-
Global information
- Generated on Thu Mar 31 22:56:27 2022
- Log file: /home/postgres/pg_data/data/pg_log/postgresql-2022-03-31_000000.log, ..., /home/postgres/pg_data/data/pg_log/postgresql-2022-03-31_230000.log
- Parsed 853,166 log entries in 1m26s
- Log start from 2022-03-31 00:00:00 to 2022-03-31 23:59:59
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Overview
Global Stats
- 1,607 Number of unique normalized queries
- 131,577 Number of queries
- 2d12h4m20s Total query duration
- 2022-03-31 00:00:00 First query
- 2022-03-31 23:59:59 Last query
- 47 queries/s at 2022-03-31 14:51:22 Query peak
- 2d12h4m20s Total query duration
- 21m9s Prepare/parse total duration
- 10m1s Bind total duration
- 2d11h33m9s Execute total duration
- 141,345 Number of events
- 31 Number of unique normalized events
- 79,407 Max number of times the same event was reported
- 0 Number of cancellation
- 0 Total number of automatic vacuums
- 0 Total number of automatic analyzes
- 21,893 Number temporary file
- 11.11 GiB Max size of temporary file
- 8.54 MiB Average size of temporary file
- 0 Total number of sessions
- 0 sessions at Session peak
- 0ms Total duration of sessions
- 0ms Average duration of sessions
- 131,577 Average queries per session
- 2d12h4m20s Average queries duration per session
- n/a Average idle time per session
- 0 Total number of connections
- 3 Total number of databases
SQL Traffic
Key values
- 47 queries/s Query Peak
- 2022-03-31 14:51:22 Date
SELECT Traffic
Key values
- 47 queries/s Query Peak
- 2022-03-31 14:51:22 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 32 queries/s Query Peak
- 2022-03-31 10:06:10 Date
Queries duration
Key values
- 2d12h4m20s 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 31 00 4,051 50ms 39s474ms 1s229ms 2m16s 3m10s 3m49s 01 3,614 0ms 38s623ms 1s277ms 1m58s 2m9s 4m5s 02 4,197 50ms 53m10s 2s53ms 3m1s 3m25s 53m51s 03 4,782 0ms 6m14s 1s236ms 2m41s 5m25s 9m38s 04 4,522 0ms 37s911ms 1s155ms 2m30s 2m50s 3m7s 05 4,650 0ms 45s152ms 1s160ms 2m32s 3m20s 4m35s 06 5,288 50ms 19m49s 4s481ms 4m32s 7m25s 4h10m31s 07 4,844 0ms 42s12ms 1s126ms 2m25s 3m11s 4m6s 08 6,490 50ms 57s763ms 1s93ms 3m34s 4m30s 6m30s 09 8,873 0ms 5m1s 2s581ms 11m51s 15m4s 1h37m44s 10 10,654 50ms 8m40s 2s470ms 18m31s 22m44s 30m22s 11 10,357 50ms 8m40s 2s957ms 17m59s 26m21s 32m6s 12 8,732 50ms 4m48s 3s436ms 21m29s 23m32s 26m35s 13 4,210 0ms 4m51s 1s140ms 2m21s 5m28s 7m28s 14 6,030 0ms 45s494ms 601ms 1m50s 2m41s 4m44s 15 6,428 0ms 53s173ms 534ms 1m37s 2m11s 3m11s 16 5,537 50ms 26s496ms 508ms 1m24s 1m32s 1m47s 17 5,139 0ms 32s769ms 498ms 1m8s 1m53s 2m10s 18 4,637 50ms 16s919ms 568ms 1m36s 1m41s 2m3s 19 4,576 50ms 18s863ms 691ms 1m42s 2m3s 2m39s 20 3,888 50ms 26s809ms 726ms 1m28s 1m40s 2m20s 21 3,466 50ms 17s999ms 796ms 1m26s 1m30s 1m41s 22 3,377 50ms 44s453ms 731ms 1m28s 1m37s 2m2s 23 3,235 0ms 30s631ms 754ms 1m18s 1m24s 1m56s Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Mar 31 00 1,583 23 427ms 11s520ms 42s194ms 1m10s 01 1,378 21 441ms 12s241ms 26s748ms 1m9s 02 1,855 25 2s143ms 26s585ms 52s91ms 1m34s 03 2,068 23 764ms 19s568ms 1m3s 4m3s 04 1,919 21 404ms 15s798ms 43s58ms 1m24s 05 2,057 22 333ms 16s246ms 19s974ms 1m12s 06 2,274 86 965ms 1m10s 1m59s 2m53s 07 2,013 22 360ms 16s439ms 34s683ms 1m22s 08 3,070 23 394ms 21s490ms 57s188ms 2m 09 5,000 156 937ms 2m20s 2m58s 8m22s 10 7,184 5 841ms 2m49s 5m37s 8m53s 11 8,116 0 825ms 3m21s 5m37s 6m19s 12 6,457 0 1s116ms 3m27s 4m59s 8m49s 13 2,920 15 673ms 26s512ms 1m17s 4m50s 14 5,032 14 303ms 27s778ms 41s965ms 2m36s 15 5,365 13 219ms 28s513ms 35s308ms 1m43s 16 4,597 13 171ms 19s310ms 22s40ms 34s767ms 17 4,195 13 146ms 13s501ms 18s306ms 28s464ms 18 3,632 13 135ms 9s710ms 12s236ms 21s638ms 19 3,465 13 190ms 18s860ms 23s281ms 29s611ms 20 2,875 13 199ms 12s334ms 16s745ms 28s265ms 21 2,437 13 193ms 9s922ms 10s749ms 16s774ms 22 2,519 13 240ms 10s690ms 16s230ms 1m3s 23 2,270 13 155ms 8s274ms 9s839ms 13s517ms Day Hour INSERT UPDATE DELETE COPY FROM Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Mar 31 00 13 107 0 71 130ms 491ms 607ms 1s726ms 01 1 100 0 66 124ms 338ms 575ms 1s528ms 02 34 108 0 70 146ms 445ms 653ms 2s26ms 03 499 97 0 79 95ms 637ms 929ms 5s433ms 04 32 105 0 79 117ms 395ms 746ms 1s811ms 05 3 96 0 81 153ms 314ms 634ms 1s577ms 06 52 111 0 59 57s466ms 308ms 676ms 2s142ms 07 3 83 0 80 135ms 333ms 679ms 1s257ms 08 87 102 0 80 112ms 443ms 720ms 2s85ms 09 20 116 0 69 31s699ms 467ms 1s58ms 3m43s 10 8 150 0 62 7s144ms 155ms 45s617ms 2m26s 11 9 192 0 0 14s24ms 34s816ms 1m17s 4m16s 12 8 112 0 0 1s62ms 0ms 599ms 6s788ms 13 24 6 0 15 363ms 0ms 401ms 1s623ms 14 8 51 0 66 263ms 420ms 571ms 2s166ms 15 46 21 0 70 108ms 142ms 497ms 1s177ms 16 0 20 0 66 144ms 84ms 471ms 806ms 17 0 16 0 73 117ms 86ms 492ms 683ms 18 1 16 0 68 121ms 90ms 478ms 643ms 19 0 19 0 69 126ms 91ms 480ms 782ms 20 0 17 0 66 125ms 92ms 457ms 626ms 21 2 17 0 66 120ms 99ms 464ms 523ms 22 0 18 0 69 122ms 99ms 473ms 778ms 23 28 16 0 66 137ms 379ms 467ms 503ms Day Hour Prepare Bind Bind/Prepare Percentage of prepare Mar 31 00 0 3,679 3,679.00 0.00% 01 0 3,265 3,265.00 0.00% 02 0 3,761 3,761.00 0.00% 03 0 3,901 3,901.00 0.00% 04 0 4,116 4,116.00 0.00% 05 1 4,240 4,240.00 0.02% 06 2 4,787 2,393.50 0.04% 07 0 4,480 4,480.00 0.00% 08 1 6,040 6,040.00 0.02% 09 8 8,272 1,034.00 0.09% 10 25 9,842 393.68 0.24% 11 15 10,099 673.27 0.14% 12 20 8,445 422.25 0.23% 13 0 4,091 4,091.00 0.00% 14 0 4,465 4,465.00 0.00% 15 0 6,052 6,052.00 0.00% 16 0 5,271 5,271.00 0.00% 17 0 4,889 4,889.00 0.00% 18 0 4,372 4,372.00 0.00% 19 0 4,322 4,322.00 0.00% 20 1 3,652 3,652.00 0.03% 21 0 3,229 3,229.00 0.00% 22 0 3,150 3,150.00 0.00% 23 0 2,980 2,980.00 0.00% Day Hour Count Average / Second Mar 31 00 0 0.00/s 01 0 0.00/s 02 0 0.00/s 03 0 0.00/s 04 0 0.00/s 05 0 0.00/s 06 0 0.00/s 07 0 0.00/s 08 0 0.00/s 09 0 0.00/s 10 0 0.00/s 11 0 0.00/s 12 0 0.00/s 13 0 0.00/s 14 0 0.00/s 15 0 0.00/s 16 0 0.00/s 17 0 0.00/s 18 0 0.00/s 19 0 0.00/s 20 0 0.00/s 21 0 0.00/s 22 0 0.00/s 23 0 0.00/s Day Hour Count Average Duration Average idle time Mar 31 00 0 0ms 0ms 01 0 0ms 0ms 02 0 0ms 0ms 03 0 0ms 0ms 04 0 0ms 0ms 05 0 0ms 0ms 06 0 0ms 0ms 07 0 0ms 0ms 08 0 0ms 0ms 09 0 0ms 0ms 10 0 0ms 0ms 11 0 0ms 0ms 12 0 0ms 0ms 13 0 0ms 0ms 14 0 0ms 0ms 15 0 0ms 0ms 16 0 0ms 0ms 17 0 0ms 0ms 18 0 0ms 0ms 19 0 0ms 0ms 20 0 0ms 0ms 21 0 0ms 0ms 22 0 0ms 0ms 23 0 0ms 0ms -
Connections
Established Connections
Key values
- 0 connections Connection Peak
- Date
Connections per database
Key values
- unknown Main Database
- 0 connections Total
Connections per user
Key values
- unknown Main User
- 0 connections Total
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Sessions
Simultaneous sessions
Key values
- 0 sessions Session Peak
- Date
Histogram of session times
Key values
- duration
Sessions per database
Key values
- unknown Main Database
- 0 sessions Total
Sessions per user
Key values
- unknown Main User
- 0 sessions Total
Sessions per host
Key values
- unknown Main Host
- 0 sessions Total
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Checkpoints / Restartpoints
Checkpoints Buffers
Key values
- 0 buffers Checkpoint Peak
- Date
- seconds Highest write time
- seconds Sync time
Checkpoint write buffers (5 minutes period)
NO DATASET
Checkpoints Wal files
Key values
- 0 files Wal files usage Peak
- Date
Checkpoint Wal files usage (5 minutes period)
NO DATASET
Checkpoints distance
Key values
- 0 Mo Distance Peak
- Date
Checkpoints Activity
↑ Back to the top of the Checkpoint Activity tableDay Hour Written buffers Write time Sync time Total time Mar 31 00 0 0s 0s 0s 01 0 0s 0s 0s 02 0 0s 0s 0s 03 0 0s 0s 0s 04 0 0s 0s 0s 05 0 0s 0s 0s 06 0 0s 0s 0s 07 0 0s 0s 0s 08 0 0s 0s 0s 09 0 0s 0s 0s 10 0 0s 0s 0s 11 0 0s 0s 0s 12 0 0s 0s 0s 13 0 0s 0s 0s 14 0 0s 0s 0s 15 0 0s 0s 0s 16 0 0s 0s 0s 17 0 0s 0s 0s 18 0 0s 0s 0s 19 0 0s 0s 0s 20 0 0s 0s 0s 21 0 0s 0s 0s 22 0 0s 0s 0s 23 0 0s 0s 0s Day Hour Added Removed Recycled Synced files Longest sync Average sync Mar 31 00 0 0 0 0 0s 0s 01 0 0 0 0 0s 0s 02 0 0 0 0 0s 0s 03 0 0 0 0 0s 0s 04 0 0 0 0 0s 0s 05 0 0 0 0 0s 0s 06 0 0 0 0 0s 0s 07 0 0 0 0 0s 0s 08 0 0 0 0 0s 0s 09 0 0 0 0 0s 0s 10 0 0 0 0 0s 0s 11 0 0 0 0 0s 0s 12 0 0 0 0 0s 0s 13 0 0 0 0 0s 0s 14 0 0 0 0 0s 0s 15 0 0 0 0 0s 0s 16 0 0 0 0 0s 0s 17 0 0 0 0 0s 0s 18 0 0 0 0 0s 0s 19 0 0 0 0 0s 0s 20 0 0 0 0 0s 0s 21 0 0 0 0 0s 0s 22 0 0 0 0 0s 0s 23 0 0 0 0 0s 0s Day Hour Count Avg time (sec) Mar 31 00 0 0s 01 0 0s 02 0 0s 03 0 0s 04 0 0s 05 0 0s 06 0 0s 07 0 0s 08 0 0s 09 0 0s 10 0 0s 11 0 0s 12 0 0s 13 0 0s 14 0 0s 15 0 0s 16 0 0s 17 0 0s 18 0 0s 19 0 0s 20 0 0s 21 0 0s 22 0 0s 23 0 0s Day Hour Mean distance Mean estimate Mar 31 00 0.00 kB 0.00 kB 01 0.00 kB 0.00 kB 02 0.00 kB 0.00 kB 03 0.00 kB 0.00 kB 04 0.00 kB 0.00 kB 05 0.00 kB 0.00 kB 06 0.00 kB 0.00 kB 07 0.00 kB 0.00 kB 08 0.00 kB 0.00 kB 09 0.00 kB 0.00 kB 10 0.00 kB 0.00 kB 11 0.00 kB 0.00 kB 12 0.00 kB 0.00 kB 13 0.00 kB 0.00 kB 14 0.00 kB 0.00 kB 15 0.00 kB 0.00 kB 16 0.00 kB 0.00 kB 17 0.00 kB 0.00 kB 18 0.00 kB 0.00 kB 19 0.00 kB 0.00 kB 20 0.00 kB 0.00 kB 21 0.00 kB 0.00 kB 22 0.00 kB 0.00 kB 23 0.00 kB 0.00 kB -
Temporary Files
Size of temporary files
Key values
- 4.00 GiB Temp Files size Peak
- 2022-03-31 13:17:38 Date
Number of temporary files
Key values
- 517 per second Temp Files Peak
- 2022-03-31 13:01:37 Date
Temporary Files Activity
↑ Back to the top of the Temporary Files Activity tableDay Hour Count Total size Average size Mar 31 00 206 1.64 GiB 8.14 MiB 01 172 1.31 GiB 7.82 MiB 02 184 1.71 GiB 9.52 MiB 03 163 1.55 GiB 9.73 MiB 04 208 1.54 GiB 7.60 MiB 05 197 1.53 GiB 7.96 MiB 06 187 1.49 GiB 8.14 MiB 07 155 1.22 GiB 8.06 MiB 08 214 1.79 GiB 8.56 MiB 09 322 6.52 GiB 20.73 MiB 10 1,089 12.83 GiB 12.06 MiB 11 2,840 15.85 GiB 5.72 MiB 12 715 13.80 GiB 19.76 MiB 13 6,055 50.11 GiB 8.47 MiB 14 1,906 9.96 GiB 5.35 MiB 15 1,407 12.39 GiB 9.02 MiB 16 886 6.02 GiB 6.95 MiB 17 889 6.06 GiB 6.98 MiB 18 788 5.43 GiB 7.05 MiB 19 1,040 9.87 GiB 9.72 MiB 20 714 7.12 GiB 10.22 MiB 21 599 5.57 GiB 9.52 MiB 22 514 4.37 GiB 8.70 MiB 23 443 2.94 GiB 6.80 MiB Queries generating the most temporary files (N)
Rank Count Total size Min size Max size Avg size Query 1 2,530 16.96 GiB 3.46 MiB 18.09 MiB 6.86 MiB select * from ( select pricedatetime, open, high, low, close, volume, bsf from t0 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;-
SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T0 WHERE symbolid = $1 AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 23:00:52 Duration: 0ms Database: acaweb_fx User: postgres
2 886 6.86 GiB 5.84 MiB 9.78 MiB 7.93 MiB select resultuid from relevance_keylevels_results order by resultuid desc limit ?), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end), 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 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 (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 <= ?)), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid, identified desc, length desc ) select * from results order by identified desc, length desc;-
SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END), 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245)) AND ($246 = 0 OR p.patternname in ($247)) AND ($248 = 0 OR kr.patternclassid in ($249, $250)) AND ($251 = 0 OR kr.patternlengthbars <= $252)), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $253 OR relevant = 1) AND ($254 = 0 OR age <= $255) ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 23:00:07 Duration: 0ms Database: acaweb_fx User: postgres
3 753 37.96 GiB 1.76 KiB 11.11 GiB 51.63 MiB copy ( select array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ?) as broker_ids, string_to_array(coalesce(replace(broker_symbol_mappings, ?, ?), ?), ?) as broker_symbol_mappings, replace(exchange, ?, ?) as exchange, symbol_id, replace(symbol, ?, ?) as symbol, replace(short_name, ?, ?) as short_name, replace(long_name, ?, ?) as long_name, interval, replace(timezone, ?, ?) as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ?) as search_groups, string_to_array(pattern_basegroupnames, ?) as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results (?::character varying, current_timestamp::timestamp without time zone)) t) to ?;-
COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';
Date: 2022-03-31 13:17:38 Duration: 4m51s Database: acaweb_fx User: postgres
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COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';
Date: 2022-03-31 13:12:39 Duration: 4m50s Database: acaweb_fx User: postgres
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COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';
Date: 2022-03-31 13:07:41 Duration: 4m26s Database: acaweb_fx User: postgres
4 571 3.63 GiB 3.24 MiB 8.77 MiB 6.51 MiB select resultuid from relevance_fibonacci_results order by resultuid desc limit ?), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end), results as ( select distinct on (s.symbolid) fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? where fr.gmttimefound > now() - interval ? and dss.enabled = ? and (fr.simulation = ? or fr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or fr.pattern in (...)) and (? = ? or fr.patternlengthbars <= ?) and (? = ? or (? = ? and fr.timed > cast(? as timestamp)) or (? = ? and fr.timed < cast(? as timestamp))) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;-
SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), results AS ( SELECT DISTINCT ON (s.symbolid) fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4)) AND ($5 = 0 OR s.exchange in ($6)) AND ($7 = 0 OR s.symbol in ($8)) AND ($9 = 0 OR fr.pattern in ($10)) AND ($11 = 0 OR fr.patternlengthbars <= $12) AND ($13 = 0 OR ($14 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($15 = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = $16 OR relevant = 1) AND ($17 = 0 OR age <= $18) ORDER BY identified DESC, length DESC;
Date: 2022-03-31 23:01:41 Duration: 0ms Database: acaweb_fx User: postgres
5 510 793.29 MiB 561.99 KiB 2.61 MiB 1.56 MiB update patternresultsrelevance set resultuid = sub.resultuid from autochartist_results sub where patternresultsrelevance.type = ? and patternresultsrelevance.resultuid = sub.old_resultuid;-
update patternresultsrelevance set resultuid = sub.resultuid FROM autochartist_results sub where patternresultsrelevance.type = 0 and patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:56:49 Duration: 48s321ms Database: acaweb_fx_bigint User: postgres
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update patternresultsrelevance set resultuid = sub.resultuid FROM autochartist_results sub where patternresultsrelevance.type = 0 and patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:56:48 Duration: 0ms Database: acaweb_fx_bigint User: postgres
6 501 4.00 GiB 6.77 MiB 9.82 MiB 8.18 MiB select resultuid from relevance_keylevels_results order by resultuid desc limit ?), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;-
SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4)) AND ($5 = 0 OR s.exchange in ($6)) AND ($7 = 0 OR s.symbol in ($8)) AND ($9 = 0 OR p.patternname in ($10)) AND ($11 = 0 OR kr.patternclassid in ($12)) AND ($13 = 0 OR kr.patternlengthbars <= $14) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = $15 OR relevant = 1) AND ($16 = 0 OR age <= $17) ORDER BY identified DESC, length DESC;
Date: 2022-03-31 23:01:32 Duration: 0ms Database: acaweb_fx User: postgres
7 347 2.74 GiB 4.00 MiB 74.45 MiB 8.09 MiB )) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
)) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851409603749301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 23:04:51 Duration: 0ms Database: acaweb_fx User: postgres
8 280 2.59 GiB 9.11 MiB 9.80 MiB 9.47 MiB select resultuid from relevance_keylevels_results order by resultuid desc limit ?), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;-
SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR s.symbol in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322, $323, $324, $325, $326, $327, $328, $329, $330, $331, $332, $333, $334, $335, $336, $337, $338, $339, $340)) AND ($341 = 0 OR p.patternname in ($342)) AND ($343 = 0 OR kr.patternclassid in ($344, $345)) AND ($346 = 0 OR kr.patternlengthbars <= $347) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = $348 OR relevant = 1) AND ($349 = 0 OR age <= $350) ORDER BY identified DESC, length DESC;
Date: 2022-03-31 23:00:43 Duration: 0ms Database: acaweb_fx User: postgres
9 247 1.85 GiB 3.09 MiB 19.19 MiB 7.67 MiB ) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%cadchf%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851404923152301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 20:00:20 Duration: 0ms Database: acaweb_fx User: postgres
10 215 743.24 MiB 3.32 MiB 3.57 MiB 3.46 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, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join currencypips cps on cps.symbol = s.symbol 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 (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, identified desc, length desc ) 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, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN currencypips cps on cps.symbol = s.symbol 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 (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245)) AND ($246 = 0 OR fr.pattern in ($247)) AND ($248 = 0 OR fr.patternlengthbars <= $249) AND ($250 = 0 OR ($251 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($252 = 2 AND fr.timed < cast('1970-01-01' as timestamp)))), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $253 OR relevant = 1) AND ($254 = 0 OR age <= $255) ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 23:00:21 Duration: 0ms Database: acaweb_fx User: postgres
11 159 1.47 GiB 9.03 MiB 9.73 MiB 9.45 MiB select resultuid from relevance_keylevels_results order by resultuid desc limit ?), kr as ( select a.*, rr.age, rr.relevant from keylevels_results a left outer join relevance_keylevels_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_keylevels_results) end), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, 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 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 (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 <= ?) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;-
SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14)) AND ($15 = 0 OR p.patternname in ($16)) AND ($17 = 0 OR kr.patternclassid in ($18, $19)) AND ($20 = 0 OR kr.patternlengthbars <= $21) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = $22 OR relevant = 1) AND ($23 = 0 OR age <= $24) ORDER BY identified DESC, length DESC;
Date: 2022-03-31 23:25:56 Duration: 0ms Database: acaweb_fx User: postgres
12 149 2.60 GiB 2.08 MiB 161.94 MiB 17.84 MiB select fixcandlegaps (?, false);-
select fixcandlegaps ('XM', false);
Date: 2022-03-31 12:10:48 Duration: 1m42s Database: acaweb_fx User: postgres
-
select fixcandlegaps ('XM', false);
Date: 2022-03-31 11:09:31 Duration: 1m13s Database: acaweb_fx User: postgres
-
select fixcandlegaps ('LEGACYFXMT5', false);
Date: 2022-03-31 12:08:13 Duration: 1m3s Database: acaweb_fx User: postgres
13 146 530.86 MiB 3.50 MiB 3.77 MiB 3.64 MiB select resultuid from relevance_fibonacci_results order by resultuid desc limit ?), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end), results as ( select distinct on (s.symbolid) fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, 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, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid inner join symbols s on fr.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on fr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join downloadersymbolsettings dss on fr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left join currencypips cps on cps.symbol = s.symbol 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 (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))) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;-
SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), results AS ( SELECT DISTINCT ON (s.symbolid) fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, 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, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN currencypips cps on cps.symbol = s.symbol 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 (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)) AND ($15 = 0 OR fr.pattern in ($16)) AND ($17 = 0 OR fr.patternlengthbars <= $18) AND ($19 = 0 OR ($20 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($21 = 2 AND fr.timed < cast('1970-01-01' as timestamp))) ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = $22 OR relevant = 1) AND ($23 = 0 OR age <= $24) ORDER BY identified DESC, length DESC;
Date: 2022-03-31 23:26:11 Duration: 0ms Database: acaweb_fx User: postgres
14 137 1.34 GiB 2.05 MiB 26.28 MiB 10.05 MiB select stats_createsummarytables_keylevels (cast(? as bigint));-
select stats_createSummaryTables_KeyLevels (cast(515852059316569307 as bigint));
Date: 2022-03-31 14:01:42 Duration: 4s138ms Database: acaweb_fx User: postgres
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select stats_createSummaryTables_KeyLevels (cast(515852059313489307 as bigint));
Date: 2022-03-31 14:01:30 Duration: 4s82ms Database: acaweb_fx User: postgres
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select stats_createSummaryTables_KeyLevels (cast(515852059316569307 as bigint));
Date: 2022-03-31 14:04:19 Duration: 3s911ms Database: acaweb_fx User: postgres
15 134 1.32 GiB 2.79 MiB 38.48 MiB 10.11 MiB select stats_createsummarytables_chartpattens (cast(? as bigint));-
select stats_createSummaryTables_ChartPattens (cast(515852059314095307 as bigint));
Date: 2022-03-31 14:04:10 Duration: 2s486ms Database: acaweb_fx User: postgres
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select stats_createSummaryTables_ChartPattens (cast(515852059329766307 as bigint));
Date: 2022-03-31 14:04:55 Duration: 2s416ms Database: acaweb_fx User: postgres
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select stats_createSummaryTables_ChartPattens (cast(515852059330454307 as bigint));
Date: 2022-03-31 14:04:57 Duration: 2s387ms Database: acaweb_fx User: postgres
16 133 675.57 MiB 4.20 MiB 8.20 MiB 5.08 MiB select distinct a.symbolid, p.resultuid, case when a.breakout >= ? then ? else ? end as type, a.resultid, a.bandwidth, a.patternlengthbars, a.patternendtime, a.resy0, a.supporty0, a.resy1, a.supporty1, a.direction, a.predictionpriceto, a.patternendprice, a.predictionpricefrom, a.resx0, a.supportx0, a.resgradient, a.supportgradient from relevance_autochartist_results p inner join autochartist_results a on p.resultuid = a.resultuid inner join autochartist_stocklist asl on a.symbolid = asl.symbolid where asl.enabled = ? and asl.recognitionengine ilike ?;-
SELECT distinct a.symbolid, p.resultuid, case when a.breakout >= 0 then 1 else 2 end as type, a.resultid, a.bandwidth, a.patternlengthbars, a.patternendtime, a.resy0, a.supporty0, a.resy1, a.supporty1, a.direction, a.predictionpriceto, a.patternendprice, a.predictionpricefrom, a.resx0, a.supportx0, a.resgradient, a.supportgradient FROM relevance_autochartist_results p INNER JOIN autochartist_results a ON p.resultuid = a.resultuid INNER JOIN autochartist_stocklist asl ON a.symbolid = asl.symbolid WHERE asl.enabled = 1 AND asl.recognitionengine ILIKE 'XM - 1';
Date: 2022-03-31 09:18:27 Duration: 935ms Database: acaweb_fx User: postgres
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SELECT distinct a.symbolid, p.resultuid, case when a.breakout >= 0 then 1 else 2 end as type, a.resultid, a.bandwidth, a.patternlengthbars, a.patternendtime, a.resy0, a.supporty0, a.resy1, a.supporty1, a.direction, a.predictionpriceto, a.patternendprice, a.predictionpricefrom, a.resx0, a.supportx0, a.resgradient, a.supportgradient FROM relevance_autochartist_results p INNER JOIN autochartist_results a ON p.resultuid = a.resultuid INNER JOIN autochartist_stocklist asl ON a.symbolid = asl.symbolid WHERE asl.enabled = 1 AND asl.recognitionengine ILIKE 'LEGACYFXMT5 - 1';
Date: 2022-03-31 00:06:12 Duration: 890ms Database: acaweb_fx User: postgres
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SELECT distinct a.symbolid, p.resultuid, case when a.breakout >= 0 then 1 else 2 end as type, a.resultid, a.bandwidth, a.patternlengthbars, a.patternendtime, a.resy0, a.supporty0, a.resy1, a.supporty1, a.direction, a.predictionpriceto, a.patternendprice, a.predictionpricefrom, a.resx0, a.supportx0, a.resgradient, a.supportgradient FROM relevance_autochartist_results p INNER JOIN autochartist_results a ON p.resultuid = a.resultuid INNER JOIN autochartist_stocklist asl ON a.symbolid = asl.symbolid WHERE asl.enabled = 1 AND asl.recognitionengine ILIKE 'AKFX - 2';
Date: 2022-03-31 02:18:23 Duration: 764ms Database: acaweb_fx User: postgres
17 126 565.05 MiB 1.91 MiB 7.17 MiB 4.48 MiB update patternresultsrelevance set resultuid = sub.resultuid from keylevels_results sub where patternresultsrelevance.type = ? and patternresultsrelevance.resultuid = sub.old_resultuid;-
update patternresultsrelevance set resultuid = sub.resultuid FROM keylevels_results sub where patternresultsrelevance.type = 2 and patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:57:30 Duration: 34s498ms Database: acaweb_fx_bigint User: postgres
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update patternresultsrelevance set resultuid = sub.resultuid FROM keylevels_results sub where patternresultsrelevance.type = 2 and patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:57:29 Duration: 0ms Database: acaweb_fx_bigint User: postgres
18 126 284.17 MiB 2.23 MiB 2.27 MiB 2.26 MiB update patternresultsage set resultuid = sub.resultuid from autochartist_results sub where patternresultsage.type = ? and patternresultsage.resultuid = sub.old_resultuid;-
update patternresultsage set resultuid = sub.resultuid FROM autochartist_results sub where patternresultsage.type = 0 and patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:55:01 Duration: 1m18s Database: acaweb_fx_bigint User: postgres
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update patternresultsage set resultuid = sub.resultuid FROM autochartist_results sub where patternresultsage.type = 0 and patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:55:01 Duration: 0ms Database: acaweb_fx_bigint User: postgres
19 126 242.16 MiB 1.90 MiB 1.95 MiB 1.92 MiB update patternresultsage set resultuid = sub.resultuid from keylevels_results sub where patternresultsage.type = ? and patternresultsage.resultuid = sub.old_resultuid;-
update patternresultsage set resultuid = sub.resultuid FROM keylevels_results sub where patternresultsage.type = 2 and patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:56:00 Duration: 53s848ms Database: acaweb_fx_bigint User: postgres
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update patternresultsage set resultuid = sub.resultuid FROM keylevels_results sub where patternresultsage.type = 2 and patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:55:59 Duration: 0ms Database: acaweb_fx_bigint User: postgres
20 95 4.29 GiB 4.20 MiB 214.68 MiB 46.22 MiB )) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
)) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 22:04:09 Duration: 0ms Database: acaweb_fx User: postgres
21 82 278.48 MiB 3.24 MiB 5.59 MiB 3.40 MiB select resultuid from relevance_autochartist_results order by resultuid desc limit ?), ar as ( select a.*, rr.age, rr.relevant from autochartist_results a left outer join relevance_autochartist_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_autochartist_results) end), results as ( select distinct on (s.symbolid) ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? 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 currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true where ar.gmttimefound > now() - interval ? and dss.enabled = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or 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 order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;-
SELECT resultuid FROM relevance_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), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = $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 currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR s.symbol in ($14)) AND ($15 = 0 OR ar.pattern in ($16)) AND ($17 = 0 OR ($18 = 1 AND ar.breakout >= 0) OR ($19 = 2 AND ar.breakout < 0)) AND ($20 = 0 OR ar.patternlengthbars <= $21) and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = $22 OR relevant = 1) AND ($23 = 0 OR age <= $24) ORDER BY identified DESC, length DESC;
Date: 2022-03-31 18:19:36 Duration: 0ms Database: acaweb_fx User: postgres
22 67 140.64 MiB 27.39 KiB 8.81 MiB 2.10 MiB select distinct a.resultuid, a.breakoutbars, a.patternid, cast(a.x0 as timestamp) as x0, cast(a.x1 as timestamp) as x1, cast(x2 as timestamp) as x2, case when (x3 != ? and x3 != ?) then cast(x3 as timestamp) else cast(? as timestamp) end as x3, case when (x4 != ? and x4 != ?) then cast(x4 as timestamp) else cast(? as timestamp) end as x4, case when (x5 != ? and x5 != ?) then cast(x5 as timestamp) else cast(? as timestamp) end as x5, case when (x6 != ? and x6 != ?) then cast(x6 as timestamp) else cast(? as timestamp) end as x6, case when (x7 != ? and x7 != ?) then cast(x7 as timestamp) else cast(? as timestamp) end as x7, case when (x8 != ? and x8 != ?) then cast(x8 as timestamp) else cast(? as timestamp) end as x8, case when (x9 != ? and x9 != ?) then cast(x9 as timestamp) else cast(? as timestamp) end as x9, cast(a.atbaridentified as timestamp) as atbaridentified, cast(a.patternstarttime as timestamp) as patternstarttime, a.breakoutprice, a.symbolid, a.approachingregion, a.patternprice, a.errormargin, a.bandwidth, a.qtytp, a.patternlengthbars, a.symbolid, a.uniquepointsvalue, a.predictionpricefrom, a.predictionpriceto, a.breakout, a.direction, a.furthestprice, a.approachingtimestamp, a.atpriceidentified from keylevels_results a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid left outer join relevance_keylevels_results rkl on a.resultuid = rkl.resultuid where aus.enabled = ? and (rkl.relevant = ? or a.resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)) and aus.recognitionengine ilike ?;-
SELECT DISTINCT a.resultuid, a.breakoutbars, a.patternid, CAST(a.x0 as timestamp) as x0, CAST(a.x1 as timestamp) as x1, CAST(x2 as timestamp) as x2, CASE WHEN (x3 != '' and x3 != '0') THEN CAST(x3 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x3, CASE WHEN (x4 != '' and x4 != '0') THEN CAST(x4 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x4, CASE WHEN (x5 != '' and x5 != '0') THEN CAST(x5 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x5, CASE WHEN (x6 != '' and x6 != '0') THEN CAST(x6 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x6, CASE WHEN (x7 != '' and x7 != '0') THEN CAST(x7 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x7, CASE WHEN (x8 != '' and x8 != '0') THEN CAST(x8 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x8, CASE WHEN (x9 != '' and x9 != '0') THEN CAST(x9 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x9, CAST(a.atbaridentified as timestamp) as atbaridentified, CAST(a.patternstarttime as timestamp) as patternstarttime, a.breakoutprice, a.symbolid, a.approachingregion, a.patternprice, a.errorMargin, a.bandwidth, a.qtytp, a.patternlengthbars, a.symbolid, a.uniquepointsvalue, a.predictionpricefrom, a.predictionpriceto, a.breakout, a.direction, a.furthestPrice, a.approachingtimestamp, a.atPriceIdentified FROM keylevels_results a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid LEFT OUTER JOIN relevance_keylevels_results rkl on a.resultuid = rkl.resultuid WHERE aus.Enabled = 1 AND (rkl.relevant = 1 OR a.resultuid > ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) AND aus.RecognitionEngine ILIKE 'atfx - 1';
Date: 2022-03-31 14:06:03 Duration: 1s588ms Database: acaweb_fx User: postgres
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SELECT DISTINCT a.resultuid, a.breakoutbars, a.patternid, CAST(a.x0 as timestamp) as x0, CAST(a.x1 as timestamp) as x1, CAST(x2 as timestamp) as x2, CASE WHEN (x3 != '' and x3 != '0') THEN CAST(x3 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x3, CASE WHEN (x4 != '' and x4 != '0') THEN CAST(x4 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x4, CASE WHEN (x5 != '' and x5 != '0') THEN CAST(x5 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x5, CASE WHEN (x6 != '' and x6 != '0') THEN CAST(x6 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x6, CASE WHEN (x7 != '' and x7 != '0') THEN CAST(x7 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x7, CASE WHEN (x8 != '' and x8 != '0') THEN CAST(x8 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x8, CASE WHEN (x9 != '' and x9 != '0') THEN CAST(x9 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x9, CAST(a.atbaridentified as timestamp) as atbaridentified, CAST(a.patternstarttime as timestamp) as patternstarttime, a.breakoutprice, a.symbolid, a.approachingregion, a.patternprice, a.errorMargin, a.bandwidth, a.qtytp, a.patternlengthbars, a.symbolid, a.uniquepointsvalue, a.predictionpricefrom, a.predictionpriceto, a.breakout, a.direction, a.furthestPrice, a.approachingtimestamp, a.atPriceIdentified FROM keylevels_results a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid LEFT OUTER JOIN relevance_keylevels_results rkl on a.resultuid = rkl.resultuid WHERE aus.Enabled = 1 AND (rkl.relevant = 1 OR a.resultuid > ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) AND aus.RecognitionEngine ILIKE 'axiory - 1';
Date: 2022-03-31 14:06:00 Duration: 184ms Database: acaweb_fx User: postgres
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SELECT DISTINCT a.resultuid, a.breakoutbars, a.patternid, CAST(a.x0 as timestamp) as x0, CAST(a.x1 as timestamp) as x1, CAST(x2 as timestamp) as x2, CASE WHEN (x3 != '' and x3 != '0') THEN CAST(x3 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x3, CASE WHEN (x4 != '' and x4 != '0') THEN CAST(x4 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x4, CASE WHEN (x5 != '' and x5 != '0') THEN CAST(x5 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x5, CASE WHEN (x6 != '' and x6 != '0') THEN CAST(x6 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x6, CASE WHEN (x7 != '' and x7 != '0') THEN CAST(x7 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x7, CASE WHEN (x8 != '' and x8 != '0') THEN CAST(x8 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x8, CASE WHEN (x9 != '' and x9 != '0') THEN CAST(x9 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x9, CAST(a.atbaridentified as timestamp) as atbaridentified, CAST(a.patternstarttime as timestamp) as patternstarttime, a.breakoutprice, a.symbolid, a.approachingregion, a.patternprice, a.errorMargin, a.bandwidth, a.qtytp, a.patternlengthbars, a.symbolid, a.uniquepointsvalue, a.predictionpricefrom, a.predictionpriceto, a.breakout, a.direction, a.furthestPrice, a.approachingtimestamp, a.atPriceIdentified FROM keylevels_results a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid LEFT OUTER JOIN relevance_keylevels_results rkl on a.resultuid = rkl.resultuid WHERE aus.Enabled = 1 AND (rkl.relevant = 1 OR a.resultuid > ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) AND aus.RecognitionEngine ILIKE 'xm - 1';
Date: 2022-03-31 14:12:44 Duration: 159ms Database: acaweb_fx User: postgres
23 39 297.70 MiB 3.18 MiB 13.94 MiB 7.63 MiB when ? then ? when ? then ? when ? then ? when ? then ? when ? then ? end)) order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 20:01:43 Duration: 0ms Database: acaweb_fx User: postgres
24 36 334.69 MiB 9.30 MiB 9.30 MiB 9.30 MiB with a as ( select *, row_number() over (partition by symbolid, direction order by datetime desc) r from sa_hist_consecutivecandles ) select distinct a.symbolid, a.qty, a.percentile, a.direction from a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid where aus.enabled = ? and a.r = ? and aus.recognitionengine ilike ?;-
WITH a AS ( SELECT *, row_number() OVER (PARTITION BY symbolid, direction ORDER BY datetime DESC) r FROM sa_hist_consecutivecandles ) SELECT DISTINCT a.symbolid, a.qty, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'ADSSECURITIES - 1';
