pgBadger-
Global information
- Generated on Sat Mar 28 04:59:23 2026
- Log file: /home/postgres/pg_data/data/pg_log/postgresql-2026-03-28_060000.log
- Parsed 638,379 log entries in 21s
- Log start from 2026-03-28 06:00:00 to 2026-03-28 06:59:20
-
Overview
Global Stats
- 985 Number of unique normalized queries
- 98,597 Number of queries
- 3h14m39s Total query duration
- 2026-03-28 06:00:00 First query
- 2026-03-28 06:59:20 Last query
- 5,912 queries/s at 2026-03-28 06:19:28 Query peak
- 3h14m39s Total query duration
- 3s410ms Prepare/parse total duration
- 23s248ms Bind total duration
- 3h14m12s Execute total duration
- 741 Number of events
- 7 Number of unique normalized events
- 426 Max number of times the same event was reported
- 0 Number of cancellation
- 21 Total number of automatic vacuums
- 22 Total number of automatic analyzes
- 1,483 Number temporary file
- 625.38 MiB Max size of temporary file
- 95.47 MiB Average size of temporary file
- 2,409 Total number of sessions
- 12 sessions at 2026-03-28 06:55:33 Session peak
- 3d4h57m10s Total duration of sessions
- 1m54s Average duration of sessions
- 40 Average queries per session
- 4s848ms Average queries duration per session
- 1m50s Average idle time per session
- 2,411 Total number of connections
- 103 connections/s at 2026-03-28 06:40:13 Connection peak
- 6 Total number of databases
SQL Traffic
Key values
- 5,912 queries/s Query Peak
- 2026-03-28 06:19:28 Date
SELECT Traffic
Key values
- 2,955 queries/s Query Peak
- 2026-03-28 06:19:28 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 83 queries/s Query Peak
- 2026-03-28 06:33:48 Date
Queries duration
Key values
- 3h14m39s 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
↑ Back to the top of the General Activity tableDay Hour Count Min duration Max duration Avg duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Mar 28 06 98,597 0ms 3m23s 118ms 4m58s 5m49s 25m11s Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Mar 28 06 30,174 576 0ms 0ms 0ms 0ms Day Hour INSERT UPDATE DELETE COPY FROM Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Mar 28 06 11,517 594 504 0 0ms 0ms 0ms 0ms Day Hour Prepare Bind Bind/Prepare Percentage of prepare Mar 28 06 10,232 23,540 2.30 21.94% Day Hour Count Average / Second Mar 28 06 2,411 0.67/s Day Hour Count Average Duration Average idle time Mar 28 06 2,409 1m54s 1m50s -
Connections
Established Connections
Key values
- 103 connections Connection Peak
- 2026-03-28 06:40:13 Date
Connections per database
Key values
- acaweb_fx Main Database
- 2,411 connections Total
Connections per user
Key values
- postgres Main User
- 2,411 connections Total
Connections per host
Key values
- 127.0.0.1 Main host with 946 connections
- 2,411 Total connections
-
Sessions
Simultaneous sessions
Key values
- 12 sessions Session Peak
- 2026-03-28 06:55:33 Date
Histogram of session times
Key values
- 2,072 0-500ms duration
Sessions per database
Key values
- acaweb_fx Main Database
- 2,409 sessions Total
Sessions per user
Key values
- postgres Main User
- 2,409 sessions Total
Sessions per host
Key values
- 127.0.0.1 Main Host
- 2,409 sessions Total
Host Count Total Duration Average Duration 127.0.0.1 946 39m7s 2s480ms 192.168.0.114 1 5m 5m 192.168.0.216 116 7m47s 4s30ms 192.168.0.74 32 5h54m51s 11m5s 192.168.1.145 8 11h20m12s 1h25m1s 192.168.1.15 55 1d6h58m50s 33m47s 192.168.1.20 27 17h45m39s 39m28s 192.168.1.231 20 9h51m36s 29m34s 192.168.1.239 54 361ms 6ms 192.168.1.90 6 48ms 8ms 192.168.2.126 18 5s387ms 299ms 192.168.3.199 38 22s831ms 600ms 192.168.4.142 660 7m57s 722ms 192.168.4.33 62 59s755ms 963ms 192.168.4.98 330 23s251ms 70ms [local] 36 4m17s 7s146ms -
Checkpoints / Restartpoints
Checkpoints Buffers
Key values
- 35,472 buffers Checkpoint Peak
- 2026-03-28 06:46:06 Date
- 210.031 seconds Highest write time
- 0.771 seconds Sync time
Checkpoints Wal files
Key values
- 22 files Wal files usage Peak
- 2026-03-28 06:46:06 Date
Checkpoints distance
Key values
- 684.54 Mo Distance Peak
- 2026-03-28 06:46:06 Date
Checkpoints Activity
↑ Back to the top of the Checkpoint Activity tableDay Hour Written buffers Write time Sync time Total time Mar 28 06 46,960 1,438.089s 2.174s 1,442.641s Day Hour Added Removed Recycled Synced files Longest sync Average sync Mar 28 06 0 0 28 1,155 0.765s 0.017s Day Hour Count Avg time (sec) Mar 28 06 0 0s Day Hour Mean distance Mean estimate Mar 28 06 38,009.42 kB 110,692.67 kB -
Temporary Files
Size of temporary files
Key values
- 630.36 MiB Temp Files size Peak
- 2026-03-28 06:47:44 Date
Number of temporary files
Key values
- 6 per second Temp Files Peak
- 2026-03-28 06:26:00 Date
Temporary Files Activity
↑ Back to the top of the Temporary Files Activity tableDay Hour Count Total size Average size Mar 28 06 1,483 138.27 GiB 95.47 MiB Queries generating the most temporary files (N)
Rank Count Total size Min size Max size Avg size Query 1 302 494.27 MiB 137.65 KiB 3.81 MiB 1.64 MiB with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ), ar as ( select a.*, rr.age, rr.relevant from autochartist_results a left outer join relevance_autochartist_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_autochartist_results) end ), all_results as ( select ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, 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, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? else ? end as age, case when ar.relevant is not null then ar.relevant when ar.resultuid <= rm.resultuid then ? else ? end as relevant from ar inner join symbols s on ar.symbolid = s.symbolid and s.nonliquid = ? inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = s.symbolid inner join symbolgroup sg on bsl.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 downloadersymbolsettings dss on sg.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 currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where ar.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ar.pattern in (...)) and (? = ? or (? = ? and ar.breakout >= ?) or (? = ? and ar.breakout < ?)) and (? = ? or ar.patternlengthbars <= ?) and newlevels.filtered = false and ar.patternstarttime >= 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 ;-
WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, 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, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.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 downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN autochartist_symbolupdates au on dss.symbolid = au.symbolid LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322, $323)) AND ($324 = 0 OR ar.pattern in ($325)) AND ($326 = 0 OR ($327 = 1 AND ar.breakout >= 0) OR ($328 = 2 AND ar.breakout < 0)) AND ($329 = 0 OR ar.patternlengthbars <= $330) and newLevels.filtered = false AND ar.patternstarttime >= coalesce(au.earliestpricedatetime, '1900-01-01'::timestamp without time zone) -- To make sure patternstarttime is in our t-tables ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $331 OR relevant = 1) AND ($332 = 0 OR age <= $333) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-03-28 06:00:35 Duration: 0ms
2 237 136.91 GiB 395.37 MiB 625.38 MiB 591.56 MiB classname, case when latestdbwritetime < current_timestamp - interval ? then ? else ? end as is_stale from latest_t15_candle_view order by classname;-
classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;
Date: 2026-03-28 06:00:14 Duration: 0ms
3 108 190.65 MiB 137.65 KiB 4.26 MiB 1.77 MiB 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 ? ;-
WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), all_results AS ( SELECT kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN 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 = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4)) AND ($5 = 0 OR s.exchange in ($6)) AND ($7 = 0 OR coalesce(bim.code, s.symbol) in ($8)) AND ($9 = 0 OR p.patternname in ($10)) AND ($11 = 0 OR kr.patternclassid in ($12)) AND ($13 = 0 OR kr.patternlengthbars <= $14) AND kr.patternstarttime::timestamp without time zone >= coalesce(au.earliestpricedatetime, '1900-01-01'::timestamp without time zone) -- To make sure patternstarttime is in our t-tables ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $15 OR relevant = 1) AND ($16 = 0 OR age <= $17) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC LIMIT 200;
Date: 2026-03-28 06:00:15 Duration: 0ms
4 75 358.25 MiB 4.71 MiB 4.85 MiB 4.78 MiB select resultuid from relevance_fibonacci_results order by resultuid desc limit ?), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end), all_results as ( select fr.resultuid as resultuid, fr.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, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.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 downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join lateral calc_fib_signal_filter (fr.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 fr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp)))), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;-
SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), all_results AS ( SELECT fr.resultuid AS resultuid, fr.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, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.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 downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322, $323)) AND ($324 = 0 OR fr.pattern in ($325)) AND ($326 = 0 OR fr.patternlengthbars <= $327) AND ($328 = 0 OR ($329 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($330 = 2 AND fr.timed < cast('1970-01-01' as timestamp)))), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $331 OR relevant = 1) AND ($332 = 0 OR age <= $333) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-03-28 06:00:49 Duration: 0ms
