimateHeading": "\u0627\u0644\u062a\u0642\u062f\u064a\u0631", "Date": "\u0627\u0644\u0627\u062b\u0646\u064a\u0646, ? \u0641\u0628\u0631\u0627\u064a\u0631", "DateFrom": "? \u0641\u0628\u0631\u0627\u064a\u0631", "DateTo": "? \u0641\u0628\u0631\u0627\u064a\u0631", "MondayLabel": "\u0627\u0644\u0627\u062b\u0646\u064a\u0646, ? \u0641\u0628\u0631\u0627\u064a\u0631", "TuesdayLabel": "\u0627\u0644\u062b\u0644\u0627\u062b\u0627\u0621, ? \u0641\u0628\u0631\u0627\u064a\u0631", "WednesdayLabel": "\u0627\u0644\u0623\u0631\u0628\u0639\u0627\u0621, ? \u0641\u0628\u0631\u0627\u064a\u0631", "ThursdayLabel": "\u0627\u0644\u062e\u0645\u064a\u0633, ? \u0641\u0628\u0631\u0627\u064a\u0631", "FridayLabel": "\u0627\u0644\u062c\u0645\u0639\u0629, ? \u0641\u0628\u0631\u0627\u064a\u0631", "MondayLabel_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631", "TuesdayLabel_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631", "WednesdayLabel_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631", "ThursdayLabel_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631", "FridayLabel_dateonly": "? \u0641\u0628\u0631\u0627\u064a\u0631", "Monday": "\u0627\u0644\u0627\u062b\u0646\u064a\u0646", "Tuesday": "\u0627\u0644\u062b\u0644\u0627\u062b\u0627\u0621", "Wednesday": "\u0627\u0644\u0623\u0631\u0628\u0639\u0627\u0621", "Thursday": "\u0627\u0644\u062e\u0645\u064a\u0633", "Friday": "\u0627\u0644\u062c\u0645\u0639\u0629", "Saturday": "\u0627\u0644\u0633\u0628\u062a", "Sunday": "\u0627\u0644\u0623\u062d\u062f", "MondayShort": "\u0627\u0644\u0627\u062b\u0646\u064a\u0646", "TuesdayShort": "\u0627\u0644\u062b\u0644\u0627\u062b\u0627\u0621", "WednesdayShort": "\u0627\u0644\u0623\u0631\u0628\u0639\u0627\u0621", "ThursdayShort": "\u0627\u0644\u062e\u0645\u064a\u0633", "FridayShort": "\u0627\u0644\u062c\u0645\u0639\u0629", "SaturdayShort": "\u0627\u0644\u0633\u0628\u062a", "SundayShort": "\u0627\u0644\u0623\u062d\u062f" }, "text": { "title": "\u0625\u0639\u0644\u0627\u0646\u0627\u062a \u0627\u0644\u0623\u0631\u0628\u0627\u062d \u0628\u064a\u0646 ?-02-02 \u0648 ?-02-08.", "short_text": "\u0627\u0644\u0634\u0631\u0643\u0627\u062a \u0627\u0644\u062a\u064a \u0633\u062a\u0635\u062f\u0631 \u0646\u062a\u0627\u0626\u062c \u0623\u0631\u0628\u0627\u062d\u0647\u0627 \u0647\u0630\u0627 \u0627\u0644\u0623\u0633\u0628\u0648\u0639: Alphabet Inc Class C, Amazon.com Inc, Advanced Micro Devices Inc, Palantir Technologies Inc., Uber Technologies Inc, Pfizer Inc, Arm Holdings plc American Depositary Shares, UBS Group AG, Starbucks Corporation, BNP Paribas SA, GlaxoSmithKline PLC", "long_text": "\u0625\u0639\u0644\u0627\u0646\u0627\u062a \u0627\u0644\u0623\u0631\u0628\u0627\u062d \u0627\u0644\u0645\u0631\u062a\u0642\u0628\u0629 \u0644\u0647\u0630\u0627 \u0627\u0644\u0623\u0633\u0628\u0648\u0639:\n - ?-02-04: Alphabet Inc Class C, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-04: Amazon.com Inc, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-03: Advanced Micro Devices Inc, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-02: Palantir Technologies Inc., \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-03: Uber Technologies Inc, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-03: Pfizer Inc, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-04: Arm Holdings plc American Depositary Shares, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-04: UBS Group AG, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-03: Starbucks Corporation, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-05: BNP Paribas SA, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n - ?-02-03: GlaxoSmithKline PLC, \u0627\u0644\u062a\u0642\u062f\u064a\u0631: ?.?\n" }, "warnings": [], "errors": [], "has_results": true, "quantity_results": ?, "creatomate_response": [ { "id": "?fcf9c89-f405-4870-8d71-15a684b4f263", "status": "planned", "url": "https://f002.backblazeb2.com/file/creatomate-c8xg3hsxdu/?fcf9c89-f405-4870-8d71-15a684b4f263.png", "template_id": "?f7daab0-980f-4c24-85b1-2fe62a7cdabb", "template_name": "SMMC AR - Calendar of US Stocks earnings releases", "template_tags": [], "output_format": "png" } ], "image_api": { "latest": [ "https://api.autochartist.com/social_media/image/f22529f1-a0cd-4f88-9fa0-cbbaaddc522e?broker_id=?&item=?" ], "snapshot": [ "https://api.autochartist.com/social_media/image/f22529f1-a0cd-4f88-9fa0-cbbaaddc522e?broker_id=?&item=?&dt=?-01-26%?%?A?%?A?" ] }, "webhook_response": { "attempt": "?bf9c1-5b0c-5108-03cb-960341edeee3", "id": "?bf9c1-5b[...];