Date: 2022-03-31 14:03:28 Duration: 507ms Database: acaweb_fx User: postgres
-
WITH a AS ( SELECT *, row_number() OVER (PARTITION BY symbolid, direction ORDER BY datetime DESC) r FROM sa_hist_consecutivecandles ) SELECT DISTINCT a.symbolid, a.qty, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'ALBForex - 1';
Date: 2022-03-31 14:04:08 Duration: 402ms Database: acaweb_fx User: postgres
-
WITH a AS ( SELECT *, row_number() OVER (PARTITION BY symbolid, direction ORDER BY datetime DESC) r FROM sa_hist_consecutivecandles ) SELECT DISTINCT a.symbolid, a.qty, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'BMFN - 1';
Date: 2022-03-31 16:00:20 Duration: 401ms Database: acaweb_fx User: postgres
25 27 224.47 MiB 4.16 MiB 10.21 MiB 8.31 MiB ) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? and ((rar.age is null and a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)) or rar.age >= ( case c.timegranularity when ? then ? when ? then ? when ? then ? when ? then ? when ? then ? end)) order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
) OR ((c.symbol ilike '%audchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audnzd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurgbp%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdcad%' AND timegranularity <= 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= ( case c.timegranularity when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 23:44:54 Duration: 0ms Database: acaweb_fx User: postgres
26 19 136.62 MiB 3.91 MiB 11.31 MiB 7.19 MiB ) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
) OR ((c.symbol ilike '%audchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audnzd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurgbp%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdcad%' AND timegranularity <= 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 18:58:59 Duration: 0ms Database: acaweb_fx User: postgres
27 17 142.60 MiB 2.76 MiB 16.37 MiB 8.39 MiB select distinct a.resultuid, a.resultid, a.patternlengthbars, a.patternendtime, a.predictionpriceto, a.predictionpricefrom, a.direction, a.breakout, a.bandwidth, a.resy0, a.resy1, a.supporty0, a.supporty1, a.resx0, a.resx1, a.supportx0, a.supportx1, a.patternendprice, a.symbolid, a.resgradient, a.supportgradient, a.pattern from autochartist_results a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid left outer join relevance_autochartist_results rev on a.resultuid = rev.resultuid where aus.enabled = ? and (rev.relevant = ? or a.resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?)) and aus.recognitionengine ilike ?;-
SELECT DISTINCT a.resultuid, a.resultid, a.patternlengthbars, a.patternendtime, a.predictionpriceto, a.predictionpricefrom, a.direction, a.breakout, a.bandwidth, a.resy0, a.resy1, a.supporty0, a.supporty1, a.resx0, a.resx1, a.supportx0, a.supportx1, a.patternendprice, a.symbolid, a.resgradient, a.supportgradient, a.pattern FROM autochartist_results a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid LEFT OUTER JOIN relevance_autochartist_results rev on a.resultuid = rev.resultuid WHERE aus.Enabled = 1 AND (rev.relevant = 1 OR a.resultuid > ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1)) AND aus.RecognitionEngine ILIKE 'atfx - 1';
Date: 2022-03-31 14:05:55 Duration: 9s79ms Database: acaweb_fx User: postgres
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SELECT DISTINCT a.resultuid, a.resultid, a.patternlengthbars, a.patternendtime, a.predictionpriceto, a.predictionpricefrom, a.direction, a.breakout, a.bandwidth, a.resy0, a.resy1, a.supporty0, a.supporty1, a.resx0, a.resx1, a.supportx0, a.supportx1, a.patternendprice, a.symbolid, a.resgradient, a.supportgradient, a.pattern FROM autochartist_results a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid LEFT OUTER JOIN relevance_autochartist_results rev on a.resultuid = rev.resultuid WHERE aus.Enabled = 1 AND (rev.relevant = 1 OR a.resultuid > ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1)) AND aus.RecognitionEngine ILIKE 'adssecurities - 1';
Date: 2022-03-31 14:03:25 Duration: 3s866ms Database: acaweb_fx User: postgres
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SELECT DISTINCT a.resultuid, a.resultid, a.patternlengthbars, a.patternendtime, a.predictionpriceto, a.predictionpricefrom, a.direction, a.breakout, a.bandwidth, a.resy0, a.resy1, a.supporty0, a.supporty1, a.resx0, a.resx1, a.supportx0, a.supportx1, a.patternendprice, a.symbolid, a.resgradient, a.supportgradient, a.pattern FROM autochartist_results a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid LEFT OUTER JOIN relevance_autochartist_results rev on a.resultuid = rev.resultuid WHERE aus.Enabled = 1 AND (rev.relevant = 1 OR a.resultuid > ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1)) AND aus.RecognitionEngine ILIKE 'albforex - 1';
Date: 2022-03-31 14:04:07 Duration: 1s738ms Database: acaweb_fx User: postgres
28 14 29.53 MiB 2.09 MiB 2.12 MiB 2.11 MiB update patternresultsage set resultuid = sub.resultuid from fibonacci_results sub where patternresultsage.type = ? and patternresultsage.resultuid = sub.old_resultuid;-
update patternresultsage set resultuid = sub.resultuid FROM fibonacci_results sub where patternresultsage.type = 1 and patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:55:06 Duration: 4s366ms Database: acaweb_fx_bigint User: postgres
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update patternresultsage set resultuid = sub.resultuid FROM fibonacci_results sub where patternresultsage.type = 1 and patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:55:06 Duration: 0ms Database: acaweb_fx_bigint User: postgres
29 14 112.09 MiB 2.10 MiB 13.96 MiB 8.01 MiB update patternresultsrelevance set resultuid = sub.resultuid from fibonacci_results sub where patternresultsrelevance.type = ? and patternresultsrelevance.resultuid = sub.old_resultuid;-
update patternresultsrelevance set resultuid = sub.resultuid FROM fibonacci_results sub where patternresultsrelevance.type = 1 and patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:56:56 Duration: 6s436ms Database: acaweb_fx_bigint User: postgres
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update patternresultsrelevance set resultuid = sub.resultuid FROM fibonacci_results sub where patternresultsrelevance.type = 1 and patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:56:56 Duration: 0ms Database: acaweb_fx_bigint User: postgres
30 14 143.91 MiB 8.10 MiB 12.73 MiB 10.28 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%audchf%' AND timegranularity = 1440)) OR ((s.symbol ilike '%audjpy%' AND timegranularity = 1440)) OR ((s.symbol ilike '%audnzd%' AND timegranularity = 1440)) OR ((s.symbol ilike '%audusd%' AND timegranularity = 1440)) OR ((s.symbol ilike '%audcad%' AND timegranularity = 240)) OR ((s.symbol ilike '%gbpaud%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 577732363 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 12:37:12 Duration: 0ms Database: acaweb_fx User: postgres
31 12 107.52 MiB 4.74 MiB 14.21 MiB 8.96 MiB ) or ((s.symbol ilike ? and timegranularity <= ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%eurgbp%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851407254185301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 16:01:24 Duration: 0ms Database: acaweb_fx User: postgres
32 10 124.84 MiB 8.00 KiB 28.68 MiB 12.48 MiB alter table only public.t30 add constraint pk_t30 primary key (pricedatetime, symbolid);-
ALTER TABLE ONLY public.t30 ADD CONSTRAINT pk_t30 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 10:05:01 Duration: 0ms Database: acaweb_fx_bigint User: postgres
33 10 302.41 MiB 8.00 KiB 66.41 MiB 30.24 MiB alter table only public.autochartist_results add constraint idx_firstemerging_chartpattern unique (breakout, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, symbolid);-
ALTER TABLE ONLY public.autochartist_results ADD CONSTRAINT idx_firstemerging_chartpattern UNIQUE (breakout, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, symbolid);
Date: 2022-03-31 09:55:29 Duration: 0ms Database: acaweb_fx_bigint User: postgres
34 10 56.07 MiB 8.00 KiB 12.53 MiB 5.61 MiB alter table keylevels_results add constraint pk_keylevels_results primary key (resultuid);-
ALTER TABLE keylevels_results ADD CONSTRAINT pk_keylevels_results PRIMARY KEY (resultuid);
Date: 2022-03-31 12:04:48 Duration: 2s136ms Database: acaweb_fx_bigint User: postgres
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ALTER TABLE keylevels_results ADD CONSTRAINT pk_keylevels_results PRIMARY KEY (resultuid);
Date: 2022-03-31 12:04:48 Duration: 0ms Database: acaweb_fx_bigint User: postgres
35 10 78.04 MiB 8.00 KiB 19.18 MiB 7.80 MiB alter table only public.t240 add constraint pk_t240_1 primary key (pricedatetime, symbolid);-
ALTER TABLE ONLY public.t240 ADD CONSTRAINT pk_t240_1 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 10:05:29 Duration: 0ms Database: acaweb_fx_bigint User: postgres
36 10 313.74 MiB 8.00 KiB 73.41 MiB 31.37 MiB alter table autochartist_results add constraint pk_autochartist_results primary key (resultid);-
ALTER TABLE autochartist_results ADD CONSTRAINT pk_autochartist_results PRIMARY KEY (resultid);
Date: 2022-03-31 12:02:41 Duration: 13s682ms Database: acaweb_fx_bigint User: postgres
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ALTER TABLE autochartist_results ADD CONSTRAINT pk_autochartist_results PRIMARY KEY (resultid);
Date: 2022-03-31 12:02:41 Duration: 0ms Database: acaweb_fx_bigint User: postgres
37 10 191.55 MiB 8.00 KiB 52.16 MiB 19.15 MiB alter table only public.t15 add constraint pk_t15 primary key (pricedatetime, symbolid);-
ALTER TABLE ONLY public.t15 ADD CONSTRAINT pk_t15 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 10:04:37 Duration: 0ms Database: acaweb_fx_bigint User: postgres
38 10 99.42 MiB 8.00 KiB 22.76 MiB 9.94 MiB alter table only public.t60 add constraint pk_t60 primary key (pricedatetime, symbolid);-
ALTER TABLE ONLY public.t60 ADD CONSTRAINT pk_t60 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 10:05:28 Duration: 0ms Database: acaweb_fx_bigint User: postgres
39 10 260.65 MiB 8.00 KiB 53.97 MiB 26.06 MiB alter table only public.t15_hve add constraint pk_t15_hve primary key (pricedatetime, symbolid);-
ALTER TABLE ONLY public.t15_hve ADD CONSTRAINT pk_t15_hve PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 10:01:40 Duration: 0ms Database: acaweb_fx_bigint User: postgres
40 10 182.31 MiB 8.00 KiB 41.66 MiB 18.23 MiB alter table only public.patternresultsage add constraint pk_pattresultsage_ruid_type primary key (resultuid, type);-
ALTER TABLE ONLY public.patternresultsage ADD CONSTRAINT pk_pattresultsage_ruid_type PRIMARY KEY (resultuid, type);
Date: 2022-03-31 10:05:42 Duration: 0ms Database: acaweb_fx_bigint User: postgres
41 10 46.41 MiB 8.00 KiB 10.26 MiB 4.64 MiB alter table only public.filters add constraint pk_filters unique (id);-
ALTER TABLE ONLY public.filters ADD CONSTRAINT pk_filters UNIQUE (id);
Date: 2022-03-31 10:05:48 Duration: 0ms Database: acaweb_fx_bigint User: postgres
42 10 313.75 MiB 8.00 KiB 73.25 MiB 31.38 MiB alter table only public.autochartist_results add constraint pk_autochartist_results primary key (resultid);-
ALTER TABLE ONLY public.autochartist_results ADD CONSTRAINT pk_autochartist_results PRIMARY KEY (resultid);
Date: 2022-03-31 09:55:49 Duration: 0ms Database: acaweb_fx_bigint User: postgres
43 10 117.29 MiB 4.84 MiB 14.21 MiB 11.73 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%xauusd%' AND timegranularity = 30)) OR ((s.symbol ilike '%xauusd%' AND timegranularity = 60)) OR ((s.symbol ilike '%xaueur%' AND timegranularity = 60)) OR ((s.symbol ilike '%xaueur%' AND timegranularity = 15)) OR ((s.symbol ilike '%xaueur%' AND timegranularity = 30))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 19:24:40 Duration: 0ms Database: acaweb_fx User: postgres
44 8 49.32 MiB 8.00 KiB 16.36 MiB 6.17 MiB alter table only public.fibonacci_results add constraint ix_fibonacci_unique unique (pattern, direction, patternstarttime, patternstartprice, qtytp, patternlengthbars, ratiosfound, temporarypattern, symbolid, timex, timea, timeb, timec, timed);-
ALTER TABLE ONLY public.fibonacci_results ADD CONSTRAINT ix_fibonacci_unique UNIQUE (pattern, direction, patternstarttime, patternstartprice, qtytp, patternlengthbars, ratiosfound, temporarypattern, symbolid, timex, timea, timeb, timec, timed);
Date: 2022-03-31 10:05:29 Duration: 0ms Database: acaweb_fx_bigint User: postgres
45 8 20.13 MiB 2.17 MiB 4.69 MiB 2.52 MiB with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then ? else ? end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then ? else ? end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike ? inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike ?) sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike ?; update solr_relevance_old set newrelevant = ? where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike ? and a.resultuid is null); update solr_relevance_old set new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total from ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total from whatshot_probability where type in (...)) sub where result_uid = sub.resultuid;-
with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid;
Date: 2022-03-31 02:26:29 Duration: 16s490ms Database: acaweb_fx User: postgres
-
with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid;
Date: 2022-03-31 01:50:28 Duration: 15s520ms Database: acaweb_fx User: postgres
-
with max_ra as ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1) update solr_relevance_old set newrelevant = sub.relevant, newage = sub.age from ( select so.uuid, case when ra.relevant is not null then ra.relevant when so.result_uid < max_ra.resultuid then 0 else 1 end as relevant, case when ra.age is not null then ra.age when so.result_uid < max_ra.resultuid then 11 else 0 end as age, so.result_uid from max_ra, solr_relevance_old so inner join keylevels_results k on so.result_uid = k.resultuid and so.uuid ilike 'kl_%' inner join downloadersymbolsettings dss on k.symbolid = dss.symbolid left outer join relevance_keylevels_results ra on so.result_uid = ra.resultuid and so.uuid ilike 'kl_%') sub where solr_relevance_old.result_uid = sub.result_uid and solr_relevance_old.uuid ilike 'kl_%'; update solr_relevance_old set newrelevant = 0 where result_uid in ( select result_uid from solr_relevance_old s left outer join keylevels_results a on a.resultuid = s.result_uid where s.uuid ilike 'kl_%' and a.resultuid is null); UPDATE solr_relevance_old SET new_hod_correct = sub.hod_correct, new_hod_percent = sub.hod_percent, new_hod_total = sub.hod_total, new_pattern_correct = sub.pattern_correct, new_pattern_percent = sub.pattern_percent, new_pattern_total = sub.pattern_total, new_percent = sub.percent, new_symbol_correct = sub.symbol_correct, new_symbol_percent = sub.symbol_percent, new_symbol_total = sub.symbol_total FROM ( select distinct resultuid, hod_correct, hod_percent, hod_total, hod, pattern_correct, pattern_percent, pattern_total, percent, symbol_correct, symbol_percent, symbol_total FROM whatshot_probability WHERE type in ('kl', 'ekl')) sub WHERE result_uid = sub.resultuid;
Date: 2022-03-31 03:03:17 Duration: 3s286ms Database: acaweb_fx User: postgres
46 8 425.36 MiB 8.00 KiB 107.19 MiB 53.17 MiB alter table only public.t30_ps add constraint pk_t30_ps primary key (pricedatetime, symbolid);-
ALTER TABLE ONLY public.t30_ps ADD CONSTRAINT pk_t30_ps PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 10:02:00 Duration: 0ms Database: acaweb_fx_bigint User: postgres
47 8 155.25 MiB 8.00 KiB 44.59 MiB 19.41 MiB alter table only public.stats_success add constraint idx_resultuidtype unique (resultuid, type);-
ALTER TABLE ONLY public.stats_success ADD CONSTRAINT idx_resultuidtype UNIQUE (resultuid, type);
Date: 2022-03-31 10:04:43 Duration: 0ms Database: acaweb_fx_bigint User: postgres
48 8 28.91 MiB 8.00 KiB 8.09 MiB 3.61 MiB alter table only public.t1440 add constraint pk_t1440_1 primary key (pricedatetime, symbolid);-
ALTER TABLE ONLY public.t1440 ADD CONSTRAINT pk_t1440_1 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 10:05:47 Duration: 0ms Database: acaweb_fx_bigint User: postgres
49 8 4.87 MiB 8.00 KiB 1.68 MiB 623.00 KiB alter table only public.fibsearches add constraint pk_fibsearches primary key (id);-
ALTER TABLE ONLY public.fibsearches ADD CONSTRAINT pk_fibsearches PRIMARY KEY (id);
Date: 2022-03-31 10:06:06 Duration: 0ms Database: acaweb_fx_bigint User: postgres
50 8 219.69 MiB 8.00 KiB 64.34 MiB 27.46 MiB alter table only public.t60_ps add constraint pk_t60_ps primary key (pricedatetime, symbolid);-
ALTER TABLE ONLY public.t60_ps ADD CONSTRAINT pk_t60_ps PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 10:04:37 Duration: 0ms Database: acaweb_fx_bigint User: postgres
51 8 182.53 MiB 8.00 KiB 47.77 MiB 22.82 MiB alter table only public.powerstats_trumpet_test add constraint pk_powerstats_trumpet_test primary key (symbolid, dayofweek, fromtime, enddate);-
ALTER TABLE ONLY public.powerstats_trumpet_test ADD CONSTRAINT pk_powerstats_trumpet_test PRIMARY KEY (symbolid, dayofweek, fromtime, enddate);
Date: 2022-03-31 09:59:27 Duration: 0ms Database: acaweb_fx_bigint User: postgres
52 8 56.06 MiB 8.00 KiB 14.80 MiB 7.01 MiB alter table only public.keylevels_results add constraint pk_keylevels_results primary key (resultuid);-
ALTER TABLE ONLY public.keylevels_results ADD CONSTRAINT pk_keylevels_results PRIMARY KEY (resultuid);
Date: 2022-03-31 10:03:04 Duration: 0ms Database: acaweb_fx_bigint User: postgres
53 8 10.74 MiB 8.00 KiB 3.53 MiB 1.34 MiB alter table only public.cpsearches add constraint pk_cpsearches primary key (id);-
ALTER TABLE ONLY public.cpsearches ADD CONSTRAINT pk_cpsearches PRIMARY KEY (id);
Date: 2022-03-31 10:06:03 Duration: 0ms Database: acaweb_fx_bigint User: postgres
54 7 37.66 MiB 3.99 MiB 8.31 MiB 5.38 MiB )) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? and ((rar.age is null and a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?)) or rar.age >= ?) order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
)) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.7 AND initialtrend >= 0.0 AND symmetry >= 0.5 AND noise <= 0.5 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 61319 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851386705987301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= 1) ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 16:14:21 Duration: 0ms Database: acaweb_fx User: postgres
55 7 464.49 MiB 1.35 MiB 329.26 MiB 66.36 MiB select stats_populatestatssuccess_keylevels (vgetint (?));-
select stats_populatestatssuccess_keylevels (vGetInt ('stats_latestresultuid_kl'));
Date: 2022-03-31 09:11:17 Duration: 37s505ms Database: acaweb_fx User: postgres
-
select stats_populatestatssuccess_keylevels (vGetInt ('stats_latestresultuid_kl'));
Date: 2022-03-31 14:03:37 Duration: 31s660ms Database: acaweb_fx User: postgres
-
select stats_populatestatssuccess_keylevels (vGetInt ('stats_latestresultuid_kl'));
Date: 2022-03-31 14:00:57 Duration: 31s427ms Database: acaweb_fx User: postgres
56 6 6.12 MiB 8.00 KiB 2.20 MiB 1.02 MiB alter table only public.researchreports add constraint pk_researchreports primary key (researchreportid);-
ALTER TABLE ONLY public.researchreports ADD CONSTRAINT pk_researchreports PRIMARY KEY (researchreportid);
Date: 2022-03-31 09:53:24 Duration: 0ms Database: acaweb_fx_bigint User: postgres
57 6 32.48 MiB 5.05 MiB 5.85 MiB 5.41 MiB ) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
) OR ((c.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audnzd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audsgd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurgbp%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%us500%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nas100%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%us30%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%uk100%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%xauusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%spotcrude%' AND timegranularity <= 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 18:04:25 Duration: 0ms Database: acaweb_fx User: postgres
58 6 2.37 MiB 8.00 KiB 1.28 MiB 404.00 KiB alter table only public.hrssearches add constraint pk_hrsssearches primary key (id);-
ALTER TABLE ONLY public.hrssearches ADD CONSTRAINT pk_hrsssearches PRIMARY KEY (id);
Date: 2022-03-31 10:06:08 Duration: 0ms Database: acaweb_fx_bigint User: postgres
59 6 14.41 MiB 8.00 KiB 5.03 MiB 2.40 MiB alter table only public.stats_summary_2d add constraint idx_stats_summary_2d_primary primary key (statsid, category1, category2, name1, name2);-
ALTER TABLE ONLY public.stats_summary_2d ADD CONSTRAINT idx_stats_summary_2d_primary PRIMARY KEY (statsid, category1, category2, name1, name2);
Date: 2022-03-31 10:05:52 Duration: 0ms Database: acaweb_fx_bigint User: postgres
60 6 15.87 MiB 8.00 KiB 5.88 MiB 2.64 MiB create unique index idx_uniq_mt4datafeederrors_des on public.mt4datafeederrors using btree (datafeedname, eventtimestamp, status);-
CREATE UNIQUE INDEX idx_uniq_mt4datafeederrors_des ON public.mt4datafeederrors USING btree (datafeedname, eventtimestamp, status);
Date: 2022-03-31 10:05:58 Duration: 0ms Database: acaweb_fx_bigint User: postgres
61 6 16.91 MiB 8.00 KiB 6.10 MiB 2.82 MiB alter table only public.users add constraint pk_logininfonew primary key (username, clientid, brokerid);-
ALTER TABLE ONLY public.users ADD CONSTRAINT pk_logininfonew PRIMARY KEY (username, clientid, brokerid);
Date: 2022-03-31 10:05:50 Duration: 0ms Database: acaweb_fx_bigint User: postgres
62 6 7.54 MiB 8.00 KiB 3.33 MiB 1.26 MiB alter table only public.mt4datafeederrors add constraint prvyk_mt4datafeederrors primary key (id);-
ALTER TABLE ONLY public.mt4datafeederrors ADD CONSTRAINT prvyk_mt4datafeederrors PRIMARY KEY (id);
Date: 2022-03-31 10:06:00 Duration: 0ms Database: acaweb_fx_bigint User: postgres
63 6 8.95 MiB 8.00 KiB 3.09 MiB 1.49 MiB alter table only public.users add constraint idx_users_userid unique (userid);-
ALTER TABLE ONLY public.users ADD CONSTRAINT idx_users_userid UNIQUE (userid);
Date: 2022-03-31 10:05:48 Duration: 0ms Database: acaweb_fx_bigint User: postgres
64 6 11.35 MiB 8.00 KiB 4.20 MiB 1.89 MiB alter table only public.users_old add constraint pk_logininfo primary key (username, clientid, brokerid);-
ALTER TABLE ONLY public.users_old ADD CONSTRAINT pk_logininfo PRIMARY KEY (username, clientid, brokerid);
Date: 2022-03-31 10:05:53 Duration: 0ms Database: acaweb_fx_bigint User: postgres
65 6 6.01 MiB 8.00 KiB 2.78 MiB 1.00 MiB alter table only public.users_old add constraint idx_users_userid001 unique (userid);-
ALTER TABLE ONLY public.users_old ADD CONSTRAINT idx_users_userid001 UNIQUE (userid);
Date: 2022-03-31 10:05:51 Duration: 0ms Database: acaweb_fx_bigint User: postgres
66 6 3.95 MiB 8.00 KiB 1.56 MiB 673.33 KiB alter table only public.relevance_keylevels_results_old add constraint pk__relevanc__f6f52bf24ea8a765 primary key (resultuid);-
ALTER TABLE ONLY public.relevance_keylevels_results_old ADD CONSTRAINT pk__relevanc__f6f52bf24ea8a765 PRIMARY KEY (resultuid);
Date: 2022-03-31 10:06:04 Duration: 0ms Database: acaweb_fx_bigint User: postgres
67 6 9.07 MiB 8.00 KiB 3.93 MiB 1.51 MiB alter table only public.t5 add constraint pk_t5 primary key (pricedatetime, symbolid);-
ALTER TABLE ONLY public.t5 ADD CONSTRAINT pk_t5 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 10:06:04 Duration: 0ms Database: acaweb_fx_bigint User: postgres
68 6 3.20 MiB 8.00 KiB 2.19 MiB 546.67 KiB alter table only public.whatshot_probability add constraint pk__whatshot__3213e83f5c2d8b0c primary key (id);-
ALTER TABLE ONLY public.whatshot_probability ADD CONSTRAINT pk__whatshot__3213e83f5c2d8b0c PRIMARY KEY (id);
Date: 2022-03-31 10:06:01 Duration: 0ms Database: acaweb_fx_bigint User: postgres
69 6 2.14 MiB 8.00 KiB 1.11 MiB 365.33 KiB alter table only public.relevance_fibonacci_results_old add constraint pk__relevanc__f6f52bf24ad81681 primary key (resultuid);-
ALTER TABLE ONLY public.relevance_fibonacci_results_old ADD CONSTRAINT pk__relevanc__f6f52bf24ad81681 PRIMARY KEY (resultuid);
Date: 2022-03-31 10:06:05 Duration: 0ms Database: acaweb_fx_bigint User: postgres
70 5 605.10 MiB 118.35 MiB 124.16 MiB 121.02 MiB create index idx_t15_ps_pricedatetime on public.t15_ps using btree (pricedatetime);-
CREATE INDEX idx_t15_ps_pricedatetime ON public.t15_ps USING btree (pricedatetime);
Date: 2022-03-31 09:57:08 Duration: 1m51s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_ps_pricedatetime ON public.t15_ps USING btree (pricedatetime);
Date: 2022-03-31 12:19:30 Duration: 1m10s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_ps_pricedatetime ON public.t15_ps USING btree (pricedatetime);
Date: 2022-03-31 12:19:30 Duration: 0ms Database: acaweb_fx_bigint User: postgres
71 5 66.88 MiB 10.70 MiB 15.73 MiB 13.38 MiB create index idx_keylevels_approachingtimestamp on public.keylevels_results using btree (approachingtimestamp);-
CREATE INDEX idx_keylevels_approachingtimestamp ON public.keylevels_results USING btree (approachingtimestamp);
Date: 2022-03-31 10:02:12 Duration: 51s574ms Database: acaweb_fx_bigint User: postgres
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CREATE INDEX idx_keylevels_approachingtimestamp ON public.keylevels_results USING btree (approachingtimestamp);
Date: 2022-03-31 12:04:51 Duration: 2s908ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevels_approachingtimestamp ON public.keylevels_results USING btree (approachingtimestamp);
Date: 2022-03-31 12:04:51 Duration: 0ms Database: acaweb_fx_bigint User: postgres
72 5 7.71 MiB 1.45 MiB 1.87 MiB 1.54 MiB create index idx_old_fp_resultuid on fibonacci_results using btree (old_resultuid);-
create index idx_old_fp_resultuid on fibonacci_results using btree (old_resultuid);
Date: 2022-03-31 11:58:53 Duration: 9s541ms Database: acaweb_fx_bigint User: postgres
-
create index idx_old_fp_resultuid on fibonacci_results using btree (old_resultuid);
Date: 2022-03-31 11:58:53 Duration: 0ms Database: acaweb_fx_bigint User: postgres
73 5 100.84 MiB 14.80 MiB 24.27 MiB 20.17 MiB create index idx_keylevelsatbaridentified on public.keylevels_results using btree (atbaridentified desc);-
CREATE INDEX idx_keylevelsatbaridentified ON public.keylevels_results USING btree (atbaridentified DESC);
Date: 2022-03-31 10:02:32 Duration: 23s242ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevelsatbaridentified ON public.keylevels_results USING btree (atbaridentified DESC);
Date: 2022-03-31 12:05:04 Duration: 5s44ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevelsatbaridentified ON public.keylevels_results USING btree (atbaridentified DESC);
Date: 2022-03-31 12:05:04 Duration: 0ms Database: acaweb_fx_bigint User: postgres
74 5 272.00 KiB 40.00 KiB 64.00 KiB 54.40 KiB create index idx_pattrelrestt_ruid_cp_type_rel on public.patternresultsrelevance using btree (relevant, type) where ((relevant = ?) and (type = ?));-
CREATE INDEX idx_pattrelrestt_ruid_cp_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 0));
Date: 2022-03-31 10:02:51 Duration: 18s53ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattrelrestt_ruid_cp_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 0));
Date: 2022-03-31 12:12:09 Duration: 446ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattrelrestt_ruid_cp_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 0));
Date: 2022-03-31 12:12:09 Duration: 0ms Database: acaweb_fx_bigint User: postgres
75 5 65.75 MiB 11.86 MiB 15.16 MiB 13.15 MiB create index idx_autochartist_results_patternqaulity on public.autochartist_results using btree (patternquality);-
CREATE INDEX idx_autochartist_results_patternqaulity ON public.autochartist_results USING btree (patternquality);
Date: 2022-03-31 09:55:03 Duration: 0ms Database: acaweb_fx_bigint User: postgres
76 5 13.59 MiB 2.18 MiB 3.18 MiB 2.72 MiB create index idx_keylvlsresults_patclassid_two_patlenbars_ruid on public.keylevels_results using btree (resultuid) where (patternclassid = ?);-
CREATE INDEX idx_keylvlsresults_patclassid_two_patlenbars_ruid ON public.keylevels_results USING btree (resultuid) WHERE (patternclassid = 2);
Date: 2022-03-31 10:02:22 Duration: 2s119ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylvlsresults_patclassid_two_patlenbars_ruid ON public.keylevels_results USING btree (resultuid) WHERE (patternclassid = 2);
Date: 2022-03-31 12:05:24 Duration: 1s599ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylvlsresults_patclassid_two_patlenbars_ruid ON public.keylevels_results USING btree (resultuid) WHERE (patternclassid = 2);
Date: 2022-03-31 12:05:24 Duration: 0ms Database: acaweb_fx_bigint User: postgres
77 5 847.14 MiB 166.51 MiB 177.73 MiB 169.43 MiB create index idx_t15_ps_pricedatetimesymbol on public.t15_ps using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t15_ps_pricedatetimesymbol ON public.t15_ps USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:24:19 Duration: 4m48s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_ps_pricedatetimesymbol ON public.t15_ps USING btree (symbolid, pricedatetime);
Date: 2022-03-31 09:57:33 Duration: 1m43s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_ps_pricedatetimesymbol ON public.t15_ps USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:24:18 Duration: 0ms Database: acaweb_fx_bigint User: postgres
78 5 65.76 MiB 12.95 MiB 13.38 MiB 13.15 MiB create index idx_old_cp_resultuid on autochartist_results using btree (old_resultuid);-
create index idx_old_cp_resultuid on autochartist_results using btree (old_resultuid);
Date: 2022-03-31 11:58:44 Duration: 1m10s Database: acaweb_fx_bigint User: postgres
-
create index idx_old_cp_resultuid on autochartist_results using btree (old_resultuid);
Date: 2022-03-31 11:58:44 Duration: 0ms Database: acaweb_fx_bigint User: postgres
79 5 65.75 MiB 12.37 MiB 14.22 MiB 13.15 MiB create index idx_symbolid on public.autochartist_results using btree (symbolid);-
CREATE INDEX idx_symbolid ON public.autochartist_results USING btree (symbolid);
Date: 2022-03-31 09:55:16 Duration: 4s985ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_symbolid ON public.autochartist_results USING btree (symbolid);
Date: 2022-03-31 12:04:03 Duration: 1s538ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_symbolid ON public.autochartist_results USING btree (symbolid);
Date: 2022-03-31 12:04:03 Duration: 0ms Database: acaweb_fx_bigint User: postgres
80 5 99.39 MiB 15.42 MiB 23.74 MiB 19.88 MiB create index idx_t60pricedatetimesymbol on public.t60 using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t60pricedatetimesymbol ON public.t60 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:34:58 Duration: 12s483ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60pricedatetimesymbol ON public.t60 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:05:21 Duration: 11s637ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60pricedatetimesymbol ON public.t60 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:34:58 Duration: 0ms Database: acaweb_fx_bigint User: postgres
81 5 100.84 MiB 15.09 MiB 23.51 MiB 20.17 MiB create index idx_keylevels_results_4 on public.keylevels_results using btree (symbolid, breakout, patternlengthbars, resultuid);-
CREATE INDEX idx_keylevels_results_4 ON public.keylevels_results USING btree (symbolid, breakout, patternlengthbars, resultuid);
Date: 2022-03-31 10:02:22 Duration: 22s632ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevels_results_4 ON public.keylevels_results USING btree (symbolid, breakout, patternlengthbars, resultuid);
Date: 2022-03-31 12:04:59 Duration: 3s295ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevels_results_4 ON public.keylevels_results USING btree (symbolid, breakout, patternlengthbars, resultuid);
Date: 2022-03-31 12:04:59 Duration: 0ms Database: acaweb_fx_bigint User: postgres
82 5 28.88 MiB 5.07 MiB 7.42 MiB 5.78 MiB create index idx_symbolid_pricedatetime on public.t1440 using btree (symbolid, pricedatetime);-
CREATE INDEX idx_symbolid_pricedatetime ON public.t1440 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:05:45 Duration: 2s514ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_symbolid_pricedatetime ON public.t1440 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:15:16 Duration: 1s210ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_symbolid_pricedatetime ON public.t1440 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:15:16 Duration: 0ms Database: acaweb_fx_bigint User: postgres
83 5 10.79 MiB 1.60 MiB 2.48 MiB 2.16 MiB create index idx_patresltage_ruid_fp_type on public.patternresultsage using btree (resultuid, type) where (type = ?);-
CREATE INDEX idx_patresltage_ruid_fp_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 1);
Date: 2022-03-31 10:05:30 Duration: 0ms Database: acaweb_fx_bigint User: postgres
84 5 102.97 MiB 17.34 MiB 23.10 MiB 20.59 MiB create index idx_trumpet_latestpricedt on public.powerstats_trumpet using btree (enddate);-
CREATE INDEX idx_trumpet_latestpricedt ON public.powerstats_trumpet USING btree (enddate);
Date: 2022-03-31 09:57:51 Duration: 18s466ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_trumpet_latestpricedt ON public.powerstats_trumpet USING btree (enddate);
Date: 2022-03-31 12:15:05 Duration: 2s453ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_trumpet_latestpricedt ON public.powerstats_trumpet USING btree (enddate);
Date: 2022-03-31 12:15:05 Duration: 0ms Database: acaweb_fx_bigint User: postgres
85 5 124.81 MiB 23.25 MiB 26.84 MiB 24.96 MiB create index idx_t30symbolpdt_desc on public.t30 using btree (symbolid, pricedatetime desc);-
CREATE INDEX idx_t30symbolpdt_desc ON public.t30 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 10:04:53 Duration: 16s277ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30symbolpdt_desc ON public.t30 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 12:33:42 Duration: 2s519ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30symbolpdt_desc ON public.t30 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 12:33:42 Duration: 0ms Database: acaweb_fx_bigint User: postgres
86 5 847.14 MiB 165.51 MiB 181.93 MiB 169.43 MiB create index idx_t15_ps_pricedatetimesymbol on public.t15_ps using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t15_ps_pricedatetimesymbol ON public.t15_ps USING btree (symbolid, pricedatetime);
Date: 2022-03-31 09:57:33 Duration: 0ms Database: acaweb_fx_bigint User: postgres
87 5 191.51 MiB 32.56 MiB 53.01 MiB 38.30 MiB create index idx_t15symbolpdt_desc on public.t15 using btree (symbolid, pricedatetime desc);-
CREATE INDEX idx_t15symbolpdt_desc ON public.t15 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 10:04:27 Duration: 9s259ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15symbolpdt_desc ON public.t15 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 12:27:01 Duration: 4s276ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15symbolpdt_desc ON public.t15 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 12:27:01 Duration: 0ms Database: acaweb_fx_bigint User: postgres
88 5 594.43 MiB 111.70 MiB 131.65 MiB 118.89 MiB create index idx_pattresultsrelev_uniqueindex_rel on public.patternresultsrelevance using btree (uniqueindex, relevant);-
CREATE INDEX idx_pattresultsrelev_uniqueindex_rel ON public.patternresultsrelevance USING btree (uniqueindex, relevant);
Date: 2022-03-31 10:03:44 Duration: 0ms Database: acaweb_fx_bigint User: postgres
89 5 102.97 MiB 19.17 MiB 22.61 MiB 20.59 MiB create index idx_trumpet_latestpricedt on public.powerstats_trumpet using btree (enddate);-
CREATE INDEX idx_trumpet_latestpricedt ON public.powerstats_trumpet USING btree (enddate);
Date: 2022-03-31 09:57:51 Duration: 0ms Database: acaweb_fx_bigint User: postgres
90 5 180.20 MiB 35.23 MiB 37.02 MiB 36.04 MiB create index idx_keylvlrslts_unqpntvl on public.keylevels_results using btree (uniquepointsvalue);-
CREATE INDEX idx_keylvlrslts_unqpntvl ON public.keylevels_results USING btree (uniquepointsvalue);
Date: 2022-03-31 10:02:33 Duration: 0ms Database: acaweb_fx_bigint User: postgres
