-
Global information
- Generated on Sun Mar 22 13:59:18 2026
- Log file: /home/postgres/pg_data/data/pg_log/postgresql-2026-03-22_150000.log
- Parsed 538,178 log entries in 17s
- Log start from 2026-03-22 15:00:00 to 2026-03-22 15:59:16
-
Overview
Global Stats
- 195 Number of unique normalized queries
- 78,388 Number of queries
- 1h12m42s Total query duration
- 2026-03-22 15:00:00 First query
- 2026-03-22 15:59:16 Last query
- 1,557 queries/s at 2026-03-22 15:00:04 Query peak
- 1h12m42s Total query duration
- 3s204ms Prepare/parse total duration
- 18s439ms Bind total duration
- 1h12m21s Execute total duration
- 238 Number of events
- 2 Number of unique normalized events
- 237 Max number of times the same event was reported
- 0 Number of cancellation
- 653 Total number of automatic vacuums
- 47 Total number of automatic analyzes
- 1,441 Number temporary file
- 621.98 MiB Max size of temporary file
- 98.49 MiB Average size of temporary file
- 1,898 Total number of sessions
- 12 sessions at 2026-03-22 15:55:37 Session peak
- 16h12m16s Total duration of sessions
- 30s735ms Average duration of sessions
- 41 Average queries per session
- 2s298ms Average queries duration per session
- 28s437ms Average idle time per session
- 1,898 Total number of connections
- 27 connections/s at 2026-03-22 15:18:48 Connection peak
- 3 Total number of databases
SQL Traffic
Key values
- 1,557 queries/s Query Peak
- 2026-03-22 15:00:04 Date
SELECT Traffic
Key values
- 770 queries/s Query Peak
- 2026-03-22 15:00:04 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 90 queries/s Query Peak
- 2026-03-22 15:36:51 Date
Queries duration
Key values
- 1h12m42s Total query duration
Prepared queries ratio
Key values
- 0.00 Ratio of bind vs prepare
- 0.00 % Ratio between prepared and "usual" statements
General Activity
↑ Back to the top of the General Activity tableDay Hour Count Min duration Max duration Avg duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Mar 22 15 78,388 0ms 19s182ms 55ms 1m54s 2m10s 2m20s Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Mar 22 15 21,753 26 0ms 0ms 0ms 0ms Day Hour INSERT UPDATE DELETE COPY FROM Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Mar 22 15 11,687 524 16 96 0ms 0ms 0ms 0ms Day Hour Prepare Bind Bind/Prepare Percentage of prepare Mar 22 15 10,404 22,758 2.19 28.28% Day Hour Count Average / Second Mar 22 15 1,898 0.53/s Day Hour Count Average Duration Average idle time Mar 22 15 1,898 30s735ms 28s448ms -
Connections
Established Connections
Key values
- 27 connections Connection Peak
- 2026-03-22 15:18:48 Date
Connections per database
Key values
- acaweb_fx Main Database
- 1,898 connections Total
Connections per user
Key values
- postgres Main User
- 1,898 connections Total
Connections per host
Key values
- 192.168.4.142 Main host with 802 connections
- 1,898 Total connections
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Sessions
Simultaneous sessions
Key values
- 12 sessions Session Peak
- 2026-03-22 15:55:37 Date
Histogram of session times
Key values
- 1,501 0-500ms duration
Sessions per database
Key values
- acaweb_fx Main Database
- 1,898 sessions Total
Sessions per user
Key values
- postgres Main User
- 1,898 sessions Total
Sessions per host
Key values
- 192.168.4.142 Main Host
- 1,898 sessions Total
Host Count Total Duration Average Duration 127.0.0.1 106 3s48ms 28ms 192.168.0.114 2 10m 5m 192.168.0.216 116 6m27s 3s336ms 192.168.0.74 37 2h45m36s 4m28s 192.168.1.145 10 57m38s 5m45s 192.168.1.15 8 36m12s 4m31s 192.168.1.20 33 11h21m2s 20m38s 192.168.1.239 54 253ms 4ms 192.168.1.90 42 826ms 19ms 192.168.2.126 18 5s434ms 301ms 192.168.3.199 38 22s690ms 597ms 192.168.4.142 802 7m45s 580ms 192.168.4.33 65 3m3s 2s822ms 192.168.4.98 330 13s237ms 40ms [local] 237 3m45s 952ms -
Checkpoints / Restartpoints
Checkpoints Buffers
Key values
- 13,791 buffers Checkpoint Peak
- 2026-03-22 15:04:47 Date
- 209.153 seconds Highest write time
- 3.627 seconds Sync time
Checkpoints Wal files
Key values
- 4 files Wal files usage Peak
- 2026-03-22 15:04:47 Date
Checkpoints distance
Key values
- 122.67 Mo Distance Peak
- 2026-03-22 15:04:47 Date
Checkpoints Activity
↑ Back to the top of the Checkpoint Activity tableDay Hour Written buffers Write time Sync time Total time Mar 22 15 27,553 1,719.717s 8.324s 1,734.859s Day Hour Added Removed Recycled Synced files Longest sync Average sync Mar 22 15 0 0 14 1,574 3.626s 0.066s Day Hour Count Avg time (sec) Mar 22 15 0 0s Day Hour Mean distance Mean estimate Mar 22 15 19,378.58 kB 206,053.42 kB -
Temporary Files
Size of temporary files
Key values
- 630.71 MiB Temp Files size Peak
- 2026-03-22 15:50:59 Date
Number of temporary files
Key values
- 30 per second Temp Files Peak
- 2026-03-22 15:02:08 Date
Temporary Files Activity
↑ Back to the top of the Temporary Files Activity tableDay Hour Count Total size Average size Mar 22 15 1,441 138.60 GiB 98.49 MiB Queries generating the most temporary files (N)
Rank Count Total size Min size Max size Avg size Query 1 237 135.49 GiB 435.35 MiB 621.98 MiB 585.40 MiB classname, case when latestdbwritetime < current_timestamp - interval ? then ? else ? end as is_stale from latest_t15_candle_view order by classname;-
classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;
Date: 2026-03-22 15:00:13 Duration: 0ms
2 78 131.23 MiB 137.65 KiB 3.87 MiB 1.68 MiB with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ), ar as ( select a.*, rr.age, rr.relevant from autochartist_results a left outer join relevance_autochartist_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_autochartist_results) end ), all_results as ( select ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? else ? end as age, case when ar.relevant is not null then ar.relevant when ar.resultuid <= rm.resultuid then ? else ? end as relevant from ar inner join symbols s on ar.symbolid = s.symbolid and s.nonliquid = ? inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = s.symbolid inner join symbolgroup sg on bsl.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on sg.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join autochartist_symbolupdates au on dss.symbolid = au.symbolid left outer join currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where ar.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ar.pattern in (...)) and (? = ? or (? = ? and ar.breakout >= ?) or (? = ? and ar.breakout < ?)) and (? = ? or ar.patternlengthbars <= ?) and newlevels.filtered = false and ar.patternstarttime >= coalesce(au.earliestpricedatetime, ?::timestamp without time zone) -- to make sure patternstarttime is in our t-tables ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc ;-
WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), all_results AS ( SELECT ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN autochartist_symbolupdates au on dss.symbolid = au.symbolid LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226)) AND ($227 = 0 OR ar.pattern in ($228)) AND ($229 = 0 OR ($230 = 1 AND ar.breakout >= 0) OR ($231 = 2 AND ar.breakout < 0)) AND ($232 = 0 OR ar.patternlengthbars <= $233) and newLevels.filtered = false AND ar.patternstarttime >= coalesce(au.earliestpricedatetime, '1900-01-01'::timestamp without time zone) -- To make sure patternstarttime is in our t-tables ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $234 OR relevant = 1) AND ($235 = 0 OR age <= $236) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-03-22 15:00:50 Duration: 0ms
3 25 116.84 MiB 4.58 MiB 5.02 MiB 4.67 MiB select resultuid from relevance_fibonacci_results order by resultuid desc limit ?), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end), all_results as ( select fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join lateral calc_fib_signal_filter (fr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp)))), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;-
SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226)) AND ($227 = 0 OR fr.pattern in ($228)) AND ($229 = 0 OR fr.patternlengthbars <= $230) AND ($231 = 0 OR ($232 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($233 = 2 AND fr.timed < cast('1970-01-01' as timestamp)))), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $234 OR relevant = 1) AND ($235 = 0 OR age <= $236) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-03-22 15:00:58 Duration: 0ms
4 24 72.06 MiB 3.00 MiB 3.00 MiB 3.00 MiB jr.resultuid as resultuid, jr.direction as direction, jr.patternendtime as identified, jr.patternlengthbars as length, jr.patternstarttime as patternstarttime, case when jr.trendchangeid = ? then ? else ? end as trendchange, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, jp.patternname as pattern_name, dtt.timezone as timezone, ? as age, cps.pip, g.basegroupname from japsticks_results jr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = jr.symbolid inner join relevance_japsticks_results rar on rar.resultuid = jr.resultuid inner join symbols s on jr.symbolid = s.symbolid and s.nonliquid = ? inner join japsticks_patterns jp on jr.patternid = jp.id inner join downloadersymbolsettings dss on jr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where jr.gmttimefound > now() - interval ? and s.deleted = ? and (jr.simulation = ? or jr.simulation is null) and (rar.relevant = ?) --and (semicolon_age = ? or rar.age <= semicolon_age) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or jp.patternname in (...)) and (? = ? or jr.patternlengthbars <= ?) ), results as ( select distinct on (symbolid) * from all_results order by symbolid, resultuid ) select * from results order by identified desc, length desc ;-
jr.resultuid AS resultuid, jr.direction AS direction, jr.patternendtime AS identified, jr.patternlengthbars AS length, jr.patternstarttime AS patternstarttime, case when jr.trendchangeid = 1 then 'Continuation' else 'Reversal' end AS trendchange, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, jp.patternname AS pattern_name, dtt.timezone AS timezone, 0 AS age, cps.pip, g.basegroupname FROM japsticks_results jr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $1 AND bsl.symbolid = jr.symbolid INNER JOIN relevance_japsticks_results rar ON rar.resultuid = jr.resultuid INNER JOIN symbols s ON jr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN japsticks_patterns jp ON jr.patternid = jp.id INNER JOIN downloadersymbolsettings dss ON jr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE jr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (jr.simulation = 0 OR jr.simulation IS NULL) AND (rar.relevant = 1) --AND (semicolon_age = 0 OR rar.age <= semicolon_age) AND ($2 = 0 OR s.timegranularity in ($3)) AND ($4 = 0 OR s.exchange in ($5)) AND ($6 = 0 OR coalesce(bim.code, s.symbol) in ($7)) AND ($8 = 0 OR jp.patternname in ($9)) AND ($10 = 0 OR jr.patternlengthbars <= $11)), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-03-22 15:02:59 Duration: 0ms
5 16 623.75 MiB 38.98 MiB 38.98 MiB 38.98 MiB update solr_relevance_old set new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total from ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total from whatshot_probability where type = ?) sub where result_uid = sub.resultuid;-
UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type = 'cp') sub WHERE result_uid = sub.resultuid;
Date: 2026-03-22 15:01:15 Duration: 0ms
6 16 1.23 GiB 78.61 MiB 78.61 MiB 78.61 MiB with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then ? else ? end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then ? else ? end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike ? inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike ?) sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike ?; update solr_relevance_old set newrelevant = ? where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike ? and a.resultuid is null); update solr_relevance_old set new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total from ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total from whatshot_probability where type in (...)) sub where result_uid = sub.resultuid;-
with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid;
Date: 2026-03-22 15:01:18 Duration: 0ms
7 5 19.33 MiB 3.87 MiB 3.87 MiB 3.87 MiB select resultuid from relevance_consecutivecandles_results order by resultuid desc limit ?), all_results as ( select ccr.resultuid as resultuid, ccr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ccr.patternendtime as identified, dtt.timezone as timezone, ccr.qtyconsecutivecandles as length, g.basegroupname, case when rcr.age is not null then rcr.age when ccr.resultuid <= rm.resultuid then ? else ? end as age, case when rcr.relevant is not null then rcr.relevant when ccr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip, newlevels.filtered from consecutivecandles_results ccr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = ccr.symbolid inner join symbols s on ccr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on ccr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on ccr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join rar_max rm on ? = ? left outer join relevance_consecutivecandles_results rcr on rcr.resultuid = ccr.resultuid left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? left join lateral calc_cc_signal_filter (ccr.resultuid) newlevels on true where ccr.gmttimefound > now() - interval ? and s.deleted = ? and (ccr.simulation = ? or ccr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ccr.patternlengthbars <= ?)), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;-
SELECT resultuid FROM relevance_consecutivecandles_results ORDER BY resultuid DESC LIMIT 1), all_results AS ( SELECT ccr.resultuid AS resultuid, ccr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ccr.patternendtime AS identified, dtt.timezone AS timezone, ccr.qtyconsecutivecandles AS length, g.basegroupname, CASE WHEN rcr.age IS NOT NULL THEN rcr.age WHEN ccr.resultuid <= rm.resultuid THEN 1 ELSE 0 END as age, CASE WHEN rcr.relevant IS NOT NULL THEN rcr.relevant WHEN ccr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip, newLevels.filtered FROM consecutivecandles_results ccr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $1 AND bsl.symbolid = ccr.symbolid INNER JOIN symbols s ON ccr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON ccr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on ccr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_consecutivecandles_results rcr ON rcr.resultuid = ccr.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' LEFT JOIN LATERAL calc_cc_signal_filter (ccr.resultuid) newLevels on true WHERE ccr.gmttimefound > now() - INTERVAL '7 DAYS' AND s.deleted = 0 AND (ccr.simulation = 0 OR ccr.simulation IS NULL) AND ($2 = 0 OR s.timegranularity in ($3, $4, $5, $6, $7, $8, $9)) AND ($10 = 0 OR s.exchange in ($11)) AND ($12 = 0 OR coalesce(bim.code, s.symbol) in ($13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322)) AND ($323 = 0 OR ccr.patternlengthbars <= $324)), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $325 OR relevant = 1) AND ($326 = 0 OR age <= $327) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2026-03-22 15:07:51 Duration: 0ms
8 4 572.02 MiB 143.00 MiB 143.01 MiB 143.00 MiB select updateresultsmaterializedview ();-
select updateresultsmaterializedview ();
Date: 2026-03-22 15:02:13 Duration: 0ms
9 4 318.18 MiB 79.54 MiB 79.55 MiB 79.55 MiB select updateageforrelevantresults ();-
select updateageforrelevantresults ();
Date: 2026-03-22 15:02:04 Duration: 0ms
10 1 59.33 MiB 59.33 MiB 59.33 MiB 59.33 MiB select cleanuppatternresultsrelevance ();-
select cleanuppatternresultsrelevance ();
Date: 2026-03-22 15:00:05 Duration: 0ms
Queries generating the largest temporary files
Rank Size Query 1 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:00:13 ]
2 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:03:58 ]
3 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:04:13 ]
4 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:04:28 ]
5 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:06:14 ]