Times Reported Time consuming queries #9

Day	Hour	Count	Duration	Avg duration
Jan 26	12	1	0ms	0ms

10

0ms

29

Details

0ms

set client_encoding to ?;

Times Reported Time consuming queries #10

Day	Hour	Count	Duration	Avg duration
Jan 26	12	29	0ms	0ms

11

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 #11

Day	Hour	Count	Duration	Avg duration
Jan 26	12	18	0ms	0ms

12

0ms

450

Details

0ms

commit;

Times Reported Time consuming queries #12

Day	Hour	Count	Duration	Avg duration
Jan 26	12	450	0ms	0ms

13

0ms

371

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 #13

Day	Hour	Count	Duration	Avg duration
Jan 26	12	371	0ms	0ms

14

0ms

239

Details

0ms

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

Times Reported Time consuming queries #14

Day	Hour	Count	Duration	Avg duration
Jan 26	12	239	0ms	0ms

15

0ms

239

Details

0ms

select system_identifier from pg_control_system ();

Times Reported Time consuming queries #15

Day	Hour	Count	Duration	Avg duration
Jan 26	12	239	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 26	12	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 26	12	1	0ms	0ms

18

0ms

7

Details

0ms

select updatedatafeedslatestrun (?);

Times Reported Time consuming queries #18

Day	Hour	Count	Duration	Avg duration
Jan 26	12	7	0ms	0ms

19

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 #19

Day	Hour	Count	Duration	Avg duration
Jan 26	12	1	0ms	0ms

20

0ms

4

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; 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 #20

