pgBadger :: PostgreSQL Log Analyzer

Global information

Generated on Thu Feb 17 06:59:05 2022
Log file: /home/postgres/pg_data/data/pg_log/postgresql-2022-02-17_080000.log
Parsed 29,747 log entries in 4s
Log start from 2022-02-17 08:00:00 to 2022-02-17 08:59:01

Global Stats

137 Number of unique normalized queries
2,781 Number of queries
36m4s Total query duration
2022-02-17 08:00:02 First query
2022-02-17 08:58:41 Last query
27 queries/s at 2022-02-17 08:33:14 Query peak

36m4s Total query duration
0ms Prepare/parse total duration
8s16ms Bind total duration
35m56s Execute total duration

9,118 Number of events
4 Number of unique normalized events
8,827 Max number of times the same event was reported
0 Number of cancellation

0 Total number of automatic vacuums
0 Total number of automatic analyzes

385 Number temporary file
28.95 MiB Max size of temporary file
7.05 MiB Average size of temporary file

0 Total number of sessions
0 sessions at Session peak
0ms Total duration of sessions
0ms Average duration of sessions
2,781 Average queries per session
36m4s Average queries duration per session
n/a Average idle time per session

0 Total number of connections
1 Total number of databases

SQL Traffic

Key values

27 queries/s Query Peak
2022-02-17 08:33:14 Date

SELECT Traffic

Key values

24 queries/s Query Peak
2022-02-17 08:36:00 Date

INSERT/UPDATE/DELETE Traffic

Key values

12 queries/s Query Peak
2022-02-17 08:03:01 Date

Queries duration

Key values

36m4s Total query duration

Prepared queries ratio

Key values

0.00 Ratio of bind vs prepare
0.00 % Ratio between prepared and "usual" statements

General Activity

Day	Hour	Count	Min duration	Max duration	Avg duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Feb 17	08	2,781	0ms	1m25s	775ms	1m17s	1m48s	2m26s

Day	Hour	SELECT	COPY TO	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Feb 17	08	1,695	21	464ms	19s153ms	48s595ms	1m31s

Day	Hour	INSERT	UPDATE	DELETE	COPY FROM	Average Duration	Latency Percentile(90)	Latency Percentile(95)	Latency Percentile(99)
Feb 17	08	16	78	0	68	164ms	575ms	772ms	1s213ms

Day	Hour	Prepare	Bind	Bind/Prepare	Percentage of prepare
Feb 17	08	0	2,457	2,457.00	0.00%

Day	Hour	Count	Average / Second
Feb 17	08	0	0.00/s

Day	Hour	Count	Average Duration	Average idle time
Feb 17	08	0	0ms	0ms

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Established Connections

Key values

0 connections Connection Peak
Date

Connections per database

Key values

unknown Main Database
0 connections Total

Chart
Table

Connections per database

Database	User	Count

Connections per user

Key values

unknown Main User
0 connections Total

Chart
Table

Connections per user

User	Count

Connections per host

Key values

unknown Main host with 0 connections
0 Total connections

Chart
Table

Connections per host

Host	Count

Simultaneous sessions

Key values

0 sessions Session Peak
Date

Histogram of session times

Key values

duration

Chart
Table

Range	Count	Percentage
NO DATASET

Sessions per database

Key values

unknown Main Database
0 sessions Total

Chart
Table

Sessions per database

Database	User	Count	Total Duration	Average Duration
NO DATASET

Sessions per user

Key values

unknown Main User
0 sessions Total

Chart
Table

Sessions per user

User	Count	Total Duration	Average Duration
NO DATASET

Sessions per host

Key values

unknown Main Host
0 sessions Total

Chart
Table

Connections per host

Host	Count	Total Duration	Average Duration
NO DATASET

Sessions per application

Key values

unknown Main Host
0 sessions Total

Chart
Table

Sessions per application

Application	Count	Total Duration	Average Duration
NO DATASET

Checkpoints Buffers

Key values

0 buffers Checkpoint Peak
Date
seconds Highest write time
seconds Sync time

Checkpoint write buffers (5 minutes period)

Checkpoints Wal files

Key values

0 files Wal files usage Peak
Date

Checkpoint Wal files usage (5 minutes period)

Checkpoints distance

Key values

0 Mo Distance Peak
Date

Checkpoints Activity

Day	Hour	Written buffers	Write time	Sync time	Total time
Feb 17	08	0	0s	0s	0s

Day	Hour	Added	Removed	Recycled	Synced files	Longest sync	Average sync
Feb 17	08	0	0	0	0	0s	0s

Day	Hour	Count	Avg time (sec)
Feb 17	08	0	0s

Day	Hour	Mean distance	Mean estimate
Feb 17	08	0.00 kB	0.00 kB

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Checkpoint causes

Key values

unknown (0) Main checkpoint cause
0 checkpoints Total

Chart
Table

Checkpoint causes

Cause	Number of checkpoints
NO DATASET

Size of temporary files

Key values

64.88 MiB Temp Files size Peak
2022-02-17 08:14:09 Date

Number of temporary files

Key values

8 per second Temp Files Peak
2022-02-17 08:14:09 Date

Temporary Files Activity

Temp Files

Day	Hour	Count	Total size	Average size
Feb 17	08	385	2.65 GiB	7.05 MiB

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Queries generating the most temporary files (N)


