pgBadger-
Global information
- Generated on Sun Mar 22 10:59:17 2026
- Log file: /home/postgres/pg_data/data/pg_log/postgresql-2026-03-22_120000.log
- Parsed 444,660 log entries in 16s
- Log start from 2026-03-22 12:00:00 to 2026-03-22 12:59:14
-
Overview
Global Stats
- 185 Number of unique normalized queries
- 74,766 Number of queries
- 1h7m22s Total query duration
- 2026-03-22 12:00:00 First query
- 2026-03-22 12:59:14 Last query
- 954 queries/s at 2026-03-22 12:00:04 Query peak
- 1h7m22s Total query duration
- 2s572ms Prepare/parse total duration
- 15s829ms Bind total duration
- 1h7m3s Execute total duration
- 389 Number of events
- 3 Number of unique normalized events
- 237 Max number of times the same event was reported
- 0 Number of cancellation
- 30 Total number of automatic vacuums
- 44 Total number of automatic analyzes
- 1,370 Number temporary file
- 596.29 MiB Max size of temporary file
- 95.16 MiB Average size of temporary file
- 1,786 Total number of sessions
- 13 sessions at 2026-03-22 12:58:48 Session peak
- 16h50m36s Total duration of sessions
- 33s951ms Average duration of sessions
- 41 Average queries per session
- 2s263ms Average queries duration per session
- 31s688ms Average idle time per session
- 1,787 Total number of connections
- 27 connections/s at 2026-03-22 12:13:50 Connection peak
- 3 Total number of databases
SQL Traffic
Key values
- 954 queries/s Query Peak
- 2026-03-22 12:00:04 Date
SELECT Traffic
Key values
- 476 queries/s Query Peak
- 2026-03-22 12:00:04 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 90 queries/s Query Peak
- 2026-03-22 12:06:49 Date
Queries duration
Key values
- 1h7m22s 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 22 12 74,766 0ms 20s930ms 53ms 2m19s 2m29s 3m8s Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Mar 22 12 19,834 26 0ms 0ms 0ms 0ms Day Hour INSERT UPDATE DELETE COPY FROM Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Mar 22 12 11,445 483 16 96 0ms 0ms 0ms 0ms Day Hour Prepare Bind Bind/Prepare Percentage of prepare Mar 22 12 9,270 20,180 2.18 26.54% Day Hour Count Average / Second Mar 22 12 1,787 0.50/s Day Hour Count Average Duration Average idle time Mar 22 12 1,786 33s951ms 31s698ms -
Connections
Established Connections
Key values
- 27 connections Connection Peak
- 2026-03-22 12:13:50 Date
Connections per database
Key values
- acaweb_fx Main Database
- 1,787 connections Total
Connections per user
Key values
- postgres Main User
- 1,787 connections Total
Connections per host
Key values
- 192.168.4.142 Main host with 722 connections
- 1,787 Total connections
-
Sessions
Simultaneous sessions
Key values
- 13 sessions Session Peak
- 2026-03-22 12:58:48 Date
Histogram of session times
Key values
- 1,436 0-500ms duration
Sessions per database
Key values
- acaweb_fx Main Database
- 1,786 sessions Total
Sessions per user
Key values
- postgres Main User
- 1,786 sessions Total
Sessions per host
Key values
- 192.168.4.142 Main Host
- 1,786 sessions Total
Host Count Total Duration Average Duration 127.0.0.1 104 2s933ms 28ms 192.168.0.114 4 44m8s 11m2s 192.168.0.216 116 6m25s 3s320ms 192.168.0.74 8 2h36m55s 19m36s 192.168.1.145 2 163ms 81ms 192.168.1.15 25 3h15m16s 7m48s 192.168.1.20 22 9h51m48s 26m54s 192.168.1.239 54 244ms 4ms 192.168.1.90 42 789ms 18ms 192.168.2.126 18 5s341ms 296ms 192.168.3.199 39 32s64ms 822ms 192.168.4.142 722 7m54s 657ms 192.168.4.33 63 2m59s 2s853ms 192.168.4.98 330 14s60ms 42ms [local] 237 4m12s 1s64ms -
Checkpoints / Restartpoints
Checkpoints Buffers
Key values
- 1,937 buffers Checkpoint Peak
- 2026-03-22 12:04:46 Date
- 208.511 seconds Highest write time
- 3.346 seconds Sync time
Checkpoints Wal files
Key values
- 2 files Wal files usage Peak
- 2026-03-22 12:39:07 Date
Checkpoints distance
Key values
- 56.07 Mo Distance Peak
- 2026-03-22 12:09:21 Date
Checkpoints Activity
↑ Back to the top of the Checkpoint Activity tableDay Hour Written buffers Write time Sync time Total time Mar 22 12 14,627 1,565.502s 6.09s 1,583.039s Day Hour Added Removed Recycled Synced files Longest sync Average sync Mar 22 12 0 0 11 1,364 1.833s 0.086s Day Hour Count Avg time (sec) Mar 22 12 0 0s Day Hour Mean distance Mean estimate Mar 22 12 14,773.75 kB 24,375.75 kB -
Temporary Files
Size of temporary files
Key values
- 596.29 MiB Temp Files size Peak
- 2026-03-22 12:04:29 Date
Number of temporary files
Key values
- 30 per second Temp Files Peak
- 2026-03-22 12:32:07 Date
Temporary Files Activity
↑ Back to the top of the Temporary Files Activity tableDay Hour Count Total size Average size Mar 22 12 1,370 127.31 GiB 95.16 MiB Queries generating the most temporary files (N)
Rank Count Total size Min size Max size Avg size Query 1 237 124.34 GiB 300.48 MiB 596.29 MiB 537.22 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: 2026-03-22 12:00:14 Duration: 0ms
2 48 87.13 MiB 280.66 KiB 3.36 MiB 1.82 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)) AND ($227 = 0 OR ar.pattern in ($228)) AND ($229 = 0 OR ($230 = 1 AND ar.breakout >= 0) OR ($231 = 2 AND ar.breakout < 0)) AND ($232 = 0 OR ar.patternlengthbars <= $233) 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 = $234 OR relevant = 1) AND ($235 = 0 OR age <= $236) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-03-22 12:00:50 Duration: 0ms
3 24 72.06 MiB 3.00 MiB 3.00 MiB 3.00 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: 2026-03-22 12:02:14 Duration: 0ms
4 24 110.43 MiB 4.60 MiB 4.61 MiB 4.60 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)) AND ($227 = 0 OR fr.pattern in ($228)) AND ($229 = 0 OR fr.patternlengthbars <= $230) AND ($231 = 0 OR ($232 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($233 = 2 AND fr.timed < cast('1970-01-01' as timestamp)))), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $234 OR relevant = 1) AND ($235 = 0 OR age <= $236) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-03-22 12:01:01 Duration: 0ms
5 16 623.75 MiB 38.98 MiB 38.98 MiB 38.98 MiB update solr_relevance_old set new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total from ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total from whatshot_probability where type = ?) sub where result_uid = sub.resultuid;-
UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type = 'cp') sub WHERE result_uid = sub.resultuid;
Date: 2026-03-22 12:01:16 Duration: 0ms