91 5 28.88 MiB 4.50 MiB 7.93 MiB 5.78 MiB create index idx_t1440pricedatetimesymbol on public.t1440 using btree (pricedatetime, symbolid);-
CREATE INDEX idx_t1440pricedatetimesymbol ON public.t1440 USING btree (pricedatetime, symbolid);
Date: 2022-03-31 10:05:45 Duration: 3s5ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t1440pricedatetimesymbol ON public.t1440 USING btree (pricedatetime, symbolid);
Date: 2022-03-31 12:15:18 Duration: 1s821ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t1440pricedatetimesymbol ON public.t1440 USING btree (pricedatetime, symbolid);
Date: 2022-03-31 12:15:18 Duration: 0ms Database: acaweb_fx_bigint User: postgres
92 5 78.00 MiB 13.57 MiB 18.41 MiB 15.60 MiB create index idx_t240pricedatetimesymbol on public.t240 using btree (pricedatetime, symbolid);-
CREATE INDEX idx_t240pricedatetimesymbol ON public.t240 USING btree (pricedatetime, symbolid);
Date: 2022-03-31 10:05:23 Duration: 0ms Database: acaweb_fx_bigint User: postgres
93 5 156.91 MiB 29.11 MiB 35.82 MiB 31.38 MiB create index idx_t60_ps_symbolid on public.t60_ps using btree (symbolid);-
CREATE INDEX idx_t60_ps_symbolid ON public.t60_ps USING btree (symbolid);
Date: 2022-03-31 10:04:28 Duration: 0ms Database: acaweb_fx_bigint User: postgres
94 5 65.74 MiB 12.50 MiB 13.66 MiB 13.15 MiB create index idx_patternendtime on public.autochartist_results using btree (patternendtime);-
CREATE INDEX idx_patternendtime ON public.autochartist_results USING btree (patternendtime);
Date: 2022-03-31 09:55:16 Duration: 4s996ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patternendtime ON public.autochartist_results USING btree (patternendtime);
Date: 2022-03-31 12:04:01 Duration: 1s403ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patternendtime ON public.autochartist_results USING btree (patternendtime);
Date: 2022-03-31 12:04:01 Duration: 0ms Database: acaweb_fx_bigint User: postgres
95 5 425.33 MiB 67.18 MiB 96.96 MiB 85.07 MiB create index idx_t30_ps_pricedatetimesymbol on public.t30_ps using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t30_ps_pricedatetimesymbol ON public.t30_ps USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:00:17 Duration: 1m2s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30_ps_pricedatetimesymbol ON public.t30_ps USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:32:58 Duration: 27s530ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30_ps_pricedatetimesymbol ON public.t30_ps USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:32:58 Duration: 0ms Database: acaweb_fx_bigint User: postgres
96 5 11.64 MiB 1.74 MiB 2.75 MiB 2.33 MiB create index idx_new_ar_breakout_resultuid_3 on public.autochartist_results using btree (breakout desc, resultuid desc) where ((breakout >= (?.?)::double precision) and (patternendtime = latestbaratbreakouttime) and (patternlengthbars >= ?) and (patternquality >= (?.?)::double precision) and (initialtrend >= (?.?)::double precision) and (symmetry >= (?.?)::double precision) and (noise <= (?.?)::double precision) and (volumeincrease >= (?.?)::double precision) and (temporarypattern = ?));-
CREATE INDEX idx_new_ar_breakout_resultuid_3 ON public.autochartist_results USING btree (breakout DESC, resultuid DESC) WHERE ((breakout >= (0.0)::double precision) AND (patternendtime = latestbaratbreakouttime) AND (patternlengthbars >= 20) AND (patternquality >= (0.3)::double precision) AND (initialtrend >= (0.0)::double precision) AND (symmetry >= (0.0)::double precision) AND (noise <= (1.0)::double precision) AND (volumeincrease >= (0.0)::double precision) AND (temporarypattern = 0));
Date: 2022-03-31 09:55:11 Duration: 3s484ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_new_ar_breakout_resultuid_3 ON public.autochartist_results USING btree (breakout DESC, resultuid DESC) WHERE ((breakout >= (0.0)::double precision) AND (patternendtime = latestbaratbreakouttime) AND (patternlengthbars >= 20) AND (patternquality >= (0.3)::double precision) AND (initialtrend >= (0.0)::double precision) AND (symmetry >= (0.0)::double precision) AND (noise <= (1.0)::double precision) AND (volumeincrease >= (0.0)::double precision) AND (temporarypattern = 0));
Date: 2022-03-31 12:04:00 Duration: 678ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_new_ar_breakout_resultuid_3 ON public.autochartist_results USING btree (breakout DESC, resultuid DESC) WHERE ((breakout >= (0.0)::double precision) AND (patternendtime = latestbaratbreakouttime) AND (patternlengthbars >= 20) AND (patternquality >= (0.3)::double precision) AND (initialtrend >= (0.0)::double precision) AND (symmetry >= (0.0)::double precision) AND (noise <= (1.0)::double precision) AND (volumeincrease >= (0.0)::double precision) AND (temporarypattern = 0));
Date: 2022-03-31 12:04:00 Duration: 0ms Database: acaweb_fx_bigint User: postgres
97 5 136.80 MiB 19.04 MiB 33.55 MiB 27.36 MiB create index idx_t15_sastdtwrt on public.t15 using btree (sastdatetimewritten);-
CREATE INDEX idx_t15_sastdtwrt ON public.t15 USING btree (sastdatetimewritten);
Date: 2022-03-31 10:04:18 Duration: 13s848ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_sastdtwrt ON public.t15 USING btree (sastdatetimewritten);
Date: 2022-03-31 12:26:53 Duration: 2s269ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_sastdtwrt ON public.t15 USING btree (sastdatetimewritten);
Date: 2022-03-31 12:26:52 Duration: 0ms Database: acaweb_fx_bigint User: postgres
98 5 65.75 MiB 12.09 MiB 14.60 MiB 13.15 MiB create index idx_patternendtime on public.autochartist_results using btree (patternendtime);-
CREATE INDEX idx_patternendtime ON public.autochartist_results USING btree (patternendtime);
Date: 2022-03-31 09:55:15 Duration: 0ms Database: acaweb_fx_bigint User: postgres
99 5 180.20 MiB 33.65 MiB 40.68 MiB 36.04 MiB create index idx_keylvlrslts_unqpntvl on public.keylevels_results using btree (uniquepointsvalue);-
CREATE INDEX idx_keylvlrslts_unqpntvl ON public.keylevels_results USING btree (uniquepointsvalue);
Date: 2022-03-31 12:05:22 Duration: 16s12ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylvlrslts_unqpntvl ON public.keylevels_results USING btree (uniquepointsvalue);
Date: 2022-03-31 10:02:33 Duration: 14s650ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylvlrslts_unqpntvl ON public.keylevels_results USING btree (uniquepointsvalue);
Date: 2022-03-31 12:05:22 Duration: 0ms Database: acaweb_fx_bigint User: postgres
100 5 136.79 MiB 19.22 MiB 29.84 MiB 27.36 MiB create index idx_t15_sastdtwrt on public.t15 using btree (sastdatetimewritten);-
CREATE INDEX idx_t15_sastdtwrt ON public.t15 USING btree (sastdatetimewritten);
Date: 2022-03-31 10:04:18 Duration: 0ms Database: acaweb_fx_bigint User: postgres
101 5 20.63 MiB 3.82 MiB 4.34 MiB 4.13 MiB create index idx_t1440_sastdtwrt on public.t1440 using btree (sastdatetimewritten);-
CREATE INDEX idx_t1440_sastdtwrt ON public.t1440 USING btree (sastdatetimewritten);
Date: 2022-03-31 10:05:45 Duration: 2s445ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t1440_sastdtwrt ON public.t1440 USING btree (sastdatetimewritten);
Date: 2022-03-31 12:15:17 Duration: 771ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t1440_sastdtwrt ON public.t1440 USING btree (sastdatetimewritten);
Date: 2022-03-31 12:15:16 Duration: 0ms Database: acaweb_fx_bigint User: postgres
102 5 136.80 MiB 18.20 MiB 33.73 MiB 27.36 MiB create index idx_t15_sastdatetimereceived on public.t15 using btree (sastdatetimereceived);-
CREATE INDEX idx_t15_sastdatetimereceived ON public.t15 USING btree (sastdatetimereceived);
Date: 2022-03-31 10:04:18 Duration: 22s747ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_sastdatetimereceived ON public.t15 USING btree (sastdatetimereceived);
Date: 2022-03-31 12:26:50 Duration: 2s103ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_sastdatetimereceived ON public.t15 USING btree (sastdatetimereceived);
Date: 2022-03-31 12:26:50 Duration: 0ms Database: acaweb_fx_bigint User: postgres
103 5 102.98 MiB 19.64 MiB 22.41 MiB 20.60 MiB create index idx_trumpet_symbolid on public.powerstats_trumpet using btree (symbolid);-
CREATE INDEX idx_trumpet_symbolid ON public.powerstats_trumpet USING btree (symbolid);
Date: 2022-03-31 09:57:51 Duration: 4s105ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_trumpet_symbolid ON public.powerstats_trumpet USING btree (symbolid);
Date: 2022-03-31 12:15:08 Duration: 2s839ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_trumpet_symbolid ON public.powerstats_trumpet USING btree (symbolid);
Date: 2022-03-31 12:15:08 Duration: 0ms Database: acaweb_fx_bigint User: postgres
104 5 65.75 MiB 9.54 MiB 15.69 MiB 13.15 MiB create index idx_autochartist_results_resultuid on public.autochartist_results using btree (resultuid);-
CREATE INDEX idx_autochartist_results_resultuid ON public.autochartist_results USING btree (resultuid);
Date: 2022-03-31 09:55:05 Duration: 4s266ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_resultuid ON public.autochartist_results USING btree (resultuid);
Date: 2022-03-31 12:03:49 Duration: 2s452ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_resultuid ON public.autochartist_results USING btree (resultuid);
Date: 2022-03-31 12:03:49 Duration: 0ms Database: acaweb_fx_bigint User: postgres
105 5 594.43 MiB 112.39 MiB 127.23 MiB 118.89 MiB create index idx_pattresultsrelev_uniqueindex_rel on public.patternresultsrelevance using btree (uniqueindex, relevant);-
CREATE INDEX idx_pattresultsrelev_uniqueindex_rel ON public.patternresultsrelevance USING btree (uniqueindex, relevant);
Date: 2022-03-31 12:13:28 Duration: 1m17s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattresultsrelev_uniqueindex_rel ON public.patternresultsrelevance USING btree (uniqueindex, relevant);
Date: 2022-03-31 10:03:44 Duration: 54s142ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattresultsrelev_uniqueindex_rel ON public.patternresultsrelevance USING btree (uniqueindex, relevant);
Date: 2022-03-31 12:13:28 Duration: 0ms Database: acaweb_fx_bigint User: postgres
106 5 77.99 MiB 13.52 MiB 17.22 MiB 15.60 MiB create index pk_t240 on public.t240 using btree (pricedatetime, symbolid);-
CREATE INDEX pk_t240 ON public.t240 USING btree (pricedatetime, symbolid);
Date: 2022-03-31 10:05:26 Duration: 0ms Database: acaweb_fx_bigint User: postgres
107 5 156.91 MiB 30.28 MiB 32.79 MiB 31.38 MiB create index idx_t60_ps_pricedatetime on public.t60_ps using btree (pricedatetime);-
CREATE INDEX idx_t60_ps_pricedatetime ON public.t60_ps USING btree (pricedatetime);
Date: 2022-03-31 10:04:04 Duration: 0ms Database: acaweb_fx_bigint User: postgres
108 5 56.04 MiB 8.80 MiB 13.19 MiB 11.21 MiB create index idx_keylevels_results_3 on public.keylevels_results using btree (symbolid);-
CREATE INDEX idx_keylevels_results_3 ON public.keylevels_results USING btree (symbolid);
Date: 2022-03-31 10:02:18 Duration: 26s6ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevels_results_3 ON public.keylevels_results USING btree (symbolid);
Date: 2022-03-31 12:04:55 Duration: 1s527ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevels_results_3 ON public.keylevels_results USING btree (symbolid);
Date: 2022-03-31 12:04:55 Duration: 0ms Database: acaweb_fx_bigint User: postgres
109 5 219.66 MiB 31.37 MiB 58.80 MiB 43.93 MiB create index idx_t60_ps_pricedatetimesymbol on public.t60_ps using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t60_ps_pricedatetimesymbol ON public.t60_ps USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:04:04 Duration: 20s316ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60_ps_pricedatetimesymbol ON public.t60_ps USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:34:01 Duration: 4s114ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60_ps_pricedatetimesymbol ON public.t60_ps USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:34:01 Duration: 0ms Database: acaweb_fx_bigint User: postgres
110 5 71.00 MiB 12.76 MiB 15.29 MiB 14.20 MiB create index idx_t60_sastdtwrt on public.t60 using btree (sastdatetimewritten);-
CREATE INDEX idx_t60_sastdtwrt ON public.t60 USING btree (sastdatetimewritten);
Date: 2022-03-31 10:05:20 Duration: 0ms Database: acaweb_fx_bigint User: postgres
111 5 156.91 MiB 26.36 MiB 36.95 MiB 31.38 MiB create index idx_t60_ps_symbolid on public.t60_ps using btree (symbolid);-
CREATE INDEX idx_t60_ps_symbolid ON public.t60_ps USING btree (symbolid);
Date: 2022-03-31 10:04:28 Duration: 7s49ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60_ps_symbolid ON public.t60_ps USING btree (symbolid);
Date: 2022-03-31 12:34:04 Duration: 2s232ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60_ps_symbolid ON public.t60_ps USING btree (symbolid);
Date: 2022-03-31 12:34:04 Duration: 0ms Database: acaweb_fx_bigint User: postgres
112 5 70.99 MiB 12.62 MiB 18.91 MiB 14.20 MiB create index idx_t60_sastdtwrt on public.t60 using btree (sastdatetimewritten);-
CREATE INDEX idx_t60_sastdtwrt ON public.t60 USING btree (sastdatetimewritten);
Date: 2022-03-31 10:05:21 Duration: 11s783ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60_sastdtwrt ON public.t60 USING btree (sastdatetimewritten);
Date: 2022-03-31 12:34:46 Duration: 7s188ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60_sastdtwrt ON public.t60 USING btree (sastdatetimewritten);
Date: 2022-03-31 12:34:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
113 5 65.74 MiB 12.31 MiB 14.40 MiB 13.15 MiB create index idx_autochartist_results_volumeincrease on public.autochartist_results using btree (volumeincrease);-
CREATE INDEX idx_autochartist_results_volumeincrease ON public.autochartist_results USING btree (volumeincrease);
Date: 2022-03-31 09:55:07 Duration: 4s551ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_volumeincrease ON public.autochartist_results USING btree (volumeincrease);
Date: 2022-03-31 12:03:55 Duration: 2s976ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_volumeincrease ON public.autochartist_results USING btree (volumeincrease);
Date: 2022-03-31 12:03:55 Duration: 0ms Database: acaweb_fx_bigint User: postgres
114 5 92.04 MiB 17.48 MiB 20.23 MiB 18.41 MiB create index idx_gmttimefound_patternquality on public.autochartist_results using btree (gmttimefound desc, patternquality desc);-
CREATE INDEX idx_gmttimefound_patternquality ON public.autochartist_results USING btree (gmttimefound DESC, patternquality DESC);
Date: 2022-03-31 09:55:11 Duration: 0ms Database: acaweb_fx_bigint User: postgres
115 5 64.00 KiB 8.00 KiB 16.00 KiB 12.80 KiB create index idx_pattrelrestt_ruid_bm_type_rel on public.patternresultsrelevance using btree (relevant, type) where ((relevant = ?) and (type = ?));-
CREATE INDEX idx_pattrelrestt_ruid_bm_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 5));
Date: 2022-03-31 10:02:49 Duration: 0ms Database: acaweb_fx_bigint User: postgres
116 5 65.75 MiB 12.43 MiB 13.84 MiB 13.15 MiB create index idx_autochartist_results_noise on public.autochartist_results using btree (noise);-
CREATE INDEX idx_autochartist_results_noise ON public.autochartist_results USING btree (noise);
Date: 2022-03-31 09:54:58 Duration: 0ms Database: acaweb_fx_bigint User: postgres
117 5 118.33 MiB 18.83 MiB 31.34 MiB 23.67 MiB create index idx_ar_resuid_symid_pattendtime on public.autochartist_results using btree (resultuid, symbolid, patternendtime);-
CREATE INDEX idx_ar_resuid_symid_pattendtime ON public.autochartist_results USING btree (resultuid, symbolid, patternendtime);
Date: 2022-03-31 09:54:44 Duration: 46s314ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_ar_resuid_symid_pattendtime ON public.autochartist_results USING btree (resultuid, symbolid, patternendtime);
Date: 2022-03-31 12:02:46 Duration: 4s588ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_ar_resuid_symid_pattendtime ON public.autochartist_results USING btree (resultuid, symbolid, patternendtime);
Date: 2022-03-31 12:02:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
118 5 240.00 KiB 40.00 KiB 56.00 KiB 48.00 KiB create index idx_patresltage_ruid_cc_type on public.patternresultsage using btree (resultuid, type) where (type = ?);-
CREATE INDEX idx_patresltage_ruid_cc_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 4);
Date: 2022-03-31 10:05:29 Duration: 0ms Database: acaweb_fx_bigint User: postgres
119 5 56.04 MiB 8.37 MiB 13.16 MiB 11.21 MiB create index idx_keylevels_results_2 on public.keylevels_results using btree (symbolid);-
CREATE INDEX idx_keylevels_results_2 ON public.keylevels_results USING btree (symbolid);
Date: 2022-03-31 10:02:18 Duration: 38s160ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevels_results_2 ON public.keylevels_results USING btree (symbolid);
Date: 2022-03-31 12:04:54 Duration: 1s672ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevels_results_2 ON public.keylevels_results USING btree (symbolid);
Date: 2022-03-31 12:04:54 Duration: 0ms Database: acaweb_fx_bigint User: postgres
120 5 65.75 MiB 11.88 MiB 15.07 MiB 13.15 MiB create index idx_autochartist_results_resultuid on public.autochartist_results using btree (resultuid);-
CREATE INDEX idx_autochartist_results_resultuid ON public.autochartist_results USING btree (resultuid);
Date: 2022-03-31 09:55:05 Duration: 0ms Database: acaweb_fx_bigint User: postgres
121 5 65.76 MiB 12.27 MiB 13.80 MiB 13.15 MiB create index idx_autochartist_results_symmetry on public.autochartist_results using btree (symmetry);-
CREATE INDEX idx_autochartist_results_symmetry ON public.autochartist_results USING btree (symmetry);
Date: 2022-03-31 09:55:11 Duration: 9s273ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_symmetry ON public.autochartist_results USING btree (symmetry);
Date: 2022-03-31 12:03:52 Duration: 2s788ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_symmetry ON public.autochartist_results USING btree (symmetry);
Date: 2022-03-31 12:03:52 Duration: 0ms Database: acaweb_fx_bigint User: postgres
122 5 28.88 MiB 5.58 MiB 6.14 MiB 5.78 MiB create index idx_t1440symbolpdt_desc on public.t1440 using btree (symbolid, pricedatetime desc);-
CREATE INDEX idx_t1440symbolpdt_desc ON public.t1440 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 10:05:46 Duration: 2s702ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t1440symbolpdt_desc ON public.t1440 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 12:15:19 Duration: 1s32ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t1440symbolpdt_desc ON public.t1440 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 12:15:19 Duration: 0ms Database: acaweb_fx_bigint User: postgres
123 5 48.00 KiB 8.00 KiB 16.00 KiB 9.60 KiB create index idx_pattrelrestt_ruid_fp_type_rel on public.patternresultsrelevance using btree (relevant, type) where ((relevant = ?) and (type = ?));-
CREATE INDEX idx_pattrelrestt_ruid_fp_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 1));
Date: 2022-03-31 10:02:50 Duration: 821ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattrelrestt_ruid_fp_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 1));
Date: 2022-03-31 12:12:10 Duration: 436ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattrelrestt_ruid_fp_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 1));
Date: 2022-03-31 12:12:10 Duration: 0ms Database: acaweb_fx_bigint User: postgres
124 5 118.33 MiB 18.52 MiB 29.30 MiB 23.67 MiB create index idx_ar_symbolid_resultuid_lbbt on public.autochartist_results using btree (symbolid, resultuid, latestbaratbreakouttime);-
CREATE INDEX idx_ar_symbolid_resultuid_lbbt ON public.autochartist_results USING btree (symbolid, resultuid, latestbaratbreakouttime);
Date: 2022-03-31 09:55:01 Duration: 27s354ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_ar_symbolid_resultuid_lbbt ON public.autochartist_results USING btree (symbolid, resultuid, latestbaratbreakouttime);
Date: 2022-03-31 12:03:37 Duration: 15s207ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_ar_symbolid_resultuid_lbbt ON public.autochartist_results USING btree (symbolid, resultuid, latestbaratbreakouttime);
Date: 2022-03-31 12:03:37 Duration: 0ms Database: acaweb_fx_bigint User: postgres
125 5 78.00 MiB 12.69 MiB 18.36 MiB 15.60 MiB create index idx_t240_results_3 on public.t240 using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t240_results_3 ON public.t240 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:05:21 Duration: 8s658ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t240_results_3 ON public.t240 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:27:13 Duration: 3s59ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t240_results_3 ON public.t240 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:27:13 Duration: 0ms Database: acaweb_fx_bigint User: postgres
126 5 65.73 MiB 9.69 MiB 15.76 MiB 13.15 MiB create index idx_autochartist_results_noise on public.autochartist_results using btree (noise);-
CREATE INDEX idx_autochartist_results_noise ON public.autochartist_results USING btree (noise);
Date: 2022-03-31 09:54:58 Duration: 14s495ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_noise ON public.autochartist_results USING btree (noise);
Date: 2022-03-31 12:03:42 Duration: 2s307ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_noise ON public.autochartist_results USING btree (noise);
Date: 2022-03-31 12:03:42 Duration: 0ms Database: acaweb_fx_bigint User: postgres
127 5 78.00 MiB 12.16 MiB 20.29 MiB 15.60 MiB create index idx_t240pricedatetimesymbol on public.t240 using btree (pricedatetime, symbolid);-
CREATE INDEX idx_t240pricedatetimesymbol ON public.t240 USING btree (pricedatetime, symbolid);
Date: 2022-03-31 10:05:23 Duration: 5s32ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t240pricedatetimesymbol ON public.t240 USING btree (pricedatetime, symbolid);
Date: 2022-03-31 12:27:16 Duration: 1s629ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t240pricedatetimesymbol ON public.t240 USING btree (pricedatetime, symbolid);
Date: 2022-03-31 12:27:16 Duration: 0ms Database: acaweb_fx_bigint User: postgres
128 5 99.38 MiB 16.66 MiB 26.91 MiB 19.88 MiB create index idx_t60symbolpdt_desc on public.t60 using btree (symbolid, pricedatetime desc);-
CREATE INDEX idx_t60symbolpdt_desc ON public.t60 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 12:35:14 Duration: 15s747ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60symbolpdt_desc ON public.t60 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 10:05:23 Duration: 12s593ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60symbolpdt_desc ON public.t60 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 12:35:14 Duration: 0ms Database: acaweb_fx_bigint User: postgres
129 5 78.00 MiB 13.54 MiB 17.72 MiB 15.60 MiB create index idx_t240symbolpdt_desc on public.t240 using btree (symbolid, pricedatetime desc);-
CREATE INDEX idx_t240symbolpdt_desc ON public.t240 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 10:05:26 Duration: 0ms Database: acaweb_fx_bigint User: postgres
130 5 36.30 MiB 4.09 MiB 9.89 MiB 7.26 MiB ) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
) OR ((c.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurgbp%' AND timegranularity <= 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 19:20:03 Duration: 0ms Database: acaweb_fx User: postgres
131 5 77.99 MiB 11.82 MiB 21.49 MiB 15.60 MiB create index pk_t240 on public.t240 using btree (pricedatetime, symbolid);-
CREATE INDEX pk_t240 ON public.t240 USING btree (pricedatetime, symbolid);
Date: 2022-03-31 10:05:26 Duration: 4s777ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX pk_t240 ON public.t240 USING btree (pricedatetime, symbolid);
Date: 2022-03-31 12:27:18 Duration: 1s342ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX pk_t240 ON public.t240 USING btree (pricedatetime, symbolid);
Date: 2022-03-31 12:27:18 Duration: 0ms Database: acaweb_fx_bigint User: postgres
132 5 56.04 MiB 8.38 MiB 13.62 MiB 11.21 MiB create index idx_keylevels_breakout on public.keylevels_results using btree (breakout);-
CREATE INDEX idx_keylevels_breakout ON public.keylevels_results USING btree (breakout);
Date: 2022-03-31 10:02:09 Duration: 48s470ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevels_breakout ON public.keylevels_results USING btree (breakout);
Date: 2022-03-31 12:04:52 Duration: 1s445ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevels_breakout ON public.keylevels_results USING btree (breakout);
Date: 2022-03-31 12:04:52 Duration: 0ms Database: acaweb_fx_bigint User: postgres
133 5 191.51 MiB 25.94 MiB 47.38 MiB 38.30 MiB create index idx_t15pricedatetimesymbol on public.t15 using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t15pricedatetimesymbol ON public.t15 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:04:21 Duration: 17s219ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15pricedatetimesymbol ON public.t15 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:26:56 Duration: 3s877ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15pricedatetimesymbol ON public.t15 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:26:56 Duration: 0ms Database: acaweb_fx_bigint User: postgres
134 5 30.61 MiB 4.16 MiB 9.78 MiB 6.12 MiB ) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%xauusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurusd%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 18:37:20 Duration: 0ms Database: acaweb_fx User: postgres
135 5 124.80 MiB 23.00 MiB 26.89 MiB 24.96 MiB create index idx_t30pricedatetimesymbol on public.t30 using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t30pricedatetimesymbol ON public.t30 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:04:53 Duration: 22s472ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30pricedatetimesymbol ON public.t30 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:33:40 Duration: 3s332ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30pricedatetimesymbol ON public.t30 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 12:33:40 Duration: 0ms Database: acaweb_fx_bigint User: postgres
136 5 124.80 MiB 22.35 MiB 27.80 MiB 24.96 MiB create index idx_t30pricedatetimesymbol on public.t30 using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t30pricedatetimesymbol ON public.t30 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:04:53 Duration: 0ms Database: acaweb_fx_bigint User: postgres
137 5 260.62 MiB 50.58 MiB 56.66 MiB 52.12 MiB create index hve_t15_symblid_pdt on public.t15_hve using btree (symbolid, pricedatetime);-
CREATE INDEX hve_t15_symblid_pdt ON public.t15_hve USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:01:16 Duration: 0ms Database: acaweb_fx_bigint User: postgres
138 5 5.24 MiB 832.00 KiB 1.28 MiB 1.05 MiB create index idx_keylvlsresults_patclassid_one_patlenbars_ruid on public.keylevels_results using btree (resultuid) where (patternclassid = ?);-
CREATE INDEX idx_keylvlsresults_patclassid_one_patlenbars_ruid ON public.keylevels_results USING btree (resultuid) WHERE (patternclassid = 1);
Date: 2022-03-31 10:02:20 Duration: 1s715ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylvlsresults_patclassid_one_patlenbars_ruid ON public.keylevels_results USING btree (resultuid) WHERE (patternclassid = 1);
Date: 2022-03-31 12:05:22 Duration: 642ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylvlsresults_patclassid_one_patlenbars_ruid ON public.keylevels_results USING btree (resultuid) WHERE (patternclassid = 1);
Date: 2022-03-31 12:05:22 Duration: 0ms Database: acaweb_fx_bigint User: postgres
139 5 11.64 MiB 2.05 MiB 2.48 MiB 2.33 MiB create index idx_new_ar_breakout_resultuid_3 on public.autochartist_results using btree (breakout desc, resultuid desc) where ((breakout >= (?.?)::double precision) and (patternendtime = latestbaratbreakouttime) and (patternlengthbars >= ?) and (patternquality >= (?.?)::double precision) and (initialtrend >= (?.?)::double precision) and (symmetry >= (?.?)::double precision) and (noise <= (?.?)::double precision) and (volumeincrease >= (?.?)::double precision) and (temporarypattern = ?));-
CREATE INDEX idx_new_ar_breakout_resultuid_3 ON public.autochartist_results USING btree (breakout DESC, resultuid DESC) WHERE ((breakout >= (0.0)::double precision) AND (patternendtime = latestbaratbreakouttime) AND (patternlengthbars >= 20) AND (patternquality >= (0.3)::double precision) AND (initialtrend >= (0.0)::double precision) AND (symmetry >= (0.0)::double precision) AND (noise <= (1.0)::double precision) AND (volumeincrease >= (0.0)::double precision) AND (temporarypattern = 0));
Date: 2022-03-31 09:55:11 Duration: 0ms Database: acaweb_fx_bigint User: postgres
140 5 240.00 KiB 48.00 KiB 48.00 KiB 48.00 KiB create index idx_pattrelrestt_ruid_kl_type_rel on public.patternresultsrelevance using btree (relevant, type) where ((relevant = ?) and (type = ?));-
CREATE INDEX idx_pattrelrestt_ruid_kl_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 2));
Date: 2022-03-31 10:02:50 Duration: 1s56ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattrelrestt_ruid_kl_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 2));
Date: 2022-03-31 12:12:10 Duration: 513ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattrelrestt_ruid_kl_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 2));
Date: 2022-03-31 12:12:10 Duration: 0ms Database: acaweb_fx_bigint User: postgres
141 5 56.04 MiB 10.71 MiB 11.52 MiB 11.21 MiB create index idx_keylevels_results_2 on public.keylevels_results using btree (symbolid);-
CREATE INDEX idx_keylevels_results_2 ON public.keylevels_results USING btree (symbolid);
Date: 2022-03-31 10:02:18 Duration: 0ms Database: acaweb_fx_bigint User: postgres
142 5 136.80 MiB 19.02 MiB 32.77 MiB 27.36 MiB create index idx_t15_pricedatetime on public.t15 using btree (pricedatetime);-
CREATE INDEX idx_t15_pricedatetime ON public.t15 USING btree (pricedatetime);
Date: 2022-03-31 10:04:18 Duration: 28s15ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_pricedatetime ON public.t15 USING btree (pricedatetime);
Date: 2022-03-31 12:26:48 Duration: 1s894ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_pricedatetime ON public.t15 USING btree (pricedatetime);
Date: 2022-03-31 12:26:48 Duration: 0ms Database: acaweb_fx_bigint User: postgres
143 5 303.82 MiB 60.31 MiB 61.26 MiB 60.76 MiB create index idx_t30_ps_pricedatetime on public.t30_ps using btree (pricedatetime);-
CREATE INDEX idx_t30_ps_pricedatetime ON public.t30_ps USING btree (pricedatetime);
Date: 2022-03-31 12:32:30 Duration: 2m30s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30_ps_pricedatetime ON public.t30_ps USING btree (pricedatetime);
Date: 2022-03-31 10:00:09 Duration: 54s793ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30_ps_pricedatetime ON public.t30_ps USING btree (pricedatetime);
Date: 2022-03-31 12:32:30 Duration: 0ms Database: acaweb_fx_bigint User: postgres
144 5 65.75 MiB 9.74 MiB 16.02 MiB 13.15 MiB create index idx_autochartist_results_patternqaulity on public.autochartist_results using btree (patternquality);-
CREATE INDEX idx_autochartist_results_patternqaulity ON public.autochartist_results USING btree (patternquality);
Date: 2022-03-31 09:55:03 Duration: 4s552ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_patternqaulity ON public.autochartist_results USING btree (patternquality);
Date: 2022-03-31 12:03:46 Duration: 2s519ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_patternqaulity ON public.autochartist_results USING btree (patternquality);
Date: 2022-03-31 12:03:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
145 5 55.73 MiB 10.29 MiB 12.38 MiB 11.15 MiB create index idx_t240_sastdtwrt on public.t240 using btree (sastdatetimewritten);-
CREATE INDEX idx_t240_sastdtwrt ON public.t240 USING btree (sastdatetimewritten);
Date: 2022-03-31 10:05:18 Duration: 5s95ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t240_sastdtwrt ON public.t240 USING btree (sastdatetimewritten);
Date: 2022-03-31 12:27:14 Duration: 1s158ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t240_sastdtwrt ON public.t240 USING btree (sastdatetimewritten);
Date: 2022-03-31 12:27:14 Duration: 0ms Database: acaweb_fx_bigint User: postgres
146 5 65.75 MiB 10.55 MiB 14.91 MiB 13.15 MiB create index idx_autochartist_results_patternlengthbars on public.autochartist_results using btree (patternlengthbars);-
CREATE INDEX idx_autochartist_results_patternlengthbars ON public.autochartist_results USING btree (patternlengthbars);
Date: 2022-03-31 09:55:05 Duration: 17s580ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_patternlengthbars ON public.autochartist_results USING btree (patternlengthbars);
Date: 2022-03-31 12:03:44 Duration: 2s212ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_patternlengthbars ON public.autochartist_results USING btree (patternlengthbars);
Date: 2022-03-31 12:03:44 Duration: 0ms Database: acaweb_fx_bigint User: postgres
147 5 78.00 MiB 13.78 MiB 16.83 MiB 15.60 MiB create index idx_t240symbolpdt_desc on public.t240 using btree (symbolid, pricedatetime desc);-
CREATE INDEX idx_t240symbolpdt_desc ON public.t240 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 10:05:26 Duration: 5s203ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t240symbolpdt_desc ON public.t240 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 12:27:17 Duration: 1s474ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t240symbolpdt_desc ON public.t240 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 12:27:17 Duration: 0ms Database: acaweb_fx_bigint User: postgres
148 5 89.16 MiB 15.06 MiB 20.12 MiB 17.83 MiB create index idx_t30_sastdtwrt on public.t30 using btree (sastdatetimewritten);-
CREATE INDEX idx_t30_sastdtwrt ON public.t30 USING btree (sastdatetimewritten);
Date: 2022-03-31 10:04:52 Duration: 23s366ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30_sastdtwrt ON public.t30 USING btree (sastdatetimewritten);
Date: 2022-03-31 12:33:37 Duration: 2s316ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30_sastdtwrt ON public.t30 USING btree (sastdatetimewritten);
Date: 2022-03-31 12:33:37 Duration: 0ms Database: acaweb_fx_bigint User: postgres
149 5 40.00 KiB 8.00 KiB 8.00 KiB 8.00 KiB create index idx_pattrelrestt_ruid_cc_type_rel on public.patternresultsrelevance using btree (relevant, type) where ((relevant = ?) and (type = ?));-
CREATE INDEX idx_pattrelrestt_ruid_cc_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 4));
Date: 2022-03-31 10:02:49 Duration: 19s8ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattrelrestt_ruid_cc_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 4));
Date: 2022-03-31 12:12:09 Duration: 423ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattrelrestt_ruid_cc_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 4));
Date: 2022-03-31 12:12:09 Duration: 0ms Database: acaweb_fx_bigint User: postgres
150 5 92.05 MiB 16.82 MiB 19.81 MiB 18.41 MiB create index idx_gmttimefound_patternquality on public.autochartist_results using btree (gmttimefound desc, patternquality desc);-
CREATE INDEX idx_gmttimefound_patternquality ON public.autochartist_results USING btree (gmttimefound DESC, patternquality DESC);
Date: 2022-03-31 09:55:11 Duration: 5s426ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_gmttimefound_patternquality ON public.autochartist_results USING btree (gmttimefound DESC, patternquality DESC);
Date: 2022-03-31 12:03:59 Duration: 2s94ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_gmttimefound_patternquality ON public.autochartist_results USING btree (gmttimefound DESC, patternquality DESC);
Date: 2022-03-31 12:03:59 Duration: 0ms Database: acaweb_fx_bigint User: postgres
151 5 56.04 MiB 10.21 MiB 12.87 MiB 11.21 MiB create index idx_keylevelsgmttimefound on public.keylevels_results using btree (gmttimefound desc);-
CREATE INDEX idx_keylevelsgmttimefound ON public.keylevels_results USING btree (gmttimefound DESC);
Date: 2022-03-31 10:02:20 Duration: 8s352ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevelsgmttimefound ON public.keylevels_results USING btree (gmttimefound DESC);
Date: 2022-03-31 12:05:06 Duration: 2s166ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_keylevelsgmttimefound ON public.keylevels_results USING btree (gmttimefound DESC);
Date: 2022-03-31 12:05:06 Duration: 0ms Database: acaweb_fx_bigint User: postgres
152 5 78.45 MiB 12.41 MiB 17.59 MiB 15.69 MiB create index idx_patternclassid_patternlengthbars_resultuid on public.keylevels_results using btree (patternclassid, patternlengthbars, resultuid);-
