-
Global information
- Generated on Sun Mar 22 14:59:17 2026
- Log file: /home/postgres/pg_data/data/pg_log/postgresql-2026-03-22_160000.log
- Parsed 509,614 log entries in 16s
- Log start from 2026-03-22 16:00:00 to 2026-03-22 16:59:15
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Overview
Global Stats
- 177 Number of unique normalized queries
- 76,104 Number of queries
- 1h16m28s Total query duration
- 2026-03-22 16:00:00 First query
- 2026-03-22 16:59:15 Last query
- 1,434 queries/s at 2026-03-22 16:15:04 Query peak
- 1h16m28s Total query duration
- 3s335ms Prepare/parse total duration
- 18s191ms Bind total duration
- 1h16m6s Execute total duration
- 237 Number of events
- 1 Number of unique normalized events
- 237 Max number of times the same event was reported
- 0 Number of cancellation
- 318 Total number of automatic vacuums
- 44 Total number of automatic analyzes
- 1,417 Number temporary file
- 621.98 MiB Max size of temporary file
- 99.09 MiB Average size of temporary file
- 2,012 Total number of sessions
- 13 sessions at 2026-03-22 16:53:48 Session peak
- 15h15m21s Total duration of sessions
- 27s297ms Average duration of sessions
- 37 Average queries per session
- 2s280ms Average queries duration per session
- 25s16ms Average idle time per session
- 2,012 Total number of connections
- 27 connections/s at 2026-03-22 16:03:48 Connection peak
- 3 Total number of databases
SQL Traffic
Key values
- 1,434 queries/s Query Peak
- 2026-03-22 16:15:04 Date
SELECT Traffic
Key values
- 704 queries/s Query Peak
- 2026-03-22 16:15:04 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 92 queries/s Query Peak
- 2026-03-22 16:51:51 Date
Queries duration
Key values
- 1h16m28s 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 16 76,104 0ms 20s237ms 60ms 2m43s 2m52s 3m13s Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Mar 22 16 21,113 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 16 11,041 475 16 96 0ms 0ms 0ms 0ms Day Hour Prepare Bind Bind/Prepare Percentage of prepare Mar 22 16 10,072 21,854 2.17 28.45% Day Hour Count Average / Second Mar 22 16 2,012 0.56/s Day Hour Count Average Duration Average idle time Mar 22 16 2,012 27s297ms 25s27ms -
Connections
Established Connections
Key values
- 27 connections Connection Peak
- 2026-03-22 16:03:48 Date
Connections per database
Key values
- acaweb_fx Main Database
- 2,012 connections Total
Connections per user
Key values
- postgres Main User
- 2,012 connections Total
Connections per host
Key values
- 192.168.4.142 Main host with 945 connections
- 2,012 Total connections
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Sessions
Simultaneous sessions
Key values
- 13 sessions Session Peak
- 2026-03-22 16:53:48 Date
Histogram of session times
Key values
- 1,656 0-500ms duration
Sessions per database
Key values
- acaweb_fx Main Database
- 2,012 sessions Total
Sessions per user
Key values
- postgres Main User
- 2,012 sessions Total
Sessions per host
Key values
- 192.168.4.142 Main Host
- 2,012 sessions Total
Host Count Total Duration Average Duration 127.0.0.1 105 3s232ms 30ms 192.168.0.114 2 10m 5m 192.168.0.216 116 6m26s 3s328ms 192.168.0.74 27 1h36m50s 3m35s 192.168.1.145 6 1h11m29s 11m54s 192.168.1.15 4 1h20m59s 20m14s 192.168.1.20 28 10h37m18s 22m45s 192.168.1.239 54 246ms 4ms 192.168.1.90 42 795ms 18ms 192.168.2.126 18 5s442ms 302ms 192.168.3.199 38 21s812ms 574ms 192.168.4.142 945 7m22s 468ms 192.168.4.33 61 21s992ms 360ms 192.168.4.98 330 13s239ms 40ms [local] 236 3m47s 964ms -
Checkpoints / Restartpoints
Checkpoints Buffers
Key values
- 2,027 buffers Checkpoint Peak
- 2026-03-22 16:04:48 Date
- 209.392 seconds Highest write time
- 1.524 seconds Sync time
Checkpoints Wal files
Key values
- 2 files Wal files usage Peak
- 2026-03-22 16:04:48 Date
Checkpoints distance
Key values
- 49.85 Mo Distance Peak
- 2026-03-22 16:09:38 Date
Checkpoints Activity
↑ Back to the top of the Checkpoint Activity tableDay Hour Written buffers Write time Sync time Total time Mar 22 16 15,673 1,673.404s 2.788s 1,681.514s Day Hour Added Removed Recycled Synced files Longest sync Average sync Mar 22 16 0 0 12 1,418 1.524s 0.036s Day Hour Count Avg time (sec) Mar 22 16 0 0s Day Hour Mean distance Mean estimate Mar 22 16 15,445.25 kB 69,371.50 kB -
Temporary Files
Size of temporary files
Key values
- 621.98 MiB Temp Files size Peak
- 2026-03-22 16:03:43 Date
Number of temporary files
Key values
- 30 per second Temp Files Peak
- 2026-03-22 16:02:08 Date
Temporary Files Activity
↑ Back to the top of the Temporary Files Activity tableDay Hour Count Total size Average size Mar 22 16 1,417 137.13 GiB 99.09 MiB Queries generating the most temporary files (N)
Rank Count Total size Min size Max size Avg size Query 1 238 134.05 GiB 307.48 MiB 621.98 MiB 576.76 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 16:00:00 Duration: 0ms
2 84 140.05 MiB 137.65 KiB 3.87 MiB 1.67 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 16:00:50 Duration: 0ms
3 29 135.65 MiB 4.59 MiB 5.02 MiB 4.68 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 16:00:58 Duration: 0ms
4 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 16:03:10 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 16:01:16 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 16:01:19 Duration: 0ms
7 6 23.19 MiB 3.87 MiB 3.87 MiB 3.87 MiB select resultuid from relevance_consecutivecandles_results order by resultuid desc limit ?), all_results as ( select ccr.resultuid as resultuid, ccr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ccr.patternendtime as identified, dtt.timezone as timezone, ccr.qtyconsecutivecandles as length, g.basegroupname, case when rcr.age is not null then rcr.age when ccr.resultuid <= rm.resultuid then ? else ? end as age, case when rcr.relevant is not null then rcr.relevant when ccr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip, newlevels.filtered from consecutivecandles_results ccr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = ccr.symbolid inner join symbols s on ccr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on ccr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on ccr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join rar_max rm on ? = ? left outer join relevance_consecutivecandles_results rcr on rcr.resultuid = ccr.resultuid left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? left join lateral calc_cc_signal_filter (ccr.resultuid) newlevels on true where ccr.gmttimefound > now() - interval ? and s.deleted = ? and (ccr.simulation = ? or ccr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ccr.patternlengthbars <= ?)), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;-
SELECT resultuid FROM relevance_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $1 AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ($2 = 0 OR s.timegranularity in ($3, $4, $5, $6, $7, $8, $9)) AND ($10 = 0 OR s.exchange in ($11)) AND ($12 = 0 OR coalesce(bim.code, s.symbol) in ($13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322)) AND ($323 = 0 OR ccr.patternlengthbars <= $324)), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $325 OR relevant = 1) AND ($326 = 0 OR age <= $327) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-03-22 16:02:31 Duration: 0ms
8 4 572.05 MiB 143.01 MiB 143.01 MiB 143.01 MiB select updateresultsmaterializedview ();-
select updateresultsmaterializedview ();
Date: 2026-03-22 16:02:12 Duration: 0ms
9 4 318.21 MiB 79.55 MiB 79.56 MiB 79.55 MiB select updateageforrelevantresults ();-
select updateageforrelevantresults ();
Date: 2026-03-22 16:02:04 Duration: 0ms
Queries generating the largest temporary files
Rank Size Query 1 621.98 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 16:00:59 ]
2 621.98 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 16:03:29 ]
3 621.98 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 16:03:43 ]
4 621.98 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 16:03:58 ]
5 621.98 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 16:13:15 ]
6 621.98 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 16:13:30 ]
7 621.98 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 16:13:43 ]
8 621.98 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 16:14:00 ]
9 621.98 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 16:14:15 ]
10 621.98 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 16:14:28 ]
11 621.98 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 16:14:43 ]
12 621.98 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 16:15:00 ]
13 621.98 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 16:15:28 ]
14 621.98 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 16:21:30 ]
15 621.98 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 16:32:14 ]
16 621.98 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 16:35:28 ]
17 621.98 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 16:35:43 ]
18 621.98 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 16:35:59 ]
19 621.98 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 16:45:14 ]
20 621.98 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 16:47:14 ]
-
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 (17) Main table analyzed (database acaweb_fx)
- 44 analyzes Total
Table Number of analyzes acaweb_fx.public.solr_relevance_old 17 acaweb_fx.pg_catalog.pg_attribute 7 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.solr_imports 1 acaweb_fx.public.relevance_autochartist_results 1 acaweb_fx.public.latest_candle_datetime_per_receng 1 acaweb_fx.public.relevance_fibonacci_results 1 Total 44 Vacuums per table
Key values
- public.solr_relevance_old (17) Main table vacuumed on database acaweb_fx
- 318 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 17 16 12,256 0 839 0 0 7,980 1,629 7,407,764 acaweb_fx.public.datafeeds_latestrun 3 0 362 0 6 0 0 37 7 40,894 acaweb_fx.pg_catalog.pg_attribute 3 3 2,810 0 380 0 201 1,060 376 2,225,799 acaweb_fx.pg_catalog.pg_class 2 2 896 0 44 0 0 256 44 292,633 acaweb_fx.pg_catalog.pg_type 2 2 352 0 23 0 0 145 19 116,560 acaweb_fx_integer.public.powerstats_hourly_test 1 0 79 0 0 0 2,784 1 0 245 acaweb_fx_integer.pg_toast.pg_toast_51893 1 0 32 0 1 0 0 1 1 3,341 acaweb_fx_integer.public.datafeedinstrumentmappingconfig 1 0 47 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52887 1 0 34 0 0 0 0 1 0 188 acaweb_fx_integer.public.marketreportsubscriptions 1 0 14 0 0 0 0 1 0 233 acaweb_fx_integer.public.performancestats_satellites 1 0 12 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52482 1 0 32 0 1 0 0 1 1 4,977 acaweb_fx_integer.public.ss_marketreportresources 1 0 53 0 0 0 204 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_51973 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_52096 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.filters 1 0 43 0 0 0 30,417 1 0 233 acaweb_fx_integer.public.powerstats_trumpet_test 1 0 99 0 0 0 113,672 1 0 245 acaweb_fx_integer.public.timezones_chinese_simplified 1 0 13 0 0 0 0 1 0 233 acaweb_fx_integer.public.hve_correlating_signals 1 0 23 0 1 0 35 1 1 3,693 acaweb_fx_integer.pg_toast.pg_toast_52059 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.datafeedstimetable 1 0 88 0 1 0 0 1 1 3,241 acaweb_fx_integer.public.datafeeds_kinesis_run 1 0 26 0 0 0 0 1 0 233 acaweb_fx_integer.public.translation_groups 1 0 32 0 1 0 0 1 1 5,321 acaweb_fx_integer.public.timezones_italian 1 0 14 0 0 0 0 1 0 233 acaweb_fx_integer.public.intervals 1 0 32 0 0 0 0 1 0 233 acaweb_fx_integer.public.keylevels_results_relevance 1 0 82 0 1 0 22,245 1 1 4,977 acaweb_fx_integer.public.currencypips 1 0 43 0 0 0 0 1 0 233 acaweb_fx.public.latest_t15_candle_view 1 1 66 0 5 0 0 6 4 11,355 acaweb_fx_integer.public.timezones_chinese_traditional 1 0 43 0 0 0 0 1 0 233 acaweb_fx_integer.public.market_report_results 1 0 37 0 0 0 0 1 0 233 acaweb_fx_integer.public.timezones_korean 1 0 14 0 0 0 0 1 0 233 acaweb_fx_integer.public.timezones_polish 1 0 14 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52864 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.stats_fibonaccipatterns_emerging_quantities 