Day	Hour	Count	Duration	Avg duration
Jan 26	12	4	0ms	0ms

Time consuming prepare


Date: 2026-01-26 12:10:54
Duration: 29ms
Database: postgres
Date: 2026-01-26 12:32:03
Duration: 16ms
Database: postgres
Date: 2026-01-26 12:56:28
Duration: 15ms
Database: postgres
Date: 2026-01-26 12:30:43
Duration: 4ms
Database: postgres
Date: 2026-01-26 12:55:28
Duration: 5ms
Database: postgres
Date: 2026-01-26 12:30:50
Duration: 0ms
Database: postgres
Date: 2026-01-26 12:11:45
Duration: 0ms
Database: postgres
Date: 2026-01-26 12:15:03
Duration: 0ms
Database: postgres
Date: 2026-01-26 12:00:51
Duration: 1ms
Database: postgres
Date: 2026-01-26 12:00:53
Duration: 3ms
Database: postgres
Date: 2026-01-26 12:21:44
Duration: 7ms
Database: postgres
Date: 2026-01-26 12:12:06
Duration: 1ms
Database: postgres
Date: 2026-01-26 12:06:28
Duration: 1ms
Database: postgres
Date: 2026-01-26 12:32:00
Duration: 3ms
Database: postgres
Date: 2026-01-26 12:50:03
Duration: 3ms
Database: postgres
Date: 2026-01-26 12:31:05
Duration: 2ms
Database: postgres
Date: 2026-01-26 12:55:58
Duration: 0ms
Database: postgres
Date: 2026-01-26 12:12:52
Duration: 0ms
Database: postgres
Date: 2026-01-26 12:06:27
Duration: 0ms
Database: postgres
Date: 2026-01-26 12:10:04
Duration: 3ms
Database: postgres

Time consuming bind

Rank

Total duration

Times executed

Min duration

Max duration

Avg duration

Query

1

37s227ms

3,967

Details

0ms

66ms

9ms

WITH rar_max as ( ;

Times Reported Time consuming bind #1

Day	Hour	Count	Duration	Avg duration
Jan 26	12	3,967	37s227ms	9ms

WITH rar_max as ( ;

Date: 2026-01-26 12:52:58 Duration: 66ms Database: postgres parameters: $1 = '607569138983220303', $2 = '607569138983220303', $3 = '607569138983220303'
WITH rar_max as ( ;

Date: 2026-01-26 12:56:58 Duration: 60ms Database: postgres parameters: $1 = '607569378014381303', $2 = '607569378014381303', $3 = '607569378014381303'
WITH rar_max as ( ;

Date: 2026-01-26 12:52:58 Duration: 56ms Database: postgres parameters: $1 = '607569614096402303', $2 = '607569614096402303', $3 = '607569614096402303'

2

13s149ms

28,009

Details

0ms

22ms

0ms

SELECT ;

Times Reported Time consuming bind #2

Day	Hour	Count	Duration	Avg duration
	12	28,009	13s149ms	0ms

SELECT ;

Date: 2026-01-26 12:10:53 Duration: 22ms Database: postgres parameters: $1 = '958', $2 = '958', $3 = '515840248627636300'
SELECT ;

Date: 2026-01-26 12:55:28 Duration: 21ms Database: postgres parameters: $1 = '958', $2 = '958', $3 = '515840216980948300'
SELECT ;

Date: 2026-01-26 12:54:58 Duration: 19ms Database: postgres parameters: $1 = '958', $2 = '958', $3 = '515840243151349300'

3

3s402ms

1,385

Details

0ms

22ms

2ms

SELECT symbolid, ;

Times Reported Time consuming bind #3

Day	Hour	Count	Duration	Avg duration
	12	1,385	3s402ms	2ms

SELECT symbolid, ;

Date: 2026-01-26 12:00:53 Duration: 22ms Database: postgres parameters: $1 = 'AXIORY', $2 = '15', $3 = 'EURDKK', $4 = 'EURGBP', $5 = 'EURHUF', $6 = 'EURHKD'
SELECT symbolid, ;

Date: 2026-01-26 12:01:00 Duration: 4ms Database: postgres parameters: $1 = 'BDSWISS', $2 = '240', $3 = 'NZDCAD', $4 = 'LTCUSD', $5 = 'NAS100', $6 = 'NEOUSD', $7 = 'NZDCHF', $8 = 'LTCEUR', $9 = 'NOKJPY'
SELECT symbolid, ;

Date: 2026-01-26 12:00:53 Duration: 4ms Database: postgres parameters: $1 = 'BDSWISS', $2 = '240', $3 = 'EURPLN', $4 = 'EURNZD', $5 = 'EURSEK', $6 = 'EURUSD', $7 = 'EUR_50', $8 = 'EURTRY'