6 16 1.23 GiB 78.61 MiB 78.61 MiB 78.61 MiB with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then ? else ? end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then ? else ? end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike ? inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike ?) sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike ?; update solr_relevance_old set newrelevant = ? where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike ? and a.resultuid is null); update solr_relevance_old set new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total from ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total from whatshot_probability where type in (...)) sub where result_uid = sub.resultuid;-
with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid;
Date: 2026-03-22 12:01:20 Duration: 0ms
7 4 572.01 MiB 143.00 MiB 143.00 MiB 143.00 MiB select updateresultsmaterializedview ();-
select updateresultsmaterializedview ();
Date: 2026-03-22 12:02:15 Duration: 0ms
8 4 318.16 MiB 79.54 MiB 79.54 MiB 79.54 MiB select updateageforrelevantresults ();-
select updateageforrelevantresults ();
Date: 2026-03-22 12:02:04 Duration: 0ms
9 1 1.39 MiB 1.39 MiB 1.39 MiB 1.39 MiB refresh materialized view price_datafeed_spike_threshold;-
refresh materialized view price_datafeed_spike_threshold;
Date: 2026-03-22 12:00:01 Duration: 0ms
Queries generating the largest temporary files
Rank Size Query 1 596.29 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: 2026-03-22 12:04:29 ]
2 590.29 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: 2026-03-22 12:19:00 ]
3 587.29 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: 2026-03-22 12:43:13 ]
4 587.29 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: 2026-03-22 12:59:14 ]
5 584.30 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: 2026-03-22 12:10:01 ]
6 584.30 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: 2026-03-22 12:21:14 ]
7 584.30 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: 2026-03-22 12:39:15 ]
8 581.30 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: 2026-03-22 12:12:14 ]
9 581.30 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: 2026-03-22 12:40:00 ]
10 581.30 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: 2026-03-22 12:43:01 ]
11 581.30 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: 2026-03-22 12:52:43 ]
12 581.30 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: 2026-03-22 12:53:28 ]
13 578.31 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: 2026-03-22 12:20:28 ]
14 575.32 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: 2026-03-22 12:35:28 ]
15 575.32 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: 2026-03-22 12:52:58 ]
16 575.32 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: 2026-03-22 12:57:59 ]
17 572.33 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: 2026-03-22 12:01:29 ]
18 572.33 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: 2026-03-22 12:23:59 ]
19 572.33 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: 2026-03-22 12:38:00 ]
20 572.33 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: 2026-03-22 12:45:28 ]
-
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
- public.solr_relevance_old (16) Main table analyzed (database acaweb_fx)
- 44 analyzes Total
Table Number of analyzes acaweb_fx.public.solr_relevance_old 16 acaweb_fx.pg_catalog.pg_attribute 8 acaweb_fx.pg_catalog.pg_type 4 acaweb_fx.pg_catalog.pg_class 4 acaweb_fx.public.datafeeds_latestrun 3 acaweb_fx.pg_catalog.pg_depend 2 acaweb_fx.public.latest_t15_candle_view 2 acaweb_fx.pg_catalog.pg_index 1 acaweb_fx.public.price_datafeed_spike_threshold 1 acaweb_fx.public.latest_candle_datetime_per_receng 1 acaweb_fx.public.relevance_autochartist_results 1 acaweb_fx.public.relevance_fibonacci_results 1 Total 44 Vacuums per table
Key values
- public.solr_relevance_old (16) Main table vacuumed on database acaweb_fx
- 30 vacuums Total
Index Buffer usage Skipped WAL usage Table Vacuums scans hits misses dirtied pins frozen records full page bytes acaweb_fx.public.solr_relevance_old 16 16 11,643 0 314 0 0 7,330 245 2,210,669 acaweb_fx.public.datafeeds_latestrun 3 0 363 0 5 0 0 37 6 38,758 acaweb_fx.pg_catalog.pg_attribute 3 3 2,826 0 387 0 201 1,060 380 2,234,246 acaweb_fx.pg_catalog.pg_type 2 2 367 0 24 0 0 163 23 126,345 acaweb_fx.pg_catalog.pg_class 2 2 908 0 82 0 0 291 78 446,912 acaweb_fx.pg_toast.pg_toast_2619 1 1 134 0 31 0 0 101 29 108,368 acaweb_fx.public.solr_imports 1 1 65 0 2 0 0 6 4 14,469 acaweb_fx.pg_catalog.pg_depend 1 1 423 0 95 0 59 186 79 391,431 acaweb_fx.public.relevance_fibonacci_results 1 1 1,089 0 42 0 57 120 28 150,360 Total 30 27 17,818 3,069 982 0 317 9,294 872 5,721,558 Tuples removed per table
Key values
- public.solr_relevance_old (18381) Main table with removed tuples on database acaweb_fx
- 25570 tuples Total removed
Index Tuples Pages Table Vacuums scans removed remain not yet removable removed remain acaweb_fx.public.solr_relevance_old 16 16 18,381 87,549 0 0 2,806 acaweb_fx.pg_catalog.pg_attribute 3 3 4,788 32,252 0 20 782 acaweb_fx.pg_catalog.pg_depend 1 1 998 14,393 0 0 144 acaweb_fx.pg_catalog.pg_type 2 2 765 2,910 0 0 90 acaweb_fx.pg_catalog.pg_class 2 2 242 3,312 0 0 300 acaweb_fx.public.datafeeds_latestrun 3 0 166 42 0 0 48 acaweb_fx.public.relevance_fibonacci_results 1 1 106 1,198 0 0 102 acaweb_fx.pg_toast.pg_toast_2619 1 1 73 164 1 0 51 acaweb_fx.public.solr_imports 1 1 51 1 0 0 2 Total 30 27 25,570 141,821 1 20 4,325 Pages removed per table
Key values
- pg_catalog.pg_attribute (20) Main table with removed pages on database acaweb_fx
- 20 pages Total removed
Table Number of vacuums Index scans Tuples removed Pages removed acaweb_fx.pg_catalog.pg_attribute 3 3 4788 20 acaweb_fx.pg_toast.pg_toast_2619 1 1 73 0 acaweb_fx.pg_catalog.pg_type 2 2 765 0 acaweb_fx.public.datafeeds_latestrun 3 0 166 0 acaweb_fx.public.solr_imports 1 1 51 0 acaweb_fx.pg_catalog.pg_depend 1 1 998 0 acaweb_fx.pg_catalog.pg_class 2 2 242 0 acaweb_fx.public.solr_relevance_old 16 16 18381 0 acaweb_fx.public.relevance_fibonacci_results 1 1 106 0 Total 30 27 25,570 20 Autovacuum Activity
↑ Back to the top of the Autovacuum Activity tableDay Hour VACUUMs ANALYZEs Mar 22 12 30 44 - 0 sec Highest CPU-cost vacuum
-
Locks
Locks by types
Key values
- unknown Main Lock Type
- 0 locks Total
Most frequent waiting queries (N)
Rank Count Total time Min time Max time Avg duration Query NO DATASET
Queries that waited the most
Rank Wait time Query NO DATASET
-
Queries
Queries by type
Key values
- 19,834 Total read queries
- 15,091 Total write queries
Queries by database
Key values
- unknown Main database
- 73,819 Requests
- 1h7m3s (unknown)
- Main time consuming database
Database Request type Count Duration acaweb_fx Total 884 0ms copy from 80 0ms copy to 26 0ms cte 100 0ms ddl 16 0ms delete 16 0ms others 214 0ms select 64 0ms tcl 334 0ms update 34 0ms socialmedia Total 63 0ms select 63 0ms unknown Total 73,819 1h7m3s copy from 16 0ms cte 1,717 0ms insert 11,445 0ms others 2,362 0ms select 19,707 0ms tcl 858 0ms update 449 0ms Queries by user