5 36 219.59 MiB 3.06 MiB 9.14 MiB 6.10 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: 2026-03-28 06:00:45 Duration: 0ms
6 19 58.82 MiB 3.02 MiB 3.22 MiB 3.10 MiB select resultuid from relevance_consecutivecandles_results order by resultuid desc limit ?), all_results as ( select ccr.resultuid as resultuid, ccr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ccr.patternendtime as identified, dtt.timezone as timezone, ccr.qtyconsecutivecandles as length, g.basegroupname, case when rcr.age is not null then rcr.age when ccr.resultuid <= rm.resultuid then ? else ? end as age, case when rcr.relevant is not null then rcr.relevant when ccr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip, newlevels.filtered from consecutivecandles_results ccr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = ccr.symbolid inner join symbols s on ccr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on ccr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on ccr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join rar_max rm on ? = ? left outer join relevance_consecutivecandles_results rcr on rcr.resultuid = ccr.resultuid left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? left join lateral calc_cc_signal_filter (ccr.resultuid) newlevels on true where ccr.gmttimefound > now() - interval ? and s.deleted = ? and (ccr.simulation = ? or ccr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ccr.patternlengthbars <= ?)), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;-
SELECT resultuid FROM relevance_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $1 AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ($2 = 0 OR s.timegranularity in ($3, $4, $5, $6, $7, $8, $9)) AND ($10 = 0 OR s.exchange in ($11)) AND ($12 = 0 OR coalesce(bim.code, s.symbol) in ($13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322)) AND ($323 = 0 OR ccr.patternlengthbars <= $324)), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $325 OR relevant = 1) AND ($326 = 0 OR age <= $327) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-03-28 06:01:14 Duration: 0ms
7 3 48.49 MiB 9.83 MiB 23.61 MiB 16.16 MiB select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid in ( select statsid from stats where (? = ? or brokerid = ?)) and atbaridentified >= (current_timestamp - interval ?) and atbaridentified <= current_timestamp and type = ? and pattern not ilike ? and (? = ? or statsid >= ?) order by ss.statsid;-
select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid in ( select statsid from stats where (0 = 0 or brokerid = 0)) and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' and (0 = 0 OR statsid >= 0) order by ss.statsid;
Date: 2026-03-28 06:40:35 Duration: 0ms
8 1 4.85 MiB 4.85 MiB 4.85 MiB 4.85 MiB 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 = ?;-
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 = $1 AND dss.downloadfrequency = $2 AND dss.symbolid = t.symbolid AND s.symbolid = dss.symbolid AND dss.enabled = 1 AND s.deleted = 0 AND dss.downloadersymbol IN ($3, $4, $5, $6, $7, $8, $9, $10, $11, $12) AND t.pricedatetime > now() - INTERVAL '2 days') AS ranked_candles_table WHERE rn = 1;
Date: 2026-03-28 06:36:29 Duration: 0ms
9 1 3.32 MiB 3.32 MiB 3.32 MiB 3.32 MiB select stats_calcstatsforallbrokers ();-
select stats_calcstatsforallbrokers ();
Date: 2026-03-28 06:40:09 Duration: 0ms
Queries generating the largest temporary files
Rank Size Query 1 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:00:14 ]
2 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:00:29 ]
3 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:00:44 ]
4 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:01:29 ]
5 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:01:44 ]
6 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:01:59 ]
7 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:02:14 ]
8 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:02:29 ]
9 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:02:44 ]
10 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:02:58 ]
11 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:03:14 ]
12 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:03:29 ]
13 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:03:44 ]
14 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:03:59 ]
15 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:04:14 ]
16 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:04:29 ]
17 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:04:44 ]
18 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:04:59 ]
19 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:05:14 ]
20 625.38 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-28 06:05:29 ]
-
Vacuums
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
- pg_catalog.pg_type (4) Main table analyzed (database acaweb_fx)
- 22 analyzes Total
Table Number of analyzes acaweb_fx.pg_catalog.pg_type 4 acaweb_fx.pg_catalog.pg_attribute 4 acaweb_fx.public.datafeeds_latestrun 3 acaweb_fx.public.stats_summary_2d 2 acaweb_fx.pg_catalog.pg_depend 2 acaweb_fx.pg_catalog.pg_class 2 acaweb_fx.public.stats_hrsapproaches_summary_2d 1 acaweb_fx.public.stats_hrs_summary_2d 1 acaweb_fx.public.latest_t15_candle_view 1 acaweb_fx.public.variables 1 acaweb_fx.public.latest_candle_datetime_per_receng 1 Total 22 Vacuums per table
Key values
- public.datafeeds_latestrun (4) Main table vacuumed on database acaweb_fx
- 21 vacuums Total
Index Buffer usage Skipped WAL usage Table Vacuums scans hits misses dirtied pins frozen records full page bytes acaweb_fx.public.datafeeds_latestrun 4 0 483 0 12 0 0 38 9 45,853 acaweb_fx.pg_catalog.pg_attribute 4 4 3,081 0 393 0 268 1,034 290 1,546,101 acaweb_fx.pg_catalog.pg_type 3 3 414 0 77 0 0 167 50 301,469 acaweb_fx.public.stats_hrsapproaches_summary_2d 2 2 49,445 0 3,700 0 9,747 19,695 4,965 14,973,783 acaweb_fx.public.stats_summary_2d 2 1 207,692 0 14,664 2 28,796 82,408 11,509 55,163,671 acaweb_fx.pg_catalog.pg_class 2 2 549 0 82 0 156 214 84 480,678 acaweb_fx.public.stats_hrs_summary_2d 1 1 37,513 0 3,270 0 3,451 18,736 3,254 13,223,908 acaweb_fx.pg_catalog.pg_statistic 1 1 999 0 94 0 581 282 102 392,124 acaweb_fx.public.latest_t15_candle_view 1 1 94 0 1 0 0 6 1 9,055 acaweb_fx.public.variables 1 1 154 0 1 0 67 22 2 13,894 Total 21 16 300,424 53,870 22,294 2 43,066 122,602 20,266 86,150,536 Tuples removed per table
Key values
- public.stats_summary_2d (1120892) Main table with removed tuples on database acaweb_fx
- 1650603 tuples Total removed
Index Tuples Pages Table Vacuums scans removed remain not yet removable removed remain acaweb_fx.public.stats_summary_2d 2 1 1,120,892 2,228,268 570,474 0 59,532 acaweb_fx.public.stats_hrsapproaches_summary_2d 2 2 265,011 373,607 92,616 0 15,098 acaweb_fx.public.stats_hrs_summary_2d 1 1 257,845 181,676 0 0 7,040 acaweb_fx.pg_catalog.pg_attribute 4 4 4,524 46,588 3,960 0 1,072 acaweb_fx.pg_catalog.pg_statistic 1 1 696 3,836 63 0 1,194 acaweb_fx.pg_catalog.pg_type 3 3 678 4,717 352 0 132 acaweb_fx.public.variables 1 1 594 4 0 68 5 acaweb_fx.public.datafeeds_latestrun 4 0 190 82 26 0 64 acaweb_fx.pg_catalog.pg_class 2 2 114 5,276 88 0 300 acaweb_fx.public.latest_t15_candle_view 1 1 59 12 0 0 1 Total 21 16 1,650,603 2,844,066 667,579 68 84,438 Pages removed per table
Key values
- public.variables (68) Main table with removed pages on database acaweb_fx
- 68 pages Total removed
Table Number of vacuums Index scans Tuples removed Pages removed acaweb_fx.public.variables 1 1 594 68 acaweb_fx.public.stats_hrsapproaches_summary_2d 2 2 265011 0 acaweb_fx.pg_catalog.pg_type 3 3 678 0 acaweb_fx.public.datafeeds_latestrun 4 0 190 0 acaweb_fx.public.stats_hrs_summary_2d 1 1 257845 0 acaweb_fx.pg_catalog.pg_statistic 1 1 696 0 acaweb_fx.pg_catalog.pg_attribute 4 4 4524 0 acaweb_fx.public.stats_summary_2d 2 1 1120892 0 acaweb_fx.public.latest_t15_candle_view 1 1 59 0 acaweb_fx.pg_catalog.pg_class 2 2 114 0 Total 21 16 1,650,603 68 Autovacuum Activity
↑ Back to the top of the Autovacuum Activity tableDay Hour VACUUMs ANALYZEs Mar 28 06 21 22 - 0 sec Highest CPU-cost vacuum
-
Locks
Locks by types
Key values
- AccessShareLock Main Lock Type
- 10 locks Total
Most frequent waiting queries (N)
Rank Count Total time Min time Max time Avg duration Query 1 9 20m9s 1m56s 2m26s 2m14s select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?;-
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1';
Date: 2026-03-28 06:19:27
2 1 2m26s 2m26s 2m26s 2m26s refresh materialized view latest_candle_datetime_per_receng;-
refresh materialized view latest_candle_datetime_per_receng;
Date: 2026-03-28 06:19:27
Queries that waited the most
Rank Wait time Query 1 2m26s SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1';[ Date: 2026-03-28 06:19:27 ]
2 2m26s refresh materialized view latest_candle_datetime_per_receng;[ Date: 2026-03-28 06:19:27 ]
3 2m24s SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1';[ Date: 2026-03-28 06:19:27 ]
4 2m24s SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1';[ Date: 2026-03-28 06:19:27 ]
5 2m23s SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'MILLENNIUMPF - 1';[ Date: 2026-03-28 06:19:27 ]
6 2m18s SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1';[ Date: 2026-03-28 06:19:27 ]
7 2m10s SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'PEPPERSTONE - 1';[ Date: 2026-03-28 06:19:27 ]
8 2m9s SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'FPMARKETS - 1';[ Date: 2026-03-28 06:19:27 ]