4

986ms

573

Details

1ms

2ms

1ms

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

Times Reported Time consuming bind #4

Day	Hour	Count	Duration	Avg duration
	12	573	986ms	1ms

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

Date: 2026-01-26 12:16:03 Duration: 2ms Database: postgres parameters: $1 = 'BDSWISS'
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;

Date: 2026-01-26 12:00:06 Duration: 2ms Database: postgres parameters: $1 = 'BDSWISS'
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;

Date: 2026-01-26 12:00:37 Duration: 2ms Database: postgres parameters: $1 = 'ICMARKETS'

5

666ms

16

Details

28ms

46ms

41ms

with sym_info as ( ;

Times Reported Time consuming bind #5

Day	Hour	Count	Duration	Avg duration
	12	16	666ms	41ms

with sym_info as ( ;

Date: 2026-01-26 12:06:46 Duration: 46ms 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: 2026-01-26 12:21:44 Duration: 45ms 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: 2026-01-26 12:36:43 Duration: 44ms Database: postgres parameters: $1 = '620', $2 = 'Forex', $3 = 'Forex', $4 = '620', $5 = 'Forex', $6 = '620', $7 = '620', $8 = 'Forex', $9 = '620'

6

453ms

60

Details

4ms

17ms

7ms

WITH last_candle AS ( ;

Times Reported Time consuming bind #6

Day	Hour	Count	Duration	Avg duration
	12	60	453ms	7ms

WITH last_candle AS ( ;

Date: 2026-01-26 12:32:02 Duration: 17ms Database: postgres parameters: $1 = '667', $2 = '667'
WITH last_candle AS ( ;

Date: 2026-01-26 12:32:00 Duration: 13ms Database: postgres parameters: $1 = '558', $2 = '558'
WITH last_candle AS ( ;

Date: 2026-01-26 12:00:00 Duration: 13ms Database: postgres parameters: $1 = '558', $2 = '558'

7

445ms

21,851

Details

0ms

11ms

0ms

select 1;

Times Reported Time consuming bind #7

Day	Hour	Count	Duration	Avg duration
	12	21,851	445ms	0ms

select 1;

Date: 2026-01-26 12:09:45 Duration: 11ms Database: postgres
select 1;

Date: 2026-01-26 12:15:04 Duration: 6ms Database: postgres
select 1;

Date: 2026-01-26 12:00:04 Duration: 1ms Database: postgres

8

430ms

21

Details

0ms

46ms

20ms

with wh_patitioned as ( ;

Times Reported Time consuming bind #8

Day	Hour	Count	Duration	Avg duration
	12	21	430ms	20ms

with wh_patitioned as ( ;

Date: 2026-01-26 12:52:09 Duration: 46ms 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: 2026-01-26 12:00:37 Duration: 42ms 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: 2026-01-26 12:35:01 Duration: 30ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '558', $4 = '558', $5 = '558', $6 = '558', $7 = '558', $8 = '558', $9 = '558'

9

351ms

56

Details

0ms

19ms

6ms

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

Times Reported Time consuming bind #9

Day	Hour	Count	Duration	Avg duration
	12	56	351ms	6ms

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

Date: 2026-01-26 12:16:12 Duration: 19ms 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: 2026-01-26 12:52:41 Duration: 19ms 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: 2026-01-26 12:21:57 Duration: 19ms Database: postgres parameters: $1 = '689', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'

