-
Global information
- Generated on Wed Feb 4 11:00:19 2026
- Log file: /home/postgres/pg_data/data/pg_log/postgresql-2026-02-04_120000.log, ..., /home/postgres/pg_data/data/pg_log/postgresql-2026-02-04_124637.log
- Parsed 3,516,531 log entries in 1m17s
- Log start from 2026-02-04 12:00:00 to 2026-02-04 12:59:59
-
Overview
Global Stats
- 256 Number of unique normalized queries
- 342,628 Number of queries
- 3h10m42s Total query duration
- 2026-02-04 12:00:00 First query
- 2026-02-04 12:59:59 Last query
- 6,112 queries/s at 2026-02-04 12:45:04 Query peak
- 3h10m42s Total query duration
- 26s8ms Prepare/parse total duration
- 1m54s Bind total duration
- 3h8m22s Execute total duration
- 0 Number of events
- 0 Number of unique normalized events
- 0 Max number of times the same event was reported
- 0 Number of cancellation
- 52 Total number of automatic vacuums
- 57 Total number of automatic analyzes
- 816 Number temporary file
- 170.03 MiB Max size of temporary file
- 7.44 MiB Average size of temporary file
- 9,357 Total number of sessions
- 12 sessions at 2026-02-04 12:34:08 Session peak
- 2d13h52m Total duration of sessions
- 23s802ms Average duration of sessions
- 36 Average queries per session
- 1s222ms Average queries duration per session
- 22s579ms Average idle time per session
- 9,359 Total number of connections
- 60 connections/s at 2026-02-04 12:34:25 Connection peak
- 3 Total number of databases
SQL Traffic
Key values
- 6,112 queries/s Query Peak
- 2026-02-04 12:45:04 Date
SELECT Traffic
Key values
- 3,008 queries/s Query Peak
- 2026-02-04 12:45:04 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 303 queries/s Query Peak
- 2026-02-04 12:00:41 Date
Queries duration
Key values
- 3h10m42s 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) Feb 04 12 342,628 0ms 40s556ms 32ms 5m38s 6m4s 6m13s Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Feb 04 12 103,397 26 0ms 0ms 0ms 0ms Day Hour INSERT UPDATE DELETE COPY FROM Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Feb 04 12 35,014 3,164 16 96 0ms 0ms 0ms 0ms Day Hour Prepare Bind Bind/Prepare Percentage of prepare Feb 04 12 58,319 135,430 2.32 37.87% Day Hour Count Average / Second Feb 04 12 9,359 2.60/s Day Hour Count Average Duration Average idle time Feb 04 12 9,357 23s802ms 22s594ms -
Connections
Established Connections
Key values
- 60 connections Connection Peak
- 2026-02-04 12:34:25 Date
Connections per database
Key values
- acaweb_fx Main Database
- 9,359 connections Total
Connections per user
Key values
- postgres Main User
- 9,359 connections Total
Connections per host
Key values
- 192.168.1.15 Main host with 5726 connections
- 9,359 Total connections
Host Count 127.0.0.1 113 192.168.0.114 7 192.168.0.171 1 192.168.0.216 102 192.168.0.74 629 192.168.1.127 9 192.168.1.145 194 192.168.1.15 5,726 192.168.1.20 218 192.168.1.231 20 192.168.1.239 9 192.168.1.90 53 192.168.2.126 39 192.168.2.182 12 192.168.3.199 36 192.168.4.142 1,464 192.168.4.150 10 192.168.4.179 4 192.168.4.238 12 192.168.4.33 95 192.168.4.53 4 192.168.4.86 1 192.168.4.98 330 [local] 271 -
Sessions
Simultaneous sessions
Key values
- 12 sessions Session Peak
- 2026-02-04 12:34:08 Date
Histogram of session times
Key values
- 8,148 0-500ms duration
Sessions per database
Key values
- acaweb_fx Main Database
- 9,357 sessions Total
Sessions per user
Key values
- postgres Main User
- 9,357 sessions Total
Sessions per host
Key values
- 192.168.1.15 Main Host
- 9,357 sessions Total
Host Count Total Duration Average Duration 127.0.0.1 113 14s3ms 123ms 192.168.0.114 6 40m5s 6m40s 192.168.0.216 102 1m12s 711ms 192.168.0.74 629 7h7m1s 40s733ms 192.168.1.127 9 17s465ms 1s940ms 192.168.1.145 194 4h8m28s 1m16s 192.168.1.15 5,726 5h2m48s 3s173ms 192.168.1.20 218 14h25m31s 3m58s 192.168.1.231 20 9h52m25s 29m37s 192.168.1.239 9 108ms 12ms 192.168.1.90 53 39s926ms 753ms 192.168.2.126 39 6s687ms 171ms 192.168.2.182 12 1s813ms 151ms 192.168.3.199 36 1s513ms 42ms 192.168.4.142 1,464 9m48s 401ms 192.168.4.150 10 20h7m38s 2h45s 192.168.4.179 4 38ms 9ms 192.168.4.238 12 16s304ms 1s358ms 192.168.4.33 95 9m49s 6s208ms 192.168.4.53 4 20s136ms 5s34ms 192.168.4.86 1 207ms 207ms 192.168.4.98 330 14s202ms 43ms [local] 271 4m57s 1s98ms -
Checkpoints / Restartpoints
Checkpoints Buffers
Key values
- 12,066 buffers Checkpoint Peak
- 2026-02-04 12:09:19 Date
- 209.933 seconds Highest write time
- 0.014 seconds Sync time
Checkpoints Wal files
Key values
- 7 files Wal files usage Peak
- 2026-02-04 12:09:19 Date
Checkpoints distance
Key values
- 226.88 Mo Distance Peak
- 2026-02-04 12:09:19 Date
Checkpoints Activity
↑ Back to the top of the Checkpoint Activity tableDay Hour Written buffers Write time Sync time Total time Feb 04 12 57,430 2,067.466s 0.072s 2,067.871s Day Hour Added Removed Recycled Synced files Longest sync Average sync Feb 04 12 0 0 27 2,199 0.013s 0s Day Hour Count Avg time (sec) Feb 04 12 0 0s Day Hour Mean distance Mean estimate Feb 04 12 37,411.92 kB 81,651.92 kB -
Temporary Files
Size of temporary files
Key values
- 185.92 MiB Temp Files size Peak
- 2026-02-04 12:00:10 Date
Number of temporary files
Key values
- 30 per second Temp Files Peak
- 2026-02-04 12:17:12 Date
Temporary Files Activity
↑ Back to the top of the Temporary Files Activity tableDay Hour Count Total size Average size Feb 04 12 816 5.93 GiB 7.44 MiB Queries generating the most temporary files (N)
Rank Count Total size Min size Max size Avg size Query 1 93 453.92 MiB 4.79 MiB 4.98 MiB 4.88 MiB select resultuid from relevance_fibonacci_results order by resultuid desc limit ?), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end), all_results as ( select fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join lateral calc_fib_signal_filter (fr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp)))), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;-
SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322, $323)) AND ($324 = 0 OR fr.pattern in ($325)) AND ($326 = 0 OR fr.patternlengthbars <= $327) AND ($328 = 0 OR ($329 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($330 = 2 AND fr.timed < cast('1970-01-01' as timestamp)))), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $331 OR relevant = 1) AND ($332 = 0 OR age <= $333) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-02-04 12:47:35 Duration: 0ms
2 35 111.44 MiB 3.02 MiB 3.40 MiB 3.18 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: 2026-02-04 12:47:55 Duration: 0ms
3 29 1.65 GiB 3.55 MiB 170.03 MiB 58.36 MiB with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = ? ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = ? ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = ?) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, ?::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> ? ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = ?) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = ? where (ok.r is null or ok.r = ?) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = ?) and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > ? * ? and last.eventtimestamp > current_timestamp - interval ? and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval ?) and last.eventtimestamp > current_timestamp - interval ? and broker.r = ?;-
with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;
Date: 2026-02-04 12:50:06 Duration: 0ms
4 23 69.54 MiB 3.02 MiB 3.03 MiB 3.02 MiB 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 ;-
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)) AND ($5 = 0 OR s.exchange in ($6)) AND ($7 = 0 OR coalesce(bim.code, s.symbol) in ($8)) AND ($9 = 0 OR ar.pattern in ($10)) AND ($11 = 0 OR ($12 = 1 AND ar.breakout >= 0) OR ($13 = 2 AND ar.breakout < 0)) AND ($14 = 0 OR ar.patternlengthbars <= $15) 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 = $16 OR relevant = 1) AND ($17 = 0 OR age <= $18) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-02-04 12:49:15 Duration: 0ms
5 21 180.13 MiB 8.57 MiB 8.58 MiB 8.58 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: 2026-02-04 12:48:30 Duration: 0ms
6 16 619.85 MiB 38.73 MiB 38.74 MiB 38.74 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: 2026-02-04 12:48:13 Duration: 0ms
7 16 1.11 GiB 71.11 MiB 71.12 MiB 71.12 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: 2026-02-04 12:48:15 Duration: 0ms
8 8 1.04 GiB 133.64 MiB 133.69 MiB 133.67 MiB select updateresultsmaterializedview ();-
select updateresultsmaterializedview ();
Date: 2026-02-04 12:47:13 Duration: 0ms
9 4 343.32 MiB 85.78 MiB 85.91 MiB 85.83 MiB select updateageforrelevantresults ();-
select updateageforrelevantresults ();
Date: 2026-02-04 12:47:05 Duration: 0ms
10 1 3.02 MiB 3.02 MiB 3.02 MiB 3.02 MiB 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 = ?;-
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 = $1 AND bsl.symbolid = s.symbolid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = $2 AND bim.TYPE = 'OUTBOUND' WHERE s.symbolid = $3;
Date: 2026-02-04 12:19:15 Duration: 0ms
Queries generating the largest temporary files
Rank Size Query 1 170.03 MiB with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;[ Date: 2026-02-04 12:00:07 ]
2 133.69 MiB select updateresultsmaterializedview ();[ Date: 2026-02-04 12:47:13 ]
3 133.69 MiB select updateresultsmaterializedview ();[ Date: 2026-02-04 12:32:12 ]
4 133.68 MiB select updateresultsmaterializedview ();[ Date: 2026-02-04 12:50:33 ]
5 133.68 MiB select updateresultsmaterializedview ();[ Date: 2026-02-04 12:17:17 ]
6 133.67 MiB select updateresultsmaterializedview ();[ Date: 2026-02-04 12:35:32 ]
7 133.66 MiB select updateresultsmaterializedview ();[ Date: 2026-02-04 12:20:33 ]
8 133.66 MiB select updateresultsmaterializedview ();[ Date: 2026-02-04 12:02:12 ]
9 133.64 MiB select updateresultsmaterializedview ();[ Date: 2026-02-04 12:05:32 ]
10 118.85 MiB with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;[ Date: 2026-02-04 12:10:05 ]
11 108.99 MiB with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;[ Date: 2026-02-04 12:50:05 ]
12 101.45 MiB with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;[ Date: 2026-02-04 12:30:06 ]
13 100.74 MiB with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;[ Date: 2026-02-04 12:40:04 ]
14 94.38 MiB with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;[ Date: 2026-02-04 12:50:04 ]
15 93.49 MiB with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;[ Date: 2026-02-04 12:30:04 ]
16 89.81 MiB with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;[ Date: 2026-02-04 12:20:06 ]
17 85.91 MiB select updateageforrelevantresults ();[ Date: 2026-02-04 12:02:05 ]
18 85.85 MiB select updateageforrelevantresults ();[ Date: 2026-02-04 12:32:05 ]
19 85.78 MiB select updateageforrelevantresults ();[ Date: 2026-02-04 12:17:06 ]
20 85.78 MiB select updateageforrelevantresults ();[ Date: 2026-02-04 12:47:05 ]
-
Vacuums
Vacuums / Analyzes Distribution
Key values
- 0 sec Highest CPU-cost vacuum
Table
Database - Date
- 0 sec Highest CPU-cost analyze
Table
Database - Date
Analyzes per table
Key values
- public.solr_relevance_old (16) Main table analyzed (database acaweb_fx)
- 57 analyzes Total
Table Number of analyzes acaweb_fx.public.solr_relevance_old 16 acaweb_fx.pg_catalog.pg_attribute 7 acaweb_fx.pg_catalog.pg_type 4 acaweb_fx.public.relevance_keylevels_results 4 acaweb_fx.pg_catalog.pg_class 4 acaweb_fx.public.relevance_autochartist_results 4 acaweb_fx.public.relevance_fibonacci_results 4 acaweb_fx.public.datafeeds_latestrun 3 acaweb_fx.pg_catalog.pg_index 2 acaweb_fx.public.autochartist_symbolupdates 2 acaweb_fx.pg_catalog.pg_depend 2 acaweb_fx.public.latest_t15_candle_view 2 socialmedia.public.processes 1 acaweb_fx.public.relevance_consecutivecandles_results 1 acaweb_fx.public.latest_candle_datetime_per_receng 1 Total 57 Vacuums per table
Key values
- public.solr_relevance_old (28) Main table vacuumed on database acaweb_fx
- 52 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 28 20 18,683 0 88 0 251 9,675 983 5,252,903 acaweb_fx.pg_catalog.pg_attribute 4 4 3,401 0 744 0 268 1,608 592 3,416,930 acaweb_fx.public.datafeeds_latestrun 3 0 347 0 5 0 0 39 5 36,370 acaweb_fx.public.relevance_autochartist_results 3 3 10,722 0 415 2 711 2,091 344 824,170 acaweb_fx.pg_toast.pg_toast_2619 2 2 283 0 80 0 0 212 73 289,529 acaweb_fx.pg_catalog.pg_type 2 2 328 0 96 0 0 152 63 272,337 acaweb_fx.public.relevance_keylevels_results 2 2 7,979 0 336 4 190 2,221 293 774,106 acaweb_fx.pg_catalog.pg_class 2 2 938 0 157 0 0 310 149 660,978 acaweb_fx.public.relevance_fibonacci_results 2 2 2,574 0 96 2 102 447 65 135,326 acaweb_fx.public.autochartist_symbolupdates 1 1 23,929 0 3,749 2 37,954 7,957 5,310 1,876,502 acaweb_fx.pg_catalog.pg_statistic 1 1 1,044 0 151 0 560 479 141 526,596 acaweb_fx.public.relevance_consecutivecandles_results 1 1 72 0 5 1 0 19 2 18,049 acaweb_fx.public.latest_t15_candle_view 1 1 66 0 4 0 0 6 1 9,055 Total 52 41 70,366 49,838 5,926 11 40,036 25,216 8,021 14,092,851 Tuples removed per table
Key values
- public.solr_relevance_old (82686) Main table with removed tuples on database acaweb_fx
- 100486 tuples Total removed
Index Tuples Pages Table Vacuums scans removed remain not yet removable removed remain acaweb_fx.public.solr_relevance_old 28 20 82,686 218,682 62,241 0 5,397 acaweb_fx.pg_catalog.pg_attribute 4 4 7,659 43,077 137 37 1,042 acaweb_fx.public.autochartist_symbolupdates 1 1 4,538 49,245 44 0 40,691 acaweb_fx.public.relevance_keylevels_results 2 2 1,880 24,020 0 0 558 acaweb_fx.public.relevance_autochartist_results 3 3 1,502 24,974 957 0 1,140 acaweb_fx.pg_catalog.pg_type 2 2 656 2,892 0 10 78 acaweb_fx.pg_catalog.pg_statistic 1 1 621 3,646 0 0 1,194 acaweb_fx.pg_catalog.pg_class 2 2 290 3,298 0 0 300 acaweb_fx.public.relevance_fibonacci_results 2 2 251 2,532 0 0 204 acaweb_fx.public.datafeeds_latestrun 3 0 161 42 0 0 48 acaweb_fx.pg_toast.pg_toast_2619 2 2 147 338 6 0 102 acaweb_fx.public.latest_t15_candle_view 1 1 59 14 0 0 1 acaweb_fx.public.relevance_consecutivecandles_results 1 1 36 360 0 0 7 Total 52 41 100,486 373,120 63,385 47 50,762 Pages removed per table
Key values
- pg_catalog.pg_attribute (37) Main table with removed pages on database acaweb_fx
- 47 pages Total removed