9 1m56s SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ICMARKETS-AU-MT5 - 1';[ Date: 2026-03-28 06:19:27 ]
10 1m56s SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'IQFEED_FX - 1';[ Date: 2026-03-28 06:19:27 ]
-
Queries
Queries by type
Key values
- 30,174 Total read queries
- 16,460 Total write queries
Queries by database
Key values
- unknown Main database
- 97,012 Requests
- 3h14m12s (unknown)
- Main time consuming database
Database Request type Count Duration acaweb_fx Total 1,517 0ms delete 504 0ms others 212 0ms select 440 0ms tcl 333 0ms update 28 0ms acaweb_fx_integer Total 1 0ms select 1 0ms postgres Total 3 0ms select 3 0ms socialmedia Total 63 0ms select 63 0ms translations Total 1 0ms select 1 0ms unknown Total 97,012 3h14m12s copy to 576 0ms cte 2,408 0ms insert 11,517 0ms others 2,786 0ms select 29,666 0ms tcl 528 0ms update 566 0ms Queries by user
Key values
- unknown Main user
- 97,012 Requests
User Request type Count Duration postgres Total 1,585 0ms delete 504 0ms others 212 0ms select 508 0ms tcl 333 0ms update 28 0ms unknown Total 97,012 3h14m12s copy to 576 0ms cte 2,408 0ms insert 11,517 0ms others 2,786 0ms select 29,666 0ms tcl 528 0ms update 566 0ms Duration by user
Key values
- 3h14m12s (unknown) Main time consuming user
User Request type Count Duration postgres Total 1,585 0ms delete 504 0ms others 212 0ms select 508 0ms tcl 333 0ms update 28 0ms unknown Total 97,012 3h14m12s copy to 576 0ms cte 2,408 0ms insert 11,517 0ms others 2,786 0ms select 29,666 0ms tcl 528 0ms update 566 0ms Queries by host
Key values
- unknown Main host
- 98,597 Requests
- 3h14m12s (unknown)
- Main time consuming host
Queries by application
Key values
- unknown Main application
- 97,615 Requests
- 3h14m12s (unknown)
- Main time consuming application
Number of cancelled queries
Key values
- 1 per second Cancelled query Peak
- 2026-03-28 06:36:16 Date
Number of cancelled queries (5 minutes period)
NO DATASET
-
Top Queries
Histogram of query times
Key values
- 33,792 0-1ms duration
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 1 0ms 0ms 0ms lock table public.stats_hrs_summary_by_groups in access share mode;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 28 06 1 0ms 0ms 2 0ms 2 0ms 0ms 0ms copy public.powerstats_trumpet (symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) to stdout;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 3 0ms 2 0ms 0ms 0ms select last_value, is_called from public.stats_by_groups_statsid_seq;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 4 0ms 2 0ms 0ms 0ms lock table public.timezones_korean in access share mode;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 5 0ms 4 0ms 0ms 0ms select key, value from datasources ds inner join datasourceparams dsp on ds.id = dsp.datasourceid where ds.name = ?;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Mar 28 06 4 0ms 0ms 6 0ms 2 0ms 0ms 0ms copy public.t30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived, pricesadjusted, relevanceprocessed, recengprocessedadjusted, historical) to stdout;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 7 0ms 1 0ms 0ms 0ms copy public.processresults (id, processid, resultdate, shorttext, longtext, title, test) to stdout;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Mar 28 06 1 0ms 0ms 8 0ms 2,462 0ms 0ms 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 #8
Day Hour Count Duration Avg duration Mar 28 06 2,462 0ms 0ms 9 0ms 2 0ms 0ms 0ms select last_value, is_called from public.keylevels_results_resultuid_seq19;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 10 0ms 2 0ms 0ms 0ms copy archive.whatshot (whid, brokerid, whdatetime, jobcompletiontime) to stdout;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 11 0ms 5 0ms 0ms 0ms set synchronize_seqscans to off;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 28 06 5 0ms 0ms 12 0ms 237 0ms 0ms 0ms select * from ( select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity) as k order by timegranularity;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Mar 28 06 237 0ms 0ms 13 0ms 1 0ms 0ms 0ms select last_value, is_called from public."ProcessLocaleParameters_id_seq";Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 28 06 1 0ms 0ms 14 0ms 979 0ms 0ms 0ms select oid, tableoid, pol.polname, pol.polcmd, pol.polpermissive, case when pol.polroles = ? then null else pg_catalog.array_to_string(array ( select pg_catalog.quote_ident(rolname) from pg_catalog.pg_roles where oid = any (pol.polroles)), ?) end as polroles, pg_catalog.pg_get_expr(pol.polqual, pol.polrelid) as polqual, pg_catalog.pg_get_expr(pol.polwithcheck, pol.polrelid) as polwithcheck from pg_catalog.pg_policy pol where polrelid = ?;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 28 06 979 0ms 0ms 15 0ms 2 0ms 0ms 0ms lock table public.timezones_turkish in access share mode;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 16 0ms 2 0ms 0ms 0ms copy public.timezones_greek (timezoneid, timezone) to stdout;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 17 0ms 2 0ms 0ms 0ms lock table public.futures_symbols in access share mode;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 18 0ms 2 0ms 0ms 0ms copy archive.autochartist_results (resultid, bandwidth, pattern, gmttimefound, direction, initialtrend, breakout, volumeincrease, noise, symmetry, patternstarttime, patternendtime, patternstartprice, patternendprice, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, supportgradient, resgradient, riskreward, qtytp, predictionpricefrom, predictionpriceto, predictiontimefrom, predictiontimeto, patternquality, trendchange, maxmovementafterbreakout, latestbaratbreakouttime, latestbaratbreakoutprice, patternlengthbars, temporarypattern, symbolid, resultuid, relevancestartdistance, simulation, writtendatetime, old_resultuid) to stdout;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 19 0ms 2 0ms 0ms 0ms copy public.satelliteauthentication (id, satelliteserverid, brokerid, authenticationstatus, maketradeurl, notifications, validusername, validpassword, enabled) to stdout;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 20 0ms 2 0ms 0ms 0ms lock table archive.patternresultsage in access share mode;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms Most frequent queries (N)
Rank Times executed Total duration Min duration Max duration Avg duration Query 1 5,119 0ms 0ms 0ms 0ms select ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 28 06 5,119 0ms 0ms 2 2,860 0ms 0ms 0ms 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 #2
Day Hour Count Duration Avg duration Mar 28 06 2,860 0ms 0ms 3 2,559 0ms 0ms 0ms 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 #3
Day Hour Count Duration Avg duration Mar 28 06 2,559 0ms 0ms 4 2,462 0ms 0ms 0ms 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 Mar 28 06 2,462 0ms 0ms 5 2,452 0ms 0ms 0ms 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 #5
Day Hour Count Duration Avg duration Mar 28 06 2,452 0ms 0ms 6 2,425 0ms 0ms 0ms 0ms insert into executionlogs (executionid, status, message, details, detailtype) values (null, ?, ?, null, null);Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Mar 28 06 2,425 0ms 0ms 7 2,313 0ms 0ms 0ms 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 #7
Day Hour Count Duration Avg duration Mar 28 06 2,313 0ms 0ms 8 1,664 0ms 0ms 0ms 0ms select pg_catalog.format_type(?::pg_catalog.oid, null);Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Mar 28 06 1,664 0ms 0ms 9 979 0ms 0ms 0ms 0ms select oid, tableoid, pol.polname, pol.polcmd, pol.polpermissive, case when pol.polroles = ? then null else pg_catalog.array_to_string(array ( select pg_catalog.quote_ident(rolname) from pg_catalog.pg_roles where oid = any (pol.polroles)), ?) end as polroles, pg_catalog.pg_get_expr(pol.polqual, pol.polrelid) as polqual, pg_catalog.pg_get_expr(pol.polwithcheck, pol.polrelid) as polwithcheck from pg_catalog.pg_policy pol where polrelid = ?;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 28 06 979 0ms 0ms 10 927 0ms 0ms 0ms 0ms select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Mar 28 06 927 0ms 0ms -
SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'HOTFOREX - 1';
Date: 2026-03-28 06:19:27 Duration: 0ms