10

275ms

5,907

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 #10

Day	Hour	Count	Duration	Avg duration
	12	5,907	275ms	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: 2026-01-26 12:01:02 Duration: 0ms Database: postgres parameters: $1 = '2026-01-26 11:45:00', $2 = '0.536945', $3 = '0.537215', $4 = '0.536785', $5 = '0.537055', $6 = '1226', $7 = '515840230422193300', $8 = '0', $9 = '2026-01-26 12:01:02.262', $10 = '2026-01-26 12:01:01.964', $11 = '0.536945', $12 = '0.537215', $13 = '0.536785', $14 = '0.537055', $15 = '1226', $16 = '0', $17 = '2026-01-26 12:01:02.262', $18 = '2026-01-26 12:01:01.964'
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: 2026-01-26 12:11:45 Duration: 0ms Database: postgres parameters: $1 = '2026-01-26 11:45:00', $2 = '8894.5', $3 = '8900.55', $4 = '8894.25', $5 = '8897.4', $6 = '1261', $7 = '515840248015086300', $8 = '0', $9 = '2026-01-26 12:11:45.366', $10 = '2026-01-26 12:11:45.284', $11 = '8894.5', $12 = '8900.55', $13 = '8894.25', $14 = '8897.4', $15 = '1261', $16 = '0', $17 = '2026-01-26 12:11:45.366', $18 = '2026-01-26 12:11:45.284'
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: 2026-01-26 12:01:25 Duration: 0ms Database: postgres parameters: $1 = '2026-01-26 12:45:00', $2 = '1.367455', $3 = '1.367715', $4 = '1.366635', $5 = '1.367205', $6 = '952', $7 = '515840249373345300', $8 = '0', $9 = '2026-01-26 12:01:25.377', $10 = '2026-01-26 12:01:25.261', $11 = '1.367455', $12 = '1.367715', $13 = '1.366635', $14 = '1.367205', $15 = '952', $16 = '0', $17 = '2026-01-26 12:01:25.377', $18 = '2026-01-26 12:01:25.261'

11

265ms

3,401

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 #11

Day	Hour	Count	Duration	Avg duration
	12	3,401	265ms	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: 2026-01-26 12:00:55 Duration: 0ms Database: postgres parameters: $1 = '2026-01-26 11:30:00', $2 = '1.8543', $3 = '1.8579', $4 = '1.8483', $5 = '1.8568', $6 = '1295', $7 = '515840249415534300', $8 = '0', $9 = '2026-01-26 12:00:55.781', $10 = '2026-01-26 12:00:55.573', $11 = '1.8543', $12 = '1.8579', $13 = '1.8483', $14 = '1.8568', $15 = '1295', $16 = '0', $17 = '2026-01-26 12:00:55.781', $18 = '2026-01-26 12:00:55.573'
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: 2026-01-26 12:41:46 Duration: 0ms Database: postgres parameters: $1 = '2026-01-26 12:00:00', $2 = '8897.3', $3 = '8915.65', $4 = '8896.4', $5 = '8913.65', $6 = '2726', $7 = '515840248015340300', $8 = '0', $9 = '2026-01-26 12:41:46.92', $10 = '2026-01-26 12:41:46.846', $11 = '8897.3', $12 = '8915.65', $13 = '8896.4', $14 = '8913.65', $15 = '2726', $16 = '0', $17 = '2026-01-26 12:41:46.92', $18 = '2026-01-26 12:41:46.846'
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: 2026-01-26 12:31:12 Duration: 0ms Database: postgres parameters: $1 = '2026-01-26 12:00:00', $2 = '0.920465', $3 = '0.920755', $4 = '0.92016', $5 = '0.920715', $6 = '2585', $7 = '515840230468601300', $8 = '0', $9 = '2026-01-26 12:31:12.835', $10 = '2026-01-26 12:31:12.834', $11 = '0.920465', $12 = '0.920755', $13 = '0.92016', $14 = '0.920715', $15 = '2585', $16 = '0', $17 = '2026-01-26 12:31:12.835', $18 = '2026-01-26 12:31:12.834'