Date: 2022-02-17 08:02:08
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:00:38
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:00:46
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:01:07
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:04:46
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:05:11
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:14:09
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:33:12
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:15:14
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:13:57
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:31:17
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:01:35
Duration: 0ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:06:15
Duration: 5s322ms
Database: acaweb_fx
User: postgres
Date: 2022-02-17 08:33:14
Duration: 460ms
Database: acaweb_fx
User: postgres

Rank	Count	Total size	Min size	Max size	Avg size	Query
1	90	685.96 MiB	4.23 MiB	9.40 MiB	7.62 MiB	) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?; ) OR ((s.symbol ilike '%xauusd%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 556635104 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; Date: 2022-02-17 08:02:08 Duration: 0ms Database: acaweb_fx User: postgres
2	69	533.17 MiB	5.59 MiB	8.92 MiB	7.73 MiB	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), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, 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 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 where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) order by symbolid, identified desc, patternlengthbars desc ) select from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc; SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1), kr AS ( SELECT a., rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN 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 WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.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 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, $324, $325, $326, $327, $328, $329, $330, $331, $332, $333, $334, $335, $336, $337, $338, $339, $340)) AND ($341 = 0 OR p.patternname in ($342)) AND ($343 = 0 OR kr.patternclassid in ($344, $345)) AND ($346 = 0 OR kr.patternlengthbars <= $347) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = $348 OR relevant = 1) AND ($349 = 0 OR age <= $350) ORDER BY identified DESC, length DESC; Date: 2022-02-17 08:00:38 Duration: 0ms Database: acaweb_fx User: postgres
3	45	157.49 MiB	3.39 MiB	3.75 MiB	3.50 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), results as ( select distinct on (s.symbolid) fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, 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, 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 currencypips cps on cps.symbol = s.symbol where fr.gmttimefound > now() - interval ? and dss.enabled = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or 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))) order by symbolid, identified desc, patternlengthbars desc ) select from results where (false = ? or relevant = ?) and (? = ? or age <= ?) 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), results AS ( SELECT DISTINCT ON (s.symbolid) fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, 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, 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 currencypips cps on cps.symbol = s.symbol WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 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 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, $324, $325, $326, $327, $328, $329, $330, $331, $332, $333, $334, $335, $336, $337, $338, $339, $340)) AND ($341 = 0 OR fr.pattern in ($342)) AND ($343 = 0 OR fr.patternlengthbars <= $344) AND ($345 = 0 OR ($346 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($347 = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = $348 OR relevant = 1) AND ($349 = 0 OR age <= $350) ORDER BY identified DESC, length DESC; Date: 2022-02-17 08:00:46 Duration: 0ms Database: acaweb_fx User: postgres
4	26	206.37 MiB	5.28 MiB	14.06 MiB	7.94 MiB	)) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?; )) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 558606691 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; Date: 2022-02-17 08:01:07 Duration: 0ms Database: acaweb_fx User: postgres
5	18	121.19 MiB	5.95 MiB	7.96 MiB	6.73 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), results as ( select distinct on (s.symbolid) fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, 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, 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 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 ? = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or 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))) order by symbolid, identified desc, patternlengthbars desc ) select from results where (false = ? or relevant = ?) and (? = ? or age <= ?) 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), results AS ( SELECT DISTINCT ON (s.symbolid) fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, 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, 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 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 WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4)) AND ($5 = 0 OR s.exchange in ($6)) AND ($7 = 0 OR s.symbol in ($8)) AND ($9 = 0 OR fr.pattern in ($10)) AND ($11 = 0 OR fr.patternlengthbars <= $12) AND ($13 = 0 OR ($14 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($15 = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = $16 OR relevant = 1) AND ($17 = 0 OR age <= $18) ORDER BY identified DESC, length DESC; Date: 2022-02-17 08:04:46 Duration: 0ms Database: acaweb_fx User: postgres