CREATE INDEX idx_patternclassid_patternlengthbars_resultuid ON public.keylevels_results USING btree (patternclassid, patternlengthbars, resultuid);
Date: 2022-03-31 10:02:30 Duration: 9s723ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patternclassid_patternlengthbars_resultuid ON public.keylevels_results USING btree (patternclassid, patternlengthbars, resultuid);
Date: 2022-03-31 12:05:28 Duration: 4s163ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patternclassid_patternlengthbars_resultuid ON public.keylevels_results USING btree (patternclassid, patternlengthbars, resultuid);
Date: 2022-03-31 12:05:28 Duration: 0ms Database: acaweb_fx_bigint User: postgres
153 5 118.34 MiB 22.98 MiB 24.01 MiB 23.67 MiB create index idx_ar_resuid_symid_pattendtime on public.autochartist_results using btree (resultuid, symbolid, patternendtime);-
CREATE INDEX idx_ar_resuid_symid_pattendtime ON public.autochartist_results USING btree (resultuid, symbolid, patternendtime);
Date: 2022-03-31 09:54:44 Duration: 0ms Database: acaweb_fx_bigint User: postgres
154 5 48.00 KiB 8.00 KiB 16.00 KiB 9.60 KiB create index idx_pattrelrestt_ruid_fp_type_rel on public.patternresultsrelevance using btree (relevant, type) where ((relevant = ?) and (type = ?));-
CREATE INDEX idx_pattrelrestt_ruid_fp_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 1));
Date: 2022-03-31 10:02:50 Duration: 0ms Database: acaweb_fx_bigint User: postgres
155 5 303.81 MiB 51.30 MiB 70.50 MiB 60.76 MiB create index idx_t30_ps_symbolid on public.t30_ps using btree (symbolid);-
CREATE INDEX idx_t30_ps_symbolid ON public.t30_ps USING btree (symbolid);
Date: 2022-03-31 10:00:43 Duration: 1m5s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30_ps_symbolid ON public.t30_ps USING btree (symbolid);
Date: 2022-03-31 12:33:13 Duration: 15s11ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t30_ps_symbolid ON public.t30_ps USING btree (symbolid);
Date: 2022-03-31 12:33:13 Duration: 0ms Database: acaweb_fx_bigint User: postgres
156 5 78.44 MiB 15.17 MiB 16.45 MiB 15.69 MiB create index keylevels_results_patclassid_patlenbars_ruid on public.keylevels_results using btree (patternclassid, patternlengthbars, resultuid);-
CREATE INDEX keylevels_results_patclassid_patlenbars_ruid ON public.keylevels_results USING btree (patternclassid, patternlengthbars, resultuid);
Date: 2022-03-31 12:05:35 Duration: 6s793ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX keylevels_results_patclassid_patlenbars_ruid ON public.keylevels_results USING btree (patternclassid, patternlengthbars, resultuid);
Date: 2022-03-31 10:02:28 Duration: 6s253ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX keylevels_results_patclassid_patlenbars_ruid ON public.keylevels_results USING btree (patternclassid, patternlengthbars, resultuid);
Date: 2022-03-31 12:05:35 Duration: 0ms Database: acaweb_fx_bigint User: postgres
157 5 156.90 MiB 26.48 MiB 45.42 MiB 31.38 MiB create index idx_t60_ps_pricedatetime on public.t60_ps using btree (pricedatetime);-
CREATE INDEX idx_t60_ps_pricedatetime ON public.t60_ps USING btree (pricedatetime);
Date: 2022-03-31 10:04:04 Duration: 23s447ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60_ps_pricedatetime ON public.t60_ps USING btree (pricedatetime);
Date: 2022-03-31 12:33:57 Duration: 2s725ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t60_ps_pricedatetime ON public.t60_ps USING btree (pricedatetime);
Date: 2022-03-31 12:33:57 Duration: 0ms Database: acaweb_fx_bigint User: postgres
158 5 191.50 MiB 34.03 MiB 42.25 MiB 38.30 MiB create index idx_t15symbolpdt_desc on public.t15 using btree (symbolid, pricedatetime desc);-
CREATE INDEX idx_t15symbolpdt_desc ON public.t15 USING btree (symbolid, pricedatetime DESC);
Date: 2022-03-31 10:04:27 Duration: 0ms Database: acaweb_fx_bigint User: postgres
159 5 65.74 MiB 12.79 MiB 13.74 MiB 13.15 MiB create index idx_breakout on public.autochartist_results using btree (breakout);-
CREATE INDEX idx_breakout ON public.autochartist_results USING btree (breakout);
Date: 2022-03-31 09:55:11 Duration: 5s463ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_breakout ON public.autochartist_results USING btree (breakout);
Date: 2022-03-31 12:03:57 Duration: 2s270ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_breakout ON public.autochartist_results USING btree (breakout);
Date: 2022-03-31 12:03:57 Duration: 0ms Database: acaweb_fx_bigint User: postgres
160 5 130.20 MiB 22.12 MiB 29.77 MiB 26.04 MiB create index idx_patresltrel_ruid on public.patternresultsrelevance using btree (resultuid desc);-
CREATE INDEX idx_patresltrel_ruid ON public.patternresultsrelevance USING btree (resultuid DESC);
Date: 2022-03-31 12:12:08 Duration: 1m20s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltrel_ruid ON public.patternresultsrelevance USING btree (resultuid DESC);
Date: 2022-03-31 10:02:56 Duration: 33s948ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltrel_ruid ON public.patternresultsrelevance USING btree (resultuid DESC);
Date: 2022-03-31 12:12:08 Duration: 0ms Database: acaweb_fx_bigint User: postgres
161 5 65.75 MiB 9.99 MiB 15.78 MiB 13.15 MiB create index idx_autochartist_results_initialtrend on public.autochartist_results using btree (initialtrend);-
CREATE INDEX idx_autochartist_results_initialtrend ON public.autochartist_results USING btree (initialtrend);
Date: 2022-03-31 09:55:01 Duration: 23s602ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_initialtrend ON public.autochartist_results USING btree (initialtrend);
Date: 2022-03-31 12:03:39 Duration: 2s420ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_autochartist_results_initialtrend ON public.autochartist_results USING btree (initialtrend);
Date: 2022-03-31 12:03:39 Duration: 0ms Database: acaweb_fx_bigint User: postgres
162 5 605.10 MiB 118.39 MiB 124.71 MiB 121.02 MiB create index idx_t15_ps_symbolid on public.t15_ps using btree (symbolid);-
CREATE INDEX idx_t15_ps_symbolid ON public.t15_ps USING btree (symbolid);
Date: 2022-03-31 12:26:29 Duration: 2m10s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_ps_symbolid ON public.t15_ps USING btree (symbolid);
Date: 2022-03-31 09:58:35 Duration: 1m40s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_t15_ps_symbolid ON public.t15_ps USING btree (symbolid);
Date: 2022-03-31 12:26:29 Duration: 0ms Database: acaweb_fx_bigint User: postgres
163 5 64.00 KiB 8.00 KiB 16.00 KiB 12.80 KiB create index idx_pattrelrestt_ruid_bm_type_rel on public.patternresultsrelevance using btree (relevant, type) where ((relevant = ?) and (type = ?));-
CREATE INDEX idx_pattrelrestt_ruid_bm_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 5));
Date: 2022-03-31 10:02:49 Duration: 20s901ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattrelrestt_ruid_bm_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 5));
Date: 2022-03-31 12:12:08 Duration: 651ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_pattrelrestt_ruid_bm_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 5));
Date: 2022-03-31 12:12:08 Duration: 0ms Database: acaweb_fx_bigint User: postgres
164 5 366.29 MiB 65.31 MiB 101.42 MiB 73.26 MiB create index idx_ar_resultuid_lbbt_symbolid on public.autochartist_results using btree (resultid, latestbaratbreakouttime, symbolid);-
CREATE INDEX idx_ar_resultuid_lbbt_symbolid ON public.autochartist_results USING btree (resultid, latestbaratbreakouttime, symbolid);
Date: 2022-03-31 09:55:18 Duration: 1m Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_ar_resultuid_lbbt_symbolid ON public.autochartist_results USING btree (resultid, latestbaratbreakouttime, symbolid);
Date: 2022-03-31 12:03:22 Duration: 35s961ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_ar_resultuid_lbbt_symbolid ON public.autochartist_results USING btree (resultid, latestbaratbreakouttime, symbolid);
Date: 2022-03-31 12:03:22 Duration: 0ms Database: acaweb_fx_bigint User: postgres
165 4 61.32 MiB 14.57 MiB 16.97 MiB 15.33 MiB create index filters_idx on public.filters using btree (clientid);-
CREATE INDEX filters_idx ON public.filters USING btree (clientid);
Date: 2022-03-31 10:05:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
166 4 3.12 MiB 8.00 KiB 2.30 MiB 798.00 KiB alter table acresearch_corrsig_sent alter column cpresultuid type bigint;-
alter table acresearch_corrsig_sent ALTER COLUMN cpresultuid type bigint;
Date: 2022-03-31 10:26:56 Duration: 438ms Database: acaweb_fx_bigint User: postgres
-
alter table acresearch_corrsig_sent ALTER COLUMN cpresultuid type bigint;
Date: 2022-03-31 10:26:56 Duration: 0ms Database: acaweb_fx_bigint User: postgres
167 4 240.00 KiB 48.00 KiB 72.00 KiB 60.00 KiB create index idx_patresltage_ruid_cc_type on public.patternresultsage using btree (resultuid, type) where (type = ?);-
CREATE INDEX idx_patresltage_ruid_cc_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 4);
Date: 2022-03-31 10:05:29 Duration: 1s475ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltage_ruid_cc_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 4);
Date: 2022-03-31 12:06:37 Duration: 396ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltage_ruid_cc_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 4);
Date: 2022-03-31 12:06:37 Duration: 0ms Database: acaweb_fx_bigint User: postgres
168 4 78.43 MiB 18.52 MiB 20.43 MiB 19.61 MiB create index keylevels_results_patclassid_patlenbars_ruid on public.keylevels_results using btree (patternclassid, patternlengthbars, resultuid);-
CREATE INDEX keylevels_results_patclassid_patlenbars_ruid ON public.keylevels_results USING btree (patternclassid, patternlengthbars, resultuid);
Date: 2022-03-31 10:02:28 Duration: 0ms Database: acaweb_fx_bigint User: postgres
169 4 16.79 MiB 3.37 MiB 5.32 MiB 4.20 MiB refresh materialized view public.keylevels_results_relevance;-
REFRESH MATERIALIZED VIEW public.keylevels_results_relevance;
Date: 2022-03-31 10:11:36 Duration: 0ms Database: acaweb_fx_bigint User: postgres
170 4 2.05 MiB 8.00 KiB 1.42 MiB 524.00 KiB alter table only public.symbols add constraint pk_symbols primary key (symbolid);-
ALTER TABLE ONLY public.symbols ADD CONSTRAINT pk_symbols PRIMARY KEY (symbolid);
Date: 2022-03-31 10:06:09 Duration: 0ms Database: acaweb_fx_bigint User: postgres
171 4 3.12 MiB 8.00 KiB 1.73 MiB 800.00 KiB alter table acresearch_corrsig_sent alter column klresultuid type bigint;-
alter table acresearch_corrsig_sent ALTER COLUMN klresultuid type bigint;
Date: 2022-03-31 10:26:56 Duration: 393ms Database: acaweb_fx_bigint User: postgres
-
alter table acresearch_corrsig_sent ALTER COLUMN klresultuid type bigint;
Date: 2022-03-31 10:26:56 Duration: 0ms Database: acaweb_fx_bigint User: postgres
172 4 5.23 MiB 1.21 MiB 1.43 MiB 1.31 MiB create index idx_keylvlsresults_patclassid_one_patlenbars_ruid on public.keylevels_results using btree (resultuid) where (patternclassid = ?);-
CREATE INDEX idx_keylvlsresults_patclassid_one_patlenbars_ruid ON public.keylevels_results USING btree (resultuid) WHERE (patternclassid = 1);
Date: 2022-03-31 10:02:20 Duration: 0ms Database: acaweb_fx_bigint User: postgres
173 4 13.25 MiB 3.24 MiB 3.41 MiB 3.31 MiB select resultuid from relevance_bigmovement_results order by resultuid desc limit ?), results as ( select distinct on (s.symbolid) bmr.resultuid as resultuid, ? as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, bmr.patternendtime as identified, bmr.patternlengthbars, dtt.timezone as timezone, g.basegroupname, case when rbr.age is not null then rbr.age when bmr.resultuid <= rm.resultuid then ? else ? end as age, case when rbr.relevant is not null then rbr.relevant when bmr.resultuid <= rm.resultuid then ? else ? end as relevant from bigmovement_results bmr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = bmr.symbolid inner join symbols s on bmr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on bmr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on bmr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join rar_max rm on ? = ? left outer join relevance_bigmovement_results rbr on rbr.resultuid = bmr.resultuid where bmr.gmttimefound > now() - interval ? and (bmr.simulation = ? or bmr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or bmr.patternlengthbars <= ?) order by symbolid, identified desc, interval desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, interval desc;-
SELECT resultuid FROM relevance_bigmovement_results ORDER BY resultuid DESC LIMIT 1), results AS ( SELECT DISTINCT ON (s.symbolid) bmr.resultuid AS resultuid, 0 AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, bmr.patternendtime AS identified, bmr.patternlengthbars, dtt.timezone AS timezone, g.basegroupname, CASE WHEN rbr.age IS NOT NULL THEN rbr.age WHEN bmr.resultuid <= rm.resultuid THEN 4 ELSE 0 END as age, CASE WHEN rbr.relevant IS NOT NULL THEN rbr.relevant WHEN bmr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM bigmovement_results bmr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $1 AND bsl.symbolid = bmr.symbolid INNER JOIN symbols s ON bmr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON bmr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on bmr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_bigmovement_results rbr ON rbr.resultuid = bmr.resultuid WHERE bmr.gmttimefound > now() - INTERVAL '7 DAYS' AND (bmr.simulation = 0 OR bmr.simulation IS NULL) AND ($2 = 0 OR s.timegranularity in ($3)) AND ($4 = 0 OR s.exchange in ($5)) AND ($6 = 0 OR s.symbol in ($7)) AND ($8 = 0 OR bmr.patternlengthbars <= $9) ORDER BY symbolid, identified DESC, interval DESC ) SELECT * from results WHERE (FALSE = $10 OR relevant = 1) AND ($11 = 0 OR age <= $12) ORDER BY identified DESC, interval DESC;
Date: 2022-03-31 12:53:18 Duration: 0ms Database: acaweb_fx User: postgres
174 4 101.41 MiB 21.76 MiB 28.30 MiB 25.35 MiB create index ps_trumpet_test_symbolid on public.powerstats_trumpet_test using btree (symbolid);-
CREATE INDEX ps_trumpet_test_symbolid ON public.powerstats_trumpet_test USING btree (symbolid);
Date: 2022-03-31 09:59:38 Duration: 0ms Database: acaweb_fx_bigint User: postgres
175 4 59.24 MiB 11.63 MiB 19.19 MiB 14.81 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%audnzd%' AND timegranularity = 1440)) OR ((s.symbol ilike '%eurchf%' AND timegranularity = 1440)) OR ((s.symbol ilike '%usdmxn%' AND timegranularity = 1440)) OR ((s.symbol ilike '%xageur%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 565330336 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 12:00:42 Duration: 0ms Database: acaweb_fx User: postgres
176 4 101.41 MiB 22.84 MiB 28.56 MiB 25.35 MiB create index ps_trumpet_test_fromtime on public.powerstats_trumpet_test using btree (fromtime);-
CREATE INDEX ps_trumpet_test_fromtime ON public.powerstats_trumpet_test USING btree (fromtime);
Date: 2022-03-31 09:59:33 Duration: 0ms Database: acaweb_fx_bigint User: postgres
177 4 28.88 MiB 5.61 MiB 7.91 MiB 7.22 MiB create index idx_symbolid_pricedatetime on public.t1440 using btree (symbolid, pricedatetime);-
CREATE INDEX idx_symbolid_pricedatetime ON public.t1440 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:05:45 Duration: 0ms Database: acaweb_fx_bigint User: postgres
178 4 5.52 MiB 8.00 KiB 3.24 MiB 1.38 MiB alter table only public.whatshot_pref add constraint uq__whatshot__819dc76830e405ab unique (clientid);-
ALTER TABLE ONLY public.whatshot_pref ADD CONSTRAINT uq__whatshot__819dc76830e405ab UNIQUE (clientid);
Date: 2022-03-31 10:06:06 Duration: 0ms Database: acaweb_fx_bigint User: postgres
179 4 7.70 MiB 1.64 MiB 2.73 MiB 1.93 MiB create index ix_fibonacci_results_direction on public.fibonacci_results using btree (direction);-
CREATE INDEX ix_fibonacci_results_direction ON public.fibonacci_results USING btree (direction);
Date: 2022-03-31 10:05:23 Duration: 0ms Database: acaweb_fx_bigint User: postgres
180 4 7.70 MiB 1.51 MiB 2.59 MiB 1.92 MiB create index ix_fibonacci_results_symbolid on public.fibonacci_results using btree (symbolid);-
CREATE INDEX ix_fibonacci_results_symbolid ON public.fibonacci_results USING btree (symbolid);
Date: 2022-03-31 10:05:26 Duration: 0ms Database: acaweb_fx_bigint User: postgres
181 4 8.55 MiB 1.37 MiB 3.42 MiB 2.14 MiB create index ix_fibonacci_results_pattern on public.fibonacci_results using btree (pattern);-
CREATE INDEX ix_fibonacci_results_pattern ON public.fibonacci_results USING btree (pattern);
Date: 2022-03-31 10:05:25 Duration: 0ms Database: acaweb_fx_bigint User: postgres
182 4 4.91 MiB 8.00 KiB 2.70 MiB 1.23 MiB create unique index pk_hist_consecutivecandles on public.sa_hist_consecutivecandles using btree (id);-
CREATE UNIQUE INDEX pk_hist_consecutivecandles ON public.sa_hist_consecutivecandles USING btree (id);
Date: 2022-03-31 10:06:01 Duration: 0ms Database: acaweb_fx_bigint User: postgres
183 4 1.95 MiB 8.00 KiB 1.20 MiB 500.00 KiB alter table only public.datafeedstimetable_history add constraint pk_datafeedstimetable_history primary key (id);-
ALTER TABLE ONLY public.datafeedstimetable_history ADD CONSTRAINT pk_datafeedstimetable_history PRIMARY KEY (id);
Date: 2022-03-31 10:06:06 Duration: 0ms Database: acaweb_fx_bigint User: postgres
184 4 7.70 MiB 1.41 MiB 2.72 MiB 1.93 MiB create index ix_fibonacci_results_noise on public.fibonacci_results using btree (noise);-
CREATE INDEX ix_fibonacci_results_noise ON public.fibonacci_results USING btree (noise);
Date: 2022-03-31 10:05:25 Duration: 0ms Database: acaweb_fx_bigint User: postgres
185 4 7.02 MiB 8.00 KiB 4.88 MiB 1.75 MiB alter table only public.powerstats_hourly add constraint pk_powerstats_hourly primary key (symbolid, hour, enddate);-
ALTER TABLE ONLY public.powerstats_hourly ADD CONSTRAINT pk_powerstats_hourly PRIMARY KEY (symbolid, hour, enddate);
Date: 2022-03-31 10:05:58 Duration: 0ms Database: acaweb_fx_bigint User: postgres
186 4 13.73 MiB 3.05 MiB 3.95 MiB 3.43 MiB refresh materialized view public.fibonacci_results_relevance;-
REFRESH MATERIALIZED VIEW public.fibonacci_results_relevance;
Date: 2022-03-31 10:11:36 Duration: 4m56s Database: acaweb_fx_bigint User: postgres
-
REFRESH MATERIALIZED VIEW public.fibonacci_results_relevance;
Date: 2022-03-31 12:40:55 Duration: 4m27s Database: acaweb_fx_bigint User: postgres
-
REFRESH MATERIALIZED VIEW public.fibonacci_results_relevance;
Date: 2022-03-31 12:40:55 Duration: 0ms Database: acaweb_fx_bigint User: postgres
187 4 65.75 MiB 14.95 MiB 17.64 MiB 16.44 MiB create index idx_symbolid on public.autochartist_results using btree (symbolid);-
CREATE INDEX idx_symbolid ON public.autochartist_results USING btree (symbolid);
Date: 2022-03-31 09:55:16 Duration: 0ms Database: acaweb_fx_bigint User: postgres
188 4 4.91 MiB 8.00 KiB 2.55 MiB 1.23 MiB alter table only public.sa_hist_consecutivecandles add constraint sa_hist_consecutivecandles_pkey primary key (id);-
ALTER TABLE ONLY public.sa_hist_consecutivecandles ADD CONSTRAINT sa_hist_consecutivecandles_pkey PRIMARY KEY (id);
Date: 2022-03-31 10:06:02 Duration: 0ms Database: acaweb_fx_bigint User: postgres
189 4 42.21 MiB 6.48 MiB 12.54 MiB 10.55 MiB create index idx_uniqeindex_cp_relevance on public.relevance_autochartist_results_old using btree (uniqueindex);-
CREATE INDEX idx_uniqeindex_cp_relevance ON public.relevance_autochartist_results_old USING btree (uniqueindex);
Date: 2022-03-31 10:05:51 Duration: 0ms Database: acaweb_fx_bigint User: postgres
190 4 832.00 KiB 152.00 KiB 256.00 KiB 208.00 KiB create index idx_patresltage_ruid_bm_type on public.patternresultsage using btree (resultuid, type) where (type = ?);-
CREATE INDEX idx_patresltage_ruid_bm_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 5);
Date: 2022-03-31 10:05:28 Duration: 1s626ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltage_ruid_bm_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 5);
Date: 2022-03-31 12:06:37 Duration: 509ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltage_ruid_bm_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 5);
Date: 2022-03-31 12:06:37 Duration: 0ms Database: acaweb_fx_bigint User: postgres
191 4 99.38 MiB 19.79 MiB 28.58 MiB 24.85 MiB create index idx_t60pricedatetimesymbol on public.t60 using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t60pricedatetimesymbol ON public.t60 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:05:21 Duration: 0ms Database: acaweb_fx_bigint User: postgres
192 4 240.00 KiB 48.00 KiB 64.00 KiB 60.00 KiB create index idx_pattrelrestt_ruid_kl_type_rel on public.patternresultsrelevance using btree (relevant, type) where ((relevant = ?) and (type = ?));-
CREATE INDEX idx_pattrelrestt_ruid_kl_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 2));
Date: 2022-03-31 10:02:50 Duration: 0ms Database: acaweb_fx_bigint User: postgres
193 4 8.94 MiB 8.00 KiB 5.02 MiB 2.23 MiB alter table only public.relevance_autochartist_results_old add constraint pk__relevanc__f6f52bf24707859d primary key (resultuid);-
ALTER TABLE ONLY public.relevance_autochartist_results_old ADD CONSTRAINT pk__relevanc__f6f52bf24707859d PRIMARY KEY (resultuid);
Date: 2022-03-31 10:05:51 Duration: 0ms Database: acaweb_fx_bigint User: postgres
194 4 12.50 MiB 2.02 MiB 4.70 MiB 3.12 MiB create index idx_relevance_autochartist_results_rel_age_desc on public.relevance_autochartist_results_old using btree (relevant, notrelevantpricedatetime desc);-
CREATE INDEX idx_relevance_autochartist_results_rel_age_desc ON public.relevance_autochartist_results_old USING btree (relevant, notrelevantpricedatetime DESC);
Date: 2022-03-31 10:05:47 Duration: 0ms Database: acaweb_fx_bigint User: postgres
195 4 217.30 MiB 50.27 MiB 59.41 MiB 54.32 MiB create index idx_forsummarytables on public.stats_success using btree (atbaridentified, type);-
CREATE INDEX idx_forsummarytables ON public.stats_success USING btree (atbaridentified, type);
Date: 2022-03-31 10:04:31 Duration: 0ms Database: acaweb_fx_bigint User: postgres
196 4 191.51 MiB 43.92 MiB 54.20 MiB 47.88 MiB create index idx_t15pricedatetimesymbol on public.t15 using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t15pricedatetimesymbol ON public.t15 USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:04:21 Duration: 0ms Database: acaweb_fx_bigint User: postgres
197 4 14.28 MiB 3.04 MiB 4.62 MiB 3.57 MiB refresh materialized view public.fibonacci_results_relevance;-
REFRESH MATERIALIZED VIEW public.fibonacci_results_relevance;
Date: 2022-03-31 10:11:36 Duration: 0ms Database: acaweb_fx_bigint User: postgres
198 4 16.06 MiB 2.09 MiB 5.66 MiB 4.02 MiB create index idx_relevant on public.relevance_autochartist_results_old using btree (relevant, notrelevantpricedatetime, age);-
CREATE INDEX idx_relevant ON public.relevance_autochartist_results_old USING btree (relevant, notrelevantpricedatetime, age);
Date: 2022-03-31 10:05:47 Duration: 0ms Database: acaweb_fx_bigint User: postgres
199 4 5.52 MiB 8.00 KiB 3.52 MiB 1.38 MiB alter table only public.whatshot_pref add constraint whatshot_pref_pkey primary key (clientid);-
ALTER TABLE ONLY public.whatshot_pref ADD CONSTRAINT whatshot_pref_pkey PRIMARY KEY (clientid);
Date: 2022-03-31 10:06:07 Duration: 0ms Database: acaweb_fx_bigint User: postgres
200 4 3.84 MiB 8.00 KiB 2.65 MiB 984.00 KiB create unique index pk_hist_bigmove on public.sa_hist_bigmove using btree (id);-
CREATE UNIQUE INDEX pk_hist_bigmove ON public.sa_hist_bigmove USING btree (id);
Date: 2022-03-31 10:06:05 Duration: 0ms Database: acaweb_fx_bigint User: postgres
201 4 10.77 MiB 2.55 MiB 2.77 MiB 2.69 MiB create index idx_patresltage_ruid_fp_type on public.patternresultsage using btree (resultuid, type) where (type = ?);-
CREATE INDEX idx_patresltage_ruid_fp_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 1);
Date: 2022-03-31 12:06:57 Duration: 2s185ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltage_ruid_fp_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 1);
Date: 2022-03-31 10:05:30 Duration: 840ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltage_ruid_fp_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 1);
Date: 2022-03-31 12:06:57 Duration: 0ms Database: acaweb_fx_bigint User: postgres
202 4 13.58 MiB 3.04 MiB 3.59 MiB 3.39 MiB create index idx_keylvlsresults_patclassid_two_patlenbars_ruid on public.keylevels_results using btree (resultuid) where (patternclassid = ?);-
CREATE INDEX idx_keylvlsresults_patclassid_two_patlenbars_ruid ON public.keylevels_results USING btree (resultuid) WHERE (patternclassid = 2);
Date: 2022-03-31 10:02:22 Duration: 0ms Database: acaweb_fx_bigint User: postgres
203 4 3.12 MiB 8.00 KiB 2.20 MiB 798.00 KiB alter table acresearch_corrsig_sent alter column cpsymbolid type bigint;-
alter table acresearch_corrsig_sent ALTER COLUMN cpsymbolid type bigint;
Date: 2022-03-31 10:26:57 Duration: 388ms Database: acaweb_fx_bigint User: postgres
-
alter table acresearch_corrsig_sent ALTER COLUMN cpsymbolid type bigint;
Date: 2022-03-31 10:26:57 Duration: 0ms Database: acaweb_fx_bigint User: postgres
204 4 6.90 MiB 8.00 KiB 4.74 MiB 1.72 MiB create unique index idx_sa_hist_bigmove_symdtdirper on public.sa_hist_bigmove using btree (symbolid, datetime, direction, percentile);-
CREATE UNIQUE INDEX idx_sa_hist_bigmove_symdtdirper ON public.sa_hist_bigmove USING btree (symbolid, datetime, direction, percentile);
Date: 2022-03-31 10:06:04 Duration: 0ms Database: acaweb_fx_bigint User: postgres
205 4 15.57 MiB 2.41 MiB 5.06 MiB 3.89 MiB create index cpsearches_idx on public.cpsearches using btree (clientid, brokerid);-
CREATE INDEX cpsearches_idx ON public.cpsearches USING btree (clientid, brokerid);
Date: 2022-03-31 10:06:03 Duration: 0ms Database: acaweb_fx_bigint User: postgres
206 4 219.66 MiB 53.32 MiB 56.34 MiB 54.91 MiB create index idx_t60_ps_pricedatetimesymbol on public.t60_ps using btree (symbolid, pricedatetime);-
CREATE INDEX idx_t60_ps_pricedatetimesymbol ON public.t60_ps USING btree (symbolid, pricedatetime);
Date: 2022-03-31 10:04:04 Duration: 0ms Database: acaweb_fx_bigint User: postgres
207 4 7.70 MiB 1000.00 KiB 3.41 MiB 1.92 MiB create index ix_fibonacci_results_timequality on public.fibonacci_results using btree (timequality);-
CREATE INDEX ix_fibonacci_results_timequality ON public.fibonacci_results USING btree (timequality);
Date: 2022-03-31 10:05:27 Duration: 0ms Database: acaweb_fx_bigint User: postgres
208 4 8.93 MiB 1.67 MiB 2.72 MiB 2.23 MiB create index idx_rar_relevance_resultuid on public.relevance_autochartist_results_old using btree (relevant);-
CREATE INDEX idx_rar_relevance_resultuid ON public.relevance_autochartist_results_old USING btree (relevant);
Date: 2022-03-31 10:05:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
209 4 32.00 KiB 8.00 KiB 8.00 KiB 8.00 KiB create index idx_pattrelrestt_ruid_cc_type_rel on public.patternresultsrelevance using btree (relevant, type) where ((relevant = ?) and (type = ?));-
CREATE INDEX idx_pattrelrestt_ruid_cc_type_rel ON public.patternresultsrelevance USING btree (relevant, type) WHERE ((relevant = 1) AND (type = 4));
Date: 2022-03-31 10:02:49 Duration: 0ms Database: acaweb_fx_bigint User: postgres
210 4 16.25 MiB 3.11 MiB 5.01 MiB 4.06 MiB refresh materialized view public.keylevels_results_relevance;-
REFRESH MATERIALIZED VIEW public.keylevels_results_relevance;
Date: 2022-03-31 10:11:36 Duration: 4m56s Database: acaweb_fx_bigint User: postgres
-
REFRESH MATERIALIZED VIEW public.keylevels_results_relevance;
Date: 2022-03-31 12:41:27 Duration: 32s329ms Database: acaweb_fx_bigint User: postgres
-
REFRESH MATERIALIZED VIEW public.keylevels_results_relevance;
Date: 2022-03-31 12:41:27 Duration: 0ms Database: acaweb_fx_bigint User: postgres
211 4 7.70 MiB 1.48 MiB 2.60 MiB 1.93 MiB create index ix_fibonacci_results_patternendtime on public.fibonacci_results using btree (patternendtime);-
CREATE INDEX ix_fibonacci_results_patternendtime ON public.fibonacci_results USING btree (patternendtime);
Date: 2022-03-31 10:05:26 Duration: 0ms Database: acaweb_fx_bigint User: postgres
212 4 3.67 MiB 8.00 KiB 2.22 MiB 940.00 KiB alter table only public.stats_hrsapproaches_summary_2d add constraint idx_stats_hrsapproaches_summary_2d_primary primary key (statsid, category1, category2, name1, name2);-
ALTER TABLE ONLY public.stats_hrsapproaches_summary_2d ADD CONSTRAINT idx_stats_hrsapproaches_summary_2d_primary PRIMARY KEY (statsid, category1, category2, name1, name2);
Date: 2022-03-31 10:06:07 Duration: 0ms Database: acaweb_fx_bigint User: postgres
213 4 101.41 MiB 23.74 MiB 29.52 MiB 25.35 MiB create index ps_trumpet_test_dow on public.powerstats_trumpet_test using btree (dayofweek);-
CREATE INDEX ps_trumpet_test_dow ON public.powerstats_trumpet_test USING btree (dayofweek);
Date: 2022-03-31 09:59:30 Duration: 0ms Database: acaweb_fx_bigint User: postgres
214 4 7.70 MiB 344.00 KiB 4.19 MiB 1.92 MiB create index ix_fibonacci_results_errormargin on public.fibonacci_results using btree (errormargin);-
CREATE INDEX ix_fibonacci_results_errormargin ON public.fibonacci_results USING btree (errormargin);
Date: 2022-03-31 10:05:24 Duration: 0ms Database: acaweb_fx_bigint User: postgres
215 4 8.80 MiB 8.00 KiB 4.90 MiB 2.20 MiB create unique index idx_sa_hist_conscandles_symbolid_datetime_direction on public.sa_hist_consecutivecandles using btree (symbolid, datetime, direction);-
CREATE UNIQUE INDEX idx_sa_hist_conscandles_symbolid_datetime_direction ON public.sa_hist_consecutivecandles USING btree (symbolid, datetime, direction);
Date: 2022-03-31 10:06:01 Duration: 0ms Database: acaweb_fx_bigint User: postgres
216 4 56.03 MiB 13.17 MiB 14.67 MiB 14.01 MiB create index idx_keylevels_results_3 on public.keylevels_results using btree (symbolid);-
CREATE INDEX idx_keylevels_results_3 ON public.keylevels_results USING btree (symbolid);
Date: 2022-03-31 10:02:18 Duration: 0ms Database: acaweb_fx_bigint User: postgres
217 4 78.46 MiB 14.77 MiB 26.34 MiB 19.62 MiB create index idx_patresltage_ruid_kl_type on public.patternresultsage using btree (resultuid, type) where (type = ?);-
CREATE INDEX idx_patresltage_ruid_kl_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 2);
Date: 2022-03-31 12:07:13 Duration: 16s279ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltage_ruid_kl_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 2);
Date: 2022-03-31 10:05:35 Duration: 5s447ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltage_ruid_kl_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 2);
Date: 2022-03-31 12:07:13 Duration: 0ms Database: acaweb_fx_bigint User: postgres
218 4 101.41 MiB 23.52 MiB 28.23 MiB 25.35 MiB create index ps_trumpet_test_latestpricedt on public.powerstats_trumpet_test using btree (enddate);-
CREATE INDEX ps_trumpet_test_latestpricedt ON public.powerstats_trumpet_test USING btree (enddate);
Date: 2022-03-31 09:59:36 Duration: 0ms Database: acaweb_fx_bigint User: postgres
219 4 3.12 MiB 8.00 KiB 1.74 MiB 798.00 KiB alter table only public.acresearch_corrsig_sent add constraint pk__acresear__8c7de5e91b49ca47 primary key (primarykey);-
ALTER TABLE ONLY public.acresearch_corrsig_sent ADD CONSTRAINT pk__acresear__8c7de5e91b49ca47 PRIMARY KEY (primarykey);
Date: 2022-03-31 10:06:06 Duration: 0ms Database: acaweb_fx_bigint User: postgres
220 4 366.28 MiB 90.86 MiB 92.64 MiB 91.57 MiB create index idx_ar_resultuid_lbbt_symbolid on public.autochartist_results using btree (resultid, latestbaratbreakouttime, symbolid);-
CREATE INDEX idx_ar_resultuid_lbbt_symbolid ON public.autochartist_results USING btree (resultid, latestbaratbreakouttime, symbolid);
Date: 2022-03-31 09:55:18 Duration: 0ms Database: acaweb_fx_bigint User: postgres
221 4 10.16 MiB 8.00 KiB 5.62 MiB 2.54 MiB alter table only public.powerstats_hourly_test add constraint pk_powerstats_hourly_test primary key (symbolid, hour, enddate);-
ALTER TABLE ONLY public.powerstats_hourly_test ADD CONSTRAINT pk_powerstats_hourly_test PRIMARY KEY (symbolid, hour, enddate);
Date: 2022-03-31 10:05:52 Duration: 0ms Database: acaweb_fx_bigint User: postgres
222 4 7.70 MiB 1.59 MiB 2.06 MiB 1.92 MiB create index ix_fibonacci_results_averagequality on public.fibonacci_results using btree (averagequality);-
CREATE INDEX ix_fibonacci_results_averagequality ON public.fibonacci_results USING btree (averagequality);
Date: 2022-03-31 10:05:23 Duration: 0ms Database: acaweb_fx_bigint User: postgres
223 4 1.33 GiB 325.58 MiB 360.17 MiB 340.95 MiB create index idx_authlog_username_brokerid_attemptdatetime_success on public.authenticationlog using btree (username, brokerid, attemptdatetime, success);-
CREATE INDEX idx_authlog_username_brokerid_attemptdatetime_success ON public.authenticationlog USING btree (username, brokerid, attemptdatetime, success);
Date: 2022-03-31 09:59:13 Duration: 0ms Database: acaweb_fx_bigint User: postgres
224 4 92.05 MiB 21.48 MiB 24.23 MiB 23.01 MiB create index idx_patresltage_ruid_cp_type on public.patternresultsage using btree (resultuid, type) where (type = ?);-
CREATE INDEX idx_patresltage_ruid_cp_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 0);
Date: 2022-03-31 12:06:55 Duration: 17s553ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltage_ruid_cp_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 0);
Date: 2022-03-31 10:05:35 Duration: 6s639ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_patresltage_ruid_cp_type ON public.patternresultsage USING btree (resultuid, type) WHERE (type = 0);
Date: 2022-03-31 12:06:55 Duration: 0ms Database: acaweb_fx_bigint User: postgres
225 4 7.70 MiB 1.38 MiB 3.22 MiB 1.93 MiB create index ix_fibonacci_results_patternlengthbars on public.fibonacci_results using btree (patternlengthbars);-
CREATE INDEX ix_fibonacci_results_patternlengthbars ON public.fibonacci_results USING btree (patternlengthbars);
Date: 2022-03-31 10:05:26 Duration: 0ms Database: acaweb_fx_bigint User: postgres
226 3 14.01 MiB 4.28 MiB 5.12 MiB 4.67 MiB select stats_populatestatssuccess_chartpatterns (vgetint (?));-
select stats_populatestatssuccess_chartpatterns (vGetInt ('stats_latestresultuid_cp'));
Date: 2022-03-31 09:10:40 Duration: 22s816ms Database: acaweb_fx User: postgres
-
select stats_populatestatssuccess_chartpatterns (vGetInt ('stats_latestresultuid_cp'));
Date: 2022-03-31 14:03:06 Duration: 15s541ms Database: acaweb_fx User: postgres
-
select stats_populatestatssuccess_chartpatterns (vGetInt ('stats_latestresultuid_cp'));
Date: 2022-03-31 14:00:25 Duration: 12s393ms Database: acaweb_fx User: postgres
227 3 5.98 MiB 1.63 MiB 2.20 MiB 1.99 MiB create index idx_users_brokerid001 on public.users_old using btree (brokerid);-
CREATE INDEX idx_users_brokerid001 ON public.users_old USING btree (brokerid);
Date: 2022-03-31 10:05:51 Duration: 0ms Database: acaweb_fx_bigint User: postgres
228 3 544.00 KiB 120.00 KiB 272.00 KiB 181.33 KiB create index idx_whprob_ruid_wid_tp_kl on public.whatshot_probability using btree (resultuid desc, whid desc) where ((type)::text = ?::text);-
CREATE INDEX idx_whprob_ruid_wid_tp_kl ON public.whatshot_probability USING btree (resultuid DESC, whid DESC) WHERE ((type)::text = 'kl'::text);
Date: 2022-03-31 10:05:59 Duration: 0ms Database: acaweb_fx_bigint User: postgres
229 3 7.29 MiB 1.64 MiB 2.86 MiB 2.43 MiB select * from stats where description not in ( select brokername || ? || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = ?;-
select * from stats where description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = 'exchange';
Date: 2022-03-31 16:21:42 Duration: 3s201ms Database: acaweb_fx User: postgres
-
select * from stats where description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = 'exchange';
Date: 2022-03-31 16:21:39 Duration: 0ms Database: acaweb_fx User: postgres
230 3 1.30 GiB 2.23 MiB 1.00 GiB 443.55 MiB update t15_ps set symbolid = sub.symbolid from symbols sub where t15_ps.symbolid = sub.old_symbolid;-
update t15_ps set symbolid = sub.symbolid FROM symbols sub where t15_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:49:41 Duration: 1m48s Database: acaweb_fx_bigint User: postgres
-
update t15_ps set symbolid = sub.symbolid FROM symbols sub where t15_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:49:39 Duration: 0ms Database: acaweb_fx_bigint User: postgres
231 3 3.18 MiB 528.00 KiB 1.58 MiB 1.06 MiB create index idx_whprob_smblid_whid on public.whatshot_probability using btree (symbolid, whid desc);-
CREATE INDEX idx_whprob_smblid_whid ON public.whatshot_probability USING btree (symbolid, whid DESC);
Date: 2022-03-31 10:06:00 Duration: 0ms Database: acaweb_fx_bigint User: postgres