12

179ms

2,182

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
	12	2,182	179ms	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: 2026-01-26 12:00:56 Duration: 0ms Database: postgres parameters: $1 = '2026-01-26 11:00:00', $2 = '0.81641', $3 = '0.81703', $4 = '0.81639', $5 = '0.81674', $6 = '4418', $7 = '515840233474917300', $8 = '0', $9 = '2026-01-26 12:00:56.299', $10 = '2026-01-26 12:00:56.283', $11 = '0.81641', $12 = '0.81703', $13 = '0.81639', $14 = '0.81674', $15 = '4418', $16 = '0', $17 = '2026-01-26 12:00:56.299', $18 = '2026-01-26 12:00:56.283'
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: 2026-01-26 12:00:58 Duration: 0ms Database: postgres parameters: $1 = '2026-01-26 11:00:00', $2 = '18.98716', $3 = '18.99769', $4 = '18.96982', $5 = '18.98563', $6 = '16953', $7 = '515840243938797300', $8 = '0', $9 = '2026-01-26 12:00:58.216', $10 = '2026-01-26 12:00:58.162', $11 = '18.98716', $12 = '18.99769', $13 = '18.96982', $14 = '18.98563', $15 = '16953', $16 = '0', $17 = '2026-01-26 12:00:58.216', $18 = '2026-01-26 12:00:58.162'
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: 2026-01-26 12:11:45 Duration: 0ms Database: postgres parameters: $1 = '2026-01-26 11:00:00', $2 = '8905.4', $3 = '8907.65', $4 = '8891.25', $5 = '8897.4', $6 = '4963', $7 = '515840248015562300', $8 = '0', $9 = '2026-01-26 12:11:45.42', $10 = '2026-01-26 12:11:45.301', $11 = '8905.4', $12 = '8907.65', $13 = '8891.25', $14 = '8897.4', $15 = '4963', $16 = '0', $17 = '2026-01-26 12:11:45.42', $18 = '2026-01-26 12:11:45.301'

13

154ms

52

Details

1ms

8ms

2ms

WITH rcr_max as ( ;

Times Reported Time consuming bind #13

Day	Hour	Count	Duration	Avg duration
	12	52	154ms	2ms

WITH rcr_max as ( ;

Date: 2026-01-26 12:14:23 Duration: 8ms Database: postgres parameters: $1 = '607569612973179305', $2 = '607569612973179305', $3 = '607569612973179305'
WITH rcr_max as ( ;

Date: 2026-01-26 12:24:11 Duration: 8ms Database: postgres parameters: $1 = '607569606253817305', $2 = '607569606253817305', $3 = '607569606253817305'
WITH rcr_max as ( ;

Date: 2026-01-26 12:25:06 Duration: 6ms Database: postgres parameters: $1 = '607569610076199305', $2 = '607569610076199305', $3 = '607569610076199305'

14

132ms

1,306

Details

0ms

1ms

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 #14

Day	Hour	Count	Duration	Avg duration
	12	1,306	132ms	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: 2026-01-26 12:00:52 Duration: 1ms Database: postgres parameters: $1 = '2026-01-26 08:00:00', $2 = '49018.74', $3 = '49143.99', $4 = '49002.74', $5 = '49036.49', $6 = '15322', $7 = '515840238071900300', $8 = '0', $9 = '2026-01-26 12:00:52.907', $10 = '2026-01-26 12:00:52.907', $11 = '49018.74', $12 = '49143.99', $13 = '49002.74', $14 = '49036.49', $15 = '15322', $16 = '0', $17 = '2026-01-26 12:00:52.907', $18 = '2026-01-26 12:00:52.907'
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: 2026-01-26 12:11:55 Duration: 0ms Database: postgres parameters: $1 = '2026-01-23 21:00:00', $2 = '8145.38', $3 = '8154.13', $4 = '8144.35', $5 = '8149.68', $6 = '12309', $7 = '515840247902520300', $8 = '0', $9 = '2026-01-26 12:11:55.418', $10 = '2026-01-26 12:11:55.377', $11 = '8145.38', $12 = '8154.13', $13 = '8144.35', $14 = '8149.68', $15 = '12309', $16 = '0', $17 = '2026-01-26 12:11:55.418', $18 = '2026-01-26 12:11:55.377'
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: 2026-01-26 12:10:46 Duration: 0ms Database: postgres parameters: $1 = '2026-01-23 20:00:00', $2 = '8862.4', $3 = '8876.4', $4 = '8859.4', $5 = '8871.6', $6 = '10041', $7 = '515840248015766300', $8 = '0', $9 = '2026-01-26 12:10:46.7', $10 = '2026-01-26 12:10:46.609', $11 = '8862.4', $12 = '8876.4', $13 = '8859.4', $14 = '8871.6', $15 = '10041', $16 = '0', $17 = '2026-01-26 12:10:46.7', $18 = '2026-01-26 12:10:46.609'