Key values
- unknown Main user
- 73,819 Requests
User Request type Count Duration postgres Total 947 0ms copy from 80 0ms copy to 26 0ms cte 100 0ms ddl 16 0ms delete 16 0ms others 214 0ms select 127 0ms tcl 334 0ms update 34 0ms unknown Total 73,819 1h7m3s copy from 16 0ms cte 1,717 0ms insert 11,445 0ms others 2,362 0ms select 19,707 0ms tcl 858 0ms update 449 0ms Duration by user
Key values
- 1h7m3s (unknown) Main time consuming user
User Request type Count Duration postgres Total 947 0ms copy from 80 0ms copy to 26 0ms cte 100 0ms ddl 16 0ms delete 16 0ms others 214 0ms select 127 0ms tcl 334 0ms update 34 0ms unknown Total 73,819 1h7m3s copy from 16 0ms cte 1,717 0ms insert 11,445 0ms others 2,362 0ms select 19,707 0ms tcl 858 0ms update 449 0ms Queries by host
Key values
- unknown Main host
- 74,766 Requests
- 1h7m3s (unknown)
- Main time consuming host
Queries by application
Key values
- unknown Main application
- 74,425 Requests
- 1h7m3s (unknown)
- Main time consuming application
Number of cancelled queries
Key values
- 1 per second Cancelled query Peak
- 2026-03-22 12:35:43 Date
Number of cancelled queries (5 minutes period)
NO DATASET
-
Top Queries
Histogram of query times
Key values
- 25,956 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 7 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 #1
Day Hour Count Duration Avg duration Mar 22 12 7 0ms 0ms 2 0ms 128 0ms 0ms 0ms with rar_max as ( 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;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Mar 22 12 128 0ms 0ms 3 0ms 2,422 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 #3
Day Hour Count Duration Avg duration Mar 22 12 2,422 0ms 0ms 4 0ms 10 0ms 0ms 0ms select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as resultuid, s.symbol, timegranularity as interval, direction as direction, patternendtime as patternendtime, patternstartprice as psp, patternendprice as pep, target03 as t03, target16 as t16, patternlengthbars as length, p.patternname as patternname, dtt.timezone, cps.pip 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 left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Mar 22 12 10 0ms 0ms 5 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 #5
Day Hour Count Duration Avg duration Mar 22 12 237 0ms 0ms 6 0ms 61 0ms 0ms 0ms update patternresultsrelevance set relevant = ?, saxo_relevant = ?, notrelevantpricedatetime = ?, reason = ? where uniqueindex = ? and relevant = ?;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Mar 22 12 61 0ms 0ms 7 0ms 5 0ms 0ms 0ms insert into resultmedia (processresultsid, type, name, filename) values (?, ?, ?, ?) returning id;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Mar 22 12 5 0ms 0ms 8 0ms 18 0ms 0ms 0ms select cast(count(*) / cast(setting as numeric) * ? as int) from pg_stat_activity, pg_settings where name = ? group by setting;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Mar 22 12 18 0ms 0ms 9 0ms 237 0ms 0ms 0ms select v.datname, c.relname, v.phase, v.heap_blks_total, v.heap_blks_scanned, v.heap_blks_vacuumed, v.index_vacuum_count, v.max_dead_tuples, v.num_dead_tuples from pg_stat_progress_vacuum as v join pg_class c on c.oid = v.relid;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 22 12 237 0ms 0ms 10 0ms 62 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 t240 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 #10
Day Hour Count Duration Avg duration Mar 22 12 62 0ms 0ms 11 0ms 20 0ms 0ms 0ms select * from ( select pricedatetime, open, high, low, close, volume, bsf from t60 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 22 12 20 0ms 0ms 12 0ms 444 0ms 0ms 0ms commit;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Mar 22 12 444 0ms 0ms 13 0ms 152 0ms 0ms 0ms with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end ), all_results as ( select kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join autochartist_symbolupdates au on dss.symbolid = au.symbolid left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where kr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) and kr.patternstarttime::timestamp without time zone >= coalesce(au.earliestpricedatetime, ?::timestamp without time zone) -- to make sure patternstarttime is in our t-tables ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc limit ?;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 22 12 152 0ms 0ms 14 0ms 3 0ms 0ms 0ms select psd.symbolid, psd.hourlysymbolid as intervalsymbolid, s.symbol, dtt.timezone, dtt.absolutetimezoneoffset, psh.hour as index, psh.ave, psh.stddev, ((psh.ave - psh.stddev) / ?.?) as low, ((psh.ave + psh.stddev) / ?.?) as high, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend from powerstats_symboldata psd inner join powerstats_hourly psh on psd.hourlysymbolid = psh.symbolid inner join symbols s on psh.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join mat_ps_hourly_symbolid_max_enddate e on psh.enddate = e.enddate and psh.symbolid = e.symbolid inner join exchanges ee on ee.exchange = s.exchange where psd.symbolid = ? and dtt.dayofweek = ? order by hour asc;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 22 12 3 0ms 0ms 15 0ms 1 0ms 0ms 0ms select (cast(substring(tz.gmoffset from ? for ?) as float) * ? + cast(substring(tz.gmoffset from ? for ?) as float)) / ? as offset from timezones tz where tz.timezone = ?;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 22 12 1 0ms 0ms 16 0ms 237 0ms 0ms 0ms select count(*), sum(size), extract(epoch from now() - min(modification)) from pg_ls_waldir ();Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Mar 22 12 237 0ms 0ms 17 0ms 10 0ms 0ms 0ms select * from ( select pricedatetime, open, high, low, close, volume, bsf from t30 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 22 12 10 0ms 0ms 18 0ms 6 0ms 0ms 0ms select pid, datname, client_addr from pg_stat_activity where query ilike ? and pid <> pg_backend_pid() and state = ? and datname = ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 22 12 6 0ms 0ms 19 0ms 2 0ms 0ms 0ms update executions set isrunning = false, has_results = false, response = ? where id = ?;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 22 12 2 0ms 0ms 20 0ms 237 0ms 0ms 0ms select system_identifier from pg_control_system ();Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 22 12 237 0ms 0ms Most frequent queries (N)