1 0 32 0 1 0 354 1 1 4,209 acaweb_fx_integer.public.brokermt4authservers 1 0 10 0 0 0 0 1 0 233 acaweb_fx_integer.public.brokergroups 1 0 58 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_53367 1 0 33 0 1 0 0 1 1 7,777 acaweb_fx_integer.public.hrssearches 1 0 32 0 0 0 4,640 1 0 233 acaweb_fx_integer.public.satelliteauthentication 1 0 31 0 1 0 0 1 1 6,805 acaweb_fx_integer.pg_toast.pg_toast_52417 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.datafeedinstruments 1 0 56 0 0 0 126 1 0 233 acaweb_fx_integer.public.timezones_arabic 1 0 15 0 0 0 0 1 0 233 acaweb_fx_integer.public.timezones_greek 1 0 15 0 0 0 0 1 0 233 acaweb_fx_integer.public.users_old 1 0 97 0 0 0 4,673 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52489 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.brokerusers 1 0 78 0 0 0 977 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52275 1 0 33 0 1 0 0 1 1 4,261 acaweb_fx_integer.pg_toast.pg_toast_52564 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.satelliteservers 1 0 32 0 0 0 0 1 0 233 acaweb_fx_integer.public.keylevels_patternclasses 1 0 28 0 0 0 0 1 0 233 acaweb_fx_integer.public.relevance_autochartist_results_old 1 0 97 0 0 0 9,876 1 0 233 acaweb_fx_integer.public.fxdd_adminusers 1 0 29 0 0 0 0 1 0 233 acaweb_fx_integer.public.timezones_spanish 1 0 13 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52235 1 0 31 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_51809 1 0 31 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_52206 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.timezones_turkish 1 0 14 0 0 0 0 1 0 233 acaweb_fx_integer.public.t60_stock_split 1 0 32 0 1 0 99 1 1 5,073 acaweb_fx_integer.public.keylevelspatterns 1 0 26 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52759 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_52020 1 0 32 0 1 0 0 1 1 6,093 acaweb_fx_integer.public.latestquotes 1 0 31 0 0 0 0 1 0 233 acaweb_fx_integer.public.sa_analysistypes 1 0 77 0 1 0 0 1 1 2,017 acaweb_fx_integer.pg_toast.pg_toast_52773 1 0 32 0 1 0 0 1 1 2,821 acaweb_fx_integer.public.solr_groupnames 1 0 56 0 1 0 1,596 1 1 2,477 acaweb_fx_integer.pg_toast.pg_toast_52796 1 0 33 0 0 0 108,532 1 0 188 acaweb_fx_integer.public.usersessions 1 0 91 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52171 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.datafeed_restarter_events 1 0 32 0 0 0 355 1 0 233 acaweb_fx_integer.public.symbolupdatetime 1 0 13 0 0 0 0 1 0 233 acaweb_fx_integer.public.t1440_stock_split 1 0 42 0 1 0 49 1 1 7,357 acaweb_fx_integer.public.broker_powerstats 1 0 13 0 0 0 0 1 0 233 acaweb_fx_integer.public.cachedump 1 0 72 0 0 0 0 1 0 233 acaweb_fx_integer.public.translation_types 1 0 28 0 1 0 0 1 1 7,137 acaweb_fx_integer.public.t30_stock_split 1 0 31 0 0 0 138 1 0 221 acaweb_fx_integer.pg_toast.pg_toast_53291 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_52349 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.whatshot_correlatingsignals 1 0 48 0 0 0 0 1 0 233 acaweb_fx_integer.public.t60_fps 1 0 89 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_53317 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.exchangesisodata 1 0 90 0 1 0 0 1 1 5,265 acaweb_fx_integer.pg_toast.pg_toast_53303 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.futures_symbol_frontmonth 1 0 46 0 0 0 0 1 0 233 acaweb_fx_integer.public.t240_fps 1 0 92 0 1 0 0 1 1 6,901 acaweb_fx_integer.public.relevance_japsticks_results 1 0 30 0 1 0 0 1 1 933 acaweb_fx_integer.public.relevance_correlation_results 1 0 30 0 0 0 0 1 0 245 acaweb_fx_integer.public.researchreports 1 0 61 0 0 0 5,079 1 0 233 acaweb_fx_integer.public.japsticks_results 1 0 84 0 0 0 0 1 0 245 acaweb_fx_integer.public.powerstats_avgmovementperhour 1 0 35 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_53008 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.whatshot_archive_correlatingsignals 1 0 31 0 0 0 0 1 0 233 acaweb_fx_integer.public.translation_placeholder_examples 1 0 34 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_53433 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_52502 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_52087 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.powerstats_consecutivebullcandles 1 0 35 0 0 0 0 1 0 233 acaweb_fx_integer.public.symbolexpectedpatterncount 1 0 61 0 0 0 166 1 0 233 acaweb_fx_integer.public.whatshot_groups 1 0 50 0 1 0 0 1 1 5,493 acaweb_fx_integer.public.whatshot_pref 1 0 98 0 0 0 1,584 1 0 233 acaweb_fx_integer.public.stats_chartpatterns_emerging_quantities 1 0 34 0 0 0 127 1 0 233 acaweb_fx_integer.public.futures_rolled_over_futures 1 0 36 0 0 0 0 1 0 233 acaweb_fx_integer.public.futures_brokersymbollist 1 0 74 0 0 0 0 1 0 233 acaweb_fx_integer.public.translations_history 1 0 32 0 1 0 0 1 1 5,665 acaweb_fx_integer.public.powerstats_avgmovement 1 0 34 0 1 0 0 1 1 3,609 acaweb_fx_integer.public.powerstats_daily_test 1 0 78 0 0 0 923 1 0 245 acaweb_fx_integer.pg_toast.pg_toast_52329 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.language_locales 1 0 30 0 1 0 0 1 1 6,621 acaweb_fx_integer.public.broker_mt4group 1 0 79 0 0 0 0 1 0 233 acaweb_fx_integer.public.instruments 1 0 52 0 0 0 94 1 0 233 acaweb_fx_integer.public.autochartist_symbolupdates_20191017a 1 0 75 0 0 0 626 1 0 233 acaweb_fx_integer.public.timezones_german 1 0 14 0 1 0 0 1 1 2,053 acaweb_fx_integer.public.whatshot_archive_probability 1 0 31 0 0 0 0 1 0 233 acaweb_fx_integer.public.intervalperiods 1 0 44 0 0 0 0 1 0 233 acaweb_fx_integer.public.emailtemplate 1 0 29 0 0 0 0 1 0 233 acaweb_fx_integer.public.stats_summary_emerging_2d 1 0 45 0 0 0 0 1 0 233 acaweb_fx_integer.public.disableddelete 1 0 12 0 1 0 0 1 1 5,045 acaweb_fx_integer.public.brokerdatafeedinstrumentlist 1 0 47 0 0 0 156 1 0 233 acaweb_fx_integer.public.powerstats 1 0 64 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_53353 1 0 33 0 1 0 0 1 1 7,713 acaweb_fx_integer.pg_toast.pg_toast_52130 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.translation_keys 1 0 32 0 1 0 0 1 1 5,637 acaweb_fx_integer.public.patternresults_symbolupdates 1 0 73 0 0 0 107 1 0 245 acaweb_fx_integer.public.t30_fps 1 0 90 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52738 1 0 32 0 0 0 0 1 0 188 acaweb_fx_integer.public.sa_hist_highesthigh60 1 0 71 0 0 0 0 1 0 233 acaweb_fx_integer.public.stats_fibonaccipatterns_complete_quantities 1 0 35 0 0 0 74 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_53333 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.sa_correlationsymbols 1 0 53 0 0 0 0 1 0 233 acaweb_fx_integer.public.stats_symbols_by_groups 1 0 47 0 0 0 365 1 0 221 acaweb_fx_integer.pg_toast.pg_toast_52574 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_53021 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.v_serverdays 1 0 12 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_51938 1 0 32 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_51956 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.timezones_dutch 1 0 14 0 0 0 0 1 0 233 acaweb_fx_integer.public.t15_hve 1 0 55 0 0 0 129,864 1 0 221 acaweb_fx_integer.public.sa_hist_correlation 1 0 76 0 0 0 0 1 0 233 acaweb_fx.pg_catalog.pg_statistic 1 1 978 0 193 0 594 378 172 618,396 acaweb_fx_integer.public.translation_groupings 1 0 35 0 1 0 0 1 1 6,061 acaweb_fx_integer.public.positionserrors 1 0 9 0 0 0 0 1 0 233 acaweb_fx_integer.public.whatshot_archive 1 0 28 0 0 0 0 1 0 233 acaweb_fx_integer.public.groups 1 0 59 0 1 0 108 1 1 6,525 acaweb_fx_integer.public.futures_symbol_codes 1 0 34 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52745 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.v_datafeedinstrumentid 1 0 11 0 0 0 0 1 0 233 acaweb_fx_integer.public.splits 1 0 32 0 1 0 0 1 1 6,777 acaweb_fx.public.relevance_fibonacci_results 1 1 1,086 0 60 0 57 127 50 220,524 acaweb_fx_integer.pg_toast.pg_toast_52377 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.timezones_portuguese 1 0 14 0 1 0 0 1 1 3,565 acaweb_fx_integer.public.timezones_russian 1 0 15 0 0 0 0 1 0 233 acaweb_fx_integer.archive.whatshot_correlatingsignals 1 0 9 0 1 0 0 1 1 6,501 acaweb_fx_integer.public.autochartist_symbolupdates_new 1 0 87 0 0 0 0 1 0 233 acaweb_fx_integer.public.futures_downloadersymbol 1 0 52 0 1 0 0 1 1 7,013 acaweb_fx_integer.pg_toast.pg_toast_52848 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.symbols 1 0 360 0 2 0 1,922 3 0 501 acaweb_fx_integer.public.symbols_preprocessed_newsymbols 1 0 39 0 0 0 0 1 0 233 acaweb_fx_integer.public.futures_symbols 1 0 31 0 0 0 0 1 0 233 acaweb_fx_integer.public.ws_symbols_temp 1 0 14 0 0 0 138 1 0 233 acaweb_fx_integer.public.stats_summary_emerging 1 0 37 0 0 0 0 1 0 233 acaweb_fx_integer.public.v_frontmonth_downloadersymbol 1 0 10 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_52509 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.timezones_farsi 1 0 15 0 0 0 0 1 0 233 acaweb_fx_integer.public.sa_hist_highesthigh 1 0 58 0 0 0 0 1 0 233 acaweb_fx_integer.public.latestbrokerresults 1 0 48 0 0 0 0 1 0 233 acaweb_fx_integer.public.v_statsid 1 0 10 0 0 0 0 1 0 188 acaweb_fx_integer.public.dataversion 1 0 54 0 0 0 0 1 0 233 acaweb_fx_integer.public.genericsearches 1 0 52 0 0 0 0 1 0 233 acaweb_fx_integer.public.futures_symbol_templates 1 0 55 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52467 1 0 33 0 1 0 0 1 1 7,901 acaweb_fx_integer.public.skrilltransactions 1 0 29 0 0 0 0 1 0 233 acaweb_fx_integer.public.t240_stock_split 1 0 32 0 0 0 90 1 0 221 acaweb_fx_integer.public.powerstats_avgmovementperdayofweek 1 0 35 0 0 0 0 1 0 233 acaweb_fx_integer.public.hrspatterns 1 0 26 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52424 1 0 32 0 1 0 0 1 1 3,693 acaweb_fx_integer.public.ac_emerging_unique 1 0 11 0 0 0 1,407 1 0 233 acaweb_fx_integer.public.timezones_luxemburg 1 0 13 0 0 0 0 1 0 233 acaweb_fx_integer.public.relevance_highesthighandlowestlow_results 1 0 29 0 0 0 0 1 0 245 acaweb_fx_integer.public.usage_latestlogin 1 0 33 0 0 0 1,211 1 0 233 acaweb_fx_integer.public.timezones_japanese 1 0 15 0 0 0 0 1 0 233 acaweb_fx_integer.public.hrs_results 1 0 31 0 0 0 0 1 0 233 acaweb_fx_integer.public.recognitionengineconfig 1 0 28 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52780 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_52731 1 0 33 0 1 0 0 1 1 2,017 acaweb_fx_integer.public.powerstats_consecutivebearcandles 1 0 34 0 0 0 0 1 0 233 acaweb_fx_integer.public.datafeedsymbols 1 0 49 0 0 0 362 1 0 233 acaweb_fx_integer.public.futures_symbol_groups 1 0 36 0 0 0 0 1 0 233 acaweb_fx_integer.public.broker 1 0 65 0 0 0 0 1 0 245 acaweb_fx.pg_catalog.pg_index 1 1 106 0 12 0 0 28 11 83,206 acaweb_fx_integer.public.t5 1 0 34 0 0 0 3,481 1 0 233 acaweb_fx_integer.public.stats_hrs_summary_by_groups_2d 1 0 65 0 0 0 0 1 0 221 acaweb_fx_integer.public.correlation_results 1 0 52 0 0 0 0 1 0 233 acaweb_fx_integer.public.broker_fibonaccipatterns 1 0 49 0 0 0 0 1 0 233 acaweb_fx_integer.public.translations 1 0 28 0 0 0 0 1 0 188 acaweb_fx_integer.public.relevance_autochartist_results_hve 1 0 181 0 0 0 361 1 0 233 acaweb_fx_integer.public.autochartist_latestrun 1 0 28 0 0 0 0 1 0 233 acaweb_fx_integer.public.downloadersymbolsettings 1 0 458 0 3 0 887 3 1 6,361 acaweb_fx_integer.pg_toast.pg_toast_52262 1 0 32 0 0 0 0 1 0 188 acaweb_fx_integer.public.autochartist_datareload 1 0 26 0 0 0 0 1 0 233 acaweb_fx_integer.public.iqfeedsymbollist_test 1 0 15 0 0 0 0 1 0 233 acaweb_fx_integer.public.organisationexchangepermissions 1 0 32 0 0 0 0 1 0 233 acaweb_fx_integer.public.tmp_nd 1 0 14 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52293 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.stats_symbols 1 0 35 0 0 0 550 1 0 245 acaweb_fx_integer.pg_toast.pg_toast_52247 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.spcall 1 0 9 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_53311 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.fibonaccipatterns 1 0 26 0 0 0 0 1 0 233 acaweb_fx_integer.public.best5trades 1 0 10 0 0 0 0 1 0 233 acaweb_fx_integer.public.datafeedchecks 