232 3 17.75 MiB 3.20 MiB 7.79 MiB 5.92 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and trendchange = ? and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%gbpusd%' AND timegranularity = 240)) OR ((s.symbol ilike '%audusd%' AND timegranularity = 240)) OR ((s.symbol ilike '%usdcad%' AND timegranularity = 240)) OR ((s.symbol ilike '%usdjpy%' AND timegranularity = 240)) OR ((s.symbol ilike '%usdchf%' AND timegranularity = 240)) OR ((s.symbol ilike '%audchf%' AND timegranularity = 240)) OR ((s.symbol ilike '%audnzd%' AND timegranularity = 240)) OR ((s.symbol ilike '%audsgd%' AND timegranularity = 240)) OR ((s.symbol ilike '%euraud%' AND timegranularity = 240)) OR ((s.symbol ilike '%audcad%' AND timegranularity = 240)) OR ((s.symbol ilike '%eurchf%' AND timegranularity = 240)) OR ((s.symbol ilike '%nzdusd%' AND timegranularity = 240)) OR ((s.symbol ilike '%eurgbp%' AND timegranularity = 240)) OR ((s.symbol ilike '%gbpaud%' AND timegranularity = 240)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity = 240))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND trendchange = 'Reversal' AND patternlengthbars >= 60 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 53123 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 570348168 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 04:43:25 Duration: 0ms Database: acaweb_fx User: postgres
233 3 3.18 MiB 520.00 KiB 1.82 MiB 1.06 MiB create index idx_whtshotprob_symid on public.whatshot_probability using btree (symbolid);-
CREATE INDEX idx_whtshotprob_symid ON public.whatshot_probability USING btree (symbolid);
Date: 2022-03-31 10:06:00 Duration: 0ms Database: acaweb_fx_bigint User: postgres
234 3 3.18 MiB 8.00 KiB 1.88 MiB 1.06 MiB create index idx_type on public.whatshot_probability using btree (type);-
CREATE INDEX idx_type ON public.whatshot_probability USING btree (type);
Date: 2022-03-31 10:05:57 Duration: 0ms Database: acaweb_fx_bigint User: postgres
235 3 65.73 MiB 19.95 MiB 24.05 MiB 21.91 MiB create index idx_breakout on public.autochartist_results using btree (breakout);-
CREATE INDEX idx_breakout ON public.autochartist_results USING btree (breakout);
Date: 2022-03-31 09:55:11 Duration: 0ms Database: acaweb_fx_bigint User: postgres
236 3 12.39 MiB 3.43 MiB 5.02 MiB 4.13 MiB create index idx_uniqeindex_kl_relevance on public.relevance_keylevels_results_old using btree (uniqueindex);-
CREATE INDEX idx_uniqeindex_kl_relevance ON public.relevance_keylevels_results_old USING btree (uniqueindex);
Date: 2022-03-31 10:06:04 Duration: 0ms Database: acaweb_fx_bigint User: postgres
237 3 10.23 MiB 114.05 KiB 6.71 MiB 3.41 MiB select distinct a.resultuid, a.breakoutbars, a.patternid, cast(a.x0 as timestamp) as x0, cast(a.x1 as timestamp) as x1, cast(x2 as timestamp) as x2, case when (x3 != ? and x3 != ?) then cast(x3 as timestamp) else cast(? as timestamp) end as x3, case when (x4 != ? and x4 != ?) then cast(x4 as timestamp) else cast(? as timestamp) end as x4, case when (x5 != ? and x5 != ?) then cast(x5 as timestamp) else cast(? as timestamp) end as x5, case when (x6 != ? and x6 != ?) then cast(x6 as timestamp) else cast(? as timestamp) end as x6, case when (x7 != ? and x7 != ?) then cast(x7 as timestamp) else cast(? as timestamp) end as x7, case when (x8 != ? and x8 != ?) then cast(x8 as timestamp) else cast(? as timestamp) end as x8, case when (x9 != ? and x9 != ?) then cast(x9 as timestamp) else cast(? as timestamp) end as x9, cast(a.atbaridentified as timestamp) as atbaridentified, cast(a.patternstarttime as timestamp) as patternstarttime, a.breakoutprice, a.symbolid, a.approachingregion, a.patternprice, a.errormargin, a.bandwidth, a.qtytp, a.patternlengthbars, a.symbolid, a.uniquepointsvalue, a.predictionpricefrom, a.predictionpriceto, a.breakout, a.direction, a.furthestprice, a.approachingtimestamp, a.atpriceidentified from keylevels_results a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid inner join relevance_keylevels_results rkl on a.resultuid = rkl.resultuid where aus.enabled = ? and rkl.relevant = ? and aus.recognitionengine ilike ?;-
SELECT DISTINCT a.resultuid, a.breakoutbars, a.patternid, CAST(a.x0 as timestamp) as x0, CAST(a.x1 as timestamp) as x1, CAST(x2 as timestamp) as x2, CASE WHEN (x3 != '' and x3 != '0') THEN CAST(x3 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x3, CASE WHEN (x4 != '' and x4 != '0') THEN CAST(x4 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x4, CASE WHEN (x5 != '' and x5 != '0') THEN CAST(x5 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x5, CASE WHEN (x6 != '' and x6 != '0') THEN CAST(x6 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x6, CASE WHEN (x7 != '' and x7 != '0') THEN CAST(x7 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x7, CASE WHEN (x8 != '' and x8 != '0') THEN CAST(x8 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x8, CASE WHEN (x9 != '' and x9 != '0') THEN CAST(x9 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x9, CAST(a.atbaridentified as timestamp) as atbaridentified, CAST(a.patternstarttime as timestamp) as patternstarttime, a.breakoutprice, a.symbolid, a.approachingregion, a.patternprice, a.errorMargin, a.bandwidth, a.qtytp, a.patternlengthbars, a.symbolid, a.uniquepointsvalue, a.predictionpricefrom, a.predictionpriceto, a.breakout, a.direction, a.furthestPrice, a.approachingtimestamp, a.atPriceIdentified FROM keylevels_results a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid INNER JOIN relevance_keylevels_results rkl on a.resultuid = rkl.resultuid WHERE aus.Enabled = 1 AND rkl.relevant = 1 AND aus.RecognitionEngine ILIKE 'infoscan - 1';
Date: 2022-03-31 16:21:19 Duration: 52ms Database: acaweb_fx User: postgres
-
SELECT DISTINCT a.resultuid, a.breakoutbars, a.patternid, CAST(a.x0 as timestamp) as x0, CAST(a.x1 as timestamp) as x1, CAST(x2 as timestamp) as x2, CASE WHEN (x3 != '' and x3 != '0') THEN CAST(x3 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x3, CASE WHEN (x4 != '' and x4 != '0') THEN CAST(x4 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x4, CASE WHEN (x5 != '' and x5 != '0') THEN CAST(x5 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x5, CASE WHEN (x6 != '' and x6 != '0') THEN CAST(x6 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x6, CASE WHEN (x7 != '' and x7 != '0') THEN CAST(x7 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x7, CASE WHEN (x8 != '' and x8 != '0') THEN CAST(x8 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x8, CASE WHEN (x9 != '' and x9 != '0') THEN CAST(x9 as timestamp) ELSE CAST('1900-01-01' as timestamp) END as x9, CAST(a.atbaridentified as timestamp) as atbaridentified, CAST(a.patternstarttime as timestamp) as patternstarttime, a.breakoutprice, a.symbolid, a.approachingregion, a.patternprice, a.errorMargin, a.bandwidth, a.qtytp, a.patternlengthbars, a.symbolid, a.uniquepointsvalue, a.predictionpricefrom, a.predictionpriceto, a.breakout, a.direction, a.furthestPrice, a.approachingtimestamp, a.atPriceIdentified FROM keylevels_results a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid INNER JOIN relevance_keylevels_results rkl on a.resultuid = rkl.resultuid WHERE aus.Enabled = 1 AND rkl.relevant = 1 AND aus.RecognitionEngine ILIKE 'infoscan - 1';
Date: 2022-03-31 16:21:19 Duration: 0ms Database: acaweb_fx User: postgres
238 3 3.81 MiB 856.00 KiB 2.12 MiB 1.27 MiB create index idx_relevant001 on public.relevance_fibonacci_results_old using btree (relevant, notrelevantpricedatetime, age);-
CREATE INDEX idx_relevant001 ON public.relevance_fibonacci_results_old USING btree (relevant, notrelevantpricedatetime, age);
Date: 2022-03-31 10:06:03 Duration: 0ms Database: acaweb_fx_bigint User: postgres
239 3 3.18 MiB 856.00 KiB 1.32 MiB 1.06 MiB create index idx_whprob_ruid on public.whatshot_probability using btree (resultuid desc);-
CREATE INDEX idx_whprob_ruid ON public.whatshot_probability USING btree (resultuid DESC);
Date: 2022-03-31 10:05:59 Duration: 0ms Database: acaweb_fx_bigint User: postgres
240 3 154.98 MiB 50.77 MiB 52.25 MiB 51.66 MiB select stats_calcstatsforspecificbroker (?);-
select stats_calcstatsforspecificbroker (572);
Date: 2022-03-31 13:34:27 Duration: 55s206ms Database: acaweb_fx User: postgres
-
select stats_calcstatsforspecificbroker (572);
Date: 2022-03-31 15:50:00 Duration: 53s173ms Database: acaweb_fx User: postgres
-
select stats_calcstatsforspecificbroker (572);
Date: 2022-03-31 13:35:46 Duration: 49s568ms Database: acaweb_fx User: postgres
241 3 7.86 MiB 2.33 MiB 3.17 MiB 2.62 MiB create index idx_users_clientid001 on public.users_old using btree (clientid);-
CREATE INDEX idx_users_clientid001 ON public.users_old USING btree (clientid);
Date: 2022-03-31 10:05:51 Duration: 0ms Database: acaweb_fx_bigint User: postgres
242 3 3.91 MiB 968.00 KiB 1.89 MiB 1.30 MiB create index idx_relevant002 on public.relevance_keylevels_results_old using btree (relevant);-
CREATE INDEX idx_relevant002 ON public.relevance_keylevels_results_old USING btree (relevant);
Date: 2022-03-31 10:06:03 Duration: 0ms Database: acaweb_fx_bigint User: postgres
243 3 9.84 MiB 2.73 MiB 4.14 MiB 3.28 MiB create index idx_mt4datafeeds on public.mt4datafeederrors using btree (datafeedname);-
CREATE INDEX idx_mt4datafeeds ON public.mt4datafeederrors USING btree (datafeedname);
Date: 2022-03-31 10:05:57 Duration: 0ms Database: acaweb_fx_bigint User: postgres
244 3 107.17 MiB 20.29 MiB 49.11 MiB 35.72 MiB select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where ss.statsid in ( select statsid from stats where (? = ? or brokerid = ?)) and atbaridentified >= (current_timestamp - interval ?) and atbaridentified <= current_timestamp and type = ? and pattern not ilike ? and (? = ? or statsid >= ?) order by ss.statsid;-
select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where ss.statsid in ( select statsid from stats where (0 = 0 or brokerid = 0)) and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'kl' and pattern not ilike '%NON_LIQUID%' and (0 = 0 OR statsid >= 0) order by ss.statsid;
Date: 2022-03-31 14:24:52 Duration: 11s526ms Database: acaweb_fx User: postgres
-
select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where ss.statsid in ( select statsid from stats where (0 = 0 or brokerid = 0)) and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'cp' and pattern not ilike '%NON_LIQUID%' and (0 = 0 OR statsid >= 0) order by ss.statsid;
Date: 2022-03-31 14:05:08 Duration: 9s850ms Database: acaweb_fx User: postgres
-
select distinct ss.statsid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where ss.statsid in ( select statsid from stats where (0 = 0 or brokerid = 0)) and atbaridentified >= (current_timestamp - interval '12 months') and atbaridentified <= current_timestamp and type = 'ekl' and pattern not ilike '%NON_LIQUID%' and (0 = 0 OR statsid >= 0) order by ss.statsid;
Date: 2022-03-31 14:27:47 Duration: 7s618ms Database: acaweb_fx User: postgres
245 3 8.91 MiB 2.45 MiB 3.38 MiB 2.97 MiB create index idx_brokerid_username_userid on public.users using btree (brokerid);-
CREATE INDEX idx_brokerid_username_userid ON public.users USING btree (brokerid);
Date: 2022-03-31 10:05:42 Duration: 0ms Database: acaweb_fx_bigint User: postgres
246 3 7.29 MiB 1.64 MiB 2.86 MiB 2.43 MiB select * from stats where description not ilike ? and description not in ( select brokername || ? || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = ?;-
select * from stats where description not ilike '%[All]%' and description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = 'exchange';
Date: 2022-03-31 16:22:38 Duration: 1s912ms Database: acaweb_fx User: postgres
-
select * from stats where description not ilike '%[All]%' and description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = 'exchange';
Date: 2022-03-31 16:22:36 Duration: 0ms Database: acaweb_fx User: postgres
247 3 2.97 MiB 640.00 KiB 1.41 MiB 1013.33 KiB create index idx_relevance_fibonacci_results_rel_age_desc on public.relevance_fibonacci_results_old using btree (relevant, notrelevantpricedatetime desc);-
CREATE INDEX idx_relevance_fibonacci_results_rel_age_desc ON public.relevance_fibonacci_results_old USING btree (relevant, notrelevantpricedatetime DESC);
Date: 2022-03-31 10:06:03 Duration: 0ms Database: acaweb_fx_bigint User: postgres
248 3 12.84 MiB 3.16 MiB 5.15 MiB 4.28 MiB create index idx_mt4datafeederrors on public.mt4datafeederrors using btree (datafeedname, eventtimestamp);-
CREATE INDEX idx_mt4datafeederrors ON public.mt4datafeederrors USING btree (datafeedname, eventtimestamp);
Date: 2022-03-31 10:05:58 Duration: 0ms Database: acaweb_fx_bigint User: postgres
249 3 11.38 MiB 3.05 MiB 4.63 MiB 3.79 MiB create index idx_users_username on public.users using btree (username);-
CREATE INDEX idx_users_username ON public.users USING btree (username);
Date: 2022-03-31 10:05:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
250 3 2.03 MiB 640.00 KiB 776.00 KiB 693.33 KiB create index idx_old_symids on symbols using btree (old_symbolid);-
create index idx_old_symids on symbols using btree (old_symbolid);
Date: 2022-03-31 12:00:28 Duration: 1s533ms Database: acaweb_fx_bigint User: postgres
-
create index idx_old_symids on symbols using btree (old_symbolid);
Date: 2022-03-31 12:00:28 Duration: 0ms Database: acaweb_fx_bigint User: postgres
251 3 7.29 MiB 1.64 MiB 2.86 MiB 2.43 MiB update stats set brokerid = ? * brokerid where statsid in ( select statsid from stats where description not ilike ? and description not in ( select brokername || ? || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = ?);-
update stats set brokerid = - 1 * brokerid where statsid in ( select statsid from stats where description not ilike '%[All]%' and description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = 'exchange');
Date: 2022-03-31 16:23:27 Duration: 1s892ms Database: acaweb_fx User: postgres
-
update stats set brokerid = - 1 * brokerid where statsid in ( select statsid from stats where description not ilike '%[All]%' and description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = 'exchange');
Date: 2022-03-31 16:23:26 Duration: 0ms Database: acaweb_fx User: postgres
252 3 11.38 MiB 3.30 MiB 4.35 MiB 3.79 MiB create index idx_users_clientid on public.users using btree (clientid);-
CREATE INDEX idx_users_clientid ON public.users USING btree (clientid);
Date: 2022-03-31 10:05:47 Duration: 0ms Database: acaweb_fx_bigint User: postgres
253 3 7.29 MiB 1.64 MiB 2.86 MiB 2.43 MiB select statsid from stats where description not ilike ? and description not in ( select brokername || ? || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = ?;-
select statsid from stats where description not ilike '%[All]%' and description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = 'exchange';
Date: 2022-03-31 16:23:10 Duration: 2s105ms Database: acaweb_fx User: postgres
-
select statsid from stats where description not ilike '%[All]%' and description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view) and groupingtype = 'exchange';
Date: 2022-03-31 16:23:08 Duration: 0ms Database: acaweb_fx User: postgres
254 3 5.98 MiB 1.55 MiB 2.79 MiB 1.99 MiB create index idx_brokerid_username_userid001 on public.users_old using btree (brokerid);-
CREATE INDEX idx_brokerid_username_userid001 ON public.users_old USING btree (brokerid);
Date: 2022-03-31 10:05:50 Duration: 0ms Database: acaweb_fx_bigint User: postgres
255 3 1.78 MiB 416.00 KiB 744.00 KiB 608.00 KiB create index idx_whprob_ruid_wid_tp_cp on public.whatshot_probability using btree (resultuid desc, whid desc) where ((type)::text = ?::text);-
CREATE INDEX idx_whprob_ruid_wid_tp_cp ON public.whatshot_probability USING btree (resultuid DESC, whid DESC) WHERE ((type)::text = 'cp'::text);
Date: 2022-03-31 10:05:59 Duration: 0ms Database: acaweb_fx_bigint User: postgres
256 3 13.25 MiB 8.00 KiB 11.57 MiB 4.42 MiB refresh materialized view public.solr_groupnames;-
REFRESH MATERIALIZED VIEW public.solr_groupnames;
Date: 2022-03-31 10:07:15 Duration: 0ms Database: acaweb_fx_bigint User: postgres
257 3 5.48 MiB 912.00 KiB 2.45 MiB 1.83 MiB create index idx_relevance_keylevels_results_rel_age_desc on public.relevance_keylevels_results_old using btree (relevant, notrelevantpricedatetime desc);-
CREATE INDEX idx_relevance_keylevels_results_rel_age_desc ON public.relevance_keylevels_results_old USING btree (relevant, notrelevantpricedatetime DESC);
Date: 2022-03-31 10:06:03 Duration: 0ms Database: acaweb_fx_bigint User: postgres
258 3 10.15 MiB 1.64 MiB 5.65 MiB 3.38 MiB select * from stats where description not in ( select brokername || ? || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view);-
select * from stats where description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view);
Date: 2022-03-31 16:20:45 Duration: 3s339ms Database: acaweb_fx User: postgres
-
select * from stats where description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view) and brokerid in ( select distinct brokerid from broker_symbol_ticker_view);
Date: 2022-03-31 16:20:37 Duration: 0ms Database: acaweb_fx User: postgres
259 3 3.18 MiB 888.00 KiB 1.37 MiB 1.06 MiB create index idx_resultuid on public.whatshot_probability using btree (resultuid);-
CREATE INDEX idx_resultuid ON public.whatshot_probability USING btree (resultuid);
Date: 2022-03-31 10:05:56 Duration: 0ms Database: acaweb_fx_bigint User: postgres
260 3 4.45 MiB 1.30 MiB 1.78 MiB 1.48 MiB create index idx_whid_percent_interval on public.whatshot_probability using btree (whid, "interval", percent);-
CREATE INDEX idx_whid_percent_interval ON public.whatshot_probability USING btree (whid, "interval", percent);
Date: 2022-03-31 10:05:58 Duration: 0ms Database: acaweb_fx_bigint User: postgres
261 3 3.92 MiB 864.00 KiB 1.95 MiB 1.31 MiB create index idx_rkr_relevance_resultuid on public.relevance_keylevels_results_old using btree (relevant);-
CREATE INDEX idx_rkr_relevance_resultuid ON public.relevance_keylevels_results_old USING btree (relevant);
Date: 2022-03-31 10:06:03 Duration: 0ms Database: acaweb_fx_bigint User: postgres
262 3 19.48 MiB 5.59 MiB 8.20 MiB 6.49 MiB create index idx_uniqeindex_fp_relevance on public.relevance_fibonacci_results_old using btree (uniqueindex);-
CREATE INDEX idx_uniqeindex_fp_relevance ON public.relevance_fibonacci_results_old USING btree (uniqueindex);
Date: 2022-03-31 10:06:05 Duration: 0ms Database: acaweb_fx_bigint User: postgres
263 3 3.43 MiB 360.00 KiB 2.12 MiB 1.14 MiB create index idx_whtshotprob_sym on public.whatshot_probability using btree (symbol);-
CREATE INDEX idx_whtshotprob_sym ON public.whatshot_probability USING btree (symbol);
Date: 2022-03-31 10:06:01 Duration: 0ms Database: acaweb_fx_bigint User: postgres
264 3 2.12 MiB 256.00 KiB 1.49 MiB 725.33 KiB create index idx_rfr_relevance_resultuid on public.relevance_fibonacci_results_old using btree (relevant);-
CREATE INDEX idx_rfr_relevance_resultuid ON public.relevance_fibonacci_results_old USING btree (relevant);
Date: 2022-03-31 10:06:03 Duration: 0ms Database: acaweb_fx_bigint User: postgres
265 3 22.74 MiB 4.39 MiB 13.96 MiB 7.58 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%gbpcad%' AND timegranularity = 15)) OR ((s.symbol ilike '%gbpjpy%' AND timegranularity = 15)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity = 15))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851401389491301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 13:26:18 Duration: 0ms Database: acaweb_fx User: postgres
266 3 26.55 MiB 3.29 MiB 11.63 MiB 8.85 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%eurchf%' AND timegranularity = 240)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity = 240)) OR ((s.symbol ilike '%gbpcad%' AND timegranularity = 240)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity = 240)) OR ((s.symbol ilike '%gbpnzd%' AND timegranularity = 240)) OR ((s.symbol ilike '%nzdusd%' AND timegranularity = 240)) OR ((s.symbol ilike '%usdjpy%' AND timegranularity = 240))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 581428875 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 12:57:23 Duration: 0ms Database: acaweb_fx User: postgres
267 2 18.48 MiB 8.57 MiB 9.91 MiB 9.24 MiB ) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? and ((rar.age is null and a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)) or rar.age >= ( case c.timegranularity when ? then ? when ? then ? when ? then ? when ? then ? when ? then ? end)) order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
) OR ((c.symbol ilike '%audchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audnzd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurgbp%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurcad%' AND timegranularity <= 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= ( case c.timegranularity when 1440 then 1 when 240 then 3 when 60 then 4 when 30 then 5 when 15 then 5 end)) ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 17:39:43 Duration: 0ms Database: acaweb_fx User: postgres
268 2 37.20 MiB 4.48 MiB 32.73 MiB 18.60 MiB alter table public.whatshot_probability alter column resultuid type bigint;-
ALTER TABLE public.whatshot_probability ALTER COLUMN resultuid type bigint;
Date: 2022-03-31 10:36:56 Duration: 1s93ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.whatshot_probability ALTER COLUMN resultuid type bigint;
Date: 2022-03-31 11:22:02 Duration: 244ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.whatshot_probability ALTER COLUMN resultuid type bigint;
Date: 2022-03-31 11:22:02 Duration: 0ms Database: acaweb_fx_bigint User: postgres
269 2 177.56 MiB 2.23 MiB 175.33 MiB 88.78 MiB update t15 set symbolid = sub.symbolid from symbols sub where t15.symbolid = sub.old_symbolid;-
update t15 set symbolid = sub.symbolid FROM symbols sub where t15.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:51:13 Duration: 39s431ms Database: acaweb_fx_bigint User: postgres
-
update t15 set symbolid = sub.symbolid FROM symbols sub where t15.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:51:13 Duration: 0ms Database: acaweb_fx_bigint User: postgres
270 2 4.44 MiB 1.64 MiB 2.79 MiB 2.22 MiB select * from stats where description not in ( select brokername || ? || exchange from broker_symbol_ticker_view) and brokerid in ( select brokerid from broker_symbol_ticker_view);-
select * from stats where description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view) and brokerid in ( select brokerid from broker_symbol_ticker_view);
Date: 2022-03-31 16:20:35 Duration: 0ms Database: acaweb_fx User: postgres
271 2 13.16 MiB 3.74 MiB 9.41 MiB 6.58 MiB select resultuid from relevance_keylevels_results order by resultuid desc limit ? ) select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as ruid, s.symbolid as sid, s.symbol as sym, longname, shortname, exchange as e, timegranularity as tg, a.patternid as pid, a.direction as d, a.patternprice as pp, atbaridentified as pet, case when (x9 != ?) then x9 when (x8 != ?) then x8 when (x7 != ?) then x7 when (x6 != ?) then x6 when (x5 != ?) then x5 when (x4 != ?) then x4 when (x3 != ?) then x3 when (x2 != ?) then x2 end as pst, patternprice as patp, x0, x1, x2, case when (x3 != ?) then x3 else ? end as x3, case when (x4 != ?) then x4 else ? end as x4, case when (x5 != ?) then x5 else ? end as x5, case when (x6 != ?) then x6 else ? end as x6, case when (x7 != ?) then x7 else ? end as x7, case when (x8 != ?) then x8 else ? end as x8, errormargin as erm, breakoutprice as pe, breakoutbars as be, breakout, atbaridentified as atbar, atpriceidentified as atprice, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzos, dtt.timezone as timezone, approachingtimestamp as apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, furthestprice as fp, newlevels.filtered, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from keylevels_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join hrspatterns p on a.patternid = p.patternid inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on a.resultuid = rar.resultuid left join lateral calc_kl_signal_filter (a.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;-
SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = $1 THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice AS pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '0' END AS x3, CASE WHEN (x4 != '') THEN x4 ELSE '0' END AS x4, CASE WHEN (x5 != '') THEN x5 ELSE '0' END AS x5, CASE WHEN (x6 != '') THEN x6 ELSE '0' END AS x6, CASE WHEN (x7 != '') THEN x7 ELSE '0' END AS x7, CASE WHEN (x8 != '') THEN x8 ELSE '0' END AS x8, errorMargin AS erm, breakoutprice AS pE, breakoutbars AS be, breakout, atbaridentified AS atBar, atpriceidentified AS atPrice, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname AS patternname, dtt.absolutetimezoneoffset AS tzOs, dtt.timezone AS timezone, approachingtimestamp AS apt, approachingregion AS apr, predictionpricefrom AS ppf, predictionpriceto AS ppt, predictiontimefrom AS ptf, predictiontimebars AS ptb, furthestprice AS fp, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM keylevels_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON a.resultuid = rar.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = $2 OR a.resultuid = $3) AND dtt.dayofweek = 3;
Date: 2022-03-31 12:31:17 Duration: 0ms Database: acaweb_fx User: postgres
272 2 13.17 MiB 4.93 MiB 8.24 MiB 6.59 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%eurcad%' AND timegranularity = 30)) OR ((s.symbol ilike '%eurgbp%' AND timegranularity = 30)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity = 30)) OR ((s.symbol ilike '%eurusd%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpaud%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpcad%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity = 30)) OR ((s.symbol ilike '%usdcad%' AND timegranularity = 30)) OR ((s.symbol ilike '%usdjpy%' AND timegranularity = 30)) OR ((s.symbol ilike '%usdchf%' AND timegranularity = 30)) OR ((s.symbol ilike '%nzdcad%' AND timegranularity = 15))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 49152 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851257784149301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 14:41:44 Duration: 0ms Database: acaweb_fx User: postgres
273 2 2.84 MiB 1.14 MiB 1.70 MiB 1.42 MiB create index idx_symbols_sym_symid_timegrn on public.symbols using btree (symbolid, timegranularity);-
CREATE INDEX idx_symbols_sym_symid_timegrn ON public.symbols USING btree (symbolid, timegranularity);
Date: 2022-03-31 10:06:09 Duration: 0ms Database: acaweb_fx_bigint User: postgres
274 2 18.70 MiB 9.33 MiB 9.38 MiB 9.35 MiB 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 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 (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 <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid, identified desc, length desc ) select * from results order by identified desc, length desc;-
WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244, $245, $246, $247, $248, $249, $250, $251, $252, $253, $254, $255, $256, $257, $258, $259, $260, $261, $262, $263, $264, $265, $266, $267, $268, $269, $270, $271, $272, $273, $274, $275, $276, $277, $278, $279, $280, $281, $282, $283, $284, $285, $286, $287, $288, $289, $290, $291, $292, $293, $294, $295, $296, $297, $298, $299, $300, $301, $302, $303, $304, $305, $306, $307, $308, $309, $310, $311, $312, $313, $314, $315, $316, $317, $318, $319, $320, $321, $322, $323, $324, $325, $326, $327, $328, $329, $330, $331, $332, $333, $334, $335, $336, $337, $338, $339, $340)) AND ($341 = 0 OR p.patternname in ($342)) AND ($343 = 0 OR kr.patternclassid in ($344, $345)) AND ($346 = 0 OR kr.patternlengthbars <= $347) ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $348 OR relevant = 1) AND ($349 = 0 OR age <= $350) ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:55:18 Duration: 0ms Database: acaweb_fx User: postgres
275 2 16.02 MiB 4.74 MiB 11.27 MiB 8.01 MiB ) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%us30%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%xauusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%wti%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851258709632301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 13:01:29 Duration: 0ms Database: acaweb_fx User: postgres
276 2 19.42 MiB 5.21 MiB 14.21 MiB 9.71 MiB ) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
) OR ((c.symbol ilike '%us2000%' AND timegranularity = 15)) OR ((c.symbol ilike '%us2000%' AND timegranularity = 30)) OR ((c.symbol ilike '%us2000%' AND timegranularity = 60)) OR ((c.symbol ilike '%us2000%' AND timegranularity = 240)) OR ((c.symbol ilike '%us2000%' AND timegranularity = 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 13:07:32 Duration: 0ms Database: acaweb_fx User: postgres
277 2 2.30 MiB 688.00 KiB 1.62 MiB 1.15 MiB create index idx_symbol on public.symbols using btree (symbol);-
CREATE INDEX idx_symbol ON public.symbols USING btree (symbol);
Date: 2022-03-31 10:06:08 Duration: 0ms Database: acaweb_fx_bigint User: postgres
278 2 65.73 MiB 31.82 MiB 33.91 MiB 32.87 MiB create index idx_autochartist_results_volumeincrease on public.autochartist_results using btree (volumeincrease);-
CREATE INDEX idx_autochartist_results_volumeincrease ON public.autochartist_results USING btree (volumeincrease);
Date: 2022-03-31 09:55:07 Duration: 0ms Database: acaweb_fx_bigint User: postgres
279 2 25.30 MiB 11.33 MiB 13.97 MiB 12.65 MiB ) or ((symbol ilike ? and timegranularity <= ?)) or ((symbol ilike ? and timegranularity <= ?)) or ((symbol ilike ? and timegranularity <= ?))) and patternlengthbars >= ? and averagequality >= ?.? and (timequality >= ?.? or timequality = ?) and errormargin >= ?.? and ? - noise >= ?.? and s.nonliquid = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and patternendprice > ? and a.resultuid > ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, averagequality desc limit ?;-
) OR ((symbol ilike '%us30%' AND timegranularity <= 1440)) OR ((symbol ilike '%xauusd%' AND timegranularity <= 1440)) OR ((symbol ilike '%wti%' AND timegranularity <= 1440))) AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 63 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 73676797 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-03-31 06:32:21 Duration: 0ms Database: acaweb_fx User: postgres
280 2 458.82 MiB 2.23 MiB 456.59 MiB 229.41 MiB update keylevels_results set symbolid = sub.symbolid from symbols sub where keylevels_results.symbolid = sub.old_symbolid;-
update keylevels_results set symbolid = sub.symbolid FROM symbols sub where keylevels_results.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:47:53 Duration: 6s205ms Database: acaweb_fx_bigint User: postgres
-
update keylevels_results set symbolid = sub.symbolid FROM symbols sub where keylevels_results.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:47:50 Duration: 0ms Database: acaweb_fx_bigint User: postgres
281 2 20.62 MiB 8.31 MiB 12.31 MiB 10.31 MiB create index idx_t1440_sastdtwrt on public.t1440 using btree (sastdatetimewritten);-
CREATE INDEX idx_t1440_sastdtwrt ON public.t1440 USING btree (sastdatetimewritten);
Date: 2022-03-31 10:05:45 Duration: 0ms Database: acaweb_fx_bigint User: postgres
282 2 21.30 MiB 9.97 MiB 11.33 MiB 10.65 MiB select tl.timezone langtimezone, t.timezone as timezone, (cast(substring(t.gmoffset, ?, ?) as double precision) * ? + cast(substring(t.gmoffset, ?, ?) as double precision)) / ? as gmoffset from timezones_vi_vn tl inner join timezones t on tl.timezoneid = t.timezoneid order by t.timezone;-
SELECT tl.timezone langTimezone, t.timezone as timezone, (cast(substring(t.gmoffset, 0, 4) as double precision) * 60 + cast(substring(t.gmoffset, 5, 2) as double precision)) / 60 as gmoffset FROM timezones_vi_VN tl INNER JOIN timezones t ON tl.timezoneid = t.timezoneid ORDER BY t.timezone;
Date: 2022-03-31 17:41:42 Duration: 0ms Database: acaweb_fx User: postgres
283 2 689.41 MiB 2.23 MiB 687.19 MiB 344.71 MiB update t30_ps set symbolid = sub.symbolid from symbols sub where t30_ps.symbolid = sub.old_symbolid;-
update t30_ps set symbolid = sub.symbolid FROM symbols sub where t30_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:50:15 Duration: 33s605ms Database: acaweb_fx_bigint User: postgres
-
update t30_ps set symbolid = sub.symbolid FROM symbols sub where t30_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:50:14 Duration: 0ms Database: acaweb_fx_bigint User: postgres
284 2 16.59 MiB 4.96 MiB 11.62 MiB 8.29 MiB select cleanupautochartistresults (?, ?, ?);-
select cleanupautochartistresults (60, 3, 60);
Date: 2022-03-31 22:17:46 Duration: 44s453ms Database: acaweb_fx User: postgres
-
select cleanupautochartistresults (15, 3, 15);
Date: 2022-03-31 22:25:37 Duration: 36s37ms Database: acaweb_fx User: postgres
-
select cleanupautochartistresults (60, 10, 60);
Date: 2022-03-31 22:10:02 Duration: 1s217ms Database: acaweb_fx User: postgres
285 2 2.03 MiB 984.00 KiB 1.07 MiB 1.02 MiB create index idx_exchange on public.symbols using btree (exchange);-
CREATE INDEX idx_exchange ON public.symbols USING btree (exchange);
Date: 2022-03-31 10:06:08 Duration: 0ms Database: acaweb_fx_bigint User: postgres
286 2 2.03 MiB 640.00 KiB 1.41 MiB 1.02 MiB create index idx_symbols_timegranularity on public.symbols using btree (timegranularity);-
CREATE INDEX idx_symbols_timegranularity ON public.symbols USING btree (timegranularity);
Date: 2022-03-31 10:06:09 Duration: 0ms Database: acaweb_fx_bigint User: postgres
287 2 47.72 MiB 2.23 MiB 45.50 MiB 23.86 MiB update t1440 set symbolid = sub.symbolid from symbols sub where t1440.symbolid = sub.old_symbolid;-
update t1440 set symbolid = sub.symbolid FROM symbols sub where t1440.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:52:53 Duration: 10s722ms Database: acaweb_fx_bigint User: postgres
-
update t1440 set symbolid = sub.symbolid FROM symbols sub where t1440.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:52:53 Duration: 0ms Database: acaweb_fx_bigint User: postgres
288 2 21.16 MiB 9.53 MiB 11.63 MiB 10.58 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%cadjpy%' AND timegranularity = 1440)) OR ((s.symbol ilike '%nzdchf%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851366968427301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 18:43:14 Duration: 0ms Database: acaweb_fx User: postgres
289 2 350.16 MiB 2.23 MiB 347.93 MiB 175.08 MiB update t60_ps set symbolid = sub.symbolid from symbols sub where t60_ps.symbolid = sub.old_symbolid;-
update t60_ps set symbolid = sub.symbolid FROM symbols sub where t60_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:50:34 Duration: 19s148ms Database: acaweb_fx_bigint User: postgres
-
update t60_ps set symbolid = sub.symbolid FROM symbols sub where t60_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:50:33 Duration: 0ms Database: acaweb_fx_bigint User: postgres
290 2 8.71 MiB 3.08 MiB 5.63 MiB 4.35 MiB select distinct a.resultuid, a.resultid, a.patternlengthbars, a.patternendtime, a.predictionpriceto, a.predictionpricefrom, a.direction, a.breakout, a.bandwidth, a.resy0, a.resy1, a.supporty0, a.supporty1, a.resx0, a.resx1, a.supportx0, a.supportx1, a.patternendprice, a.symbolid, a.resgradient, a.supportgradient from autochartist_results a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid inner join relevance_autochartist_results rev on a.resultuid = rev.resultuid where aus.enabled = ? and rev.relevant = ? and aus.recognitionengine ilike ?;-
SELECT DISTINCT a.resultuid, a.resultid, a.patternlengthbars, a.patternendtime, a.predictionpriceto, a.predictionpricefrom, a.direction, a.breakout, a.bandwidth, a.resy0, a.resy1, a.supporty0, a.supporty1, a.resx0, a.resx1, a.supportx0, a.supportx1, a.patternendprice, a.symbolid, a.resgradient, a.supportgradient FROM autochartist_results a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid INNER JOIN relevance_autochartist_results rev on a.resultuid = rev.resultuid WHERE aus.Enabled = 1 AND rev.relevant = 1 AND aus.RecognitionEngine ILIKE 'infoscan - 1';
Date: 2022-03-31 14:10:13 Duration: 265ms Database: acaweb_fx User: postgres
-