11 814 0ms 0ms 0ms 0ms set extra_float_digits = ?;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 28 06 814 0ms 0ms 12 802 0ms 0ms 0ms 0ms set application_name = ?;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Mar 28 06 802 0ms 0ms 13 789 0ms 0ms 0ms 0ms select a.attnum, a.attname, a.atttypmod, a.attstattarget, a.attstorage, t.typstorage, a.attnotnull, a.atthasdef, a.attisdropped, a.attlen, a.attalign, a.attislocal, pg_catalog.format_type(t.oid, a.atttypmod) as atttypname, a.attgenerated, case when a.atthasmissing and not a.attisdropped then a.attmissingval else null end as attmissingval, a.attidentity, pg_catalog.array_to_string(array ( select pg_catalog.quote_ident(option_name) || ? || pg_catalog.quote_literal(option_value) from pg_catalog.pg_options_to_table(attfdwoptions) order by option_name), e ?) as attfdwoptions, case when a.attcollation <> t.typcollation then a.attcollation else ? end as attcollation, array_to_string(a.attoptions, ?) as attoptions from pg_catalog.pg_attribute a left join pg_catalog.pg_type t on a.atttypid = t.oid where a.attrelid = ?::pg_catalog.oid and a.attnum > ?::pg_catalog.int2 order by a.attnum;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 28 06 789 0ms 0ms 14 676 0ms 0ms 0ms 0ms select at.attname, ( select pg_catalog.array_agg(acl order by row_n) from ( select acl, row_n from pg_catalog.unnest(coalesce(at.attacl, pg_catalog.acldefault(?, c.relowner))) with ordinality as perm (acl, row_n) where not exists ( select ? from pg_catalog.unnest(coalesce(pip.initprivs, pg_catalog.acldefault(?, c.relowner))) as init (init_acl) where acl = init_acl)) as foo) as attacl, ( select pg_catalog.array_agg(acl order by row_n) from ( select acl, row_n from pg_catalog.unnest(coalesce(pip.initprivs, pg_catalog.acldefault(?, c.relowner))) with ordinality as initp (acl, row_n) where not exists ( select ? from pg_catalog.unnest(coalesce(at.attacl, pg_catalog.acldefault(?, c.relowner))) as permp (orig_acl) where acl = orig_acl)) as foo) as rattacl, null as initattacl, null as initrattacl from pg_catalog.pg_attribute at join pg_catalog.pg_class c on (at.attrelid = c.oid) left join pg_catalog.pg_init_privs pip on (at.attrelid = pip.objoid and pip.classoid = ?::pg_catalog.regclass and at.attnum = pip.objsubid) where at.attrelid = ?::pg_catalog.oid and not at.attisdropped and (( select pg_catalog.array_agg(acl order by row_n) from ( select acl, row_n from pg_catalog.unnest(coalesce(at.attacl, pg_catalog.acldefault(?, c.relowner))) with ordinality as perm (acl, row_n) where not exists ( select ? from pg_catalog.unnest(coalesce(pip.initprivs, pg_catalog.acldefault(?, c.relowner))) as init (init_acl) where acl = init_acl)) as foo) is not null or ( select pg_catalog.array_agg(acl order by row_n) from ( select acl, row_n from pg_catalog.unnest(coalesce(pip.initprivs, pg_catalog.acldefault(?, c.relowner))) with ordinality as initp (acl, row_n) where not exists ( select ? from pg_catalog.unnest(coalesce(at.attacl, pg_catalog.acldefault(?, c.relowner))) as permp (orig_acl) where acl = orig_acl)) as foo) is not null or null is not null or null is not null) order by at.attnum;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 28 06 676 0ms 0ms 15 653 0ms 0ms 0ms 0ms select proretset, prosrc, probin, pg_catalog.pg_get_function_arguments(oid) as funcargs, pg_catalog.pg_get_function_identity_arguments(oid) as funciargs, pg_catalog.pg_get_function_result(oid) as funcresult, array_to_string(protrftypes, ?) as protrftypes, prokind, provolatile, proisstrict, prosecdef, proleakproof, proconfig, procost, prorows, prosupport, proparallel, ( select lanname from pg_catalog.pg_language where oid = prolang) as lanname from pg_catalog.pg_proc where oid = ?::pg_catalog.oid;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 28 06 653 0ms 0ms 16 576 0ms 0ms 0ms 0ms select pr.tableoid, pr.oid, p.pubname from pg_publication_rel pr, pg_publication p where pr.prrelid = ? and p.oid = pr.prpubid;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Mar 28 06 576 0ms 0ms 17 503 0ms 0ms 0ms 0ms select symbolid, pricedatetime, classname, downloadfrequency, downloadersymbol, open, high, low, close, volume, bsf, sastdatetimereceived from ( select pricedatetime, dss.classname, dss.downloadfrequency, dss.symbolid, dss.downloadersymbol, t.open, t.high, t.low, t.close, t.volume, t.bsf, t.sastdatetimereceived, row_number() over (partition by t.symbolid order by t.pricedatetime desc) as rn from t15 t, downloadersymbolsettings dss, symbols s where dss.classname = ? and dss.downloadfrequency = ? and dss.symbolid = t.symbolid and s.symbolid = dss.symbolid and dss.enabled = ? and s.deleted = ? and dss.downloadersymbol in (...) and t.pricedatetime > now() - interval ?) as ranked_candles_table where rn = ?;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 28 06 503 0ms 0ms 18 495 0ms 0ms 0ms 0ms select t.tableoid, t.oid, t.relname as indexname, inh.inhparent as parentidx, pg_catalog.pg_get_indexdef(i.indexrelid) as indexdef, i.indnkeyatts as indnkeyatts, i.indnatts as indnatts, i.indkey, i.indisclustered, i.indisreplident, c.contype, c.conname, c.condeferrable, c.condeferred, c.tableoid as contableoid, c.oid as conoid, pg_catalog.pg_get_constraintdef(c.oid, false) as condef, ( select spcname from pg_catalog.pg_tablespace s where s.oid = t.reltablespace) as tablespace, t.reloptions as indreloptions, ( select pg_catalog.array_agg(attnum order by attnum) from pg_catalog.pg_attribute where attrelid = i.indexrelid and attstattarget >= ?) as indstatcols, ( select pg_catalog.array_agg(attstattarget order by attnum) from pg_catalog.pg_attribute where attrelid = i.indexrelid and attstattarget >= ?) as indstatvals from pg_catalog.pg_index i join pg_catalog.pg_class t on (t.oid = i.indexrelid) join pg_catalog.pg_class t2 on (t2.oid = i.indrelid) left join pg_catalog.pg_constraint c on (i.indrelid = c.conrelid and i.indexrelid = c.conindid and c.contype in (...)) left join pg_catalog.pg_inherits inh on (inh.inhrelid = indexrelid) where i.indrelid = ?::pg_catalog.oid and (i.indisvalid or t2.relkind = ?) and i.indisready order by indexname;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 28 06 495 0ms 0ms 19 433 0ms 0ms 0ms 0ms begin;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 28 06 433 0ms 0ms 20 364 0ms 0ms 0ms 0ms commit;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 28 06 364 0ms 0ms Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 0ms 0ms 0ms 1 0ms lock table public.stats_hrs_summary_by_groups in access share mode;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 28 06 1 0ms 0ms 2 0ms 0ms 0ms 2 0ms copy public.powerstats_trumpet (symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) to stdout;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 3 0ms 0ms 0ms 2 0ms select last_value, is_called from public.stats_by_groups_statsid_seq;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 4 0ms 0ms 0ms 2 0ms lock table public.timezones_korean in access share mode;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 5 0ms 0ms 0ms 4 0ms select key, value from datasources ds inner join datasourceparams dsp on ds.id = dsp.datasourceid where ds.name = ?;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Mar 28 06 4 0ms 0ms 6 0ms 0ms 0ms 2 0ms copy public.t30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived, pricesadjusted, relevanceprocessed, recengprocessedadjusted, historical) to stdout;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 7 0ms 0ms 0ms 1 0ms copy public.processresults (id, processid, resultdate, shorttext, longtext, title, test) to stdout;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Mar 28 06 1 0ms 0ms 8 0ms 0ms 0ms 2,462 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 #8
Day Hour Count Duration Avg duration Mar 28 06 2,462 0ms 0ms 9 0ms 0ms 0ms 2 0ms select last_value, is_called from public.keylevels_results_resultuid_seq19;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 10 0ms 0ms 0ms 2 0ms copy archive.whatshot (whid, brokerid, whdatetime, jobcompletiontime) to stdout;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 11 0ms 0ms 0ms 5 0ms set synchronize_seqscans to off;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 28 06 5 0ms 0ms 12 0ms 0ms 0ms 237 0ms select * from ( select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity) as k order by timegranularity;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Mar 28 06 237 0ms 0ms 13 0ms 0ms 0ms 1 0ms select last_value, is_called from public."ProcessLocaleParameters_id_seq";Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 28 06 1 0ms 0ms 14 0ms 0ms 0ms 979 0ms select oid, tableoid, pol.polname, pol.polcmd, pol.polpermissive, case when pol.polroles = ? then null else pg_catalog.array_to_string(array ( select pg_catalog.quote_ident(rolname) from pg_catalog.pg_roles where oid = any (pol.polroles)), ?) end as polroles, pg_catalog.pg_get_expr(pol.polqual, pol.polrelid) as polqual, pg_catalog.pg_get_expr(pol.polwithcheck, pol.polrelid) as polwithcheck from pg_catalog.pg_policy pol where polrelid = ?;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 28 06 979 0ms 0ms 15 0ms 0ms 0ms 2 0ms lock table public.timezones_turkish in access share mode;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 16 0ms 0ms 0ms 2 0ms copy public.timezones_greek (timezoneid, timezone) to stdout;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 17 0ms 0ms 0ms 2 0ms lock table public.futures_symbols in access share mode;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 18 0ms 0ms 0ms 2 0ms copy archive.autochartist_results (resultid, bandwidth, pattern, gmttimefound, direction, initialtrend, breakout, volumeincrease, noise, symmetry, patternstarttime, patternendtime, patternstartprice, patternendprice, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, supportgradient, resgradient, riskreward, qtytp, predictionpricefrom, predictionpriceto, predictiontimefrom, predictiontimeto, patternquality, trendchange, maxmovementafterbreakout, latestbaratbreakouttime, latestbaratbreakoutprice, patternlengthbars, temporarypattern, symbolid, resultuid, relevancestartdistance, simulation, writtendatetime, old_resultuid) to stdout;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 19 0ms 0ms 0ms 2 0ms copy public.satelliteauthentication (id, satelliteserverid, brokerid, authenticationstatus, maketradeurl, notifications, validusername, validpassword, enabled) to stdout;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms 20 0ms 0ms 0ms 2 0ms lock table archive.patternresultsage in access share mode;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 28 06 2 0ms 0ms Time consuming prepare
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 1s135ms 599 0ms 20ms 1ms SELECT symbolid, ;Times Reported Time consuming prepare #1
Day Hour Count Duration Avg duration Mar 28 06 599 1s135ms 1ms -
SELECT symbolid, ;
Date: 2026-03-28 06:38:04 Duration: 20ms Database: postgres
-