Rank Times executed Total duration Min duration Max duration Avg duration Query 1 3,551 0ms 0ms 0ms 0ms select ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 22 12 3,551 0ms 0ms 2 2,879 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 22 12 2,879 0ms 0ms 3 2,453 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 #3
Day Hour Count Duration Avg duration Mar 22 12 2,453 0ms 0ms 4 2,427 0ms 0ms 0ms 0ms insert into executionlogs (executionid, status, message, details, detailtype) values (null, ?, ?, null, null);Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Mar 22 12 2,427 0ms 0ms 5 2,422 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 #5
Day Hour Count Duration Avg duration Mar 22 12 2,422 0ms 0ms 6 1,854 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 #6
Day Hour Count Duration Avg duration Mar 22 12 1,854 0ms 0ms 7 1,767 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 22 12 1,767 0ms 0ms 8 969 0ms 0ms 0ms 0ms select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Mar 22 12 969 0ms 0ms 9 828 0ms 0ms 0ms 0ms set extra_float_digits = ?;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 22 12 828 0ms 0ms 10 816 0ms 0ms 0ms 0ms set application_name = ?;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Mar 22 12 816 0ms 0ms 11 596 0ms 0ms 0ms 0ms begin;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 22 12 596 0ms 0ms 12 484 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 #12
Day Hour Count Duration Avg duration Mar 22 12 484 0ms 0ms 13 475 0ms 0ms 0ms 0ms set statement_timeout = ?;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 22 12 475 0ms 0ms 14 444 0ms 0ms 0ms 0ms commit;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 22 12 444 0ms 0ms 15 441 0ms 0ms 0ms 0ms insert into t240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 22 12 441 0ms 0ms 16 332 0ms 0ms 0ms 0ms update datafeeds_latestrun set latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime from ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike ?) as subquery where datafeeds_latestrun.feedname ilike ?;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Mar 22 12 332 0ms 0ms 17 284 0ms 0ms 0ms 0ms insert into t1440_underlying (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 #17
Day Hour Count Duration Avg duration Mar 22 12 284 0ms 0ms 18 266 0ms 0ms 0ms 0ms select pg_advisory_unlock_all(); close "..." unlisten *; reset all;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 22 12 266 0ms 0ms 19 237 0ms 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 #19
Day Hour Count Duration Avg duration Mar 22 12 237 0ms 0ms 20 237 0ms 0ms 0ms 0ms select v.datname, c.relname, v.phase, v.heap_blks_total, v.heap_blks_scanned, v.heap_blks_vacuumed, v.index_vacuum_count, v.max_dead_tuples, v.num_dead_tuples from pg_stat_progress_vacuum as v join pg_class c on c.oid = v.relid;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 22 12 237 0ms 0ms Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 0ms 0ms 0ms 7 0ms select key, value from datasources ds inner join datasourceparams dsp on ds.id = dsp.datasourceid where ds.name = ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 22 12 7 0ms 0ms 2 0ms 0ms 0ms 128 0ms with rar_max as ( 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;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Mar 22 12 128 0ms 0ms 3 0ms 0ms 0ms 2,422 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 #3
Day Hour Count Duration Avg duration Mar 22 12 2,422 0ms 0ms 4 0ms 0ms 0ms 10 0ms select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as resultuid, s.symbol, timegranularity as interval, direction as direction, patternendtime as patternendtime, patternstartprice as psp, patternendprice as pep, target03 as t03, target16 as t16, patternlengthbars as length, p.patternname as patternname, dtt.timezone, cps.pip 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 left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Mar 22 12 10 0ms 0ms 5 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 #5
Day Hour Count Duration Avg duration Mar 22 12 237 0ms 0ms 6 0ms 0ms 0ms 61 0ms update patternresultsrelevance set relevant = ?, saxo_relevant = ?, notrelevantpricedatetime = ?, reason = ? where uniqueindex = ? and relevant = ?;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Mar 22 12 61 0ms 0ms 7 0ms 0ms 0ms 5 0ms insert into resultmedia (processresultsid, type, name, filename) values (?, ?, ?, ?) returning id;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Mar 22 12 5 0ms 0ms 8 0ms 0ms 0ms 18 0ms select cast(count(*) / cast(setting as numeric) * ? as int) from pg_stat_activity, pg_settings where name = ? group by setting;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Mar 22 12 18 0ms 0ms 9 0ms 0ms 0ms 237 0ms select v.datname, c.relname, v.phase, v.heap_blks_total, v.heap_blks_scanned, v.heap_blks_vacuumed, v.index_vacuum_count, v.max_dead_tuples, v.num_dead_tuples from pg_stat_progress_vacuum as v join pg_class c on c.oid = v.relid;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 22 12 237 0ms 0ms 10 0ms 0ms 0ms 62 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 t240 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 #10
Day Hour Count Duration Avg duration Mar 22 12 62 0ms 0ms 11 0ms 0ms 0ms 20 0ms select * from ( select pricedatetime, open, high, low, close, volume, bsf from t60 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 22 12 20 0ms 0ms 12 0ms 0ms 0ms 444 0ms commit;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Mar 22 12 444 0ms 0ms 13 0ms 0ms 0ms 152 0ms with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end ), all_results as ( select kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join autochartist_symbolupdates au on dss.symbolid = au.symbolid left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where kr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) and kr.patternstarttime::timestamp without time zone >= coalesce(au.earliestpricedatetime, ?::timestamp without time zone) -- to make sure patternstarttime is in our t-tables ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc limit ?;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 22 12 152 0ms 0ms 14 0ms 0ms 0ms 3 0ms select psd.symbolid, psd.hourlysymbolid as intervalsymbolid, s.symbol, dtt.timezone, dtt.absolutetimezoneoffset, psh.hour as index, psh.ave, psh.stddev, ((psh.ave - psh.stddev) / ?.?) as low, ((psh.ave + psh.stddev) / ?.?) as high, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend from powerstats_symboldata psd inner join powerstats_hourly psh on psd.hourlysymbolid = psh.symbolid inner join symbols s on psh.