SELECT DISTINCT a.resultuid, a.resultid, a.patternlengthbars, a.patternendtime, a.predictionpriceto, a.predictionpricefrom, a.direction, a.breakout, a.bandwidth, a.resy0, a.resy1, a.supporty0, a.supporty1, a.resx0, a.resx1, a.supportx0, a.supportx1, a.patternendprice, a.symbolid, a.resgradient, a.supportgradient FROM autochartist_results a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid INNER JOIN relevance_autochartist_results rev on a.resultuid = rev.resultuid WHERE aus.Enabled = 1 AND rev.relevant = 1 AND aus.RecognitionEngine ILIKE 'infoscan - 1';
Date: 2022-03-31 16:21:19 Duration: 149ms Database: acaweb_fx User: postgres
-
SELECT DISTINCT a.resultuid, a.resultid, a.patternlengthbars, a.patternendtime, a.predictionpriceto, a.predictionpricefrom, a.direction, a.breakout, a.bandwidth, a.resy0, a.resy1, a.supporty0, a.supporty1, a.resx0, a.resx1, a.supportx0, a.supportx1, a.patternendprice, a.symbolid, a.resgradient, a.supportgradient FROM autochartist_results a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid INNER JOIN relevance_autochartist_results rev on a.resultuid = rev.resultuid WHERE aus.Enabled = 1 AND rev.relevant = 1 AND aus.RecognitionEngine ILIKE 'infoscan - 1';
Date: 2022-03-31 16:21:19 Duration: 0ms Database: acaweb_fx User: postgres
291 2 896.00 KiB 344.00 KiB 552.00 KiB 448.00 KiB create index idx_whprob_ruid_wid_tp_ekl on public.whatshot_probability using btree (resultuid desc, whid desc) where ((type)::text = ?::text);-
CREATE INDEX idx_whprob_ruid_wid_tp_ekl ON public.whatshot_probability USING btree (resultuid DESC, whid DESC) WHERE ((type)::text = 'ekl'::text);
Date: 2022-03-31 10:05:59 Duration: 0ms Database: acaweb_fx_bigint User: postgres
292 2 1.05 GiB 376.61 MiB 694.06 MiB 535.34 MiB update public.patternresultsrelevance set resultuid = sub.resultuid from autochartist_results sub where public.patternresultsrelevance.type = ? and public.patternresultsrelevance.resultuid = sub.old_resultuid;-
UPDATE public.patternresultsrelevance set resultuid = sub.resultuid FROM autochartist_results sub WHERE public.patternresultsrelevance.type = 0 and public.patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:29:44 Duration: 6m32s Database: acaweb_fx_bigint User: postgres
-
UPDATE public.patternresultsrelevance set resultuid = sub.resultuid FROM autochartist_results sub WHERE public.patternresultsrelevance.type = 0 and public.patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:28:01 Duration: 0ms Database: acaweb_fx_bigint User: postgres
293 2 5.00 MiB 8.00 KiB 4.99 MiB 2.50 MiB create index ix_table1 on public.powerstats_hourly using btree (symbolid);-
CREATE INDEX ix_table1 ON public.powerstats_hourly USING btree (symbolid);
Date: 2022-03-31 10:05:56 Duration: 0ms Database: acaweb_fx_bigint User: postgres
294 2 136.97 MiB 2.23 MiB 134.75 MiB 68.49 MiB update t240 set symbolid = sub.symbolid from symbols sub where t240.symbolid = sub.old_symbolid;-
update t240 set symbolid = sub.symbolid FROM symbols sub where t240.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:52:42 Duration: 30s801ms Database: acaweb_fx_bigint User: postgres
-
update t240 set symbolid = sub.symbolid FROM symbols sub where t240.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:52:42 Duration: 0ms Database: acaweb_fx_bigint User: postgres
295 2 413.57 MiB 2.23 MiB 411.35 MiB 206.79 MiB update powerstats_trumpet set symbolid = sub.symbolid from symbols sub where powerstats_trumpet.symbolid = sub.old_symbolid;-
update powerstats_trumpet set symbolid = sub.symbolid FROM symbols sub where powerstats_trumpet.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:53:43 Duration: 49s789ms Database: acaweb_fx_bigint User: postgres
-
update powerstats_trumpet set symbolid = sub.symbolid FROM symbols sub where powerstats_trumpet.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:53:42 Duration: 0ms Database: acaweb_fx_bigint User: postgres
296 2 9.31 MiB 4.66 MiB 4.66 MiB 4.66 MiB ) or ((symbol ilike ? and timegranularity <= ?)) or ((symbol ilike ? and timegranularity <= ?)) or ((symbol ilike ? and timegranularity <= ?))) and patternlengthbars >= ? and averagequality >= ?.? and (timequality >= ?.? or timequality = ?) and errormargin >= ?.? and ? - noise >= ?.? and s.nonliquid = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and patternendprice = ? and a.resultuid > ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, averagequality desc limit ?;-
) OR ((symbol ilike '%us30%' AND timegranularity <= 1440)) OR ((symbol ilike '%xauusd%' AND timegranularity <= 1440)) OR ((symbol ilike '%wti%' AND timegranularity <= 1440))) AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 63 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice = - 1 AND a.resultuid > 515851756042528302 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-03-31 13:22:08 Duration: 0ms Database: acaweb_fx User: postgres
297 2 3.11 MiB 1.41 MiB 1.70 MiB 1.55 MiB create index idx_symbolid_symbol_symbols on public.symbols using btree (symbolid, symbol);-
CREATE INDEX idx_symbolid_symbol_symbols ON public.symbols USING btree (symbolid, symbol);
Date: 2022-03-31 10:06:08 Duration: 0ms Database: acaweb_fx_bigint User: postgres
298 2 1.72 MiB 376.00 KiB 1.35 MiB 880.00 KiB create index idx_stats_hrsapproaches_summary_name2 on public.stats_hrsapproaches_summary_2d using btree (name2);-
CREATE INDEX idx_stats_hrsapproaches_summary_name2 ON public.stats_hrsapproaches_summary_2d USING btree (name2);
Date: 2022-03-31 10:06:07 Duration: 0ms Database: acaweb_fx_bigint User: postgres
299 2 5.00 MiB 2.09 MiB 2.91 MiB 2.50 MiB create index idx_ps_hourly_symbolid on public.powerstats_hourly using btree (symbolid);-
CREATE INDEX idx_ps_hourly_symbolid ON public.powerstats_hourly USING btree (symbolid);
Date: 2022-03-31 10:05:55 Duration: 0ms Database: acaweb_fx_bigint User: postgres
300 2 7.24 MiB 3.33 MiB 3.91 MiB 3.62 MiB create index ix_ps_hourly_test on public.powerstats_hourly_test using btree (symbolid);-
CREATE INDEX ix_ps_hourly_test ON public.powerstats_hourly_test USING btree (symbolid);
Date: 2022-03-31 10:05:51 Duration: 0ms Database: acaweb_fx_bigint User: postgres
301 2 12.66 MiB 2.23 MiB 10.44 MiB 6.33 MiB update acresearch_corrsig_sent set cpsymbolid = sub.symbolid from symbols sub where acresearch_corrsig_sent.cpsymbolid = sub.old_symbolid and acresearch_corrsig_sent.cpsymbolid <> sub.symbolid;-
update acresearch_corrsig_sent set cpsymbolid = sub.symbolid from symbols sub where acresearch_corrsig_sent.cpsymbolid = sub.old_symbolid and acresearch_corrsig_sent.cpsymbolid <> sub.symbolid;
Date: 2022-03-31 12:00:43 Duration: 1s946ms Database: acaweb_fx_bigint User: postgres
-
update acresearch_corrsig_sent set cpsymbolid = sub.symbolid from symbols sub where acresearch_corrsig_sent.cpsymbolid = sub.old_symbolid and acresearch_corrsig_sent.cpsymbolid <> sub.symbolid;
Date: 2022-03-31 12:00:42 Duration: 0ms Database: acaweb_fx_bigint User: postgres
302 2 4.99 MiB 2.12 MiB 2.88 MiB 2.50 MiB create index idx_ps_hourly_enddate on public.powerstats_hourly using btree (enddate);-
CREATE INDEX idx_ps_hourly_enddate ON public.powerstats_hourly USING btree (enddate);
Date: 2022-03-31 10:05:54 Duration: 0ms Database: acaweb_fx_bigint User: postgres
303 2 5.73 MiB 2.41 MiB 3.31 MiB 2.86 MiB create index pk_usage_latestlogin on public.usage_latestlogin using btree (clientid, brokerid, appname);-
CREATE INDEX pk_usage_latestlogin ON public.usage_latestlogin USING btree (clientid, brokerid, appname);
Date: 2022-03-31 10:06:05 Duration: 0ms Database: acaweb_fx_bigint User: postgres
304 2 14.55 MiB 7.27 MiB 7.27 MiB 7.27 MiB with a as ( select *, row_number() over (partition by symbolid, percentile, direction order by datetime desc) r from sa_hist_bigmove ) select distinct a.symbolid, a.return, a.percentile, a.direction from a inner join symbols s on a.symbolid = s.symbolid inner join autochartist_stocklist aus on s.symbolid = aus.symbolid where aus.enabled = ? and a.r = ? and aus.recognitionengine ilike ? order by a.symbolid, a.direction desc, a.percentile desc;-
WITH a AS ( SELECT *, row_number() OVER (PARTITION BY symbolid, percentile, direction ORDER BY datetime DESC) r FROM sa_hist_bigmove ) SELECT DISTINCT a.symbolid, a.return, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'INFOSCAN - 1' ORDER BY a.symbolid, a.direction desc, a.percentile desc;
Date: 2022-03-31 16:21:20 Duration: 310ms Database: acaweb_fx User: postgres
-
WITH a AS ( SELECT *, row_number() OVER (PARTITION BY symbolid, percentile, direction ORDER BY datetime DESC) r FROM sa_hist_bigmove ) SELECT DISTINCT a.symbolid, a.return, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'INFOSCAN - 1' ORDER BY a.symbolid, a.direction desc, a.percentile desc;
Date: 2022-03-31 14:10:14 Duration: 282ms Database: acaweb_fx User: postgres
-
WITH a AS ( SELECT *, row_number() OVER (PARTITION BY symbolid, percentile, direction ORDER BY datetime DESC) r FROM sa_hist_bigmove ) SELECT DISTINCT a.symbolid, a.return, a.percentile, a.direction FROM a INNER JOIN symbols s on a.symbolid = s.symbolid INNER JOIN autochartist_stocklist aus on s.symbolid = aus.symbolid WHERE aus.Enabled = 1 AND a.r = 1 AND aus.RecognitionEngine ILIKE 'INFOSCAN - 1' ORDER BY a.symbolid, a.direction desc, a.percentile desc;
Date: 2022-03-31 16:21:20 Duration: 0ms Database: acaweb_fx User: postgres
305 2 8.91 MiB 3.87 MiB 5.05 MiB 4.46 MiB create index idx_users_brokerid on public.users using btree (brokerid);-
CREATE INDEX idx_users_brokerid ON public.users USING btree (brokerid);
Date: 2022-03-31 10:05:42 Duration: 0ms Database: acaweb_fx_bigint User: postgres
306 2 7.24 MiB 3.24 MiB 4.00 MiB 3.62 MiB create index idx_ps_hourly_test_enddate on public.powerstats_hourly_test using btree (enddate);-
CREATE INDEX idx_ps_hourly_test_enddate ON public.powerstats_hourly_test USING btree (enddate);
Date: 2022-03-31 10:05:51 Duration: 0ms Database: acaweb_fx_bigint User: postgres
307 2 7.24 MiB 2.95 MiB 4.29 MiB 3.62 MiB create index idx_ps_hourly_test_symbolid on public.powerstats_hourly_test using btree (symbolid);-
CREATE INDEX idx_ps_hourly_test_symbolid ON public.powerstats_hourly_test USING btree (symbolid);
Date: 2022-03-31 10:05:51 Duration: 0ms Database: acaweb_fx_bigint User: postgres
308 2 154.58 MiB 2.23 MiB 152.36 MiB 77.29 MiB update t30 set symbolid = sub.symbolid from symbols sub where t30.symbolid = sub.old_symbolid;-
update t30 set symbolid = sub.symbolid FROM symbols sub where t30.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:51:46 Duration: 32s537ms Database: acaweb_fx_bigint User: postgres
-
update t30 set symbolid = sub.symbolid FROM symbols sub where t30.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:51:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
309 2 152.85 MiB 2.23 MiB 150.62 MiB 76.42 MiB update t60 set symbolid = sub.symbolid from symbols sub where t60.symbolid = sub.old_symbolid;-
update t60 set symbolid = sub.symbolid FROM symbols sub where t60.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:52:12 Duration: 25s672ms Database: acaweb_fx_bigint User: postgres
-
update t60 set symbolid = sub.symbolid FROM symbols sub where t60.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:52:11 Duration: 0ms Database: acaweb_fx_bigint User: postgres
310 1 158.64 MiB 158.64 MiB 158.64 MiB 158.64 MiB update public.whatshot_probability set resultuid = sub.resultuid from autochartist_results sub where public.whatshot_probability.type ilike ? and public.whatshot_probability.resultuid = sub.old_resultuid;-
UPDATE public.whatshot_probability set resultuid = sub.resultuid FROM autochartist_results sub WHERE public.whatshot_probability.type ilike 'cp' and public.whatshot_probability.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:43:35 Duration: 1m56s Database: acaweb_fx_bigint User: postgres
-
UPDATE public.whatshot_probability set resultuid = sub.resultuid FROM autochartist_results sub WHERE public.whatshot_probability.type ilike 'cp' and public.whatshot_probability.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:43:24 Duration: 0ms Database: acaweb_fx_bigint User: postgres
311 1 14.21 MiB 14.21 MiB 14.21 MiB 14.21 MiB )) and patternlengthbars >= ? and averagequality >= ?.? and (timequality >= ?.? or timequality = ?) and errormargin >= ?.? and ? - noise >= ?.? and s.nonliquid = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and patternendprice > ? and a.resultuid > ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, averagequality desc limit ?;-
)) AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 63 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice > - 1 AND a.resultuid > 73016713 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-03-31 12:50:02 Duration: 0ms Database: acaweb_fx User: postgres
312 1 11.63 MiB 11.63 MiB 11.63 MiB 11.63 MiB ) or ((s.symbol ilike ? and timegranularity = ?))) and breakout = ? and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%sekjpy%' AND timegranularity = 1440))) AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582608243 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 11:36:10 Duration: 0ms Database: acaweb_fx User: postgres
313 1 4.44 MiB 4.44 MiB 4.44 MiB 4.44 MiB ) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? and ((rar.age is null and a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?)) or rar.age >= ?) order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%audchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audnzd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%cadchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%cadjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurgbp%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpcad%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdcad%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%usdchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%usdjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurcad%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.6 AND initialtrend >= 0.0 AND symmetry >= 0.6 AND noise <= 0.19999999999999996 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 61319 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= 1) ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 16:20:38 Duration: 0ms Database: acaweb_fx User: postgres
314 1 4.82 MiB 4.82 MiB 4.82 MiB 4.82 MiB ) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?)) or ((c.symbol ilike ? and timegranularity <= ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
) OR ((c.symbol ilike '%audchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%audnzd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%cadjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurgbp%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdcad%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%nzdusd%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdchf%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%usdjpy%' AND timegranularity <= 1440)) OR ((c.symbol ilike '%eurcad%' AND timegranularity <= 1440))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 16:22:23 Duration: 0ms Database: acaweb_fx User: postgres
315 1 167.54 MiB 167.54 MiB 167.54 MiB 167.54 MiB copy ( select array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ?) as broker_ids, string_to_array(coalesce(replace(broker_symbol_mappings, ?, ?), ?), ?) as broker_symbol_mappings, replace(exchange, ?, ?) as exchange, symbol_id, replace(symbol, ?, ?) as symbol, replace(short_name, ?, ?) as short_name, replace(long_name, ?, ?) as long_name, interval, replace(timezone, ?, ?) as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ?) as search_groups, string_to_array(pattern_basegroupnames, ?) as base_groups, simulation from solr_fetch_results_bm_and_cc (?::character varying, current_timestamp::timestamp without time zone)) t) to ?;-
COPY ( select /*_solr_fetch_results_bm_and_cc_*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation from solr_fetch_results_bm_and_cc ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_bm_and_cc_acaweb_fx.json';
Date: 2022-03-31 13:47:40 Duration: 4s666ms Database: acaweb_fx User: postgres
-
COPY ( select /*_solr_fetch_results_bm_and_cc_*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation from solr_fetch_results_bm_and_cc ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_bm_and_cc_acaweb_fx.json';
Date: 2022-03-31 13:48:30 Duration: 97ms Database: acaweb_fx User: postgres
-
COPY ( select /*_solr_fetch_results_bm_and_cc_*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation from solr_fetch_results_bm_and_cc ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_bm_and_cc_acaweb_fx.json';
Date: 2022-03-31 13:47:36 Duration: 0ms Database: acaweb_fx User: postgres
316 1 434.98 MiB 434.98 MiB 434.98 MiB 434.98 MiB update public.powerstats_trumpet set symbolid = sub.symbolid from symbols sub where public.powerstats_trumpet.symbolid = sub.old_symbolid;-
UPDATE public.powerstats_trumpet set symbolid = sub.symbolid FROM symbols sub where public.powerstats_trumpet.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:52:10 Duration: 46s621ms Database: acaweb_fx_bigint User: postgres
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UPDATE public.powerstats_trumpet set symbolid = sub.symbolid FROM symbols sub where public.powerstats_trumpet.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:51:52 Duration: 0ms Database: acaweb_fx_bigint User: postgres
317 1 1.47 GiB 1.47 GiB 1.47 GiB 1.47 GiB update public.t15_ps set symbolid = sub.symbolid from symbols sub where public.t15_ps.symbolid = sub.old_symbolid;-
UPDATE public.t15_ps set symbolid = sub.symbolid FROM symbols sub where public.t15_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:04:45 Duration: 4m13s Database: acaweb_fx_bigint User: postgres
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UPDATE public.t15_ps set symbolid = sub.symbolid FROM symbols sub where public.t15_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:02:29 Duration: 0ms Database: acaweb_fx_bigint User: postgres
318 1 5.46 MiB 5.46 MiB 5.46 MiB 5.46 MiB ) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?))) and breakout = ? and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? and ((rar.age is null and a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?)) or rar.age >= ?) order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%audchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audnzd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%cadchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%cadjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurgbp%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpcad%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdcad%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%usdchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%usdjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurcad%' AND timegranularity <= 1440))) AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.6 AND initialtrend >= 0.0 AND symmetry >= 0.4 AND noise <= 0.19999999999999996 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 61319 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 AND ((rar.age IS NULL AND a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1)) OR rar.age >= 1) ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 16:10:57 Duration: 0ms Database: acaweb_fx User: postgres
319 1 567.72 MiB 567.72 MiB 567.72 MiB 567.72 MiB update autochartist_results set symbolid = sub.symbolid from symbols sub where autochartist_results.symbolid = sub.old_symbolid;-
update autochartist_results set symbolid = sub.symbolid FROM symbols sub where autochartist_results.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:47:47 Duration: 1m10s Database: acaweb_fx_bigint User: postgres
-
update autochartist_results set symbolid = sub.symbolid FROM symbols sub where autochartist_results.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:47:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
320 1 9.63 MiB 9.63 MiB 9.63 MiB 9.63 MiB t.pricedatetime as pricedatetime, t.open as open, t.high as high, t.low as low, t.close "..." close, t.volume as volume, t.bsf as bsf from t60 t where t.symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?;-
T.PriceDateTime AS pricedatetime, T.Open AS open, T.High AS high, T.Low AS low, T.Close AS close, T.Volume AS volume, T.BSF AS bsf FROM T60 T WHERE T.symbolid = $1 AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 400;
Date: 2022-03-31 10:04:00 Duration: 0ms Database: acaweb_fx User: postgres
321 1 683.00 MiB 683.00 MiB 683.00 MiB 683.00 MiB alter table public.stats_success alter column symbolid type bigint;-
ALTER TABLE public.stats_success ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:56 Duration: 27s13ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.stats_success ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
322 1 11.63 MiB 11.63 MiB 11.63 MiB 11.63 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout = ? and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%audjpy%' AND timegranularity = 30)) OR ((s.symbol ilike '%audusd%' AND timegranularity = 30)) OR ((s.symbol ilike '%chfjpy%' AND timegranularity = 30)) OR ((s.symbol ilike '%euraud%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpcad%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpnzd%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity = 30)) OR ((s.symbol ilike '%nzdchf%' AND timegranularity = 30)) OR ((s.symbol ilike '%nzdusd%' AND timegranularity = 30)) OR ((s.symbol ilike '%usdcad%' AND timegranularity = 30))) AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582571452 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 12:16:50 Duration: 0ms Database: acaweb_fx User: postgres
323 1 166.11 MiB 166.11 MiB 166.11 MiB 166.11 MiB update public.t240 set symbolid = sub.symbolid from symbols sub where public.t240.symbolid = sub.old_symbolid;-
UPDATE public.t240 set symbolid = sub.symbolid FROM symbols sub where public.t240.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:05:01 Duration: 13s565ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.t240 set symbolid = sub.symbolid FROM symbols sub where public.t240.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:04:58 Duration: 0ms Database: acaweb_fx_bigint User: postgres
324 1 2.03 MiB 2.03 MiB 2.03 MiB 2.03 MiB create index idx_sym_old on symbols using btree (old_symbolid);-
create index idx_sym_old on symbols using btree (old_symbolid);
Date: 2022-03-31 10:19:56 Duration: 58ms Database: acaweb_fx_bigint User: postgres
-
create index idx_sym_old on symbols using btree (old_symbolid);
Date: 2022-03-31 10:19:56 Duration: 0ms Database: acaweb_fx_bigint User: postgres
325 1 8.02 MiB 8.02 MiB 8.02 MiB 8.02 MiB ) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
) OR ((c.symbol ilike '%audusd%' AND timegranularity = 60)) OR ((c.symbol ilike '%cadchf%' AND timegranularity = 60)) OR ((c.symbol ilike '%euraud%' AND timegranularity = 60)) OR ((c.symbol ilike '%eurcad%' AND timegranularity = 60)) OR ((c.symbol ilike '%eurchf%' AND timegranularity = 60)) OR ((c.symbol ilike '%eurjpy%' AND timegranularity = 60)) OR ((c.symbol ilike '%eurnzd%' AND timegranularity = 60)) OR ((c.symbol ilike '%eurusd%' AND timegranularity = 60)) OR ((c.symbol ilike '%gbpjpy%' AND timegranularity = 60)) OR ((c.symbol ilike '%gbpnzd%' AND timegranularity = 60)) OR ((c.symbol ilike '%gbpusd%' AND timegranularity = 60)) OR ((c.symbol ilike '%nzdchf%' AND timegranularity = 60)) OR ((c.symbol ilike '%usdcad%' AND timegranularity = 60)) OR ((c.symbol ilike '%nzdusd%' AND timegranularity = 60))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 13:27:46 Duration: 0ms Database: acaweb_fx User: postgres
326 1 302.41 MiB 302.41 MiB 302.41 MiB 302.41 MiB alter table autochartist_results add constraint idx_firstemerging_chartpattern unique (breakout, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, symbolid);-
ALTER TABLE autochartist_results ADD CONSTRAINT idx_firstemerging_chartpattern UNIQUE (breakout, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, symbolid);
Date: 2022-03-31 12:02:27 Duration: 21s781ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE autochartist_results ADD CONSTRAINT idx_firstemerging_chartpattern UNIQUE (breakout, resx0, resx1, supportx0, supportx1, resy0, resy1, supporty0, supporty1, symbolid);
Date: 2022-03-31 12:02:27 Duration: 0ms Database: acaweb_fx_bigint User: postgres
327 1 124.17 MiB 124.17 MiB 124.17 MiB 124.17 MiB update public.autochartist_resultchanges set resultuid = sub.resultuid from keylevels_results sub where public.autochartist_resultchanges.resultuid = sub.old_resultuid;-
UPDATE public.autochartist_resultchanges set resultuid = sub.resultuid FROM keylevels_results sub WHERE public.autochartist_resultchanges.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:45:48 Duration: 46s792ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.autochartist_resultchanges set resultuid = sub.resultuid FROM keylevels_results sub WHERE public.autochartist_resultchanges.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:45:48 Duration: 0ms Database: acaweb_fx_bigint User: postgres
328 1 134.15 MiB 134.15 MiB 134.15 MiB 134.15 MiB update public.whatshot_probability set resultuid = sub.resultuid from keylevels_results sub where public.whatshot_probability.type ilike any (array[?, ?]) and public.whatshot_probability.resultuid = sub.old_resultuid;-
UPDATE public.whatshot_probability set resultuid = sub.resultuid FROM keylevels_results sub WHERE public.whatshot_probability.type ilike any (array['kl', 'ekl']) and public.whatshot_probability.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:44:32 Duration: 56s959ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.whatshot_probability set resultuid = sub.resultuid FROM keylevels_results sub WHERE public.whatshot_probability.type ilike any (array['kl', 'ekl']) and public.whatshot_probability.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:44:28 Duration: 0ms Database: acaweb_fx_bigint User: postgres
329 1 9.51 MiB 9.51 MiB 9.51 MiB 9.51 MiB ) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%xagusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audusd%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515978695776036301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 16:00:56 Duration: 0ms Database: acaweb_fx User: postgres
330 1 599.11 MiB 599.11 MiB 599.11 MiB 599.11 MiB update public.stats_success set resultuid = sub.resultuid from autochartist_results sub where public.stats_success.type ilike ? and public.stats_success.resultuid = sub.old_resultuid;-
UPDATE public.stats_success set resultuid = sub.resultuid FROM autochartist_results sub WHERE public.stats_success.type ilike 'cp' and public.stats_success.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:38:57 Duration: 5m18s Database: acaweb_fx_bigint User: postgres
-
UPDATE public.stats_success set resultuid = sub.resultuid FROM autochartist_results sub WHERE public.stats_success.type ilike 'cp' and public.stats_success.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:37:31 Duration: 0ms Database: acaweb_fx_bigint User: postgres
331 1 303.81 MiB 303.81 MiB 303.81 MiB 303.81 MiB create index idx_t30_ps_symbolid on public.t30_ps using btree (symbolid);-
CREATE INDEX idx_t30_ps_symbolid ON public.t30_ps USING btree (symbolid);
Date: 2022-03-31 10:00:43 Duration: 0ms Database: acaweb_fx_bigint User: postgres
332 1 13.55 MiB 13.55 MiB 13.55 MiB 13.55 MiB alter table public.symbolgroup alter column groupid type bigint;-
ALTER TABLE public.symbolgroup ALTER COLUMN groupid type bigint;
Date: 2022-03-31 10:34:43 Duration: 604ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.symbolgroup ALTER COLUMN groupid type bigint;
Date: 2022-03-31 10:34:43 Duration: 0ms Database: acaweb_fx_bigint User: postgres
333 1 34.80 MiB 34.80 MiB 34.80 MiB 34.80 MiB alter table public.powerstats_hourly_test alter column symbolid type bigint;-
ALTER TABLE public.powerstats_hourly_test ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:15 Duration: 824ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.powerstats_hourly_test ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:15 Duration: 0ms Database: acaweb_fx_bigint User: postgres
334 1 182.30 MiB 182.30 MiB 182.30 MiB 182.30 MiB alter table patternresultsrelevance add constraint pk_pattresultsrelev_ruid_type primary key (resultuid, type);-
ALTER TABLE patternresultsrelevance ADD CONSTRAINT pk_pattresultsrelev_ruid_type PRIMARY KEY (resultuid, type);
Date: 2022-03-31 12:10:48 Duration: 3m34s Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE patternresultsrelevance ADD CONSTRAINT pk_pattresultsrelev_ruid_type PRIMARY KEY (resultuid, type);
Date: 2022-03-31 12:10:47 Duration: 0ms Database: acaweb_fx_bigint User: postgres
335 1 4.93 MiB 4.93 MiB 4.93 MiB 4.93 MiB ) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%audchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audnzd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%cadchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%cadjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurcad%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurgbp%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpnzd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpcad%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdcad%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%usdcad%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%usdchf%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.7 AND initialtrend >= 0.0 AND symmetry >= 0.5 AND noise <= 0.5 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 61319 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851414066766301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 13:01:03 Duration: 0ms Database: acaweb_fx User: postgres
336 1 745.09 MiB 745.09 MiB 745.09 MiB 745.09 MiB alter table public.stats_success alter column resultuid type bigint;-
ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;
Date: 2022-03-31 10:36:55 Duration: 30s85ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;
Date: 2022-03-31 10:36:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
337 1 4.88 MiB 4.88 MiB 4.88 MiB 4.88 MiB select stats_populatestatssuccess_chartpatterns (( select coalesce(vgetbigint (?), ?)), true);-
select stats_populatestatssuccess_chartpatterns (( select coalesce(vGetBigInt ('stats_latestresultuid_cp'), 0)), true);
Date: 2022-03-31 02:00:31 Duration: 30s733ms Database: acaweb_fx User: postgres
-
select stats_populatestatssuccess_chartpatterns (( select coalesce(vGetBigInt ('stats_latestresultuid_cp'), 0)), true);
Date: 2022-03-31 02:00:31 Duration: 0ms Database: acaweb_fx User: postgres
338 1 14.02 MiB 14.02 MiB 14.02 MiB 14.02 MiB ) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?))) and breakout = ? and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurnzd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpnzd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity <= 1440))) AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 07:57:16 Duration: 0ms Database: acaweb_fx User: postgres
339 1 3.29 MiB 3.29 MiB 3.29 MiB 3.29 MiB ) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurnzd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpnzd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582631270 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 12:01:21 Duration: 0ms Database: acaweb_fx User: postgres
340 1 9.07 MiB 9.07 MiB 9.07 MiB 9.07 MiB alter table public.t5 alter column symbolid type bigint;-
ALTER TABLE public.t5 ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:33:27 Duration: 568ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.t5 ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:33:27 Duration: 0ms Database: acaweb_fx_bigint User: postgres
341 1 124.84 MiB 124.84 MiB 124.84 MiB 124.84 MiB alter table t30 add constraint pk_t30 primary key (pricedatetime, symbolid);-
ALTER TABLE t30 ADD CONSTRAINT pk_t30 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:33:34 Duration: 21s516ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE t30 ADD CONSTRAINT pk_t30 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:33:34 Duration: 0ms Database: acaweb_fx_bigint User: postgres
342 1 5.38 MiB 5.38 MiB 5.38 MiB 5.38 MiB select tl.timezone langtimezone, t.timezone as timezone, (cast(substring(t.gmoffset, ?, ?) as double precision) * ? + cast(substring(t.gmoffset, ?, ?) as double precision)) / ? as gmoffset from timezones_th_th tl inner join timezones t on tl.timezoneid = t.timezoneid order by t.timezone;-
SELECT tl.timezone langTimezone, t.timezone as timezone, (cast(substring(t.gmoffset, 0, 4) as double precision) * 60 + cast(substring(t.gmoffset, 5, 2) as double precision)) / 60 as gmoffset FROM timezones_th_TH tl INNER JOIN timezones t ON tl.timezoneid = t.timezoneid ORDER BY t.timezone;
Date: 2022-03-31 16:14:30 Duration: 0ms Database: acaweb_fx User: postgres
343 1 219.70 MiB 219.70 MiB 219.70 MiB 219.70 MiB alter table t60_ps add constraint pk_t60_ps primary key (pricedatetime, symbolid);-
ALTER TABLE t60_ps ADD CONSTRAINT pk_t60_ps PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:33:55 Duration: 12s186ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE t60_ps ADD CONSTRAINT pk_t60_ps PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:33:55 Duration: 0ms Database: acaweb_fx_bigint User: postgres
344 1 21.00 MiB 21.00 MiB 21.00 MiB 21.00 MiB update public.t5 set symbolid = sub.symbolid from symbols sub where public.t5.symbolid = sub.old_symbolid;-
UPDATE public.t5 set symbolid = sub.symbolid FROM symbols sub where public.t5.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:08:09 Duration: 3s976ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.t5 set symbolid = sub.symbolid FROM symbols sub where public.t5.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:08:08 Duration: 0ms Database: acaweb_fx_bigint User: postgres
345 1 4.71 MiB 4.71 MiB 4.71 MiB 4.71 MiB update public.stats_symbols set symbolid = sub.symbolid from symbols sub where public.stats_symbols.symbolid = sub.old_symbolid;-
UPDATE public.stats_symbols set symbolid = sub.symbolid FROM symbols sub where public.stats_symbols.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:59:35 Duration: 2s685ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.stats_symbols set symbolid = sub.symbolid FROM symbols sub where public.stats_symbols.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:59:34 Duration: 0ms Database: acaweb_fx_bigint User: postgres
346 1 5.85 MiB 5.85 MiB 5.85 MiB 5.85 MiB select resultuid from relevance_fibonacci_results order by resultuid desc limit ?), fr as ( select a.*, rr.age, rr.relevant from fibonacci_results a left outer join relevance_fibonacci_results rr on a.resultuid = rr.resultuid where case when false = ? then true else a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) end), results as ( select distinct on (s.symbolid) fr.resultuid as resultuid, fr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, fr.pattern as pattern_name, fr.timed as timed, fr.patternendtime as identified, dtt.timezone as timezone, fr.patternlengthbars as length, g.basegroupname, case when fr.age is not null then fr.age when fr.resultuid <= rm.resultuid then ? else ? end as age, case when fr.relevant is not null then fr.relevant when fr.resultuid <= rm.resultuid then ? else ? end as relevant from fr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = fr.symbolid;-
SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), results AS ( SELECT DISTINCT ON (s.symbolid) fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid;
Date: 2022-03-31 10:27:48 Duration: 0ms Database: acaweb_fx User: postgres
347 1 15.78 MiB 15.78 MiB 15.78 MiB 15.78 MiB alter table public.stats_summary_2d alter column statsid type bigint;-
ALTER TABLE public.stats_summary_2d ALTER COLUMN statsid type bigint;
Date: 2022-03-31 10:34:48 Duration: 2s69ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.stats_summary_2d ALTER COLUMN statsid type bigint;
Date: 2022-03-31 10:34:48 Duration: 0ms Database: acaweb_fx_bigint User: postgres
348 1 266.72 MiB 266.72 MiB 266.72 MiB 266.72 MiB update public.t30 set symbolid = sub.symbolid from symbols sub where public.t30.symbolid = sub.old_symbolid;-