1 0 28 0 0 0 0 1 0 233 acaweb_fx_integer.public.usertimezones 1 0 34 0 0 0 0 1 0 233 acaweb_fx_integer.public.sa_analysistypesintervals 1 0 33 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_53104 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_52583 1 0 57 0 0 0 0 1 0 188 acaweb_fx_integer.public.positions 1 0 116 0 0 0 0 1 0 233 acaweb_fx_integer.public.futures_month_code 1 0 56 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52322 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_51999 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.timezones_french 1 0 14 0 0 0 0 1 0 233 acaweb_fx_integer.public.timezones_hungarian 1 0 14 0 0 0 0 1 0 233 acaweb_fx_integer.public.usage_history 1 0 37 0 0 0 0 1 0 233 acaweb_fx_integer.public.stats_summary_by_groups_2d 1 0 99 0 1 0 0 2 0 355 acaweb_fx_integer.pg_toast.pg_toast_53297 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_52879 1 0 32 0 1 0 0 1 1 2,489 acaweb_fx_integer.public.relevance_fibonacci_results_old 1 0 135 0 0 0 3,494 1 0 233 acaweb_fx_integer.public.datafeedstimetable_history 1 0 81 0 1 0 1,118 1 1 6,297 acaweb_fx_integer.pg_toast.pg_toast_53323 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.powerstats_intervals 1 0 30 0 1 0 0 1 1 4,121 acaweb_fx_integer.public.t15_stock_split 1 0 33 0 0 0 222 1 0 221 acaweb_fx_integer.pg_toast.pg_toast_52873 1 0 33 0 0 0 0 1 0 188 acaweb_fx.pg_toast.pg_toast_2619 1 1 158 0 33 0 0 97 28 120,445 acaweb_fx_integer.public.broker_clones 1 0 32 0 1 0 0 1 1 6,825 acaweb_fx_integer.pg_toast.pg_toast_52916 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.highesthighandlowestlow_results 1 0 73 0 0 0 0 1 0 233 acaweb_fx_integer.public.broker_datafeeds 1 0 31 0 1 0 0 1 1 7,233 acaweb_fx_integer.public.fxdd 1 0 12 0 0 0 0 1 0 233 acaweb_fx_integer.public.exchanges 1 0 48 0 0 0 0 1 0 233 acaweb_fx_integer.public.timezones_indonesian 1 0 14 0 0 0 0 1 0 233 acaweb_fx_integer.public.performancestats_latestrun 1 0 12 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_51984 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.translationsmap 1 0 57 0 0 0 0 1 0 233 acaweb_fx_integer.public.timezones_romanian 1 0 29 0 0 0 0 1 0 245 acaweb_fx_integer.public.t1440_fps 1 0 92 0 0 0 0 1 0 233 acaweb_fx_integer.public.brokerinstrumentmap 1 0 40 0 0 0 255 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52227 1 0 33 0 1 0 0 1 1 5,265 acaweb_fx_integer.pg_toast.pg_toast_52119 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.relevance_bigmovement_results_old 1 0 49 0 0 0 0 1 0 245 acaweb_fx_integer.public.stats_hrs_tmp 1 0 30 0 0 0 752 1 0 233 acaweb_fx_integer.public.stats_chartpatterns_complete_quantities 1 0 36 0 0 0 129 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52405 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.stats_hrsapproaches_summary_by_groups_2d 1 0 65 0 1 0 0 1 1 2,149 acaweb_fx_integer.public.nd_broker_test 1 0 29 0 0 0 0 1 0 233 acaweb_fx_integer.public.brokerconfig 1 0 60 0 0 0 0 1 0 233 acaweb_fx_integer.public.timezones 1 0 17 0 0 0 0 1 0 233 acaweb_fx_integer.public.fxdd_users 1 0 53 0 1 0 0 1 1 7,193 acaweb_fx_integer.public.patternresultsrelevance_types 1 0 12 0 0 0 0 1 0 188 acaweb_fx_integer.public.timezones_swedish 1 0 13 0 0 0 0 1 0 233 acaweb_fx.pg_catalog.pg_depend 1 1 415 0 100 0 59 189 88 380,908 acaweb_fx_integer.public.symbolchanges 1 0 32 0 0 0 0 1 0 233 acaweb_fx_integer.public.powerstats_consecutivebulldistribution 1 0 35 0 0 0 0 1 0 233 acaweb_fx_integer.public.patterns 1 0 54 0 0 0 0 1 0 233 acaweb_fx.public.relevance_keylevels_results 1 1 3,227 0 223 2 108 511 207 968,023 acaweb_fx_integer.pg_toast.pg_toast_52724 1 0 32 0 0 0 0 1 0 188 acaweb_fx_integer.public.latestspruntime 1 0 11 0 0 0 2,083 1 0 233 acaweb_fx_integer.public.nd_test 1 0 14 0 0 0 0 1 0 233 acaweb_fx_integer.public.cpsearches 1 0 47 0 0 0 24,617 1 0 233 acaweb_fx_integer.public.autochartist_resultchanges 1 0 30 0 0 0 404 1 0 233 acaweb_fx_integer.public.tmp_admiralusers 1 0 10 0 1 0 91 1 1 3,553 acaweb_fx_integer.public.exchanges_symbol_trading_times 1 0 56 0 0 0 0 1 0 221 acaweb_fx_integer.public.mt4datafeederrors 1 0 88 0 0 0 5,850 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52386 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.keylevelssearches 1 0 31 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52313 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.stats_tmp 1 0 30 0 0 0 812 1 0 233 acaweb_fx_integer.public.relevance_keylevels_results_old 1 0 127 0 0 0 3,389 1 0 233 acaweb_fx_integer.public.symbolgroup 1 0 63 0 0 0 948 1 0 233 acaweb_fx.public.relevance_autochartist_results 1 1 3,004 0 157 0 246 345 138 640,492 acaweb_fx_integer.pg_toast.pg_toast_53396 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_52357 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.brokersymbollist 1 0 63 0 0 0 590 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52899 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.fibsearches 1 0 28 0 0 0 9,557 1 0 233 acaweb_fx_integer.public.futures_brokerinstrumentmapping 1 0 35 0 0 0 0 1 0 233 acaweb_fx_integer.public.powerstats_consecutivebeardistribution 1 0 34 0 0 0 0 1 0 233 acaweb_fx_integer.public.stats_success 1 0 92 0 0 0 572,480 1 0 245 acaweb_fx_integer.public.japsticks_patterns 1 0 50 0 0 0 0 1 0 245 acaweb_fx_integer.public.fibonacci_results_relevance 1 0 83 0 0 0 22,250 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52214 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_53283 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.public.downloadersymbolsettings_rest 1 0 27 0 0 0 169 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_52752 1 0 32 0 0 0 0 1 0 188 acaweb_fx_integer.public.t15_fps 1 0 92 0 0 0 0 1 0 233 acaweb_fx_integer.public.powerstats_avgmovementintervalperday 1 0 33 0 0 0 0 1 0 233 acaweb_fx_integer.public.geoip 1 0 12 0 0 0 1,230 1 0 233 acaweb_fx_integer.public.symbolsconfig 1 0 28 0 0 0 0 1 0 233 acaweb_fx_integer.public.users 1 0 110 0 1 0 8,448 1 1 5,493 acaweb_fx_integer.pg_toast.pg_toast_52255 1 0 33 0 0 0 0 1 0 188 Total 318 31 37,898 14,712 2,128 2 1,110,607 11,447 2,821 13,422,790 Tuples removed per table
Key values
- public.solr_relevance_old (41040) Main table with removed tuples on database acaweb_fx
- 50487 tuples Total removed
Index Tuples Pages Table Vacuums scans removed remain not yet removable removed remain acaweb_fx.public.solr_relevance_old 17 16 41,040 97,065 4,152 0 2,984 acaweb_fx.pg_catalog.pg_attribute 3 3 4,907 32,251 0 20 781 acaweb_fx.pg_catalog.pg_depend 1 1 1,008 14,393 0 0 144 acaweb_fx.public.relevance_keylevels_results 1 1 948 11,379 0 0 279 acaweb_fx.pg_catalog.pg_statistic 1 1 763 3,846 0 0 1,194 acaweb_fx.public.relevance_autochartist_results 1 1 610 7,224 0 0 380 acaweb_fx.pg_catalog.pg_type 2 2 596 2,910 0 0 87 acaweb_fx.pg_catalog.pg_class 2 2 193 3,317 5 0 300 acaweb_fx.public.datafeeds_latestrun 3 0 166 42 0 0 48 acaweb_fx.public.relevance_fibonacci_results 1 1 132 1,263 0 0 102 acaweb_fx.pg_toast.pg_toast_2619 1 1 61 163 0 3 45 acaweb_fx.public.latest_t15_candle_view 1 1 58 12 0 0 1 acaweb_fx.pg_catalog.pg_index 1 1 5 815 0 0 22 acaweb_fx_integer.public.powerstats_hourly_test 1 0 0 378,240 0 0 2,785 acaweb_fx_integer.pg_toast.pg_toast_51893 1 0 0 0 0 0 0 acaweb_fx_integer.public.datafeedinstrumentmappingconfig 1 0 0 23 0 0 1 acaweb_fx_integer.pg_toast.pg_toast_52887 1 0 0 0 0 0 0 acaweb_fx_integer.public.marketreportsubscriptions 1 0 0 12 0 0 1 acaweb_fx_integer.public.performancestats_satellites 1 0 0 2 0 0 1 acaweb_fx_integer.pg_toast.pg_toast_52482 1 0 0 0 0 0 0 acaweb_fx_integer.public.ss_marketreportresources 1 0 0 10,164 0 0 205 acaweb_fx_integer.pg_toast.pg_toast_51973 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52096 1 0 0 0 0 0 0 acaweb_fx_integer.public.filters 1 0 0 2,425,868 0 0 30,418 acaweb_fx_integer.public.powerstats_trumpet_test 1 0 0 5,305,156 0 0 113,673 acaweb_fx_integer.public.timezones_chinese_simplified 1 0 0 405 0 0 3 acaweb_fx_integer.public.hve_correlating_signals 1 0 0 2,391 0 0 36 acaweb_fx_integer.pg_toast.pg_toast_52059 1 0 0 0 0 0 0 acaweb_fx_integer.public.datafeedstimetable 1 0 0 486 0 0 7 acaweb_fx_integer.public.datafeeds_kinesis_run 1 0 0 8 0 0 1 acaweb_fx_integer.public.translation_groups 1 0 0 0 0 0 0 acaweb_fx_integer.public.timezones_italian 1 0 0 405 0 0 3 acaweb_fx_integer.public.intervals 1 0 0 6 0 0 1 acaweb_fx_integer.public.keylevels_results_relevance 1 0 0 742,142 0 0 22,246 acaweb_fx_integer.public.currencypips 1 0 0 272 0 0 2 acaweb_fx_integer.public.timezones_chinese_traditional 1 0 0 405 0 0 3 acaweb_fx_integer.public.market_report_results 1 0 0 0 0 0 0 acaweb_fx_integer.public.timezones_korean 1 0 0 405 0 0 4 acaweb_fx_integer.public.timezones_polish 1 0 0 405 0 0 3 acaweb_fx_integer.pg_toast.pg_toast_52864 1 0 0 0 0 0 0 acaweb_fx_integer.public.stats_fibonaccipatterns_emerging_quantities 1 0 0 39,706 0 0 355 acaweb_fx_integer.public.brokermt4authservers 1 0 0 0 0 0 0 acaweb_fx_integer.public.brokergroups 1 0 0 3,942 0 0 26 acaweb_fx_integer.pg_toast.pg_toast_53367 1 0 0 0 0 0 0 acaweb_fx_integer.public.hrssearches 1 0 0 121,997 0 0 4,641 acaweb_fx_integer.public.satelliteauthentication 1 0 0 15 0 0 1 acaweb_fx_integer.pg_toast.pg_toast_52417 1 0 0 0 0 0 0 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acaweb_fx_integer.pg_toast.pg_toast_52329 1 0 0 0 0 0 0 acaweb_fx_integer.public.language_locales 1 0 0 2 0 0 1 acaweb_fx_integer.public.broker_mt4group 1 0 0 1,518 0 0 19 acaweb_fx_integer.public.instruments 1 0 0 9,399 0 0 95 acaweb_fx_integer.public.autochartist_symbolupdates_20191017a 1 0 0 91,620 0 0 627 acaweb_fx_integer.public.timezones_german 1 0 0 405 0 0 3 acaweb_fx_integer.public.whatshot_archive_probability 1 0 0 0 0 0 0 acaweb_fx_integer.public.intervalperiods 1 0 0 175 0 0 2 acaweb_fx_integer.public.emailtemplate 1 0 0 0 0 0 0 acaweb_fx_integer.public.stats_summary_emerging_2d 1 0 0 0 0 0 0 acaweb_fx_integer.public.disableddelete 1 0 0 28 0 0 1 acaweb_fx_integer.public.brokerdatafeedinstrumentlist 1 0 0 28,455 0 0 157 acaweb_fx_integer.public.powerstats 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53353 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52130 1 0 0 0 0 0 0 acaweb_fx_integer.public.translation_keys 1 0 0 1 0 0 1 acaweb_fx_integer.public.patternresults_symbolupdates 1 0 0 19,185 0 0 108 acaweb_fx_integer.public.t30_fps 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52738 1 0 0 0 0 0 0 acaweb_fx_integer.public.sa_hist_highesthigh60 1 0 0 0 0 0 0 acaweb_fx_integer.public.stats_fibonaccipatterns_complete_quantities 1 0 0 8,346 0 0 75 acaweb_fx_integer.pg_toast.pg_toast_53333 1 0 0 0 0 0 0 acaweb_fx_integer.public.sa_correlationsymbols 1 0 0 0 0 0 0 acaweb_fx_integer.public.stats_symbols_by_groups 1 0 0 82,586 0 0 366 acaweb_fx_integer.pg_toast.pg_toast_52574 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53021 1 0 0 0 0 0 0 acaweb_fx_integer.public.v_serverdays 1 0 0 1 0 0 1 acaweb_fx_integer.pg_toast.pg_toast_51938 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_51956 1 0 0 0 0 0 0 acaweb_fx_integer.public.timezones_dutch 1 0 0 405 0 0 3 acaweb_fx_integer.public.t15_hve 1 0 0 9,739,800 0 0 129,865 acaweb_fx_integer.public.sa_hist_correlation 1 0 0 0 0 0 0 acaweb_fx_integer.public.translation_groupings 1 0 0 0 0 0 0 acaweb_fx_integer.public.positionserrors 1 0 0 0 0 0 0 acaweb_fx_integer.public.whatshot_archive 1 0 0 0 0 0 0 acaweb_fx_integer.public.groups 1 0 0 4,155 0 0 109 acaweb_fx_integer.public.futures_symbol_codes 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52745 1 0 0 0 0 0 0 acaweb_fx_integer.public.v_datafeedinstrumentid 1 0 0 1 0 0 1 acaweb_fx_integer.public.splits 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52377 1 0 0 0 0 0 0 acaweb_fx_integer.public.timezones_portuguese 1 0 0 405 0 0 3 acaweb_fx_integer.public.timezones_russian 1 0 0 405 0 0 4 acaweb_fx_integer.archive.whatshot_correlatingsignals 1 0 0 0 0 0 0 acaweb_fx_integer.public.autochartist_symbolupdates_new 1 0 0 0 0 0 0 acaweb_fx_integer.public.futures_downloadersymbol 