SELECT symbolid, ;
Date: 2026-03-28 06:30:42 Duration: 9ms Database: postgres
-
SELECT symbolid, ;
Date: 2026-03-28 06:10:02 Duration: 8ms Database: postgres
2 761ms 701 0ms 9ms 1ms WITH rar_max as ( ;Times Reported Time consuming prepare #2
Day Hour Count Duration Avg duration 06 701 761ms 1ms -
WITH rar_max as ( ;
Date: 2026-03-28 06:35:37 Duration: 9ms Database: postgres
-
WITH rar_max as ( ;
Date: 2026-03-28 06:19:16 Duration: 7ms Database: postgres
-
WITH rar_max as ( ;
Date: 2026-03-28 06:14:06 Duration: 7ms Database: postgres
3 287ms 721 0ms 6ms 0ms SELECT ;Times Reported Time consuming prepare #3
Day Hour Count Duration Avg duration 06 721 287ms 0ms -
SELECT ;
Date: 2026-03-28 06:41:42 Duration: 6ms Database: postgres
-
SELECT ;
Date: 2026-03-28 06:22:37 Duration: 4ms Database: postgres
-
SELECT ;
Date: 2026-03-28 06:30:40 Duration: 3ms Database: postgres
4 260ms 2,363 0ms 0ms 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 prepare #4
Day Hour Count Duration Avg duration 06 2,363 260ms 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: 2026-03-28 06:10:43 Duration: 0ms Database: postgres
-
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: 2026-03-28 06:11:43 Duration: 0ms Database: postgres
-
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: 2026-03-28 06:11:01 Duration: 0ms Database: postgres
5 223ms 164 0ms 2ms 1ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming prepare #5
Day Hour Count Duration Avg duration 06 164 223ms 1ms -
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-28 06:30:41 Duration: 2ms Database: postgres
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-28 06:16:58 Duration: 1ms Database: postgres
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-28 06:16:23 Duration: 1ms Database: postgres
6 219ms 2,417 0ms 2ms 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 prepare #6
Day Hour Count Duration Avg duration 06 2,417 219ms 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: 2026-03-28 06:36:01 Duration: 2ms Database: postgres
-
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: 2026-03-28 06:32:43 Duration: 0ms Database: postgres
-
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: 2026-03-28 06:10:59 Duration: 0ms Database: postgres
7 144ms 814 0ms 7ms 0ms SET extra_float_digits = 3;Times Reported Time consuming prepare #7
Day Hour Count Duration Avg duration 06 814 144ms 0ms -
SET extra_float_digits = 3;
Date: 2026-03-28 06:49:28 Duration: 7ms Database: postgres
-
SET extra_float_digits = 3;
Date: 2026-03-28 06:26:02 Duration: 1ms Database: postgres
-
SET extra_float_digits = 3;
Date: 2026-03-28 06:40:22 Duration: 0ms Database: postgres
8 126ms 556 0ms 10ms 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 prepare #8
Day Hour Count Duration Avg duration 06 556 126ms 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: 2026-03-28 06:37:58 Duration: 10ms Database: postgres
-
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: 2026-03-28 06:35:51 Duration: 1ms Database: postgres
-
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: 2026-03-28 06:47:38 Duration: 0ms Database: postgres
9 62ms 18 2ms 7ms 3ms select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;Times Reported Time consuming prepare #9
Day Hour Count Duration Avg duration 06 18 62ms 3ms -
select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;
Date: 2026-03-28 06:40:02 Duration: 7ms Database: postgres
-
select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;
Date: 2026-03-28 06:20:03 Duration: 6ms Database: postgres
-
select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;
Date: 2026-03-28 06:30:03 Duration: 6ms Database: postgres
10 46ms 360 0ms 0ms 0ms INSERT INTO T1440_underlying (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 prepare #10
Day Hour Count Duration Avg duration 06 360 46ms 0ms -
INSERT INTO T1440_underlying (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: 2026-03-28 06:17:53 Duration: 0ms Database: postgres
-
INSERT INTO T1440_underlying (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: 2026-03-28 06:30:59 Duration: 0ms Database: postgres
-
INSERT INTO T1440_underlying (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: 2026-03-28 06:48:00 Duration: 0ms Database: postgres
11 34ms 360 0ms 0ms 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 prepare #11
Day Hour Count Duration Avg duration 06 360 34ms 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: 2026-03-28 06:15:52 Duration: 0ms Database: postgres
-
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: 2026-03-28 06:47:58 Duration: 0ms Database: postgres
-
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: 2026-03-28 06:30:51 Duration: 0ms Database: postgres
12 27ms 3 0ms 25ms 9ms SELECT DISTINCT ON (basegroupname, symbol) ;Times Reported Time consuming prepare #12
Day Hour Count Duration Avg duration 06 3 27ms 9ms -
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-28 06:11:00 Duration: 25ms Database: postgres
-
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-28 06:21:02 Duration: 1ms Database: postgres
-
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-28 06:02:27 Duration: 0ms Database: postgres
13 19ms 6 2ms 4ms 3ms select client_addr, count(1) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by client_addr, setting having (client_addr is not null OR (client_addr is null and count(1) > (cast(setting as numeric) / 3 * 2))) order by count desc;Times Reported Time consuming prepare #13
Day Hour Count Duration Avg duration 06 6 19ms 3ms -
select client_addr, count(1) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by client_addr, setting having (client_addr is not null OR (client_addr is null and count(1) > (cast(setting as numeric) / 3 * 2))) order by count desc;
Date: 2026-03-28 06:10:04 Duration: 4ms Database: postgres
-
select client_addr, count(1) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by client_addr, setting having (client_addr is not null OR (client_addr is null and count(1) > (cast(setting as numeric) / 3 * 2))) order by count desc;
Date: 2026-03-28 06:20:05 Duration: 3ms Database: postgres
-
select client_addr, count(1) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by client_addr, setting having (client_addr is not null OR (client_addr is null and count(1) > (cast(setting as numeric) / 3 * 2))) order by count desc;
Date: 2026-03-28 06:40:04 Duration: 3ms Database: postgres
14 18ms 296 0ms 4ms 0ms select 1;Times Reported Time consuming prepare #14
Day Hour Count Duration Avg duration 06 296 18ms 0ms -
select 1;
Date: 2026-03-28 06:26:03 Duration: 4ms Database: postgres
-
select 1;
Date: 2026-03-28 06:14:02 Duration: 0ms Database: postgres
-
select 1;
Date: 2026-03-28 06:22:37 Duration: 0ms Database: postgres
15 12ms 802 0ms 1ms 0ms SET application_name = 'PostgreSQL JDBC Driver';Times Reported Time consuming prepare #15
Day Hour Count Duration Avg duration 06 802 12ms 0ms -
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-28 06:50:00 Duration: 1ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-28 06:50:00 Duration: 0ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-28 06:40:46 Duration: 0ms Database: postgres
16 7ms 5 0ms 4ms 1ms WITH last_candle AS ( ;Times Reported Time consuming prepare #16
Day Hour Count Duration Avg duration 06 5 7ms 1ms -
WITH last_candle AS ( ;
Date: 2026-03-28 06:32:00 Duration: 4ms Database: postgres
-
WITH last_candle AS ( ;
Date: 2026-03-28 06:48:00 Duration: 0ms Database: postgres
-
WITH last_candle AS ( ;
Date: 2026-03-28 06:40:00 Duration: 0ms Database: postgres
17 3ms 2 1ms 2ms 1ms SELECT * FROM datafeed_symbols WHERE classname ilike 'ICMARKETS-AU-MT5' LIMIT $1;Times Reported Time consuming prepare #17
Day Hour Count Duration Avg duration 06 2 3ms 1ms -
SELECT * FROM datafeed_symbols WHERE classname ilike 'ICMARKETS-AU-MT5' LIMIT $1;
Date: 2026-03-28 06:21:50 Duration: 2ms Database: postgres
-
SELECT * FROM datafeed_symbols WHERE classname ilike 'ICMARKETS-AU-MT5' LIMIT $1;
Date: 2026-03-28 06:51:48 Duration: 1ms Database: postgres
18 3ms 2 0ms 2ms 1ms WITH rcr_max as ( ;Times Reported Time consuming prepare #18
Day Hour Count Duration Avg duration 06 2 3ms 1ms -
WITH rcr_max as ( ;
Date: 2026-03-28 06:48:43 Duration: 2ms Database: postgres
-
WITH rcr_max as ( ;
Date: 2026-03-28 06:49:57 Duration: 0ms Database: postgres
19 3ms 3 0ms 2ms 1ms SELECT groupid, ;Times Reported Time consuming prepare #19
Day Hour Count Duration Avg duration 06 3 3ms 1ms -
SELECT groupid, ;
Date: 2026-03-28 06:30:40 Duration: 2ms Database: postgres
-
SELECT groupid, ;
Date: 2026-03-28 06:30:39 Duration: 0ms Database: postgres
-
SELECT groupid, ;
Date: 2026-03-28 06:30:39 Duration: 0ms Database: postgres
20 3ms 1 3ms 3ms 3ms SELECT * FROM broker_stats_groups_view WHERE brokerid = 632 LIMIT $1;Times Reported Time consuming prepare #20
Day Hour Count Duration Avg duration 06 1 3ms 3ms -
SELECT * FROM broker_stats_groups_view WHERE brokerid = 632 LIMIT $1;
Date: 2026-03-28 06:55:15 Duration: 3ms Database: postgres
Time consuming bind
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 15s691ms 1,433 0ms 59ms 10ms WITH rar_max as ( ;Times Reported Time consuming bind #1
Day Hour Count Duration Avg duration Mar 28 06 1,433 15s691ms 10ms -
WITH rar_max as ( ;