6 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:07:29 ]
7 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:12:00 ]
8 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:13:30 ]
9 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:13:44 ]
10 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:14:43 ]
11 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:17:14 ]
12 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:26:59 ]
13 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:27:14 ]
14 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:27:30 ]
15 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:27:45 ]
16 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:31:44 ]
17 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:32:43 ]
18 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:39:58 ]
19 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:46:29 ]
20 621.98 MiB classname, CASE WHEN latestdbwritetime < current_timestamp - interval '18 hours' THEN 1 ELSE 0 END AS is_stale FROM latest_t15_candle_view order by classname;[ Date: 2026-03-22 15:48:59 ]
-
Vacuums
Vacuums / Analyzes Distribution
Key values
- 0 sec Highest CPU-cost vacuum
Table
Database - Date
- 0 sec Highest CPU-cost analyze
Table
Database - Date
Analyzes per table
Key values
- public.solr_relevance_old (18) Main table analyzed (database acaweb_fx)
- 47 analyzes Total
Table Number of analyzes acaweb_fx.public.solr_relevance_old 18 acaweb_fx.pg_catalog.pg_attribute 8 acaweb_fx.pg_catalog.pg_type 4 acaweb_fx.pg_catalog.pg_class 4 acaweb_fx.public.datafeeds_latestrun 3 acaweb_fx.public.relevance_fibonacci_results 2 acaweb_fx.pg_catalog.pg_index 1 acaweb_fx.public.t60 1 acaweb_fx.public.autochartist_symbolupdates 1 acaweb_fx.public.latest_t15_candle_view 1 acaweb_fx.pg_catalog.pg_depend 1 acaweb_fx.public.relevance_keylevels_results 1 acaweb_fx.public.latest_candle_datetime_per_receng 1 acaweb_fx.public.relevance_autochartist_results 1 Total 47 Vacuums per table
Key values
- public.solr_relevance_old (21) Main table vacuumed on database acaweb_fx
- 653 vacuums Total
Index Buffer usage Skipped WAL usage Table Vacuums scans hits misses dirtied pins frozen records full page bytes acaweb_fx.public.solr_relevance_old 21 20 13,476 0 324 0 209 7,311 1,178 5,602,438 acaweb_fx.public.datafeeds_latestrun 3 0 362 0 8 0 0 36 6 36,589 acaweb_fx.pg_catalog.pg_attribute 3 3 2,800 0 390 0 201 1,057 381 2,239,900 acaweb_fx.pg_catalog.pg_class 2 2 905 0 44 0 0 249 90 451,975 acaweb_fx.pg_catalog.pg_type 2 2 355 0 34 0 0 158 25 119,774 postgres.pg_catalog.pg_shdepend 1 1 86 0 17 0 0 29 13 93,160 postgres.pg_catalog.pg_description 1 0 28 0 0 0 35 1 0 233 template1.pg_catalog.pg_init_privs 1 0 29 0 0 0 0 1 0 233 template0.pg_catalog.pg_conversion 1 0 6 0 0 0 0 1 0 233 translations.pg_catalog.pg_cast 1 0 17 0 0 0 0 1 0 233 postgres.pg_toast.pg_toast_3429 1 0 27 0 0 0 0 1 0 188 postgres.pg_catalog.pg_ts_config_map 1 0 7 0 0 0 0 1 0 233 template1.pg_catalog.pg_auth_members 1 0 12 0 0 0 0 3 2 8,746 template1.pg_toast.pg_toast_13487 1 0 27 0 0 0 0 1 0 188 template1.pg_catalog.pg_proc 1 0 5 0 0 0 80 1 0 233 socialmedia.pg_catalog.pg_largeobject 1 0 27 0 1 0 0 1 1 8,037 template0.information_schema.sql_parts 1 0 10 0 0 0 0 1 0 188 translations.pg_toast.pg_toast_1213 1 0 28 0 0 0 0 1 0 188 postgres.pg_toast.pg_toast_1260 1 0 27 0 1 0 0 1 1 8,177 translations.pg_catalog.pg_collation 1 0 35 0 0 0 0 1 0 233 postgres.pg_catalog.pg_ts_dict 1 0 5 0 0 0 0 1 0 233 socialmedia.pg_toast.pg_toast_1255 1 0 27 0 0 0 0 1 0 188 template1.pg_toast.pg_toast_3592 1 0 28 0 0 0 0 1 0 188 postgres.pg_toast.pg_toast_13492 1 0 27 0 0 0 0 1 0 188 template1.pg_catalog.pg_statistic_ext_data 1 0 7 0 1 0 0 1 1 4,869 postgres.pg_catalog.pg_extension 1 0 33 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_seclabel 1 0 47 0 0 0 0 1 0 233 template1.pg_catalog.pg_range 1 0 5 0 0 0 0 1 0 233 template0.pg_catalog.pg_subscription_rel 1 0 7 0 0 0 0 1 0 233 acaweb_fx.public.latest_t15_candle_view 1 1 66 0 5 0 0 6 2 9,290 template1.pg_catalog.pg_publication_rel 1 0 11 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_13492 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_operator 1 0 19 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_2964 1 0 28 0 0 0 0 1 0 188 template0.pg_catalog.pg_policy 1 0 42 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_2620 1 0 27 0 0 0 0 1 0 188 template0.pg_catalog.pg_trigger 1 0 44 0 0 0 0 1 0 233 translations.pg_catalog.pg_publication_rel 1 0 11 0 0 0 0 1 0 233 translations.pg_catalog.pg_attribute 1 0 7 0 0 0 52 1 0 233 template1.pg_catalog.pg_default_acl 1 0 22 0 0 0 0 1 0 233 socialmedia.pg_toast.pg_toast_1418 1 0 28 0 0 0 0 1 0 188 translations.pg_toast.pg_toast_13502 1 0 26 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_foreign_server 1 0 11 0 0 0 0 1 0 233 template0.pg_catalog.pg_extension 1 0 33 0 0 0 0 1 0 233 translations.pg_catalog.pg_replication_origin 1 0 13 0 0 0 0 1 0 233 template0.pg_catalog.pg_attribute 1 0 7 0 0 0 52 1 0 233 template1.pg_toast.pg_toast_3429 1 0 27 0 0 0 0 1 0 188 template0.pg_catalog.pg_db_role_setting 1 0 8 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_3118 1 0 28 0 0 0 0 1 0 188 template0.pg_toast.pg_toast_3466 1 0 27 0 0 0 0 1 0 188 template1.pg_catalog.pg_inherits 1 0 42 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_ts_dict 1 0 6 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_1247 1 0 27 0 0 0 0 1 0 188 template0.pg_catalog.pg_ts_template 1 0 5 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_statistic_ext 1 0 30 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_db_role_setting 1 0 9 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_shdepend 1 0 96 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_transform 1 0 11 0 0 0 0 1 0 233 socialmedia.pg_toast.pg_toast_6100 1 0 28 0 0 0 0 1 0 188 postgres.pg_catalog.pg_operator 1 0 24 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_auth_members 1 0 12 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_1213 1 0 28 0 0 0 0 1 0 188 translations.pg_toast.pg_toast_3429 1 0 27 0 0 0 0 1 0 188 translations.pg_catalog.pg_constraint 1 0 58 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_sequence 1 1 14 0 7 0 0 9 3 11,027 socialmedia.pg_toast.pg_toast_2618 1 1 50 0 14 0 54 32 11 39,212 template1.pg_toast.pg_toast_2619 1 0 27 0 0 0 0 1 0 188 postgres.pg_catalog.pg_default_acl 1 0 22 0 0 0 0 1 0 233 translations.pg_catalog.pg_tablespace 1 0 28 0 0 0 0 1 0 233 postgres.pg_catalog.pg_transform 1 0 11 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_2604 1 0 27 0 0 0 0 1 0 188 postgres.pg_catalog.pg_subscription 1 0 12 0 1 0 0 1 1 7,125 socialmedia.pg_toast.pg_toast_13502 1 0 26 0 0 0 0 1 0 188 template0.pg_catalog.pg_inherits 1 0 42 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_3466 1 0 27 0 0 0 0 1 0 188 template1.pg_toast.pg_toast_2612 1 0 27 0 0 0 0 1 0 188 postgres.pg_catalog.pg_cast 1 0 17 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_default_acl 1 0 22 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_ts_dict 1 0 5 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_3350 1 0 27 0 0 0 0 1 0 188 socialmedia.information_schema.sql_parts 1 0 10 0 0 0 0 1 0 188 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233 template1.pg_catalog.pg_description 1 0 28 0 0 0 35 1 0 233 translations.pg_toast.pg_toast_1260 1 0 25 0 1 0 0 1 1 8,177 template0.pg_catalog.pg_largeobject_metadata 1 0 24 0 0 0 0 1 0 233 translations.pg_catalog.pg_largeobject_metadata 1 0 24 0 0 0 0 1 0 233 translations.pg_catalog.pg_inherits 1 0 42 0 0 0 0 1 0 233 template0.pg_catalog.pg_publication 1 0 11 0 0 0 0 1 0 233 template1.pg_catalog.pg_cast 1 0 17 0 0 0 0 1 0 233 socialmedia.pg_toast.pg_toast_1417 1 0 27 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_user_mapping 1 0 11 0 0 0 0 1 0 221 template0.pg_catalog.pg_class 1 0 48 0 0 0 0 1 0 233 socialmedia.pg_toast.pg_toast_2328 1 0 27 0 0 0 0 1 0 188 translations.pg_catalog.pg_extension 1 0 33 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_2604 1 0 33 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_am 1 0 28 0 0 0 0 1 0 233 template1.pg_catalog.pg_attribute 1 0 7 0 0 0 52 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_2964 1 0 34 0 0 0 0 1 0 188 template0.pg_toast.pg_toast_2328 1 0 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188 translations.pg_toast.pg_toast_826 1 0 27 0 0 0 0 1 0 188 translations.pg_catalog.pg_opfamily 1 0 7 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_1418 1 0 34 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_namespace 1 0 8 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_6000 1 0 34 0 0 0 0 1 0 188 postgres.pg_toast.pg_toast_6100 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_publication_rel 1 0 12 0 0 0 0 1 0 233 translations.pg_catalog.pg_rewrite 1 0 27 0 0 0 0 1 0 233 translations.pg_catalog.pg_type 1 0 14 0 0 0 0 1 0 233 socialmedia.pg_toast.pg_toast_2612 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_foreign_server 1 0 12 0 0 0 0 1 0 233 template0.pg_catalog.pg_subscription 1 0 12 0 1 0 0 1 1 7,125 template1.pg_toast.pg_toast_3118 1 0 28 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_shseclabel 1 0 8 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_3394 1 0 27 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_1247 1 0 27 0 0 0 0 1 0 188 template0.pg_toast.pg_toast_1255 1 0 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5 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_class 1 1 80 0 17 0 0 39 11 71,410 translations.pg_catalog.pg_publication 1 0 11 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_attrdef 1 1 50 0 10 0 0 12 5 19,300 translations.pg_catalog.pg_opclass 1 0 8 0 0 0 0 1 0 233 postgres.pg_catalog.pg_opclass 1 0 9 0 0 0 0 1 0 233 template0.pg_catalog.pg_amop 1 0 21 0 0 0 0 1 0 233 postgres.pg_catalog.pg_tablespace 1 0 18 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_statistic_ext_data 1 0 8 0 0 0 0 1 0 221 template0.pg_catalog.pg_constraint 1 0 58 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_partitioned_table 1 0 8 0 0 0 0 1 0 233 socialmedia.pg_toast.pg_toast_3600 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.public.authenticationlog 1 0 95 0 0 0 544,146 1 0 233 template1.pg_catalog.pg_event_trigger 1 0 11 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_2618 1 0 25 0 0 0 59 1 0 188 template1.pg_catalog.pg_aggregate 1 0 6 0 0 0 0 1 0 233 acaweb_fx_integer.information_schema.sql_parts 1 0 12 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_2964 1 0 28 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_1213 1 0 28 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_2396 1 0 29 0 0 0 0 1 0 188 acaweb_fx_integer.public.acresearch_corrsig_sent 1 0 78 0 1 0 2,483 1 1 7,321 template0.pg_catalog.pg_ts_dict 1 0 5 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_largeobject_metadata 1 0 29 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_3079 1 0 27 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_trigger 1 1 50 0 12 0 0 12 6 24,285 postgres.pg_toast.pg_toast_3350 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_amop 1 0 25 0 0 0 0 1 0 233 postgres.pg_catalog.pg_class 1 0 48 0 2 0 0 2 1 8,489 template0.pg_catalog.pg_type 1 0 14 0 0 0 0 1 0 233 template1.pg_toast.pg_toast_3596 1 0 27 0 0 0 0 1 0 188 template1.pg_catalog.pg_foreign_server 1 0 11 0 0 0 0 1 0 233 socialmedia.pg_toast.pg_toast_3466 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_subscription 1 0 13 0 1 0 0 1 1 7,473 acaweb_fx_integer.pg_toast.pg_toast_3350 1 0 33 0 0 0 0 1 0 188 translations.pg_catalog.pg_namespace 1 0 7 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_1255 1 0 27 0 0 0 0 1 0 188 template1.pg_catalog.pg_extension 1 0 33 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_partitioned_table 1 0 7 0 0 0 0 1 0 233 acaweb_fx_integer.information_schema.sql_sizing 1 0 11 0 0 0 0 1 0 233 postgres.pg_catalog.pg_trigger 1 0 44 0 0 0 0 1 0 233 template1.pg_catalog.pg_index 1 0 14 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_2396 1 0 28 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_sequence 1 0 6 0 0 0 0 1 0 233 postgres.pg_toast.pg_toast_1213 1 0 27 0 0 0 0 1 0 188 postgres.pg_toast.pg_toast_3394 1 0 27 0 0 0 0 1 0 188 translations.pg_catalog.pg_default_acl 1 0 22 0 0 0 0 1 0 233 template0.pg_catalog.pg_am 1 0 28 0 0 0 0 1 0 233 postgres.pg_catalog.pg_replication_origin 1 0 11 0 0 0 0 1 0 233 socialmedia.pg_toast.pg_toast_2604 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_event_trigger 1 0 12 0 0 0 0 1 0 233 postgres.pg_catalog.pg_attribute 1 0 7 0 0 0 53 1 0 233 acaweb_fx_integer.pg_catalog.pg_authid 1 0 25 0 1 0 0 1 1 7,625 socialmedia.pg_catalog.pg_attribute 1 1 104 0 33 0 35 72 28 164,400 template1.pg_catalog.pg_tablespace 1 0 23 0 0 0 0 1 0 233 template0.pg_catalog.pg_publication_rel 1 0 11 0 0 0 0 1 0 233 translations.pg_catalog.pg_proc 1 0 5 0 0 0 80 1 0 233 translations.pg_toast.pg_toast_3596 1 0 27 0 0 0 0 1 0 188 translations.pg_catalog.pg_seclabel 1 0 39 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_2609 1 0 28 0 0 0 0 1 0 188 template0.pg_toast.pg_toast_3600 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_foreign_data_wrapper 1 0 12 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_1418 1 0 28 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_enum 1 0 43 0 0 0 0 1 0 233 postgres.pg_catalog.pg_authid 1 0 30 0 9 0 0 8 4 24,489 acaweb_fx_integer.pg_catalog.pg_opfamily 1 0 8 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_2328 1 0 27 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_language 1 0 7 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_1417 1 0 27 0 0 0 0 1 0 188 template1.pg_catalog.pg_ts_config_map 1 0 7 0 0 0 0 1 0 233 template1.pg_catalog.pg_ts_config 1 0 5 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_3256 1 0 28 0 0 0 0 1 0 188 template0.pg_catalog.pg_proc 1 0 5 0 0 0 80 1 0 233 template1.pg_toast.pg_toast_1213 1 0 28 0 0 0 0 1 0 188 translations.pg_catalog.pg_trigger 1 0 44 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_default_acl 1 0 26 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_3592 1 0 28 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_3350 1 0 27 0 1 0 0 1 1 8,177 socialmedia.pg_catalog.pg_database 1 0 12 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_event_trigger 1 0 11 0 0 0 0 1 0 233 translations.pg_catalog.pg_partitioned_table 1 0 7 0 0 0 0 1 0 233 translations.pg_catalog.pg_range 1 0 5 0 0 0 0 1 0 233 postgres.pg_toast.pg_toast_6000 1 0 27 0 0 0 0 1 0 188 template0.pg_catalog.pg_namespace 1 0 7 0 0 0 0 1 0 233 template0.pg_catalog.pg_init_privs 1 0 29 0 0 0 0 1 0 233 translations.pg_catalog.pg_attrdef 1 0 42 0 0 0 0 1 0 233 postgres.pg_toast.pg_toast_13487 1 0 27 0 0 0 0 1 0 188 template0.pg_catalog.pg_description 1 0 28 0 0 0 35 1 0 233 socialmedia.pg_catalog.pg_statistic_ext 1 0 27 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_3456 1 0 27 0 0 0 0 1 0 188 template0.pg_catalog.pg_authid 1 0 22 0 1 0 0 1 1 4,869 template1.pg_toast.pg_toast_13502 1 0 26 0 0 0 0 1 0 188 template1.pg_catalog.pg_foreign_data_wrapper 1 0 11 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_policy 1 0 51 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_3381 1 0 34 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_1213 1 0 34 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_3592 1 0 28 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_826 1 0 33 0 0 0 0 1 0 188 translations.pg_toast.pg_toast_2600 1 0 28 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_3429 1 0 27 0 0 0 0 1 0 188 postgres.pg_catalog.pg_constraint 1 0 63 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_2328 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_shdepend 1 0 111 0 0 0 0 1 0 233 translations.pg_catalog.pg_description 1 0 28 0 0 0 35 1 0 233 template1.pg_catalog.pg_largeobject_metadata 1 0 24 0 0 0 0 1 0 233 postgres.pg_toast.pg_toast_3600 1 0 27 0 0 0 0 1 0 188 template1.pg_catalog.pg_publication 1 0 11 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_range 