Table Number of vacuums Index scans Tuples removed Pages removed acaweb_fx.pg_catalog.pg_attribute 4 4 7659 37 acaweb_fx.pg_catalog.pg_type 2 2 656 10 acaweb_fx.pg_toast.pg_toast_2619 2 2 147 0 acaweb_fx.public.autochartist_symbolupdates 1 1 4538 0 acaweb_fx.public.datafeeds_latestrun 3 0 161 0 acaweb_fx.pg_catalog.pg_statistic 1 1 621 0 acaweb_fx.public.relevance_consecutivecandles_results 1 1 36 0 acaweb_fx.public.latest_t15_candle_view 1 1 59 0 acaweb_fx.public.relevance_keylevels_results 2 2 1880 0 acaweb_fx.pg_catalog.pg_class 2 2 290 0 acaweb_fx.public.solr_relevance_old 28 20 82686 0 acaweb_fx.public.relevance_autochartist_results 3 3 1502 0 acaweb_fx.public.relevance_fibonacci_results 2 2 251 0 Total 52 41 100,486 47 Autovacuum Activity
↑ Back to the top of the Autovacuum Activity tableDay Hour VACUUMs ANALYZEs Feb 04 12 52 57 - 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
- 103,397 Total read queries
- 50,617 Total write queries
Queries by database
Key values
- unknown Main database
- 341,644 Requests
- 3h8m22s (unknown)
- Main time consuming database
Database Request type Count Duration acaweb_fx Total 875 0ms copy from 80 0ms copy to 26 0ms cte 104 0ms ddl 16 0ms delete 16 0ms others 163 0ms select 99 0ms tcl 332 0ms update 39 0ms socialmedia Total 109 0ms others 9 0ms select 95 0ms tcl 5 0ms unknown Total 341,644 3h8m22s copy from 16 0ms cte 11,381 0ms insert 35,014 0ms others 17,128 0ms select 103,203 0ms tcl 463 0ms update 3,125 0ms Queries by user
Key values
- unknown Main user
- 341,644 Requests
User Request type Count Duration postgres Total 984 0ms copy from 80 0ms copy to 26 0ms cte 104 0ms ddl 16 0ms delete 16 0ms others 172 0ms select 194 0ms tcl 337 0ms update 39 0ms unknown Total 341,644 3h8m22s copy from 16 0ms cte 11,381 0ms insert 35,014 0ms others 17,128 0ms select 103,203 0ms tcl 463 0ms update 3,125 0ms Duration by user
Key values
- 3h8m22s (unknown) Main time consuming user
User Request type Count Duration postgres Total 984 0ms copy from 80 0ms copy to 26 0ms cte 104 0ms ddl 16 0ms delete 16 0ms others 172 0ms select 194 0ms tcl 337 0ms update 39 0ms unknown Total 341,644 3h8m22s copy from 16 0ms cte 11,381 0ms insert 35,014 0ms others 17,128 0ms select 103,203 0ms tcl 463 0ms update 3,125 0ms Queries by host
Key values
- unknown Main host
- 342,628 Requests
- 3h8m22s (unknown)
- Main time consuming host
Queries by application
Key values
- unknown Main application
- 342,244 Requests
- 3h8m22s (unknown)
- Main time consuming application
Number of cancelled queries
Key values
- 0 per second Cancelled query Peak
- 2026-02-04 12:33:05 Date
Number of cancelled queries (5 minutes period)
NO DATASET
-
Top Queries
Histogram of query times
Key values
- 107,629 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 51 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 Feb 04 12 51 0ms 0ms 2 0ms 320 0ms 0ms 0ms with rar_max as ( select resultuid from relevance_bigmovement_results order by resultuid desc limit ? ) select bmr.symbolid, patternstarttime, patternendtime, timegranularity, ? as direction, case when bmr.old_resultuid = ? then bmr.old_resultuid else bmr.resultuid end as uid, s.exchange, s.symbol, s.longname, s.shortname, dtt.timezone, bmr.patternmovement, bmr.statisticalmovement, bmr.fromprice, bmr.toprice, bmr.percentile, bmr.patternlengthbars, case when rbr.age is not null then rbr.age when bmr.resultuid <= rm.resultuid then ? else ? end as age, case when rbr.relevant is not null then rbr.relevant when bmr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from bigmovement_results bmr inner join downloadersymbolsettings dss on bmr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on bmr.symbolid = s.symbolid inner join rar_max rm on ? = ? left outer join relevance_bigmovement_results rbr on rbr.resultuid = bmr.resultuid left join currencypips cps on cps.symbol = s.symbol where (bmr.old_resultuid = ? or bmr.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Feb 04 12 320 0ms 0ms 3 0ms 2,216 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 Feb 04 12 2,216 0ms 0ms 4 0ms 4 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 #4
Day Hour Count Duration Avg duration Feb 04 12 4 0ms 0ms 5 0ms 4 0ms 0ms 0ms select updaterelevantforrelevantresults ();Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Feb 04 12 4 0ms 0ms 6 0ms 9 0ms 0ms 0ms set datestyle = iso;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Feb 04 12 9 0ms 0ms 7 0ms 9 0ms 0ms 0ms set client_encoding to ?;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Feb 04 12 9 0ms 0ms 8 0ms 18 0ms 0ms 0ms select cast(count(*) / cast(setting as numeric) * ? as int) from pg_stat_activity, pg_settings where name = ? group by setting;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Feb 04 12 18 0ms 0ms 9 0ms 400 0ms 0ms 0ms commit;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Feb 04 12 400 0ms 0ms 10 0ms 453 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 #10
Day Hour Count Duration Avg duration Feb 04 12 453 0ms 0ms 11 0ms 240 0ms 0ms 0ms select count(*), sum(size), extract(epoch from now() - min(modification)) from pg_ls_waldir ();Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Feb 04 12 240 0ms 0ms 12 0ms 240 0ms 0ms 0ms select system_identifier from pg_control_system ();Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Feb 04 12 240 0ms 0ms 13 0ms 10 0ms 0ms 0ms select groupid, exchange, groupname, symbol, longname from prfsymboltree where brokerid = ? order by groupname, symbol;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Feb 04 12 10 0ms 0ms 14 0ms 1 0ms 0ms 0ms insert into executionlogs (executionid, status, message, details, detailtype) values (?, ?, ?, ? ' compensation, automobile, umbrella, financial lines, professional and management liability, environmental, international coverages, property and casualty, commercial marine, and risk management products and services. It also offers homeowners, automobile and collector cars, valuable articles, personal and excess liability, travel insurance, cyber, and recreational marine insurance and services. In addition, the company provides multiple peril crop insurance and crop - hail insurance for farm, ranch, and specialty property and casualty, and commercial agriculture products; and property insurance products, including traditional commercial fire coverage, as well as energy industry - related, construction, and other technical coverages; personal accident and supplemental medical coverages, such as accidental death, business / holiday travel, specified disease, disability, medical and hospital indemnity, and income protection; and professional indemnity, cyber, surety, aviation, political risk, and specialty personal lines products. Further, the company offers property catastrophe reinsurance, traditional and specialty P & C reinsurance; and protection and savings products, which includes whole life, universal life, unit linked contracts, endowment plans, individual and group term life, dental, critical illness, dementia, hospital cash, personal accident, credit life, and group employee benefits. The company was formerly known as ACE Limited and changed its name to Chubb Limited in January ?.Chubb Limited was incorporated in ? and is headquartered in Zurich, Switzerland. ", " Address ": " Baerengasse ?, Zurich, Switzerland, ? ", " Phone ": " ? ? ? ? ? ", " WebURL ": " https: // www.chubb.com / us - en ", " LogoURL ": " https: // eodhistoricaldata.com / img / logos / US / cb.png ", " FullTimeEmployees ": ?, " UpdatedAt ": " ? - 02 - 03 ", " MarketCapitalization ": ?, " MarketCapitalizationMln ": ?.?, " EBITDA ": ?, " PERatio ": ?.?, " PEGRatio ": ?.?, " WallStreetTargetPrice ": ?.?, " BookValue ": ?.?, " DividendShare ": ?.?, " DividendYield ": ?.?, " EarningsShare ": ?.?, " EPSEstimateCurrentYear ": ?.?, " EPSEstimateNextYear ": ?.?, " EPSEstimateNextQuarter ": ?.?, " EPSEstimateCurrentQuarter ": ?.?, " MostRecentQuarter ": " ? - 09 - 30 ", " ProfitMargin ": ?.?, " OperatingMarginTTM ": ?.?, " ReturnOnAssetsTTM ": ?.?, " ReturnOnEquityTTM ": ?.?, " RevenueTTM ": ?, " RevenuePerShareTTM ": ?.?, " QuarterlyRevenueGrowthYOY ": ?.?, " GrossProfitTTM ": ?, " DilutedEpsTTM ": ?.?, " QuarterlyEarningsGrowthYOY ": ?.? }, " ? ": { " earningsimpactid ": " % % OBJNAME ? % % earningsimpactid.visible ": false, " sample_size ": " % % OBJNAME ? % % sample_size.visible ": false, " impactcompany ": " % % OBJNAME ? % % impactcompany.visible ": false, " impactcompany_name ": " % % OBJNAME ? % % impactcompany_name.visible ": false, " impactcompany_sector ": " % % OBJNAME ? % % impactcompany_sector.visible ": false, " impactcompany_industry ": " % % OBJNAME ? % % impactcompany_industry.visible ": false, " opportunities ": " % % OBJNAME ? % % opportunities.visible ": false, " Code ": " % % OBJNAME ? % % Code.visible ": false, " Type ": " % % OBJNAME ? % % Type.visible ": false, " Name ": " % % OBJNAME ? % % Name.visible ": false, " Exchange ": " % % OBJNAME ? % % Exchange.visible ": false, " CurrencyCode ": " % % OBJNAME ? % % CurrencyCode.visible ": false, " CurrencyName ": " % % OBJNAME ? % % CurrencyName.visible ": false, " CurrencySymbol ": " % % OBJNAME ? % % CurrencySymbol.visible ": false, " CountryName ": " % % OBJNAME ? % % CountryName.visible ": false, " CountryISO ": " % % OBJNAME ? % % CountryISO.visible ": false, " OpenFigi ": " % % OBJNAME ? % % OpenFigi.visible ": false, " ISIN ": " % % OBJNAME ? % % ISIN.visible ": false, " LEI ": " % % OBJNAME ? % % LEI.visible ": false, " PrimaryTicker ": " % % OBJNAME ? % % PrimaryTicker.visible ": false, " CUSIP ": " % % OBJNAME ? % % CUSIP.visible ": false, " CIK ": " % % OBJNAME ? % % CIK.visible ": false, " EmployerIdNumber ": " % % OBJNAME ? % % EmployerIdNumber.visible ": false, " FiscalYearEnd ": " % % OBJNAME ? % % FiscalYearEnd.visible ": false, " IPODate ": " % % OBJNAME ? % % IPODate.visible ": false, " InternationalDomestic ": " % % OBJNAME ? % % InternationalDomestic.visible ": false, " Sector ": " % % OBJNAME ? % % Sector.visible ": false, " Industry ": " % % OBJNAME ? % % Industry.visible ": false, " GicSector ": " % % OBJNAME ? % % GicSector.visible ": false, " GicGroup ": " % % OBJNAME ? % % GicGroup.visible ": false, " GicIndustry ": " % % OBJNAME ? % % GicIndustry.visible ": false, " GicSubIndustry ": " % % OBJNAME ? % % GicSubIndustry.visible ": false, " HomeCategory ": " % % OBJNAME ? % % HomeCategory.visible ": false, " IsDelisted ": " % % OBJNAME ? % % IsDelisted.visible ": false, " Description ": " % % OBJNAME ? % % Description.visible ": false, " Address ": " % % OBJNAME ? % % Address.visible ": false, " Phone ": " % % OBJNAME ? % % Phone.visible ": false, " WebURL ": " % % OBJNAME ? % % WebURL.visible ": false, " LogoURL ": " % % OBJNAME ? % % LogoURL.visible ": false, " FullTimeEmployees ": " % % OBJNAME ? % % FullTimeEmployees.visible ": false, " UpdatedAt ": " % % OBJNAME ? % % UpdatedAt.visible ": false, " MarketCapitalization ": " % % OBJNAME ? % % MarketCapitalization.visible ": false, " MarketCapitalizationMln ": " % % OBJNAME ? % % MarketCapitalizationMln.visible ": false, " EBITDA ": " % % OBJNAME ? % % EBITDA.visible ": false, " PERatio ": " % % OBJNAME ? % % PERatio.visible ": false, " PEGRatio ": " % % OBJNAME ? % % PEGRatio.visible ": false, " WallStreetTargetPrice ": " % % OBJNAME ? % % WallStreetTargetPrice.visible ": false, " BookValue ": " % % OBJNAME ? % % BookValue.visible ": false, " DividendShare ": " % % OBJNAME ? % % DividendShare.visible ": false, " DividendYield ": " % % OBJNAME ? % % DividendYield.visible ": false, " EarningsShare ": " % % OBJNAME ? % % EarningsShare.visible ": false, " EPSEstimateCurrentYear ": " % % OBJNAME ? % % EPSEstimateCurrentYear.visible ": false, " EPSEstimateNextYear ": " % % OBJNAME ? % % EPSEstimateNextYear.visible ": false, " EPSEstimateNextQuarter ": " % % OBJNAME ? % % EPSEstimateNextQuarter.visible ": false, " EPSEstimateCurrentQuarter ": " % % OBJNAME ? % % EPSEstimateCurrentQuarter.visible ": false, " MostRecentQuarter ": " % % OBJNAME ? % % MostRecentQuarter.visible ": false, " ProfitMargin ": " % % OBJNAME ? % % ProfitMargin.visible ": false, " OperatingMarginTTM ": " % % OBJNAME ? % % OperatingMarginTTM.visible ": false, " ReturnOnAssetsTTM ": " % % OBJNAME ? % % ReturnOnAssetsTTM.visible ": false, " ReturnOnEquityTTM ": " % % OBJNAME ? % % ReturnOnEquityTTM.visible ": false, " RevenueTTM ": " % % OBJNAME ? % % RevenueTTM.visible ": false, " RevenuePerShareTTM ": " % % OBJNAME ? % % RevenuePerShareTTM.visible ": false, " QuarterlyRevenueGrowthYOY ": " % % OBJNAME ? % % QuarterlyRevenueGrowthYOY.visible ": false, " GrossProfitTTM ": " % % OBJNAME ? % % GrossProfitTTM.visible ": false, " DilutedEpsTTM ": " % % OBJNAME ? % % DilutedEpsTTM.visible ": false, " QuarterlyEarningsGrowthYOY ": " % % OBJNAME ? % % QuarterlyEarningsGrowthYOY.visible ": false, " Shape.visible ": false, " bgshape.visible ": false }, " ? ": { " earningsimpactid ": " % % OBJNAME ? % % earningsimpactid.visible ": false, " sample_size ": " % % OBJNAME ? % % sample_size.visible ": false, " impactcompany ": " % % OBJNAME ? % % impactcompany.visible ": false, " impactcompany_name ": " % % OBJNAME ? % % impactcompany_name.visible ": false, " impactcompany_sector ": " % % OBJNAME ? % % impactcompany_sector.visible ": false, " impactcompany_industry ": " % % OBJNAME ? % % impactcompany_industry.visible ": false, " opportunities ": " % % OBJNAME ? % % opportunities.visible ": false, " Code ": " % % OBJNAME ? % % Code.visible ": false, " Type ": " % % OBJNAME ? % % Type.visible ": false, " Name ": " % % OBJNAME ? % % Name.visible ": false, " Exchange ": " % % OBJNAME ? % % Exchange.visible ": false, " CurrencyCode ": " % % OBJNAME ? % % CurrencyCode.visible ": false, " CurrencyName ": " % % OBJNAME ? % % CurrencyName.visible ": false, " CurrencySymbol ": " % % OBJNAME ? % % CurrencySymbol.visible ": false, " CountryName ": " % % OBJNAME ? % % CountryName.visible ": false, " CountryISO ": " % % OBJNAME ? % % CountryISO.visible ": false, " OpenFigi ": " % % OBJNAME ? % % OpenFigi.visible ": false, " ISIN ": " % % OBJNAME ? % % ISIN.visible ": false, " LEI ": " % % OBJNAME ? % % LEI.visible ": false, " PrimaryTicker ": " % % OBJNAME ? % % PrimaryTicker.visible ": false, " CUSIP ": " % % OBJNAME ? % % CUSIP.visible ": false, " CIK ": " % % OBJNAME ? % % CIK.visible ": false, " EmployerIdNumber ": " % % OBJNAME ? % % EmployerIdNumber.visible ": false, " FiscalYearEnd ": " % % OBJNAME ? % % FiscalYearEnd.visible ": false, " IPODate ": " % % OBJNAME ? % % IPODate.visible ": false, " InternationalDomestic ": " % % OBJNAME ? % % InternationalDomestic.visible ": false, " Sector ": " % % OBJNAME ? % % Sector.visible ": false, " Industry ": " % % OBJNAME ? % % Industry.visible ": false, " GicSector ": " % % OBJNAME ? % % GicSector.visible ": false, " GicGroup ": " % % OBJNAME ? % % GicGroup.visible ": false, " GicIndustry ": " % % OBJNAME ? % % GicIndustry.visible ": false, " GicSubIndustry ": " % % OBJNAME ? % % GicSubIndustry.visible ": false, " HomeCategory ": " % % OBJNAME ? % % HomeCategory.visible ": false, " IsDelisted ": " % % OBJNAME ? % % IsDelisted.visible ": false, " Description ": " % % OBJNAME ? % % Description.visible ": false, " Address ": " % % OBJNAME ? % % Address.visible ": false, " Phone ": " % % OBJNAME ? % % Phone.visible ": false, " WebURL ": " % % OBJNAME ? % % WebURL.visible ": false, " LogoURL ": " % % OBJNAME ? % % LogoURL.visible ": false, " FullTimeEmployees ": " % % OBJNAME ? % % FullTimeEmployees.visible ": false, " UpdatedAt ": " % % OBJNAME ? % % UpdatedAt.visible ": false, " MarketCapitalization ": " % % OBJNAME ? % % MarketCapitalization.visible ": false, " MarketCapitalizationMln ": " % % OBJNAME ? % % MarketCapitalizationMln.visible ": false, " EBITDA ": " % % OBJNAME ? % % EBITDA.visible ": false, " PERatio ": " % % OBJNAME ? % % PERatio.visible ": false, " PEGRatio ": " % % OBJNAME ? % % PEGRatio.visible ": false, " WallStreetTargetPrice ": " % % OBJNAME ? % % WallStreetTargetPrice.visible ": false, " BookValue ": " % % OBJNAME ? % % BookValue.visible ": false, " DividendShare ": " % % OBJNAME ? % % DividendShare.visible ": false, " DividendYield ": " % % OBJNAME ? % % DividendYield.visible ": false, " EarningsShare ": " % % OBJNAME ? % % EarningsShare.visible ": false, " EPSEstimateCurrentYear ": " % % OBJNAME ? % % EPSEstimateCurrentYear.visible ": false, " EPSEstimateNextYear ": " % % OBJNAME ? % % EPSEstimateNextYear.visible ": false, " EPSEstimateNextQuarter ": " % % OBJNAME ? % % EPSEstimateNextQuarter.visible ": false, " EPSEstimateCurrentQuarter ": " % % OBJNAME ? % % EPSEstimateCurrentQuarter.visible ": false, " MostRecentQuarter ": " % % OBJNAME ? % % MostRecentQuarter.visible ": false, " ProfitMargin ": " % % OBJNAME ? % % ProfitMargin.visible ": false, " OperatingMarginTTM ": " % % OBJNAME ? % % OperatingMarginTTM.visible ": false, " ReturnOnAssetsTTM ": " % % OBJNAME ? % % ReturnOnAssetsTTM.visible ": false, " ReturnOnEquityTTM ": " % % OBJNAME ? % % ReturnOnEquityTTM.visible ": false, " RevenueTTM ": " % % OBJNAME ? % % RevenueTTM.visible ": false, " RevenuePerShareTTM ": " % % OBJNAME ? % % RevenuePerShareTTM.visible ": false, " QuarterlyRevenueGrowthYOY ": " % % OBJNAME ? % % QuarterlyRevenueGrowthYOY.visible ": false, " GrossProfitTTM ": " % % OBJNAME ? % % GrossProfitTTM.visible ": false, " DilutedEpsTTM ": " % % OBJNAME ? % % DilutedEpsTTM.visible ": false, " QuarterlyEarningsGrowthYOY ": " % % OBJNAME ? % % QuarterlyEarningsGrowthYOY.visible ": false, " Shape.visible ": false, " bgshape.visible ": false }, " ? ": { " earningsimpactid ": " % % OBJNAME ? % % earningsimpactid.visible ": false, " sample_size ": " % % OBJNAME ? % % sample_size.visible ": false, " impactcompany ": " % % OBJNAME ? % % impactcompany.visible ": false, " impactcompany_name ": " % % OBJNAME ? % % impactcompany_name.visible ": false, " impactcompany_sector ": " % % OBJNAME ? % % impactcompany_sector.visible ": false, " impactcompany_industry ": " % % OBJNAME ? % % impactcompany_industry.visible ": false, " opportunities ": " % % OBJNAME ? % % opportunities.visible ": false, " Code ": " % % OBJNAME ? % % Code.visible ": false, " Type ": " % % OBJNAME ? % % Type.visible ": false, " Name ": " % % OBJNAME ? % % Name.visible ": false, " Exchange ": " % % OBJNAME ? % % Exchange.visible ": false, " CurrencyCode ": " % % OBJNAME ? % % CurrencyCode.visible ": false, " CurrencyName ": " % % OBJNAME ? % % CurrencyName.visible ": false, " CurrencySymbol ": " % % OBJNAME ? % % CurrencySymbol.visible ": false, " CountryName ": " % % OBJNAME ? % % CountryName.visible ": false, " CountryISO ": " % % OBJNAME ? % % CountryISO.visible ": false, " OpenFigi ": " % % OBJNAME ? % % OpenFigi.visible ": false, " ISIN ": " % % OBJNAME ? % % ISIN.visible ": false, " LEI ": " % % OBJNAME ? % % LEI.visible ": false, " PrimaryTicker ": " % % OBJNAME ? % % PrimaryTicker.visible ": false, " CUSIP ": " % % OBJNAME ? % % CUSIP.visible ": false, " CIK ": " % % OBJNAME ? % % CIK.visible ": false, " EmployerIdNumber ": " % % OBJNAME ? % % EmployerIdNumber.visible ": false, " FiscalYearEnd ": " % % OBJNAME ? % % FiscalYearEnd.visible ": false, " IPODate ": " % % OBJNAME ? % % IPODate.visible ": false, " InternationalDomestic ": " % % OBJNAME ? % % InternationalDomestic.visible ": false, " Sector ": " % % OBJNAME ? % % Sector.visible ": false, " Industry ": " % % OBJNAME ? % % Industry.visible ": false, " GicSector ": " % % OBJNAME ? % % GicSector.visible ": false, " GicGroup ": " % % OBJNAME ? % % GicGroup.visible ": false, " GicIndustry ": " % % OBJNAME ? % % GicIndustry.visible ": false, " GicSubIndustry ": " % % OBJNAME ? % % GicSubIndustry.visible ": false, " HomeCategory ": " % % OBJNAME ? % % HomeCategory.visible ": false, " IsDelisted ": " % % OBJNAME ? % % IsDelisted.visible ": false, " Description ": " % % OBJNAME ? % % Description.visible ": false, " Address ": " % % OBJNAME ? % % Address.visible ": false, " Phone ": " % % OBJNAME ? % % Phone.visible ": false, " WebURL ": " % % OBJNAME ? % % WebURL.visible ": false, " LogoURL ": " % % OBJNAME ? % % LogoURL.visible ": false, " FullTimeEmployees ": " % % OBJNAME ? % % FullTimeEmployees.visible ": false, " UpdatedAt ": " % % OBJNAME ? % % UpdatedAt.visible ": false, " MarketCapitalization ": " % % OBJNAME ? % % MarketCapitalization.visible ": false, " MarketCapitalizationMln ": " % % OBJNAME ? % % MarketCapitalizationMln.visible ": false, " EBITDA ": " % % OBJNAME ? % % EBITDA.visible ": false, " PERatio ": " % % OBJNAME ? % % PERatio.visible ": false, " PEGRatio ": " % % OBJNAME ? % % PEGRatio.visible ": false, " WallStreetTargetPrice ": " % % OBJNAME ? % % WallStreetTargetPrice.visible ": false, " BookValue ": " % % OBJNAME ? % % BookValue.visible ": false, " DividendShare ": " % % OBJNAME ? % % DividendShare.visible ": false, " DividendYield ": " % % OBJNAME ? % % DividendYield.visible ": false, " EarningsShare ": " % % OBJNAME ? % % EarningsShare.visible ": false, " EPSEstimateCurrentYear ": " % % OBJNAME ? % % EPSEstimateCurrentYear.visible ": false, " EPSEstimateNextYear ": " % % OBJNAME ? % % EPSEstimateNextYear.visible ": false, " EPSEstimateNextQuarter ": " % % OBJNAME ? % % EPSEstimateNextQuarter.visible ": false, " EPSEstimateCurrentQuarter ": " % % OBJNAME ? % % EPSEstimateCurrentQuarter.visible ": false, " MostRecentQuarter ": " % % OBJNAME ? % % MostRecentQuarter.visible ": false, " ProfitMargin ": " % % OBJNAME ? % % ProfitMargin.visible ": false, " OperatingMarginTTM ": " % % OBJNAME ? % % OperatingMarginTTM.visible ": false, " ReturnOnAssetsTTM ": " % % OBJNAME ? % % ReturnOnAssetsTTM.visible ": false, " ReturnOnEquityTTM ": " % % OBJNAME ? % % ReturnOnEquityTTM.visible ": false, " RevenueTTM ": " % % OBJNAME ? % % RevenueTTM.visible ": false, " RevenuePerShareTTM ": " % % OBJNAME ? % % RevenuePerShareTTM.visible ": false, " QuarterlyRevenueGrowthYOY ": " % % OBJNAME ? % % QuarterlyRevenueGrowthYOY.visible ": false, " GrossProfitTTM ": " % % OBJNAME ? % % GrossProfitTTM.visible ": false, " DilutedEpsTTM ": " % % OBJNAME ? % % DilutedEpsTTM.visible ": false, " QuarterlyEarningsGrowthYOY ": " % % OBJNAME ? % % QuarterlyEarningsGrowthYOY.visible ": false, " Shape.visible ": false, " bgshape.visible ": false }, " ? ": { " earningsimpactid ": " % % OBJNAME ? % % earningsimpactid.visible ": false, " sample_size ": " % % OBJNAME ? % % sample_size.visible ": false, " impactcompany ": " % % OBJNAME ? % % impactcompany.visible ": false, " impactcompany_name ": " % % OBJNAME ? % % impactcompany_name.visible ": false, " impactcompany_sector ": " % % OBJNAME ? % % impactcompany_sector.visible ": false, " impactcompany_industry ": " % % OBJNAME ? % % impactcompany_industry.visible ": false, " opportunities ": " % % OBJNAME ? % % opportunities.visible ": false, " Code ": " % % OBJNAME ? % % Code.visible ": false, " Type ": " % % OBJNAME ? % % Type.visible ": false, " Name ": " % % OBJNAME ? % % Name.visible ": false, " Exchange ": " % % OBJNAME ? % % Exchange.visible ": false, " CurrencyCode ": " % % OBJNAME ? % % CurrencyCode.visible ": false, " CurrencyName ": " % % OBJNAME ? % % CurrencyName.visible ": false, " CurrencySymbol ": " % % OBJNAME ? % % CurrencySymbol.visible ": false, " CountryName ": " % % OBJNAME ? % % CountryName.visible ": false, " CountryISO ": " % % OBJNAME ? % % CountryISO.visible ": false, " OpenFigi ": " % % OBJNAME ? % % OpenFigi.visible ": false, " ISIN ": " % % OBJNAME ? % % ISIN.visible ": false, " LEI ": " % % OBJNAME ? % % LEI.visible ": false, " PrimaryTicker ": " % % OBJNAME ? % % PrimaryTicker.visible ": false, " CUSIP ": " % % OBJNAME ? % % CUSIP.visible ": false, " CIK ": " % % OBJNAME ? % % CIK.visible ": false, " EmployerIdNumber ": " % % OBJNAME ? % % EmployerIdNumber.visible ": false, " FiscalYearEnd ": " % % OBJNAME ? % % FiscalYearEnd.visible ": false, " IPODate ": " % % OBJNAME ? % % IPODate.visible ": false, " InternationalDomestic ": " % % OBJNAME ? % % InternationalDomestic.visible ": false, " Sector ": " % % OBJNAME ? % % Sector.visible ": false, " Industry ": " % % OBJNAME ? % % Industry.visible ": false, " GicSector ": " % % OBJNAME ? % % GicSector.visible ": false, " GicGroup ": " % % OBJNAME ? % % GicGroup.visible ": false, " GicIndustry ": " % % OBJNAME ? % % GicIndustry.visible ": false, " GicSubIndustry ": " % % OBJNAME ? % % GicSubIndustry.visible ": false, " HomeCategory ": " % % OBJNAME ? % % HomeCategory.visible ": false, " IsDelisted ": " % % OBJNAME ? % % IsDelisted.visible ": false, " Description ": " % % OBJNAME ? % % Description.visible ": false, " Address ": " % % OBJNAME ? % % Address.visible ": false, " Phone ": " % % OBJNAME ? % % Phone.visible ": false, " WebURL ": " % % OBJNAME ? % % WebURL.visible ": false, " LogoURL ": " % % OBJNAME ? % % LogoURL.visible ": false, " FullTimeEmployees ": " % % OBJNAME ? % % FullTimeEmployees.visible ": false, " UpdatedAt ": " % % OBJNAME ? % % UpdatedAt.visible ": false, " MarketCapitalization ": " % % OBJNAME ? % % MarketCapitalization.visible ": false, " MarketCapitalizationMln ": " % % OBJNAME ? % % MarketCapitalizationMln.visible ": false, " EBITDA ": " % % OBJNAME ? % % EBITDA.visible ": false, " PERatio ": " % % OBJNAME ? % % PERatio.visible ": false, " PEGRatio ": " % % OBJNAME ? % % PEGRatio.visible ": false, " WallStreetTargetPrice ": " % % OBJNAME ? % % WallStreetTargetPrice.visible ": false, " BookValue ": " % % OBJNAME ? % % BookValue.visible ": false, " DividendShare ": " % % OBJNAME ? % % DividendShare.visible ": false, " DividendYield ": " % % OBJNAME ? % % DividendYield.visible ": false, " EarningsShare ": " % % OBJNAME ? % % EarningsShare.visible ": false, " EPSEstimateCurrentYear ": " % % OBJNAME ? % % EPSEstimateCurrentYear.visible ": false, " EPSEstimateNextYear ": " % % OBJNAME ? % % EPSEstimateNextYear.visible ": false, " EPSEstimateNextQuarter ": " % % OBJNAME ? % % EPSEstimateNextQuarter.visible ": false, " EPSEstimateCurrentQuarter ": " % % OBJNAME ? % % EPSEstimateCurrentQuarter.visible ": false, " MostRecentQuarter ": " % % OBJNAME ? % % MostRecentQuarter.visible ": false, " ProfitMargin ": " % % OBJNAME ? % % ProfitMargin.visible ": false, " OperatingMarginTTM ": " % % OBJNAME ? % % OperatingMarginTTM.visible ": false, " ReturnOnAssetsTTM ": " % % OBJNAME ? % % ReturnOnAssetsTTM.visible ": false, " ReturnOnEquityTTM ": " % % OBJNAME ? % % ReturnOnEquityTTM.visible ": false, " RevenueTTM ": " % % OBJNAME ? % % RevenueTTM.visible ": false, " RevenuePerShareTTM ": " % % OBJNAME ? % % RevenuePerShareTTM.visible ": false, " QuarterlyRevenueGrowthYOY ": " % % OBJNAME ? % % QuarterlyRevenueGrowthYOY.visible ": false, " GrossProfitTTM ": " % % OBJNAME ? % % GrossProfitTTM.visible ": false, " DilutedEpsTTM ": " % % OBJNAME ? % % DilutedEpsTTM.visible ": false, " QuarterlyEarningsGrowthYOY ": " % % OBJNAME ? % % QuarterlyEarningsGrowthYOY.visible ": false, " Shape.visible ": false, " bgshape.visible ": false }, " ? ": { " earningsimpactid ": " % % OBJNAME ? % % earningsimpactid.visible ": false, " sample_size ": " % % OBJNAME ? % % sample_size.visible ": false, " impactcompany ": " % % OBJNAME ? % % impactcompany.visible ": false, " impactcompany_name ": " % % OBJNAME ? % % impactcompany_name.visible ": false, " impactcompany_sector ": " % % OBJNAME ? % % impactcompany_sector.visible ": false, " impactcompany_industry ": " % % OBJNAME ? % % impactcompany_industry.visible ": false, " opportunities ": " % % OBJNAME ? % % opportunities.visible ": false, " Code ": " % % OBJNAME ? % % Code.visible ": false, " Type ": " % % OBJNAME ? % % Type.visible ": false, " Name ": " % % OBJNAME ? % % Name.visible ": false, " Exchange ": " % % OBJNAME ? % % Exchange.visible ": false, " CurrencyCode ": " % % OBJNAME ? % % CurrencyCode.visible ": false, " CurrencyName ": " % % OBJNAME ? % % CurrencyName.visible ": false, " CurrencySymbol ": " % % OBJNAME ? % % CurrencySymbol.visible ": false, " CountryName ": " % % OBJNAME ? % % CountryName.visible ": false, " CountryISO ": " % % OBJNAME ? % % CountryISO.visible ": false, " OpenFigi ": " % % OBJNAME ? % % OpenFigi.visible ": false, " ISIN ": " % % OBJNAME ? % % ISIN.visible ": false, " LEI ": " % % OBJNAME ? % % LEI.visible ": false, " PrimaryTicker ": " % % OBJNAME ? % % PrimaryTicker.visible ": false, " CUSIP ": " % % OBJNAME ? % % CUSIP.visible ": false, " CIK ": " % % OBJNAME ? % % CIK.visible ": false, " EmployerIdNumber ": " % % OBJNAME ? % % EmployerIdNumber.visible ": false, " FiscalYearEnd ": " % % OBJNAME ? % % FiscalYearEnd.visible ": false, " IPODate ": " % % OBJNAME ? % % IPODate.visible ": false, " InternationalDomestic ": " % % OBJNAME ? % % InternationalDomestic.visible ": false, " Sector ": " % % OBJNAME ? % % Sector.visible ": false, " Industry ": " % % OBJNAME ? % % Industry.visible ": false, " GicSector ": " % % OBJNAME ? % % GicSector.visible ": false, " GicGroup ": " % % OBJNAME ? % % GicGroup.visible ": false, " GicIndustry ": " % % OBJNAME ? % % GicIndustry.visible ": false, " GicSubIndustry ": " % % OBJNAME ? % % GicSubIndustry.visible ": false, " HomeCategory ": " % % OBJNAME ? % % HomeCategory.visible ": false, " IsDelisted ": " % % OBJNAME ? % % IsDelisted.visible ": false, " Description ": " % % OBJNAME ? % % Description.visible ": false, " Address ": " % % OBJNAME ? % % Address.visible ": false, " Phone ": " % % OBJNAME ? % % Phone.visible ": false, " WebURL ": " % % OBJNAME ? % % WebURL.visible ": false, " LogoURL ": " % % OBJNAME ? % % LogoURL.visible ": false, " FullTimeEmployees ": " % % OBJNAME ? % % FullTimeEmployees.visible ": false, " UpdatedAt ": " % % OBJNAME ? % % UpdatedAt.visible ": false, " MarketCapitalization ": " % % OBJNAME ? % % MarketCapitalization.visible ": false, " MarketCapitalizationMln ": " % % OBJNAME ? % % MarketCapitalizationMln.visible ": false, " EBITDA ": " % % OBJNAME ? % % EBITDA.visible ": false, " PERatio ": " % % OBJNAME ? % % PERatio.visible ": false, " PEGRatio ": " % % OBJNAME ? % % PEGRatio.visible ": false, " WallStreetTargetPrice ": " % % OBJNAME ? % % WallStreetTargetPrice.visible ": false, " BookValue ": " % % OBJNAME ? % % BookValue.visible ": false, " DividendShare ": " % % OBJNAME ? % % DividendShare.visible ": false, " DividendYield ": " % % OBJNAME ? % % DividendYield.visible ": false, " EarningsShare ": " % % OBJNAME ? % % EarningsShare.visible ": false, " EPSEstimateCurrentYear ": " % % OBJNAME ? % % EPSEstimateCurrentYear.visible ": false, " EPSEstimateNextYear ": " % % OBJNAME ? % % EPSEstimateNextYear.visible ": false, " EPSEstimateNextQuarter ": " % % OBJNAME ? % % EPSEstimateNextQuarter.visible ": false, " EPSEstimateCurrentQuarter ": " % % OBJNAME ? % % EPSEstimateCurrentQuarter.visible ": false, " MostRecentQuarter ": " % % OBJNAME ? % % MostRecentQuarter.visible ": false, " ProfitMargin ": " % % OBJNAME ? % % ProfitMargin.visible ": false, " OperatingMarginTTM ": " % % OBJNAME ? % % OperatingMarginTTM.visible ": false, " ReturnOnAssetsTTM ": " % % OBJNAME ? % % ReturnOnAssetsTTM.visible ": false, " ReturnOnEquityTTM ": " % % OBJNAME ? % % ReturnOnEquityTTM.visible ": false, " RevenueTTM ": " % % OBJNAME ? % % RevenueTTM.visible ": false, " RevenuePerShareTTM ": " % % OBJNAME ? % % RevenuePerShareTTM.visible ": false, " QuarterlyRevenueGrowthYOY ": " % % OBJNAME ? % % QuarterlyRevenueGrowthYOY.visible ": false, " GrossProfitTTM ": " % % OBJNAME ? % % GrossProfitTTM.visible ": false, " DilutedEpsTTM ": " % % OBJNAME ? % % DilutedEpsTTM.visible ": false, " QuarterlyEarningsGrowthYOY ": " % % OBJNAME ? % % QuarterlyEarningsGrowthYOY.visible ": false, " Shape.visible ": false, " bgshape.visible ": false } } }, " text ": { " title ": " u062a u0623 u062b u064a u0631 u0625 u0639 u0644 u0627 u0646 u0623 u0631 u0628 u0627 u062d u0634 u0631 u0643 u0629 The Allstate Corporation (ALL) ", " short_text ": " u062a u064f u0635 u062f u0631 u0634 u0631 u0643 u0629 The Allstate Corporation (ALL) u0646 u062a u0627 u0626 u062c u0623 u0631 u0628 u0627 u062d u0647 u0627 u0627 u0644 u064a u0648 u0645 u060c u0648 u0645 u0646 u0627 u0644 u0645 u062a u0648 u0642 u0639 u0623 u0646 u062a u0624 u062b u0631 u0639 u0644 u0649 u0627 u0644 u0623 u0633 u0647 u0645 u0627 u0644 u062a u0627 u0644 u064a u0629: n - W. R. Berkley Corp (WRB) n - The Travelers Companies Inc (TRV) n - Loews Corp (L) n - Cincinnati Financial Corporation (CINF) n - Chubb Ltd (CB) n ", " long_text ": " u062a u064f u0635 u062f u0631 u0634 u0631 u0643 u0629 the allstate corporation (all) u0646 u062a u0627 u0626 u062c u0623 u0631 u0628 u0627 u062d u0647 u0627 u0627 u0644 u064a u0648 u0645. u0639 u0646 u062f u0645 u0627 u062a u0643 u0648 u0646 u0631 u0628 u062d u064a u0629 u0627 u0644 u0633 u0647 u0645 (eps) > u0645 u0646 u0627 u0644 u0645 u062a u0648 u0642 u0639 u060c u064a u0643 u0648 u0646 u0644 u062f u0649 all u0627 u062d u062a u0645 u0627 u0644 u0628 u0646 u0633 u0628 u0629 u200f u200e78 % u200e u200f u0644 u062d u062f u0648 u062b u062a u062d u0631 u0643 u0628 u0646 u0633 u0628 u0629 u200f u200e ? % u200e u200f u062e u0644 u0627 u0644 u0627 u0644 u0634 u0647 u0631 u0627 u0644 u062a u0627 u0644 u064a u0644 u0647 u0630 u0627 u0627 u0644 u0625 u0639 u0644 u0627 u0646. / u0641 u064a u0627 u0644 u0625 u0639 u0644 u0627 u0646 u0627 u062a u0627 u0644 u0633 u0627 u0628 u0642 u0629 u0627 u0644 u062a u064a u0643 u0627 u0646 u[...];Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Feb 04 12 1 0ms 0ms 15 0ms 406 0ms 0ms 0ms with rar_max as ( 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;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Feb 04 12 406 0ms 0ms 16 0ms 24 0ms 0ms 0ms select distinct classname, to_char(created_datetime, ?), to_char(cleared_datetime, ?), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = ? or cleared_datetime > current_timestamp - interval ?) order by created_datetime desc;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Feb 04 12 24 0ms 0ms 17 0ms 16 0ms 0ms 0ms with max_ra as ( select resultuid from relevance_fibonacci_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 left outer join relevance_fibonacci_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 fibonacci_results a on a.resultuid = s.result_uid where s.uuid ilike ? and a.resultuid is null);Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Feb 04 12 16 0ms 0ms 18 0ms 3 0ms 0ms 0ms select port from brokermt4authservers where brokerid = ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Feb 04 12 3 0ms 0ms 19 0ms 229 0ms 0ms 0ms set statement_timeout = ?;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Feb 04 12 229 0ms 0ms 20 0ms 60 0ms 0ms 0ms select id, schedule from processes where enabled = true and schedule is not null;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Feb 04 12 60 0ms 0ms Most frequent queries (N)
Rank Times executed Total duration Min duration Max duration Avg duration Query 1 45,406 0ms 0ms 0ms 0ms select ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Feb 04 12 45,406 0ms 0ms 2 29,712 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 #2
Day Hour Count Duration Avg duration Feb 04 12 29,712 0ms 0ms 3 11,211 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 #3
Day Hour Count Duration Avg duration Feb 04 12 11,211 0ms 0ms 4 8,333 0ms 0ms 0ms 0ms set extra_float_digits = ?;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Feb 04 12 8,333 0ms 0ms 5 8,306 0ms 0ms 0ms 0ms set application_name = ?;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Feb 04 12 8,306 0ms 0ms 6 7,864 0ms 0ms 0ms 0ms insert into executionlogs (executionid, status, message, details, detailtype) values (null, ?, ?, null, null);Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Feb 04 12 7,864 0ms 0ms 7 7,455 0ms 0ms 0ms 0ms insert into autochartist_results (resultid, symbolid, bandwidth, pattern, qtytp, gmttimefound, direction, initialtrend, breakout, volumeincrease, noise, symmetry, predictionpricefrom, predictionpriceto, predictiontimefrom, predictiontimeto, patternstarttime, patternendtime, patternstartprice, patternendprice, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, supportgradient, resgradient, riskreward, patternquality, trendchange, maxmovementafterbreakout, latestbaratbreakouttime, latestbaratbreakoutprice, patternlengthbars, temporarypattern, relevancestartdistance, simulation, writtendatetime) values (?, ?, ?.?, ?, ?, ?::timestamp without time zone, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?.?, ?.?, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?, ?.?, ?::timestamp without time zone, ?.?, ?, ?, ?.?, ?, current_timestamp::timestamp without time zone) on conflict do nothing;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Feb 04 12 7,455 0ms 0ms 8 5,999 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 #8
Day Hour Count Duration Avg duration Feb 04 12 5,999 0ms 0ms 9 5,731 0ms 0ms 0ms 0ms with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ) select a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternstartprice, patternendprice, qtytp, newlevels.profit, newlevels.stop, newlevels.filtered, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from autochartist_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern inner join rar_max rm on ? = ? left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid left join lateral calc_cp_signal (a.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Feb 04 12 5,731 0ms 0ms 10 3,389 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 #10
Day Hour Count Duration Avg duration Feb 04 12 3,389 0ms 0ms 11 3,036 0ms 0ms 0ms 0ms insert into keylevels_results (bandwidth, breakout, patternid, gmttimefound, approachingtimestamp, approachingregion, qtytp, patternlengthbars, patternprice, x0, x1, x2, x3, x4, x5, x6, x7, x8, x9, breakoutbars, breakoutprice, patternendtime, atbaridentified, atpriceidentified, errormargin, direction, symbolid, predictionpricefrom, predictionpriceto, predictiontimefrom, predictiontimebars, uniquepointsvalue, furthestprice, relevancestartdistance, patternclassid, patternstarttime, stoplosslevel, simulation, writtendatetime) values (?.?, ?, ?, ?::timestamp without time zone, ?, ?.?, ?, ?, ?.?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?.?, ?::timestamp without time zone, ?, ?.?, ?.?, ?, ?, ?.?, ?.?, ?::timestamp without time zone, ?, ?, ?.?, ?.?, ?, ?, ?.?, ?, current_timestamp::timestamp without time zone) on conflict do nothing;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Feb 04 12 3,036 0ms 0ms 12 2,734 0ms 0ms 0ms 0ms insert into fibonacci_results (bandwidth, pattern, gmttimefound, direction, patternstarttime, patternendtime, patternstartprice, patternendprice, qtytp, pricex, timex, pricea, timea, priceb, timeb, pricec, timec, priced, timed, averagequality, timequality, errormargin, patternlengthbars, target10, target06, target16, target07, target12, target05, target03, symbolid, noise, ratiosfound, temporarypattern, uniqueindex, completed, simulation, writtendatetime) values (?.?, ?, ?::timestamp without time zone, ?, ?::timestamp without time zone, ?::timestamp without time zone, ?.?, ?.?, ?, ?.?, ?::timestamp without time zone, ?.?, ?::timestamp without time zone, ?.?, ?::timestamp without time zone, ?.?, ?::timestamp without time zone, ?.?, ?::timestamp without time zone, ?.?, ?.?, ?.?, ?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?.?, ?, ?.?, ?, ?, ?, ?, ?, current_timestamp::timestamp without time zone) on conflict do nothing;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Feb 04 12 2,734 0ms 0ms 13 2,636 0ms 0ms 0ms 0ms update patternresultsrelevance set relevant = ?, saxo_relevant = ?, notrelevantpricedatetime = ?, reason = ? where uniqueindex = ? and relevant = ?;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Feb 04 12 2,636 0ms 0ms 14 2,216 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 #14
Day Hour Count Duration Avg duration Feb 04 12 2,216 0ms 0ms 15 1,629 0ms 0ms 0ms 0ms with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ) select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as ruid, s.symbolid as sid, s.symbol as sym, longname, shortname, exchange as e, timegranularity as tg, a.patternid as pid, a.direction as d, a.patternprice as pp, atbaridentified as pet, case when (x9 != ?) then x9 when (x8 != ?) then x8 when (x7 != ?) then x7 when (x6 != ?) then x6 when (x5 != ?) then x5 when (x4 != ?) then x4 when (x3 != ?) then x3 when (x2 != ?) then x2 end as pst, patternprice as patp, x0, x1, x2, case when (x3 != ?) then x3 else ? end as x3, case when (x4 != ?) then x4 else ? end as x4, case when (x5 != ?) then x5 else ? end as x5, case when (x6 != ?) then x6 else ? end as x6, case when (x7 != ?) then x7 else ? end as x7, case when (x8 != ?) then x8 else ? end as x8, errormargin as erm, breakoutprice as pe, breakoutbars as be, breakout, atbaridentified as atbar, atpriceidentified as atprice, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzos, dtt.timezone as timezone, approachingtimestamp as apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, furthestprice as fp, newlevels.filtered, a.uniquepointsvalue as upv, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from keylevels_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join hrspatterns p on a.patternid = p.patternid inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on a.resultuid = rar.resultuid left join lateral calc_kl_signal_filter (a.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Feb 04 12 1,629 0ms 0ms 16 1,335 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 #16
Day Hour Count Duration Avg duration Feb 04 12 1,335 0ms 0ms 17 1,229 0ms 0ms 0ms 0ms select symbolid, pricedatetime, classname, downloadfrequency, downloadersymbol, open, high, low, close, volume, bsf, sastdatetimereceived from ( select pricedatetime, dss.classname, dss.downloadfrequency, dss.symbolid, dss.downloadersymbol, t.open, t.high, t.low, t.close, t.volume, t.bsf, t.sastdatetimereceived, row_number() over (partition by t.symbolid order by t.pricedatetime desc) as rn from t15 t, downloadersymbolsettings dss, symbols s where dss.classname = ? and dss.downloadfrequency = ? and dss.symbolid = t.symbolid and s.symbolid = dss.symbolid and dss.enabled = ? and s.deleted = ? and dss.downloadersymbol in (...) and t.pricedatetime > now() - interval ?) as ranked_candles_table where rn = ?;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Feb 04 12 1,229 0ms 0ms 18 1,140 0ms 0ms 0ms 0ms select * from status_perbroker;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Feb 04 12 1,140 0ms 0ms 19 714 0ms 0ms 0ms 0ms select ew.processid, "Errors", "Warnings" from quantity_errors_warnings_perprocess ew;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Feb 04 12 714 0ms 0ms 20 695 0ms 0ms 0ms 0ms select t.pricedatetime as pricedatetime, t.open as open, t.high as high, t.low as low, t.close "..." close, t.volume as volume, t.bsf as bsf from t60 t where t.symbolid = ? and (bsf = ? or bsf is null) and pricedatetime >= ? and pricedatetime <= ? order by pricedatetime desc limit ?;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Feb 04 12 695 0ms 0ms Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 0ms 0ms 0ms 51 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 Feb 04 12 51 0ms 0ms 2 0ms 0ms 0ms 320 0ms with rar_max as ( select resultuid from relevance_bigmovement_results order by resultuid desc limit ? ) select bmr.symbolid, patternstarttime, patternendtime, timegranularity, ? as direction, case when bmr.old_resultuid = ? then bmr.old_resultuid else bmr.resultuid end as uid, s.exchange, s.symbol, s.longname, s.shortname, dtt.timezone, bmr.patternmovement, bmr.statisticalmovement, bmr.fromprice, bmr.toprice, bmr.percentile, bmr.patternlengthbars, case when rbr.age is not null then rbr.age when bmr.resultuid <= rm.resultuid then ? else ? end as age, case when rbr.relevant is not null then rbr.relevant when bmr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from bigmovement_results bmr inner join downloadersymbolsettings dss on bmr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on bmr.symbolid = s.symbolid inner join rar_max rm on ? = ? left outer join relevance_bigmovement_results rbr on rbr.resultuid = bmr.resultuid left join currencypips cps on cps.symbol = s.symbol where (bmr.old_resultuid = ? or bmr.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Feb 04 12 320 0ms 0ms 3 0ms 0ms 0ms 2,216 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 Feb 04 12 2,216 0ms 0ms 4 0ms 0ms 0ms 4 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 #4