UPDATE public.t30 set symbolid = sub.symbolid FROM symbols sub where public.t30.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:05:26 Duration: 24s584ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.t30 set symbolid = sub.symbolid FROM symbols sub where public.t30.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:05:19 Duration: 0ms Database: acaweb_fx_bigint User: postgres
349 1 847.18 MiB 847.18 MiB 847.18 MiB 847.18 MiB alter table only public.t15_ps add constraint pk_t15_ps primary key (pricedatetime, symbolid);-
ALTER TABLE ONLY public.t15_ps ADD CONSTRAINT pk_t15_ps PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 10:00:30 Duration: 0ms Database: acaweb_fx_bigint User: postgres
350 1 4.20 MiB 4.20 MiB 4.20 MiB 4.20 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%audjpy%' AND timegranularity = 30)) OR ((s.symbol ilike '%audusd%' AND timegranularity = 30)) OR ((s.symbol ilike '%chfjpy%' AND timegranularity = 30)) OR ((s.symbol ilike '%euraud%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpcad%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpnzd%' AND timegranularity = 30)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity = 30)) OR ((s.symbol ilike '%nzdchf%' AND timegranularity = 30)) OR ((s.symbol ilike '%nzdusd%' AND timegranularity = 30)) OR ((s.symbol ilike '%usdcad%' AND timegranularity = 30))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851258134676301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 13:00:56 Duration: 0ms Database: acaweb_fx User: postgres
351 1 3.98 MiB 3.98 MiB 3.98 MiB 3.98 MiB update public.stats_symbols_by_groups set symbolid = sub.symbolid from symbols sub where public.stats_symbols_by_groups.symbolid = sub.old_symbolid;-
UPDATE public.stats_symbols_by_groups set symbolid = sub.symbolid FROM symbols sub where public.stats_symbols_by_groups.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:59:35 Duration: 794ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.stats_symbols_by_groups set symbolid = sub.symbolid FROM symbols sub where public.stats_symbols_by_groups.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:59:35 Duration: 0ms Database: acaweb_fx_bigint User: postgres
352 1 102.97 MiB 102.97 MiB 102.97 MiB 102.97 MiB create index idx_trumpet_fromtime on public.powerstats_trumpet using btree (fromtime);-
CREATE INDEX idx_trumpet_fromtime ON public.powerstats_trumpet USING btree (fromtime);
Date: 2022-03-31 12:15:02 Duration: 1m34s Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_trumpet_fromtime ON public.powerstats_trumpet USING btree (fromtime);
Date: 2022-03-31 09:57:47 Duration: 39s534ms Database: acaweb_fx_bigint User: postgres
-
CREATE INDEX idx_trumpet_fromtime ON public.powerstats_trumpet USING btree (fromtime);
Date: 2022-03-31 12:15:02 Duration: 0ms Database: acaweb_fx_bigint User: postgres
353 1 28.91 MiB 28.91 MiB 28.91 MiB 28.91 MiB alter table t1440 add constraint pk_t1440_1 primary key (pricedatetime, symbolid);-
ALTER TABLE t1440 ADD CONSTRAINT pk_t1440_1 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:15:15 Duration: 6s848ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE t1440 ADD CONSTRAINT pk_t1440_1 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:15:15 Duration: 0ms Database: acaweb_fx_bigint User: postgres
354 1 5.83 MiB 5.83 MiB 5.83 MiB 5.83 MiB alter table public.stats_hrsapproaches_summary_2d alter column statsid type bigint;-
ALTER TABLE public.stats_hrsapproaches_summary_2d ALTER COLUMN statsid type bigint;
Date: 2022-03-31 10:34:45 Duration: 863ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.stats_hrsapproaches_summary_2d ALTER COLUMN statsid type bigint;
Date: 2022-03-31 10:34:44 Duration: 0ms Database: acaweb_fx_bigint User: postgres
355 1 6.59 MiB 6.59 MiB 6.59 MiB 6.59 MiB ) or ((longname ilike ? and timegranularity <= ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((longname ilike '%euro vs us dollar%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582367259 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 12:01:56 Duration: 0ms Database: acaweb_fx User: postgres
356 1 459.80 MiB 459.80 MiB 459.80 MiB 459.80 MiB alter table archive.stats_success alter column symbolid type bigint;-
ALTER TABLE archive.stats_success ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:30:16 Duration: 1m14s Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE archive.stats_success ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:30:16 Duration: 0ms Database: acaweb_fx_bigint User: postgres
357 1 145.14 MiB 145.14 MiB 145.14 MiB 145.14 MiB update public.autochartist_resultchanges set resultuid = sub.resultuid from autochartist_results sub where public.autochartist_resultchanges.resultuid = sub.old_resultuid;-
UPDATE public.autochartist_resultchanges set resultuid = sub.resultuid FROM autochartist_results sub WHERE public.autochartist_resultchanges.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:44:54 Duration: 22s797ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.autochartist_resultchanges set resultuid = sub.resultuid FROM autochartist_results sub WHERE public.autochartist_resultchanges.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:44:54 Duration: 0ms Database: acaweb_fx_bigint User: postgres
358 1 12.02 MiB 12.02 MiB 12.02 MiB 12.02 MiB select cleanup_whatshot (?, ?, ?);-
select cleanup_whatshot (2, 3, 1);
Date: 2022-03-31 02:40:04 Duration: 3s514ms Database: acaweb_fx User: postgres
-
select cleanup_whatshot (2, 3, 1);
Date: 2022-03-31 02:40:05 Duration: 279ms Database: acaweb_fx User: postgres
-
select cleanup_whatshot (2, 3, 1);
Date: 2022-03-31 02:40:02 Duration: 0ms Database: acaweb_fx User: postgres
359 1 595.45 MiB 595.45 MiB 595.45 MiB 595.45 MiB update public.autochartist_results set symbolid = sub.symbolid from symbols sub where public.autochartist_results.symbolid = sub.old_symbolid;-
UPDATE public.autochartist_results set symbolid = sub.symbolid FROM symbols sub where public.autochartist_results.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:49:05 Duration: 1m28s Database: acaweb_fx_bigint User: postgres
-
UPDATE public.autochartist_results set symbolid = sub.symbolid FROM symbols sub where public.autochartist_results.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:48:20 Duration: 0ms Database: acaweb_fx_bigint User: postgres
360 1 753.87 MiB 753.87 MiB 753.87 MiB 753.87 MiB update public.stats_success set resultuid = sub.resultuid from keylevels_results sub where public.stats_success.type ilike any (array[?, ?]) and public.stats_success.resultuid = sub.old_resultuid;-
UPDATE public.stats_success set resultuid = sub.resultuid FROM keylevels_results sub WHERE public.stats_success.type ilike any (array['kl', 'ekl']) and public.stats_success.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:41:37 Duration: 2m39s Database: acaweb_fx_bigint User: postgres
-
UPDATE public.stats_success set resultuid = sub.resultuid FROM keylevels_results sub WHERE public.stats_success.type ilike any (array['kl', 'ekl']) and public.stats_success.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:40:56 Duration: 0ms Database: acaweb_fx_bigint User: postgres
361 1 6.67 MiB 6.67 MiB 6.67 MiB 6.67 MiB )) and patternlengthbars >= ? and averagequality >= ?.? and (timequality >= ?.? or timequality = ?) and errormargin >= ?.? and ? - noise >= ?.? and s.nonliquid = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and patternendprice = ? and a.resultuid > ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, averagequality desc limit ?;-
)) AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 63 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice = - 1 AND a.resultuid > 73743474 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-03-31 08:50:48 Duration: 0ms Database: acaweb_fx User: postgres
362 1 11.60 MiB 11.60 MiB 11.60 MiB 11.60 MiB ) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?)) or ((c.symbol ilike ? and timegranularity = ?))) and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;-
) OR ((c.symbol ilike '%audcad%' AND timegranularity = 60)) OR ((c.symbol ilike '%cadchf%' AND timegranularity = 240)) OR ((c.symbol ilike '%cadjpy%' AND timegranularity = 240)) OR ((c.symbol ilike '%eurcad%' AND timegranularity = 240)) OR ((c.symbol ilike '%eurchf%' AND timegranularity = 240)) OR ((c.symbol ilike '%eurnzd%' AND timegranularity = 60)) OR ((c.symbol ilike '%gbpcad%' AND timegranularity = 240)) OR ((c.symbol ilike '%gbpchf%' AND timegranularity = 60)) OR ((c.symbol ilike '%gbpjpy%' AND timegranularity = 240)) OR ((c.symbol ilike '%gbpnzd%' AND timegranularity = 240)) OR ((c.symbol ilike '%nzdjpy%' AND timegranularity = 240)) OR ((c.symbol ilike '%nzdusd%' AND timegranularity = 240)) OR ((c.symbol ilike '%usdchf%' AND timegranularity = 240)) OR ((c.symbol ilike '%usdchf%' AND timegranularity = 60)) OR ((c.symbol ilike '%usdjpy%' AND timegranularity = 240))) AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.resultuid > $5 AND c.nonliquid = $6 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 09:09:30 Duration: 0ms Database: acaweb_fx User: postgres
363 1 4.45 MiB 4.45 MiB 4.45 MiB 4.45 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%audusd%' AND timegranularity = 60)) OR ((s.symbol ilike '%cadchf%' AND timegranularity = 60)) OR ((s.symbol ilike '%euraud%' AND timegranularity = 60)) OR ((s.symbol ilike '%eurcad%' AND timegranularity = 60)) OR ((s.symbol ilike '%eurchf%' AND timegranularity = 60)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity = 60)) OR ((s.symbol ilike '%eurnzd%' AND timegranularity = 60)) OR ((s.symbol ilike '%eurusd%' AND timegranularity = 60)) OR ((s.symbol ilike '%gbpjpy%' AND timegranularity = 60)) OR ((s.symbol ilike '%gbpnzd%' AND timegranularity = 60)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity = 60)) OR ((s.symbol ilike '%nzdchf%' AND timegranularity = 60)) OR ((s.symbol ilike '%usdcad%' AND timegranularity = 60)) OR ((s.symbol ilike '%nzdusd%' AND timegranularity = 60))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851304700650301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 13:00:53 Duration: 0ms Database: acaweb_fx User: postgres
364 1 284.14 MiB 284.14 MiB 284.14 MiB 284.14 MiB update public.patternresultsage set resultuid = sub.resultuid from autochartist_results sub where public.patternresultsage.type = ? and public.patternresultsage.resultuid = sub.old_resultuid;-
UPDATE public.patternresultsage set resultuid = sub.resultuid FROM autochartist_results sub WHERE public.patternresultsage.type = 0 and public.patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:22:29 Duration: 27s907ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.patternresultsage set resultuid = sub.resultuid FROM autochartist_results sub WHERE public.patternresultsage.type = 0 and public.patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:22:20 Duration: 0ms Database: acaweb_fx_bigint User: postgres
365 1 29.55 MiB 29.55 MiB 29.55 MiB 29.55 MiB update public.patternresultsage set resultuid = sub.resultuid from fibonacci_results sub where public.patternresultsage.type = ? and public.patternresultsage.resultuid = sub.old_resultuid;-
UPDATE public.patternresultsage set resultuid = sub.resultuid FROM fibonacci_results sub WHERE public.patternresultsage.type = 1 and public.patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:22:36 Duration: 4s676ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.patternresultsage set resultuid = sub.resultuid FROM fibonacci_results sub WHERE public.patternresultsage.type = 1 and public.patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:22:35 Duration: 0ms Database: acaweb_fx_bigint User: postgres
366 1 643.72 MiB 643.72 MiB 643.72 MiB 643.72 MiB alter table archive.stats_success alter column resultuid type bigint;-
ALTER TABLE archive.stats_success ALTER COLUMN resultuid type bigint;
Date: 2022-03-31 10:36:23 Duration: 1m40s Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE archive.stats_success ALTER COLUMN resultuid type bigint;
Date: 2022-03-31 10:36:23 Duration: 0ms Database: acaweb_fx_bigint User: postgres
367 1 56.03 MiB 56.03 MiB 56.03 MiB 56.03 MiB create index idx_old_kl_resultuid on keylevels_results using btree (old_resultuid);-
create index idx_old_kl_resultuid on keylevels_results using btree (old_resultuid);
Date: 2022-03-31 12:00:26 Duration: 1m32s Database: acaweb_fx_bigint User: postgres
-
create index idx_old_kl_resultuid on keylevels_results using btree (old_resultuid);
Date: 2022-03-31 12:00:26 Duration: 0ms Database: acaweb_fx_bigint User: postgres
368 1 13.55 MiB 13.55 MiB 13.55 MiB 13.55 MiB alter table public.symbolgroup alter column symbolid type bigint;-
ALTER TABLE public.symbolgroup ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:57 Duration: 399ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.symbolgroup ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:57 Duration: 0ms Database: acaweb_fx_bigint User: postgres
369 1 14.88 MiB 14.88 MiB 14.88 MiB 14.88 MiB refresh materialized view public.solr_groupnames;-
REFRESH MATERIALIZED VIEW public.solr_groupnames;
Date: 2022-03-31 10:07:15 Duration: 699ms Database: acaweb_fx_bigint User: postgres
-
REFRESH MATERIALIZED VIEW public.solr_groupnames;
Date: 2022-03-31 12:43:32 Duration: 639ms Database: acaweb_fx_bigint User: postgres
-
REFRESH MATERIALIZED VIEW public.solr_groupnames;
Date: 2022-03-31 12:43:31 Duration: 0ms Database: acaweb_fx_bigint User: postgres
370 1 565.12 MiB 565.12 MiB 565.12 MiB 565.12 MiB update public.patternresultsrelevance set resultuid = sub.resultuid from keylevels_results sub where public.patternresultsrelevance.type = ? and public.patternresultsrelevance.resultuid = sub.old_resultuid;-
UPDATE public.patternresultsrelevance set resultuid = sub.resultuid FROM keylevels_results sub WHERE public.patternresultsrelevance.type = 2 and public.patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:33:39 Duration: 3m12s Database: acaweb_fx_bigint User: postgres
-
UPDATE public.patternresultsrelevance set resultuid = sub.resultuid FROM keylevels_results sub WHERE public.patternresultsrelevance.type = 2 and public.patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:33:14 Duration: 0ms Database: acaweb_fx_bigint User: postgres
371 1 395.27 MiB 395.27 MiB 395.27 MiB 395.27 MiB update public.t60_ps set symbolid = sub.symbolid from symbols sub where public.t60_ps.symbolid = sub.old_symbolid;-
UPDATE public.t60_ps set symbolid = sub.symbolid FROM symbols sub where public.t60_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:09:07 Duration: 40s628ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.t60_ps set symbolid = sub.symbolid FROM symbols sub where public.t60_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:08:54 Duration: 0ms Database: acaweb_fx_bigint User: postgres
372 1 180.24 MiB 180.24 MiB 180.24 MiB 180.24 MiB alter table keylevels_results add constraint idx_keylevels_uniquepointsvalue unique (uniquepointsvalue);-
ALTER TABLE keylevels_results ADD CONSTRAINT idx_keylevels_uniquepointsvalue UNIQUE (uniquepointsvalue);
Date: 2022-03-31 12:04:46 Duration: 42s999ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE keylevels_results ADD CONSTRAINT idx_keylevels_uniquepointsvalue UNIQUE (uniquepointsvalue);
Date: 2022-03-31 12:04:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
373 1 7.20 MiB 7.20 MiB 7.20 MiB 7.20 MiB select resultuid from relevance_fibonacci_results order by resultuid desc limit ? ) select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as ruid, s.symbolid as sid, s.symbol as sym, 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, ? - errormargin as rq, ? - 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, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from 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 inner join rar_max rm on ? = ? left outer join relevance_fibonacci_results rar on a.resultuid = rar.resultuid left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;-
SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = $1 THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.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, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, 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 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_fibonacci_results rar ON a.resultuid = rar.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = $2 OR a.resultuid = $3) AND dtt.dayofweek = 3;
Date: 2022-03-31 09:58:16 Duration: 0ms Database: acaweb_fx User: postgres
374 1 242.17 MiB 242.17 MiB 242.17 MiB 242.17 MiB update public.patternresultsage set resultuid = sub.resultuid from keylevels_results sub where public.patternresultsage.type = ? and public.patternresultsage.resultuid = sub.old_resultuid;-
UPDATE public.patternresultsage set resultuid = sub.resultuid FROM keylevels_results sub WHERE public.patternresultsage.type = 2 and public.patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:23:11 Duration: 34s816ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.patternresultsage set resultuid = sub.resultuid FROM keylevels_results sub WHERE public.patternresultsage.type = 2 and public.patternresultsage.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:23:04 Duration: 0ms Database: acaweb_fx_bigint User: postgres
375 1 11.63 MiB 11.63 MiB 11.63 MiB 11.63 MiB ) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%audcad%' AND timegranularity = 240)) OR ((s.symbol ilike '%cadchf%' AND timegranularity = 60)) OR ((s.symbol ilike '%euraud%' AND timegranularity = 60)) OR ((s.symbol ilike '%eurchf%' AND timegranularity = 240)) OR ((s.symbol ilike '%eurgbp%' AND timegranularity = 240)) OR ((s.symbol ilike '%gbpcad%' AND timegranularity = 240)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity = 240)) OR ((s.symbol ilike '%gbpjpy%' AND timegranularity = 240)) OR ((s.symbol ilike '%gbpnzd%' AND timegranularity = 240)) OR ((s.symbol ilike '%nzdusd%' AND timegranularity = 240)) OR ((s.symbol ilike '%usdcad%' AND timegranularity = 240)) OR ((s.symbol ilike '%usdchf%' AND timegranularity = 240)) OR ((s.symbol ilike '%usdjpy%' AND timegranularity = 240))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 581784051 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 11:52:31 Duration: 0ms Database: acaweb_fx User: postgres
376 1 381.62 MiB 381.62 MiB 381.62 MiB 381.62 MiB select cleanupkeylevelsresults (?, ?, ?);-
select cleanupkeylevelsresults (60, 10, 60);
Date: 2022-03-31 03:06:16 Duration: 6m14s Database: acaweb_fx User: postgres
-
select cleanupkeylevelsresults (15, 10, 15);
Date: 2022-03-31 23:10:01 Duration: 750ms Database: acaweb_fx User: postgres
-
select cleanupkeylevelsresults (30, 10, 30);
Date: 2022-03-31 23:05:01 Duration: 556ms Database: acaweb_fx User: postgres
377 1 401.64 MiB 401.64 MiB 401.64 MiB 401.64 MiB update public.t15 set symbolid = sub.symbolid from symbols sub where public.t15.symbolid = sub.old_symbolid;-
UPDATE public.t15 set symbolid = sub.symbolid FROM symbols sub where public.t15.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:00:31 Duration: 45s316ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.t15 set symbolid = sub.symbolid FROM symbols sub where public.t15.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:00:13 Duration: 0ms Database: acaweb_fx_bigint User: postgres
378 1 99.43 MiB 99.43 MiB 99.43 MiB 99.43 MiB alter table t60 add constraint pk_t60 primary key (pricedatetime, symbolid);-
ALTER TABLE t60 ADD CONSTRAINT pk_t60 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:34:38 Duration: 34s683ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE t60 ADD CONSTRAINT pk_t60 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:34:38 Duration: 0ms Database: acaweb_fx_bigint User: postgres
379 1 375.03 MiB 375.03 MiB 375.03 MiB 375.03 MiB select stats_populatestatssuccess_keylevels (( select coalesce(vgetbigint (?), ?)));-
select stats_populatestatssuccess_keylevels (( select coalesce(vGetBigInt ('stats_latestresultuid_kl'), 0)));
Date: 2022-03-31 02:53:12 Duration: 53m10s Database: acaweb_fx User: postgres
-
select stats_populatestatssuccess_keylevels (( select coalesce(vGetBigInt ('stats_latestresultuid_kl'), 0)));
Date: 2022-03-31 02:00:05 Duration: 0ms Database: acaweb_fx User: postgres
380 1 10.75 MiB 10.75 MiB 10.75 MiB 10.75 MiB alter table public.sa_hist_bigmove alter column symbolid type bigint;-
ALTER TABLE public.sa_hist_bigmove ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:28 Duration: 1s889ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.sa_hist_bigmove ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:28 Duration: 0ms Database: acaweb_fx_bigint User: postgres
381 1 112.21 MiB 112.21 MiB 112.21 MiB 112.21 MiB update public.patternresultsrelevance set resultuid = sub.resultuid from fibonacci_results sub where public.patternresultsrelevance.type = ? and public.patternresultsrelevance.resultuid = sub.old_resultuid;-
UPDATE public.patternresultsrelevance set resultuid = sub.resultuid FROM fibonacci_results sub WHERE public.patternresultsrelevance.type = 1 and public.patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:30:24 Duration: 31s905ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.patternresultsrelevance set resultuid = sub.resultuid FROM fibonacci_results sub WHERE public.patternresultsrelevance.type = 1 and public.patternresultsrelevance.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:30:19 Duration: 0ms Database: acaweb_fx_bigint User: postgres
382 1 68.11 MiB 68.11 MiB 68.11 MiB 68.11 MiB update public.t1440 set symbolid = sub.symbolid from symbols sub where public.t1440.symbolid = sub.old_symbolid;-
UPDATE public.t1440 set symbolid = sub.symbolid FROM symbols sub where public.t1440.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:59:46 Duration: 6s296ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.t1440 set symbolid = sub.symbolid FROM symbols sub where public.t1440.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:59:44 Duration: 0ms Database: acaweb_fx_bigint User: postgres
383 1 425.37 MiB 425.37 MiB 425.37 MiB 425.37 MiB alter table t30_ps add constraint pk_t30_ps primary key (pricedatetime, symbolid);-
ALTER TABLE t30_ps ADD CONSTRAINT pk_t30_ps PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:30:00 Duration: 2m41s Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE t30_ps ADD CONSTRAINT pk_t30_ps PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:30:00 Duration: 0ms Database: acaweb_fx_bigint User: postgres
384 1 31.46 MiB 31.46 MiB 31.46 MiB 31.46 MiB alter table public.whatshot_probability alter column symbolid type bigint;-
ALTER TABLE public.whatshot_probability ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:33:45 Duration: 1s232ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.whatshot_probability ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:33:45 Duration: 0ms Database: acaweb_fx_bigint User: postgres
385 1 154.30 MiB 154.30 MiB 154.30 MiB 154.30 MiB alter table public.fibonacci_results alter column symbolid type bigint;-
ALTER TABLE public.fibonacci_results ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:30:50 Duration: 6s380ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.fibonacci_results ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:30:47 Duration: 0ms Database: acaweb_fx_bigint User: postgres
386 1 466.07 MiB 466.07 MiB 466.07 MiB 466.07 MiB update public.keylevels_results set symbolid = sub.symbolid from symbols sub where public.keylevels_results.symbolid = sub.old_symbolid;-
UPDATE public.keylevels_results set symbolid = sub.symbolid FROM symbols sub where public.keylevels_results.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:51:12 Duration: 54s449ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.keylevels_results set symbolid = sub.symbolid FROM symbols sub where public.keylevels_results.symbolid = sub.old_symbolid;
Date: 2022-03-31 10:50:52 Duration: 0ms Database: acaweb_fx_bigint User: postgres
387 1 18.62 MiB 18.62 MiB 18.62 MiB 18.62 MiB alter table public.sa_hist_consecutivecandles alter column symbolid type bigint;-
ALTER TABLE public.sa_hist_consecutivecandles ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:29 Duration: 725ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.sa_hist_consecutivecandles ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:29 Duration: 0ms Database: acaweb_fx_bigint User: postgres
388 1 11.63 MiB 11.63 MiB 11.63 MiB 11.63 MiB ) or ((symbol ilike ? and timegranularity <= ?))) and patternlengthbars >= ? and averagequality >= ?.? and (timequality >= ?.? or timequality = ?) and errormargin >= ?.? and ? - noise >= ?.? and s.nonliquid = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and patternendprice = ? and a.resultuid > ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, averagequality desc limit ?;-
) OR ((symbol ilike '%ger 30%' AND timegranularity <= 1440))) AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 63 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice = - 1 AND a.resultuid > 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-03-31 12:33:12 Duration: 0ms Database: acaweb_fx User: postgres
389 1 45.18 MiB 45.18 MiB 45.18 MiB 45.18 MiB select cleanupconsecutivecandlesresults ();-
select cleanupconsecutivecandlesresults ();
Date: 2022-03-31 04:05:04 Duration: 2s759ms Database: acaweb_fx User: postgres
-
select cleanupconsecutivecandlesresults ();
Date: 2022-03-31 04:05:02 Duration: 0ms Database: acaweb_fx User: postgres
390 1 7.29 MiB 7.29 MiB 7.29 MiB 7.29 MiB select * from stats where description not in ( select brokername || ? || exchange from broker_symbol_ticker_view);-
select * from stats where description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view);
Date: 2022-03-31 16:20:18 Duration: 3s346ms Database: acaweb_fx User: postgres
-
select * from stats where description not in ( select brokername || ': ' || exchange from broker_symbol_ticker_view);
Date: 2022-03-31 16:20:15 Duration: 0ms Database: acaweb_fx User: postgres
391 1 6.27 MiB 6.27 MiB 6.27 MiB 6.27 MiB ) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity = ?)) or ((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and direction = ? and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity = 15)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity = 60))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND direction = 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 4219 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851395154241301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 19:49:48 Duration: 0ms Database: acaweb_fx User: postgres
392 1 847.18 MiB 847.18 MiB 847.18 MiB 847.18 MiB alter table t15_ps add constraint pk_t15_ps primary key (pricedatetime, symbolid);-
ALTER TABLE t15_ps ADD CONSTRAINT pk_t15_ps PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:18:19 Duration: 2m59s Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE t15_ps ADD CONSTRAINT pk_t15_ps PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:18:19 Duration: 0ms Database: acaweb_fx_bigint User: postgres
393 1 191.55 MiB 191.55 MiB 191.55 MiB 191.55 MiB alter table t15 add constraint pk_t15 primary key (pricedatetime, symbolid);-
ALTER TABLE t15 ADD CONSTRAINT pk_t15 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:26:46 Duration: 17s315ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE t15 ADD CONSTRAINT pk_t15 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:26:46 Duration: 0ms Database: acaweb_fx_bigint User: postgres
394 1 11.63 MiB 11.63 MiB 11.63 MiB 11.63 MiB )) and breakout = ? and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
)) AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582490444 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 11:40:10 Duration: 0ms Database: acaweb_fx User: postgres
395 1 772.55 MiB 772.55 MiB 772.55 MiB 772.55 MiB update public.t30_ps set symbolid = sub.symbolid from symbols sub where public.t30_ps.symbolid = sub.old_symbolid;-
UPDATE public.t30_ps set symbolid = sub.symbolid FROM symbols sub where public.t30_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:07:59 Duration: 2m32s Database: acaweb_fx_bigint User: postgres
-
UPDATE public.t30_ps set symbolid = sub.symbolid FROM symbols sub where public.t30_ps.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:06:29 Duration: 0ms Database: acaweb_fx_bigint User: postgres
396 1 211.81 MiB 211.81 MiB 211.81 MiB 211.81 MiB update public.t60 set symbolid = sub.symbolid from symbols sub where public.t60.symbolid = sub.old_symbolid;-
UPDATE public.t60 set symbolid = sub.symbolid FROM symbols sub where public.t60.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:08:27 Duration: 17s554ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.t60 set symbolid = sub.symbolid FROM symbols sub where public.t60.symbolid = sub.old_symbolid;
Date: 2022-03-31 11:08:21 Duration: 0ms Database: acaweb_fx_bigint User: postgres
397 1 182.31 MiB 182.31 MiB 182.31 MiB 182.31 MiB alter table patternresultsage add constraint pk_pattresultsage_ruid_type primary key (resultuid, type);-
ALTER TABLE patternresultsage ADD CONSTRAINT pk_pattresultsage_ruid_type PRIMARY KEY (resultuid, type);
Date: 2022-03-31 12:06:36 Duration: 1m1s Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE patternresultsage ADD CONSTRAINT pk_pattresultsage_ruid_type PRIMARY KEY (resultuid, type);
Date: 2022-03-31 12:06:36 Duration: 0ms Database: acaweb_fx_bigint User: postgres
398 1 17.52 MiB 17.52 MiB 17.52 MiB 17.52 MiB update public.autochartist_resultchanges set resultuid = sub.resultuid from fibonacci_results sub where public.autochartist_resultchanges.resultuid = sub.old_resultuid;-
UPDATE public.autochartist_resultchanges set resultuid = sub.resultuid FROM fibonacci_results sub WHERE public.autochartist_resultchanges.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:45:01 Duration: 6s458ms Database: acaweb_fx_bigint User: postgres
-
UPDATE public.autochartist_resultchanges set resultuid = sub.resultuid FROM fibonacci_results sub WHERE public.autochartist_resultchanges.resultuid = sub.old_resultuid;
Date: 2022-03-31 11:45:01 Duration: 0ms Database: acaweb_fx_bigint User: postgres
399 1 11.57 MiB 11.57 MiB 11.57 MiB 11.57 MiB alter table public.powerstats_daily_test alter column symbolid type bigint;-
ALTER TABLE public.powerstats_daily_test ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:14 Duration: 506ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.powerstats_daily_test ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:13 Duration: 0ms Database: acaweb_fx_bigint User: postgres
400 1 6.09 MiB 6.09 MiB 6.09 MiB 6.09 MiB ) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%audchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audnzd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%cadchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%cadjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurgbp%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpcad%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdcad%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%nzdusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%usdchf%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%usdjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurcad%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.7 AND initialtrend >= 0.0 AND symmetry >= 0.5 AND noise <= 0.19999999999999996 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 61319 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 17:10:09 Duration: 0ms Database: acaweb_fx User: postgres
401 1 1.04 GiB 1.04 GiB 1.04 GiB 1.04 GiB --with broker_wp as (select whid, row_number() over (partition by brokerid order by whid desc) r --from whatshot where case when v_brokerid is null then true else v_brokerid = brokerid end) select distinct on (ar.resultuid) ?::character varying as pattern_type, cast(? || ar.resultuid as character varying) as uuid, symbol_brokers.broker_ids::character varying as broker_ids, bi.broker_symbol_mappings::character varying as broker_symbol_mappings, s.exchange::character varying as exchange, s.symbolid::bigint as symbol_id, s.symbol::character varying as symbol, s.shortname::character varying as short_name, s.longname::character varying as long_name, s.timegranularity AS "interval", dftt.timezone::character varying as timezone, dftt.absolutetimezoneoffset::integer as timezoneoffset, ar.gmttimefound as pattern_gmt_timefound, ar.resultuid::bigint as result_uid, ar.old_resultuid::int as old_result_uid, ? as pattern_id, ar.direction as direction, ar.pattern::character varying as pattern_name, dss.downloadersymbol::character varying as downloader_symbol, case when ar.breakout > ? then ?::character varying else ?::character varying end as pattern_category, ar.patternendtime + interval ?*?*dftt.absolutetimezoneoffset as pattern_end_time, ar.patternstarttime + interval ?*?*dftt.absolutetimezoneoffset as pattern_start_time, ar.patternlengthbars as pattern_length, case when ar.resultuid > v_max_relevance_ruid then ? else coalesce(rar.age,?) end as age, case when ar.resultuid > v_max_relevance_ruid then ? else coalesce(rar.relevant,?) end as relevance, ar.predictiontimefrom + interval ?*?*dftt.absolutetimezoneoffset as prediction_time_from, ar.predictiontimeto + interval ?*?*dftt.absolutetimezoneoffset as prediction_time_to, ar.predictionpricefrom as prediction_price_from, ar.predictionpriceto as prediction_price_to, ar.patternquality as pattern_quality, ar.patternstartprice as pattern_start_price, ar.patternendprice as pattern_end_price, ar.breakout as breakout, ar.resx0 + interval ?*?*dftt.absolutetimezoneoffset as pattern_cp_resx0, ar.resx1 + interval ?*?*dftt.absolutetimezoneoffset as pattern_cp_resx1, ar.resy0 as pattern_cp_resy0, ar.resy1 as pattern_cp_resy1, ar.supportx0 + interval ?*?*dftt.absolutetimezoneoffset as pattern_cp_supportx0, ar.supportx1 + interval ?*?*dftt.absolutetimezoneoffset as pattern_cp_supportx1, ar.supporty0 as pattern_cp_supporty0, ar.supporty1 as pattern_cp_supporty1, ar.trendchange as pattern_cp_trend_change, ar.volumeincrease as pattern_cp_volume_increase, ar.symmetry as pattern_cp_uniformity, ar.initialtrend as pattern_cp_initial_trend, ? - ar.noise as pattern_clarity, ?.?::double precision as pattern_fp_average_quality, ?.?::double precision as pattern_fp_pricea, ?.?::double precision as pattern_fp_priceb, ?.?::double precision as pattern_fp_pricec, ?.?::double precision as pattern_fp_pricex, ?.?::double precision as pattern_fp_priced, ?::character varying as pattern_fp_ratiosfound, ?.?::double precision as pattern_fp_target_03, ?.?::double precision as pattern_fp_target_05, ?.?::double precision as pattern_fp_target_06, ?.?::double precision as pattern_fp_target_07, ?.?::double precision as pattern_fp_target_10, ?.?::double precision as pattern_fp_target_12, ?.?::double precision as pattern_fp_target_16, ?::timestamp without time zone as pattern_fp_timea, ?::timestamp without time zone as pattern_fp_timeb, ?::timestamp without time zone as pattern_fp_timec, ?::timestamp without time zone as pattern_fp_timed, ?.?::double precision as pattern_fp_timequality, ?::timestamp without time zone as pattern_fp_timex, ?.?::double precision as pattern_fp_ratioquality, ?.?::double precision as pattern_kl_errormargin, ?.?::double precision as pattern_kl_breakoutprice, ? as pattern_kl_breakoutbars, ?.?::double precision as pattern_kl_stoplosslevel, ?::timestamp without time zone as pattern_kl_approaching_time, ?.?::double precision as pattern_kl_approachingregion, ? as pattern_kl_predictiontimebars, ?::timestamp without time zone as pattern_kl_x0, ?::timestamp without time zone as pattern_kl_x1, ?::timestamp without time zone as pattern_kl_x2, ?::timestamp without time zone as pattern_kl_x3, ?::timestamp without time zone as pattern_kl_x4, ?::timestamp without time zone as pattern_kl_x5, ?::timestamp without time zone as pattern_kl_x6, ?::timestamp without time zone as pattern_kl_x7, ?::timestamp without time zone as pattern_kl_x8, ?::timestamp without time zone as pattern_kl_x9, ?.?::double precision as pattern_jc_initial_trend_strength, case when wp.hod_correct is null then ? else wp.hod_correct end as stats_hod_correct, case when wp.hod_percent is null then ?.? else wp.hod_percent end as stats_hod_percent, case when wp.hod_total is null then ? else wp.hod_total end as stats_hod_total, extract(hour from ar.patternendtime)::int as stats_pattern_hourofday, case when wp.pattern_correct is null then ? else wp.pattern_correct end as stats_pattern_name_correct, case when wp.pattern_percent is null then ?.? else wp.pattern_percent end as stats_pattern_name_percent, case when wp.pattern_total is null then ? else wp.pattern_total end as stats_pattern_name_total, case when wp.percent is null then ?.? else wp.percent end as stats_percent, case when wp.symbol_correct is null then ? else wp.symbol_correct end as stats_symbol_correct, case when wp.symbol_percent is null then ?.? else wp.symbol_percent end as stats_symbol_percent, case when wp.symbol_total is null then ? else wp.symbol_total end as stats_symbol_total, ? as ig_derivativeid, ?::character varying as ig_fullname, ? as ig_isunderlying, ?.?::double precision as ig_premium, ? as ig_underlyingid, ?::character varying as ig_epic, ? as ig_id, ?.?::double precision as pattern_bm_statistical_movement, ?.?::double precision as pattern_bm_movement, ?.?::double precision as pattern_bm_movement_percentile, ? as pattern_cc_qty_consecutive_candles, ? as pattern_cc_statistical_qty_candles, ?.?::double precision as pattern_cc_consecutice_candles_percentile, ?.?::double precision as pattern_st_to_price,;-