1 0 0 253 0 0 2 acaweb_fx_integer.pg_toast.pg_toast_52848 1 0 0 0 0 0 0 acaweb_fx_integer.public.symbols 1 0 0 104,854 0 0 1,923 acaweb_fx_integer.public.symbols_preprocessed_newsymbols 1 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acaweb_fx_integer.public.hrspatterns 1 0 0 2 0 0 1 acaweb_fx_integer.pg_toast.pg_toast_52424 1 0 0 0 0 0 0 acaweb_fx_integer.public.ac_emerging_unique 1 0 0 317,114 0 0 1,408 acaweb_fx_integer.public.timezones_luxemburg 1 0 0 405 0 0 3 acaweb_fx_integer.public.relevance_highesthighandlowestlow_results 1 0 0 0 0 0 0 acaweb_fx_integer.public.usage_latestlogin 1 0 0 161,361 0 0 1,212 acaweb_fx_integer.public.timezones_japanese 1 0 0 405 0 0 4 acaweb_fx_integer.public.hrs_results 1 0 0 0 0 0 0 acaweb_fx_integer.public.recognitionengineconfig 1 0 0 83 0 0 2 acaweb_fx_integer.pg_toast.pg_toast_52780 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52731 1 0 0 0 0 0 0 acaweb_fx_integer.public.powerstats_consecutivebearcandles 1 0 0 0 0 0 0 acaweb_fx_integer.public.datafeedsymbols 1 0 0 66,636 0 0 363 acaweb_fx_integer.public.futures_symbol_groups 1 0 0 0 0 0 0 acaweb_fx_integer.public.broker 1 0 0 730 0 0 26 acaweb_fx_integer.public.t5 1 0 0 337,409 0 0 3,482 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acaweb_fx_integer.pg_toast.pg_toast_53311 1 0 0 0 0 0 0 acaweb_fx_integer.public.fibonaccipatterns 1 0 0 6 0 0 1 acaweb_fx_integer.public.best5trades 1 0 0 0 0 0 0 acaweb_fx_integer.public.datafeedchecks 1 0 0 24 0 0 1 acaweb_fx_integer.public.usertimezones 1 0 0 0 0 0 0 acaweb_fx_integer.public.sa_analysistypesintervals 1 0 0 13 0 0 1 acaweb_fx_integer.pg_toast.pg_toast_53104 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52583 1 0 0 0 0 0 0 acaweb_fx_integer.public.positions 1 0 0 0 0 0 0 acaweb_fx_integer.public.futures_month_code 1 0 0 12 0 0 1 acaweb_fx_integer.pg_toast.pg_toast_52322 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_51999 1 0 0 0 0 0 0 acaweb_fx_integer.public.timezones_french 1 0 0 405 0 0 3 acaweb_fx_integer.public.timezones_hungarian 1 0 0 405 0 0 3 acaweb_fx_integer.public.usage_history 1 0 0 0 0 0 0 acaweb_fx_integer.public.stats_summary_by_groups_2d 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53297 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52879 1 0 0 0 0 0 0 acaweb_fx_integer.public.relevance_fibonacci_results_old 1 0 0 110,441 0 0 3,495 acaweb_fx_integer.public.datafeedstimetable_history 1 0 0 100,988 0 0 1,119 acaweb_fx_integer.pg_toast.pg_toast_53323 1 0 0 0 0 0 0 acaweb_fx_integer.public.powerstats_intervals 1 0 0 480 0 0 3 acaweb_fx_integer.public.t15_stock_split 1 0 0 16,615 0 0 223 acaweb_fx_integer.pg_toast.pg_toast_52873 1 0 0 0 0 0 0 acaweb_fx_integer.public.broker_clones 1 0 0 2 0 0 1 acaweb_fx_integer.pg_toast.pg_toast_52916 1 0 0 0 0 0 0 acaweb_fx_integer.public.highesthighandlowestlow_results 1 0 0 0 0 0 0 acaweb_fx_integer.public.broker_datafeeds 1 0 0 277 0 0 3 acaweb_fx_integer.public.fxdd 1 0 0 20 0 0 1 acaweb_fx_integer.public.exchanges 1 0 0 128 0 0 3 acaweb_fx_integer.public.timezones_indonesian 1 0 0 426 0 0 3 acaweb_fx_integer.public.performancestats_latestrun 1 0 0 1 0 0 1 acaweb_fx_integer.pg_toast.pg_toast_51984 1 0 0 0 0 0 0 acaweb_fx_integer.public.translationsmap 1 0 0 0 0 0 0 acaweb_fx_integer.public.timezones_romanian 1 0 0 426 0 0 3 acaweb_fx_integer.public.t1440_fps 1 0 0 0 0 0 0 acaweb_fx_integer.public.brokerinstrumentmap 1 0 0 36,290 0 0 256 acaweb_fx_integer.pg_toast.pg_toast_52227 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52119 1 0 0 0 0 0 0 acaweb_fx_integer.public.relevance_bigmovement_results_old 1 0 0 1,922 0 0 24 acaweb_fx_integer.public.stats_hrs_tmp 1 0 0 101,735 0 0 753 acaweb_fx_integer.public.stats_chartpatterns_complete_quantities 1 0 0 15,018 0 0 130 acaweb_fx_integer.pg_toast.pg_toast_52405 1 0 0 0 0 0 0 acaweb_fx_integer.public.stats_hrsapproaches_summary_by_groups_2d 1 0 0 0 0 0 0 acaweb_fx_integer.public.nd_broker_test 1 0 0 0 0 0 0 acaweb_fx_integer.public.brokerconfig 1 0 0 563 0 0 28 acaweb_fx_integer.public.timezones 1 0 0 426 0 0 6 acaweb_fx_integer.public.fxdd_users 1 0 0 1,645 0 0 23 acaweb_fx_integer.public.patternresultsrelevance_types 1 0 0 6 0 0 1 acaweb_fx_integer.public.timezones_swedish 1 0 0 405 0 0 3 acaweb_fx_integer.public.symbolchanges 1 0 0 0 0 0 0 acaweb_fx_integer.public.powerstats_consecutivebulldistribution 1 0 0 0 0 0 0 acaweb_fx_integer.public.patterns 1 0 0 16 0 0 1 acaweb_fx_integer.pg_toast.pg_toast_52724 1 0 0 0 0 0 0 acaweb_fx_integer.public.latestspruntime 1 0 0 240,286 0 0 2,084 acaweb_fx_integer.public.nd_test 1 0 0 11 0 0 1 acaweb_fx_integer.public.cpsearches 1 0 0 559,839 0 0 24,618 acaweb_fx_integer.public.autochartist_resultchanges 1 0 0 74,527 0 0 405 acaweb_fx_integer.public.tmp_admiralusers 1 0 0 12,095 0 0 92 acaweb_fx_integer.public.exchanges_symbol_trading_times 1 0 0 0 0 0 0 acaweb_fx_integer.public.mt4datafeederrors 1 0 0 361,528 0 0 5,851 acaweb_fx_integer.pg_toast.pg_toast_52386 1 0 0 0 0 0 0 acaweb_fx_integer.public.keylevelssearches 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52313 1 0 0 0 0 0 0 acaweb_fx_integer.public.stats_tmp 1 0 0 110,224 0 0 813 acaweb_fx_integer.public.relevance_keylevels_results_old 1 0 0 204,630 0 0 3,390 acaweb_fx_integer.public.symbolgroup 1 0 0 202,407 0 0 949 acaweb_fx_integer.pg_toast.pg_toast_53396 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52357 1 0 0 0 0 0 0 acaweb_fx_integer.public.brokersymbollist 1 0 0 131,224 0 0 591 acaweb_fx_integer.pg_toast.pg_toast_52899 1 0 0 0 0 0 0 acaweb_fx_integer.public.fibsearches 1 0 0 252,645 0 0 9,558 acaweb_fx_integer.public.futures_brokerinstrumentmapping 1 0 0 0 0 0 0 acaweb_fx_integer.public.powerstats_consecutivebeardistribution 1 0 0 0 0 0 0 acaweb_fx_integer.public.stats_success 1 0 0 10,066,160 0 0 572,481 acaweb_fx_integer.public.japsticks_patterns 1 0 0 0 0 0 0 acaweb_fx_integer.public.fibonacci_results_relevance 1 0 0 648,061 0 0 22,251 acaweb_fx_integer.pg_toast.pg_toast_52214 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53283 1 0 0 0 0 0 0 acaweb_fx_integer.public.downloadersymbolsettings_rest 1 0 0 16,399 0 0 170 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Key values
- pg_catalog.pg_attribute (20) Main table with removed pages on database acaweb_fx
- 23 pages Total removed
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acaweb_fx_integer.public.datafeedstimetable 1 0 0 0 acaweb_fx.public.solr_relevance_old 17 16 41040 0 acaweb_fx_integer.public.datafeeds_kinesis_run 1 0 0 0 acaweb_fx_integer.public.translation_groups 1 0 0 0 acaweb_fx_integer.public.timezones_italian 1 0 0 0 acaweb_fx_integer.public.intervals 1 0 0 0 acaweb_fx_integer.public.keylevels_results_relevance 1 0 0 0 acaweb_fx_integer.public.currencypips 1 0 0 0 acaweb_fx.public.latest_t15_candle_view 1 1 58 0 acaweb_fx_integer.public.timezones_chinese_traditional 1 0 0 0 acaweb_fx_integer.public.market_report_results 1 0 0 0 acaweb_fx_integer.public.timezones_korean 1 0 0 0 acaweb_fx_integer.public.timezones_polish 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52864 1 0 0 0 acaweb_fx_integer.public.stats_fibonaccipatterns_emerging_quantities 1 0 0 0 acaweb_fx_integer.public.brokermt4authservers 1 0 0 0 acaweb_fx_integer.public.brokergroups 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53367 1 0 0 0 acaweb_fx_integer.public.hrssearches 1 0 0 0 acaweb_fx_integer.public.satelliteauthentication 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52417 1 0 0 0 acaweb_fx_integer.public.datafeedinstruments 1 0 0 0 acaweb_fx_integer.public.timezones_arabic 1 0 0 0 acaweb_fx_integer.public.timezones_greek 1 0 0 0 acaweb_fx_integer.public.users_old 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52489 1 0 0 0 acaweb_fx_integer.public.brokerusers 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52275 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52564 1 0 0 0 acaweb_fx_integer.public.satelliteservers 1 0 0 0 acaweb_fx_integer.public.keylevels_patternclasses 1 0 0 0 acaweb_fx_integer.public.relevance_autochartist_results_old 1 0 0 0 acaweb_fx_integer.public.fxdd_adminusers 1 0 0 0 acaweb_fx_integer.public.timezones_spanish 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52235 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_51809 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52206 1 0 0 0 acaweb_fx_integer.public.timezones_turkish 1 0 0 0 acaweb_fx_integer.public.t60_stock_split 1 0 0 0 acaweb_fx_integer.public.keylevelspatterns 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52759 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52020 1 0 0 0 acaweb_fx_integer.public.latestquotes 1 0 0 0 acaweb_fx_integer.public.sa_analysistypes 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52773 1 0 0 0 acaweb_fx_integer.public.solr_groupnames 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52796 1 0 0 0 acaweb_fx_integer.public.usersessions 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52171 1 0 0 0 acaweb_fx_integer.public.datafeed_restarter_events 1 0 0 0 acaweb_fx_integer.public.symbolupdatetime 1 0 0 0 acaweb_fx_integer.public.t1440_stock_split 1 0 0 0 acaweb_fx_integer.public.broker_powerstats 1 0 0 0 acaweb_fx_integer.public.cachedump 1 0 0 0 acaweb_fx_integer.public.translation_types 1 0 0 0 acaweb_fx_integer.public.t30_stock_split 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53291 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52349 1 0 0 0 acaweb_fx_integer.public.whatshot_correlatingsignals 1 0 0 0 acaweb_fx_integer.public.t60_fps 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53317 1 0 0 0 acaweb_fx_integer.public.exchangesisodata 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53303 1 0 0 0 acaweb_fx_integer.public.futures_symbol_frontmonth 1 0 0 0 acaweb_fx_integer.public.t240_fps 1 0 0 0 acaweb_fx_integer.public.relevance_japsticks_results 1 0 0 0 acaweb_fx_integer.public.relevance_correlation_results 1 0 0 0 acaweb_fx_integer.public.researchreports 1 0 0 0 acaweb_fx_integer.public.japsticks_results 1 0 0 0 acaweb_fx_integer.public.powerstats_avgmovementperhour 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53008 1 0 0 0 acaweb_fx_integer.public.whatshot_archive_correlatingsignals 1 0 0 0 acaweb_fx_integer.public.translation_placeholder_examples 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53433 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52502 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52087 1 0 0 0 acaweb_fx_integer.public.powerstats_consecutivebullcandles 1 0 0 0 acaweb_fx_integer.public.symbolexpectedpatterncount 1 0 0 0 acaweb_fx_integer.public.whatshot_groups 1 0 0 0 acaweb_fx_integer.public.whatshot_pref 1 0 0 0 acaweb_fx_integer.public.stats_chartpatterns_emerging_quantities 1 0 0 0 acaweb_fx_integer.public.futures_rolled_over_futures 1 0 0 0 acaweb_fx_integer.public.futures_brokersymbollist 1 0 0 0 acaweb_fx_integer.public.translations_history 1 0 0 0 acaweb_fx_integer.public.powerstats_avgmovement 1 0 0 0 acaweb_fx_integer.public.powerstats_daily_test 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52329 1 0 0 0 acaweb_fx_integer.public.language_locales 1 0 0 0 acaweb_fx_integer.public.broker_mt4group 1 0 0 0 acaweb_fx_integer.public.instruments 1 0 0 0 acaweb_fx_integer.public.autochartist_symbolupdates_20191017a 1 0 0 0 acaweb_fx_integer.public.timezones_german 1 0 0 0 acaweb_fx_integer.public.whatshot_archive_probability 1 0 0 0 acaweb_fx.pg_catalog.pg_class 2 2 193 0 acaweb_fx_integer.public.intervalperiods 1 0 0 0 acaweb_fx_integer.public.emailtemplate 1 0 0 0 acaweb_fx_integer.public.stats_summary_emerging_2d 1 0 0 0 acaweb_fx_integer.public.disableddelete 1 0 0 0 acaweb_fx_integer.public.brokerdatafeedinstrumentlist 1 0 0 0 acaweb_fx_integer.public.powerstats 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53353 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52130 1 0 0 0 acaweb_fx_integer.public.translation_keys 1 0 0 0 acaweb_fx_integer.public.patternresults_symbolupdates 1 0 0 0 acaweb_fx.public.datafeeds_latestrun 