6	16	112.97 MiB	6.61 MiB	8.05 MiB	7.06 MiB	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), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, 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 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 relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) order by symbolid, identified desc, patternlengthbars desc ) select from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc; SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1), kr AS ( SELECT a., rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4)) AND ($5 = 0 OR s.exchange in ($6)) AND ($7 = 0 OR s.symbol in ($8)) AND ($9 = 0 OR p.patternname in ($10)) AND ($11 = 0 OR kr.patternclassid in ($12)) AND ($13 = 0 OR kr.patternlengthbars <= $14) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = $15 OR relevant = 1) AND ($16 = 0 OR age <= $17) ORDER BY identified DESC, length DESC; Date: 2022-02-17 08:05:11 Duration: 0ms Database: acaweb_fx User: postgres
7	3	20.95 MiB	5.33 MiB	9.35 MiB	6.98 MiB	select tl.timezone langtimezone, t.timezone as timezone, (cast(substring(t.gmoffset, ?, ?) as double precision) * ? + cast(substring(t.gmoffset, ?, ?) as double precision)) / ? as gmoffset from timezones_vi_vn tl inner join timezones t on tl.timezoneid = t.timezoneid order by t.timezone; SELECT tl.timezone langTimezone, t.timezone as timezone, (cast(substring(t.gmoffset, 0, 4) as double precision) * 60 + cast(substring(t.gmoffset, 5, 2) as double precision)) / 60 as gmoffset FROM timezones_vi_VN tl INNER JOIN timezones t ON tl.timezoneid = t.timezoneid ORDER BY t.timezone; Date: 2022-02-17 08:14:09 Duration: 0ms Database: acaweb_fx User: postgres
8	2	6.37 MiB	3.04 MiB	3.33 MiB	3.18 MiB	when ? then ? when ? then ? when ? then ? when ? then ? when ? then ? end)) order by relevant desc, age asc, patternendtime desc, qtp desc limit ?; when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; Date: 2022-02-17 08:33:12 Duration: 0ms Database: acaweb_fx User: postgres
9	2	18.78 MiB	9.37 MiB	9.41 MiB	9.39 MiB	) or ((symbol ilike ? and timegranularity <= ?)) or ((symbol ilike ? and timegranularity <= ?)) or ((symbol ilike ? and timegranularity <= ?)) or ((symbol ilike ? and timegranularity <= ?))) and patternlengthbars >= ? and averagequality >= ?.? and (timequality >= ?.? or timequality = ?) and errormargin >= ?.? and ? - noise >= ?.? and s.nonliquid = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and patternendprice > ? and a.resultuid > ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, averagequality desc limit ?; ) OR ((symbol ilike '%nas100%' AND timegranularity <= 1440)) OR ((symbol ilike '%uk100%' AND timegranularity <= 1440)) OR ((symbol ilike '%ger30%' AND timegranularity <= 1440)) OR ((symbol ilike '%spx500%' AND timegranularity <= 1440))) AND patternlengthbars >= 20 AND averagequality >= 0.3 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 63 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 68653167 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50; Date: 2022-02-17 08:15:14 Duration: 0ms Database: acaweb_fx User: postgres
10	1	8.72 MiB	8.72 MiB	8.72 MiB	8.72 MiB	)) and patternlengthbars >= ? and averagequality >= ?.? and (timequality >= ?.? or timequality = ?) and errormargin >= ?.? and ? - noise >= ?.? and s.nonliquid = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and patternendprice > ? and a.resultuid > ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, averagequality desc limit ?; )) AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 63 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 68881998 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50; Date: 2022-02-17 08:13:57 Duration: 0ms Database: acaweb_fx User: postgres
11	1	9.40 MiB	9.40 MiB	9.40 MiB	9.40 MiB	) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?; ) OR ((c.symbol ilike '%wti%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%btcusd%' AND timegranularity <= 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; Date: 2022-02-17 08:31:17 Duration: 0ms Database: acaweb_fx User: postgres
12	1	7.53 MiB	7.53 MiB	7.53 MiB	7.53 MiB	) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?; ) OR ((s.symbol ilike '%usdchf%' AND timegranularity = 1440)) OR ((s.symbol ilike '%usdjpy%' AND timegranularity = 1440)) OR ((s.symbol ilike '%usdx%' AND timegranularity = 1440)) OR ((s.symbol ilike '%euraud%' AND timegranularity = 1440)) OR ((s.symbol ilike '%eurcad%' AND timegranularity = 1440)) OR ((s.symbol ilike '%eurgbp%' AND timegranularity = 1440)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity = 1440)) OR ((s.symbol ilike '%eurusd%' AND timegranularity = 1440)) OR ((s.symbol ilike '%gbpaud%' AND timegranularity = 1440)) OR ((s.symbol ilike '%gbpcad%' AND timegranularity = 1440)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity = 1440)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity = 1440)) OR ((s.symbol ilike '%audcad%' AND timegranularity = 1440)) OR ((s.symbol ilike '%audchf%' AND timegranularity = 1440)) OR ((s.symbol ilike '%audjpy%' AND timegranularity = 1440)) OR ((s.symbol ilike '%audnzd%' AND timegranularity = 1440)) OR ((s.symbol ilike '%audusd%' AND timegranularity = 1440)) OR ((s.symbol ilike '%cadchf%' AND timegranularity = 1440)) OR ((s.symbol ilike '%cadjpy%' AND timegranularity = 1440)) OR ((s.symbol ilike '%chfjpy%' AND timegranularity = 1440)) OR ((s.symbol ilike '%nzdcad%' AND timegranularity = 1440)) OR ((s.symbol ilike '%nzdchf%' AND timegranularity = 1440)) OR ((s.symbol ilike '%nzdjpy%' AND timegranularity = 1440)) OR ((s.symbol ilike '%nzdusd%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 555409599 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; Date: 2022-02-17 08:01:35 Duration: 0ms Database: acaweb_fx User: postgres
13	1	3.28 MiB	3.28 MiB	3.28 MiB	3.28 MiB	select fixcandlegaps (?, false); select fixcandlegaps ('XM', false); Date: 2022-02-17 08:06:15 Duration: 5s322ms Database: acaweb_fx User: postgres select fixcandlegaps ('LEGACYFXMT5', false); Date: 2022-02-17 08:06:08 Duration: 2s238ms Database: acaweb_fx User: postgres select fixcandlegaps ('PHILLIPFUTURES', false); Date: 2022-02-17 08:06:05 Duration: 2s221ms Database: acaweb_fx User: postgres
14	1	2.03 MiB	2.03 MiB	2.03 MiB	2.03 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: 2022-02-17 08:33:14 Duration: 460ms Database: acaweb_fx User: postgres 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: 2022-02-17 08:16:14 Duration: 330ms Database: acaweb_fx User: postgres 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: 2022-02-17 08:31:14 Duration: 324ms Database: acaweb_fx User: postgres