Day Hour Count Duration Avg duration Feb 04 12 4 0ms 0ms 5 0ms 0ms 0ms 4 0ms select updaterelevantforrelevantresults ();Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Feb 04 12 4 0ms 0ms 6 0ms 0ms 0ms 9 0ms set datestyle = iso;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Feb 04 12 9 0ms 0ms 7 0ms 0ms 0ms 9 0ms set client_encoding to ?;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Feb 04 12 9 0ms 0ms 8 0ms 0ms 0ms 18 0ms select cast(count(*) / cast(setting as numeric) * ? as int) from pg_stat_activity, pg_settings where name = ? group by setting;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Feb 04 12 18 0ms 0ms 9 0ms 0ms 0ms 400 0ms commit;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Feb 04 12 400 0ms 0ms 10 0ms 0ms 0ms 453 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 #10
Day Hour Count Duration Avg duration Feb 04 12 453 0ms 0ms 11 0ms 0ms 0ms 240 0ms select count(*), sum(size), extract(epoch from now() - min(modification)) from pg_ls_waldir ();Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Feb 04 12 240 0ms 0ms 12 0ms 0ms 0ms 240 0ms select system_identifier from pg_control_system ();Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Feb 04 12 240 0ms 0ms 13 0ms 0ms 0ms 10 0ms select groupid, exchange, groupname, symbol, longname from prfsymboltree where brokerid = ? order by groupname, symbol;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Feb 04 12 10 0ms 0ms 14 0ms 0ms 0ms 1 0ms insert into executionlogs (executionid, status, message, details, detailtype) values (?, ?, ?, ? ' compensation, automobile, umbrella, financial lines, professional and management liability, environmental, international coverages, property and casualty, commercial marine, and risk management products and services. It also offers homeowners, automobile and collector cars, valuable articles, personal and excess liability, travel insurance, cyber, and recreational marine insurance and services. In addition, the company provides multiple peril crop insurance and crop - hail insurance for farm, ranch, and specialty property and casualty, and commercial agriculture products; and property insurance products, including traditional commercial fire coverage, as well as energy industry - related, construction, and other technical coverages; personal accident and supplemental medical coverages, such as accidental death, business / holiday travel, specified disease, disability, medical and hospital indemnity, and income protection; and professional indemnity, cyber, surety, aviation, political risk, and specialty personal lines products. Further, the company offers property catastrophe reinsurance, traditional and specialty P & C reinsurance; and protection and savings products, which includes whole life, universal life, unit linked contracts, endowment plans, individual and group term life, dental, critical illness, dementia, hospital cash, personal accident, credit life, and group employee benefits. The company was formerly known as ACE Limited and changed its name to Chubb Limited in January ?.Chubb Limited was incorporated in ? and is headquartered in Zurich, Switzerland. ", " Address ": " Baerengasse ?, Zurich, Switzerland, ? ", " Phone ": " ? ? ? ? ? ", " WebURL ": " https: // www.chubb.com / us - en ", " LogoURL ": " https: // eodhistoricaldata.com / img / logos / US / cb.png ", " FullTimeEmployees ": ?, " UpdatedAt ": " ? - 02 - 03 ", " MarketCapitalization ": ?, " MarketCapitalizationMln ": ?.?, " EBITDA ": ?, " PERatio ": ?.?, " PEGRatio ": ?.?, " WallStreetTargetPrice ": ?.?, " BookValue ": ?.?, " DividendShare ": ?.?, " DividendYield ": ?.?, " EarningsShare ": ?.?, " EPSEstimateCurrentYear ": ?.?, " EPSEstimateNextYear ": ?.?, " EPSEstimateNextQuarter ": ?.?, " EPSEstimateCurrentQuarter ": ?.?, " MostRecentQuarter ": " ? - 09 - 30 ", " ProfitMargin ": ?.?, " OperatingMarginTTM ": ?.?, " ReturnOnAssetsTTM ": ?.?, " ReturnOnEquityTTM ": ?.?, " RevenueTTM ": ?, " RevenuePerShareTTM ": ?.?, " QuarterlyRevenueGrowthYOY ": ?.?, " GrossProfitTTM ": ?, " DilutedEpsTTM ": ?.?, " QuarterlyEarningsGrowthYOY ": ?.? }, " ? ": { " earningsimpactid ": " % % OBJNAME ? % % earningsimpactid.visible ": false, " sample_size ": " % % OBJNAME ? % % sample_size.visible ": false, " impactcompany ": " % % OBJNAME ? % % impactcompany.visible ": false, " impactcompany_name ": " % % OBJNAME ? % % impactcompany_name.visible ": false, " impactcompany_sector ": " % % OBJNAME ? % % impactcompany_sector.visible ": false, " impactcompany_industry ": " % % OBJNAME ? % % impactcompany_industry.visible ": false, " opportunities ": " % % OBJNAME ? % % opportunities.visible ": false, " Code ": " % % OBJNAME ? % % Code.visible ": false, " Type ": " % % OBJNAME ? % % Type.visible ": false, " Name ": " % % OBJNAME ? % % Name.visible ": false, " Exchange ": " % % OBJNAME ? % % Exchange.visible ": false, " CurrencyCode ": " % % OBJNAME ? % % CurrencyCode.visible ": false, " CurrencyName ": " % % OBJNAME ? % % CurrencyName.visible ": false, " CurrencySymbol ": " % % OBJNAME ? % % CurrencySymbol.visible ": false, " CountryName ": " % % OBJNAME ? % % CountryName.visible ": false, " CountryISO ": " % % OBJNAME ? % % CountryISO.visible ": false, " OpenFigi ": " % % OBJNAME ? % % OpenFigi.visible ": false, " ISIN ": " % % OBJNAME ? % % ISIN.visible ": false, " LEI ": " % % OBJNAME ? % % LEI.visible ": false, " PrimaryTicker ": " % % OBJNAME ? % % PrimaryTicker.visible ": false, " CUSIP ": " % % OBJNAME ? % % CUSIP.visible ": false, " CIK ": " % % OBJNAME ? % % CIK.visible ": false, " EmployerIdNumber ": " % % OBJNAME ? % % EmployerIdNumber.visible ": false, " FiscalYearEnd ": " % % OBJNAME ? % % FiscalYearEnd.visible ": false, " IPODate ": " % % OBJNAME ? % % IPODate.visible ": false, " InternationalDomestic ": " % % OBJNAME ? % % InternationalDomestic.visible ": false, " Sector ": " % % OBJNAME ? % % Sector.visible ": false, " Industry ": " % % OBJNAME ? % % Industry.visible ": false, " GicSector ": " % % OBJNAME ? % % GicSector.visible ": false, " GicGroup ": " % % OBJNAME ? % % GicGroup.visible ": false, " GicIndustry ": " % % OBJNAME ? % % GicIndustry.visible ": false, " GicSubIndustry ": " % % OBJNAME ? % % GicSubIndustry.visible ": false, " HomeCategory ": " % % OBJNAME ? % % HomeCategory.visible ": false, " IsDelisted ": " % % OBJNAME ? % % IsDelisted.visible ": false, " Description ": " % % OBJNAME ? % % Description.visible ": false, " Address ": " % % OBJNAME ? % % Address.visible ": false, " Phone ": " % % OBJNAME ? % % Phone.visible ": false, " WebURL ": " % % OBJNAME ? % % WebURL.visible ": false, " LogoURL ": " % % OBJNAME ? % % LogoURL.visible ": false, " FullTimeEmployees ": " % % OBJNAME ? % % FullTimeEmployees.visible ": false, " UpdatedAt ": " % % OBJNAME ? % % UpdatedAt.visible ": false, " MarketCapitalization ": " % % OBJNAME ? % % MarketCapitalization.visible ": false, " MarketCapitalizationMln ": " % % OBJNAME ? % % MarketCapitalizationMln.visible ": false, " EBITDA ": " % % OBJNAME ? % % EBITDA.visible ": false, " PERatio ": " % % OBJNAME ? % % PERatio.visible ": false, " PEGRatio ": " % % OBJNAME ? % % PEGRatio.visible ": false, " WallStreetTargetPrice ": " % % OBJNAME ? % % WallStreetTargetPrice.visible ": false, " BookValue ": " % % OBJNAME ? % % BookValue.visible ": false, " DividendShare ": " % % OBJNAME ? % % DividendShare.visible ": false, " DividendYield ": " % % OBJNAME ? % % DividendYield.visible ": false, " EarningsShare ": " % % OBJNAME ? % % EarningsShare.visible ": false, " EPSEstimateCurrentYear ": " % % OBJNAME ? % % EPSEstimateCurrentYear.visible ": false, " EPSEstimateNextYear ": " % % OBJNAME ? % % EPSEstimateNextYear.visible ": false, " EPSEstimateNextQuarter ": " % % OBJNAME ? % % EPSEstimateNextQuarter.visible ": false, " EPSEstimateCurrentQuarter ": " % % OBJNAME ? % % EPSEstimateCurrentQuarter.visible ": false, " MostRecentQuarter ": " % % OBJNAME ? % % MostRecentQuarter.visible ": false, " ProfitMargin ": " % % OBJNAME ? % % ProfitMargin.visible ": false, " OperatingMarginTTM ": " % % OBJNAME ? % % OperatingMarginTTM.visible ": false, " ReturnOnAssetsTTM ": " % % OBJNAME ? % % ReturnOnAssetsTTM.visible ": false, " ReturnOnEquityTTM ": " % % OBJNAME ? % % ReturnOnEquityTTM.visible ": false, " RevenueTTM ": " % % OBJNAME ? % % RevenueTTM.visible ": false, " RevenuePerShareTTM ": " % % OBJNAME ? % % RevenuePerShareTTM.visible ": false, " QuarterlyRevenueGrowthYOY ": " % % OBJNAME ? % % QuarterlyRevenueGrowthYOY.visible ": false, " GrossProfitTTM ": " % % OBJNAME ? % % GrossProfitTTM.visible ": false, " DilutedEpsTTM ": " % % OBJNAME ? % % DilutedEpsTTM.visible ": false, " QuarterlyEarningsGrowthYOY ": " % % OBJNAME ? % % QuarterlyEarningsGrowthYOY.visible ": false, " Shape.visible ": false, " bgshape.visible ": false }, " ? ": { " earningsimpactid ": " % % OBJNAME ? % % earningsimpactid.visible ": false, " sample_size ": " % % OBJNAME ? % % sample_size.visible ": false, " impactcompany ": " % % OBJNAME ? % % impactcompany.visible ": false, " impactcompany_name ": " % % OBJNAME ? % % impactcompany_name.visible ": false, " impactcompany_sector ": " % % OBJNAME ? % % impactcompany_sector.visible ": false, " impactcompany_industry ": " % % OBJNAME ? % % impactcompany_industry.visible ": false, " opportunities ": " % % OBJNAME ? % % opportunities.visible ": false, " Code ": " % % OBJNAME ? % % Code.visible ": false, " Type ": " % % OBJNAME ? % % Type.visible ": false, " Name ": " % % OBJNAME ? % % Name.visible ": false, " Exchange ": " % % OBJNAME ? % % Exchange.visible ": false, " CurrencyCode ": " % % OBJNAME ? % % CurrencyCode.visible ": false, " CurrencyName ": " % % OBJNAME ? % % CurrencyName.visible ": false, " CurrencySymbol ": " % % OBJNAME ? % % CurrencySymbol.visible ": false, " CountryName ": " % % OBJNAME ? % % CountryName.visible ": false, " CountryISO ": " % % OBJNAME ? % % CountryISO.visible ": false, " OpenFigi ": " % % OBJNAME ? % % OpenFigi.visible ": false, " ISIN ": " % % OBJNAME ? % % ISIN.visible ": false, " LEI ": " % % OBJNAME ? % % LEI.visible ": false, " PrimaryTicker ": " % % OBJNAME ? % % PrimaryTicker.visible ": false, " CUSIP ": " % % OBJNAME ? % % CUSIP.visible ": false, " CIK ": " % % OBJNAME ? % % CIK.visible ": false, " EmployerIdNumber ": " % % OBJNAME ? % % EmployerIdNumber.visible ": false, " FiscalYearEnd ": " % % OBJNAME ? % % FiscalYearEnd.visible ": false, " IPODate ": " % % OBJNAME ? % % IPODate.visible ": false, " InternationalDomestic ": " % % OBJNAME ? % % InternationalDomestic.visible ": false, " Sector ": " % % OBJNAME ? % % Sector.visible ": false, " Industry ": " % % OBJNAME ? % % Industry.visible ": false, " GicSector ": " % % OBJNAME ? % % GicSector.visible ": false, " GicGroup ": " % % OBJNAME ? % % GicGroup.visible ": false, " GicIndustry ": " % % OBJNAME ? % % GicIndustry.visible ": false, " GicSubIndustry ": " % % OBJNAME ? % % GicSubIndustry.visible ": false, " HomeCategory ": " % % OBJNAME ? % % HomeCategory.visible ": false, " IsDelisted ": " % % OBJNAME ? % % IsDelisted.visible ": false, " Description ": " % % OBJNAME ? % % Description.visible ": false, " Address ": " % % OBJNAME ? % % Address.visible ": false, " Phone ": " % % OBJNAME ? % % Phone.visible ": false, " WebURL ": " % % OBJNAME ? % % WebURL.visible ": false, " LogoURL ": " % % OBJNAME ? % % LogoURL.visible ": false, " FullTimeEmployees ": " % % OBJNAME ? % % FullTimeEmployees.visible ": false, " UpdatedAt ": " % % OBJNAME ? % % UpdatedAt.visible ": false, " MarketCapitalization ": " % % OBJNAME ? % % MarketCapitalization.visible ": false, " MarketCapitalizationMln ": " % % OBJNAME ? % % MarketCapitalizationMln.visible ": false, " EBITDA ": " % % OBJNAME ? % % EBITDA.visible ": false, " PERatio ": " % % OBJNAME ? % % PERatio.visible ": false, " PEGRatio ": " % % OBJNAME ? % % PEGRatio.visible ": false, " WallStreetTargetPrice ": " % % OBJNAME ? % % WallStreetTargetPrice.visible ": false, " BookValue ": " % % OBJNAME ? % % BookValue.visible ": false, " DividendShare ": " % % OBJNAME ? % % DividendShare.visible ": false, " DividendYield ": " % % OBJNAME ? % % DividendYield.visible ": false, " EarningsShare ": " % % OBJNAME ? % % EarningsShare.visible ": false, " EPSEstimateCurrentYear ": " % % OBJNAME ? % % EPSEstimateCurrentYear.visible ": false, " EPSEstimateNextYear ": " % % OBJNAME ? % % EPSEstimateNextYear.visible ": false, " EPSEstimateNextQuarter ": " % % OBJNAME ? % % EPSEstimateNextQuarter.visible ": false, " EPSEstimateCurrentQuarter ": " % % OBJNAME ? % % EPSEstimateCurrentQuarter.visible ": false, " MostRecentQuarter ": " % % OBJNAME ? % % MostRecentQuarter.visible ": false, " ProfitMargin ": " % % OBJNAME ? % % ProfitMargin.visible ": false, " OperatingMarginTTM ": " % % OBJNAME ? % % OperatingMarginTTM.visible ": false, " ReturnOnAssetsTTM ": " % % OBJNAME ? % % ReturnOnAssetsTTM.visible ": false, " ReturnOnEquityTTM ": " % % OBJNAME ? % % ReturnOnEquityTTM.visible ": false, " RevenueTTM ": " % % OBJNAME ? % % RevenueTTM.visible ": false, " RevenuePerShareTTM ": " % % OBJNAME ? % % RevenuePerShareTTM.visible ": false, " QuarterlyRevenueGrowthYOY ": " % % OBJNAME ? % % QuarterlyRevenueGrowthYOY.visible ": false, " GrossProfitTTM ": " % % OBJNAME ? % % GrossProfitTTM.visible ": false, " DilutedEpsTTM ": " % % OBJNAME ? % % DilutedEpsTTM.visible ": false, " QuarterlyEarningsGrowthYOY ": " % % OBJNAME ? % % QuarterlyEarningsGrowthYOY.visible ": false, " Shape.visible ": false, " bgshape.visible ": false }, " ? ": { " earningsimpactid ": " % % OBJNAME ? % % earningsimpactid.visible ": false, " sample_size ": " % % OBJNAME ? % % sample_size.visible ": false, " impactcompany ": " % % OBJNAME ? % % impactcompany.visible ": false, " impactcompany_name ": " % % OBJNAME ? % % impactcompany_name.visible ": false, " impactcompany_sector ": " % % OBJNAME ? % % impactcompany_sector.visible ": false, " impactcompany_industry ": " % % OBJNAME ? % % impactcompany_industry.visible ": false, " opportunities ": " % % OBJNAME ? % % opportunities.visible ": false, " Code ": " % % OBJNAME ? % % Code.visible ": false, " Type ": " % % OBJNAME ? % % Type.visible ": false, " Name ": " % % OBJNAME ? % % Name.visible ": false, " Exchange ": " % % OBJNAME ? % % Exchange.visible ": false, " CurrencyCode ": " % % OBJNAME ? % % CurrencyCode.visible ": false, " CurrencyName ": " % % OBJNAME ? % % CurrencyName.visible ": false, " CurrencySymbol ": " % % OBJNAME ? % % CurrencySymbol.visible ": false, " CountryName ": " % % OBJNAME ? % % CountryName.visible ": false, " CountryISO ": " % % OBJNAME ? % % CountryISO.visible ": false, " OpenFigi ": " % % OBJNAME ? % % OpenFigi.visible ": false, " ISIN ": " % % OBJNAME ? % % ISIN.visible ": false, " LEI ": " % % OBJNAME ? % % LEI.visible ": false, " PrimaryTicker ": " % % OBJNAME ? % % PrimaryTicker.visible ": false, " CUSIP ": " % % OBJNAME ? % % CUSIP.visible ": false, " CIK ": " % % OBJNAME ? % % CIK.visible ": false, " EmployerIdNumber ": " % % OBJNAME ? % % EmployerIdNumber.visible ": false, " FiscalYearEnd ": " % % OBJNAME ? % % FiscalYearEnd.visible ": false, " IPODate ": " % % OBJNAME ? % % IPODate.visible ": false, " InternationalDomestic ": " % % OBJNAME ? % % InternationalDomestic.visible ": false, " Sector ": " % % OBJNAME ? % % Sector.visible ": false, " Industry ": " % % OBJNAME ? % % Industry.visible ": false, " GicSector ": " % % OBJNAME ? % % GicSector.visible ": false, " GicGroup ": " % % OBJNAME ? % % GicGroup.visible ": false, " GicIndustry ": " % % OBJNAME ? % % GicIndustry.visible ": false, " GicSubIndustry ": " % % OBJNAME ? % % GicSubIndustry.visible ": false, " HomeCategory ": " % % OBJNAME ? % % HomeCategory.visible ": false, " IsDelisted ": " % % OBJNAME ? % % IsDelisted.visible ": false, " Description ": " % % OBJNAME ? % % Description.visible ": false, " Address ": " % % OBJNAME ? % % Address.visible ": false, " Phone ": " % % OBJNAME ? % % Phone.visible ": false, " WebURL ": " % % OBJNAME ? % % WebURL.visible ": false, " LogoURL ": " % % OBJNAME ? % % LogoURL.visible ": false, " FullTimeEmployees ": " % % OBJNAME ? % % FullTimeEmployees.visible ": false, " UpdatedAt ": " % % OBJNAME ? % % UpdatedAt.visible ": false, " MarketCapitalization ": " % % OBJNAME ? % % MarketCapitalization.visible ": false, " MarketCapitalizationMln ": " % % OBJNAME ? % % MarketCapitalizationMln.visible ": false, " EBITDA ": " % % OBJNAME ? % % EBITDA.visible ": false, " PERatio ": " % % OBJNAME ? % % PERatio.visible ": false, " PEGRatio ": " % % OBJNAME ? % % PEGRatio.visible ": false, " WallStreetTargetPrice ": " % % OBJNAME ? % % WallStreetTargetPrice.visible ": false, " BookValue ": " % % OBJNAME ? % % BookValue.visible ": false, " DividendShare ": " % % OBJNAME ? % % DividendShare.visible ": false, " DividendYield ": " % % OBJNAME ? % % DividendYield.visible ": false, " EarningsShare ": " % % OBJNAME ? % % EarningsShare.visible ": false, " EPSEstimateCurrentYear ": " % % OBJNAME ? % % EPSEstimateCurrentYear.visible ": false, " EPSEstimateNextYear ": " % % OBJNAME ? % % EPSEstimateNextYear.visible ": false, " EPSEstimateNextQuarter ": " % % OBJNAME ? % % EPSEstimateNextQuarter.visible ": false, " EPSEstimateCurrentQuarter ": " % % OBJNAME ? % % EPSEstimateCurrentQuarter.visible ": false, " MostRecentQuarter ": " % % OBJNAME ? % % MostRecentQuarter.visible ": false, " ProfitMargin ": " % % OBJNAME ? % % ProfitMargin.visible ": false, " OperatingMarginTTM ": " % % OBJNAME ? % % OperatingMarginTTM.visible ": false, " ReturnOnAssetsTTM ": " % % OBJNAME ? % % ReturnOnAssetsTTM.visible ": false, " ReturnOnEquityTTM ": " % % OBJNAME ? % % ReturnOnEquityTTM.visible ": false, " RevenueTTM ": " % % OBJNAME ? % % RevenueTTM.visible ": false, " RevenuePerShareTTM ": " % % OBJNAME ? % % RevenuePerShareTTM.visible ": false, " QuarterlyRevenueGrowthYOY ": " % % OBJNAME ? % % QuarterlyRevenueGrowthYOY.visible ": false, " GrossProfitTTM ": " % % OBJNAME ? % % GrossProfitTTM.visible ": false, " DilutedEpsTTM ": " % % OBJNAME ? % % DilutedEpsTTM.visible ": false, " QuarterlyEarningsGrowthYOY ": " % % OBJNAME ? % % QuarterlyEarningsGrowthYOY.visible ": false, " Shape.visible ": false, " bgshape.visible ": false }, " ? ": { " earningsimpactid ": " % % OBJNAME ? % % earningsimpactid.visible ": false, " sample_size ": " % % OBJNAME ? % % sample_size.visible ": false, " impactcompany ": " % % OBJNAME ? % % impactcompany.visible ": false, " impactcompany_name ": " % % OBJNAME ? % % impactcompany_name.visible ": false, " impactcompany_sector ": " % % OBJNAME ? % % impactcompany_sector.visible ": false, " impactcompany_industry ": " % % OBJNAME ? % % impactcompany_industry.visible ": false, " opportunities ": " % % OBJNAME ? % % opportunities.visible ": false, " Code ": " % % OBJNAME ? % % Code.visible ": false, " Type ": " % % OBJNAME ? % % Type.visible ": false, " Name ": " % % OBJNAME ? % % Name.visible ": false, " Exchange ": " % % OBJNAME ? % % Exchange.visible ": false, " CurrencyCode ": " % % OBJNAME ? % % CurrencyCode.visible ": false, " CurrencyName ": " % % OBJNAME ? % % CurrencyName.visible ": false, " CurrencySymbol ": " % % OBJNAME ? % % CurrencySymbol.visible ": false, " CountryName ": " % % OBJNAME ? % % CountryName.visible ": false, " CountryISO ": " % % OBJNAME ? % % CountryISO.visible ": false, " OpenFigi ": " % % OBJNAME ? % % OpenFigi.visible ": false, " ISIN ": " % % OBJNAME ? % % ISIN.visible ": false, " LEI ": " % % OBJNAME ? % % LEI.visible ": false, " PrimaryTicker ": " % % OBJNAME ? % % PrimaryTicker.visible ": false, " CUSIP ": " % % OBJNAME ? % % CUSIP.visible ": false, " CIK ": " % % OBJNAME ? % % CIK.visible ": false, " EmployerIdNumber ": " % % OBJNAME ? % % EmployerIdNumber.visible ": false, " FiscalYearEnd ": " % % OBJNAME ? % % FiscalYearEnd.visible ": false, " IPODate ": " % % OBJNAME ? % % IPODate.visible ": false, " InternationalDomestic ": " % % OBJNAME ? % % InternationalDomestic.visible ": false, " Sector ": " % % OBJNAME ? % % Sector.visible ": false, " Industry ": " % % OBJNAME ? % % Industry.visible ": false, " GicSector ": " % % OBJNAME ? % % GicSector.visible ": false, " GicGroup ": " % % OBJNAME ? % % GicGroup.visible ": false, " GicIndustry ": " % % OBJNAME ? % % GicIndustry.visible ": false, " GicSubIndustry ": " % % OBJNAME ? % % GicSubIndustry.visible ": false, " HomeCategory ": " % % OBJNAME ? % % HomeCategory.visible ": false, " IsDelisted ": " % % OBJNAME ? % % IsDelisted.visible ": false, " Description ": " % % OBJNAME ? % % Description.visible ": false, " Address ": " % % OBJNAME ? % % Address.visible ": false, " Phone ": " % % OBJNAME ? % % Phone.visible ": false, " WebURL ": " % % OBJNAME ? % % WebURL.visible ": false, " LogoURL ": " % % OBJNAME ? % % LogoURL.visible ": false, " FullTimeEmployees ": " % % OBJNAME ? % % FullTimeEmployees.visible ": false, " UpdatedAt ": " % % OBJNAME ? % % UpdatedAt.visible ": false, " MarketCapitalization ": " % % OBJNAME ? % % MarketCapitalization.visible ": false, " MarketCapitalizationMln ": " % % OBJNAME ? % % MarketCapitalizationMln.visible ": false, " EBITDA ": " % % OBJNAME ? % % EBITDA.visible ": false, " PERatio ": " % % OBJNAME ? % % PERatio.visible ": false, " PEGRatio ": " % % OBJNAME ? % % PEGRatio.visible ": false, " WallStreetTargetPrice ": " % % OBJNAME ? % % WallStreetTargetPrice.visible ": false, " BookValue ": " % % OBJNAME ? % % BookValue.visible ": false, " DividendShare ": " % % OBJNAME ? % % DividendShare.visible ": false, " DividendYield ": " % % OBJNAME ? % % DividendYield.visible ": false, " EarningsShare ": " % % OBJNAME ? % % EarningsShare.visible ": false, " EPSEstimateCurrentYear ": " % % OBJNAME ? % % EPSEstimateCurrentYear.visible ": false, " EPSEstimateNextYear ": " % % OBJNAME ? % % EPSEstimateNextYear.visible ": false, " EPSEstimateNextQuarter ": " % % OBJNAME ? % % EPSEstimateNextQuarter.visible ": false, " EPSEstimateCurrentQuarter ": " % % OBJNAME ? % % EPSEstimateCurrentQuarter.visible ": false, " MostRecentQuarter ": " % % OBJNAME ? % % MostRecentQuarter.visible ": false, " ProfitMargin ": " % % OBJNAME ? % % ProfitMargin.visible ": false, " OperatingMarginTTM ": " % % OBJNAME ? % % OperatingMarginTTM.visible ": false, " ReturnOnAssetsTTM ": " % % OBJNAME ? % % ReturnOnAssetsTTM.visible ": false, " ReturnOnEquityTTM ": " % % OBJNAME ? % % ReturnOnEquityTTM.visible ": false, " RevenueTTM ": " % % OBJNAME ? % % RevenueTTM.visible ": false, " RevenuePerShareTTM ": " % % OBJNAME ? % % RevenuePerShareTTM.visible ": false, " QuarterlyRevenueGrowthYOY ": " % % OBJNAME ? % % QuarterlyRevenueGrowthYOY.visible ": false, " GrossProfitTTM ": " % % OBJNAME ? % % GrossProfitTTM.visible ": false, " DilutedEpsTTM ": " % % OBJNAME ? % % DilutedEpsTTM.visible ": false, " QuarterlyEarningsGrowthYOY ": " % % OBJNAME ? % % QuarterlyEarningsGrowthYOY.visible ": false, " Shape.visible ": false, " bgshape.visible ": false }, " ? ": { " earningsimpactid ": " % % OBJNAME ? % % earningsimpactid.visible ": false, " sample_size ": " % % OBJNAME ? % % sample_size.visible ": false, " impactcompany ": " % % OBJNAME ? % % impactcompany.visible ": false, " impactcompany_name ": " % % OBJNAME ? % % impactcompany_name.visible ": false, " impactcompany_sector ": " % % OBJNAME ? % % impactcompany_sector.visible ": false, " impactcompany_industry ": " % % OBJNAME ? % % impactcompany_industry.visible ": false, " opportunities ": " % % OBJNAME ? % % opportunities.visible ": false, " Code ": " % % OBJNAME ? % % Code.visible ": false, " Type ": " % % OBJNAME ? % % Type.visible ": false, " Name ": " % % OBJNAME ? % % Name.visible ": false, " Exchange ": " % % OBJNAME ? % % Exchange.visible ": false, " CurrencyCode ": " % % OBJNAME ? % % CurrencyCode.visible ": false, " CurrencyName ": " % % OBJNAME ? % % CurrencyName.visible ": false, " CurrencySymbol ": " % % OBJNAME ? % % CurrencySymbol.visible ": false, " CountryName ": " % % OBJNAME ? % % CountryName.visible ": false, " CountryISO ": " % % OBJNAME ? % % CountryISO.visible ": false, " OpenFigi ": " % % OBJNAME ? % % OpenFigi.visible ": false, " ISIN ": " % % OBJNAME ? % % ISIN.visible ": false, " LEI ": " % % OBJNAME ? % % LEI.visible ": false, " PrimaryTicker ": " % % OBJNAME ? % % PrimaryTicker.visible ": false, " CUSIP ": " % % OBJNAME ? % % CUSIP.visible ": false, " CIK ": " % % OBJNAME ? % % CIK.visible ": false, " EmployerIdNumber ": " % % OBJNAME ? % % EmployerIdNumber.visible ": false, " FiscalYearEnd ": " % % OBJNAME ? % % FiscalYearEnd.visible ": false, " IPODate ": " % % OBJNAME ? % % IPODate.visible ": false, " InternationalDomestic ": " % % OBJNAME ? % % InternationalDomestic.visible ": false, " Sector ": " % % OBJNAME ? % % Sector.visible ": false, " Industry ": " % % OBJNAME ? % % Industry.visible ": false, " GicSector ": " % % OBJNAME ? % % GicSector.visible ": false, " GicGroup ": " % % OBJNAME ? % % GicGroup.visible ": false, " GicIndustry ": " % % OBJNAME ? % % GicIndustry.visible ": false, " GicSubIndustry ": " % % OBJNAME ? % % GicSubIndustry.visible ": false, " HomeCategory ": " % % OBJNAME ? % % HomeCategory.visible ": false, " IsDelisted ": " % % OBJNAME ? % % IsDelisted.visible ": false, " Description ": " % % OBJNAME ? % % Description.visible ": false, " Address ": " % % OBJNAME ? % % Address.visible ": false, " Phone ": " % % OBJNAME ? % % Phone.visible ": false, " WebURL ": " % % OBJNAME ? % % WebURL.visible ": false, " LogoURL ": " % % OBJNAME ? % % LogoURL.visible ": false, " FullTimeEmployees ": " % % OBJNAME ? % % FullTimeEmployees.visible ": false, " UpdatedAt ": " % % OBJNAME ? % % UpdatedAt.visible ": false, " MarketCapitalization ": " % % OBJNAME ? % % MarketCapitalization.visible ": false, " MarketCapitalizationMln ": " % % OBJNAME ? % % MarketCapitalizationMln.visible ": false, " EBITDA ": " % % OBJNAME ? % % EBITDA.visible ": false, " PERatio ": " % % OBJNAME ? % % PERatio.visible ": false, " PEGRatio ": " % % OBJNAME ? % % PEGRatio.visible ": false, " WallStreetTargetPrice ": " % % OBJNAME ? % % WallStreetTargetPrice.visible ": false, " BookValue ": " % % OBJNAME ? % % BookValue.visible ": false, " DividendShare ": " % % OBJNAME ? % % DividendShare.visible ": false, " DividendYield ": " % % OBJNAME ? % % DividendYield.visible ": false, " EarningsShare ": " % % OBJNAME ? % % EarningsShare.visible ": false, " EPSEstimateCurrentYear ": " % % OBJNAME ? % % EPSEstimateCurrentYear.visible ": false, " EPSEstimateNextYear ": " % % OBJNAME ? % % EPSEstimateNextYear.visible ": false, " EPSEstimateNextQuarter ": " % % OBJNAME ? % % EPSEstimateNextQuarter.visible ": false, " EPSEstimateCurrentQuarter ": " % % OBJNAME ? % % EPSEstimateCurrentQuarter.visible ": false, " MostRecentQuarter ": " % % OBJNAME ? % % MostRecentQuarter.visible ": false, " ProfitMargin ": " % % OBJNAME ? % % ProfitMargin.visible ": false, " OperatingMarginTTM ": " % % OBJNAME ? % % OperatingMarginTTM.visible ": false, " ReturnOnAssetsTTM ": " % % OBJNAME ? % % ReturnOnAssetsTTM.visible ": false, " ReturnOnEquityTTM ": " % % OBJNAME ? % % ReturnOnEquityTTM.visible ": false, " RevenueTTM ": " % % OBJNAME ? % % RevenueTTM.visible ": false, " RevenuePerShareTTM ": " % % OBJNAME ? % % RevenuePerShareTTM.visible ": false, " QuarterlyRevenueGrowthYOY ": " % % OBJNAME ? % % QuarterlyRevenueGrowthYOY.visible ": false, " GrossProfitTTM ": " % % OBJNAME ? % % GrossProfitTTM.visible ": false, " DilutedEpsTTM ": " % % OBJNAME ? % % DilutedEpsTTM.visible ": false, " QuarterlyEarningsGrowthYOY ": " % % OBJNAME ? % % QuarterlyEarningsGrowthYOY.visible ": false, " Shape.visible ": false, " bgshape.visible ": false } } }, " text ": { " title ": " u062a u0623 u062b u064a u0631 u0625 u0639 u0644 u0627 u0646 u0623 u0631 u0628 u0627 u062d u0634 u0631 u0643 u0629 The Allstate Corporation (ALL) ", " short_text ": " u062a u064f u0635 u062f u0631 u0634 u0631 u0643 u0629 The Allstate Corporation (ALL) u0646 u062a u0627 u0626 u062c u0623 u0631 u0628 u0627 u062d u0647 u0627 u0627 u0644 u064a u0648 u0645 u060c u0648 u0645 u0646 u0627 u0644 u0645 u062a u0648 u0642 u0639 u0623 u0646 u062a u0624 u062b u0631 u0639 u0644 u0649 u0627 u0644 u0623 u0633 u0647 u0645 u0627 u0644 u062a u0627 u0644 u064a u0629: n - W. R. Berkley Corp (WRB) n - The Travelers Companies Inc (TRV) n - Loews Corp (L) n - Cincinnati Financial Corporation (CINF) n - Chubb Ltd (CB) n ", " long_text ": " u062a u064f u0635 u062f u0631 u0634 u0631 u0643 u0629 the allstate corporation (all) u0646 u062a u0627 u0626 u062c u0623 u0631 u0628 u0627 u062d u0647 u0627 u0627 u0644 u064a u0648 u0645. u0639 u0646 u062f u0645 u0627 u062a u0643 u0648 u0646 u0631 u0628 u062d u064a u0629 u0627 u0644 u0633 u0647 u0645 (eps) > u0645 u0646 u0627 u0644 u0645 u062a u0648 u0642 u0639 u060c u064a u0643 u0648 u0646 u0644 u062f u0649 all u0627 u062d u062a u0645 u0627 u0644 u0628 u0646 u0633 u0628 u0629 u200f u200e78 % u200e u200f u0644 u062d u062f u0648 u062b u062a u062d u0631 u0643 u0628 u0646 u0633 u0628 u0629 u200f u200e ? % u200e u200f u062e u0644 u0627 u0644 u0627 u0644 u0634 u0647 u0631 u0627 u0644 u062a u0627 u0644 u064a u0644 u0647 u0630 u0627 u0627 u0644 u0625 u0639 u0644 u0627 u0646. / u0641 u064a u0627 u0644 u0625 u0639 u0644 u0627 u0646 u0627 u062a u0627 u0644 u0633 u0627 u0628 u0642 u0629 u0627 u0644 u062a u064a u0643 u0627 u0646 u[...];Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Feb 04 12 1 0ms 0ms 15 0ms 0ms 0ms 406 0ms with rar_max as ( 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;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Feb 04 12 406 0ms 0ms 16 0ms 0ms 0ms 24 0ms select distinct classname, to_char(created_datetime, ?), to_char(cleared_datetime, ?), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = ? or cleared_datetime > current_timestamp - interval ?) order by created_datetime desc;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Feb 04 12 24 0ms 0ms 17 0ms 0ms 0ms 16 0ms with max_ra as ( select resultuid from relevance_fibonacci_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 left outer join relevance_fibonacci_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 fibonacci_results a on a.resultuid = s.result_uid where s.uuid ilike ? and a.resultuid is null);Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Feb 04 12 16 0ms 0ms 18 0ms 0ms 0ms 3 0ms select port from brokermt4authservers where brokerid = ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Feb 04 12 3 0ms 0ms 19 0ms 0ms 0ms 229 0ms set statement_timeout = ?;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Feb 04 12 229 0ms 0ms 20 0ms 0ms 0ms 60 0ms select id, schedule from processes where enabled = true and schedule is not null;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Feb 04 12 60 0ms 0ms Time consuming prepare
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 12s115ms 13,776 0ms 24ms 0ms SELECT ;Times Reported Time consuming prepare #1
Day Hour Count Duration Avg duration Feb 04 12 13,776 12s115ms 0ms -
SELECT ;
Date: 2026-02-04 12:56:51 Duration: 24ms Database: postgres
-
SELECT ;
Date: 2026-02-04 12:16:50 Duration: 24ms Database: postgres
-
SELECT ;
Date: 2026-02-04 12:56:51 Duration: 20ms Database: postgres
2 7s719ms 5,439 0ms 18ms 1ms WITH rar_max as ( ;Times Reported Time consuming prepare #2
Day Hour Count Duration Avg duration 12 5,439 7s719ms 1ms -
WITH rar_max as ( ;
Date: 2026-02-04 12:59:03 Duration: 18ms Database: postgres
-
WITH rar_max as ( ;
Date: 2026-02-04 12:57:01 Duration: 14ms Database: postgres
-
WITH rar_max as ( ;
Date: 2026-02-04 12:40:38 Duration: 14ms Database: postgres
3 2s60ms 1,415 0ms 11ms 1ms SELECT symbolid, ;Times Reported Time consuming prepare #3
Day Hour Count Duration Avg duration 12 1,415 2s60ms 1ms -
SELECT symbolid, ;
Date: 2026-02-04 12:47:23 Duration: 11ms Database: postgres
-
SELECT symbolid, ;
Date: 2026-02-04 12:16:12 Duration: 3ms Database: postgres
-
SELECT symbolid, ;
Date: 2026-02-04 12:31:01 Duration: 3ms Database: postgres
4 1s327ms 8,333 0ms 18ms 0ms SET extra_float_digits = 3;Times Reported Time consuming prepare #4
Day Hour Count Duration Avg duration 12 8,333 1s327ms 0ms -
SET extra_float_digits = 3;
Date: 2026-02-04 12:01:31 Duration: 18ms Database: postgres
-
SET extra_float_digits = 3;
Date: 2026-02-04 12:51:54 Duration: 7ms Database: postgres
-
SET extra_float_digits = 3;
Date: 2026-02-04 12:59:42 Duration: 4ms Database: postgres
5 773ms 12,294 0ms 13ms 0ms select 1;Times Reported Time consuming prepare #5
Day Hour Count Duration Avg duration 12 12,294 773ms 0ms -
select 1;
Date: 2026-02-04 12:01:31 Duration: 13ms Database: postgres
-
select 1;
Date: 2026-02-04 12:10:59 Duration: 10ms Database: postgres
-
select 1;
Date: 2026-02-04 12:37:55 Duration: 8ms Database: postgres
6 583ms 542 0ms 2ms 1ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming prepare #6
Day Hour Count Duration Avg duration 12 542 583ms 1ms -
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-02-04 12:30:28 Duration: 2ms Database: postgres
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-02-04 12:01:02 Duration: 1ms Database: postgres
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-02-04 12:16:02 Duration: 1ms Database: postgres
7 292ms 3,185 0ms 1ms 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 #7
Day Hour Count Duration Avg duration 12 3,185 292ms 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: 2026-02-04 12:01:04 Duration: 1ms 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: 2026-02-04 12:41:51 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: 2026-02-04 12:41:41 Duration: 0ms Database: postgres
8 217ms 2,028 0ms 1ms 0ms INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming prepare #8
Day Hour Count Duration Avg duration 12 2,028 217ms 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: 2026-02-04 12:00:51 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: 2026-02-04 12:11:51 Duration: 0ms Database: postgres
-
INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-02-04 12:00:31 Duration: 0ms Database: postgres
9 198ms 1,273 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 #9
Day Hour Count Duration Avg duration 12 1,273 198ms 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: 2026-02-04 12:17:42 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: 2026-02-04 12:02:27 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: 2026-02-04 12:47:40 Duration: 0ms Database: postgres
10 130ms 8,306 0ms 11ms 0ms SET application_name = 'PostgreSQL JDBC Driver';Times Reported Time consuming prepare #10
Day Hour Count Duration Avg duration 12 8,306 130ms 0ms -
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-02-04 12:31:54 Duration: 11ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-02-04 12:45:58 Duration: 3ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-02-04 12:06:01 Duration: 1ms Database: postgres
11 129ms 1,130 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 12 1,130 129ms 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: 2026-02-04 12:11:43 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: 2026-02-04 12:17:42 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: 2026-02-04 12:15:19 Duration: 0ms Database: postgres
12 77ms 12 4ms 7ms 6ms with sym_info as ( ;Times Reported Time consuming prepare #12
Day Hour Count Duration Avg duration 12 12 77ms 6ms -
with sym_info as ( ;
Date: 2026-02-04 12:36:48 Duration: 7ms Database: postgres
-
with sym_info as ( ;
Date: 2026-02-04 12:36:45 Duration: 7ms Database: postgres
-
with sym_info as ( ;
Date: 2026-02-04 12:06:52 Duration: 6ms Database: postgres
13 72ms 52 0ms 4ms 1ms WITH last_candle AS ( ;Times Reported Time consuming prepare #13
Day Hour Count Duration Avg duration 12 52 72ms 1ms -
WITH last_candle AS ( ;
Date: 2026-02-04 12:52:01 Duration: 4ms Database: postgres
-
WITH last_candle AS ( ;
Date: 2026-02-04 12:36:00 Duration: 4ms Database: postgres
-
WITH last_candle AS ( ;
Date: 2026-02-04 12:36:00 Duration: 4ms Database: postgres
14 46ms 18 1ms 3ms 2ms select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;Times Reported Time consuming prepare #14
Day Hour Count Duration Avg duration 12 18 46ms 2ms -
select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;
Date: 2026-02-04 12:01:14 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: 2026-02-04 12:31:09 Duration: 2ms 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: 2026-02-04 12:51:02 Duration: 2ms Database: postgres
15 31ms 65 0ms 2ms 0ms WITH rcr_max as ( ;Times Reported Time consuming prepare #15
Day Hour Count Duration Avg duration 12 65 31ms 0ms -
WITH rcr_max as ( ;
Date: 2026-02-04 12:46:25 Duration: 2ms Database: postgres
-
WITH rcr_max as ( ;
Date: 2026-02-04 12:16:06 Duration: 2ms Database: postgres
-
WITH rcr_max as ( ;
Date: 2026-02-04 12:17:28 Duration: 2ms Database: postgres
16 29ms 24 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 #16
Day Hour Count Duration Avg duration 12 24 29ms 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: 2026-02-04 12:01:52 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: 2026-02-04 12:06:32 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: 2026-02-04 12:52:05 Duration: 1ms Database: postgres
17 24ms 24 0ms 1ms 1ms 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 #17
Day Hour Count Duration Avg duration 12 24 24ms 1ms -
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: 2026-02-04 12:06:32 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: 2026-02-04 12:26:34 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: 2026-02-04 12:01:32 Duration: 1ms Database: postgres
18 17ms 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 #18
Day Hour Count Duration Avg duration 12 6 17ms 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: 2026-02-04 12:50:04 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: 2026-02-04 12:20:04 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: 2026-02-04 12:00:04 Duration: 3ms Database: postgres
19 15ms 6 2ms 3ms 2ms with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;Times Reported Time consuming prepare #19
Day Hour Count Duration Avg duration 12 6 15ms 2ms -
with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;
Date: 2026-02-04 12:00:02 Duration: 3ms Database: postgres
-
with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;
Date: 2026-02-04 12:50:02 Duration: 3ms Database: postgres
-
with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;
Date: 2026-02-04 12:30:02 Duration: 2ms Database: postgres
20 15ms 24 0ms 0ms 0ms select count(*) from datafeed_restarter_events where is_current_entry = 1;Times Reported Time consuming prepare #20
Day Hour Count Duration Avg duration 12 24 15ms 0ms -
select count(*) from datafeed_restarter_events where is_current_entry = 1;
Date: 2026-02-04 12:35:20 Duration: 0ms Database: postgres
-
select count(*) from datafeed_restarter_events where is_current_entry = 1;
Date: 2026-02-04 12:20:07 Duration: 0ms Database: postgres
-
select count(*) from datafeed_restarter_events where is_current_entry = 1;
Date: 2026-02-04 12:30:03 Duration: 0ms Database: postgres
Time consuming bind
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 1m5s 10,325 0ms 57ms 6ms WITH rar_max as ( ;Times Reported Time consuming bind #1
Day Hour Count Duration Avg duration Feb 04 12 10,325 1m5s 6ms -
WITH rar_max as ( ;
Date: 2026-02-04 12:58:02 Duration: 57ms Database: postgres parameters: $1 = '607617737550155301', $2 = '607617737550155301', $3 = '607617737550155301'
-
WITH rar_max as ( ;
Date: 2026-02-04 12:41:57 Duration: 50ms Database: postgres parameters: $1 = '607595624050437303', $2 = '607595624050437303', $3 = '607595624050437303'
-
WITH rar_max as ( ;
Date: 2026-02-04 12:02:33 Duration: 50ms Database: postgres parameters: $1 = '607620506139673301', $2 = '607620506139673301', $3 = '607620506139673301'
2 38s744ms 45,332 0ms 43ms 0ms SELECT ;Times Reported Time consuming bind #2
Day Hour Count Duration Avg duration 12 45,332 38s744ms 0ms -
SELECT ;
Date: 2026-02-04 12:02:18 Duration: 43ms Database: postgres parameters: $1 = '958', $2 = '958', $3 = '515840243162072300'
-
SELECT ;
Date: 2026-02-04 12:58:02 Duration: 30ms Database: postgres parameters: $1 = '958', $2 = '958', $3 = '515840249420088300'
-
SELECT ;
Date: 2026-02-04 12:02:18 Duration: 30ms Database: postgres parameters: $1 = '958', $2 = '958', $3 = '515840249420088300'
3 3s566ms 1,415 0ms 6ms 2ms SELECT symbolid, ;Times Reported Time consuming bind #3
Day Hour Count Duration Avg duration 12 1,415 3s566ms 2ms -
SELECT symbolid, ;
Date: 2026-02-04 12:15:04 Duration: 6ms Database: postgres parameters: $1 = 'GLOBALGTMT5', $2 = '15', $3 = 'JP225'
-
SELECT symbolid, ;
Date: 2026-02-04 12:31:01 Duration: 5ms Database: postgres parameters: $1 = 'BDSWISS', $2 = '15', $3 = 'USOIL', $4 = 'XAUEUR', $5 = 'XPTUSD', $6 = 'XRPUSD', $7 = 'ZARJPY', $8 = 'XAGUSD', $9 = 'XMRUSD', $10 = 'XAUUSD', $11 = 'ZECUSD'
-
SELECT symbolid, ;
Date: 2026-02-04 12:16:41 Duration: 4ms Database: postgres parameters: $1 = 'ATFX', $2 = '15', $3 = 'US30'
4 1s160ms 45,292 0ms 9ms 0ms select 1;Times Reported Time consuming bind #4
Day Hour Count Duration Avg duration 12 45,292 1s160ms 0ms -
select 1;
Date: 2026-02-04 12:02:00 Duration: 9ms Database: postgres
-
select 1;
Date: 2026-02-04 12:51:03 Duration: 5ms Database: postgres
-
select 1;
Date: 2026-02-04 12:21:04 Duration: 5ms Database: postgres
5 975ms 120 4ms 18ms 8ms WITH last_candle AS ( ;Times Reported Time consuming bind #5
Day Hour Count Duration Avg duration 12 120 975ms 8ms -
WITH last_candle AS ( ;
Date: 2026-02-04 12:28:00 Duration: 18ms Database: postgres parameters: $1 = '558', $2 = '558'
-
WITH last_candle AS ( ;
Date: 2026-02-04 12:28:00 Duration: 18ms Database: postgres parameters: $1 = '558', $2 = '558'