15

64ms

77

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 #15

Day	Hour	Count	Duration	Avg duration
	12	77	64ms	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: 2026-01-26 12:32:14 Duration: 1ms Database: postgres parameters: $1 = '667', $2 = 'GBPUSD.r', $3 = '667'
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: 2026-01-26 12:18:39 Duration: 1ms Database: postgres parameters: $1 = '538', $2 = 'XAUUSD', $3 = '538'
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: 2026-01-26 12:16:10 Duration: 1ms Database: postgres parameters: $1 = '558', $2 = 'JP225', $3 = '558'

16

55ms

142

Details

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 #16

Day	Hour	Count	Duration	Avg duration
	12	142	55ms	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: 2026-01-26 12:12:52 Duration: 0ms 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: 2026-01-26 12:12:53 Duration: 0ms 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: 2026-01-26 12:12:52 Duration: 0ms Database: postgres

17

48ms

9

Details

3ms

9ms

5ms

SELECT DISTINCT ON (basegroupname, symbol) ;

Times Reported Time consuming bind #17

Day	Hour	Count	Duration	Avg duration
	12	9	48ms	5ms

SELECT DISTINCT ON (basegroupname, symbol) ;

Date: 2026-01-26 12:11:00 Duration: 9ms Database: postgres parameters: $1 = '627', $2 = '627'
SELECT DISTINCT ON (basegroupname, symbol) ;

Date: 2026-01-26 12:11:02 Duration: 6ms Database: postgres parameters: $1 = '627', $2 = '627'
SELECT DISTINCT ON (basegroupname, symbol) ;

Date: 2026-01-26 12:14:39 Duration: 6ms Database: postgres parameters: $1 = '538', $2 = '538'

18

48ms

70

Details

0ms

select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;

Times Reported Time consuming bind #18

Day	Hour	Count	Duration	Avg duration
	12	70	48ms	0ms

select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;

Date: 2026-01-26 12:01:27 Duration: 0ms Database: postgres
select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;

Date: 2026-01-26 12:51:12 Duration: 0ms Database: postgres
select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;

Date: 2026-01-26 12:28:17 Duration: 0ms Database: postgres

19

38ms

8

Details

2ms

7ms

4ms

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

Times Reported Time consuming bind #19

Day	Hour	Count	Duration	Avg duration
	12	8	38ms	4ms

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

Date: 2026-01-26 12:12:51 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: 2026-01-26 12:12:51 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: 2026-01-26 12:12:51 Duration: 6ms 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'

20

38ms

70

Details

0ms

select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;

Times Reported Time consuming bind #20

Day	Hour	Count	Duration	Avg duration
	12	70	38ms	0ms

select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;

Date: 2026-01-26 12:51:12 Duration: 0ms Database: postgres
select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;

Date: 2026-01-26 12:21:07 Duration: 0ms Database: postgres
select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;

Date: 2026-01-26 12:11:27 Duration: 0ms Database: postgres

Log levels

Key values

431,310 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	418	0.10%
DETAIL	98,244	22.78%
ERROR	34	0.01%
HINT	34	0.01%
LOG	331,982	76.97%
STATEMENT	598	0.14%

Events distribution

Key values

0 PANIC entries
0 FATAL entries
34 ERROR entries
0 WARNING entries

Most Frequent Errors/Events

Key values

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

Rank

Times reported

Error

1

34

Details

ERROR: function fixcandlegaps(...) is not unique

Times Reported Most Frequent Error / Event #1

Day	Hour	Count
Jan 26	12	34

ERROR: function fixcandlegaps(unknown, boolean) is not unique at character 8

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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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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Duration by user