Queries generating the largest temporary files


[ Date: 2022-02-17 08:28:52 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:51:20 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:35:17 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:39:18 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:43:19 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:31:17 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:34:10 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:27:16 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:30:10 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:30:10 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:19:15 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:26:09 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:07:13 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:15:14 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:22:09 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:22:10 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:03:12 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:14:09 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:18:09 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:18:10 - Database: acaweb_fx - User: postgres ]

Rank	Size	Query
1	14.06 MiB	)) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 558313390 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:28:52 - Database: acaweb_fx - User: postgres ]
2	9.42 MiB	)) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 556247696 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:51:20 - Database: acaweb_fx - User: postgres ]
3	9.41 MiB	) OR ((symbol ilike '%nzdjpy%' AND timegranularity <= 1440)) OR ((symbol ilike '%chfjpy%' AND timegranularity <= 1440)) OR ((symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((symbol ilike '%gbpjpy%' AND timegranularity <= 1440))) AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 63 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 69077324 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50; [ Date: 2022-02-17 08:35:17 - Database: acaweb_fx - User: postgres ]
4	9.41 MiB	)) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 556247696 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:39:18 - Database: acaweb_fx - User: postgres ]
5	9.41 MiB	)) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 556247696 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:43:19 - Database: acaweb_fx - User: postgres ]
6	9.40 MiB	) OR ((c.symbol ilike '%wti%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%btcusd%' AND timegranularity <= 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50; [ Date: 2022-02-17 08:31:17 - Database: acaweb_fx - User: postgres ]
7	9.40 MiB	) OR ((s.symbol ilike '%nzdj%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 554954172 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:34:10 - Database: acaweb_fx - User: postgres ]
8	9.39 MiB	)) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 556247696 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:27:16 - Database: acaweb_fx - User: postgres ]
9	9.38 MiB	) OR ((s.symbol ilike '%nzdj%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 554954172 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:30:10 - Database: acaweb_fx - User: postgres ]
10	9.38 MiB	) OR ((s.symbol ilike '%eurusd%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 550890937 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:30:10 - Database: acaweb_fx - User: postgres ]
11	9.38 MiB	)) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 556247696 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:19:15 - Database: acaweb_fx - User: postgres ]
12	9.38 MiB	) OR ((s.symbol ilike '%nzdj%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 554954172 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:26:09 - Database: acaweb_fx - User: postgres ]
13	9.37 MiB	) OR ((s.symbol ilike '%xauusd%' AND timegranularity = 240))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 556105005 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:07:13 - Database: acaweb_fx - User: postgres ]
14	9.37 MiB	) OR ((symbol ilike '%nas100%' AND timegranularity <= 1440)) OR ((symbol ilike '%uk100%' AND timegranularity <= 1440)) OR ((symbol ilike '%ger30%' AND timegranularity <= 1440)) OR ((symbol ilike '%spx500%' AND timegranularity <= 1440))) AND patternlengthbars >= 20 AND averagequality >= 0.3 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 63 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 68653167 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50; [ Date: 2022-02-17 08:15:14 - Database: acaweb_fx - User: postgres ]
15	9.37 MiB	) OR ((s.symbol ilike '%audcad%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 554841921 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:22:09 - Database: acaweb_fx - User: postgres ]
16	9.37 MiB	) OR ((s.symbol ilike '%usdsgd%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 555408570 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:22:10 - Database: acaweb_fx - User: postgres ]
17	9.36 MiB	)) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 556247696 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:03:12 - Database: acaweb_fx - User: postgres ]
18	9.36 MiB	) OR ((s.symbol ilike '%audchf%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 554743676 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:14:09 - Database: acaweb_fx - User: postgres ]
19	9.36 MiB	) OR ((s.symbol ilike '%usdsgd%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 555408570 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:18:09 - Database: acaweb_fx - User: postgres ]
20	9.36 MiB	) OR ((s.symbol ilike '%eurcad%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 550891774 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50; [ Date: 2022-02-17 08:18:10 - Database: acaweb_fx - User: postgres ]

Vacuums / Analyzes Distribution

Key values

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

Autovacuum actions (5 minutes period)

Analyzes per table

Key values

unknown (0) Main table analyzed (database )
0 analyzes Total

Chart
Table

Analyzes per tables

Table	Number of analyzes
NO DATASET

Vacuums per table

Key values

unknown (0) Main table vacuumed on database
0 vacuums Total

Chart
Table

Vacuums per tables

		Index	Buffer usage			Skipped		WAL usage
Table	Vacuums	scans	hits	misses	dirtied	pins	frozen	records	full page	bytes
NO DATASET

Tuples removed per table

Key values

unknown (0) Main table with removed tuples on database
0 tuples Total removed

Chart
Table

Tuples removed per tables

		Index	Tuples			Pages
Table	Vacuums	scans	removed	remain	not yet removable	removed	remain
NO DATASET

Pages removed per table

Key values

unknown (0) Main table with removed pages on database unknown
0 pages Total removed

Chart
Table

Pages removed per tables

Table	Number of vacuums	Index scans	Tuples removed	Pages removed
NO DATASET

Autovacuum Activity

Vacuums / Analyzes

Day	Hour	VACUUMs	ANALYZEs
Feb 17	08	0	0

↑ Back to the top of the Autovacuum Activity table

Locks by types

Key values

ShareLock Main Lock Type
2 locks Total

Chart
Table

Type	Object	Count	Total Duration	Average Duration (s)
ShareLock		2	2s352ms	1s176ms
	transaction	2	2s352ms	1s176ms
	Total	2	2s352ms	1s176ms