Date: 2026-03-28 06:32:38 Duration: 59ms Database: postgres parameters: $1 = '667', $2 = '7', $3 = '15', $4 = '30', $5 = '60', $6 = '120', $7 = '240', $8 = '480', $9 = '1440', $10 = '0', $11 = '', $12 = '84', $13 = 'AUDCAD', $14 = 'AUDCHF', $15 = 'AUDJPY', $16 = 'AUDNZD', $17 = 'AUDSGD', $18 = 'CADCHF', $19 = 'CADJPY', $20 = 'CHFJPY', $21 = 'EURAUD', $22 = 'EURCAD', $23 = 'EURCHF', $24 = 'EURCZK', $25 = 'EURGBP', $26 = 'EURHUF', $27 = 'EURJPY', $28 = 'EURNOK', $29 = 'EURNZD', $30 = 'EURPLN', $31 = 'EURSEK', $32 = 'EURSGD', $33 = 'EURTRY', $34 = 'EURZAR', $35 = 'GBPAUD', $36 = 'GBPCAD', $37 = 'GBPCHF', $38 = 'GBPJPY', $39 = 'GBPNZD', $40 = 'GBPPLN', $41 = 'GBPSEK', $42 = 'GBPSGD', $43 = 'NZDCAD', $44 = 'NZDCHF', $45 = 'NZDJPY', $46 = 'NZDSGD', $47 = 'USDCNH', $48 = 'USDCZK', $49 = 'USDHUF', $50 = 'USDNOK', $51 = 'USDPLN', $52 = 'USDSEK', $53 = 'USDSGD', $54 = 'USDTRY', $55 = 'USDZAR', $56 = 'WTI', $57 = 'XBRUSD', $58 = 'XTIUSD', $59 = 'BTCUSD', $60 = 'XAGAUD', $61 = 'XAGUSD', $62 = 'XAUAUD', $63 = 'XAUUSD', $64 = 'XPTUSD', $65 = 'XPDUSD', $66 = 'AUDUSD', $67 = 'EURUSD', $68 = 'GBPUSD', $69 = 'NZDUSD', $70 = 'USDCAD', $71 = 'USDCHF', $72 = 'USDHKD', $73 = 'USDJPY', $74 = 'AUS200', $75 = 'CHINA300', $76 = 'CHINA50', $77 = 'DJ30', $78 = 'ESP35t', $79 = 'EUR50', $80 = 'EURO50', $81 = 'FRA40', $82 = 'GDAXI', $83 = 'GDAXIm', $84 = 'HK50', $85 = 'ITA40', $86 = 'J225', $87 = 'JP225', $88 = 'NAS100', $89 = 'SING30', $90 = 'SPA35', $91 = 'STOXX50', $92 = 'SUI20', $93 = 'UK100', $94 = 'US100', $95 = 'US30', $96 = 'US500', $97 = '700', $98 = '700', $99 = 't', $100 = '10', $101 = '10'
-
WITH rar_max as ( ;
Date: 2026-03-28 06:36:11 Duration: 57ms Database: postgres parameters: $1 = '538', $2 = '7', $3 = '15', $4 = '30', $5 = '60', $6 = '120', $7 = '240', $8 = '480', $9 = '1440', $10 = '0', $11 = '', $12 = '125', $13 = 'ANGLO', $14 = 'BARC', $15 = 'BAY', $16 = 'BPLON', $17 = 'HSBCL', $18 = 'LLOY', $19 = 'RIO', $20 = 'RollsRoyce', $21 = 'TESCO', $22 = 'VOD', $23 = 'AUDCAD', $24 = 'AUDCHF', $25 = 'AUDJPY', $26 = 'AUDNZD', $27 = 'AUDUSD', $28 = 'CADCHF', $29 = 'CADJPY', $30 = 'CHFJPY', $31 = 'EURAUD', $32 = 'EURCAD', $33 = 'EURCHF', $34 = 'EURDKK', $35 = 'EURGBP', $36 = 'EURHUF', $37 = 'EURJPY', $38 = 'EURNOK', $39 = 'EURNZD', $40 = 'EURPLN', $41 = 'EURUSD', $42 = 'GBPAUD', $43 = 'GBPCAD', $44 = 'GBPCHF', $45 = 'GBPJPY', $46 = 'GBPNZD', $47 = 'GBPUSD', $48 = 'GBPZAR', $49 = 'NZDCAD', $50 = 'NZDCHF', $51 = 'NZDJPY', $52 = 'NZDUSD', $53 = 'USDCAD', $54 = 'USDCHF', $55 = 'USDCNH', $56 = 'USDCZK', $57 = 'USDDKK', $58 = 'USDHKD', $59 = 'USDHUF', $60 = 'USDJPY', $61 = 'USDMXN', $62 = 'USDNOK', $63 = 'USDPLN', $64 = 'USDSEK', $65 = 'USDSGD', $66 = 'USDTRY', $67 = 'USDZAR', $68 = 'XAGEUR', $69 = 'XAGUSD', $70 = 'XAUEUR', $71 = 'XAUUSD', $72 = 'ZARJPY', $73 = 'Cocoa', $74 = 'Coffee', $75 = 'Copper', $76 = 'Palladium', $77 = 'Platinum', $78 = 'Sugar', $79 = 'UKOIL', $80 = 'USOIL', $81 = 'AUS200', $82 = 'FRA40', $83 = 'JPN225', $84 = 'NETH25', $85 = 'SPA35', $86 = 'SUI20', $87 = 'UK100', $88 = 'USA100', $89 = 'USA30', $90 = 'USDIndex', $91 = 'ALCOA', $92 = 'ALIBABA', $93 = 'AMAZON', $94 = 'AMEX', $95 = 'APPLE', $96 = 'BBVA', $97 = 'BOA', $98 = 'BOEING', $99 = 'CHEVRON', $100 = 'CISCO', $101 = 'COKE', $102 = 'EBAY', $103 = 'GE', $104 = 'GOOGLE', $105 = 'GS', $106 = 'HLT', $107 = 'IBM', $108 = 'ILMN', $109 = 'INTEL', $110 = 'Iberdrola', $111 = 'MCARD', $112 = 'MCDON', $113 = 'META', $114 = 'MSFT', $115 = 'Mapfre', $116 = 'Netflix', $117 = 'PFIZER', $118 = 'QCOM', $119 = 'Santander', $120 = 'TEVA', $121 = 'Telefonica', $122 = 'Tesla', $123 = 'AUDUSD', $124 = 'EURGBP', $125 = 'EURUSD', $126 = 'GBPUSD', $127 = 'NZDUSD', $128 = 'USDCAD', $129 = 'USDCHF', $130 = 'USDJPY', $131 = 'Adidas', $132 = 'Bayer', $133 = 'Daimler', $134 = 'Danone', $135 = 'LVMH', $136 = 'Lufthansa', $137 = 'Volksw', $138 = '700', $139 = '700', $140 = 't', $141 = '10', $142 = '10'
-
WITH rar_max as ( ;
Date: 2026-03-28 06:35:52 Duration: 57ms Database: postgres parameters: $1 = 't', $2 = '538', $3 = '7', $4 = '15', $5 = '30', $6 = '60', $7 = '120', $8 = '240', $9 = '480', $10 = '1440', $11 = '0', $12 = '', $13 = '125', $14 = 'ANGLO', $15 = 'BARC', $16 = 'BAY', $17 = 'BPLON', $18 = 'HSBCL', $19 = 'LLOY', $20 = 'RIO', $21 = 'RollsRoyce', $22 = 'TESCO', $23 = 'VOD', $24 = 'AUDCAD', $25 = 'AUDCHF', $26 = 'AUDJPY', $27 = 'AUDNZD', $28 = 'AUDUSD', $29 = 'CADCHF', $30 = 'CADJPY', $31 = 'CHFJPY', $32 = 'EURAUD', $33 = 'EURCAD', $34 = 'EURCHF', $35 = 'EURDKK', $36 = 'EURGBP', $37 = 'EURHUF', $38 = 'EURJPY', $39 = 'EURNOK', $40 = 'EURNZD', $41 = 'EURPLN', $42 = 'EURUSD', $43 = 'GBPAUD', $44 = 'GBPCAD', $45 = 'GBPCHF', $46 = 'GBPJPY', $47 = 'GBPNZD', $48 = 'GBPUSD', $49 = 'GBPZAR', $50 = 'NZDCAD', $51 = 'NZDCHF', $52 = 'NZDJPY', $53 = 'NZDUSD', $54 = 'USDCAD', $55 = 'USDCHF', $56 = 'USDCNH', $57 = 'USDCZK', $58 = 'USDDKK', $59 = 'USDHKD', $60 = 'USDHUF', $61 = 'USDJPY', $62 = 'USDMXN', $63 = 'USDNOK', $64 = 'USDPLN', $65 = 'USDSEK', $66 = 'USDSGD', $67 = 'USDTRY', $68 = 'USDZAR', $69 = 'XAGEUR', $70 = 'XAGUSD', $71 = 'XAUEUR', $72 = 'XAUUSD', $73 = 'ZARJPY', $74 = 'Cocoa', $75 = 'Coffee', $76 = 'Copper', $77 = 'Palladium', $78 = 'Platinum', $79 = 'Sugar', $80 = 'UKOIL', $81 = 'USOIL', $82 = 'AUS200', $83 = 'FRA40', $84 = 'JPN225', $85 = 'NETH25', $86 = 'SPA35', $87 = 'SUI20', $88 = 'UK100', $89 = 'USA100', $90 = 'USA30', $91 = 'USDIndex', $92 = 'ALCOA', $93 = 'ALIBABA', $94 = 'AMAZON', $95 = 'AMEX', $96 = 'APPLE', $97 = 'BBVA', $98 = 'BOA', $99 = 'BOEING', $100 = 'CHEVRON', $101 = 'CISCO', $102 = 'COKE', $103 = 'EBAY', $104 = 'GE', $105 = 'GOOGLE', $106 = 'GS', $107 = 'HLT', $108 = 'IBM', $109 = 'ILMN', $110 = 'INTEL', $111 = 'Iberdrola', $112 = 'MCARD', $113 = 'MCDON', $114 = 'META', $115 = 'MSFT', $116 = 'Mapfre', $117 = 'Netflix', $118 = 'PFIZER', $119 = 'QCOM', $120 = 'Santander', $121 = 'TEVA', $122 = 'Telefonica', $123 = 'Tesla', $124 = 'AUDUSD', $125 = 'EURGBP', $126 = 'EURUSD', $127 = 'GBPUSD', $128 = 'NZDUSD', $129 = 'USDCAD', $130 = 'USDCHF', $131 = 'USDJPY', $132 = 'Adidas', $133 = 'Bayer', $134 = 'Daimler', $135 = 'Danone', $136 = 'LVMH', $137 = 'Lufthansa', $138 = 'Volksw', $139 = '0', $140 = '', $141 = '700', $142 = '700', $143 = '0', $144 = '0', $145 = '0', $146 = 't', $147 = '10', $148 = '10'
2 3s113ms 5,740 0ms 145ms 0ms SELECT ;Times Reported Time consuming bind #2
Day Hour Count Duration Avg duration 06 5,740 3s113ms 0ms -
SELECT ;
Date: 2026-03-28 06:11:00 Duration: 145ms Database: postgres parameters: $1 = '607910756950287303', $2 = '607910756950287303', $3 = '607910756950287303'
-
SELECT ;
Date: 2026-03-28 06:11:00 Duration: 81ms Database: postgres parameters: $1 = '607911701362212301', $2 = '607911701362212301', $3 = '607911701362212301'
-
SELECT ;
Date: 2026-03-28 06:30:40 Duration: 24ms Database: postgres parameters: $1 = '500991628203869200'
3 1s810ms 599 1ms 16ms 3ms SELECT symbolid, ;Times Reported Time consuming bind #3
Day Hour Count Duration Avg duration 06 599 1s810ms 3ms -
SELECT symbolid, ;
Date: 2026-03-28 06:40:46 Duration: 16ms Database: postgres parameters: $1 = 'BDSWISS', $2 = '30', $3 = 'EOSUSD'
-
SELECT symbolid, ;
Date: 2026-03-28 06:10:02 Duration: 13ms Database: postgres parameters: $1 = 'BDSWISS', $2 = '15', $3 = 'US30'
-
SELECT symbolid, ;
Date: 2026-03-28 06:36:01 Duration: 10ms Database: postgres parameters: $1 = 'MILLENNIUMPF', $2 = '15', $3 = 'GBPUSD.ID', $4 = 'NZDCAD.FX', $5 = 'GBPJPY.FX', $6 = 'NASDAQ100', $7 = 'GBPNZD.FX', $8 = 'NZDJPY', $9 = 'GBPUSD.FX', $10 = 'GBPJPY.ID', $11 = 'GBPUSD'
4 612ms 60 4ms 26ms 10ms WITH last_candle AS ( ;Times Reported Time consuming bind #4
Day Hour Count Duration Avg duration 06 60 612ms 10ms -
WITH last_candle AS ( ;
Date: 2026-03-28 06:08:09 Duration: 26ms Database: postgres parameters: $1 = '538', $2 = '538'
-
WITH last_candle AS ( ;
Date: 2026-03-28 06:48:00 Duration: 24ms Database: postgres parameters: $1 = '558', $2 = '558'
-
WITH last_candle AS ( ;
Date: 2026-03-28 06:08:01 Duration: 24ms Database: postgres parameters: $1 = '558', $2 = '558'
5 370ms 164 1ms 10ms 2ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming bind #5
Day Hour Count Duration Avg duration 06 164 370ms 2ms -
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-28 06:30:41 Duration: 10ms Database: postgres parameters: $1 = 'AXIORY'
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-28 06:00:57 Duration: 2ms Database: postgres parameters: $1 = 'BDSWISS'
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-28 06:32:23 Duration: 2ms Database: postgres parameters: $1 = 'MILLENNIUMPF'
6 269ms 5,013 0ms 13ms 0ms select 1;Times Reported Time consuming bind #6
Day Hour Count Duration Avg duration 06 5,013 269ms 0ms -
select 1;
Date: 2026-03-28 06:35:58 Duration: 13ms Database: postgres
-
select 1;
Date: 2026-03-28 06:21:52 Duration: 13ms Database: postgres
-
select 1;
Date: 2026-03-28 06:36:00 Duration: 11ms Database: postgres
7 224ms 53 0ms 22ms 4ms WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;Times Reported Time consuming bind #7
Day Hour Count Duration Avg duration 06 53 224ms 4ms -
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;
Date: 2026-03-28 06:40:51 Duration: 22ms Database: postgres parameters: $1 = '489', $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: 2026-03-28 06:21:07 Duration: 21ms 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: 2026-03-28 06:44:43 Duration: 18ms Database: postgres parameters: $1 = '667', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
8 213ms 2,462 0ms 0ms 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 #8
Day Hour Count Duration Avg duration 06 2,462 213ms 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: 2026-03-28 06:37:58 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 22:00:00', $2 = '143.175', $3 = '143.225', $4 = '142.035', $5 = '142.51', $6 = '2255', $7 = '515840249436636300', $8 = '0', $9 = '2026-03-28 06:37:58.756', $10 = '2026-03-28 06:37:58.756', $11 = '143.175', $12 = '143.225', $13 = '142.035', $14 = '142.51', $15 = '2255', $16 = '0', $17 = '2026-03-28 06:37:58.756', $18 = '2026-03-28 06:37:58.756'