1 0 6 0 0 0 0 1 0 233 template0.pg_catalog.pg_largeobject 1 0 27 0 0 0 0 1 0 221 template0.pg_toast.pg_toast_3596 1 0 27 0 0 0 0 1 0 188 template0.pg_catalog.pg_ts_parser 1 0 5 0 0 0 0 1 0 233 template1.pg_toast.pg_toast_1260 1 0 28 0 1 0 0 1 1 8,177 template1.pg_catalog.pg_user_mapping 1 0 11 0 0 0 0 1 0 221 template1.information_schema.sql_implementation_info 1 0 9 0 1 0 0 1 1 7,921 template0.pg_catalog.pg_cast 1 0 17 0 0 0 0 1 0 233 acaweb_fx.pg_catalog.pg_statistic 1 1 989 0 194 0 594 451 167 606,636 template0.pg_catalog.pg_database 1 0 12 0 1 0 0 1 1 8,057 template1.pg_toast.pg_toast_1262 1 0 28 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_statistic_ext_data 1 0 7 0 1 0 0 1 1 7,333 translations.pg_catalog.pg_ts_config_map 1 0 7 0 0 0 0 1 0 233 postgres.pg_catalog.pg_depend 1 0 45 0 0 0 59 1 0 233 template0.pg_catalog.pg_shseclabel 1 0 8 0 0 0 0 1 0 233 postgres.pg_catalog.pg_amproc 1 0 24 0 0 0 0 1 0 233 template0.pg_catalog.pg_amproc 1 0 24 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_user_mapping 1 0 12 0 0 0 0 1 0 221 acaweb_fx_integer.pg_catalog.pg_ts_config_map 1 0 8 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_2612 1 0 27 0 0 0 0 1 0 188 template1.pg_catalog.pg_ts_template 1 0 5 0 0 0 0 1 0 233 template1.pg_catalog.pg_conversion 1 0 21 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_ts_config_map 1 0 7 0 0 0 0 1 0 233 template0.pg_catalog.pg_statistic_ext_data 1 0 7 0 0 0 0 1 0 221 socialmedia.pg_toast.pg_toast_1262 1 0 28 0 0 0 0 1 0 188 postgres.pg_catalog.pg_rewrite 1 0 27 0 0 0 0 1 0 233 template1.pg_catalog.pg_am 1 0 28 0 0 0 0 1 0 233 template1.pg_catalog.pg_opclass 1 0 8 0 0 0 0 1 0 233 socialmedia.pg_toast.pg_toast_3394 1 0 27 0 0 0 0 1 0 188 template0.information_schema.sql_implementation_info 1 0 15 0 1 0 0 1 1 7,921 translations.pg_toast.pg_toast_13497 1 0 43 0 0 0 0 1 0 188 translations.pg_catalog.pg_shseclabel 1 0 8 0 0 0 0 1 0 233 template1.pg_toast.pg_toast_2615 1 0 27 0 0 0 0 1 0 188 template0.pg_toast.pg_toast_3592 1 0 28 0 0 0 0 1 0 188 postgres.information_schema.sql_features 1 0 16 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_2396 1 0 34 0 0 0 0 1 0 188 translations.pg_toast.pg_toast_2606 1 0 27 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_6000 1 0 28 0 0 0 0 1 0 188 template1.pg_catalog.pg_type 1 0 14 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_extension 1 0 33 0 0 0 0 1 0 233 template0.pg_catalog.pg_tablespace 1 0 28 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_range 1 0 6 0 0 0 0 1 0 233 socialmedia.pg_toast.pg_toast_2606 1 0 27 0 0 0 0 1 0 188 postgres.pg_toast.pg_toast_2615 1 0 27 0 0 0 0 1 0 188 postgres.pg_toast.pg_toast_13497 1 0 27 0 0 0 0 1 0 188 postgres.pg_toast.pg_toast_2620 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_foreign_table 1 0 26 0 1 0 0 1 1 7,321 acaweb_fx_integer.pg_catalog.pg_publication 1 0 12 0 0 0 0 1 0 233 template1.pg_catalog.pg_enum 1 0 46 0 1 0 0 1 1 8,057 postgres.pg_toast.pg_toast_3592 1 0 27 0 0 0 0 1 0 188 template1.pg_toast.pg_toast_6000 1 0 28 0 0 0 0 1 0 188 translations.pg_catalog.pg_foreign_data_wrapper 1 0 11 0 0 0 0 1 0 233 translations.pg_catalog.pg_statistic 1 1 42 0 9 0 0 9 6 34,141 socialmedia.pg_catalog.pg_ts_template 1 0 5 0 0 0 0 1 0 233 template0.pg_catalog.pg_index 1 0 14 0 0 0 0 1 0 233 template1.pg_toast.pg_toast_3466 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_attrdef 1 0 56 0 0 0 0 1 0 233 translations.pg_catalog.pg_operator 1 0 24 0 0 0 0 1 0 233 template0.pg_catalog.pg_default_acl 1 0 22 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_index 1 1 27 0 10 0 0 13 5 29,558 translations.pg_catalog.pg_sequence 1 0 7 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_collation 1 0 36 0 0 0 0 1 0 233 template1.pg_catalog.pg_rewrite 1 0 27 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_3256 1 0 28 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_13487 1 0 33 0 0 0 0 1 0 188 template0.pg_catalog.pg_partitioned_table 1 0 7 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_2615 1 0 27 0 0 0 0 1 0 188 postgres.pg_catalog.pg_statistic 1 0 38 0 1 0 0 1 1 1,625 acaweb_fx_integer.pg_catalog.pg_trigger 1 0 52 0 0 0 0 1 0 233 template1.pg_catalog.pg_shdepend 1 0 120 0 2 0 0 13 6 41,483 postgres.pg_toast.pg_toast_2396 1 0 28 0 0 0 0 1 0 188 postgres.pg_catalog.pg_policy 1 0 42 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_2619 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_2606 1 0 33 0 0 0 0 1 0 188 template0.pg_toast.pg_toast_3350 1 0 27 0 0 0 0 1 0 188 translations.pg_catalog.pg_statistic_ext 1 0 26 0 0 0 0 1 0 233 template0.pg_catalog.pg_depend 1 0 45 0 0 0 56 1 0 233 postgres.pg_toast.pg_toast_2964 1 0 27 0 0 0 0 1 0 188 template0.pg_toast.pg_toast_1247 1 0 27 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_3592 1 0 34 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_2615 1 0 27 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_13487 1 0 27 0 0 0 0 1 0 188 postgres.pg_toast.pg_toast_1262 1 0 27 0 0 0 0 1 0 188 template1.pg_catalog.pg_policy 1 0 42 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_2615 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_1262 1 0 34 0 0 0 0 1 0 188 template0.pg_catalog.pg_ts_config_map 1 0 7 0 0 0 0 1 0 233 acaweb_fx_integer.pg_toast.pg_toast_3118 1 0 34 0 0 0 0 1 0 188 template0.pg_catalog.pg_collation 1 0 35 0 0 0 0 1 0 233 template1.pg_toast.pg_toast_3381 1 0 28 0 0 0 0 1 0 188 acaweb_fx_integer.pg_toast.pg_toast_13497 1 0 52 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_database 1 0 13 0 1 0 0 1 1 8,057 template0.pg_catalog.pg_rewrite 1 0 27 0 0 0 0 1 0 233 template1.pg_catalog.pg_partitioned_table 1 0 7 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_namespace 1 0 17 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_ts_parser 1 0 5 0 0 0 0 1 0 233 template1.pg_catalog.pg_subscription 1 0 12 0 1 0 0 1 1 7,125 template1.pg_toast.pg_toast_3350 1 0 27 0 0 0 0 1 0 188 translations.pg_toast.pg_toast_2612 1 0 27 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_3256 1 0 28 0 0 0 0 1 0 188 translations.pg_catalog.pg_init_privs 1 0 29 0 0 0 0 1 0 233 postgres.pg_catalog.pg_amop 1 0 21 0 0 0 0 1 0 233 template0.pg_catalog.pg_attrdef 1 0 42 0 0 0 0 1 0 233 postgres.pg_catalog.pg_largeobject 1 0 32 0 0 0 0 1 0 221 socialmedia.pg_toast.pg_toast_2620 1 0 27 0 0 0 0 1 0 188 template1.pg_toast.pg_toast_2964 1 0 28 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_conversion 1 0 21 0 0 0 0 1 0 233 postgres.pg_catalog.pg_subscription_rel 1 0 7 0 0 0 0 1 0 233 template1.pg_catalog.pg_class 1 0 48 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_transform 1 0 12 0 0 0 0 1 0 233 template1.pg_catalog.pg_statistic_ext 1 0 26 0 0 0 0 1 0 233 postgres.pg_toast.pg_toast_13502 1 0 26 0 0 0 0 1 0 188 template0.pg_catalog.pg_foreign_server 1 0 11 0 0 0 0 1 0 233 template1.pg_toast.pg_toast_2604 1 0 27 0 0 0 0 1 0 188 socialmedia.pg_toast.pg_toast_1260 1 0 28 0 0 0 0 1 0 188 postgres.pg_catalog.pg_sequence 1 0 7 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_6100 1 0 28 0 0 0 0 1 0 188 template1.pg_toast.pg_toast_826 1 0 27 0 0 0 0 1 0 188 acaweb_fx.pg_toast.pg_toast_2619 1 1 128 0 27 0 0 99 26 117,798 acaweb_fx_integer.pg_toast.pg_toast_3456 1 0 33 0 0 0 0 1 0 188 template1.pg_catalog.pg_amop 1 0 21 0 0 0 0 1 0 233 template1.pg_catalog.pg_largeobject 1 0 27 0 1 0 0 1 1 7,125 template0.pg_catalog.pg_aggregate 1 0 6 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_auth_members 1 0 13 0 0 0 0 1 0 233 socialmedia.pg_catalog.pg_publication 1 0 11 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_cast 1 0 21 0 0 0 0 1 0 233 postgres.pg_catalog.pg_type 1 0 14 0 0 0 0 1 0 233 postgres.pg_toast.pg_toast_1247 1 0 27 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_cast 1 0 20 0 0 0 0 1 0 233 translations.pg_catalog.pg_subscription_rel 1 0 7 0 0 0 0 1 0 233 acaweb_fx_integer.information_schema.sql_implementation_info 1 0 18 0 1 0 0 1 1 7,957 translations.pg_catalog.pg_policy 1 0 42 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_3381 1 0 28 0 0 0 0 1 0 188 template0.pg_toast.pg_toast_6000 1 0 28 0 0 0 0 1 0 188 translations.pg_toast.pg_toast_1262 1 0 28 0 0 0 0 1 0 188 translations.pg_toast.pg_toast_3381 1 0 28 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_authid 1 0 27 0 1 0 0 1 1 7,333 socialmedia.pg_catalog.pg_subscription 1 0 13 0 1 0 0 1 1 8,037 acaweb_fx_integer.pg_toast.pg_toast_3466 1 0 33 0 0 0 0 1 0 188 acaweb_fx_integer.pg_catalog.pg_constraint 1 0 84 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_1262 1 0 28 0 0 0 0 1 0 188 socialmedia.pg_catalog.pg_aggregate 1 0 6 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_proc 1 0 7 0 3 0 117 3 2 16,154 postgres.pg_catalog.pg_auth_members 1 0 18 0 7 0 0 6 1 9,033 postgres.pg_toast.pg_toast_2612 1 0 27 0 0 0 0 1 0 188 template0.pg_catalog.pg_opfamily 1 0 7 0 0 0 0 1 0 233 translations.information_schema.sql_features 1 0 16 0 0 0 0 1 0 233 translations.pg_catalog.pg_index 1 0 14 0 0 0 0 1 0 233 template0.pg_catalog.pg_sequence 1 0 7 0 0 0 0 1 0 233 translations.pg_catalog.pg_user_mapping 1 0 11 0 0 0 0 1 0 221 translations.pg_catalog.pg_transform 1 0 11 0 0 0 0 1 0 233 translations.pg_catalog.pg_ts_template 1 0 5 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_2604 1 0 27 0 0 0 0 1 0 188 translations.pg_toast.pg_toast_6000 1 0 28 0 0 0 0 1 0 188 template1.information_schema.sql_parts 1 0 10 0 0 0 0 1 0 188 translations.pg_catalog.pg_auth_members 1 0 12 0 0 0 0 1 0 233 template0.pg_catalog.pg_replication_origin 1 0 13 0 0 0 0 1 0 233 acaweb_fx_integer.pg_catalog.pg_subscription_rel 1 0 8 0 0 0 0 1 0 233 template0.pg_toast.pg_toast_13487 1 0 27 0 0 0 0 1 0 188 socialmedia.information_schema.sql_sizing 1 0 10 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_3456 1 0 27 0 0 0 0 1 0 188 template1.pg_catalog.pg_database 1 0 27 0 0 0 0 1 0 233 translations.pg_toast.pg_toast_13487 1 0 27 0 0 0 0 1 0 188 postgres.pg_catalog.pg_partitioned_table 1 0 7 0 0 0 0 1 0 233 template1.pg_toast.pg_toast_3456 1 0 27 0 0 0 0 1 0 188 template1.pg_catalog.pg_shdescription 1 0 31 0 0 0 0 1 0 233 template0.pg_catalog.pg_user_mapping 1 0 11 0 0 0 0 1 0 221 socialmedia.pg_catalog.pg_subscription_rel 1 0 7 0 0 0 0 1 0 233 template1.information_schema.sql_features 1 0 16 0 0 0 0 1 0 233 template0.pg_catalog.pg_foreign_table 1 0 7 0 1 0 0 1 1 5,413 template1.pg_toast.pg_toast_3079 1 0 27 0 0 0 0 1 0 188 translations.pg_catalog.pg_foreign_table 1 0 7 0 1 0 0 1 1 5,413 socialmedia.pg_toast.pg_toast_2600 1 0 28 0 0 0 0 1 0 188 postgres.pg_catalog.pg_shseclabel 1 0 7 0 0 0 0 1 0 233 Total 653 46 41,944 4,897 1,323 0 549,241 15,086 2,084 11,076,748 Tuples removed per table
Key values
- archive.patternresultsrelevance (51863) Main table with removed tuples on database acaweb_fx
- 75026 tuples Total removed
Index Tuples Pages Table Vacuums scans removed remain not yet removable removed remain acaweb_fx.archive.patternresultsrelevance 1 1 51,863 0 0 1,282 0 acaweb_fx.public.solr_relevance_old 21 20 15,920 128,760 11,767 0 3,605 acaweb_fx.pg_catalog.pg_attribute 3 3 4,863 32,280 28 19 782 acaweb_fx.pg_catalog.pg_type 2 2 778 2,910 0 2 86 acaweb_fx.pg_catalog.pg_statistic 1 1 658 3,869 0 0 1,194 acaweb_fx.pg_catalog.pg_class 2 2 190 3,312 0 0 300 acaweb_fx.public.datafeeds_latestrun 3 0 167 43 1 0 48 socialmedia.pg_catalog.pg_depend 1 1 145 8,021 0 0 63 socialmedia.pg_catalog.pg_attribute 1 1 131 3,337 0 0 68 acaweb_fx.pg_toast.pg_toast_2619 1 1 70 172 9 0 48 acaweb_fx.public.solr_imports 1 1 52 1 0 0 2 acaweb_fx.public.latest_t15_candle_view 1 1 50 20 8 0 1 socialmedia.pg_catalog.pg_type 1 1 27 496 0 0 12 socialmedia.pg_toast.pg_toast_2618 1 1 25 265 0 0 66 socialmedia.pg_catalog.pg_rewrite 1 1 23 139 0 1 17 socialmedia.pg_catalog.pg_sequence 1 1 20 16 0 0 1 translations.pg_catalog.pg_statistic 1 1 13 402 0 0 19 socialmedia.pg_catalog.pg_class 1 1 11 491 0 0 13 socialmedia.pg_catalog.pg_index 1 1 9 202 0 0 5 socialmedia.pg_catalog.pg_constraint 1 1 4 47 0 0 2 postgres.pg_catalog.pg_shdepend 1 1 3 1,362 0 0 23 socialmedia.pg_catalog.pg_description 1 1 2 3,842 0 0 36 postgres.pg_catalog.pg_database 1 0 1 7 0 0 1 postgres.pg_catalog.pg_authid 1 0 1 19 0 0 1 postgres.pg_catalog.pg_description 1 0 0 3,809 0 0 36 template1.pg_catalog.pg_init_privs 1 0 0 176 0 0 2 template0.pg_catalog.pg_conversion 1 0 0 128 0 0 2 translations.pg_catalog.pg_cast 1 0 0 224 0 0 2 postgres.pg_toast.pg_toast_3429 1 0 0 0 0 0 0 postgres.pg_catalog.pg_ts_config_map 1 0 0 437 0 0 3 template1.pg_catalog.pg_auth_members 1 0 0 4 0 0 1 template1.pg_toast.pg_toast_13487 1 0 0 0 0 0 0 template1.pg_catalog.pg_proc 1 0 0 2,923 0 0 81 socialmedia.pg_catalog.pg_largeobject 1 0 0 0 0 0 0 template0.information_schema.sql_parts 1 0 0 10 0 0 1 translations.pg_toast.pg_toast_1213 1 0 0 0 0 0 0 postgres.pg_toast.pg_toast_1260 1 0 0 0 0 0 0 translations.pg_catalog.pg_collation 1 0 0 982 0 0 31 postgres.pg_catalog.pg_ts_dict 1 0 0 23 0 0 1 socialmedia.pg_toast.pg_toast_1255 1 0 0 0 0 0 0 template1.pg_toast.pg_toast_3592 1 0 0 0 0 0 0 postgres.pg_toast.pg_toast_13492 1 0 0 0 0 0 0 template1.pg_catalog.pg_statistic_ext_data 1 0 0 0 0 0 0 postgres.pg_catalog.pg_extension 1 0 0 7 0 0 1 acaweb_fx_integer.pg_catalog.pg_seclabel 1 0 0 0 0 0 0 template1.pg_catalog.pg_range 1 0 0 6 0 0 1 template0.pg_catalog.pg_subscription_rel 1 0 0 0 0 0 0 template1.pg_catalog.pg_publication_rel 1 0 0 0 0 0 0 translations.pg_toast.pg_toast_13492 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_operator 1 0 0 794 0 0 14 translations.pg_toast.pg_toast_2964 1 0 0 0 0 0 0 template0.pg_catalog.pg_policy 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_2620 1 0 0 0 0 0 0 template0.pg_catalog.pg_trigger 1 0 0 0 0 0 0 translations.pg_catalog.pg_publication_rel 1 0 0 0 0 0 0 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acaweb_fx_integer.pg_catalog.pg_partitioned_table 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_3600 1 0 0 0 0 0 0 acaweb_fx_integer.public.authenticationlog 1 0 0 29,607,969 0 0 544,147 template1.pg_catalog.pg_event_trigger 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_2618 1 0 0 261 0 0 60 template1.pg_catalog.pg_aggregate 1 0 0 138 0 0 2 acaweb_fx_integer.information_schema.sql_parts 1 0 0 10 0 0 1 socialmedia.pg_toast.pg_toast_2964 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_1213 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_2396 1 0 0 0 0 0 0 acaweb_fx_integer.public.acresearch_corrsig_sent 1 0 0 89,937 0 0 2,484 template0.pg_catalog.pg_ts_dict 1 0 0 23 0 0 1 acaweb_fx_integer.pg_catalog.pg_largeobject_metadata 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_3079 1 0 0 0 0 0 0 socialmedia.pg_catalog.pg_trigger 1 1 0 58 0 0 2 postgres.pg_toast.pg_toast_3350 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_amop 1 0 0 740 0 0 6 postgres.pg_catalog.pg_class 1 0 0 391 0 0 13 template0.pg_catalog.pg_type 1 0 0 411 0 0 10 template1.pg_toast.pg_toast_3596 1 0 0 0 0 0 0 template1.pg_catalog.pg_foreign_server 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_3466 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_subscription 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_3350 1 0 0 0 0 0 0 translations.pg_catalog.pg_namespace 1 0 0 4 0 0 1 translations.pg_toast.pg_toast_1255 1 0 0 0 0 0 0 template1.pg_catalog.pg_extension 1 0 0 1 0 0 1 socialmedia.pg_catalog.pg_partitioned_table 1 0 0 0 0 0 0 acaweb_fx_integer.information_schema.sql_sizing 1 0 0 23 0 0 1 postgres.pg_catalog.pg_trigger 1 0 0 0 0 0 0 template1.pg_catalog.pg_index 1 0 0 154 0 0 4 template0.pg_toast.pg_toast_2396 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_sequence 1 0 0 86 0 0 1 postgres.pg_toast.pg_toast_1213 1 0 0 0 0 0 0 postgres.pg_toast.pg_toast_3394 1 0 0 0 0 0 0 translations.pg_catalog.pg_default_acl 1 0 0 0 0 0 0 template0.pg_catalog.pg_am 1 0 0 7 0 0 1 postgres.pg_catalog.pg_replication_origin 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_2604 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_event_trigger 1 0 0 0 0 0 0 postgres.pg_catalog.pg_attribute 1 0 0 2,732 0 0 54 