Most frequent waiting queries (N)

Rank	Count	Total time	Min time	Max time	Avg duration	Query
1	2	2s352ms	1s170ms	1s181ms	1s176ms	update patternresultsrelevance set relevant = ?, saxo_relevant = ?, notrelevantpricedatetime = ?, reason = ? where uniqueindex = ? and relevant = ?; UPDATE patternresultsrelevance SET relevant = 0, saxo_relevant = 0, notrelevantpricedatetime = '2022-02-14 17:00:00', reason = 'Emerging pattern broke out in the wrong direction.' WHERE uniqueIndex = '969757-1\|44579.6667\|44588.6667\|44561.75\|44602.9167\|38.518\|41.029\|29.496\|38.934' and relevant = 1; Date: 2022-02-17 08:20:36 Database: acaweb_fx User: postgres UPDATE patternresultsrelevance SET relevant = 0, saxo_relevant = 0, notrelevantpricedatetime = '2022-02-14 17:00:00', reason = 'Emerging pattern broke out in the wrong direction.' WHERE uniqueIndex = '969757-1\|44579.6667\|44588.6667\|44585.7083\|44602.9167\|38.518\|41.029\|34.675\|38.934' and relevant = 1; Date: 2022-02-17 08:20:36 Database: acaweb_fx User: postgres UPDATE patternresultsrelevance SET relevant = 0, saxo_relevant = 0, notrelevantpricedatetime = '2022-02-14 17:00:00', reason = 'Emerging pattern broke out in the wrong direction.' WHERE uniqueIndex = '969757-1\|44579.6667\|44588.6667\|44585.7083\|44602.9167\|38.518\|41.029\|34.675\|38.934' and relevant = 1; Date: 2022-02-17 08:20:36 Database: acaweb_fx User: postgres

Queries that waited the most

Rank	Wait time	Query
1	1s181ms	UPDATE patternresultsrelevance SET relevant = 0, saxo_relevant = 0, notrelevantpricedatetime = '2022-02-14 17:00:00', reason = 'Emerging pattern broke out in the wrong direction.' WHERE uniqueIndex = '969757-1\|44579.6667\|44588.6667\|44561.75\|44602.9167\|38.518\|41.029\|29.496\|38.934' and relevant = 1; [ Date: 2022-02-17 08:20:36 - Database: acaweb_fx - User: postgres ]
2	1s170ms	UPDATE patternresultsrelevance SET relevant = 0, saxo_relevant = 0, notrelevantpricedatetime = '2022-02-14 17:00:00', reason = 'Emerging pattern broke out in the wrong direction.' WHERE uniqueIndex = '969757-1\|44579.6667\|44588.6667\|44585.7083\|44602.9167\|38.518\|41.029\|34.675\|38.934' and relevant = 1; [ Date: 2022-02-17 08:20:36 - Database: acaweb_fx - User: postgres ]

Queries by type

Key values

1,695 Total read queries
1,078 Total write queries

Chart
Table

Type	Count	Percentage
SELECT	1,695	60.95%
INSERT	16	0.58%
UPDATE	78	2.80%
DELETE	0	0.00%
COPY FROM	68	2.45%
COPY TO	21	0.76%
CTE	893	32.11%
DDL	2	0.07%
TCL	0	0.00%
CURSOR	0	0.00%
OTHERS	8	0.29%

Queries by database

Key values

acaweb_fx Main database
2,781 Requests
35m56s (acaweb_fx)
Main time consuming database

Chart
Table

Database	Request type	Count	Duration
acaweb_fx	Total	2,781	35m56s
	copy from	68	12s933ms
	copy to	21	10s307ms
	cte	893	21m46s
	ddl	2	150ms
	insert	16	1s74ms
	others	8	26s689ms
	select	1,695	13m6s
	update	78	12s587ms

Queries by user

Key values

postgres Main user
2,781 Requests

Queries Chart
Table

User	Request type	Count	Duration
postgres	Total	2,781	35m56s
	copy from	68	12s933ms
	copy to	21	10s307ms
	cte	893	21m46s
	ddl	2	150ms
	insert	16	1s74ms
	others	8	26s689ms
	select	1,695	13m6s
	update	78	12s587ms

Duration by user

Key values

35m56s (postgres) Main time consuming user

Duration Chart
Table

User	Request type	Count	Duration
postgres	Total	2,781	35m56s
	copy from	68	12s933ms
	copy to	21	10s307ms
	cte	893	21m46s
	ddl	2	150ms
	insert	16	1s74ms
	others	8	26s689ms
	select	1,695	13m6s
	update	78	12s587ms

Queries by host

Key values

unknown Main host
2,781 Requests
35m56s (unknown)
Main time consuming host

Chart
Table

Host	Request type	Count	Duration
unknown	Total	2,781	35m56s
	copy from	68	12s933ms
	copy to	21	10s307ms
	cte	893	21m46s
	ddl	2	150ms
	insert	16	1s74ms
	others	8	26s689ms
	select	1,695	13m6s
	update	78	12s587ms

Queries by application

Key values

unknown Main application
2,781 Requests
35m56s (unknown)
Main time consuming application