3 0 166 0 acaweb_fx_integer.public.t30_fps 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52738 1 0 0 0 acaweb_fx_integer.public.sa_hist_highesthigh60 1 0 0 0 acaweb_fx_integer.public.stats_fibonaccipatterns_complete_quantities 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53333 1 0 0 0 acaweb_fx_integer.public.sa_correlationsymbols 1 0 0 0 acaweb_fx_integer.public.stats_symbols_by_groups 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52574 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53021 1 0 0 0 acaweb_fx_integer.public.v_serverdays 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_51938 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_51956 1 0 0 0 acaweb_fx_integer.public.timezones_dutch 1 0 0 0 acaweb_fx_integer.public.t15_hve 1 0 0 0 acaweb_fx_integer.public.sa_hist_correlation 1 0 0 0 acaweb_fx.pg_catalog.pg_statistic 1 1 763 0 acaweb_fx_integer.public.translation_groupings 1 0 0 0 acaweb_fx_integer.public.positionserrors 1 0 0 0 acaweb_fx_integer.public.whatshot_archive 1 0 0 0 acaweb_fx_integer.public.groups 1 0 0 0 acaweb_fx_integer.public.futures_symbol_codes 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52745 1 0 0 0 acaweb_fx_integer.public.v_datafeedinstrumentid 1 0 0 0 acaweb_fx_integer.public.splits 1 0 0 0 acaweb_fx.public.relevance_fibonacci_results 1 1 132 0 acaweb_fx_integer.pg_toast.pg_toast_52377 1 0 0 0 acaweb_fx_integer.public.timezones_portuguese 1 0 0 0 acaweb_fx_integer.public.timezones_russian 1 0 0 0 acaweb_fx_integer.archive.whatshot_correlatingsignals 1 0 0 0 acaweb_fx_integer.public.autochartist_symbolupdates_new 1 0 0 0 acaweb_fx_integer.public.futures_downloadersymbol 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52848 1 0 0 0 acaweb_fx_integer.public.symbols 1 0 0 0 acaweb_fx_integer.public.symbols_preprocessed_newsymbols 1 0 0 0 acaweb_fx_integer.public.futures_symbols 1 0 0 0 acaweb_fx_integer.public.ws_symbols_temp 1 0 0 0 acaweb_fx_integer.public.stats_summary_emerging 1 0 0 0 acaweb_fx_integer.public.v_frontmonth_downloadersymbol 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52509 1 0 0 0 acaweb_fx_integer.public.timezones_farsi 1 0 0 0 acaweb_fx_integer.public.sa_hist_highesthigh 1 0 0 0 acaweb_fx_integer.public.latestbrokerresults 1 0 0 0 acaweb_fx_integer.public.v_statsid 1 0 0 0 acaweb_fx_integer.public.dataversion 1 0 0 0 acaweb_fx_integer.public.genericsearches 1 0 0 0 acaweb_fx_integer.public.futures_symbol_templates 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52467 1 0 0 0 acaweb_fx_integer.public.skrilltransactions 1 0 0 0 acaweb_fx_integer.public.t240_stock_split 1 0 0 0 acaweb_fx_integer.public.powerstats_avgmovementperdayofweek 1 0 0 0 acaweb_fx_integer.public.hrspatterns 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52424 1 0 0 0 acaweb_fx_integer.public.ac_emerging_unique 1 0 0 0 acaweb_fx_integer.public.timezones_luxemburg 1 0 0 0 acaweb_fx_integer.public.relevance_highesthighandlowestlow_results 1 0 0 0 acaweb_fx_integer.public.usage_latestlogin 1 0 0 0 acaweb_fx_integer.public.timezones_japanese 1 0 0 0 acaweb_fx_integer.public.hrs_results 1 0 0 0 acaweb_fx_integer.public.recognitionengineconfig 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52780 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52731 1 0 0 0 acaweb_fx_integer.public.powerstats_consecutivebearcandles 1 0 0 0 acaweb_fx_integer.public.datafeedsymbols 1 0 0 0 acaweb_fx_integer.public.futures_symbol_groups 1 0 0 0 acaweb_fx_integer.public.broker 1 0 0 0 acaweb_fx.pg_catalog.pg_index 1 1 5 0 acaweb_fx_integer.public.t5 1 0 0 0 acaweb_fx_integer.public.stats_hrs_summary_by_groups_2d 1 0 0 0 acaweb_fx_integer.public.correlation_results 1 0 0 0 acaweb_fx_integer.public.broker_fibonaccipatterns 1 0 0 0 acaweb_fx_integer.public.translations 1 0 0 0 acaweb_fx_integer.public.relevance_autochartist_results_hve 1 0 0 0 acaweb_fx_integer.public.autochartist_latestrun 1 0 0 0 acaweb_fx_integer.public.downloadersymbolsettings 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52262 1 0 0 0 acaweb_fx_integer.public.autochartist_datareload 1 0 0 0 acaweb_fx_integer.public.iqfeedsymbollist_test 1 0 0 0 acaweb_fx_integer.public.organisationexchangepermissions 1 0 0 0 acaweb_fx_integer.public.tmp_nd 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52293 1 0 0 0 acaweb_fx_integer.public.stats_symbols 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52247 1 0 0 0 acaweb_fx_integer.public.spcall 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53311 1 0 0 0 acaweb_fx_integer.public.fibonaccipatterns 1 0 0 0 acaweb_fx_integer.public.best5trades 1 0 0 0 acaweb_fx_integer.public.datafeedchecks 1 0 0 0 acaweb_fx_integer.public.usertimezones 1 0 0 0 acaweb_fx_integer.public.sa_analysistypesintervals 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53104 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52583 1 0 0 0 acaweb_fx_integer.public.positions 1 0 0 0 acaweb_fx_integer.public.futures_month_code 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52322 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_51999 1 0 0 0 acaweb_fx_integer.public.timezones_french 1 0 0 0 acaweb_fx.pg_catalog.pg_type 2 2 596 0 acaweb_fx_integer.public.timezones_hungarian 1 0 0 0 acaweb_fx_integer.public.usage_history 1 0 0 0 acaweb_fx_integer.public.stats_summary_by_groups_2d 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53297 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52879 1 0 0 0 acaweb_fx_integer.public.relevance_fibonacci_results_old 1 0 0 0 acaweb_fx_integer.public.datafeedstimetable_history 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53323 1 0 0 0 acaweb_fx_integer.public.powerstats_intervals 1 0 0 0 acaweb_fx_integer.public.t15_stock_split 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52873 1 0 0 0 acaweb_fx_integer.public.broker_clones 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52916 1 0 0 0 acaweb_fx_integer.public.highesthighandlowestlow_results 1 0 0 0 acaweb_fx_integer.public.broker_datafeeds 1 0 0 0 acaweb_fx_integer.public.fxdd 1 0 0 0 acaweb_fx_integer.public.exchanges 1 0 0 0 acaweb_fx_integer.public.timezones_indonesian 1 0 0 0 acaweb_fx_integer.public.performancestats_latestrun 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_51984 1 0 0 0 acaweb_fx_integer.public.translationsmap 1 0 0 0 acaweb_fx_integer.public.timezones_romanian 1 0 0 0 acaweb_fx_integer.public.t1440_fps 1 0 0 0 acaweb_fx_integer.public.brokerinstrumentmap 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52227 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52119 1 0 0 0 acaweb_fx_integer.public.relevance_bigmovement_results_old 1 0 0 0 acaweb_fx_integer.public.stats_hrs_tmp 1 0 0 0 acaweb_fx_integer.public.stats_chartpatterns_complete_quantities 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52405 1 0 0 0 acaweb_fx_integer.public.stats_hrsapproaches_summary_by_groups_2d 1 0 0 0 acaweb_fx_integer.public.nd_broker_test 1 0 0 0 acaweb_fx_integer.public.brokerconfig 1 0 0 0 acaweb_fx_integer.public.timezones 1 0 0 0 acaweb_fx_integer.public.fxdd_users 1 0 0 0 acaweb_fx_integer.public.patternresultsrelevance_types 1 0 0 0 acaweb_fx_integer.public.timezones_swedish 1 0 0 0 acaweb_fx.pg_catalog.pg_depend 1 1 1008 0 acaweb_fx_integer.public.symbolchanges 1 0 0 0 acaweb_fx_integer.public.powerstats_consecutivebulldistribution 1 0 0 0 acaweb_fx_integer.public.patterns 1 0 0 0 acaweb_fx.public.relevance_keylevels_results 1 1 948 0 acaweb_fx_integer.pg_toast.pg_toast_52724 1 0 0 0 acaweb_fx_integer.public.latestspruntime 1 0 0 0 acaweb_fx_integer.public.nd_test 1 0 0 0 acaweb_fx_integer.public.cpsearches 1 0 0 0 acaweb_fx_integer.public.autochartist_resultchanges 1 0 0 0 acaweb_fx_integer.public.tmp_admiralusers 1 0 0 0 acaweb_fx_integer.public.exchanges_symbol_trading_times 1 0 0 0 acaweb_fx_integer.public.mt4datafeederrors 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52386 1 0 0 0 acaweb_fx_integer.public.keylevelssearches 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52313 1 0 0 0 acaweb_fx_integer.public.stats_tmp 1 0 0 0 acaweb_fx_integer.public.relevance_keylevels_results_old 1 0 0 0 acaweb_fx_integer.public.symbolgroup 1 0 0 0 acaweb_fx.public.relevance_autochartist_results 1 1 610 0 acaweb_fx_integer.pg_toast.pg_toast_53396 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52357 1 0 0 0 acaweb_fx_integer.public.brokersymbollist 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52899 1 0 0 0 acaweb_fx_integer.public.fibsearches 1 0 0 0 acaweb_fx_integer.public.futures_brokerinstrumentmapping 1 0 0 0 acaweb_fx_integer.public.powerstats_consecutivebeardistribution 1 0 0 0 acaweb_fx_integer.public.stats_success 1 0 0 0 acaweb_fx_integer.public.japsticks_patterns 1 0 0 0 acaweb_fx_integer.public.fibonacci_results_relevance 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52214 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_53283 1 0 0 0 acaweb_fx_integer.public.downloadersymbolsettings_rest 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52752 1 0 0 0 acaweb_fx_integer.public.t15_fps 1 0 0 0 acaweb_fx_integer.public.powerstats_avgmovementintervalperday 1 0 0 0 acaweb_fx_integer.public.geoip 1 0 0 0 acaweb_fx_integer.public.symbolsconfig 1 0 0 0 acaweb_fx_integer.public.users 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_52255 1 0 0 0 Total 318 31 50,487 23 Autovacuum Activity
↑ Back to the top of the Autovacuum Activity tableDay Hour VACUUMs ANALYZEs Mar 22 16 318 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
- 21,113 Total read queries
- 14,288 Total write queries
Queries by database
Key values
- unknown Main database
- 75,162 Requests
- 1h16m6s (unknown)
- Main time consuming database
Database Request type Count Duration acaweb_fx Total 881 0ms copy from 80 0ms copy to 26 0ms cte 100 0ms ddl 16 0ms delete 16 0ms others 212 0ms select 64 0ms tcl 332 0ms update 35 0ms socialmedia Total 61 0ms select 61 0ms unknown Total 75,162 1h16m6s copy from 16 0ms cte 1,854 0ms insert 11,041 0ms others 2,557 0ms select 20,988 0ms tcl 332 0ms update 440 0ms Queries by user
Key values
- unknown Main user
- 75,162 Requests
User Request type Count Duration postgres Total 942 0ms copy from 80 0ms copy to 26 0ms cte 100 0ms ddl 16 0ms delete 16 0ms others 212 0ms select 125 0ms tcl 332 0ms update 35 0ms unknown Total 75,162 1h16m6s copy from 16 0ms cte 1,854 0ms insert 11,041 0ms others 2,557 0ms select 20,988 0ms tcl 332 0ms update 440 0ms Duration by user
Key values
- 1h16m6s (unknown) Main time consuming user
User Request type Count Duration postgres Total 942 0ms copy from 80 0ms copy to 26 0ms cte 100 0ms ddl 16 0ms delete 16 0ms others 212 0ms select 125 0ms tcl 332 0ms update 35 0ms unknown Total 75,162 1h16m6s copy from 16 0ms cte 1,854 0ms insert 11,041 0ms others 2,557 0ms select 20,988 0ms tcl 332 0ms update 440 0ms Queries by host
Key values
- unknown Main host
- 76,104 Requests
- 1h16m6s (unknown)
- Main time consuming host
Queries by application
Key values
- unknown Main application
- 75,763 Requests
- 1h16m6s (unknown)
- Main time consuming application
Number of cancelled queries
Key values
- 1 per second Cancelled query Peak
- 2026-03-22 16:00:43 Date
Number of cancelled queries (5 minutes period)
NO DATASET
-
Top Queries
Histogram of query times
Key values
- 26,046 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 2 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 16 2 0ms 0ms 2 0ms 130 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 16 130 0ms 0ms 3 0ms 2,250 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 16 2,250 0ms 0ms 4 0ms 42 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 16 42 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 16 237 0ms 0ms 6 0ms 60 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 16 60 0ms 0ms 7 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 #7
Day Hour Count Duration Avg duration Mar 22 16 18 0ms 0ms 8 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 #8
Day Hour Count Duration Avg duration Mar 22 16 237 0ms 0ms 9 0ms 60 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 #9