acaweb_fx_integer.pg_catalog.pg_authid 1 0 0 19 0 0 1 template1.pg_catalog.pg_tablespace 1 0 0 2 0 0 1 template0.pg_catalog.pg_publication_rel 1 0 0 0 0 0 0 translations.pg_catalog.pg_proc 1 0 0 2,896 0 0 81 translations.pg_toast.pg_toast_3596 1 0 0 0 0 0 0 translations.pg_catalog.pg_seclabel 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_2609 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_3600 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_foreign_data_wrapper 1 0 0 0 0 0 0 translations.pg_toast.pg_toast_1418 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_enum 1 0 0 11 0 0 1 acaweb_fx_integer.pg_catalog.pg_opfamily 1 0 0 111 0 0 2 translations.pg_toast.pg_toast_2328 1 0 0 0 0 0 0 socialmedia.pg_catalog.pg_language 1 0 0 4 0 0 1 template0.pg_toast.pg_toast_1417 1 0 0 0 0 0 0 template1.pg_catalog.pg_ts_config_map 1 0 0 437 0 0 3 template1.pg_catalog.pg_ts_config 1 0 0 23 0 0 1 template0.pg_toast.pg_toast_3256 1 0 0 0 0 0 0 template0.pg_catalog.pg_proc 1 0 0 2,923 0 0 81 template1.pg_toast.pg_toast_1213 1 0 0 0 0 0 0 translations.pg_catalog.pg_trigger 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_default_acl 1 0 0 0 0 0 0 translations.pg_toast.pg_toast_3592 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_3350 1 0 0 0 0 0 0 socialmedia.pg_catalog.pg_database 1 0 0 7 0 0 1 socialmedia.pg_catalog.pg_event_trigger 1 0 0 0 0 0 0 translations.pg_catalog.pg_partitioned_table 1 0 0 0 0 0 0 translations.pg_catalog.pg_range 1 0 0 6 0 0 1 postgres.pg_toast.pg_toast_6000 1 0 0 0 0 0 0 template0.pg_catalog.pg_namespace 1 0 0 4 0 0 1 template0.pg_catalog.pg_init_privs 1 0 0 176 0 0 2 translations.pg_catalog.pg_attrdef 1 0 0 0 0 0 0 postgres.pg_toast.pg_toast_13487 1 0 0 0 0 0 0 template0.pg_catalog.pg_description 1 0 0 3,840 0 0 36 socialmedia.pg_catalog.pg_statistic_ext 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_3456 1 0 0 0 0 0 0 template0.pg_catalog.pg_authid 1 0 0 19 0 0 1 template1.pg_toast.pg_toast_13502 1 0 0 0 0 0 0 template1.pg_catalog.pg_foreign_data_wrapper 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_policy 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_3381 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_1213 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_3592 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_826 1 0 0 0 0 0 0 translations.pg_toast.pg_toast_2600 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_3429 1 0 0 0 0 0 0 postgres.pg_catalog.pg_constraint 1 0 0 2 0 0 1 acaweb_fx_integer.pg_toast.pg_toast_2328 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_shdepend 1 0 0 1,362 0 0 23 translations.pg_catalog.pg_description 1 0 0 3,780 0 0 36 template1.pg_catalog.pg_largeobject_metadata 1 0 0 0 0 0 0 postgres.pg_toast.pg_toast_3600 1 0 0 0 0 0 0 template1.pg_catalog.pg_publication 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_range 1 0 0 6 0 0 1 template0.pg_catalog.pg_largeobject 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_3596 1 0 0 0 0 0 0 template0.pg_catalog.pg_ts_parser 1 0 0 1 0 0 1 template1.pg_toast.pg_toast_1260 1 0 0 0 0 0 0 template1.pg_catalog.pg_user_mapping 1 0 0 0 0 0 0 template1.information_schema.sql_implementation_info 1 0 0 12 0 0 1 template0.pg_catalog.pg_cast 1 0 0 224 0 0 2 template0.pg_catalog.pg_database 1 0 0 7 0 0 1 template1.pg_toast.pg_toast_1262 1 0 0 0 0 0 0 socialmedia.pg_catalog.pg_statistic_ext_data 1 0 0 0 0 0 0 translations.pg_catalog.pg_ts_config_map 1 0 0 437 0 0 3 postgres.pg_catalog.pg_depend 1 0 0 7,632 0 0 60 template0.pg_catalog.pg_shseclabel 1 0 0 0 0 0 0 postgres.pg_catalog.pg_amproc 1 0 0 497 0 0 4 template0.pg_catalog.pg_amproc 1 0 0 483 0 0 4 acaweb_fx_integer.pg_catalog.pg_user_mapping 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_ts_config_map 1 0 0 437 0 0 3 template0.pg_toast.pg_toast_2612 1 0 0 0 0 0 0 template1.pg_catalog.pg_ts_template 1 0 0 5 0 0 1 template1.pg_catalog.pg_conversion 1 0 0 128 0 0 2 socialmedia.pg_catalog.pg_ts_config_map 1 0 0 437 0 0 3 template0.pg_catalog.pg_statistic_ext_data 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_1262 1 0 0 0 0 0 0 postgres.pg_catalog.pg_rewrite 1 0 0 131 0 0 12 template1.pg_catalog.pg_am 1 0 0 7 0 0 1 template1.pg_catalog.pg_opclass 1 0 0 130 0 0 2 socialmedia.pg_toast.pg_toast_3394 1 0 0 0 0 0 0 template0.information_schema.sql_implementation_info 1 0 0 12 0 0 1 translations.pg_toast.pg_toast_13497 1 0 0 0 0 0 0 translations.pg_catalog.pg_shseclabel 1 0 0 0 0 0 0 template1.pg_toast.pg_toast_2615 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_3592 1 0 0 0 0 0 0 postgres.information_schema.sql_features 1 0 0 712 0 0 8 acaweb_fx_integer.pg_toast.pg_toast_2396 1 0 0 0 0 0 0 translations.pg_toast.pg_toast_2606 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_6000 1 0 0 0 0 0 0 template1.pg_catalog.pg_type 1 0 0 411 0 0 10 socialmedia.pg_catalog.pg_extension 1 0 0 1 0 0 1 template0.pg_catalog.pg_tablespace 1 0 0 2 0 0 1 socialmedia.pg_catalog.pg_range 1 0 0 6 0 0 1 socialmedia.pg_toast.pg_toast_2606 1 0 0 0 0 0 0 postgres.pg_toast.pg_toast_2615 1 0 0 0 0 0 0 postgres.pg_toast.pg_toast_13497 1 0 0 0 0 0 0 postgres.pg_toast.pg_toast_2620 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_foreign_table 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_publication 1 0 0 0 0 0 0 template1.pg_catalog.pg_enum 1 0 0 0 0 0 0 postgres.pg_toast.pg_toast_3592 1 0 0 0 0 0 0 template1.pg_toast.pg_toast_6000 1 0 0 0 0 0 0 translations.pg_catalog.pg_foreign_data_wrapper 1 0 0 0 0 0 0 socialmedia.pg_catalog.pg_ts_template 1 0 0 5 0 0 1 template0.pg_catalog.pg_index 1 0 0 154 0 0 4 template1.pg_toast.pg_toast_3466 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_attrdef 1 0 0 247 0 0 12 translations.pg_catalog.pg_operator 1 0 0 784 0 0 14 template0.pg_catalog.pg_default_acl 1 0 0 0 0 0 0 translations.pg_catalog.pg_sequence 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_collation 1 0 0 982 0 0 31 template1.pg_catalog.pg_rewrite 1 0 0 130 0 0 12 translations.pg_toast.pg_toast_3256 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_13487 1 0 0 0 0 0 0 template0.pg_catalog.pg_partitioned_table 1 0 0 0 0 0 0 translations.pg_toast.pg_toast_2615 1 0 0 0 0 0 0 postgres.pg_catalog.pg_statistic 1 0 0 402 0 0 19 acaweb_fx_integer.pg_catalog.pg_trigger 1 0 0 373 0 0 11 template1.pg_catalog.pg_shdepend 1 0 0 1,362 0 0 23 postgres.pg_toast.pg_toast_2396 1 0 0 0 0 0 0 postgres.pg_catalog.pg_policy 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_2619 1 0 0 12 0 0 3 acaweb_fx_integer.pg_toast.pg_toast_2606 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_3350 1 0 0 0 0 0 0 translations.pg_catalog.pg_statistic_ext 1 0 0 0 0 0 0 template0.pg_catalog.pg_depend 1 0 0 7,629 0 0 57 postgres.pg_toast.pg_toast_2964 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_1247 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_3592 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_2615 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_13487 1 0 0 0 0 0 0 postgres.pg_toast.pg_toast_1262 1 0 0 0 0 0 0 template1.pg_catalog.pg_policy 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_2615 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_1262 1 0 0 0 0 0 0 template0.pg_catalog.pg_ts_config_map 1 0 0 437 0 0 3 acaweb_fx_integer.pg_toast.pg_toast_3118 1 0 0 0 0 0 0 template0.pg_catalog.pg_collation 1 0 0 982 0 0 31 template1.pg_toast.pg_toast_3381 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_13497 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_database 1 0 0 7 0 0 1 template0.pg_catalog.pg_rewrite 1 0 0 130 0 0 12 template1.pg_catalog.pg_partitioned_table 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_namespace 1 0 0 732 0 0 10 socialmedia.pg_catalog.pg_ts_parser 1 0 0 1 0 0 1 template1.pg_catalog.pg_subscription 1 0 0 0 0 0 0 template1.pg_toast.pg_toast_3350 1 0 0 0 0 0 0 translations.pg_toast.pg_toast_2612 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_3256 1 0 0 0 0 0 0 translations.pg_catalog.pg_init_privs 1 0 0 176 0 0 2 postgres.pg_catalog.pg_amop 1 0 0 740 0 0 6 template0.pg_catalog.pg_attrdef 1 0 0 0 0 0 0 postgres.pg_catalog.pg_largeobject 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_2620 1 0 0 0 0 0 0 template1.pg_toast.pg_toast_2964 1 0 0 0 0 0 0 socialmedia.pg_catalog.pg_conversion 1 0 0 128 0 0 2 postgres.pg_catalog.pg_subscription_rel 1 0 0 0 0 0 0 template1.pg_catalog.pg_class 1 0 0 386 0 0 13 acaweb_fx_integer.pg_catalog.pg_transform 1 0 0 0 0 0 0 template1.pg_catalog.pg_statistic_ext 1 0 0 0 0 0 0 postgres.pg_toast.pg_toast_13502 1 0 0 0 0 0 0 template0.pg_catalog.pg_foreign_server 1 0 0 0 0 0 0 template1.pg_toast.pg_toast_2604 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_1260 1 0 0 0 0 0 0 postgres.pg_catalog.pg_sequence 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_6100 1 0 0 0 0 0 0 template1.pg_toast.pg_toast_826 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_3456 1 0 0 0 0 0 0 template1.pg_catalog.pg_amop 1 0 0 723 0 0 6 template1.pg_catalog.pg_largeobject 1 0 0 0 0 0 0 template0.pg_catalog.pg_aggregate 1 0 0 138 0 0 2 acaweb_fx_integer.pg_catalog.pg_auth_members 1 0 0 4 0 0 1 socialmedia.pg_catalog.pg_publication 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_cast 1 0 0 224 0 0 2 postgres.pg_catalog.pg_type 1 0 0 423 0 0 10 postgres.pg_toast.pg_toast_1247 1 0 0 0 0 0 0 socialmedia.pg_catalog.pg_cast 1 0 0 224 0 0 2 translations.pg_catalog.pg_subscription_rel 1 0 0 0 0 0 0 acaweb_fx_integer.information_schema.sql_implementation_info 1 0 0 12 0 0 1 translations.pg_catalog.pg_policy 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_3381 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_6000 1 0 0 0 0 0 0 translations.pg_toast.pg_toast_1262 1 0 0 0 0 0 0 translations.pg_toast.pg_toast_3381 1 0 0 0 0 0 0 socialmedia.pg_catalog.pg_authid 1 0 0 19 0 0 1 socialmedia.pg_catalog.pg_subscription 1 0 0 0 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_3466 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_constraint 1 0 0 314 0 0 11 template0.pg_toast.pg_toast_1262 1 0 0 0 0 0 0 socialmedia.pg_catalog.pg_aggregate 1 0 0 138 0 0 2 acaweb_fx_integer.pg_catalog.pg_proc 1 0 0 2,427 0 0 119 postgres.pg_catalog.pg_auth_members 1 0 0 4 0 0 1 postgres.pg_toast.pg_toast_2612 1 0 0 0 0 0 0 template0.pg_catalog.pg_opfamily 1 0 0 109 0 0 2 translations.information_schema.sql_features 1 0 0 712 0 0 8 translations.pg_catalog.pg_index 1 0 0 154 0 0 4 template0.pg_catalog.pg_sequence 1 0 0 0 0 0 0 translations.pg_catalog.pg_user_mapping 1 0 0 0 0 0 0 translations.pg_catalog.pg_transform 1 0 0 0 0 0 0 translations.pg_catalog.pg_ts_template 1 0 0 5 0 0 1 template0.pg_toast.pg_toast_2604 1 0 0 0 0 0 0 translations.pg_toast.pg_toast_6000 1 0 0 0 0 0 0 template1.information_schema.sql_parts 1 0 0 10 0 0 1 translations.pg_catalog.pg_auth_members 1 0 0 4 0 0 1 template0.pg_catalog.pg_replication_origin 1 0 0 0 0 0 0 acaweb_fx_integer.pg_catalog.pg_subscription_rel 1 0 0 0 0 0 0 template0.pg_toast.pg_toast_13487 1 0 0 0 0 0 0 socialmedia.information_schema.sql_sizing 1 0 0 23 0 0 1 translations.pg_toast.pg_toast_3456 1 0 0 0 0 0 0 template1.pg_catalog.pg_database 1 0 0 7 0 0 1 translations.pg_toast.pg_toast_13487 1 0 0 0 0 0 0 postgres.pg_catalog.pg_partitioned_table 1 0 0 0 0 0 0 template1.pg_toast.pg_toast_3456 1 0 0 0 0 0 0 template1.pg_catalog.pg_shdescription 1 0 0 3 0 0 1 template0.pg_catalog.pg_user_mapping 1 0 0 0 0 0 0 socialmedia.pg_catalog.pg_subscription_rel 1 0 0 0 0 0 0 template1.information_schema.sql_features 1 0 0 712 0 0 8 template0.pg_catalog.pg_foreign_table 1 0 0 0 0 0 0 template1.pg_toast.pg_toast_3079 1 0 0 0 0 0 0 translations.pg_catalog.pg_foreign_table 1 0 0 0 0 0 0 socialmedia.pg_toast.pg_toast_2600 1 0 0 0 0 0 0 postgres.pg_catalog.pg_shseclabel 1 0 0 0 0 0 0 Total 653 46 75,026 30,012,344 11,813 1,304 555,475 Pages removed per table
Key values
- archive.patternresultsrelevance (1282) Main table with removed pages on database acaweb_fx
- 1304 pages Total removed
Table Number of vacuums Index scans Tuples removed Pages removed acaweb_fx.archive.patternresultsrelevance 1 1 51863 1282 acaweb_fx.pg_catalog.pg_attribute 3 3 4863 19 acaweb_fx.pg_catalog.pg_type 2 2 778 2 socialmedia.pg_catalog.pg_rewrite 1 1 23 1 postgres.pg_catalog.pg_shdepend 1 1 3 0 postgres.pg_catalog.pg_description 1 0 0 0 template1.pg_catalog.pg_init_privs 1 0 0 0 template0.pg_catalog.pg_conversion 1 0 0 0 translations.pg_catalog.pg_cast 1 0 0 0 postgres.pg_toast.pg_toast_3429 1 0 0 0 postgres.pg_catalog.pg_ts_config_map 1 0 0 0 template1.pg_catalog.pg_auth_members 1 0 0 0 template1.pg_toast.pg_toast_13487 1 0 0 0 template1.pg_catalog.pg_proc 1 0 0 0 socialmedia.pg_catalog.pg_largeobject 1 0 0 0 template0.information_schema.sql_parts 1 0 0 0 translations.pg_toast.pg_toast_1213 1 0 0 0 postgres.pg_toast.pg_toast_1260 1 0 0 0 translations.pg_catalog.pg_collation 1 0 0 0 postgres.pg_catalog.pg_ts_dict 1 0 0 0 socialmedia.pg_toast.pg_toast_1255 1 0 0 0 template1.pg_toast.pg_toast_3592 1 0 0 0 postgres.pg_toast.pg_toast_13492 1 0 0 0 acaweb_fx.public.solr_relevance_old 21 20 15920 0 template1.pg_catalog.pg_statistic_ext_data 1 0 0 0 postgres.pg_catalog.pg_extension 1 0 0 0 acaweb_fx_integer.pg_catalog.pg_seclabel 1 0 0 0 template1.pg_catalog.pg_range 1 0 0 0 template0.pg_catalog.pg_subscription_rel 1 0 0 0 acaweb_fx.public.latest_t15_candle_view 1 1 50 0 template1.pg_catalog.pg_publication_rel 1 0 0 0 translations.pg_toast.pg_toast_13492 1 0 0 0 acaweb_fx_integer.pg_catalog.pg_operator 1 0 0 0 translations.pg_toast.pg_toast_2964 1 0 0 0 template0.pg_catalog.pg_policy 1 0 0 0 template0.pg_toast.pg_toast_2620 1 0 0 0 template0.pg_catalog.pg_trigger 1 0 0 0 translations.pg_catalog.pg_publication_rel 1 0 0 0 translations.pg_catalog.pg_attribute 1 0 0 0 template1.pg_catalog.pg_default_acl 1 0 0 0 socialmedia.pg_toast.pg_toast_1418 1 0 0 0 translations.pg_toast.pg_toast_13502 1 0 0 0 socialmedia.pg_catalog.pg_foreign_server 1 0 0 0 template0.pg_catalog.pg_extension 1 0 0 0 translations.pg_catalog.pg_replication_origin 1 0 0 0 template0.pg_catalog.pg_attribute 1 0 0 0 template1.pg_toast.pg_toast_3429 1 0 0 0 template0.pg_catalog.pg_db_role_setting 1 0 0 0 template0.pg_toast.pg_toast_3118 1 0 0 0 template0.pg_toast.pg_toast_3466 1 0 0 0 template1.pg_catalog.pg_inherits 1 0 0 0 acaweb_fx_integer.pg_catalog.pg_ts_dict 1 0 0 0 translations.pg_toast.pg_toast_1247 1 0 0 0 template0.pg_catalog.pg_ts_template 1 0 0 0 acaweb_fx_integer.pg_catalog.pg_statistic_ext 1 0 0 0 acaweb_fx_integer.pg_catalog.pg_db_role_setting 1 0 0 0 socialmedia.pg_catalog.pg_shdepend 1 0 0 0 socialmedia.pg_catalog.pg_transform 1 0 0 0 socialmedia.pg_toast.pg_toast_6100 1 0 0 0 postgres.pg_catalog.pg_operator 1 0 0 0 socialmedia.pg_catalog.pg_auth_members 1 0 0 0 template0.pg_toast.pg_toast_1213 1 0 0 0 translations.pg_toast.pg_toast_3429 1 0 0 0 translations.pg_catalog.pg_constraint 1 0 0 0 socialmedia.pg_catalog.pg_sequence 1 1 20 0 socialmedia.pg_toast.pg_toast_2618 1 1 25 0 template1.pg_toast.pg_toast_2619 1 0 0 0 postgres.pg_catalog.pg_default_acl 1 0 0 0 translations.pg_catalog.pg_tablespace 1 0 0 0 postgres.pg_catalog.pg_transform 1 0 0 0 translations.pg_toast.pg_toast_2604 1 0 0 0 postgres.pg_catalog.pg_subscription 1 0 0 0 socialmedia.pg_toast.pg_toast_13502 1 0 0 0 template0.pg_catalog.pg_inherits 1 0 0 0 translations.pg_toast.pg_toast_3466 1 0 0 0 template1.pg_toast.pg_toast_2612 1 0 0 0 postgres.pg_catalog.pg_cast 1 0 0 0 socialmedia.pg_catalog.pg_default_acl 1 0 0 0 socialmedia.pg_catalog.pg_ts_dict 1 0 0 0 translations.pg_toast.pg_toast_3350 1 0 0 0 socialmedia.information_schema.sql_parts 1 0 0 0 template1.pg_toast.pg_toast_1418 1 0 0 0 translations.pg_catalog.pg_ts_dict 1 0 0 0 template1.pg_toast.pg_toast_2600 1 0 0 0 postgres.pg_toast.pg_toast_826 1 0 0 0 postgres.pg_catalog.pg_shdescription 1 0 0 0 template0.information_schema.sql_sizing 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_3079 1 0 0 0 socialmedia.pg_toast.pg_toast_13497 1 0 0 0 translations.pg_toast.pg_toast_3118 1 0 0 0 template1.pg_catalog.pg_opfamily 