Chart
Table

Application	Request type	Count	Duration
unknown	Total	2,781	35m56s
	copy from	68	12s933ms
	copy to	21	10s307ms
	cte	893	21m46s
	ddl	2	150ms
	insert	16	1s74ms
	others	8	26s689ms
	select	1,695	13m6s
	update	78	12s587ms

Number of cancelled queries

Key values

0 per second Cancelled query Peak
2022-02-17 08:05:03 Date

Number of cancelled queries (5 minutes period)

Histogram of query times

Key values

1,113 100-500ms duration

Chart
Table

Range	Count	Percentage
0-1ms	0	0.00%
1-5ms	0	0.00%
5-10ms	0	0.00%
10-25ms	0	0.00%
25-50ms	0	0.00%
50-100ms	1,062	38.19%
100-500ms	1,113	40.02%
500-1000ms	234	8.41%
1000-10000ms	342	12.30%
> 10000ms	30	1.08%

Slowest individual queries


[ Date: 2022-02-17 08:21:27 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:25:38 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:32:38 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:47:36 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:02:36 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:18:11 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:17:29 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:18:37 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:51:08 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:04:46 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:04:23 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:36:02 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:14:43 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:29:17 - Database: acaweb_fx - User: postgres ]
[ Date: 2022-02-17 08:20:58 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:15:18 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:16:54 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:15:05 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:50:44 - Database: acaweb_fx - User: postgres - Bind query: yes ]
[ Date: 2022-02-17 08:35:43 - Database: acaweb_fx - User: postgres - Bind query: yes ]

Rank	Duration	Query
1	1m25s	select cleanupt15 (15, 5, 20); [ Date: 2022-02-17 08:21:27 - Database: acaweb_fx - User: postgres ]
2	36s839ms	select cleanupt30 (30, 20, 20); [ Date: 2022-02-17 08:25:38 - Database: acaweb_fx - User: postgres ]
3	35s636ms	select updateageforrelevantresults (); [ Date: 2022-02-17 08:32:38 - Database: acaweb_fx - User: postgres ]
4	33s807ms	select updateageforrelevantresults (); [ Date: 2022-02-17 08:47:36 - Database: acaweb_fx - User: postgres ]
5	33s806ms	select updateageforrelevantresults (); [ Date: 2022-02-17 08:02:36 - Database: acaweb_fx - User: postgres ]
6	27s903ms	WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a., rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) 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, 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 = '689' 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 currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC; [ Date: 2022-02-17 08:18:11 - Database: acaweb_fx - User: postgres - Bind query: yes ]
7	26s850ms	select updateageforrelevantresults (); [ Date: 2022-02-17 08:17:29 - Database: acaweb_fx - User: postgres ]
8	26s115ms	WITH rar_max as ( ; [ Date: 2022-02-17 08:18:37 - Database: acaweb_fx - User: postgres - Bind query: yes ]
9	22s978ms	WITH rar_max as ( ; [ Date: 2022-02-17 08:51:08 - Database: acaweb_fx - User: postgres - Bind query: yes ]
10	22s625ms	WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a., rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC; [ Date: 2022-02-17 08:04:46 - Database: acaweb_fx - User: postgres - Bind query: yes ]
11	21s97ms	WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a., rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) 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, 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 = '689' 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 currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC; [ Date: 2022-02-17 08:04:23 - Database: acaweb_fx - User: postgres - Bind query: yes ]
12	18s	WITH rar_max as ( ; [ Date: 2022-02-17 08:36:02 - Database: acaweb_fx - User: postgres - Bind query: yes ]
13	16s437ms	select * from ( SELECT timegranularity, extract(day from (max(pricedatetime) - min(pricedatetime))) from t15 a inner join symbols s on a.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = 15 AND (dss.archive is null OR dss.archive is true) group by timegranularity union SELECT timegranularity, extract(day from (max(pricedatetime) - min(pricedatetime))) from t30 a inner join symbols s on a.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = 30 AND (dss.archive is null OR dss.archive is true) group by timegranularity union SELECT timegranularity, extract(day from (max(pricedatetime) - min(pricedatetime))) from t60 a inner join symbols s on a.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = 60 AND (dss.archive is null OR dss.archive is true) group by timegranularity union SELECT timegranularity, extract(day from (max(pricedatetime) - min(pricedatetime))) from t240 a inner join symbols s on a.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = 240 AND (dss.archive is null OR dss.archive is true) group by timegranularity union SELECT timegranularity, extract(day from (max(pricedatetime) - min(pricedatetime))) from t1440 a inner join symbols s on a.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = 1440 AND (dss.archive is null OR dss.archive is true) group by timegranularity) as k order by timegranularity; [ Date: 2022-02-17 08:14:43 - Database: acaweb_fx - User: postgres - Bind query: yes ]
14	16s108ms	select cleanupt60 (60, 20, 20); [ Date: 2022-02-17 08:29:17 - Database: acaweb_fx - User: postgres ]
15	16s41ms	WITH rar_max as ( ; [ Date: 2022-02-17 08:20:58 - Database: acaweb_fx - User: postgres - Bind query: yes ]
16	15s926ms	WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a., rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) 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, 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 = '689' 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 currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC; [ Date: 2022-02-17 08:15:18 - Database: acaweb_fx - User: postgres - Bind query: yes ]
17	15s430ms	WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a., rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) 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, 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 = '689' 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 currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC; [ Date: 2022-02-17 08:16:54 - Database: acaweb_fx - User: postgres - Bind query: yes ]
18	14s196ms	select * from ( SELECT timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from keylevels_results a inner join symbols s on a.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = 15 AND (dss.archive is null OR dss.archive is true) group by timegranularity union SELECT timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from keylevels_results a inner join symbols s on a.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = 30 AND (dss.archive is null OR dss.archive is true) group by timegranularity union SELECT timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from keylevels_results a inner join symbols s on a.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = 60 AND (dss.archive is null OR dss.archive is true) group by timegranularity union SELECT timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from keylevels_results a inner join symbols s on a.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = 240 AND (dss.archive is null OR dss.archive is true) group by timegranularity union SELECT timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from keylevels_results a inner join symbols s on a.symbolid = s.symbolid INNER JOIN downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = 1440 AND (dss.archive is null OR dss.archive is true) group by timegranularity) as k order by timegranularity; [ Date: 2022-02-17 08:15:05 - Database: acaweb_fx - User: postgres - Bind query: yes ]
19	13s868ms	WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a., rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) 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, 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 = '689' 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 currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC; [ Date: 2022-02-17 08:50:44 - Database: acaweb_fx - User: postgres - Bind query: yes ]
20	13s75ms	WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a., rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) 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, 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 = '689' 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 currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC; [ Date: 2022-02-17 08:35:43 - Database: acaweb_fx - User: postgres - Bind query: yes ]