Day Hour Count Duration Avg duration Mar 22 16 60 0ms 0ms 10 0ms 16 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 #10
Day Hour Count Duration Avg duration Mar 22 16 16 0ms 0ms 11 0ms 332 0ms 0ms 0ms commit;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 22 16 332 0ms 0ms 12 0ms 4 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 #12
Day Hour Count Duration Avg duration Mar 22 16 4 0ms 0ms 13 0ms 177 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 16 177 0ms 0ms 14 0ms 237 0ms 0ms 0ms select count(*), sum(size), extract(epoch from now() - min(modification)) from pg_ls_waldir ();Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 22 16 237 0ms 0ms 15 0ms 2 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 16 2 0ms 0ms 16 0ms 6 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 #16
Day Hour Count Duration Avg duration Mar 22 16 6 0ms 0ms 17 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 #17
Day Hour Count Duration Avg duration Mar 22 16 6 0ms 0ms 18 0ms 2 0ms 0ms 0ms update executions set isrunning = false, has_results = false, response = ? where id = ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 22 16 2 0ms 0ms 19 0ms 237 0ms 0ms 0ms select system_identifier from pg_control_system ();Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 22 16 237 0ms 0ms 20 0ms 237 0ms 0ms 0ms select datname, confl_tablespace, confl_lock, confl_snapshot, confl_bufferpin, confl_deadlock from pg_stat_database_conflicts where datname not ilike ? and datname not ilike ? and datname not ilike ? and datname not ilike ?;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 22 16 237 0ms 0ms Most frequent queries (N)
Rank Times executed Total duration Min duration Max duration Avg duration Query 1 4,275 0ms 0ms 0ms 0ms select ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 22 16 4,275 0ms 0ms 2 2,683 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 16 2,683 0ms 0ms 3 2,423 0ms 0ms 0ms 0ms insert into executionlogs (executionid, status, message, details, detailtype) values (null, ?, ?, null, null);Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Mar 22 16 2,423 0ms 0ms 4 2,273 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 #4
Day Hour Count Duration Avg duration Mar 22 16 2,273 0ms 0ms 5 2,250 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 16 2,250 0ms 0ms 6 2,188 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 16 2,188 0ms 0ms 7 2,035 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 16 2,035 0ms 0ms 8 1,058 0ms 0ms 0ms 0ms set extra_float_digits = ?;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Mar 22 16 1,058 0ms 0ms 9 1,046 0ms 0ms 0ms 0ms set application_name = ?;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 22 16 1,046 0ms 0ms 10 967 0ms 0ms 0ms 0ms select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Mar 22 16 967 0ms 0ms 11 709 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 #11
Day Hour Count Duration Avg duration Mar 22 16 709 0ms 0ms 12 444 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 #12
Day Hour Count Duration Avg duration Mar 22 16 444 0ms 0ms 13 332 0ms 0ms 0ms 0ms commit;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 22 16 332 0ms 0ms 14 332 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 #14
Day Hour Count Duration Avg duration Mar 22 16 332 0ms 0ms 15 332 0ms 0ms 0ms 0ms begin;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 22 16 332 0ms 0ms 16 288 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 #16
Day Hour Count Duration Avg duration Mar 22 16 288 0ms 0ms 17 251 0ms 0ms 0ms 0ms insert into authenticationlog (username, password, brokerid, authclass, attemptdatetime, success, fingerprint, accounttype) values (?, ?, ?, ?, current_timestamp, ?, ?, ?);Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 22 16 251 0ms 0ms 18 238 0ms 0ms 0ms 0ms select ;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 22 16 238 0ms 0ms 19 238 0ms 0ms 0ms 0ms select count(*) from datafeeds_latestrun where feedname ilike ? and ((latestrxtime > current_timestamp - interval ? and latestdbwritetime > current_timestamp - interval ?) or (latestdbwritetime > current_timestamp - interval ? and lateststartuptime > current_timestamp - interval ?));Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 22 16 238 0ms 0ms 20 238 0ms 0ms 0ms 0ms select extract(day from (max(enddate) - min(enddate))) from powerstats_trumpet;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 22 16 238 0ms 0ms Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 0ms 0ms 0ms 2 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 16 2 0ms 0ms 2 0ms 0ms 0ms 130 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 16 130 0ms 0ms 3 0ms 0ms 0ms 2,250 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 16 2,250 0ms 0ms 4 0ms 0ms 0ms 42 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 16 42 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 16 237 0ms 0ms 6 0ms 0ms 0ms 60 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 16 60 0ms 0ms 7 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 #7
Day Hour Count Duration Avg duration Mar 22 16 18 0ms 0ms 8 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 #8
Day Hour Count Duration Avg duration Mar 22 16 237 0ms 0ms 9 0ms 0ms 0ms 60 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 #9
Day Hour Count Duration Avg duration Mar 22 16 60 0ms 0ms 10 0ms 0ms 0ms 16 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 #10
Day Hour Count Duration Avg duration Mar 22 16 16 0ms 0ms 11 0ms 0ms 0ms 332 0ms commit;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 22 16 332 0ms 0ms 12 0ms 0ms 0ms 4 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 #12
Day Hour Count Duration Avg duration Mar 22 16 4 0ms 0ms 13 0ms 0ms 0ms 177 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 16 177 0ms 0ms 14 0ms 0ms 0ms 237 0ms select count(*), sum(size), extract(epoch from now() - min(modification)) from pg_ls_waldir ();Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 22 16 237 0ms 0ms 15 0ms 0ms 0ms 2 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 16 2 0ms 0ms 16 0ms 0ms 0ms 6 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 #16
Day Hour Count Duration Avg duration Mar 22 16 6 0ms 0ms 17 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 #17
Day Hour Count Duration Avg duration Mar 22 16 6 0ms 0ms 18 0ms 0ms 0ms 2 0ms update executions set isrunning = false, has_results = false, response = ? where id = ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 22 16 2 0ms 0ms 19 0ms 0ms 0ms 237 0ms select system_identifier from pg_control_system ();Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 22 16 237 0ms 0ms 20 0ms 0ms 0ms 237 0ms select datname, confl_tablespace, confl_lock, confl_snapshot, confl_bufferpin, confl_deadlock from pg_stat_database_conflicts where datname not ilike ? and datname not ilike ? and datname not ilike ? and datname not ilike ?;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 22 16 237 0ms 0ms Time consuming prepare
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 1s601ms 870 0ms 8ms 1ms SELECT symbolid, ;Times Reported Time consuming prepare #1
Day Hour Count Duration Avg duration Mar 22 16 870 1s601ms 1ms -
SELECT symbolid, ;
Date: 2026-03-22 16:02:08 Duration: 8ms Database: postgres
-
SELECT symbolid, ;
Date: 2026-03-22 16:31:11 Duration: 4ms Database: postgres
-
SELECT symbolid, ;
Date: 2026-03-22 16:01:07 Duration: 3ms Database: postgres
2 407ms 414 0ms 5ms 0ms WITH rar_max as ( ;Times Reported Time consuming prepare #2
Day Hour Count Duration Avg duration 16 414 407ms 0ms -
WITH rar_max as ( ;
Date: 2026-03-22 16:32:26 Duration: 5ms Database: postgres
-
WITH rar_max as ( ;
Date: 2026-03-22 16:00:31 Duration: 4ms Database: postgres
-
WITH rar_max as ( ;
Date: 2026-03-22 16:32:26 Duration: 4ms Database: postgres
3 252ms 2,157 0ms 6ms 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 16 2,157 252ms 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 16:46:09 Duration: 6ms 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 16:17:07 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 16:31:53 Duration: 0ms Database: postgres
4 200ms 2,240 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 16 2,240 200ms 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 16:41:23 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 16:41:07 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 16:10:07 Duration: 0ms Database: postgres
5 178ms 131 0ms 17ms 1ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming prepare #5
Day Hour Count Duration Avg duration 16 131 178ms 1ms -
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 16:47:38 Duration: 17ms Database: postgres
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 16:31:08 Duration: 1ms Database: postgres
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 16:00:11 Duration: 1ms Database: postgres
6 164ms 1,058 0ms 0ms 0ms SET extra_float_digits = 3;Times Reported Time consuming prepare #6
Day Hour Count Duration Avg duration 16 1,058 164ms 0ms -
SET extra_float_digits = 3;
Date: 2026-03-22 16:32:08 Duration: 0ms Database: postgres
-
SET extra_float_digits = 3;
Date: 2026-03-22 16:47:38 Duration: 0ms Database: postgres
-
SET extra_float_digits = 3;
Date: 2026-03-22 16:56:07 Duration: 0ms Database: postgres
7 135ms 774 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 #7
Day Hour Count Duration Avg duration 16 774 135ms 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 16:17:07 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 16:31:21 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 16:15:58 Duration: 0ms Database: postgres
8 118ms 446 0ms 1ms 0ms SELECT ;Times Reported Time consuming prepare #8
Day Hour Count Duration Avg duration 16 446 118ms 0ms -
SELECT ;
Date: 2026-03-22 16:36:00 Duration: 1ms Database: postgres
-
SELECT ;
Date: 2026-03-22 16:26:00 Duration: 1ms Database: postgres
-
SELECT ;
Date: 2026-03-22 16:16:54 Duration: 1ms Database: postgres
9 49ms 288 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 #9
Day Hour Count Duration Avg duration 16 288 49ms 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 16:16:52 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 16:45:58 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 16:02:41 Duration: 0ms Database: postgres
10 45ms 18 2ms 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 #10
Day Hour Count Duration Avg duration 16 18 45ms 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 16:51:01 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 16:31:01 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 16:31:01 Duration: 3ms Database: postgres
11 44ms 351 0ms 0ms 0ms INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming prepare #11
Day Hour Count Duration Avg duration 16 351 44ms 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 16:11:54 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 16:11:08 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 16:10:27 Duration: 0ms Database: postgres
12 41ms 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 #12
Day Hour Count Duration Avg duration 16 36 41ms 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 16:22:48 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 16:27:49 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 16:38:37 Duration: 1ms Database: postgres
13 27ms 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 16 36 27ms 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 16:52:52 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 16:22:48 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 16:27:49 Duration: 1ms Database: postgres
14 15ms 6 2ms 3ms 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 16 6 15ms 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 16:10:04 Duration: 3ms Database: postgres
-
select client_addr, count(1) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by client_addr, setting having (client_addr is not null OR (client_addr is null and count(1) > (cast(setting as numeric) / 3 * 2))) order by count desc;