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_1417 1 0 0 0 socialmedia.pg_catalog.pg_foreign_table 1 0 0 0 template1.pg_toast.pg_toast_2396 1 0 0 0 translations.pg_catalog.pg_language 1 0 0 0 template0.pg_toast.pg_toast_2964 1 0 0 0 translations.pg_catalog.pg_conversion 1 0 0 0 template1.pg_catalog.pg_description 1 0 0 0 translations.pg_toast.pg_toast_1260 1 0 0 0 template0.pg_catalog.pg_largeobject_metadata 1 0 0 0 translations.pg_catalog.pg_largeobject_metadata 1 0 0 0 translations.pg_catalog.pg_inherits 1 0 0 0 template0.pg_catalog.pg_publication 1 0 0 0 template1.pg_catalog.pg_cast 1 0 0 0 socialmedia.pg_toast.pg_toast_1417 1 0 0 0 socialmedia.pg_catalog.pg_user_mapping 1 0 0 0 template0.pg_catalog.pg_class 1 0 0 0 socialmedia.pg_toast.pg_toast_2328 1 0 0 0 translations.pg_catalog.pg_extension 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_2604 1 0 0 0 socialmedia.pg_catalog.pg_am 1 0 0 0 template1.pg_catalog.pg_attribute 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_2964 1 0 0 0 template0.pg_toast.pg_toast_2328 1 0 0 0 template1.pg_catalog.pg_attrdef 1 0 0 0 template1.pg_catalog.pg_language 1 0 0 0 translations.pg_catalog.pg_shdepend 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_13492 1 0 0 0 template1.pg_catalog.pg_operator 1 0 0 0 socialmedia.pg_catalog.pg_description 1 1 2 0 translations.pg_toast.pg_toast_2396 1 0 0 0 translations.pg_catalog.pg_class 1 0 0 0 postgres.information_schema.sql_implementation_info 1 0 0 0 socialmedia.pg_catalog.pg_type 1 1 27 0 translations.pg_catalog.pg_enum 1 0 0 0 translations.pg_catalog.pg_aggregate 1 0 0 0 postgres.pg_catalog.pg_inherits 1 0 0 0 acaweb_fx_integer.pg_catalog.pg_ts_config 1 0 0 0 socialmedia.pg_toast.pg_toast_3596 1 0 0 0 acaweb_fx.pg_catalog.pg_class 2 2 190 0 acaweb_fx_integer.pg_catalog.pg_rewrite 1 0 0 0 template1.pg_catalog.pg_collation 1 0 0 0 translations.pg_catalog.pg_db_role_setting 1 0 0 0 template1.pg_toast.pg_toast_3394 1 0 0 0 template1.pg_catalog.pg_ts_dict 1 0 0 0 template0.pg_toast.pg_toast_2615 1 0 0 0 template1.pg_toast.pg_toast_2609 1 0 0 0 translations.pg_catalog.pg_subscription 1 0 0 0 acaweb_fx_integer.pg_catalog.pg_replication_origin 1 0 0 0 template1.information_schema.sql_sizing 1 0 0 0 template0.pg_toast.pg_toast_2606 1 0 0 0 postgres.pg_catalog.pg_foreign_table 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_13502 1 0 0 0 translations.information_schema.sql_implementation_info 1 0 0 0 postgres.pg_toast.pg_toast_1418 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_6100 1 0 0 0 translations.pg_toast.pg_toast_3600 1 0 0 0 socialmedia.pg_toast.pg_toast_826 1 0 0 0 template1.pg_catalog.pg_foreign_table 1 0 0 0 template1.pg_toast.pg_toast_1247 1 0 0 0 postgres.pg_catalog.pg_publication 1 0 0 0 translations.pg_toast.pg_toast_3394 1 0 0 0 template0.pg_toast.pg_toast_1260 1 0 0 0 socialmedia.pg_catalog.pg_publication_rel 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acaweb_fx_integer.pg_catalog.pg_auth_members 1 0 0 0 socialmedia.pg_catalog.pg_publication 1 0 0 0 acaweb_fx_integer.pg_catalog.pg_cast 1 0 0 0 postgres.pg_catalog.pg_type 1 0 0 0 postgres.pg_toast.pg_toast_1247 1 0 0 0 socialmedia.pg_catalog.pg_cast 1 0 0 0 translations.pg_catalog.pg_subscription_rel 1 0 0 0 acaweb_fx_integer.information_schema.sql_implementation_info 1 0 0 0 translations.pg_catalog.pg_policy 1 0 0 0 template0.pg_toast.pg_toast_3381 1 0 0 0 template0.pg_toast.pg_toast_6000 1 0 0 0 translations.pg_toast.pg_toast_1262 1 0 0 0 translations.pg_toast.pg_toast_3381 1 0 0 0 socialmedia.pg_catalog.pg_authid 1 0 0 0 socialmedia.pg_catalog.pg_subscription 1 0 0 0 acaweb_fx_integer.pg_toast.pg_toast_3466 1 0 0 0 acaweb_fx_integer.pg_catalog.pg_constraint 1 0 0 0 template0.pg_toast.pg_toast_1262 1 0 0 0 socialmedia.pg_catalog.pg_aggregate 1 0 0 0 acaweb_fx_integer.pg_catalog.pg_proc 1 0 0 0 postgres.pg_catalog.pg_auth_members 1 0 0 0 postgres.pg_toast.pg_toast_2612 1 0 0 0 template0.pg_catalog.pg_opfamily 1 0 0 0 translations.information_schema.sql_features 1 0 0 0 translations.pg_catalog.pg_index 1 0 0 0 template0.pg_catalog.pg_sequence 1 0 0 0 translations.pg_catalog.pg_user_mapping 1 0 0 0 translations.pg_catalog.pg_transform 1 0 0 0 translations.pg_catalog.pg_ts_template 1 0 0 0 template0.pg_toast.pg_toast_2604 1 0 0 0 translations.pg_toast.pg_toast_6000 1 0 0 0 template1.information_schema.sql_parts 1 0 0 0 translations.pg_catalog.pg_auth_members 1 0 0 0 template0.pg_catalog.pg_replication_origin 1 0 0 0 acaweb_fx_integer.pg_catalog.pg_subscription_rel 1 0 0 0 template0.pg_toast.pg_toast_13487 1 0 0 0 socialmedia.information_schema.sql_sizing 1 0 0 0 translations.pg_toast.pg_toast_3456 1 0 0 0 template1.pg_catalog.pg_database 1 0 0 0 translations.pg_toast.pg_toast_13487 1 0 0 0 postgres.pg_catalog.pg_partitioned_table 1 0 0 0 template1.pg_toast.pg_toast_3456 1 0 0 0 template1.pg_catalog.pg_shdescription 1 0 0 0 template0.pg_catalog.pg_user_mapping 1 0 0 0 socialmedia.pg_catalog.pg_subscription_rel 1 0 0 0 template1.information_schema.sql_features 1 0 0 0 template0.pg_catalog.pg_foreign_table 1 0 0 0 template1.pg_toast.pg_toast_3079 1 0 0 0 translations.pg_catalog.pg_foreign_table 1 0 0 0 socialmedia.pg_toast.pg_toast_2600 1 0 0 0 postgres.pg_catalog.pg_shseclabel 1 0 0 0 Total 653 46 75,026 1,304 Autovacuum Activity
↑ Back to the top of the Autovacuum Activity tableDay Hour VACUUMs ANALYZEs Mar 22 15 653 47 - 0 sec Highest CPU-cost vacuum
-
Locks
Locks by types
Key values
- unknown Main Lock Type
- 0 locks Total
Most frequent waiting queries (N)
Rank Count Total time Min time Max time Avg duration Query NO DATASET
Queries that waited the most
Rank Wait time Query NO DATASET
-
Queries
Queries by type
Key values
- 21,753 Total read queries
- 15,031 Total write queries
Queries by database
Key values
- unknown Main database
- 77,440 Requests
- 1h12m21s (unknown)
- Main time consuming database
Database Request type Count Duration acaweb_fx Total 883 0ms copy from 80 0ms copy to 26 0ms cte 100 0ms ddl 16 0ms delete 16 0ms others 212 0ms select 65 0ms tcl 332 0ms update 36 0ms socialmedia Total 65 0ms select 65 0ms unknown Total 77,440 1h12m21s copy from 16 0ms cte 1,902 0ms insert 11,687 0ms others 2,317 0ms select 21,623 0ms tcl 332 0ms update 488 0ms Queries by user
Key values
- unknown Main user
- 77,440 Requests
User Request type Count Duration postgres Total 948 0ms copy from 80 0ms copy to 26 0ms cte 100 0ms ddl 16 0ms delete 16 0ms others 212 0ms select 130 0ms tcl 332 0ms update 36 0ms unknown Total 77,440 1h12m21s copy from 16 0ms cte 1,902 0ms insert 11,687 0ms others 2,317 0ms select 21,623 0ms tcl 332 0ms update 488 0ms Duration by user
Key values
- 1h12m21s (unknown) Main time consuming user
User Request type Count Duration postgres Total 948 0ms copy from 80 0ms copy to 26 0ms cte 100 0ms ddl 16 0ms delete 16 0ms others 212 0ms select 130 0ms tcl 332 0ms update 36 0ms unknown Total 77,440 1h12m21s copy from 16 0ms cte 1,902 0ms insert 11,687 0ms others 2,317 0ms select 21,623 0ms tcl 332 0ms update 488 0ms Queries by host
Key values
- unknown Main host
- 78,388 Requests
- 1h12m21s (unknown)
- Main time consuming host
Queries by application
Key values
- unknown Main application
- 78,045 Requests
- 1h12m21s (unknown)
- Main time consuming application
Number of cancelled queries
Key values
- 1 per second Cancelled query Peak
- 2026-03-22 15:39:58 Date
Number of cancelled queries (5 minutes period)
NO DATASET
-
Top Queries
Histogram of query times
Key values
- 26,646 0-1ms duration
Slowest individual queries
Rank Duration Query NO DATASET
Time consuming queries
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 0ms 12 0ms 0ms 0ms select key, value from datasources ds inner join datasourceparams dsp on ds.id = dsp.datasourceid where ds.name = ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 22 15 12 0ms 0ms 2 0ms 128 0ms 0ms 0ms with rar_max as ( select resultuid from relevance_consecutivecandles_results order by resultuid desc limit ? ), all_results as ( select ccr.resultuid as resultuid, ccr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ccr.patternendtime as identified, dtt.timezone as timezone, ccr.qtyconsecutivecandles as length, g.basegroupname, case when rcr.age is not null then rcr.age when ccr.resultuid <= rm.resultuid then ? else ? end as age, case when rcr.relevant is not null then rcr.relevant when ccr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip, newlevels.filtered from consecutivecandles_results ccr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = ccr.symbolid inner join symbols s on ccr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on ccr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on ccr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join rar_max rm on ? = ? left outer join relevance_consecutivecandles_results rcr on rcr.resultuid = ccr.resultuid left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? left join lateral calc_cc_signal_filter (ccr.resultuid) newlevels on true where ccr.gmttimefound > now() - interval ? and s.deleted = ? and (ccr.simulation = ? or ccr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ccr.patternlengthbars <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Mar 22 15 128 0ms 0ms 3 0ms 1 0ms 0ms 0ms select trumpetsymbolid as sid, trumpettimegranularity as tg from brokersymbollist bsl left join powerstats_symboldata psd on bsl.symbolid = psd.symbolid left join downloadersymbolsettings dss on psd.symbolid = dss.symbolid left join symbols s on dss.symbolid = s.symbolid left outer join brokerinstrumentmap bdfi on code = ? and bdfi.brokerid = ? and dss.datafeedinstrumentid = bdfi.datafeedinstrumentid where (code = ? or s.symbol = ?) and bsl.brokerid = ? and dss.classname <> ? group by trumpetsymbolid, trumpettimegranularity;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Mar 22 15 1 0ms 0ms 4 0ms 2,426 0ms 0ms 0ms insert into t60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Mar 22 15 2,426 0ms 0ms 5 0ms 5 0ms 0ms 0ms select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as resultuid, s.symbol, timegranularity as interval, direction as direction, patternendtime as patternendtime, patternstartprice as psp, patternendprice as pep, target03 as t03, target16 as t16, patternlengthbars as length, p.patternname as patternname, dtt.timezone, cps.pip from fibonacci_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join fibonaccipatterns p on a.pattern = p.patternname left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Mar 22 15 5 0ms 0ms 6 0ms 237 0ms 0ms 0ms select * from ( select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity) as k order by timegranularity;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms 7 0ms 95 0ms 0ms 0ms update patternresultsrelevance set relevant = ?, saxo_relevant = ?, notrelevantpricedatetime = ?, reason = ? where uniqueindex = ? and relevant = ?;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Mar 22 15 95 0ms 0ms 8 0ms 4 0ms 0ms 0ms insert into resultmedia (processresultsid, type, name, filename) values (?, ?, ?, ?) returning id;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Mar 22 15 4 0ms 0ms 9 0ms 18 0ms 0ms 0ms select cast(count(*) / cast(setting as numeric) * ? as int) from pg_stat_activity, pg_settings where name = ? group by setting;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 22 15 18 0ms 0ms 10 0ms 237 0ms 0ms 0ms select v.datname, c.relname, v.phase, v.heap_blks_total, v.heap_blks_scanned, v.heap_blks_vacuumed, v.index_vacuum_count, v.max_dead_tuples, v.num_dead_tuples from pg_stat_progress_vacuum as v join pg_class c on c.oid = v.relid;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms 11 0ms 13 0ms 0ms 0ms select * from ( select pricedatetime, open, high, low, close, volume, bsf from t60 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 22 15 13 0ms 0ms 12 0ms 332 0ms 0ms 0ms commit;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Mar 22 15 332 0ms 0ms 13 0ms 4 0ms 0ms 0ms select psd.symbolid, psd.hourlysymbolid as intervalsymbolid, s.symbol, dtt.timezone, dtt.absolutetimezoneoffset, psh.hour as index, psh.ave, psh.stddev, ((psh.ave - psh.stddev) / ?.?) as low, ((psh.ave + psh.stddev) / ?.?) as high, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend from powerstats_symboldata psd inner join powerstats_hourly psh on psd.hourlysymbolid = psh.symbolid inner join symbols s on psh.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join mat_ps_hourly_symbolid_max_enddate e on psh.enddate = e.enddate and psh.symbolid = e.symbolid inner join exchanges ee on ee.exchange = s.exchange where psd.symbolid = ? and dtt.dayofweek = ? order by hour asc;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 22 15 4 0ms 0ms 14 0ms 176 0ms 0ms 0ms with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end ), all_results as ( select kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join autochartist_symbolupdates au on dss.symbolid = au.symbolid left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where kr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) and kr.patternstarttime::timestamp without time zone >= coalesce(au.earliestpricedatetime, ?::timestamp without time zone) -- to make sure patternstarttime is in our t-tables ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc limit ?;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 22 15 176 0ms 0ms 15 0ms 237 0ms 0ms 0ms select count(*), sum(size), extract(epoch from now() - min(modification)) from pg_ls_waldir ();Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms 16 0ms 6 0ms 0ms 0ms select * from ( select pricedatetime, open, high, low, close, volume, bsf from t30 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Mar 22 15 6 0ms 0ms 17 0ms 6 0ms 0ms 0ms select pid, datname, client_addr from pg_stat_activity where query ilike ? and pid <> pg_backend_pid() and state = ? and datname = ?;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 22 15 6 0ms 0ms 18 0ms 2 0ms 0ms 0ms update executions set isrunning = false, has_results = false, response = ? where id = ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 22 15 2 0ms 0ms 19 0ms 237 0ms 0ms 0ms select system_identifier from pg_control_system ();Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms 20 0ms 237 0ms 0ms 0ms select datname, confl_tablespace, confl_lock, confl_snapshot, confl_bufferpin, confl_deadlock from pg_stat_database_conflicts where datname not ilike ? and datname not ilike ? and datname not ilike ? and datname not ilike ?;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms Most frequent queries (N)