-
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: 2026-03-28 06:10:43 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 20:00:00', $2 = '8432.4', $3 = '8447.4', $4 = '8426.3', $5 = '8433.4', $6 = '11065', $7 = '515840248015562300', $8 = '0', $9 = '2026-03-28 06:10:43.204', $10 = '2026-03-28 06:10:43.105', $11 = '8432.4', $12 = '8447.4', $13 = '8426.3', $14 = '8433.4', $15 = '11065', $16 = '0', $17 = '2026-03-28 06:10:43.204', $18 = '2026-03-28 06:10:43.105'
-
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: 2026-03-28 06:11:01 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 21:00:00', $2 = '45188.35', $3 = '45231.35', $4 = '45057.25', $5 = '45097.75', $6 = '16178', $7 = '515840248000890300', $8 = '0', $9 = '2026-03-28 06:11:01.425', $10 = '2026-03-28 06:11:01.31', $11 = '45188.35', $12 = '45231.35', $13 = '45057.25', $14 = '45097.75', $15 = '16178', $16 = '0', $17 = '2026-03-28 06:11:01.425', $18 = '2026-03-28 06:11:01.31'
9 190ms 2,452 0ms 2ms 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 #9
Day Hour Count Duration Avg duration 06 2,452 190ms 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: 2026-03-28 06:45:09 Duration: 2ms Database: postgres parameters: $1 = '2026-03-27 22:30:00', $2 = '110.13', $3 = '110.136', $4 = '110.051', $5 = '110.081', $6 = '3024', $7 = '515840230426879300', $8 = '0', $9 = '2026-03-28 06:45:09.466', $10 = '2026-03-28 06:45:09.362', $11 = '110.13', $12 = '110.136', $13 = '110.051', $14 = '110.081', $15 = '3024', $16 = '0', $17 = '2026-03-28 06:45:09.466', $18 = '2026-03-28 06:45:09.362'
-
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: 2026-03-28 06:51:22 Duration: 1ms Database: postgres parameters: $1 = '2026-03-27 22:30:00', $2 = '49.99', $3 = '50.37', $4 = '49.685', $5 = '49.825', $6 = '681', $7 = '515840249459230300', $8 = '0', $9 = '2026-03-28 06:51:22.099', $10 = '2026-03-28 06:51:21.995', $11 = '49.99', $12 = '50.37', $13 = '49.685', $14 = '49.825', $15 = '681', $16 = '0', $17 = '2026-03-28 06:51:22.099', $18 = '2026-03-28 06:51:21.995'
-
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: 2026-03-28 06:32:43 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 21:00:00', $2 = '8432.8', $3 = '8443.9', $4 = '8431.4', $5 = '8436.5', $6 = '5367', $7 = '515840248015340300', $8 = '0', $9 = '2026-03-28 06:32:43.393', $10 = '2026-03-28 06:32:43.308', $11 = '8432.8', $12 = '8443.9', $13 = '8431.4', $14 = '8436.5', $15 = '5367', $16 = '0', $17 = '2026-03-28 06:32:43.393', $18 = '2026-03-28 06:32:43.308'
10 184ms 5 0ms 64ms 36ms with wh_patitioned as ( ;Times Reported Time consuming bind #10
Day Hour Count Duration Avg duration 06 5 184ms 36ms -
with wh_patitioned as ( ;
Date: 2026-03-28 06:36:09 Duration: 64ms Database: postgres parameters: $1 = '667', $2 = '667', $3 = '667', $4 = '667', $5 = '667', $6 = '667', $7 = '667', $8 = '667', $9 = '667'
-
with wh_patitioned as ( ;
Date: 2026-03-28 06:14:01 Duration: 47ms 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: 2026-03-28 06:14:00 Duration: 46ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '558', $4 = '558', $5 = '558', $6 = '558', $7 = '558', $8 = '558', $9 = '558'
11 139ms 2,860 0ms 0ms 0ms INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming bind #11
Day Hour Count Duration Avg duration 06 2,860 139ms 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: 2026-03-28 06:31:38 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 23:30:00', $2 = '43075', $3 = '43110', $4 = '43064', $5 = '43085', $6 = '468', $7 = '515840233917187300', $8 = '0', $9 = '2026-03-28 06:31:38.624', $10 = '2026-03-28 06:31:38.553', $11 = '43075', $12 = '43110', $13 = '43064', $14 = '43085', $15 = '468', $16 = '0', $17 = '2026-03-28 06:31:38.624', $18 = '2026-03-28 06:31:38.553'
-
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: 2026-03-28 06:47:38 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 23:30:00', $2 = '43075', $3 = '43110', $4 = '43064', $5 = '43085', $6 = '468', $7 = '515840233917187300', $8 = '0', $9 = '2026-03-28 06:47:38.253', $10 = '2026-03-28 06:47:38.167', $11 = '43075', $12 = '43110', $13 = '43064', $14 = '43085', $15 = '468', $16 = '0', $17 = '2026-03-28 06:47:38.253', $18 = '2026-03-28 06:47:38.167'
-
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: 2026-03-28 06:33:01 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 22:15:00', $2 = '6353', $3 = '6354.7', $4 = '6345.3', $5 = '6350.8', $6 = '1363', $7 = '515840248032019300', $8 = '0', $9 = '2026-03-28 06:33:01.543', $10 = '2026-03-28 06:33:01.457', $11 = '6353', $12 = '6354.7', $13 = '6345.3', $14 = '6350.8', $15 = '1363', $16 = '0', $17 = '2026-03-28 06:33:01.543', $18 = '2026-03-28 06:33:01.457'
12 66ms 3 3ms 56ms 22ms SELECT DISTINCT ON (basegroupname, symbol) ;Times Reported Time consuming bind #12
Day Hour Count Duration Avg duration 06 3 66ms 22ms -
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-28 06:11:00 Duration: 56ms Database: postgres parameters: $1 = '627', $2 = '627'
-
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-28 06:21:02 Duration: 6ms Database: postgres parameters: $1 = '627', $2 = '627'
-
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-28 06:02:27 Duration: 3ms Database: postgres parameters: $1 = '667', $2 = '667'
13 59ms 12 0ms 18ms 4ms /*server.FibonacciResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, Exchange AS e, longname as lo, shortname as sho, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, 1 - errormargin as rq, 1 - noise as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM Fibonacci_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 fibonaccipatterns p on a.pattern = p.patternname where resultuid = $1 and dtt.dayofweek = 3;Times Reported Time consuming bind #13
Day Hour Count Duration Avg duration 06 12 59ms 4ms -
/*server.FibonacciResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, Exchange AS e, longname as lo, shortname as sho, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, 1 - errormargin as rq, 1 - noise as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM Fibonacci_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 fibonaccipatterns p on a.pattern = p.patternname where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-28 06:35:02 Duration: 18ms Database: postgres parameters: $1 = '607911643067765302'
-
/*server.FibonacciResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, Exchange AS e, longname as lo, shortname as sho, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, 1 - errormargin as rq, 1 - noise as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM Fibonacci_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 fibonaccipatterns p on a.pattern = p.patternname where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-28 06:45:53 Duration: 12ms Database: postgres parameters: $1 = '607911644114208302'
-
/*server.FibonacciResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, Exchange AS e, longname as lo, shortname as sho, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, 1 - errormargin as rq, 1 - noise as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM Fibonacci_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 fibonaccipatterns p on a.pattern = p.patternname where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-28 06:14:00 Duration: 11ms Database: postgres parameters: $1 = '607911587927912302'
14 40ms 360 0ms 0ms 0ms INSERT INTO T1440_underlying (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 06 360 40ms 0ms -
INSERT INTO T1440_underlying (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: 2026-03-28 06:17:53 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 00:00:00', $2 = '1181496.09', $3 = '1184053.195', $4 = '1123734.185', $5 = '1129345.175', $6 = '269221', $7 = '515840249474565300', $8 = '0', $9 = '2026-03-28 06:17:53.319', $10 = '2026-03-28 06:17:53.318', $11 = '1181496.09', $12 = '1184053.195', $13 = '1123734.185', $14 = '1129345.175', $15 = '269221', $16 = '0', $17 = '2026-03-28 06:17:53.319', $18 = '2026-03-28 06:17:53.318'
-
INSERT INTO T1440_underlying (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: 2026-03-28 06:18:00 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 00:00:00', $2 = '68.324', $3 = '71.6315', $4 = '67.396', $5 = '69.856', $6 = '366294', $7 = '515840249469364300', $8 = '0', $9 = '2026-03-28 06:18:00.077', $10 = '2026-03-28 06:18:00.075', $11 = '68.324', $12 = '71.6315', $13 = '67.396', $14 = '69.856', $15 = '366294', $16 = '0', $17 = '2026-03-28 06:18:00.077', $18 = '2026-03-28 06:18:00.075'
-
INSERT INTO T1440_underlying (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: 2026-03-28 06:32:00 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 00:00:00', $2 = '4390.67', $3 = '4555.31', $4 = '4375.6', $5 = '4493.925', $6 = '644697', $7 = '515840249391588300', $8 = '0', $9 = '2026-03-28 06:32:00.859', $10 = '2026-03-28 06:32:00.859', $11 = '4390.67', $12 = '4555.31', $13 = '4375.6', $14 = '4493.925', $15 = '644697', $16 = '0', $17 = '2026-03-28 06:32:00.859', $18 = '2026-03-28 06:32:00.859'
15 32ms 360 0ms 0ms 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 #15
Day Hour Count Duration Avg duration 06 360 32ms 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: 2026-03-28 06:32:58 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 20:00:00', $2 = '70.3765', $3 = '70.578', $4 = '69.43', $5 = '69.856', $6 = '65764', $7 = '515840249469200300', $8 = '0', $9 = '2026-03-28 06:32:58.955', $10 = '2026-03-28 06:32:58.72', $11 = '70.3765', $12 = '70.578', $13 = '69.43', $14 = '69.856', $15 = '65764', $16 = '0', $17 = '2026-03-28 06:32:58.955', $18 = '2026-03-28 06:32:58.72'