Date: 2026-03-22 16:30:04 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 16:50:04 Duration: 2ms Database: postgres
15 13ms 1,046 0ms 0ms 0ms SET application_name = 'PostgreSQL JDBC Driver';Times Reported Time consuming prepare #15
Day Hour Count Duration Avg duration 16 1,046 13ms 0ms -
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-22 16:00:31 Duration: 0ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-22 16:17:53 Duration: 0ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-22 16:02:48 Duration: 0ms Database: postgres
16 11ms 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 #16
Day Hour Count Duration Avg duration 16 36 11ms 0ms -
select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;
Date: 2026-03-22 16:38:37 Duration: 0ms Database: postgres
-
select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;
Date: 2026-03-22 16:52:52 Duration: 0ms Database: postgres
-
select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;
Date: 2026-03-22 16:58:41 Duration: 0ms Database: postgres
17 7ms 2 2ms 4ms 3ms with wh_patitioned as ( ;Times Reported Time consuming prepare #17
Day Hour Count Duration Avg duration 16 2 7ms 3ms -
with wh_patitioned as ( ;
Date: 2026-03-22 16:45:43 Duration: 4ms Database: postgres
-
with wh_patitioned as ( ;
Date: 2026-03-22 16:08:56 Duration: 2ms Database: postgres
18 6ms 121 0ms 0ms 0ms select 1;Times Reported Time consuming prepare #18
Day Hour Count Duration Avg duration 16 121 6ms 0ms -
select 1;
Date: 2026-03-22 16:38:08 Duration: 0ms Database: postgres
-
select 1;
Date: 2026-03-22 16:36:57 Duration: 0ms Database: postgres
-
select 1;
Date: 2026-03-22 16:00:31 Duration: 0ms Database: postgres
19 2ms 4 0ms 2ms 0ms SELECT DISTINCT ON (basegroupname, symbol) ;Times Reported Time consuming prepare #19
Day Hour Count Duration Avg duration 16 4 2ms 0ms -
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 16:21:00 Duration: 2ms Database: postgres
-
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 16:32:23 Duration: 0ms Database: postgres
-
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 16:00:26 Duration: 0ms Database: postgres
20 2ms 2 1ms 1ms 1ms SELECT * FROM datafeed_symbols WHERE classname ilike 'ICMARKETS-AU-MT5' LIMIT $1;Times Reported Time consuming prepare #20
Day Hour Count Duration Avg duration 16 2 2ms 1ms -
SELECT * FROM datafeed_symbols WHERE classname ilike 'ICMARKETS-AU-MT5' LIMIT $1;
Date: 2026-03-22 16:22:20 Duration: 1ms Database: postgres
-
SELECT * FROM datafeed_symbols WHERE classname ilike 'ICMARKETS-AU-MT5' LIMIT $1;
Date: 2026-03-22 16:52:20 Duration: 1ms Database: postgres
Time consuming bind
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 12s178ms 940 0ms 53ms 12ms WITH rar_max as ( ;Times Reported Time consuming bind #1
Day Hour Count Duration Avg duration Mar 22 16 940 12s178ms 12ms -
WITH rar_max as ( ;
Date: 2026-03-22 16:32:11 Duration: 53ms Database: postgres parameters: $1 = 't', $2 = '667', $3 = '7', $4 = '15', $5 = '30', $6 = '60', $7 = '120', $8 = '240', $9 = '480', $10 = '1440', $11 = '0', $12 = '', $13 = '84', $14 = 'AUDCAD', $15 = 'AUDCHF', $16 = 'AUDJPY', $17 = 'AUDNZD', $18 = 'AUDSGD', $19 = 'CADCHF', $20 = 'CADJPY', $21 = 'CHFJPY', $22 = 'EURAUD', $23 = 'EURCAD', $24 = 'EURCHF', $25 = 'EURCZK', $26 = 'EURGBP', $27 = 'EURHUF', $28 = 'EURJPY', $29 = 'EURNOK', $30 = 'EURNZD', $31 = 'EURPLN', $32 = 'EURSEK', $33 = 'EURSGD', $34 = 'EURTRY', $35 = 'EURZAR', $36 = 'GBPAUD', $37 = 'GBPCAD', $38 = 'GBPCHF', $39 = 'GBPJPY', $40 = 'GBPNZD', $41 = 'GBPPLN', $42 = 'GBPSEK', $43 = 'GBPSGD', $44 = 'NZDCAD', $45 = 'NZDCHF', $46 = 'NZDJPY', $47 = 'NZDSGD', $48 = 'USDCNH', $49 = 'USDCZK', $50 = 'USDHUF', $51 = 'USDNOK', $52 = 'USDPLN', $53 = 'USDSEK', $54 = 'USDSGD', $55 = 'USDTRY', $56 = 'USDZAR', $57 = 'WTI', $58 = 'XBRUSD', $59 = 'XTIUSD', $60 = 'BTCUSD', $61 = 'XAGAUD', $62 = 'XAGUSD', $63 = 'XAUAUD', $64 = 'XAUUSD', $65 = 'XPTUSD', $66 = 'XPDUSD', $67 = 'AUDUSD', $68 = 'EURUSD', $69 = 'GBPUSD', $70 = 'NZDUSD', $71 = 'USDCAD', $72 = 'USDCHF', $73 = 'USDHKD', $74 = 'USDJPY', $75 = 'AUS200', $76 = 'CHINA300', $77 = 'CHINA50', $78 = 'DJ30', $79 = 'ESP35t', $80 = 'EUR50', $81 = 'EURO50', $82 = 'FRA40', $83 = 'GDAXI', $84 = 'GDAXIm', $85 = 'HK50', $86 = 'ITA40', $87 = 'J225', $88 = 'JP225', $89 = 'NAS100', $90 = 'SING30', $91 = 'SPA35', $92 = 'STOXX50', $93 = 'SUI20', $94 = 'UK100', $95 = 'US100', $96 = 'US30', $97 = 'US500', $98 = '0', $99 = '', $100 = '0', $101 = '0', $102 = '0', $103 = '500', $104 = '500', $105 = 't', $106 = '10', $107 = '10'
-
WITH rar_max as ( ;
Date: 2026-03-22 16:47:07 Duration: 52ms Database: postgres parameters: $1 = 't', $2 = '667', $3 = '7', $4 = '15', $5 = '30', $6 = '60', $7 = '120', $8 = '240', $9 = '480', $10 = '1440', $11 = '0', $12 = '', $13 = '84', $14 = 'AUDCAD', $15 = 'AUDCHF', $16 = 'AUDJPY', $17 = 'AUDNZD', $18 = 'AUDSGD', $19 = 'CADCHF', $20 = 'CADJPY', $21 = 'CHFJPY', $22 = 'EURAUD', $23 = 'EURCAD', $24 = 'EURCHF', $25 = 'EURCZK', $26 = 'EURGBP', $27 = 'EURHUF', $28 = 'EURJPY', $29 = 'EURNOK', $30 = 'EURNZD', $31 = 'EURPLN', $32 = 'EURSEK', $33 = 'EURSGD', $34 = 'EURTRY', $35 = 'EURZAR', $36 = 'GBPAUD', $37 = 'GBPCAD', $38 = 'GBPCHF', $39 = 'GBPJPY', $40 = 'GBPNZD', $41 = 'GBPPLN', $42 = 'GBPSEK', $43 = 'GBPSGD', $44 = 'NZDCAD', $45 = 'NZDCHF', $46 = 'NZDJPY', $47 = 'NZDSGD', $48 = 'USDCNH', $49 = 'USDCZK', $50 = 'USDHUF', $51 = 'USDNOK', $52 = 'USDPLN', $53 = 'USDSEK', $54 = 'USDSGD', $55 = 'USDTRY', $56 = 'USDZAR', $57 = 'WTI', $58 = 'XBRUSD', $59 = 'XTIUSD', $60 = 'BTCUSD', $61 = 'XAGAUD', $62 = 'XAGUSD', $63 = 'XAUAUD', $64 = 'XAUUSD', $65 = 'XPTUSD', $66 = 'XPDUSD', $67 = 'AUDUSD', $68 = 'EURUSD', $69 = 'GBPUSD', $70 = 'NZDUSD', $71 = 'USDCAD', $72 = 'USDCHF', $73 = 'USDHKD', $74 = 'USDJPY', $75 = 'AUS200', $76 = 'CHINA300', $77 = 'CHINA50', $78 = 'DJ30', $79 = 'ESP35t', $80 = 'EUR50', $81 = 'EURO50', $82 = 'FRA40', $83 = 'GDAXI', $84 = 'GDAXIm', $85 = 'HK50', $86 = 'ITA40', $87 = 'J225', $88 = 'JP225', $89 = 'NAS100', $90 = 'SING30', $91 = 'SPA35', $92 = 'STOXX50', $93 = 'SUI20', $94 = 'UK100', $95 = 'US100', $96 = 'US30', $97 = 'US500', $98 = '0', $99 = '', $100 = '0', $101 = '0', $102 = '0', $103 = '500', $104 = '500', $105 = 't', $106 = '10', $107 = '10'
-
WITH rar_max as ( ;
Date: 2026-03-22 16:47:21 Duration: 38ms Database: postgres parameters: $1 = '667', $2 = '7', $3 = '15', $4 = '30', $5 = '60', $6 = '120', $7 = '240', $8 = '480', $9 = '1440', $10 = '0', $11 = '', $12 = '84', $13 = 'AUDCAD', $14 = 'AUDCHF', $15 = 'AUDJPY', $16 = 'AUDNZD', $17 = 'AUDSGD', $18 = 'CADCHF', $19 = 'CADJPY', $20 = 'CHFJPY', $21 = 'EURAUD', $22 = 'EURCAD', $23 = 'EURCHF', $24 = 'EURCZK', $25 = 'EURGBP', $26 = 'EURHUF', $27 = 'EURJPY', $28 = 'EURNOK', $29 = 'EURNZD', $30 = 'EURPLN', $31 = 'EURSEK', $32 = 'EURSGD', $33 = 'EURTRY', $34 = 'EURZAR', $35 = 'GBPAUD', $36 = 'GBPCAD', $37 = 'GBPCHF', $38 = 'GBPJPY', $39 = 'GBPNZD', $40 = 'GBPPLN', $41 = 'GBPSEK', $42 = 'GBPSGD', $43 = 'NZDCAD', $44 = 'NZDCHF', $45 = 'NZDJPY', $46 = 'NZDSGD', $47 = 'USDCNH', $48 = 'USDCZK', $49 = 'USDHUF', $50 = 'USDNOK', $51 = 'USDPLN', $52 = 'USDSEK', $53 = 'USDSGD', $54 = 'USDTRY', $55 = 'USDZAR', $56 = 'WTI', $57 = 'XBRUSD', $58 = 'XTIUSD', $59 = 'BTCUSD', $60 = 'XAGAUD', $61 = 'XAGUSD', $62 = 'XAUAUD', $63 = 'XAUUSD', $64 = 'XPTUSD', $65 = 'XPDUSD', $66 = 'AUDUSD', $67 = 'EURUSD', $68 = 'GBPUSD', $69 = 'NZDUSD', $70 = 'USDCAD', $71 = 'USDCHF', $72 = 'USDHKD', $73 = 'USDJPY', $74 = 'AUS200', $75 = 'CHINA300', $76 = 'CHINA50', $77 = 'DJ30', $78 = 'ESP35t', $79 = 'EUR50', $80 = 'EURO50', $81 = 'FRA40', $82 = 'GDAXI', $83 = 'GDAXIm', $84 = 'HK50', $85 = 'ITA40', $86 = 'J225', $87 = 'JP225', $88 = 'NAS100', $89 = 'SING30', $90 = 'SPA35', $91 = 'STOXX50', $92 = 'SUI20', $93 = 'UK100', $94 = 'US100', $95 = 'US30', $96 = 'US500', $97 = '500', $98 = '500', $99 = 't', $100 = '10', $101 = '10'
2 2s536ms 870 1ms 6ms 2ms SELECT symbolid, ;Times Reported Time consuming bind #2
Day Hour Count Duration Avg duration 16 870 2s536ms 2ms -
SELECT symbolid, ;
Date: 2026-03-22 16:00:31 Duration: 6ms Database: postgres parameters: $1 = 'GLOBALGTMT5', $2 = '15', $3 = 'BTCXAU', $4 = 'BTCUSO'
-
SELECT symbolid, ;
Date: 2026-03-22 16:30:38 Duration: 4ms Database: postgres parameters: $1 = 'GLOBALGTMT5', $2 = '15', $3 = 'ETHJPY', $4 = 'ETHUSD'
-
SELECT symbolid, ;
Date: 2026-03-22 16:11:07 Duration: 4ms Database: postgres parameters: $1 = 'BDSWISS', $2 = '15', $3 = 'AUS_200'
3 1s520ms 4,780 0ms 5ms 0ms SELECT ;Times Reported Time consuming bind #3
Day Hour Count Duration Avg duration 16 4,780 1s520ms 0ms -
SELECT ;
Date: 2026-03-22 16:36:58 Duration: 5ms Database: postgres parameters: $1 = '515840243198780300'
-
SELECT ;
Date: 2026-03-22 16:36:07 Duration: 5ms Database: postgres parameters: $1 = '607882091795859302', $2 = '607882091795859302', $3 = '607882091795859302'
-
SELECT ;
Date: 2026-03-22 16:19:46 Duration: 4ms Database: postgres parameters: $1 = '515840243198780300'
4 289ms 45 4ms 15ms 6ms WITH last_candle AS ( ;Times Reported Time consuming bind #4
Day Hour Count Duration Avg duration 16 45 289ms 6ms -
WITH last_candle AS ( ;
Date: 2026-03-22 16:36:00 Duration: 15ms Database: postgres parameters: $1 = '558', $2 = '558'
-
WITH last_candle AS ( ;
Date: 2026-03-22 16:08:00 Duration: 14ms Database: postgres parameters: $1 = '558', $2 = '558'
-
WITH last_candle AS ( ;
Date: 2026-03-22 16:36:06 Duration: 14ms Database: postgres parameters: $1 = '667', $2 = '667'
5 261ms 131 0ms 3ms 1ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming bind #5
Day Hour Count Duration Avg duration 16 131 261ms 1ms -
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 16:15:52 Duration: 3ms Database: postgres parameters: $1 = 'GLOBALGTMT5'
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 16:30:42 Duration: 2ms Database: postgres parameters: $1 = 'MILLENNIUMPF'
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 16:31:08 Duration: 2ms Database: postgres parameters: $1 = 'ICMARKETS'
6 258ms 12 0ms 39ms 21ms with wh_patitioned as ( ;Times Reported Time consuming bind #6
Day Hour Count Duration Avg duration 16 12 258ms 21ms -
with wh_patitioned as ( ;
Date: 2026-03-22 16:36:55 Duration: 39ms 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 16:13:37 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 16:45:43 Duration: 26ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '558', $4 = '558', $5 = '558', $6 = '558', $7 = '558', $8 = '558', $9 = '558'
7 203ms 2,250 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 bind #7
Day Hour Count Duration Avg duration 16 2,250 203ms 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 16:17:53 Duration: 1ms Database: postgres parameters: $1 = '2026-03-20 22:00:00', $2 = '193.765', $3 = '194.93', $4 = '192.58', $5 = '194.93', $6 = '1456', $7 = '515840249438520300', $8 = '0', $9 = '2026-03-22 16:17:53.243', $10 = '2026-03-22 16:17:53.243', $11 = '193.765', $12 = '194.93', $13 = '192.58', $14 = '194.93', $15 = '1456', $16 = '0', $17 = '2026-03-22 16:17:53.243', $18 = '2026-03-22 16:17:53.243'
-
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 16:11:24 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 21:00:00', $2 = '23883.6', $3 = '23930.5', $4 = '23760.1', $5 = '23912.1', $6 = '27749', $7 = '515840248039327300', $8 = '0', $9 = '2026-03-22 16:11:24.216', $10 = '2026-03-22 16:11:24.124', $11 = '23883.6', $12 = '23930.5', $13 = '23760.1', $14 = '23912.1', $15 = '27749', $16 = '0', $17 = '2026-03-22 16:11:24.216', $18 = '2026-03-22 16:11:24.124'
-
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 16:02:58 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 20:00:00', $2 = '200.71', $3 = '200.79', $4 = '200.47', $5 = '200.53', $6 = '736', $7 = '515840247929791300', $8 = '0', $9 = '2026-03-22 16:02:58.815', $10 = '2026-03-22 16:02:58.75', $11 = '200.71', $12 = '200.79', $13 = '200.47', $14 = '200.53', $15 = '736', $16 = '0', $17 = '2026-03-22 16:02:58.815', $18 = '2026-03-22 16:02:58.75'