Rank Times executed Total duration Min duration Max duration Avg duration Query 1 4,563 0ms 0ms 0ms 0ms select ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 22 15 4,563 0ms 0ms 2 2,887 0ms 0ms 0ms 0ms insert into t15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Mar 22 15 2,887 0ms 0ms 3 2,484 0ms 0ms 0ms 0ms select distinct on (coalesce(bim.code, s.symbol) , s.exchange, s.timegranularity, df.timezone) s.symbolid as id, coalesce(bim.code, s.symbol) as name, s.symbol as symbol, dss.downloadersymbol as ticker, s.exchange as exchange, s.timegranularity as interval, df.timezone as timezone from symbols s inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable df on df.classname ilike dss.classname left join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = s.symbolid left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = ? and bim.type = ? where s.symbolid = ?;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Mar 22 15 2,484 0ms 0ms 4 2,459 0ms 0ms 0ms 0ms insert into t30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Mar 22 15 2,459 0ms 0ms 5 2,431 0ms 0ms 0ms 0ms insert into executionlogs (executionid, status, message, details, detailtype) values (null, ?, ?, null, null);Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Mar 22 15 2,431 0ms 0ms 6 2,426 0ms 0ms 0ms 0ms insert into t60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Mar 22 15 2,426 0ms 0ms 7 2,271 0ms 0ms 0ms 0ms select s.symbolid as id, s.symbol as name, s.exchange as exchange, s.timegranularity as interval, dtt.timezone as timezone from symbols s inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where bsl.brokerid = ? and (? = ? or s.timegranularity = ?) and (s.symbol = ? or dss.downloadersymbol = ?) and dss.enabled = ?;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Mar 22 15 2,271 0ms 0ms 8 968 0ms 0ms 0ms 0ms select datetimeupdate from latest_candle_datetime_per_receng where recognitionengine ilike ?;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Mar 22 15 968 0ms 0ms 9 938 0ms 0ms 0ms 0ms set extra_float_digits = ?;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 22 15 938 0ms 0ms 10 926 0ms 0ms 0ms 0ms set application_name = ?;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Mar 22 15 926 0ms 0ms 11 623 0ms 0ms 0ms 0ms select symbolid, pricedatetime, classname, downloadfrequency, downloadersymbol, open, high, low, close, volume, bsf, sastdatetimereceived from ( select pricedatetime, dss.classname, dss.downloadfrequency, dss.symbolid, dss.downloadersymbol, t.open, t.high, t.low, t.close, t.volume, t.bsf, t.sastdatetimereceived, row_number() over (partition by t.symbolid order by t.pricedatetime desc) as rn from t15 t, downloadersymbolsettings dss, symbols s where dss.classname = ? and dss.downloadfrequency = ? and dss.symbolid = t.symbolid and s.symbolid = dss.symbolid and dss.enabled = ? and s.deleted = ? and dss.downloadersymbol in (...) and t.pricedatetime > now() - interval ?) as ranked_candles_table where rn = ?;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 22 15 623 0ms 0ms 12 350 0ms 0ms 0ms 0ms insert into t240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Mar 22 15 350 0ms 0ms 13 332 0ms 0ms 0ms 0ms commit;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 22 15 332 0ms 0ms 14 332 0ms 0ms 0ms 0ms update datafeeds_latestrun set latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime from ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike ?) as subquery where datafeeds_latestrun.feedname ilike ?;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 22 15 332 0ms 0ms 15 332 0ms 0ms 0ms 0ms begin;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 22 15 332 0ms 0ms 16 288 0ms 0ms 0ms 0ms insert into t1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Mar 22 15 288 0ms 0ms 17 278 0ms 0ms 0ms 0ms insert into authenticationlog (username, password, brokerid, authclass, attemptdatetime, success, fingerprint, accounttype) values (?, ?, ?, ?, current_timestamp, ?, ?, ?);Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 22 15 278 0ms 0ms 18 237 0ms 0ms 0ms 0ms select * from ( select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity) as k order by timegranularity;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms 19 237 0ms 0ms 0ms 0ms select v.datname, c.relname, v.phase, v.heap_blks_total, v.heap_blks_scanned, v.heap_blks_vacuumed, v.index_vacuum_count, v.max_dead_tuples, v.num_dead_tuples from pg_stat_progress_vacuum as v join pg_class c on c.oid = v.relid;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms 20 237 0ms 0ms 0ms 0ms select count(*), sum(size), extract(epoch from now() - min(modification)) from pg_ls_waldir ();Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 0ms 0ms 0ms 12 0ms select key, value from datasources ds inner join datasourceparams dsp on ds.id = dsp.datasourceid where ds.name = ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 22 15 12 0ms 0ms 2 0ms 0ms 0ms 128 0ms with rar_max as ( select resultuid from relevance_consecutivecandles_results order by resultuid desc limit ? ), all_results as ( select ccr.resultuid as resultuid, ccr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ccr.patternendtime as identified, dtt.timezone as timezone, ccr.qtyconsecutivecandles as length, g.basegroupname, case when rcr.age is not null then rcr.age when ccr.resultuid <= rm.resultuid then ? else ? end as age, case when rcr.relevant is not null then rcr.relevant when ccr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip, newlevels.filtered from consecutivecandles_results ccr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = ccr.symbolid inner join symbols s on ccr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on ccr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on ccr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join rar_max rm on ? = ? left outer join relevance_consecutivecandles_results rcr on rcr.resultuid = ccr.resultuid left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? left join lateral calc_cc_signal_filter (ccr.resultuid) newlevels on true where ccr.gmttimefound > now() - interval ? and s.deleted = ? and (ccr.simulation = ? or ccr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or ccr.patternlengthbars <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Mar 22 15 128 0ms 0ms 3 0ms 0ms 0ms 1 0ms select trumpetsymbolid as sid, trumpettimegranularity as tg from brokersymbollist bsl left join powerstats_symboldata psd on bsl.symbolid = psd.symbolid left join downloadersymbolsettings dss on psd.symbolid = dss.symbolid left join symbols s on dss.symbolid = s.symbolid left outer join brokerinstrumentmap bdfi on code = ? and bdfi.brokerid = ? and dss.datafeedinstrumentid = bdfi.datafeedinstrumentid where (code = ? or s.symbol = ?) and bsl.brokerid = ? and dss.classname <> ? group by trumpetsymbolid, trumpettimegranularity;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Mar 22 15 1 0ms 0ms 4 0ms 0ms 0ms 2,426 0ms insert into t60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) on conflict (pricedatetime, symbolid) do update set open = ?, high = ?, low = ?, close = ?, volume = ?, bsf = ?, sastdatetimewritten = ?, sastdatetimereceived = ?;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Mar 22 15 2,426 0ms 0ms 5 0ms 0ms 0ms 5 0ms select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as resultuid, s.symbol, timegranularity as interval, direction as direction, patternendtime as patternendtime, patternstartprice as psp, patternendprice as pep, target03 as t03, target16 as t16, patternlengthbars as length, p.patternname as patternname, dtt.timezone, cps.pip from fibonacci_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join fibonaccipatterns p on a.pattern = p.patternname left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Mar 22 15 5 0ms 0ms 6 0ms 0ms 0ms 237 0ms select * from ( select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity union select timegranularity, extract(day from (max(patternendtime) - min(patternendtime))) from fibonacci_results a inner join symbols s on a.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid where timegranularity = ? and (dss.archive is null or dss.archive is true) group by timegranularity) as k order by timegranularity;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms 7 0ms 0ms 0ms 95 0ms update patternresultsrelevance set relevant = ?, saxo_relevant = ?, notrelevantpricedatetime = ?, reason = ? where uniqueindex = ? and relevant = ?;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Mar 22 15 95 0ms 0ms 8 0ms 0ms 0ms 4 0ms insert into resultmedia (processresultsid, type, name, filename) values (?, ?, ?, ?) returning id;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Mar 22 15 4 0ms 0ms 9 0ms 0ms 0ms 18 0ms select cast(count(*) / cast(setting as numeric) * ? as int) from pg_stat_activity, pg_settings where name = ? group by setting;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 22 15 18 0ms 0ms 10 0ms 0ms 0ms 237 0ms select v.datname, c.relname, v.phase, v.heap_blks_total, v.heap_blks_scanned, v.heap_blks_vacuumed, v.index_vacuum_count, v.max_dead_tuples, v.num_dead_tuples from pg_stat_progress_vacuum as v join pg_class c on c.oid = v.relid;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms 11 0ms 0ms 0ms 13 0ms select * from ( select pricedatetime, open, high, low, close, volume, bsf from t60 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 22 15 13 0ms 0ms 12 0ms 0ms 0ms 332 0ms commit;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Mar 22 15 332 0ms 0ms 13 0ms 0ms 0ms 4 0ms select psd.symbolid, psd.hourlysymbolid as intervalsymbolid, s.symbol, dtt.timezone, dtt.absolutetimezoneoffset, psh.hour as index, psh.ave, psh.stddev, ((psh.ave - psh.stddev) / ?.?) as low, ((psh.ave + psh.stddev) / ?.?) as high, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend from powerstats_symboldata psd inner join powerstats_hourly psh on psd.hourlysymbolid = psh.symbolid inner join symbols s on psh.symbolid = s.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join mat_ps_hourly_symbolid_max_enddate e on psh.enddate = e.enddate and psh.symbolid = e.symbolid inner join exchanges ee on ee.exchange = s.exchange where psd.symbolid = ? and dtt.dayofweek = ? order by hour asc;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 22 15 4 0ms 0ms 14 0ms 0ms 0ms 176 0ms with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end ), all_results as ( select kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, coalesce(bim.code, s.symbol) as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join autochartist_symbolupdates au on dss.symbolid = au.symbolid left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where kr.gmttimefound > now() - interval ? and dss.enabled = ? and s.deleted = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) and kr.patternstarttime::timestamp without time zone >= coalesce(au.earliestpricedatetime, ?::timestamp without time zone) -- to make sure patternstarttime is in our t-tables ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid ) select * from results order by identified desc, length desc limit ?;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 22 15 176 0ms 0ms 15 0ms 0ms 0ms 237 0ms select count(*), sum(size), extract(epoch from now() - min(modification)) from pg_ls_waldir ();Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms 16 0ms 0ms 0ms 6 0ms select * from ( select pricedatetime, open, high, low, close, volume, bsf from t30 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Mar 22 15 6 0ms 0ms 17 0ms 0ms 0ms 6 0ms select pid, datname, client_addr from pg_stat_activity where query ilike ? and pid <> pg_backend_pid() and state = ? and datname = ?;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 22 15 6 0ms 0ms 18 0ms 0ms 0ms 2 0ms update executions set isrunning = false, has_results = false, response = ? where id = ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 22 15 2 0ms 0ms 19 0ms 0ms 0ms 237 0ms select system_identifier from pg_control_system ();Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms 20 0ms 0ms 0ms 237 0ms select datname, confl_tablespace, confl_lock, confl_snapshot, confl_bufferpin, confl_deadlock from pg_stat_database_conflicts where datname not ilike ? and datname not ilike ? and datname not ilike ? and datname not ilike ?;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 22 15 237 0ms 0ms Time consuming prepare
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 1s243ms 733 0ms 3ms 1ms SELECT symbolid, ;Times Reported Time consuming prepare #1
Day Hour Count Duration Avg duration Mar 22 15 733 1s243ms 1ms -
SELECT symbolid, ;
Date: 2026-03-22 15:46:52 Duration: 3ms Database: postgres
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SELECT symbolid, ;
Date: 2026-03-22 15:50:23 Duration: 3ms Database: postgres
-
SELECT symbolid, ;
Date: 2026-03-22 15:01:08 Duration: 3ms Database: postgres
2 654ms 688 0ms 7ms 0ms WITH rar_max as ( ;Times Reported Time consuming prepare #2
Day Hour Count Duration Avg duration 15 688 654ms 0ms -
WITH rar_max as ( ;
Date: 2026-03-22 15:36:12 Duration: 7ms Database: postgres
-
WITH rar_max as ( ;
Date: 2026-03-22 15:36:12 Duration: 6ms Database: postgres
-
WITH rar_max as ( ;
Date: 2026-03-22 15:11:27 Duration: 4ms Database: postgres
3 241ms 2,336 0ms 0ms 0ms INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming prepare #3
Day Hour Count Duration Avg duration 15 2,336 241ms 0ms -
INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:11:22 Duration: 0ms Database: postgres
-
INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:10:56 Duration: 0ms Database: postgres
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INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:02:51 Duration: 0ms Database: postgres
4 198ms 2,429 0ms 0ms 0ms INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming prepare #4
Day Hour Count Duration Avg duration 15 2,429 198ms 0ms -
INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:41:21 Duration: 0ms Database: postgres
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INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:11:22 Duration: 0ms Database: postgres
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INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:11:26 Duration: 0ms Database: postgres
5 168ms 139 0ms 1ms 1ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming prepare #5
Day Hour Count Duration Avg duration 15 139 168ms 1ms -
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 15:16:12 Duration: 1ms Database: postgres
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 15:30:11 Duration: 1ms Database: postgres
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SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 15:16:20 Duration: 1ms Database: postgres
6 146ms 506 0ms 4ms 0ms SELECT ;Times Reported Time consuming prepare #6
Day Hour Count Duration Avg duration 15 506 146ms 0ms -
SELECT ;
Date: 2026-03-22 15:11:28 Duration: 4ms Database: postgres
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SELECT ;
Date: 2026-03-22 15:13:52 Duration: 3ms Database: postgres
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SELECT ;
Date: 2026-03-22 15:36:40 Duration: 1ms Database: postgres
7 142ms 938 0ms 0ms 0ms SET extra_float_digits = 3;Times Reported Time consuming prepare #7
Day Hour Count Duration Avg duration 15 938 142ms 0ms -
SET extra_float_digits = 3;
Date: 2026-03-22 15:00:09 Duration: 0ms Database: postgres
-
SET extra_float_digits = 3;
Date: 2026-03-22 15:46:27 Duration: 0ms Database: postgres
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SET extra_float_digits = 3;
Date: 2026-03-22 15:16:02 Duration: 0ms Database: postgres
8 120ms 684 0ms 0ms 0ms INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming prepare #8
Day Hour Count Duration Avg duration 15 684 120ms 0ms -
INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:17:08 Duration: 0ms Database: postgres
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INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:46:27 Duration: 0ms Database: postgres
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INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:02:07 Duration: 0ms Database: postgres
9 45ms 288 0ms 0ms 0ms INSERT INTO T1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming prepare #9
Day Hour Count Duration Avg duration 15 288 45ms 0ms -
INSERT INTO T1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:17:41 Duration: 0ms Database: postgres
-
INSERT INTO T1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:47:07 Duration: 0ms Database: postgres
-
INSERT INTO T1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:02:56 Duration: 0ms Database: postgres
10 44ms 18 2ms 3ms 2ms select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;Times Reported Time consuming prepare #10
Day Hour Count Duration Avg duration 15 18 44ms 2ms -
select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;
Date: 2026-03-22 15:21:01 Duration: 3ms Database: postgres
-
select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;
Date: 2026-03-22 15:11:00 Duration: 3ms Database: postgres
-
select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;
Date: 2026-03-22 15:51:01 Duration: 2ms Database: postgres
11 43ms 36 0ms 1ms 1ms select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;Times Reported Time consuming prepare #11
Day Hour Count Duration Avg duration 15 36 43ms 1ms -
select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;