-
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: 2026-03-28 06:16:00 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 20:00:00', $2 = '70.3765', $3 = '70.578', $4 = '69.43', $5 = '69.856', $6 = '65764', $7 = '515840249469200300', $8 = '0', $9 = '2026-03-28 06:16:00.146', $10 = '2026-03-28 06:16:00.075', $11 = '70.3765', $12 = '70.578', $13 = '69.43', $14 = '69.856', $15 = '65764', $16 = '0', $17 = '2026-03-28 06:16:00.146', $18 = '2026-03-28 06:16:00.075'
-
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: 2026-03-28 06:00:55 Duration: 0ms Database: postgres parameters: $1 = '2026-03-27 20:00:00', $2 = '1.151925', $3 = '1.152925', $4 = '1.150635', $5 = '1.15086', $6 = '14119', $7 = '515840249373009300', $8 = '0', $9 = '2026-03-28 06:00:55.359', $10 = '2026-03-28 06:00:55.29', $11 = '1.151925', $12 = '1.152925', $13 = '1.150635', $14 = '1.15086', $15 = '14119', $16 = '0', $17 = '2026-03-28 06:00:55.359', $18 = '2026-03-28 06:00:55.29'
16 30ms 53 0ms 4ms 0ms /*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz 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 where resultuid = $1;Times Reported Time consuming bind #16
Day Hour Count Duration Avg duration 06 53 30ms 0ms -
/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz 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 where resultuid = $1;
Date: 2026-03-28 06:21:11 Duration: 4ms Database: postgres parameters: $1 = '607911882428652301'
-
/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz 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 where resultuid = $1;
Date: 2026-03-28 06:07:44 Duration: 4ms Database: postgres parameters: $1 = '607910524712551301'
-
/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz 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 where resultuid = $1;
Date: 2026-03-28 06:06:47 Duration: 4ms Database: postgres parameters: $1 = '607910525855956301'
17 24ms 1 24ms 24ms 24ms SELECT * FROM broker_stats_groups_view WHERE brokerid = 632 LIMIT $1;Times Reported Time consuming bind #17
Day Hour Count Duration Avg duration 06 1 24ms 24ms -
SELECT * FROM broker_stats_groups_view WHERE brokerid = 632 LIMIT $1;
Date: 2026-03-28 06:55:15 Duration: 24ms Database: postgres parameters: $1 = '50'
18 23ms 1 23ms 23ms 23ms SELECT * FROM broker_stats_groups_view WHERE brokerid = 538 LIMIT $1;Times Reported Time consuming bind #18
Day Hour Count Duration Avg duration 06 1 23ms 23ms -
SELECT * FROM broker_stats_groups_view WHERE brokerid = 538 LIMIT $1;
Date: 2026-03-28 06:55:15 Duration: 23ms Database: postgres parameters: $1 = '50'
19 23ms 14 0ms 21ms 1ms select * from PowerStatsLatestPRFPrice ($1, $2);Times Reported Time consuming bind #19
Day Hour Count Duration Avg duration 06 14 23ms 1ms -
select * from PowerStatsLatestPRFPrice ($1, $2);
Date: 2026-03-28 06:21:44 Duration: 21ms Database: postgres parameters: $1 = '515840233495930300', $2 = '15'
-
select * from PowerStatsLatestPRFPrice ($1, $2);
Date: 2026-03-28 06:06:44 Duration: 0ms Database: postgres parameters: $1 = '515840233495930300', $2 = '15'
-
select * from PowerStatsLatestPRFPrice ($1, $2);
Date: 2026-03-28 06:22:34 Duration: 0ms Database: postgres parameters: $1 = '515840243273647300', $2 = '15'
20 18ms 10 0ms 4ms 1ms /*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, 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 '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb 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 where resultuid = $1 and dtt.dayofweek = 3;Times Reported Time consuming bind #20
Day Hour Count Duration Avg duration 06 10 18ms 1ms -
/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, 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 '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb 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 where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-28 06:14:45 Duration: 4ms Database: postgres parameters: $1 = '607910762321317303'
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/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, 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 '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb 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 where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-28 06:57:53 Duration: 3ms Database: postgres parameters: $1 = '607909113862659303'
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/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, 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 '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb 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 where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-28 06:32:38 Duration: 2ms Database: postgres parameters: $1 = '607910760963840303'
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Events
Log levels
Key values
- 176,898 Log entries
Events distribution
Key values
- 0 PANIC entries
- 0 FATAL entries
- 741 ERROR entries
- 0 WARNING entries
Most Frequent Errors/Events
Key values
- 426 Max number of times the same event was reported
- 741 Total events found
Rank Times reported Error 1 426 ERROR: integer out of range
Times Reported Most Frequent Error / Event #1
Day Hour Count Mar 28 06 426 - ERROR: integer out of range
Statement: select stats_createSummaryTables_ChartPattens(cast(500996399105328207 as int));
Date: 2026-03-28 06:40:09
2 237 ERROR: canceling statement due to statement timeout
Times Reported Most Frequent Error / Event #2
Day Hour Count Mar 28 06 237 - ERROR: canceling statement due to statement timeout
Statement: /* service='datadog-agent' */ select count(*) from (select *, row_number() over (partition by whid order by id desc) r from whatshot_probability where "type" = 'cp' union select *, row_number() over (partition by whid order by id desc) r from whatshot_probability where "type" = 'ekl' union select *, row_number() over (partition by whid order by id desc) r from whatshot_probability where type = 'kl') as k where r > 3;
Date: 2026-03-28 06:00:14
3 32 ERROR: syntax error at or near "..."
Times Reported Most Frequent Error / Event #3
Day Hour Count Mar 28 06 32 - ERROR: syntax error at or near "group" at character 55
- ERROR: syntax error at or near "group" at character 61
Statement: SELECT * FROM broker_stats_timezone_offset_view WHERE group" = 'Commodities' LIMIT $1
Date: 2026-03-28 06:55:15
Statement: SELECT * FROM broker_stats_timezone_offset_count_view WHERE group" = 'Commodities' LIMIT $1
Date: 2026-03-28 06:55:16
4 32 ERROR: function broker_stats_get_symbols_function(...) does not exist
Times Reported Most Frequent Error / Event #4
Day Hour Count Mar 28 06 32 - ERROR: function broker_stats_get_symbols_function(bigint, integer) does not exist at character 15
Hint: No function matches the given name and argument types. You might need to add explicit type casts.
Statement: SELECT * FROM broker_stats_get_symbols_function(601729875359289307,632) WHERE lower(category) = 'symbol' ORDER BY correct DESC LIMIT $1Date: 2026-03-28 06:55:15
5 9 LOG: process ... still waiting for AccessShareLock on relation ... of database ... after ... ms
Times Reported Most Frequent Error / Event #5
Day Hour Count Mar 28 06 9 - LOG: process 29944 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.052 ms at character 28
- LOG: process 29750 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.065 ms at character 28
- LOG: process 29668 still waiting for AccessShareLock on relation 5894441 of database 5881926 after 1000.058 ms at character 28
Detail: Process holding the lock: 24049. Wait queue: 30735, 29944.
Statement: SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'Alpari - 1'Date: 2026-03-28 06:17:02
Detail: Process holding the lock: 24049. Wait queue: 30735, 29944, 29750, 29668.
Statement: SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'AXIORY - 1'Date: 2026-03-28 06:17:04
Detail: Process holding the lock: 24049. Wait queue: 30735, 29944, 29750, 29668, 29576.
Statement: SELECT datetimeupdate FROM latest_candle_datetime_per_receng WHERE recognitionengine ILIKE 'ATFX - 1'Date: 2026-03-28 06:17:04
6 4 ERROR: relation "..." does not exist
Times Reported Most Frequent Error / Event #6
Day Hour Count Mar 28 06 4 - ERROR: relation "stats_by_groups" does not exist at character 32
- ERROR: relation "stats_symbols_by_groups" does not exist at character 60
Statement: select distinct s.statsid from stats_by_groups s inner join stats_symbols_by_groups ss on s.statsid = ss.statsid inner join downloadersymbolsettings dss on ss.symbolid = dss.symbolid inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid where dss.enabled = 1 and (0 = 0 or s.brokerid = 0) order by s.statsid
Date: 2026-03-28 06:41:50
Statement: select distinct ss.statsid from stats_success t inner join stats_symbols_by_groups ss on t.symbolid = ss.symbolid where statsid in (select statsid from stats_by_groups where (0 = 0 or brokerid = 0) ) and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' and (0 = 0 OR statsid >= 0) order by ss.statsid;
Date: 2026-03-28 06:41:50
7 1 LOG: process ... still waiting for AccessExclusiveLock on relation ... of database ... after ... ms
Times Reported Most Frequent Error / Event #7
Day Hour Count Mar 28 06 1 - LOG: process 30735 still waiting for AccessExclusiveLock on relation 5894441 of database 5881926 after 1000.053 ms
Detail: Process holding the lock: 24049. Wait queue: 30735, 29944.
Statement: refresh materialized view latest_candle_datetime_per_recengDate: 2026-03-28 06:17:02