Time consuming queries


[ User: postgres - Total duration: 12m56s - Times executed: 295 ]
[ User: postgres - Total duration: 6m3s - Times executed: 148 ]
[ User: postgres - Total duration: 2m10s - Times executed: 4 ]
[ User: postgres - Total duration: 1m39s - Times executed: 158 ]
[ User: postgres - Total duration: 1m25s - Times executed: 1 ]
[ User: postgres - Total duration: 1m9s - Times executed: 98 ]
[ User: postgres - Total duration: 41s909ms - Times executed: 8 ]
[ User: postgres - Total duration: 38s422ms - Times executed: 107 ]
[ User: postgres - Total duration: 36s839ms - Times executed: 1 ]
[ User: postgres - Total duration: 34s665ms - Times executed: 28 ]
[ User: postgres - Total duration: 25s326ms - Times executed: 4 ]
[ User: postgres - Total duration: 22s637ms - Times executed: 21 ]
[ User: postgres - Total duration: 21s495ms - Times executed: 210 ]
[ User: postgres - Total duration: 21s66ms - Times executed: 142 ]
[ User: postgres - Total duration: 17s957ms - Times executed: 87 ]
[ User: postgres - Total duration: 17s956ms - Times executed: 88 ]
[ User: postgres - Total duration: 17s688ms - Times executed: 18 ]
[ User: postgres - Total duration: 16s437ms - Times executed: 1 ]
[ User: postgres - Total duration: 16s108ms - Times executed: 1 ]
[ User: postgres - Total duration: 15s408ms - Times executed: 67 ]

Most frequent queries (N)


[ User: postgres - Total duration: 12m56s - Times executed: 295 ]
[ User: postgres - Total duration: 21s495ms - Times executed: 210 ]
[ User: postgres - Total duration: 1m39s - Times executed: 158 ]
[ User: postgres - Total duration: 6m3s - Times executed: 148 ]
[ User: postgres - Total duration: 21s66ms - Times executed: 142 ]
[ User: postgres - Total duration: 38s422ms - Times executed: 107 ]
[ User: postgres - Total duration: 1m9s - Times executed: 98 ]
[ User: postgres - Total duration: 12s899ms - Times executed: 90 ]
[ User: postgres - Total duration: 17s956ms - Times executed: 88 ]
[ User: postgres - Total duration: 17s957ms - Times executed: 87 ]
[ User: postgres - Total duration: 10s213ms - Times executed: 68 ]
[ User: postgres - Total duration: 15s408ms - Times executed: 67 ]
[ User: postgres - Total duration: 9s635ms - Times executed: 60 ]
[ User: postgres - Total duration: 12s891ms - Times executed: 59 ]
[ User: postgres - Total duration: 7s923ms - Times executed: 57 ]
[ User: postgres - Total duration: 10s723ms - Times executed: 52 ]
[ User: postgres - Total duration: 9s89ms - Times executed: 50 ]
[ User: postgres - Total duration: 8s704ms - Times executed: 50 ]
[ User: postgres - Total duration: 10s436ms - Times executed: 42 ]
[ User: postgres - Total duration: 3s79ms - Times executed: 39 ]

Normalized slowest queries (N)


[ User: postgres - Total duration: 1m25s - Times executed: 1 ]
[ User: postgres - Total duration: 36s839ms - Times executed: 1 ]
[ User: postgres - Total duration: 2m10s - Times executed: 4 ]
[ User: postgres - Total duration: 16s437ms - Times executed: 1 ]
[ User: postgres - Total duration: 16s108ms - Times executed: 1 ]
[ User: postgres - Total duration: 25s326ms - Times executed: 4 ]
[ User: postgres - Total duration: 41s909ms - Times executed: 8 ]
[ User: postgres - Total duration: 12m56s - Times executed: 295 ]
[ User: postgres - Total duration: 6m3s - Times executed: 148 ]
[ User: postgres - Total duration: 34s665ms - Times executed: 28 ]
[ User: postgres - Total duration: 22s637ms - Times executed: 21 ]
[ User: postgres - Total duration: 17s688ms - Times executed: 18 ]
[ User: postgres - Total duration: 1m9s - Times executed: 98 ]
[ User: postgres - Total duration: 1m39s - Times executed: 158 ]
[ User: postgres - Total duration: 38s422ms - Times executed: 107 ]
[ User: postgres - Total duration: 10s436ms - Times executed: 42 ]
[ User: postgres - Total duration: 15s408ms - Times executed: 67 ]
[ User: postgres - Total duration: 12s891ms - Times executed: 59 ]
[ User: postgres - Total duration: 17s957ms - Times executed: 87 ]
[ User: postgres - Total duration: 10s723ms - Times executed: 52 ]