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join mat_ps_hourly_symbolid_max_enddate e on psh.enddate = e.enddate and psh.symbolid = e.symbolid inner join exchanges ee on ee.exchange = s.exchange where psd.symbolid = ? and dtt.dayofweek = ? order by hour asc;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 22 12 3 0ms 0ms 15 0ms 0ms 0ms 1 0ms select (cast(substring(tz.gmoffset from ? for ?) as float) * ? + cast(substring(tz.gmoffset from ? for ?) as float)) / ? as offset from timezones tz where tz.timezone = ?;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 22 12 1 0ms 0ms 16 0ms 0ms 0ms 237 0ms select count(*), sum(size), extract(epoch from now() - min(modification)) from pg_ls_waldir ();Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Mar 22 12 237 0ms 0ms 17 0ms 0ms 0ms 10 0ms select * from ( select pricedatetime, open, high, low, close, volume, bsf from t30 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 22 12 10 0ms 0ms 18 0ms 0ms 0ms 6 0ms select pid, datname, client_addr from pg_stat_activity where query ilike ? and pid <> pg_backend_pid() and state = ? and datname = ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 22 12 6 0ms 0ms 19 0ms 0ms 0ms 2 0ms update executions set isrunning = false, has_results = false, response = ? where id = ?;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 22 12 2 0ms 0ms 20 0ms 0ms 0ms 237 0ms select system_identifier from pg_control_system ();Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 22 12 237 0ms 0ms Time consuming prepare
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 1s120ms 652 0ms 5ms 1ms SELECT symbolid, ;Times Reported Time consuming prepare #1
Day Hour Count Duration Avg duration Mar 22 12 652 1s120ms 1ms -
SELECT symbolid, ;
Date: 2026-03-22 12:16:22 Duration: 5ms Database: postgres
-
SELECT symbolid, ;
Date: 2026-03-22 12:02:22 Duration: 4ms Database: postgres
-
SELECT symbolid, ;
Date: 2026-03-22 12:30:53 Duration: 3ms Database: postgres
2 254ms 183 0ms 8ms 1ms WITH rar_max as ( ;Times Reported Time consuming prepare #2
Day Hour Count Duration Avg duration 12 183 254ms 1ms -
WITH rar_max as ( ;
Date: 2026-03-22 12:05:14 Duration: 8ms Database: postgres
-
WITH rar_max as ( ;
Date: 2026-03-22 12:14:37 Duration: 8ms Database: postgres
-
WITH rar_max as ( ;
Date: 2026-03-22 12:05:14 Duration: 7ms Database: postgres
3 230ms 2,328 0ms 1ms 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 #3
Day Hour Count Duration Avg duration 12 2,328 230ms 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: 2026-03-22 12:47:22 Duration: 1ms 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: 2026-03-22 12:02:08 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: 2026-03-22 12:11:00 Duration: 0ms Database: postgres
4 191ms 2,421 0ms 0ms 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 #4
Day Hour Count Duration Avg duration 12 2,421 191ms 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: 2026-03-22 12:47:52 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: 2026-03-22 12:10:25 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: 2026-03-22 12:41:07 Duration: 0ms Database: postgres
5 157ms 128 0ms 1ms 1ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming prepare #5
Day Hour Count Duration Avg duration 12 128 157ms 1ms -
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 12:45:56 Duration: 1ms Database: postgres
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 12:47:26 Duration: 1ms Database: postgres
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 12:17:41 Duration: 1ms Database: postgres
6 126ms 828 0ms 0ms 0ms SET extra_float_digits = 3;Times Reported Time consuming prepare #6
Day Hour Count Duration Avg duration 12 828 126ms 0ms -
SET extra_float_digits = 3;
Date: 2026-03-22 12:45:56 Duration: 0ms Database: postgres
-
SET extra_float_digits = 3;
Date: 2026-03-22 12:50:26 Duration: 0ms Database: postgres
-
SET extra_float_digits = 3;
Date: 2026-03-22 12:05:14 Duration: 0ms Database: postgres
7 111ms 369 0ms 6ms 0ms SELECT ;Times Reported Time consuming prepare #7
Day Hour Count Duration Avg duration 12 369 111ms 0ms -
SELECT ;
Date: 2026-03-22 12:05:14 Duration: 6ms Database: postgres
-
SELECT ;
Date: 2026-03-22 12:14:37 Duration: 1ms Database: postgres
-
SELECT ;
Date: 2026-03-22 12:51:54 Duration: 1ms Database: postgres
8 103ms 548 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 prepare #8
Day Hour Count Duration Avg duration 12 548 103ms 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: 2026-03-22 12:17:02 Duration: 0ms 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: 2026-03-22 12:02:22 Duration: 0ms 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: 2026-03-22 12:17:11 Duration: 0ms Database: postgres
9 46ms 18 1ms 3ms 2ms 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 12 18 46ms 2ms -
select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;
Date: 2026-03-22 12:11:01 Duration: 3ms 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: 2026-03-22 12:21:01 Duration: 3ms 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: 2026-03-22 12:51:01 Duration: 3ms Database: postgres
10 43ms 36 0ms 1ms 1ms select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;Times Reported Time consuming prepare #10
Day Hour Count Duration Avg duration 12 36 43ms 1ms -
select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;
Date: 2026-03-22 12:02:14 Duration: 1ms Database: postgres
-
select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;
Date: 2026-03-22 12:17:16 Duration: 1ms Database: postgres
-
select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;
Date: 2026-03-22 12:22:17 Duration: 1ms Database: postgres
11 38ms 348 0ms 3ms 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 12 348 38ms 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: 2026-03-22 12:15:33 Duration: 3ms 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: 2026-03-22 12:11:08 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: 2026-03-22 12:11:26 Duration: 0ms Database: postgres
12 34ms 284 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 #12
Day Hour Count Duration Avg duration 12 284 34ms 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: 2026-03-22 12:46:06 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: 2026-03-22 12:46:26 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: 2026-03-22 12:32:26 Duration: 0ms Database: postgres
13 30ms 36 0ms 1ms 0ms select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;Times Reported Time consuming prepare #13
Day Hour Count Duration Avg duration 12 36 30ms 0ms -
select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;
Date: 2026-03-22 12:02:14 Duration: 1ms Database: postgres