8 177ms 2,273 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 16 2,273 177ms 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 16:41:23 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 22:00:00', $2 = '23912.2', $3 = '23940.9', $4 = '23901.5', $5 = '23940.8', $6 = '9072', $7 = '515840248039147300', $8 = '0', $9 = '2026-03-22 16:41:23.702', $10 = '2026-03-22 16:41:23.611', $11 = '23912.2', $12 = '23940.9', $13 = '23901.5', $14 = '23940.8', $15 = '9072', $16 = '0', $17 = '2026-03-22 16:41:23.702', $18 = '2026-03-22 16:41:23.611'
-
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 16:41:07 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 16:41:07.591', $10 = '2026-03-22 16:41:07.48', $11 = '8279.4', $12 = '8282.4', $13 = '8256.4', $14 = '8265.4', $15 = '6981', $16 = '0', $17 = '2026-03-22 16:41:07.591', $18 = '2026-03-22 16:41:07.48'
-
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 16:10:07 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 16:10:07.434', $10 = '2026-03-22 16:10:07.323', $11 = '8279.4', $12 = '8282.4', $13 = '8256.4', $14 = '8265.4', $15 = '6981', $16 = '0', $17 = '2026-03-22 16:10:07.434', $18 = '2026-03-22 16:10:07.323'
9 165ms 4,158 0ms 7ms 0ms select 1;Times Reported Time consuming bind #9
Day Hour Count Duration Avg duration 16 4,158 165ms 0ms -
select 1;
Date: 2026-03-22 16:47:38 Duration: 7ms Database: postgres
-
select 1;
Date: 2026-03-22 16:36:07 Duration: 7ms Database: postgres
-
select 1;
Date: 2026-03-22 16:50:58 Duration: 7ms Database: postgres
10 147ms 24 0ms 18ms 6ms WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;Times Reported Time consuming bind #10
Day Hour Count Duration Avg duration 16 24 147ms 6ms -
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;
Date: 2026-03-22 16:53:01 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 16:47:35 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 16:22:29 Duration: 11ms Database: postgres parameters: $1 = '667', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
11 142ms 2,683 0ms 0ms 0ms INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming bind #11
Day Hour Count Duration Avg duration 16 2,683 142ms 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 16:15:38 Duration: 0ms Database: postgres parameters: $1 = '2026-03-22 16:45:00', $2 = '2076.28', $3 = '2081.055', $4 = '2075.18', $5 = '2078.885', $6 = '583', $7 = '515840249394152300', $8 = '0', $9 = '2026-03-22 16:15:38.011', $10 = '2026-03-22 16:15:37.946', $11 = '2076.28', $12 = '2081.055', $13 = '2075.18', $14 = '2078.885', $15 = '583', $16 = '0', $17 = '2026-03-22 16:15:38.011', $18 = '2026-03-22 16:15:37.946'
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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 16:45:27 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 23:45:00', $2 = '0.702125', $3 = '0.702535', $4 = '0.70193', $5 = '0.702205', $6 = '510', $7 = '515840249374319300', $8 = '0', $9 = '2026-03-22 16:45:27.743', $10 = '2026-03-22 16:45:27.691', $11 = '0.702125', $12 = '0.702535', $13 = '0.70193', $14 = '0.702205', $15 = '510', $16 = '0', $17 = '2026-03-22 16:45:27.743', $18 = '2026-03-22 16:45:27.691'
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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 16:45:58 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 23:45:00', $2 = '0.788315', $3 = '0.78838', $4 = '0.78787', $5 = '0.78801', $6 = '393', $7 = '515840249377809300', $8 = '0', $9 = '2026-03-22 16:45:58.026', $10 = '2026-03-22 16:45:57.973', $11 = '0.788315', $12 = '0.78838', $13 = '0.78787', $14 = '0.78801', $15 = '393', $16 = '0', $17 = '2026-03-22 16:45:58.026', $18 = '2026-03-22 16:45:57.973'
12 52ms 288 0ms 1ms 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 #12
Day Hour Count Duration Avg duration 16 288 52ms 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 16:45:52 Duration: 1ms Database: postgres parameters: $1 = '2026-03-20 00:00:00', $2 = '0.58745', $3 = '0.589185', $4 = '0.5818', $5 = '0.58293', $6 = '71549', $7 = '515840249465415300', $8 = '0', $9 = '2026-03-22 16:45:52.034', $10 = '2026-03-22 16:45:52.034', $11 = '0.58745', $12 = '0.589185', $13 = '0.5818', $14 = '0.58293', $15 = '71549', $16 = '0', $17 = '2026-03-22 16:45:52.034', $18 = '2026-03-22 16:45:52.034'
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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 16:45:58 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 00:00:00', $2 = '0.78821', $3 = '0.79057', $4 = '0.78554', $5 = '0.78801', $6 = '59285', $7 = '515840249379276300', $8 = '0', $9 = '2026-03-22 16:45:58.06', $10 = '2026-03-22 16:45:58.06', $11 = '0.78821', $12 = '0.79057', $13 = '0.78554', $14 = '0.78801', $15 = '59285', $16 = '0', $17 = '2026-03-22 16:45:58.06', $18 = '2026-03-22 16:45:58.06'
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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 16:16:52 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 00:00:00', $2 = '0.58745', $3 = '0.589185', $4 = '0.5818', $5 = '0.58293', $6 = '71549', $7 = '515840249465415300', $8 = '0', $9 = '2026-03-22 16:16:52.843', $10 = '2026-03-22 16:16:52.843', $11 = '0.58745', $12 = '0.589185', $13 = '0.5818', $14 = '0.58293', $15 = '71549', $16 = '0', $17 = '2026-03-22 16:16:52.843', $18 = '2026-03-22 16:16:52.843'
13 48ms 444 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 #13
Day Hour Count Duration Avg duration 16 444 48ms 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 16:11:54 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 15:00:00', $2 = '247.25', $3 = '248.98', $4 = '246.58', $5 = '248.23', $6 = '52814', $7 = '515840247917569300', $8 = '0', $9 = '2026-03-22 16:11:54.532', $10 = '2026-03-22 16:11:54.453', $11 = '247.25', $12 = '248.98', $13 = '246.58', $14 = '248.23', $15 = '52814', $16 = '0', $17 = '2026-03-22 16:11:54.532', $18 = '2026-03-22 16:11:54.453'
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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 16:11:08 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 16:11:08.109', $10 = '2026-03-22 16:11:07.965', $11 = '8369.4', $12 = '8373.4', $13 = '8299.4', $14 = '8312.9', $15 = '72835', $16 = '0', $17 = '2026-03-22 16:11:08.109', $18 = '2026-03-22 16:11:07.965'
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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 16:10:27 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 16:10:27.704', $10 = '2026-03-22 16:10:27.634', $11 = '45849.55', $12 = '45920.05', $13 = '45671.55', $14 = '45733.65', $15 = '82042', $16 = '0', $17 = '2026-03-22 16:10:27.704', $18 = '2026-03-22 16:10:27.634'
14 34ms 96 0ms 4ms 0ms /*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;Times Reported Time consuming bind #14
Day Hour Count Duration Avg duration 16 96 34ms 0ms -
/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;
Date: 2026-03-22 16:36:43 Duration: 4ms Database: postgres parameters: $1 = '607872007749734301'
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/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;
Date: 2026-03-22 16:51:52 Duration: 4ms Database: postgres parameters: $1 = '607872244028770301'
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/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;
Date: 2026-03-22 16:37:48 Duration: 3ms Database: postgres parameters: $1 = '607872009072680301'
15 24ms 36 0ms 0ms 0ms select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;Times Reported Time consuming bind #15
Day Hour Count Duration Avg duration 16 36 24ms 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 16:52:52 Duration: 0ms Database: postgres
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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 16:38:37 Duration: 0ms Database: postgres
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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 16:58:41 Duration: 0ms Database: postgres
16 23ms 36 0ms 0ms 0ms select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;Times Reported Time consuming bind #16
Day Hour Count Duration Avg duration 16 36 23ms 0ms -
select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;
Date: 2026-03-22 16:43:38 Duration: 0ms Database: postgres
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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 16:27:49 Duration: 0ms Database: postgres
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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 16:22:48 Duration: 0ms Database: postgres
17 21ms 4 3ms 9ms 5ms SELECT DISTINCT ON (basegroupname, symbol) ;Times Reported Time consuming bind #17
Day Hour Count Duration Avg duration 16 4 21ms 5ms -
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 16:21:00 Duration: 9ms Database: postgres parameters: $1 = '627', $2 = '627'
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SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 16:32:23 Duration: 5ms Database: postgres parameters: $1 = '667', $2 = '667'
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SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 16:11:03 Duration: 3ms Database: postgres parameters: $1 = '627', $2 = '627'
18 13ms 19 0ms 2ms 0ms /*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;Times Reported Time consuming bind #18
Day Hour Count Duration Avg duration 16 19 13ms 0ms -
/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-22 16:55:45 Duration: 2ms Database: postgres parameters: $1 = '607872183641618303'
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/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-22 16:53:38 Duration: 2ms Database: postgres parameters: $1 = '607872186882662303'
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/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-22 16:49:16 Duration: 2ms Database: postgres parameters: $1 = '607872244401487303'
19 12ms 18 0ms 0ms 0ms 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 bind #19
Day Hour Count Duration Avg duration 16 18 12ms 0ms -
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 16:51:01 Duration: 0ms Database: postgres
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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 16:21:01 Duration: 0ms Database: postgres
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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 16:31:01 Duration: 0ms Database: postgres
20 10ms 123 0ms 1ms 0ms SELECT df.absolutetimezoneoffset FROM datafeedstimetable df INNER JOIN downloadersymbolsettings dss ON df.classname = dss.classname WHERE dss.symbolid = $1 GROUP BY df.absolutetimezoneoffset LIMIT 1;Times Reported Time consuming bind #20
Day Hour Count Duration Avg duration 16 123 10ms 0ms -
SELECT df.absolutetimezoneoffset FROM datafeedstimetable df INNER JOIN downloadersymbolsettings dss ON df.classname = dss.classname WHERE dss.symbolid = $1 GROUP BY df.absolutetimezoneoffset LIMIT 1;
Date: 2026-03-22 16:47:38 Duration: 1ms Database: postgres parameters: $1 = '515840233910322300'
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SELECT df.absolutetimezoneoffset FROM datafeedstimetable df INNER JOIN downloadersymbolsettings dss ON df.classname = dss.classname WHERE dss.symbolid = $1 GROUP BY df.absolutetimezoneoffset LIMIT 1;
Date: 2026-03-22 16:36:29 Duration: 0ms Database: postgres parameters: $1 = '515840243867772300'
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SELECT df.absolutetimezoneoffset FROM datafeedstimetable df INNER JOIN downloadersymbolsettings dss ON df.classname = dss.classname WHERE dss.symbolid = $1 GROUP BY df.absolutetimezoneoffset LIMIT 1;
Date: 2026-03-22 16:52:48 Duration: 0ms Database: postgres parameters: $1 = '515840233921987300'
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Events
Log levels
Key values
- 147,989 Log entries
Events distribution
Key values
- 0 PANIC entries
- 0 FATAL entries
- 237 ERROR entries
- 0 WARNING entries
Most Frequent Errors/Events
Key values
- 237 Max number of times the same event was reported
- 237 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 16 237 - 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 16:00:14