-
WITH last_candle AS ( ;
Date: 2026-02-04 12:16:02 Duration: 18ms Database: postgres parameters: $1 = '667', $2 = '667'
6 925ms 542 1ms 2ms 1ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming bind #6
Day Hour Count Duration Avg duration 12 542 925ms 1ms -
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-02-04 12:15:33 Duration: 2ms Database: postgres parameters: $1 = 'MILLENNIUMPF'
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-02-04 12:30:39 Duration: 2ms Database: postgres parameters: $1 = 'BDSWISS'
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-02-04 12:50:06 Duration: 2ms Database: postgres parameters: $1 = 'ICMARKETS-AU-MT5'
7 846ms 30 0ms 49ms 28ms with wh_patitioned as ( ;Times Reported Time consuming bind #7
Day Hour Count Duration Avg duration 12 30 846ms 28ms -
with wh_patitioned as ( ;
Date: 2026-02-04 12:30:02 Duration: 49ms 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: 2026-02-04 12:15:57 Duration: 47ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '558', $4 = '558', $5 = '558', $6 = '558', $7 = '558', $8 = '558', $9 = '558'
-
with wh_patitioned as ( ;
Date: 2026-02-04 12:30:41 Duration: 46ms Database: postgres parameters: $1 = '529', $2 = '529', $3 = '529', $4 = '529', $5 = '529', $6 = '529', $7 = '529', $8 = '529', $9 = '529'
8 534ms 49 0ms 21ms 10ms WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;Times Reported Time consuming bind #8
Day Hour Count Duration Avg duration 12 49 534ms 10ms -
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;
Date: 2026-02-04 12:13:15 Duration: 21ms Database: postgres parameters: $1 = '689', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
-
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;
Date: 2026-02-04 12:35:47 Duration: 20ms Database: postgres parameters: $1 = '667', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
-
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;
Date: 2026-02-04 12:23:59 Duration: 19ms Database: postgres parameters: $1 = '689', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
9 481ms 12 28ms 44ms 40ms with sym_info as ( ;Times Reported Time consuming bind #9
Day Hour Count Duration Avg duration 12 12 481ms 40ms -
with sym_info as ( ;
Date: 2026-02-04 12:36:45 Duration: 44ms Database: postgres parameters: $1 = '620', $2 = 'Forex', $3 = 'Forex', $4 = '620', $5 = 'Forex', $6 = '620', $7 = '620', $8 = 'Forex', $9 = '620'
-
with sym_info as ( ;
Date: 2026-02-04 12:36:53 Duration: 44ms Database: postgres parameters: $1 = '627', $2 = 'Forex', $3 = 'Forex', $4 = '627', $5 = 'Forex', $6 = '627', $7 = '627', $8 = 'Forex', $9 = '627'
-
with sym_info as ( ;
Date: 2026-02-04 12:36:57 Duration: 44ms Database: postgres parameters: $1 = '692', $2 = 'Forex', $3 = 'Forex', $4 = '692', $5 = 'Forex', $6 = '692', $7 = '692', $8 = 'Forex', $9 = '692'
10 297ms 5,999 0ms 0ms 0ms INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming bind #10
Day Hour Count Duration Avg duration 12 5,999 297ms 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: 2026-02-04 12:31:03 Duration: 0ms Database: postgres parameters: $1 = '2026-02-04 12:15:00', $2 = '103.62', $3 = '103.62', $4 = '103.42', $5 = '103.52', $6 = '55', $7 = '515840233353520300', $8 = '0', $9 = '2026-02-04 12:31:03.735', $10 = '2026-02-04 12:31:03.544', $11 = '103.62', $12 = '103.62', $13 = '103.42', $14 = '103.52', $15 = '55', $16 = '0', $17 = '2026-02-04 12:31:03.735', $18 = '2026-02-04 12:31:03.544'
-
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: 2026-02-04 12:01:02 Duration: 0ms Database: postgres parameters: $1 = '2026-02-04 11:45:00', $2 = '3.5723', $3 = '3.57468', $4 = '3.57165', $5 = '3.57181', $6 = '772', $7 = '515840217495529300', $8 = '0', $9 = '2026-02-04 12:01:02.741', $10 = '2026-02-04 12:01:02.356', $11 = '3.5723', $12 = '3.57468', $13 = '3.57165', $14 = '3.57181', $15 = '772', $16 = '0', $17 = '2026-02-04 12:01:02.741', $18 = '2026-02-04 12:01:02.356'
-
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: 2026-02-04 12:17:42 Duration: 0ms Database: postgres parameters: $1 = '2026-02-04 11:45:00', $2 = '49327.5', $3 = '49368.5', $4 = '49319.3', $5 = '49368.5', $6 = '1697', $7 = '515840245922195300', $8 = '0', $9 = '2026-02-04 12:17:42.468', $10 = '2026-02-04 12:17:42.375', $11 = '49327.5', $12 = '49368.5', $13 = '49319.3', $14 = '49368.5', $15 = '1697', $16 = '0', $17 = '2026-02-04 12:17:42.468', $18 = '2026-02-04 12:17:42.375'
11 274ms 3,389 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 #11
Day Hour Count Duration Avg duration 12 3,389 274ms 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: 2026-02-04 12:31:01 Duration: 0ms Database: postgres parameters: $1 = '2026-02-04 12:00:00', $2 = '3.57145', $3 = '3.57489', $4 = '3.57121', $5 = '3.57476', $6 = '2371', $7 = '515840217495340300', $8 = '0', $9 = '2026-02-04 12:31:01.635', $10 = '2026-02-04 12:31:01.634', $11 = '3.57145', $12 = '3.57489', $13 = '3.57121', $14 = '3.57476', $15 = '2371', $16 = '0', $17 = '2026-02-04 12:31:01.635', $18 = '2026-02-04 12:31:01.634'
-
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: 2026-02-04 12:31:00 Duration: 0ms Database: postgres parameters: $1 = '2026-02-04 12:00:00', $2 = '1803.1', $3 = '1827.45', $4 = '1801.6', $5 = '1826.9', $6 = '3705', $7 = '515840246125250300', $8 = '0', $9 = '2026-02-04 12:31:00.615', $10 = '2026-02-04 12:31:00.614', $11 = '1803.1', $12 = '1827.45', $13 = '1801.6', $14 = '1826.9', $15 = '3705', $16 = '0', $17 = '2026-02-04 12:31:00.615', $18 = '2026-02-04 12:31:00.614'
-
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: 2026-02-04 12:41:51 Duration: 0ms Database: postgres parameters: $1 = '2026-02-04 11:30:00', $2 = '26745.3', $3 = '26810.5', $4 = '26744.1', $5 = '26785.3', $6 = '4796', $7 = '515840247933633300', $8 = '0', $9 = '2026-02-04 12:41:51.866', $10 = '2026-02-04 12:41:51.798', $11 = '26745.3', $12 = '26810.5', $13 = '26744.1', $14 = '26785.3', $15 = '4796', $16 = '0', $17 = '2026-02-04 12:41:51.866', $18 = '2026-02-04 12:41:51.798'
12 191ms 2,216 0ms 0ms 0ms INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming bind #12
Day Hour Count Duration Avg duration 12 2,216 191ms 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: 2026-02-04 12:02:33 Duration: 0ms Database: postgres parameters: $1 = '2026-02-04 12:00:00', $2 = '110.0895', $3 = '110.1375', $4 = '109.8695', $5 = '109.975', $6 = '8920', $7 = '515840249384093300', $8 = '0', $9 = '2026-02-04 12:02:33.083', $10 = '2026-02-04 12:02:33.082', $11 = '110.0895', $12 = '110.1375', $13 = '109.8695', $14 = '109.975', $15 = '8920', $16 = '0', $17 = '2026-02-04 12:02:33.083', $18 = '2026-02-04 12:02:33.082'
-
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: 2026-02-04 12:02:13 Duration: 0ms Database: postgres parameters: $1 = '2026-02-04 11:00:00', $2 = '0.70378', $3 = '0.70415', $4 = '0.70163', $5 = '0.70221', $6 = '3565', $7 = '515840230435374300', $8 = '0', $9 = '2026-02-04 12:02:13.927', $10 = '2026-02-04 12:02:13.822', $11 = '0.70378', $12 = '0.70415', $13 = '0.70163', $14 = '0.70221', $15 = '3565', $16 = '0', $17 = '2026-02-04 12:02:13.927', $18 = '2026-02-04 12:02:13.822'
-
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: 2026-02-04 12:11:51 Duration: 0ms Database: postgres parameters: $1 = '2026-02-04 10:00:00', $2 = '26842.3', $3 = '26860.6', $4 = '26812.2', $5 = '26823.3', $6 = '7050', $7 = '515840247933961300', $8 = '0', $9 = '2026-02-04 12:11:51.977', $10 = '2026-02-04 12:11:51.876', $11 = '26842.3', $12 = '26860.6', $13 = '26812.2', $14 = '26823.3', $15 = '7050', $16 = '0', $17 = '2026-02-04 12:11:51.977', $18 = '2026-02-04 12:11:51.876'
13 136ms 1,335 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 12 1,335 136ms 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: 2026-02-04 12:15:19 Duration: 0ms Database: postgres parameters: $1 = '2026-02-04 08:00:00', $2 = '0.91716', $3 = '0.91836', $4 = '0.91676', $5 = '0.91704', $6 = '10479', $7 = '515840230468085300', $8 = '0', $9 = '2026-02-04 12:15:19.921', $10 = '2026-02-04 12:15:19.921', $11 = '0.91716', $12 = '0.91836', $13 = '0.91676', $14 = '0.91704', $15 = '10479', $16 = '0', $17 = '2026-02-04 12:15:19.921', $18 = '2026-02-04 12:15:19.921'
-
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: 2026-02-04 12:11:43 Duration: 0ms Database: postgres parameters: $1 = '2026-02-03 18:00:00', $2 = '18100.25', $3 = '18115.15', $4 = '17823.05', $5 = '17861.35', $6 = '17540', $7 = '515840248006133300', $8 = '0', $9 = '2026-02-04 12:11:43.896', $10 = '2026-02-04 12:11:43.817', $11 = '18100.25', $12 = '18115.15', $13 = '17823.05', $14 = '17861.35', $15 = '17540', $16 = '0', $17 = '2026-02-04 12:11:43.896', $18 = '2026-02-04 12:11:43.817'
-
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: 2026-02-04 12:00:26 Duration: 0ms Database: postgres parameters: $1 = '2026-02-04 08:00:00', $2 = '25336.58', $3 = '25407.68', $4 = '25251.05', $5 = '25297.05', $6 = '31665', $7 = '515840238072874300', $8 = '0', $9 = '2026-02-04 12:00:26.292', $10 = '2026-02-04 12:00:26.291', $11 = '25336.58', $12 = '25407.68', $13 = '25251.05', $14 = '25297.05', $15 = '31665', $16 = '0', $17 = '2026-02-04 12:00:26.292', $18 = '2026-02-04 12:00:26.291'
14 126ms 70 1ms 6ms 1ms WITH rcr_max as ( ;Times Reported Time consuming bind #14
Day Hour Count Duration Avg duration 12 70 126ms 1ms -
WITH rcr_max as ( ;
Date: 2026-02-04 12:17:28 Duration: 6ms Database: postgres parameters: $1 = '607620573724266305', $2 = '607620573724266305', $3 = '607620573724266305'
-
WITH rcr_max as ( ;
Date: 2026-02-04 12:16:06 Duration: 6ms Database: postgres parameters: $1 = '607620571505298305', $2 = '607620571505298305', $3 = '607620571505298305'
-
WITH rcr_max as ( ;
Date: 2026-02-04 12:46:25 Duration: 6ms Database: postgres parameters: $1 = '607620573858642305', $2 = '607620573858642305', $3 = '607620573858642305'
15 79ms 73 0ms 2ms 1ms SELECT timegranularity FROM brokersymbollist bsl INNER JOIN symbols s ON bsl.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $1 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 AND s.symbol ILIKE $2 AND bsl.brokerid = $3 AND timegranularity >= 15 ORDER BY timegranularity LIMIT 1;Times Reported Time consuming bind #15
Day Hour Count Duration Avg duration 12 73 79ms 1ms -
SELECT timegranularity FROM brokersymbollist bsl INNER JOIN symbols s ON bsl.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $1 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 AND s.symbol ILIKE $2 AND bsl.brokerid = $3 AND timegranularity >= 15 ORDER BY timegranularity LIMIT 1;
Date: 2026-02-04 12:50:13 Duration: 2ms Database: postgres parameters: $1 = '689', $2 = 'XAUUSD', $3 = '689'
-
SELECT timegranularity FROM brokersymbollist bsl INNER JOIN symbols s ON bsl.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $1 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 AND s.symbol ILIKE $2 AND bsl.brokerid = $3 AND timegranularity >= 15 ORDER BY timegranularity LIMIT 1;
Date: 2026-02-04 12:17:13 Duration: 2ms Database: postgres parameters: $1 = '689', $2 = 'XAUUSD', $3 = '689'
-
SELECT timegranularity FROM brokersymbollist bsl INNER JOIN symbols s ON bsl.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $1 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 AND s.symbol ILIKE $2 AND bsl.brokerid = $3 AND timegranularity >= 15 ORDER BY timegranularity LIMIT 1;
Date: 2026-02-04 12:00:24 Duration: 1ms Database: postgres parameters: $1 = '621', $2 = 'GBPAUD', $3 = '621'
16 79ms 14 3ms 7ms 5ms SELECT DISTINCT ON (basegroupname, symbol) ;Times Reported Time consuming bind #16
Day Hour Count Duration Avg duration 12 14 79ms 5ms -
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-02-04 12:11:11 Duration: 7ms Database: postgres parameters: $1 = '958', $2 = '958'
-
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-02-04 12:20:07 Duration: 7ms Database: postgres parameters: $1 = '538', $2 = '538'
-
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-02-04 12:11:11 Duration: 6ms Database: postgres parameters: $1 = '958', $2 = '958'
17 53ms 332 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 #17
Day Hour Count Duration Avg duration 12 332 53ms 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: 2026-02-04 12:47:43 Duration: 4ms Database: postgres parameters: $1 = '607620334747010301'
-
/*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: 2026-02-04 12:51:09 Duration: 4ms Database: postgres parameters: $1 = '607620507175392301'
-
/*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: 2026-02-04 12:03:24 Duration: 3ms Database: postgres parameters: $1 = '607620450710317301'
18 50ms 1 50ms 50ms 50ms with maxwhid as ( ;Times Reported Time consuming bind #18
Day Hour Count Duration Avg duration 12 1 50ms 50ms -
with maxwhid as ( ;
Date: 2026-02-04 12:11:46 Duration: 50ms Database: postgres parameters: $1 = '335', $2 = '621', $3 = '637', $4 = '642', $5 = '666', $6 = '660', $7 = '643', $8 = '630', $9 = '680', $10 = '641', $11 = '431', $12 = '622', $13 = '489', $14 = '529', $15 = '576', $16 = '665', $17 = '667', $18 = '558', $19 = '620', $20 = '125', $21 = '488', $22 = '567', $23 = '689', $24 = '700', $25 = '758', $26 = '763', $27 = '765', $28 = '817', $29 = '914', $30 = '972'
19 41ms 8,333 0ms 0ms 0ms SET extra_float_digits = 3;Times Reported Time consuming bind #19
Day Hour Count Duration Avg duration 12 8,333 41ms 0ms -
SET extra_float_digits = 3;
Date: 2026-02-04 12:57:32 Duration: 0ms Database: postgres
-
SET extra_float_digits = 3;
Date: 2026-02-04 12:10:49 Duration: 0ms Database: postgres
-
SET extra_float_digits = 3;
Date: 2026-02-04 12:57:44 Duration: 0ms Database: postgres
20 39ms 8,306 0ms 1ms 0ms SET application_name = 'PostgreSQL JDBC Driver';Times Reported Time consuming bind #20
Day Hour Count Duration Avg duration 12 8,306 39ms 0ms -
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-02-04 12:46:21 Duration: 1ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-02-04 12:20:21 Duration: 1ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-02-04 12:05:34 Duration: 0ms Database: postgres
-
Events
Log levels
Key values
- 712,799 Log entries
Events distribution
Key values
- 0 PANIC entries
- 0 FATAL entries
- 0 ERROR entries
- 0 WARNING entries
Errors per 5 minutes
NO DATASET
Most Frequent Errors/Events
Key values
- 0 Max number of times the same event was reported
- 0 Total events found
Rank Times reported Error NO DATASET