-
select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;
Date: 2026-03-22 12:07:38 Duration: 1ms Database: postgres
-
select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;
Date: 2026-03-22 12:17:39 Duration: 1ms Database: postgres
14 14ms 6 2ms 2ms 2ms 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 #14
Day Hour Count Duration Avg duration 12 6 14ms 2ms -
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: 2026-03-22 12:40:05 Duration: 2ms 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: 2026-03-22 12:20:05 Duration: 2ms 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: 2026-03-22 12:10:05 Duration: 2ms Database: postgres
15 10ms 36 0ms 0ms 0ms select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;Times Reported Time consuming prepare #15
Day Hour Count Duration Avg duration 12 36 10ms 0ms -
select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;
Date: 2026-03-22 12:02:14 Duration: 0ms Database: postgres
-
select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;
Date: 2026-03-22 12:07:38 Duration: 0ms Database: postgres
-
select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;
Date: 2026-03-22 12:22:17 Duration: 0ms Database: postgres
16 9ms 816 0ms 0ms 0ms SET application_name = 'PostgreSQL JDBC Driver';Times Reported Time consuming prepare #16
Day Hour Count Duration Avg duration 12 816 9ms 0ms -
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-22 12:15:52 Duration: 0ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-22 12:46:54 Duration: 0ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-22 12:46:54 Duration: 0ms Database: postgres
17 4ms 100 0ms 0ms 0ms select 1;Times Reported Time consuming prepare #17
Day Hour Count Duration Avg duration 12 100 4ms 0ms -
select 1;
Date: 2026-03-22 12:50:54 Duration: 0ms Database: postgres
-
select 1;
Date: 2026-03-22 12:50:54 Duration: 0ms Database: postgres
-
select 1;
Date: 2026-03-22 12:05:14 Duration: 0ms Database: postgres
18 4ms 1 4ms 4ms 4ms SELECT * FROM broker_stats_groups_view WHERE brokerid = 538 LIMIT $1;Times Reported Time consuming prepare #18
Day Hour Count Duration Avg duration 12 1 4ms 4ms -
SELECT * FROM broker_stats_groups_view WHERE brokerid = 538 LIMIT $1;
Date: 2026-03-22 12:15:36 Duration: 4ms Database: postgres
19 4ms 3 1ms 1ms 1ms SELECT groupid, ;Times Reported Time consuming prepare #19
Day Hour Count Duration Avg duration 12 3 4ms 1ms -
SELECT groupid, ;
Date: 2026-03-22 12:51:53 Duration: 1ms Database: postgres
-
SELECT groupid, ;
Date: 2026-03-22 12:51:53 Duration: 1ms Database: postgres
-
SELECT groupid, ;
Date: 2026-03-22 12:51:54 Duration: 1ms Database: postgres
20 4ms 6 0ms 1ms 0ms SELECT DISTINCT ON (basegroupname, symbol) ;Times Reported Time consuming prepare #20
Day Hour Count Duration Avg duration 12 6 4ms 0ms -
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 12:06:03 Duration: 1ms Database: postgres
-
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 12:50:53 Duration: 1ms Database: postgres
-
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 12:11:00 Duration: 0ms Database: postgres
Time consuming bind
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 10s368ms 810 0ms 63ms 12ms WITH rar_max as ( ;Times Reported Time consuming bind #1
Day Hour Count Duration Avg duration Mar 22 12 810 10s368ms 12ms -
WITH rar_max as ( ;
Date: 2026-03-22 12:50:54 Duration: 63ms Database: postgres parameters: $1 = '607871836311280303', $2 = '607871836311280303', $3 = '607871836311280303'
-
WITH rar_max as ( ;
Date: 2026-03-22 12:50:54 Duration: 49ms Database: postgres parameters: $1 = '607871593450019303', $2 = '607871593450019303', $3 = '607871593450019303'
-
WITH rar_max as ( ;
Date: 2026-03-22 12:50:54 Duration: 48ms Database: postgres parameters: $1 = '607871358646263303', $2 = '607871358646263303', $3 = '607871358646263303'
2 1s794ms 652 0ms 4ms 2ms SELECT symbolid, ;Times Reported Time consuming bind #2
Day Hour Count Duration Avg duration 12 652 1s794ms 2ms -
SELECT symbolid, ;
Date: 2026-03-22 12:32:24 Duration: 4ms Database: postgres parameters: $1 = 'BDSWISS', $2 = '15', $3 = 'SPX500'
-
SELECT symbolid, ;
Date: 2026-03-22 12:15:52 Duration: 4ms Database: postgres parameters: $1 = 'PEPPERSTONEMT5', $2 = '15', $3 = 'INTC.US', $4 = 'BABA.US', $5 = 'ORCL.US', $6 = 'AAPL.US', $7 = 'EA.US', $8 = 'AXP.US', $9 = 'META.US', $10 = 'AMZN.US', $11 = 'COIN.US', $12 = 'MRNA.US', $13 = 'MA.US', $14 = 'NVDA.US', $15 = 'BIDU.US', $16 = 'ABNB.US', $17 = 'DIS.US', $18 = 'MCD.US', $19 = 'BA.US', $20 = 'LMT.US', $21 = 'GS.US', $22 = 'GOOG.US', $23 = 'IBM.US', $24 = 'AMD.US', $25 = 'BRK.B.US', $26 = 'JPM.US', $27 = 'CRM.US', $28 = 'C.US', $29 = 'NFLX.US', $30 = 'BYND.US', $31 = 'MSFT.US', $32 = 'NKE.US'
-
SELECT symbolid, ;
Date: 2026-03-22 12:02:27 Duration: 4ms Database: postgres parameters: $1 = 'GLOBALGTMT5', $2 = '15', $3 = 'DOTBTC', $4 = 'EURGBP', $5 = 'EURJPY', $6 = 'BTCXAU', $7 = 'BTCZAR', $8 = 'ETHJPY', $9 = 'EURHUF', $10 = 'BTCUSD', $11 = 'ETHUSD', $12 = 'DOGUSD', $13 = 'GBPJPY', $14 = 'EURUSD', $15 = 'EURAUD', $16 = 'BTCJPY', $17 = 'GBPUSD', $18 = 'BTCUSO'
3 1s402ms 4,050 0ms 5ms 0ms SELECT ;Times Reported Time consuming bind #3
Day Hour Count Duration Avg duration 12 4,050 1s402ms 0ms -
SELECT ;
Date: 2026-03-22 12:51:54 Duration: 5ms Database: postgres parameters: $1 = '500991628203869200'
-
SELECT ;
Date: 2026-03-22 12:18:56 Duration: 5ms Database: postgres parameters: $1 = '515840243198780300'
-
SELECT ;
Date: 2026-03-22 12:51:54 Duration: 4ms Database: postgres parameters: $1 = '500991628203869200'
4 281ms 45 4ms 15ms 6ms WITH last_candle AS ( ;Times Reported Time consuming bind #4
Day Hour Count Duration Avg duration 12 45 281ms 6ms -
WITH last_candle AS ( ;
Date: 2026-03-22 12:08:00 Duration: 15ms Database: postgres parameters: $1 = '558', $2 = '558'
-
WITH last_candle AS ( ;
Date: 2026-03-22 12:52:00 Duration: 13ms Database: postgres parameters: $1 = '558', $2 = '558'
-
WITH last_candle AS ( ;
Date: 2026-03-22 12:08:03 Duration: 8ms Database: postgres parameters: $1 = '667', $2 = '667'
5 252ms 128 1ms 2ms 1ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming bind #5
Day Hour Count Duration Avg duration 12 128 252ms 1ms -
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 12:01:58 Duration: 2ms Database: postgres parameters: $1 = 'FPMARKETS'
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 12:17:24 Duration: 2ms Database: postgres parameters: $1 = 'BDSWISS'
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 12:47:26 Duration: 2ms Database: postgres parameters: $1 = 'BDSWISS'
6 186ms 2,422 0ms 2ms 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 #6