Time consuming prepare

Rank	Total duration	Times executed	Min duration	Max duration	Avg duration	Query
NO DATASET

Time consuming bind


[ User: postgres - Total duration: 87ms - Times executed: 1 ]
[ User: postgres - Total duration: 55ms - Times executed: 1 ]
[ User: postgres - Total duration: 129ms - Times executed: 1 ]
[ User: postgres - Total duration: 120ms - Times executed: 1 ]
[ User: postgres - Total duration: 107ms - Times executed: 1 ]
[ User: postgres - Total duration: 109ms - Times executed: 1 ]
[ User: postgres - Total duration: 63ms - Times executed: 1 ]
[ User: postgres - Total duration: 54ms - Times executed: 1 ]
[ User: postgres - Total duration: 59ms - Times executed: 1 ]
[ User: postgres - Total duration: 441ms - Times executed: 1 ]
[ User: postgres - Total duration: 78ms - Times executed: 1 ]
[ User: postgres - Total duration: 125ms - Times executed: 1 ]
[ User: postgres - Total duration: 111ms - Times executed: 1 ]
[ User: postgres - Total duration: 132ms - Times executed: 1 ]
[ User: postgres - Total duration: 404ms - Times executed: 1 ]
[ User: postgres - Total duration: 476ms - Times executed: 1 ]
[ User: postgres - Total duration: 142ms - Times executed: 1 ]
[ User: postgres - Total duration: 123ms - Times executed: 1 ]
[ User: postgres - Total duration: 342ms - Times executed: 1 ]
[ User: postgres - Total duration: 128ms - Times executed: 1 ]

Log levels

Key values

31,714 Log entries

Chart
Table

Type	Count	Percentage
CONTEXT	6	0.02%
DETAIL	10,428	32.88%
ERROR	8,834	27.86%
LOG	3,322	10.47%
STATEMENT	8,842	27.88%
WARNING	282	0.89%

Events distribution

Key values

0 PANIC entries
0 FATAL entries
8836 ERROR entries
282 WARNING entries

Most Frequent Errors/Events

Key values

8,827 Max number of times the same event was reported
9,118 Total events found

Rank

Times reported

Error

1

8,827

Details

ERROR: duplicate key value violates unique constraint "..."

Times Reported Most Frequent Error / Event #1

Day	Hour	Count
Feb 17	08	8,827

ERROR: duplicate key value violates unique constraint "pk_t15"
ERROR: duplicate key value violates unique constraint "pk_t30"
ERROR: duplicate key value violates unique constraint "pk_t60"

2

282

Details

WARNING: there is no transaction in progress

Times Reported Most Frequent Error / Event #2

Day	Hour	Count
Feb 17	08	282

WARNING: there is no transaction in progress

3

7

Details

ERROR: relation "..." does not exist

Times Reported Most Frequent Error / Event #3

Day	Hour	Count
Feb 17	08	7

ERROR: relation "timezones_vi_vn" does not exist at character 191
ERROR: relation "timezones_th_th" does not exist at character 191

4

2

Details

LOG: process ... still waiting for ShareLock on transaction ... after ... ms

Times Reported Most Frequent Error / Event #4

Day	Hour	Count
Feb 17	08	2

LOG: process 23326 still waiting for ShareLock on transaction 260120103 after 1000.042 ms
LOG: process 23327 still waiting for ShareLock on transaction 260120103 after 1000.034 ms

Global information

Overview

Global Stats

SQL Traffic

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SELECT Traffic

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INSERT/UPDATE/DELETE Traffic

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Queries duration

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Prepared queries ratio

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General Activity

Connections

Established Connections

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Connections per database

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Connections per database

Connections per user

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Connections per user

Connections per host

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Connections per host

Sessions

Simultaneous sessions

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Histogram of session times

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Sessions per database

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Sessions per database

Sessions per user

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Sessions per user

Sessions per host

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Connections per host

Sessions per application

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Sessions per application

Checkpoints / Restartpoints

Checkpoints Buffers

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Checkpoint write buffers (5 minutes period)

Checkpoints Wal files

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Checkpoint Wal files usage (5 minutes period)

Checkpoints distance

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Checkpoints Activity

Checkpoint causes

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Checkpoint causes

Temporary Files

Size of temporary files

Key values

Number of temporary files

Key values

Temporary Files Activity

Queries generating the most temporary files (N)

Queries generating the largest temporary files

Vacuums

Vacuums / Analyzes Distribution

Key values

Autovacuum actions (5 minutes period)

Analyzes per table

Key values

Analyzes per tables

Vacuums per table

Key values

Vacuums per tables

Tuples removed per table

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Tuples removed per tables

Pages removed per table

Key values

Pages removed per tables