Date: 2026-03-22 15:33:22 Duration: 1ms Database: postgres
-
select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;
Date: 2026-03-22 15:58:28 Duration: 1ms Database: postgres
-
select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;
Date: 2026-03-22 15:53:27 Duration: 1ms Database: postgres
12 39ms 350 0ms 0ms 0ms INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming prepare #12
Day Hour Count Duration Avg duration 15 350 39ms 0ms -
INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:02:50 Duration: 0ms Database: postgres
-
INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:00:26 Duration: 0ms Database: postgres
-
INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:01:25 Duration: 0ms Database: postgres
13 29ms 36 0ms 1ms 0ms select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;Times Reported Time consuming prepare #13
Day Hour Count Duration Avg duration 15 36 29ms 0ms -
select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;
Date: 2026-03-22 15:02:36 Duration: 1ms Database: postgres
-
select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;
Date: 2026-03-22 15:38:23 Duration: 1ms Database: postgres
-
select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;
Date: 2026-03-22 15:07:37 Duration: 1ms Database: postgres
14 25ms 209 0ms 14ms 0ms select 1;Times Reported Time consuming prepare #14
Day Hour Count Duration Avg duration 15 209 25ms 0ms -
select 1;
Date: 2026-03-22 15:13:52 Duration: 14ms Database: postgres
-
select 1;
Date: 2026-03-22 15:13:52 Duration: 1ms Database: postgres
-
select 1;
Date: 2026-03-22 15:36:12 Duration: 0ms Database: postgres
15 14ms 6 2ms 2ms 2ms select client_addr, count(1) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by client_addr, setting having (client_addr is not null OR (client_addr is null and count(1) > (cast(setting as numeric) / 3 * 2))) order by count desc;Times Reported Time consuming prepare #15
Day Hour Count Duration Avg duration 15 6 14ms 2ms -
select client_addr, count(1) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by client_addr, setting having (client_addr is not null OR (client_addr is null and count(1) > (cast(setting as numeric) / 3 * 2))) order by count desc;
Date: 2026-03-22 15:30:04 Duration: 2ms Database: postgres
-
select client_addr, count(1) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by client_addr, setting having (client_addr is not null OR (client_addr is null and count(1) > (cast(setting as numeric) / 3 * 2))) order by count desc;
Date: 2026-03-22 15:00:04 Duration: 2ms Database: postgres
-
select client_addr, count(1) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by client_addr, setting having (client_addr is not null OR (client_addr is null and count(1) > (cast(setting as numeric) / 3 * 2))) order by count desc;
Date: 2026-03-22 15:10:04 Duration: 2ms Database: postgres
16 12ms 36 0ms 0ms 0ms select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;Times Reported Time consuming prepare #16
Day Hour Count Duration Avg duration 15 36 12ms 0ms -
select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;
Date: 2026-03-22 15:17:38 Duration: 0ms Database: postgres
-
select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;
Date: 2026-03-22 15:38:23 Duration: 0ms Database: postgres
-
select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;
Date: 2026-03-22 15:33:22 Duration: 0ms Database: postgres
17 11ms 926 0ms 0ms 0ms SET application_name = 'PostgreSQL JDBC Driver';Times Reported Time consuming prepare #17
Day Hour Count Duration Avg duration 15 926 11ms 0ms -
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-22 15:17:08 Duration: 0ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-22 15:17:47 Duration: 0ms Database: postgres
-
SET application_name = 'PostgreSQL JDBC Driver';
Date: 2026-03-22 15:00:07 Duration: 0ms Database: postgres
18 5ms 3 1ms 2ms 1ms with wh_patitioned as ( ;Times Reported Time consuming prepare #18
Day Hour Count Duration Avg duration 15 3 5ms 1ms -
with wh_patitioned as ( ;
Date: 2026-03-22 15:00:13 Duration: 2ms Database: postgres
-
with wh_patitioned as ( ;
Date: 2026-03-22 15:06:04 Duration: 1ms Database: postgres
-
with wh_patitioned as ( ;
Date: 2026-03-22 15:00:13 Duration: 1ms Database: postgres
19 3ms 3 0ms 1ms 1ms SELECT DISTINCT trumpetSymbolID AS sid, trumpetTimeGranularity AS tg FROM brokersymbollist bsl INNER JOIN downloadersymbolsettings dss ON bsl.symbolid = dss.symbolid AND bsl.brokerid = $1 INNER JOIN symbols s ON dss.symbolid = s.symbolid LEFT JOIN powerstats_symboldata psd ON s.symbolid = psd.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $2 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE (code ILIKE $3 OR s.symbol ILIKE $4 OR ((length(code) >= 4 AND $5 ILIKE code || '%') OR (length(s.symbol) >= 4 AND $6 ILIKE s.symbol || '%'))) and bsl.brokerid = $7 AND dss.classname <> $8 GROUP BY trumpetSymbolID, trumpetTimeGranularity ORDER BY sid DESC LIMIT 1;Times Reported Time consuming prepare #19
Day Hour Count Duration Avg duration 15 3 3ms 1ms -
SELECT DISTINCT trumpetSymbolID AS sid, trumpetTimeGranularity AS tg FROM brokersymbollist bsl INNER JOIN downloadersymbolsettings dss ON bsl.symbolid = dss.symbolid AND bsl.brokerid = $1 INNER JOIN symbols s ON dss.symbolid = s.symbolid LEFT JOIN powerstats_symboldata psd ON s.symbolid = psd.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $2 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE (code ILIKE $3 OR s.symbol ILIKE $4 OR ((length(code) >= 4 AND $5 ILIKE code || '%') OR (length(s.symbol) >= 4 AND $6 ILIKE s.symbol || '%'))) and bsl.brokerid = $7 AND dss.classname <> $8 GROUP BY trumpetSymbolID, trumpetTimeGranularity ORDER BY sid DESC LIMIT 1;
Date: 2026-03-22 15:00:57 Duration: 1ms Database: postgres
-
SELECT DISTINCT trumpetSymbolID AS sid, trumpetTimeGranularity AS tg FROM brokersymbollist bsl INNER JOIN downloadersymbolsettings dss ON bsl.symbolid = dss.symbolid AND bsl.brokerid = $1 INNER JOIN symbols s ON dss.symbolid = s.symbolid LEFT JOIN powerstats_symboldata psd ON s.symbolid = psd.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $2 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE (code ILIKE $3 OR s.symbol ILIKE $4 OR ((length(code) >= 4 AND $5 ILIKE code || '%') OR (length(s.symbol) >= 4 AND $6 ILIKE s.symbol || '%'))) and bsl.brokerid = $7 AND dss.classname <> $8 GROUP BY trumpetSymbolID, trumpetTimeGranularity ORDER BY sid DESC LIMIT 1;
Date: 2026-03-22 15:27:34 Duration: 1ms Database: postgres
-
SELECT DISTINCT trumpetSymbolID AS sid, trumpetTimeGranularity AS tg FROM brokersymbollist bsl INNER JOIN downloadersymbolsettings dss ON bsl.symbolid = dss.symbolid AND bsl.brokerid = $1 INNER JOIN symbols s ON dss.symbolid = s.symbolid LEFT JOIN powerstats_symboldata psd ON s.symbolid = psd.symbolid LEFT OUTER JOIN brokerinstrumentmapping bdfi ON bdfi.brokerid = $2 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid WHERE (code ILIKE $3 OR s.symbol ILIKE $4 OR ((length(code) >= 4 AND $5 ILIKE code || '%') OR (length(s.symbol) >= 4 AND $6 ILIKE s.symbol || '%'))) and bsl.brokerid = $7 AND dss.classname <> $8 GROUP BY trumpetSymbolID, trumpetTimeGranularity ORDER BY sid DESC LIMIT 1;
Date: 2026-03-22 15:37:01 Duration: 0ms Database: postgres
20 2ms 2 1ms 1ms 1ms SELECT * FROM datafeed_symbols WHERE classname ilike 'ICMARKETS-AU-MT5' LIMIT $1;Times Reported Time consuming prepare #20
Day Hour Count Duration Avg duration 15 2 2ms 1ms -
SELECT * FROM datafeed_symbols WHERE classname ilike 'ICMARKETS-AU-MT5' LIMIT $1;
Date: 2026-03-22 15:22:19 Duration: 1ms Database: postgres
-
SELECT * FROM datafeed_symbols WHERE classname ilike 'ICMARKETS-AU-MT5' LIMIT $1;
Date: 2026-03-22 15:52:19 Duration: 1ms Database: postgres
Time consuming bind
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 12s602ms 992 0ms 48ms 12ms WITH rar_max as ( ;Times Reported Time consuming bind #1
Day Hour Count Duration Avg duration Mar 22 15 992 12s602ms 12ms -
WITH rar_max as ( ;
Date: 2026-03-22 15:22:53 Duration: 48ms Database: postgres parameters: $1 = 't', $2 = '667', $3 = '0', $4 = '0', $5 = '0', $6 = '', $7 = '0', $8 = '', $9 = '0', $10 = '', $11 = '0', $12 = '0', $13 = '0', $14 = '0', $15 = '0', $16 = 't', $17 = '0', $18 = '0'
-
WITH rar_max as ( ;
Date: 2026-03-22 15:27:08 Duration: 46ms Database: postgres parameters: $1 = 't', $2 = '667', $3 = '0', $4 = '0', $5 = '0', $6 = '', $7 = '0', $8 = '', $9 = '0', $10 = '', $11 = '0', $12 = '0', $13 = '0', $14 = '0', $15 = '0', $16 = 't', $17 = '0', $18 = '0'
-
WITH rar_max as ( ;
Date: 2026-03-22 15:36:12 Duration: 39ms Database: postgres parameters: $1 = '607871832752526303', $2 = '607871832752526303', $3 = '607871832752526303'
2 1s999ms 733 0ms 12ms 2ms SELECT symbolid, ;Times Reported Time consuming bind #2
Day Hour Count Duration Avg duration 15 733 1s999ms 2ms -
SELECT symbolid, ;
Date: 2026-03-22 15:01:08 Duration: 12ms Database: postgres parameters: $1 = 'BDSWISS', $2 = '15', $3 = 'AUS_200'
-
SELECT symbolid, ;
Date: 2026-03-22 15:16:37 Duration: 4ms Database: postgres parameters: $1 = 'GLOBALGTMT5', $2 = '15', $3 = 'DOTBTC', $4 = 'ETHJPY'
-
SELECT symbolid, ;
Date: 2026-03-22 15:45:54 Duration: 4ms Database: postgres parameters: $1 = 'GLOBALGTMT5', $2 = '15', $3 = 'SHBUSD', $4 = 'SOLUSD'
3 1s803ms 5,288 0ms 6ms 0ms SELECT ;Times Reported Time consuming bind #3
Day Hour Count Duration Avg duration 15 5,288 1s803ms 0ms -
SELECT ;
Date: 2026-03-22 15:00:16 Duration: 6ms Database: postgres parameters: $1 = '515840243198780300'
-
SELECT ;
Date: 2026-03-22 15:13:52 Duration: 6ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '515840243259975300'
-
SELECT ;
Date: 2026-03-22 15:23:17 Duration: 4ms Database: postgres parameters: $1 = '515840243198780300'
4 303ms 45 4ms 18ms 6ms WITH last_candle AS ( ;Times Reported Time consuming bind #4
Day Hour Count Duration Avg duration 15 45 303ms 6ms -
WITH last_candle AS ( ;
Date: 2026-03-22 15:36:00 Duration: 18ms Database: postgres parameters: $1 = '558', $2 = '558'
-
WITH last_candle AS ( ;
Date: 2026-03-22 15:24:07 Duration: 14ms Database: postgres parameters: $1 = '667', $2 = '667'
-
WITH last_candle AS ( ;
Date: 2026-03-22 15:52:00 Duration: 13ms Database: postgres parameters: $1 = '558', $2 = '558'
5 283ms 9 22ms 40ms 31ms with wh_patitioned as ( ;Times Reported Time consuming bind #5
Day Hour Count Duration Avg duration 15 9 283ms 31ms -
with wh_patitioned as ( ;
Date: 2026-03-22 15:05:57 Duration: 40ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '558', $4 = '558', $5 = '558', $6 = '558', $7 = '558', $8 = '558', $9 = '558'
-
with wh_patitioned as ( ;
Date: 2026-03-22 15:57:52 Duration: 39ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '558', $4 = '558', $5 = '558', $6 = '558', $7 = '558', $8 = '558', $9 = '558'
-
with wh_patitioned as ( ;
Date: 2026-03-22 15:24:47 Duration: 35ms Database: postgres parameters: $1 = '558', $2 = '558', $3 = '558', $4 = '558', $5 = '558', $6 = '558', $7 = '558', $8 = '558', $9 = '558'
6 269ms 139 1ms 2ms 1ms SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;Times Reported Time consuming bind #6
Day Hour Count Duration Avg duration 15 139 269ms 1ms -
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 15:01:43 Duration: 2ms Database: postgres parameters: $1 = 'GLOBALGTMT5'
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 15:00:58 Duration: 2ms Database: postgres parameters: $1 = 'MILLENNIUMPF'
-
SELECT s.symbolid, dss.downloadfrequency, dss.downloadersymbol;
Date: 2026-03-22 15:01:23 Duration: 2ms Database: postgres parameters: $1 = 'GLOBALGTMT5'
7 206ms 24 0ms 18ms 8ms WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;Times Reported Time consuming bind #7
Day Hour Count Duration Avg duration 15 24 206ms 8ms -
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;
Date: 2026-03-22 15:13:23 Duration: 18ms Database: postgres parameters: $1 = '667', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
-
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;
Date: 2026-03-22 15:18:47 Duration: 11ms Database: postgres parameters: $1 = '667', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
-
WITH /*Latest.JapSticks*/ all_results AS ( SELECT ;
Date: 2026-03-22 15:48:18 Duration: 11ms Database: postgres parameters: $1 = '667', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '', $10 = '0', $11 = '0'
8 195ms 2,426 0ms 0ms 0ms INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming bind #8
Day Hour Count Duration Avg duration 15 2,426 195ms 0ms -
INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:11:22 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 17:00:00', $2 = '24969.8', $3 = '25008.39', $4 = '24882.3', $5 = '24913.8', $6 = '21343', $7 = '515840247933961300', $8 = '0', $9 = '2026-03-22 15:11:22.419', $10 = '2026-03-22 15:11:22.322', $11 = '24969.8', $12 = '25008.39', $13 = '24882.3', $14 = '24913.8', $15 = '21343', $16 = '0', $17 = '2026-03-22 15:11:22.419', $18 = '2026-03-22 15:11:22.322'
-
INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:10:56 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 20:00:00', $2 = '109.82', $3 = '109.95', $4 = '109.37', $5 = '109.56', $6 = '6521', $7 = '515840247879403300', $8 = '0', $9 = '2026-03-22 15:10:56.165', $10 = '2026-03-22 15:10:56.098', $11 = '109.82', $12 = '109.95', $13 = '109.37', $14 = '109.56', $15 = '6521', $16 = '0', $17 = '2026-03-22 15:10:56.165', $18 = '2026-03-22 15:10:56.098'
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INSERT INTO T60 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:02:57 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 22:00:00', $2 = '76.89', $3 = '77.485', $4 = '76.28', $5 = '76.4', $6 = '817', $7 = '515840249458435300', $8 = '0', $9 = '2026-03-22 15:02:57.614', $10 = '2026-03-22 15:02:57.614', $11 = '76.89', $12 = '77.485', $13 = '76.28', $14 = '76.4', $15 = '817', $16 = '0', $17 = '2026-03-22 15:02:57.614', $18 = '2026-03-22 15:02:57.614'
9 171ms 2,459 0ms 0ms 0ms INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming bind #9
Day Hour Count Duration Avg duration 15 2,459 171ms 0ms -
INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:41:21 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 18:00:00', $2 = '24912.7', $3 = '24933.3', $4 = '24843.3', $5 = '24861.3', $6 = '9982', $7 = '515840247933633300', $8 = '0', $9 = '2026-03-22 15:41:21.885', $10 = '2026-03-22 15:41:21.73', $11 = '24912.7', $12 = '24933.3', $13 = '24843.3', $14 = '24861.3', $15 = '9982', $16 = '0', $17 = '2026-03-22 15:41:21.885', $18 = '2026-03-22 15:41:21.73'
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INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:11:22 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 18:00:00', $2 = '24912.7', $3 = '24933.3', $4 = '24843.3', $5 = '24861.3', $6 = '9982', $7 = '515840247933633300', $8 = '0', $9 = '2026-03-22 15:11:22.43', $10 = '2026-03-22 15:11:22.313', $11 = '24912.7', $12 = '24933.3', $13 = '24843.3', $14 = '24861.3', $15 = '9982', $16 = '0', $17 = '2026-03-22 15:11:22.43', $18 = '2026-03-22 15:11:22.313'
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INSERT INTO T30 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:11:26 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 22:00:00', $2 = '45631.15', $3 = '45769.05', $4 = '45617.15', $5 = '45708.05', $6 = '3019', $7 = '515840248000726300', $8 = '0', $9 = '2026-03-22 15:11:26.47', $10 = '2026-03-22 15:11:26.393', $11 = '45631.15', $12 = '45769.05', $13 = '45617.15', $14 = '45708.05', $15 = '3019', $16 = '0', $17 = '2026-03-22 15:11:26.47', $18 = '2026-03-22 15:11:26.393'
10 161ms 4,448 0ms 6ms 0ms select 1;Times Reported Time consuming bind #10
Day Hour Count Duration Avg duration 15 4,448 161ms 0ms -
select 1;
Date: 2026-03-22 15:53:22 Duration: 6ms Database: postgres
-
select 1;
Date: 2026-03-22 15:13:52 Duration: 3ms Database: postgres
-
select 1;
Date: 2026-03-22 15:24:07 Duration: 2ms Database: postgres
11 135ms 2,887 0ms 0ms 0ms INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming bind #11
Day Hour Count Duration Avg duration 15 2,887 135ms 0ms -
INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:46:27 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 22:15:00', $2 = '45729.55', $3 = '45730.05', $4 = '45683.05', $5 = '45708.05', $6 = '1112', $7 = '515840248000537300', $8 = '0', $9 = '2026-03-22 15:46:27.847', $10 = '2026-03-22 15:46:27.782', $11 = '45729.55', $12 = '45730.05', $13 = '45683.05', $14 = '45708.05', $15 = '1112', $16 = '0', $17 = '2026-03-22 15:46:27.847', $18 = '2026-03-22 15:46:27.782'
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INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:02:50 Duration: 0ms Database: postgres parameters: $1 = '2026-03-22 15:45:00', $2 = '54.0475', $3 = '54.062', $4 = '53.966', $5 = '54.043', $6 = '225', $7 = '515840249395930300', $8 = '0', $9 = '2026-03-22 15:02:50.095', $10 = '2026-03-22 15:02:50.043', $11 = '54.0475', $12 = '54.062', $13 = '53.966', $14 = '54.043', $15 = '225', $16 = '0', $17 = '2026-03-22 15:02:50.095', $18 = '2026-03-22 15:02:50.043'
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INSERT INTO T15 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:05:26 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 22:45:00', $2 = '0.86674', $3 = '0.8669', $4 = '0.86637', $5 = '0.86687', $6 = '870', $7 = '515840230407284300', $8 = '0', $9 = '2026-03-22 15:05:26.908', $10 = '2026-03-22 15:05:26.811', $11 = '0.86674', $12 = '0.8669', $13 = '0.86637', $14 = '0.86687', $15 = '870', $16 = '0', $17 = '2026-03-22 15:05:26.908', $18 = '2026-03-22 15:05:26.811'
12 48ms 288 0ms 0ms 0ms INSERT INTO T1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming bind #12
Day Hour Count Duration Avg duration 15 288 48ms 0ms -
INSERT INTO T1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:47:53 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 00:00:00', $2 = '0.58745', $3 = '0.589185', $4 = '0.5818', $5 = '0.58293', $6 = '71549', $7 = '515840249465415300', $8 = '0', $9 = '2026-03-22 15:47:53.756', $10 = '2026-03-22 15:47:53.756', $11 = '0.58745', $12 = '0.589185', $13 = '0.5818', $14 = '0.58293', $15 = '71549', $16 = '0', $17 = '2026-03-22 15:47:53.757', $18 = '2026-03-22 15:47:53.756'
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INSERT INTO T1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:17:41 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 00:00:00', $2 = '182.808', $3 = '184.267', $4 = '182.5955', $5 = '184.2465', $6 = '213655', $7 = '515840249380783300', $8 = '0', $9 = '2026-03-22 15:17:41.727', $10 = '2026-03-22 15:17:41.727', $11 = '182.808', $12 = '184.267', $13 = '182.5955', $14 = '184.2465', $15 = '213655', $16 = '0', $17 = '2026-03-22 15:17:41.727', $18 = '2026-03-22 15:17:41.727'
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INSERT INTO T1440_underlying (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:18:00 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 00:00:00', $2 = '157.7555', $3 = '159.3885', $4 = '157.6415', $5 = '159.2315', $6 = '93232', $7 = '515840249376023300', $8 = '0', $9 = '2026-03-22 15:18:00.144', $10 = '2026-03-22 15:18:00.144', $11 = '157.7555', $12 = '159.3885', $13 = '157.6415', $14 = '159.2315', $15 = '93232', $16 = '0', $17 = '2026-03-22 15:18:00.144', $18 = '2026-03-22 15:18:00.144'
13 42ms 350 0ms 0ms 0ms INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;Times Reported Time consuming bind #13
Day Hour Count Duration Avg duration 15 350 42ms 0ms -
INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:02:50 Duration: 0ms Database: postgres parameters: $1 = '2026-03-22 12:00:00', $2 = '54.2295', $3 = '54.376', $4 = '53.808', $5 = '54.043', $6 = '4406', $7 = '515840249396463300', $8 = '0', $9 = '2026-03-22 15:02:50.117', $10 = '2026-03-22 15:02:50.116', $11 = '54.2295', $12 = '54.376', $13 = '53.808', $14 = '54.043', $15 = '4406', $16 = '0', $17 = '2026-03-22 15:02:50.117', $18 = '2026-03-22 15:02:50.116'
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INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:00:26 Duration: 0ms Database: postgres parameters: $1 = '2026-03-22 12:00:00', $2 = '74352.5', $3 = '74577', $4 = '74039', $5 = '74459.5', $6 = '5187', $7 = '515840249400231300', $8 = '0', $9 = '2026-03-22 15:00:26.897', $10 = '2026-03-22 15:00:26.896', $11 = '74352.5', $12 = '74577', $13 = '74039', $14 = '74459.5', $15 = '5187', $16 = '0', $17 = '2026-03-22 15:00:26.897', $18 = '2026-03-22 15:00:26.896'
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INSERT INTO T240 (pricedatetime, open, high, low, close, volume, symbolid, bsf, sastdatetimewritten, sastdatetimereceived) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) ON CONFLICT (pricedatetime, symbolid) DO UPDATE SET open = $11, high = $12, low = $13, close = $14, volume = $15, bsf = $16, sastdatetimewritten = $17, sastdatetimereceived = $18;
Date: 2026-03-22 15:01:41 Duration: 0ms Database: postgres parameters: $1 = '2026-03-20 20:00:00', $2 = '0.86762', $3 = '0.86764', $4 = '0.86593', $5 = '0.86734', $6 = '14419', $7 = '515840249377113300', $8 = '0', $9 = '2026-03-22 15:01:41.494', $10 = '2026-03-22 15:01:41.472', $11 = '0.86762', $12 = '0.86764', $13 = '0.86593', $14 = '0.86734', $15 = '14419', $16 = '0', $17 = '2026-03-22 15:01:41.494', $18 = '2026-03-22 15:01:41.472'
14 33ms 75 0ms 5ms 0ms /*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;Times Reported Time consuming bind #14
Day Hour Count Duration Avg duration 15 75 33ms 0ms -
/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;
Date: 2026-03-22 15:50:14 Duration: 5ms Database: postgres parameters: $1 = '607868529985360301'
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/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;
Date: 2026-03-22 15:51:57 Duration: 4ms Database: postgres parameters: $1 = '607872127581070301'
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/*server.CPResult*/ SELECT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, symbol, longname, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, breakout, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM autochartist_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern where resultuid = $1;
Date: 2026-03-22 15:05:43 Duration: 4ms Database: postgres parameters: $1 = '607872069772286301'
15 25ms 36 0ms 0ms 0ms select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;Times Reported Time consuming bind #15
Day Hour Count Duration Avg duration 15 36 25ms 0ms -
select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;
Date: 2026-03-22 15:38:23 Duration: 0ms Database: postgres
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select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;
Date: 2026-03-22 15:58:28 Duration: 0ms Database: postgres
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select feedname, to_char(latestrxtime, 'yyyy-mm-dd HH24:MI'), to_char(LatestDBWriteTime, 'yyyy-mm-dd HH24:MI'), to_char(LatestStartupTime, 'yyyy-mm-dd HH24:MI'), StartupTimeInMinutes, dm.source_type, dm.transport_type, case when latestrxtime < (CURRENT_TIMESTAMP - 5 * interval '1 minute') then 'X' else 'OK' end, case when (feedname ilike '%_EOD' OR feedname ilike 'IQFEED_DAILIES' or feedname ilike 'YAHOO%' or feedname ilike 'QUANDL_FUTURES%' or feedname ilike 'BAR_CHART') then case when LatestDBWriteTime < (CURRENT_TIMESTAMP - 24 * interval '1 hour') then 'X' else 'OK' end else case when (LatestDBWriteTime < (CURRENT_TIMESTAMP - 15 * interval '1 minute') and LatestStartupTime < (CURRENT_TIMESTAMP - 30 * interval '1 minute')) OR latestrxtime < CURRENT_TIMESTAMP - interval '2 hour' then 'X' else 'OK' end end as statusDB, comment from datafeeds_latestrun dlr left outer join datafeeds df on dlr.feedname ilike df.name inner join datafeeds_metadata dm on df.metadata_id = dm.id order by feedname;
Date: 2026-03-22 15:22:39 Duration: 0ms Database: postgres
16 23ms 36 0ms 0ms 0ms select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;Times Reported Time consuming bind #16
Day Hour Count Duration Avg duration 15 36 23ms 0ms -
select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;
Date: 2026-03-22 15:02:36 Duration: 0ms Database: postgres
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select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;
Date: 2026-03-22 15:47:43 Duration: 0ms Database: postgres
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select distinct classname, to_char(created_datetime, 'yyyy-mm-dd HH24:MI'), to_char(cleared_datetime, 'yyyy-mm-dd HH24:MI'), action_to_take, description, created_datetime from datafeed_restarter_events where (is_current_entry = 1 OR cleared_datetime > current_timestamp - interval '17 hour') order by created_datetime desc;
Date: 2026-03-22 15:13:18 Duration: 0ms Database: postgres
17 13ms 20 0ms 3ms 0ms /*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;Times Reported Time consuming bind #17
Day Hour Count Duration Avg duration 15 20 13ms 0ms -
/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-22 15:50:18 Duration: 3ms Database: postgres parameters: $1 = '607872183641618303'
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/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-22 15:16:40 Duration: 2ms Database: postgres parameters: $1 = '607870657228853303'
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/*server.KeyLevelResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice as pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '1900-01-01' END as x3, CASE WHEN (x4 != '') THEN x4 ELSE '1900-01-01' END as x4, CASE WHEN (x5 != '') THEN x5 ELSE '1900-01-01' END as x5, CASE WHEN (x6 != '') THEN x6 ELSE '1900-01-01' END as x6, CASE WHEN (x7 != '') THEN x7 ELSE '1900-01-01' END as x7, CASE WHEN (x8 != '') THEN x8 ELSE '1900-01-01' END as x8, CASE WHEN (x9 != '') THEN x9 ELSE '1900-01-01' END as x9, errorMargin as erm, breakoutprice as pE, breakoutbars as be, breakout, atbaridentified as atBar, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz, approachingtimestamp AS apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb FROM keylevels_results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN hrspatterns p on a.patternid = p.patternid where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-22 15:25:25 Duration: 2ms Database: postgres parameters: $1 = '607872183641618303'
18 12ms 18 0ms 0ms 0ms select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;Times Reported Time consuming bind #18
Day Hour Count Duration Avg duration 15 18 12ms 0ms -
select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;
Date: 2026-03-22 15:21:01 Duration: 0ms Database: postgres
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select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;
Date: 2026-03-22 15:51:01 Duration: 0ms Database: postgres
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select cast(count(*) / cast(setting as numeric) * 100 as int) from pg_stat_activity, pg_settings WHERE name = 'max_connections' group by setting;
Date: 2026-03-22 15:11:01 Duration: 0ms Database: postgres
19 9ms 2 4ms 5ms 4ms SELECT DISTINCT ON (basegroupname, symbol) ;Times Reported Time consuming bind #19
Day Hour Count Duration Avg duration 15 2 9ms 4ms -
SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 15:11:03 Duration: 5ms Database: postgres parameters: $1 = '627', $2 = '627'
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SELECT DISTINCT ON (basegroupname, symbol) ;
Date: 2026-03-22 15:21:00 Duration: 4ms Database: postgres parameters: $1 = '627', $2 = '627'
20 8ms 13 0ms 2ms 0ms /*server.FibonacciResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, Exchange AS e, longname as lo, shortname as sho, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, 1 - errormargin as rq, 1 - noise as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM Fibonacci_Results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN fibonaccipatterns p on a.pattern = p.patternname where resultuid = $1 and dtt.dayofweek = 3;Times Reported Time consuming bind #20
Day Hour Count Duration Avg duration 15 13 8ms 0ms -
/*server.FibonacciResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, Exchange AS e, longname as lo, shortname as sho, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, 1 - errormargin as rq, 1 - noise as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM Fibonacci_Results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN fibonaccipatterns p on a.pattern = p.patternname where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-22 15:12:54 Duration: 2ms Database: postgres parameters: $1 = '607872009055308302'
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/*server.FibonacciResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, Exchange AS e, longname as lo, shortname as sho, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, 1 - errormargin as rq, 1 - noise as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM Fibonacci_Results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN fibonaccipatterns p on a.pattern = p.patternname where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-22 15:27:52 Duration: 2ms Database: postgres parameters: $1 = '607872070827810302'
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/*server.FibonacciResult*/ SELECT ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, Exchange AS e, longname as lo, shortname as sho, timegranularity AS tg, p.PatternID AS pid, Direction AS d, PatternStartTime AS pst, PatternEndTime AS pet, PatternStartPrice AS psp, PatternEndPrice AS pep, priceX as px, timeX as tx, priceA as pa, timeA as ta, priceB as pb, timeB as tb, priceC as pc, timeC as tc, priceD as pd, timeD as td, averagequality as aq, timequality as tq, 1 - errormargin as rq, 1 - noise as c, target10 as t10, target06 as t06, target16 as t16, target07 as t07, target12 as t12, target03 as t03, target05 as t05, PatternLengthBars AS l, temporarypattern as tp, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzOs, dtt.timezone as tz FROM Fibonacci_Results a INNER JOIN downloadersymbolsettings dss on a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid INNER JOIN fibonaccipatterns p on a.pattern = p.patternname where resultuid = $1 and dtt.dayofweek = 3;
Date: 2026-03-22 15:28:35 Duration: 1ms Database: postgres parameters: $1 = '607872070594643302'
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Events
Log levels
Key values
- 153,284 Log entries
Events distribution
Key values
- 0 PANIC entries
- 0 FATAL entries
- 238 ERROR entries
- 0 WARNING entries
Most Frequent Errors/Events
Key values
- 237 Max number of times the same event was reported
- 238 Total events found
Rank Times reported Error 1 237 ERROR: canceling statement due to statement timeout
Times Reported Most Frequent Error / Event #1
Day Hour Count Mar 22 15 237 - ERROR: canceling statement due to statement timeout
Statement: /* service='datadog-agent' */ select count(*) from (select *, row_number() over (partition by whid order by id desc) r from whatshot_probability where "type" = 'cp' union select *, row_number() over (partition by whid order by id desc) r from whatshot_probability where "type" = 'ekl' union select *, row_number() over (partition by whid order by id desc) r from whatshot_probability where type = 'kl') as k where r > 3;
Date: 2026-03-22 15:00:13
2 1 ERROR: value too long for type character varying(...)
Times Reported Most Frequent Error / Event #2
Day Hour Count Mar 22 15 1 - ERROR: value too long for type character varying(255)
Context: SQL statement "with del as ( delete from patternresultsrelevance where type = 1 and resultuid in ( select p.resultuid from patternresultsrelevance p left outer join fibonacci_results a on p.resultuid = a.resultuid where p.type = 1 and a.resultuid is null ) returning * ) insert into archive.patternresultsrelevance (resultuid,type,relevant,reason,notrelevantpricedatetime,uniqueindex,saxo_relevant) select resultuid,type,relevant,reason,notrelevantpricedatetime,uniqueindex,saxo_relevant from del" PL/pgSQL function cleanuppatternresultsrelevance() line 19 at SQL statement
Statement: select cleanuppatternresultsrelevance()Date: 2026-03-22 15:00:06