Day Hour Count Duration Avg duration 12 2,422 186ms 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: 2026-03-22 12:01:48 Duration: 2ms Database: postgres parameters: $1 = '2026-03-20 22:00:00', $2 = '1.05116', $3 = '1.05157', $4 = '1.05073', $5 = '1.0511', $6 = '6457', $7 = '515840230487951300', $8 = '0', $9 = '2026-03-22 12:01:48.183', $10 = '2026-03-22 12:01:48.183', $11 = '1.05116', $12 = '1.05157', $13 = '1.05073', $14 = '1.0511', $15 = '6457', $16 = '0', $17 = '2026-03-22 12:01:48.183', $18 = '2026-03-22 12:01:48.183'
-
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: 2026-03-22 12:02:08 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 20:00:00', $2 = '8312.4', $3 = '8312.4', $4 = '8274.05', $5 = '8279.7', $6 = '14414', $7 = '515840248015562300', $8 = '0', $9 = '2026-03-22 12:02:08.363', $10 = '2026-03-22 12:02:08.268', $11 = '8312.4', $12 = '8312.4', $13 = '8274.05', $14 = '8279.7', $15 = '14414', $16 = '0', $17 = '2026-03-22 12:02:08.363', $18 = '2026-03-22 12:02:08.268'
-
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: 2026-03-22 12:00:54 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 22:00:00', $2 = '4500.38', $3 = '4516.78', $4 = '4485.64', $5 = '4501.56', $6 = '23801', $7 = '515840230627943300', $8 = '0', $9 = '2026-03-22 12:00:54.962', $10 = '2026-03-22 12:00:54.96', $11 = '4500.38', $12 = '4516.78', $13 = '4485.64', $14 = '4501.56', $15 = '23801', $16 = '0', $17 = '2026-03-22 12:00:54.962', $18 = '2026-03-22 12:00:54.96'
7 176ms 24 0ms 18ms 7ms WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;Times Reported Time consuming bind #7
Day Hour Count Duration Avg duration 12 24 176ms 7ms -
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;
Date: 2026-03-22 12:32:31 Duration: 18ms Database: postgres parameters: $1 = '667', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
-
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;
Date: 2026-03-22 12:17:05 Duration: 17ms Database: postgres parameters: $1 = '667', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
-
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;
Date: 2026-03-22 12:07:12 Duration: 11ms Database: postgres parameters: $1 = '667', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
8 162ms 2,453 0ms 0ms 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 #8
Day Hour Count Duration Avg duration 12 2,453 162ms 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: 2026-03-22 12:11:08 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 21:00:00', $2 = '8279.4', $3 = '8282.4', $4 = '8256.4', $5 = '8265.4', $6 = '6981', $7 = '515840248015340300', $8 = '0', $9 = '2026-03-22 12:11:08.35', $10 = '2026-03-22 12:11:08.254', $11 = '8279.4', $12 = '8282.4', $13 = '8256.4', $14 = '8265.4', $15 = '6981', $16 = '0', $17 = '2026-03-22 12:11:08.35', $18 = '2026-03-22 12:11:08.254'
-
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: 2026-03-22 12:10:25 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 22:00:00', $2 = '45631.15', $3 = '45769.05', $4 = '45617.15', $5 = '45708.05', $6 = '3019', $7 = '515840248000726300', $8 = '0', $9 = '2026-03-22 12:10:25.912', $10 = '2026-03-22 12:10:25.79', $11 = '45631.15', $12 = '45769.05', $13 = '45617.15', $14 = '45708.05', $15 = '3019', $16 = '0', $17 = '2026-03-22 12:10:25.912', $18 = '2026-03-22 12:10:25.79'
-
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: 2026-03-22 12:41:07 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 21:00:00', $2 = '8279.4', $3 = '8282.4', $4 = '8256.4', $5 = '8265.4', $6 = '6981', $7 = '515840248015340300', $8 = '0', $9 = '2026-03-22 12:41:07.827', $10 = '2026-03-22 12:41:07.724', $11 = '8279.4', $12 = '8282.4', $13 = '8256.4', $14 = '8265.4', $15 = '6981', $16 = '0', $17 = '2026-03-22 12:41:07.827', $18 = '2026-03-22 12:41:07.724'
9 133ms 3,437 0ms 4ms 0ms select 1;Times Reported Time consuming bind #9
Day Hour Count Duration Avg duration 12 3,437 133ms 0ms -
select 1;
Date: 2026-03-22 12:50:54 Duration: 4ms Database: postgres
-
select 1;
Date: 2026-03-22 12:51:02 Duration: 3ms Database: postgres
-
select 1;
Date: 2026-03-22 12:05:41 Duration: 3ms Database: postgres
10 124ms 2,879 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 #10
Day Hour Count Duration Avg duration 12 2,879 124ms 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: 2026-03-22 12:17:02 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 23:30:00', $2 = '7.47143', $3 = '7.47182', $4 = '7.47132', $5 = '7.4718', $6 = '51', $7 = '515840243190162300', $8 = '0', $9 = '2026-03-22 12:17:02.292', $10 = '2026-03-22 12:17:02.231', $11 = '7.47143', $12 = '7.47182', $13 = '7.47132', $14 = '7.4718', $15 = '51', $16 = '0', $17 = '2026-03-22 12:17:02.292', $18 = '2026-03-22 12:17:02.231'
-
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: 2026-03-22 12:32:19 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 23:30:00', $2 = '51248.5', $3 = '51278.5', $4 = '51203.5', $5 = '51276.5', $6 = '403', $7 = '515840245921261300', $8 = '0', $9 = '2026-03-22 12:32:19.465', $10 = '2026-03-22 12:32:19.376', $11 = '51248.5', $12 = '51278.5', $13 = '51203.5', $14 = '51276.5', $15 = '403', $16 = '0', $17 = '2026-03-22 12:32:19.465', $18 = '2026-03-22 12:32:19.376'
-
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: 2026-03-22 12:17:11 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 22:15:00', $2 = '8263.4', $3 = '8272.8', $4 = '8254.5', $5 = '8261.4', $6 = '327', $7 = '515840245910095300', $8 = '0', $9 = '2026-03-22 12:17:11.764', $10 = '2026-03-22 12:17:11.692', $11 = '8263.4', $12 = '8272.8', $13 = '8254.5', $14 = '8261.4', $15 = '327', $16 = '0', $17 = '2026-03-22 12:17:11.764', $18 = '2026-03-22 12:17:11.692'
11 96ms 4 21ms 26ms 24ms with wh_patitioned as ( ;Times Reported Time consuming bind #11
Day Hour Count Duration Avg duration 12 4 96ms 24ms -
with wh_patitioned as ( ;
Date: 2026-03-22 12:36:24 Duration: 26ms 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: 2026-03-22 12:18:50 Duration: 25ms 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: 2026-03-22 12:36:26 Duration: 23ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '558', $4 = '558', $5 = '558', $6 = '558', $7 = '558', $8 = '558', $9 = '558'
12 68ms 1 68ms 68ms 68ms SELECT * FROM broker_stats_groups_view WHERE brokerid = 636 LIMIT $1;Times Reported Time consuming bind #12
Day Hour Count Duration Avg duration 12 1 68ms 68ms -
SELECT * FROM broker_stats_groups_view WHERE brokerid = 636 LIMIT $1;
Date: 2026-03-22 12:26:07 Duration: 68ms Database: postgres parameters: $1 = '50'
13 38ms 1 38ms 38ms 38ms SELECT * FROM broker_stats_groups_view WHERE brokerid = 634 LIMIT $1;Times Reported Time consuming bind #13
Day Hour Count Duration Avg duration 12 1 38ms 38ms -
SELECT * FROM broker_stats_groups_view WHERE brokerid = 634 LIMIT $1;
Date: 2026-03-22 12:26:00 Duration: 38ms Database: postgres parameters: $1 = '50'
14 37ms 1 37ms 37ms 37ms SELECT * FROM broker_stats_groups_view WHERE brokerid = 538 LIMIT $1;Times Reported Time consuming bind #14
Day Hour Count Duration Avg duration 12 1 37ms 37ms -
SELECT * FROM broker_stats_groups_view WHERE brokerid = 538 LIMIT $1;
Date: 2026-03-22 12:15:36 Duration: 37ms Database: postgres parameters: $1 = '50'
15 35ms 441 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 12 441 35ms 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: 2026-03-22 12:11:08 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 16:00:00', $2 = '8369.4', $3 = '8373.4', $4 = '8299.4', $5 = '8312.9', $6 = '72835', $7 = '515840248015766300', $8 = '0', $9 = '2026-03-22 12:11:08.401', $10 = '2026-03-22 12:11:08.273', $11 = '8369.4', $12 = '8373.4', $13 = '8299.4', $14 = '8312.9', $15 = '72835', $16 = '0', $17 = '2026-03-22 12:11:08.401', $18 = '2026-03-22 12:11:08.273'
-
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: 2026-03-22 12:11:26 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 16:00:00', $2 = '45849.55', $3 = '45920.05', $4 = '45671.55', $5 = '45733.65', $6 = '82042', $7 = '515840248001054300', $8 = '0', $9 = '2026-03-22 12:11:26.589', $10 = '2026-03-22 12:11:26.511', $11 = '45849.55', $12 = '45920.05', $13 = '45671.55', $14 = '45733.65', $15 = '82042', $16 = '0', $17 = '2026-03-22 12:11:26.589', $18 = '2026-03-22 12:11:26.511'
-
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: 2026-03-22 12:45:58 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 20:00:00', $2 = '0.78805', $3 = '0.78902', $4 = '0.78742', $5 = '0.78801', $6 = '10720', $7 = '515840249378973300', $8 = '0', $9 = '2026-03-22 12:45:58.013', $10 = '2026-03-22 12:45:57.916', $11 = '0.78805', $12 = '0.78902', $13 = '0.78742', $14 = '0.78801', $15 = '10720', $16 = '0', $17 = '2026-03-22 12:45:58.013', $18 = '2026-03-22 12:45:57.916'
16 35ms 1 35ms 35ms 35ms SELECT * FROM broker_stats_groups_view WHERE brokerid = 914 LIMIT $1;Times Reported Time consuming bind #16
Day Hour Count Duration Avg duration 12 1 35ms 35ms -
SELECT * FROM broker_stats_groups_view WHERE brokerid = 914 LIMIT $1;
Date: 2026-03-22 12:32:10 Duration: 35ms Database: postgres parameters: $1 = '50'
17 33ms 1 33ms 33ms 33ms SELECT * FROM broker_stats_groups_view WHERE brokerid = 632 LIMIT $1;Times Reported Time consuming bind #17
Day Hour Count Duration Avg duration 12 1 33ms 33ms -
SELECT * FROM broker_stats_groups_view WHERE brokerid = 632 LIMIT $1;
Date: 2026-03-22 12:15:37 Duration: 33ms Database: postgres parameters: $1 = '50'
18 33ms 1 33ms 33ms 33ms SELECT * FROM broker_stats_groups_view WHERE brokerid = 549 LIMIT $1;Times Reported Time consuming bind #18
Day Hour Count Duration Avg duration 12 1 33ms 33ms -
SELECT * FROM broker_stats_groups_view WHERE brokerid = 549 LIMIT $1;
Date: 2026-03-22 12:26:18 Duration: 33ms Database: postgres parameters: $1 = '50'
19 33ms 6 3ms 7ms 5ms SELECT DISTINCT ON (basegroupname, symbol) ;Times Reported Time consuming bind #19
Day Hour Count Duration Avg duration 12 6 33ms 5ms -
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 12:06:03 Duration: 7ms Database: postgres parameters: $1 = '627', $2 = '627'
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SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 12:50:53 Duration: 6ms Database: postgres parameters: $1 = '667', $2 = '667'
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SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 12:11:00 Duration: 5ms Database: postgres parameters: $1 = '627', $2 = '627'
20 32ms 284 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 #20
Day Hour Count Duration Avg duration 12 284 32ms 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: 2026-03-22 12:32:26 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 00:00:00', $2 = '111.7905', $3 = '112.388', $4 = '111.615', $5 = '111.8125', $6 = '212699', $7 = '515840249384461300', $8 = '0', $9 = '2026-03-22 12:32:26.804', $10 = '2026-03-22 12:32:26.803', $11 = '111.7905', $12 = '112.388', $13 = '111.615', $14 = '111.8125', $15 = '212699', $16 = '0', $17 = '2026-03-22 12:32:26.804', $18 = '2026-03-22 12:32:26.803'
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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: 2026-03-22 12:45:07 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 00:00:00', $2 = '4651.21', $3 = '4735.95', $4 = '4477.52', $5 = '4490.78', $6 = '761680', $7 = '515840249391588300', $8 = '0', $9 = '2026-03-22 12:45:07.769', $10 = '2026-03-22 12:45:07.768', $11 = '4651.21', $12 = '4735.95', $13 = '4477.52', $14 = '4490.78', $15 = '761680', $16 = '0', $17 = '2026-03-22 12:45:07.769', $18 = '2026-03-22 12:45:07.768'
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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: 2026-03-22 12:46:04 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 00:00:00', $2 = '72.8405', $3 = '74.5615', $4 = '67.6865', $5 = '67.7985', $6 = '456486', $7 = '515840249469364300', $8 = '0', $9 = '2026-03-22 12:46:04.383', $10 = '2026-03-22 12:46:04.381', $11 = '72.8405', $12 = '74.5615', $13 = '67.6865', $14 = '67.7985', $15 = '456486', $16 = '0', $17 = '2026-03-22 12:46:04.383', $18 = '2026-03-22 12:46:04.381'
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Events
Log levels
Key values
- 142,521 Log entries
Events distribution
Key values
- 0 PANIC entries
- 0 FATAL entries
- 389 ERROR entries
- 0 WARNING entries
Most Frequent Errors/Events
Key values
- 237 Max number of times the same event was reported
- 389 Total events found
Rank Times reported Error 1 237 ERROR: canceling statement due to statement timeout
Times Reported Most Frequent Error / Event #1
Day Hour Count Mar 22 12 237 - 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: 2026-03-22 12:00:13
2 76 ERROR: syntax error at or near "..."
Times Reported Most Frequent Error / Event #2
Day Hour Count Mar 22 12 76 - 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: 2026-03-22 12:15:37
Statement: SELECT * FROM broker_stats_timezone_offset_count_view WHERE group" = 'Commodities' LIMIT $1
Date: 2026-03-22 12:15:37
3 76 ERROR: function broker_stats_get_symbols_function(...) does not exist
Times Reported Most Frequent Error / Event #3
Day Hour Count Mar 22 12 76 - 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(601729875343618307,538) WHERE lower(category) = 'symbol' ORDER BY correct DESC LIMIT $1Date: 2026-03-22 12:15:37