--WITH broker_wp AS (select whid, row_number() over (partition by brokerid order by whid desc) r --from whatshot where CASE WHEN v_BrokerId IS NULL THEN True ELSE v_BrokerId = brokerid END) SELECT DISTINCT ON (ar.resultuid) 'Chart_Pattern'::character varying AS pattern_type, cast('cp_' || ar.resultuid as character varying) AS uuid, symbol_brokers.broker_ids::character varying AS broker_ids, bi.broker_symbol_mappings::character varying AS broker_symbol_mappings, s.exchange::character varying AS exchange, s.symbolid::bigint AS symbol_id, s.symbol::character varying AS symbol, s.shortname::character varying AS short_name, s.longname::character varying AS long_name, s.timegranularity AS "interval", dftt.timezone::character varying AS timezone, dftt.absolutetimezoneoffset::integer AS timezoneoffset, ar.gmttimefound AS pattern_gmt_timefound, ar.resultuid::bigint AS result_uid, ar.old_resultuid::int AS old_result_uid, 0 AS pattern_id, ar.direction AS direction, ar.pattern::character varying AS pattern_name, dss.downloadersymbol::character varying AS downloader_symbol, CASE WHEN ar.breakout > - 1 THEN 'Completed'::character varying ELSE 'Emerging'::character varying END AS pattern_category, ar.patternendtime + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_end_time, ar.patternstarttime + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_start_time, ar.patternlengthbars AS pattern_length, CASE WHEN ar.resultuid > v_Max_Relevance_RUID THEN 0 ELSE COALESCE(rar.age, 11) END AS age, CASE WHEN ar.resultuid > v_Max_Relevance_RUID THEN 1 ELSE COALESCE(rar.relevant, 0) END AS relevance, ar.predictiontimefrom + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS prediction_time_from, ar.predictiontimeto + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS prediction_time_to, ar.predictionpricefrom AS prediction_price_from, ar.predictionpriceto AS prediction_price_to, ar.patternquality AS pattern_quality, ar.patternstartprice AS pattern_start_price, ar.patternendprice AS pattern_end_price, ar.breakout AS breakout, ar.resx0 + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_cp_resx0, ar.resx1 + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_cp_resx1, ar.resy0 AS pattern_cp_resy0, ar.resy1 AS pattern_cp_resy1, ar.supportx0 + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_cp_supportx0, ar.supportx1 + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_cp_supportx1, ar.supporty0 AS pattern_cp_supporty0, ar.supporty1 AS pattern_cp_supporty1, ar.trendchange AS pattern_cp_trend_change, ar.volumeincrease AS pattern_cp_volume_increase, ar.symmetry AS pattern_cp_uniformity, ar.initialtrend AS pattern_cp_initial_trend, 1 - ar.noise AS pattern_clarity, 0.0::double precision AS pattern_fp_average_quality, 0.0::double precision AS pattern_fp_pricea, 0.0::double precision AS pattern_fp_priceb, 0.0::double precision AS pattern_fp_pricec, 0.0::double precision AS pattern_fp_pricex, 0.0::double precision AS pattern_fp_priced, ''::character varying AS pattern_fp_ratiosfound, 0.0::double precision AS pattern_fp_target_03, 0.0::double precision AS pattern_fp_target_05, 0.0::double precision AS pattern_fp_target_06, 0.0::double precision AS pattern_fp_target_07, 0.0::double precision AS pattern_fp_target_10, 0.0::double precision AS pattern_fp_target_12, 0.0::double precision AS pattern_fp_target_16, '1900-01-01'::timestamp without time zone AS pattern_fp_timea, '1900-01-01'::timestamp without time zone AS pattern_fp_timeb, '1900-01-01'::timestamp without time zone AS pattern_fp_timec, '1900-01-01'::timestamp without time zone AS pattern_fp_timed, 0.0::double precision AS pattern_fp_timequality, '1900-01-01'::timestamp without time zone AS pattern_fp_timex, 0.0::double precision AS pattern_fp_ratioquality, 0.0::double precision AS pattern_kl_errormargin, 0.0::double precision AS pattern_kl_breakoutprice, 0 AS pattern_kl_breakoutbars, 0.0::double precision AS pattern_kl_stoplosslevel, '1900-01-01'::timestamp without time zone AS pattern_kl_approaching_time, 0.0::double precision AS pattern_kl_approachingregion, 0 AS pattern_kl_predictiontimebars, '1900-01-01'::timestamp without time zone AS pattern_kl_x0, '1900-01-01'::timestamp without time zone AS pattern_kl_x1, '1900-01-01'::timestamp without time zone AS pattern_kl_x2, '1900-01-01'::timestamp without time zone AS pattern_kl_x3, '1900-01-01'::timestamp without time zone AS pattern_kl_x4, '1900-01-01'::timestamp without time zone AS pattern_kl_x5, '1900-01-01'::timestamp without time zone AS pattern_kl_x6, '1900-01-01'::timestamp without time zone AS pattern_kl_x7, '1900-01-01'::timestamp without time zone AS pattern_kl_x8, '1900-01-01'::timestamp without time zone AS pattern_kl_x9, 0.0::double precision AS pattern_jc_initial_trend_strength, CASE WHEN wp.hod_correct IS NULL THEN 0 ELSE wp.hod_correct END AS stats_hod_correct, CASE WHEN wp.hod_percent IS NULL THEN 0.0 ELSE wp.hod_percent END AS stats_hod_percent, CASE WHEN wp.hod_total IS NULL THEN 0 ELSE wp.hod_total END AS stats_hod_total, extract(hour from ar.patternendtime)::int AS stats_pattern_hourofday, CASE WHEN wp.pattern_correct IS NULL THEN 0 ELSE wp.pattern_correct END AS stats_pattern_name_correct, CASE WHEN wp.pattern_percent IS NULL THEN 0.0 ELSE wp.pattern_percent END AS stats_pattern_name_percent, CASE WHEN wp.pattern_total IS NULL THEN 0 ELSE wp.pattern_total END AS stats_pattern_name_total, CASE WHEN wp.percent IS NULL THEN 0.0 ELSE wp.percent END AS stats_percent, CASE WHEN wp.symbol_correct IS NULL THEN 0 ELSE wp.symbol_correct END AS stats_symbol_correct, CASE WHEN wp.symbol_percent IS NULL THEN 0.0 ELSE wp.symbol_percent END AS stats_symbol_percent, CASE WHEN wp.symbol_total IS NULL THEN 0 ELSE wp.symbol_total END AS stats_symbol_total, 0 AS ig_derivativeid, ''::character varying AS ig_fullname, 0 AS ig_isunderlying, 0.0::double precision AS ig_premium, 0 AS ig_underlyingid, ''::character varying AS ig_epic, 0 AS ig_id, 0.0::double precision AS pattern_bm_statistical_movement, 0.0::double precision AS pattern_bm_movement, 0.0::double precision AS pattern_bm_movement_percentile, 0 AS pattern_cc_qty_consecutive_candles, 0 AS pattern_cc_statistical_qty_candles, 0.0::double precision AS pattern_cc_consecutice_candles_percentile, 0.0::double precision AS pattern_st_to_price, ;
Date: 2022-03-31 13:13:06 Duration: 0ms Database: acaweb_fx User: postgres
402 1 78.04 MiB 78.04 MiB 78.04 MiB 78.04 MiB alter table t240 add constraint pk_t240_1 primary key (pricedatetime, symbolid);-
ALTER TABLE t240 ADD CONSTRAINT pk_t240_1 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:27:10 Duration: 9s77ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE t240 ADD CONSTRAINT pk_t240_1 PRIMARY KEY (pricedatetime, symbolid);
Date: 2022-03-31 12:27:10 Duration: 0ms Database: acaweb_fx_bigint User: postgres
403 1 24.01 MiB 24.01 MiB 24.01 MiB 24.01 MiB alter table public.powerstats_hourly alter column symbolid type bigint;-
ALTER TABLE public.powerstats_hourly ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:14 Duration: 711ms Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE public.powerstats_hourly ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:31:14 Duration: 0ms Database: acaweb_fx_bigint User: postgres
404 1 8.08 MiB 8.08 MiB 8.08 MiB 8.08 MiB ) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?)) or ((s.symbol ilike ? and timegranularity <= ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;-
) OR ((s.symbol ilike '%gbpusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audusd%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%audjpy%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%euraud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%gbpaud%' AND timegranularity <= 1440)) OR ((s.symbol ilike '%eurgbp%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 515851258838410301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 13:00:11 Duration: 0ms Database: acaweb_fx User: postgres
Queries generating the largest temporary files
Rank Size Query 1 11.11 GiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:03:23 - Database: acaweb_fx - User: postgres ]
2 11.11 GiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:08:13 - Database: acaweb_fx - User: postgres ]
3 5.11 GiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:18:14 - Database: acaweb_fx - User: postgres ]
4 1.47 GiB UPDATE public.t15_ps set symbolid = sub.symbolid FROM symbols sub where public.t15_ps.symbolid = sub.old_symbolid;[ Date: 2022-03-31 11:02:29 - Database: acaweb_fx_bigint - User: postgres ]
5 1.04 GiB --WITH broker_wp AS (select whid, row_number() over (partition by brokerid order by whid desc) r --from whatshot where CASE WHEN v_BrokerId IS NULL THEN True ELSE v_BrokerId = brokerid END) SELECT DISTINCT ON (ar.resultuid) 'Chart_Pattern'::character varying AS pattern_type, cast('cp_' || ar.resultuid as character varying) AS uuid, symbol_brokers.broker_ids::character varying AS broker_ids, bi.broker_symbol_mappings::character varying AS broker_symbol_mappings, s.exchange::character varying AS exchange, s.symbolid::bigint AS symbol_id, s.symbol::character varying AS symbol, s.shortname::character varying AS short_name, s.longname::character varying AS long_name, s.timegranularity AS "interval", dftt.timezone::character varying AS timezone, dftt.absolutetimezoneoffset::integer AS timezoneoffset, ar.gmttimefound AS pattern_gmt_timefound, ar.resultuid::bigint AS result_uid, ar.old_resultuid::int AS old_result_uid, 0 AS pattern_id, ar.direction AS direction, ar.pattern::character varying AS pattern_name, dss.downloadersymbol::character varying AS downloader_symbol, CASE WHEN ar.breakout > - 1 THEN 'Completed'::character varying ELSE 'Emerging'::character varying END AS pattern_category, ar.patternendtime + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_end_time, ar.patternstarttime + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_start_time, ar.patternlengthbars AS pattern_length, CASE WHEN ar.resultuid > v_Max_Relevance_RUID THEN 0 ELSE COALESCE(rar.age, 11) END AS age, CASE WHEN ar.resultuid > v_Max_Relevance_RUID THEN 1 ELSE COALESCE(rar.relevant, 0) END AS relevance, ar.predictiontimefrom + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS prediction_time_from, ar.predictiontimeto + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS prediction_time_to, ar.predictionpricefrom AS prediction_price_from, ar.predictionpriceto AS prediction_price_to, ar.patternquality AS pattern_quality, ar.patternstartprice AS pattern_start_price, ar.patternendprice AS pattern_end_price, ar.breakout AS breakout, ar.resx0 + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_cp_resx0, ar.resx1 + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_cp_resx1, ar.resy0 AS pattern_cp_resy0, ar.resy1 AS pattern_cp_resy1, ar.supportx0 + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_cp_supportx0, ar.supportx1 + interval '1 hour' * - 1 * dftt.absolutetimezoneoffset AS pattern_cp_supportx1, ar.supporty0 AS pattern_cp_supporty0, ar.supporty1 AS pattern_cp_supporty1, ar.trendchange AS pattern_cp_trend_change, ar.volumeincrease AS pattern_cp_volume_increase, ar.symmetry AS pattern_cp_uniformity, ar.initialtrend AS pattern_cp_initial_trend, 1 - ar.noise AS pattern_clarity, 0.0::double precision AS pattern_fp_average_quality, 0.0::double precision AS pattern_fp_pricea, 0.0::double precision AS pattern_fp_priceb, 0.0::double precision AS pattern_fp_pricec, 0.0::double precision AS pattern_fp_pricex, 0.0::double precision AS pattern_fp_priced, ''::character varying AS pattern_fp_ratiosfound, 0.0::double precision AS pattern_fp_target_03, 0.0::double precision AS pattern_fp_target_05, 0.0::double precision AS pattern_fp_target_06, 0.0::double precision AS pattern_fp_target_07, 0.0::double precision AS pattern_fp_target_10, 0.0::double precision AS pattern_fp_target_12, 0.0::double precision AS pattern_fp_target_16, '1900-01-01'::timestamp without time zone AS pattern_fp_timea, '1900-01-01'::timestamp without time zone AS pattern_fp_timeb, '1900-01-01'::timestamp without time zone AS pattern_fp_timec, '1900-01-01'::timestamp without time zone AS pattern_fp_timed, 0.0::double precision AS pattern_fp_timequality, '1900-01-01'::timestamp without time zone AS pattern_fp_timex, 0.0::double precision AS pattern_fp_ratioquality, 0.0::double precision AS pattern_kl_errormargin, 0.0::double precision AS pattern_kl_breakoutprice, 0 AS pattern_kl_breakoutbars, 0.0::double precision AS pattern_kl_stoplosslevel, '1900-01-01'::timestamp without time zone AS pattern_kl_approaching_time, 0.0::double precision AS pattern_kl_approachingregion, 0 AS pattern_kl_predictiontimebars, '1900-01-01'::timestamp without time zone AS pattern_kl_x0, '1900-01-01'::timestamp without time zone AS pattern_kl_x1, '1900-01-01'::timestamp without time zone AS pattern_kl_x2, '1900-01-01'::timestamp without time zone AS pattern_kl_x3, '1900-01-01'::timestamp without time zone AS pattern_kl_x4, '1900-01-01'::timestamp without time zone AS pattern_kl_x5, '1900-01-01'::timestamp without time zone AS pattern_kl_x6, '1900-01-01'::timestamp without time zone AS pattern_kl_x7, '1900-01-01'::timestamp without time zone AS pattern_kl_x8, '1900-01-01'::timestamp without time zone AS pattern_kl_x9, 0.0::double precision AS pattern_jc_initial_trend_strength, CASE WHEN wp.hod_correct IS NULL THEN 0 ELSE wp.hod_correct END AS stats_hod_correct, CASE WHEN wp.hod_percent IS NULL THEN 0.0 ELSE wp.hod_percent END AS stats_hod_percent, CASE WHEN wp.hod_total IS NULL THEN 0 ELSE wp.hod_total END AS stats_hod_total, extract(hour from ar.patternendtime)::int AS stats_pattern_hourofday, CASE WHEN wp.pattern_correct IS NULL THEN 0 ELSE wp.pattern_correct END AS stats_pattern_name_correct, CASE WHEN wp.pattern_percent IS NULL THEN 0.0 ELSE wp.pattern_percent END AS stats_pattern_name_percent, CASE WHEN wp.pattern_total IS NULL THEN 0 ELSE wp.pattern_total END AS stats_pattern_name_total, CASE WHEN wp.percent IS NULL THEN 0.0 ELSE wp.percent END AS stats_percent, CASE WHEN wp.symbol_correct IS NULL THEN 0 ELSE wp.symbol_correct END AS stats_symbol_correct, CASE WHEN wp.symbol_percent IS NULL THEN 0.0 ELSE wp.symbol_percent END AS stats_symbol_percent, CASE WHEN wp.symbol_total IS NULL THEN 0 ELSE wp.symbol_total END AS stats_symbol_total, 0 AS ig_derivativeid, ''::character varying AS ig_fullname, 0 AS ig_isunderlying, 0.0::double precision AS ig_premium, 0 AS ig_underlyingid, ''::character varying AS ig_epic, 0 AS ig_id, 0.0::double precision AS pattern_bm_statistical_movement, 0.0::double precision AS pattern_bm_movement, 0.0::double precision AS pattern_bm_movement_percentile, 0 AS pattern_cc_qty_consecutive_candles, 0 AS pattern_cc_statistical_qty_candles, 0.0::double precision AS pattern_cc_consecutice_candles_percentile, 0.0::double precision AS pattern_st_to_price, ;[ Date: 2022-03-31 13:13:06 - Database: acaweb_fx - User: postgres ]
6 1.00 GiB update t15_ps set symbolid = sub.symbolid FROM symbols sub where t15_ps.symbolid = sub.old_symbolid;[ Date: 2022-03-31 11:49:41 - Database: acaweb_fx_bigint - User: postgres ]
7 1.00 GiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:16:35 - Database: acaweb_fx - User: postgres ]
8 1.00 GiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:16:35 - Database: acaweb_fx - User: postgres ]
9 1.00 GiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:16:35 - Database: acaweb_fx - User: postgres ]
10 1.00 GiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:17:32 - Database: acaweb_fx - User: postgres ]
11 1.00 GiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:17:35 - Database: acaweb_fx - User: postgres ]
12 1.00 GiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:17:38 - Database: acaweb_fx - User: postgres ]
13 1.00 GiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:17:38 - Database: acaweb_fx - User: postgres ]
14 1020.30 MiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:17:38 - Database: acaweb_fx - User: postgres ]
15 1014.24 MiB COPY ( select /*_solr_fetch_results__*/ array_to_json(array_agg(row_to_json(t, false))) from ( select distinct pattern_type, uuid, string_to_array(broker_ids, ',') as broker_ids, string_to_array(COALESCE(replace(broker_symbol_mappings, '"', ''), ''), ',') as broker_symbol_mappings, replace(exchange, '"', '') as exchange,symbol_id,replace(symbol,'"','') as symbol, replace(short_name, '"', '') as short_name,replace(long_name,'"','') as long_name, interval, replace(timezone, '"', '') as timezone, timezoneoffset, pattern_gmt_timefound, result_uid, old_result_uid, pattern_id, direction, pattern_name, downloader_symbol, pattern_category, pattern_end_time, pattern_start_time, pattern_length, age, relevance, prediction_time_from, prediction_time_to, prediction_price_from, prediction_price_to, pattern_quality, pattern_start_price, pattern_end_price, breakout, pattern_cp_resx0, pattern_cp_resx1, pattern_cp_resy0, pattern_cp_resy1, pattern_cp_supportx0, pattern_cp_supportx1, pattern_cp_supporty0, pattern_cp_supporty1, pattern_cp_trend_change, pattern_cp_volume_increase, pattern_cp_uniformity, pattern_cp_initial_trend, pattern_clarity, pattern_fp_average_quality, pattern_fp_pricea, pattern_fp_priceb, pattern_fp_pricec, pattern_fp_pricex, pattern_fp_priced, pattern_fp_ratiosfound, pattern_fp_target_03, pattern_fp_target_05, pattern_fp_target_06, pattern_fp_target_07, pattern_fp_target_10, pattern_fp_target_12, pattern_fp_target_16, pattern_fp_timea, pattern_fp_timeb, pattern_fp_timec, pattern_fp_timed, pattern_fp_timequality, pattern_fp_timex, pattern_fp_ratioquality, pattern_kl_errormargin as pattern_kl_error_margin, pattern_kl_breakoutprice as pattern_kl_breakout_price, pattern_kl_breakoutbars as pattern_kl_breakout_bars, pattern_kl_stoplosslevel as pattern_kl_stoploss_level, pattern_kl_approaching_time as pattern_kl_approaching_time, pattern_kl_approachingregion as pattern_kl_approaching_region, pattern_kl_predictiontimebars as pattern_kl_prediction_time_bars, pattern_kl_x0 as pattern_kl_point_x0, pattern_kl_x1 as pattern_kl_point_x1, pattern_kl_x2 as pattern_kl_point_x2, pattern_kl_x3 as pattern_kl_point_x3, pattern_kl_x4 as pattern_kl_point_x4, pattern_kl_x5 as pattern_kl_point_x5, pattern_kl_x6 as pattern_kl_point_x6, pattern_kl_x7 as pattern_kl_point_x7, pattern_kl_x8 as pattern_kl_point_x8, pattern_kl_x9 as pattern_kl_point_x9, pattern_jc_initial_trend_strength, stats_hod_correct, stats_hod_percent, stats_hod_total, stats_pattern_hourofday, stats_pattern_name_correct, stats_pattern_name_percent, stats_pattern_name_total, stats_percent, stats_symbol_correct, stats_symbol_percent, stats_symbol_total, ig_derivativeid, ig_fullname, ig_isunderlying, ig_premium, ig_underlyingid, ig_epic, ig_id, pattern_bm_statistical_movement, pattern_bm_movement, pattern_bm_movement_percentile, pattern_cc_qty_consecutive_candles, pattern_cc_statistical_qty_candles, pattern_cc_consecutice_candles_percentile, pattern_st_to_price, pattern_st_from_price, string_to_array(pattern_groupnames_per_broker, ',') as search_groups, string_to_array(pattern_basegroupnames, ',') as base_groups, simulation, signal_levels_entry_level, signal_levels_stop_level, signal_levels_target_level, signal_levels_target_period, signal_levels_filtered from solr_fetch_results ('Autochartist'::character varying, current_timestamp::timestamp without time zone)) t) TO '/tmp/solr_inserts_acaweb_fx.json';[ Date: 2022-03-31 13:17:38 - Database: acaweb_fx - User: postgres ]
16 847.18 MiB ALTER TABLE ONLY public.t15_ps ADD CONSTRAINT pk_t15_ps PRIMARY KEY (pricedatetime, symbolid);[ Date: 2022-03-31 10:00:30 - Database: acaweb_fx_bigint - User: postgres ]
17 847.18 MiB ALTER TABLE t15_ps ADD CONSTRAINT pk_t15_ps PRIMARY KEY (pricedatetime, symbolid);[ Date: 2022-03-31 12:18:19 - Database: acaweb_fx_bigint - User: postgres ]
18 772.55 MiB UPDATE public.t30_ps set symbolid = sub.symbolid FROM symbols sub where public.t30_ps.symbolid = sub.old_symbolid;[ Date: 2022-03-31 11:06:29 - Database: acaweb_fx_bigint - User: postgres ]
19 753.87 MiB UPDATE public.stats_success set resultuid = sub.resultuid FROM keylevels_results sub WHERE public.stats_success.type ilike any (array['kl', 'ekl']) and public.stats_success.resultuid = sub.old_resultuid;[ Date: 2022-03-31 11:40:56 - Database: acaweb_fx_bigint - User: postgres ]
20 745.09 MiB ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: 2022-03-31 10:36:46 - Database: acaweb_fx_bigint - User: postgres ]
21 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
22 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
23 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
24 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
25 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
26 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
27 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
28 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
29 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
30 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
31 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
32 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
33 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
34 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
35 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
36 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
37 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
38 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
39 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
40 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
41 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
42 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
43 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
44 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
45 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
46 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
47 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
48 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
49 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
50 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
51 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
52 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
53 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
54 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
55 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
56 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
57 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
58 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
59 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
60 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
61 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
62 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
63 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
64 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
65 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
66 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
67 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
68 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
69 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
70 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
71 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
72 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
73 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
74 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
75 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
76 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
77 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
78 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
79 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
80 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
81 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
82 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
83 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
84 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
85 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
86 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
87 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
88 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
89 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
90 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
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390 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
391 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
392 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
393 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
394 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
395 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
396 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
397 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
398 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
399 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
400 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
401 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
402 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
403 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
404 0 ALTER TABLE public.stats_success ALTER COLUMN resultuid type bigint;[ Date: ]
-
Vacuums
Vacuums / Analyzes Distribution
Key values
- 0 sec Highest CPU-cost vacuum
Table
Database - Date
- 0 sec Highest CPU-cost analyze
Table
Database - Date
Autovacuum actions (5 minutes period)
NO DATASET
Analyzes per table
Key values
- unknown (0) Main table analyzed (database )
- 0 analyzes Total
Vacuums per table
Key values
- unknown (0) Main table vacuumed on database
- 0 vacuums Total
Tuples removed per table
Key values
- unknown (0) Main table with removed tuples on database
- 0 tuples Total removed
Pages removed per table
Key values
- unknown (0) Main table with removed pages on database unknown
- 0 pages Total removed
Autovacuum Activity
↑ Back to the top of the Autovacuum Activity tableDay Hour VACUUMs ANALYZEs Mar 31 00 0 0 01 0 0 02 0 0 03 0 0 04 0 0 05 0 0 06 0 0 07 0 0 08 0 0 09 0 0 10 0 0 11 0 0 12 0 0 13 0 0 14 0 0 15 0 0 16 0 0 17 0 0 18 0 0 19 0 0 20 0 0 21 0 0 22 0 0 23 0 0 - 0 sec Highest CPU-cost vacuum
-
Locks
Locks by types
Key values
- AccessShareLock Main Lock Type
- 97 locks Total
Type Object Count Total Duration Average Duration (s) AccessExclusiveLock 9 46m52s 5m12s relation 9 46m52s 5m12s AccessShareLock 67 5h24m4s 4m50s relation 67 5h24m4s 4m50s ExclusiveLock 1 1s 1s relation 1 1s 1s RowExclusiveLock 16 52s668ms 3s291ms object 16 52s668ms 3s291ms ShareLock 4 5s590ms 1s397ms relation 1 1s4ms 1s4ms transaction 3 4s586ms 1s528ms Total 97 6h11m56s 3m50s Most frequent waiting queries (N)
Rank Count Total time Min time Max time Avg duration Query 1 34 2h51m41s 3m1s 7m4s 5m2s 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 ?;-
UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ADSSECURITIES') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ADSSECURITIES';
Date: 2022-03-31 06:25:06 Database: acaweb_fx User: postgres
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'GO_MARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'GO_MARKETS';
Date: 2022-03-31 06:25:06 Database: acaweb_fx User: postgres
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'HOTFOREX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'HOTFOREX';
Date: 2022-03-31 06:25:06 Database: acaweb_fx User: postgres
2 26 2h11m17s 3m1s 7m4s 5m2s update datafeeds_latestrun set latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime from ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = ?) as subquery where datafeeds_latestrun.feedname = ?;-
UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'IFCMARKETSMT4') AS subquery WHERE datafeeds_latestrun.feedname = 'IFCMARKETSMT4';
Date: 2022-03-31 06:25:06 Database: acaweb_fx User: postgres
-
UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'GKINVESTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'GKINVESTMT5';
Date: 2022-03-31 06:25:06 Database: acaweb_fx User: postgres
-
UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'XM') AS subquery WHERE datafeeds_latestrun.feedname = 'XM';
Date: 2022-03-31 06:25:06 Database: acaweb_fx User: postgres
3 6 21m4s 40s432ms 6m27s 3m30s select recognitionengine, to_char(datetimeupdate, ?) from latest_candle_datetime_per_receng;-
select recognitionengine, to_char(datetimeupdate, 'yyyy-mm-dd HH24:MI') from latest_candle_datetime_per_receng;
Date: 2022-03-31 09:50:58 Database: acaweb_fx User: postgres
4 2 21m 1m11s 19m49s 10m30s truncate table solr_relevance_old;-
TRUNCATE TABLE solr_relevance_old;
Date: 2022-03-31 06:25:00 Database: acaweb_fx User: postgres
-
TRUNCATE TABLE solr_relevance_old;
Date: 2022-03-31 09:42:23 Database: acaweb_fx User: postgres
-
TRUNCATE TABLE solr_relevance_old;
Date: 2022-03-31 03:03:11 Database: acaweb_fx User: postgres
5 2 13m54s 4m55s 8m58s 6m57s refresh materialized view latest_t15_candle_view;-
refresh materialized view latest_t15_candle_view;
Date: 2022-03-31 06:25:06 Database: acaweb_fx User: postgres
-
refresh materialized view latest_t15_candle_view;
Date: 2022-03-31 09:51:03 Database: acaweb_fx User: postgres
-
refresh materialized view latest_t15_candle_view;
Date: 2022-03-31 12:17:18 Database: acaweb_fx User: postgres
6 2 11m53s 3m55s 7m58s 5m56s refresh materialized view latest_candle_datetime_per_receng;-
refresh materialized view latest_candle_datetime_per_receng;
Date: 2022-03-31 06:25:01 Database: acaweb_fx User: postgres
-
refresh materialized view latest_candle_datetime_per_receng;
Date: 2022-03-31 09:50:58 Database: acaweb_fx User: postgres
-
refresh materialized view latest_candle_datetime_per_receng;
Date: 2022-03-31 12:17:11 Database: acaweb_fx User: postgres
7 2 3s399ms 1s20ms 2s378ms 1s699ms update whatshot_pref set whatshotlimit = ?, whatshotpercent = ?, groupname = ? where clientid = ?;-
UPDATE whatshot_pref SET whatshotlimit = '4', whatshotpercent = '4', groupname = 'Indices CFDs' WHERE clientid = 'mountasserellousi13@gmail.com';
Date: 2022-03-31 11:29:22 Database: acaweb_fx User: postgres Bind query: yes
-
UPDATE whatshot_pref SET whatshotlimit = '4', whatshotpercent = '3', groupname = 'Forex Minors' WHERE clientid = 'villeoak@protonmail.ch';
Date: 2022-03-31 11:28:21 Database: acaweb_fx User: postgres Bind query: yes
-
UPDATE whatshot_pref SET whatshotlimit = '4', whatshotpercent = '4', groupname = 'Forex Minors' WHERE clientid = 'mountasserellousi13@gmail.com';
Date: 2022-03-31 11:28:07 Database: acaweb_fx User: postgres Bind query: yes
8 1 1s323ms 1s323ms 1s323ms 1s323ms select c2.relname, i.indisprimary, i.indisunique, i.indisclustered, i.indisvalid, pg_catalog.pg_get_indexdef(i.indexrelid, ?, true), pg_catalog.pg_get_constraintdef(con.oid, true), contype, condeferrable, condeferred, i.indisreplident, c2.reltablespace from pg_catalog.pg_class c, pg_catalog.pg_class c2, pg_catalog.pg_index i left join pg_catalog.pg_constraint con on (conrelid = i.indrelid and conindid = i.indexrelid and contype in (...)) where c.oid = ? and c.oid = i.indrelid and i.indexrelid = c2.oid order by i.indisprimary desc, c2.relname;-
SELECT c2.relname, i.indisprimary, i.indisunique, i.indisclustered, i.indisvalid, pg_catalog.pg_get_indexdef(i.indexrelid, 0, true), pg_catalog.pg_get_constraintdef(con.oid, true), contype, condeferrable, condeferred, i.indisreplident, c2.reltablespace FROM pg_catalog.pg_class c, pg_catalog.pg_class c2, pg_catalog.pg_index i LEFT JOIN pg_catalog.pg_constraint con ON (conrelid = i.indrelid AND conindid = i.indexrelid AND contype IN ('p', 'u', 'x')) WHERE c.oid = '5894331' AND c.oid = i.indrelid AND i.indexrelid = c2.oid ORDER BY i.indisprimary DESC, c2.relname;
Date: 2022-03-31 12:40:55 Database: acaweb_fx_bigint User: postgres
-
SELECT c2.relname, i.indisprimary, i.indisunique, i.indisclustered, i.indisvalid, pg_catalog.pg_get_indexdef(i.indexrelid, 0, true), pg_catalog.pg_get_constraintdef(con.oid, true), contype, condeferrable, condeferred, i.indisreplident, c2.reltablespace FROM pg_catalog.pg_class c, pg_catalog.pg_class c2, pg_catalog.pg_index i LEFT JOIN pg_catalog.pg_constraint con ON (conrelid = i.indrelid AND conindid = i.indexrelid AND contype IN ('p', 'u', 'x')) WHERE c.oid = '5894331' AND c.oid = i.indrelid AND i.indexrelid = c2.oid ORDER BY i.indisprimary DESC, c2.relname;
Date: 2022-03-31 12:40:55 Database: acaweb_fx_bigint User: postgres
9 1 1s186ms 1s186ms 1s186ms 1s186ms update patternresultsrelevance set relevant = ?, saxo_relevant = ?, notrelevantpricedatetime = ?, reason = ? where uniqueindex = ? and relevant = ?;-
UPDATE patternresultsrelevance SET relevant = 0, saxo_relevant = 0, notrelevantpricedatetime = '2022-03-30 18:00:00', reason = 'Approaching pattern wick broke through price level.' WHERE uniqueIndex = '|968822|2722.591|2|2022-03-30 17:00:00|1|-1' and relevant = 1;
Date: 2022-03-31 14:05:39 Database: acaweb_fx User: postgres
-
UPDATE patternresultsrelevance SET relevant = 0, saxo_relevant = 0, notrelevantpricedatetime = '2022-03-31 15:00:00', reason = 'Emerging pattern formed a completed pattern.' WHERE uniqueIndex = '1028058-1|44643.5833|44649.7083|44642.75|44644.7083|111.084|116.062|106.728|109.349' and relevant = 1;
Date: 2022-03-31 16:05:33 Database: acaweb_fx User: postgres
-
UPDATE patternresultsrelevance SET relevant = 0, saxo_relevant = 0, notrelevantpricedatetime = '2022-03-31 13:00:00', reason = 'Pattern has turned opposite direction' WHERE uniqueIndex = '3 Point Extension|1|2022-03-30 04:00:00|107.61|106.485|3|25|CD=1.618*BC (1.661)|0|975967|1899-12-29 00:00:00|1899-12-29 00:00:00|2022-03-30 04:00:00|2022-03-30 18:00:00|2022-03-31 08:00:00' and relevant = 1;
Date: 2022-03-31 14:05:39 Database: acaweb_fx User: postgres
10 1 1s4ms 1s4ms 1s4ms 1s4ms create index idx_trumpet_fromtime on public.powerstats_trumpet using btree (fromtime);-
CREATE INDEX idx_trumpet_fromtime ON public.powerstats_trumpet USING btree (fromtime);
Date: 2022-03-31 09:57:09 Database: acaweb_fx_bigint User: postgres
11 1 1s 1s 1s 1s alter table keylevels_results drop constraint idx_keylevels_uniquepointsvalue;-
ALTER TABLE keylevels_results DROP CONSTRAINT idx_keylevels_uniquepointsvalue;
Date: 2022-03-31 10:18:19 Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE keylevels_results DROP CONSTRAINT idx_keylevels_uniquepointsvalue;
Date: 2022-03-31 10:18:19 Database: acaweb_fx_bigint User: postgres
12 1 1s 1s 1s 1s alter table only archive.stats_success add constraint idx_resultuidtype unique (resultuid, type);-
ALTER TABLE ONLY archive.stats_success ADD CONSTRAINT idx_resultuidtype UNIQUE (resultuid, type);
Date: 2022-03-31 09:55:12 Database: acaweb_fx_bigint User: postgres
13 1 1s 1s 1s 1s select updateresultsmaterializedview ();-
select updateresultsmaterializedview ();
Date: 2022-03-31 12:12:49 Database: acaweb_fx User: postgres
-
select updateresultsmaterializedview ();
Date: 2022-03-31 12:24:17 Database: acaweb_fx User: postgres
-
select updateresultsmaterializedview ();
Date: 2022-03-31 11:10:18 Database: acaweb_fx User: postgres
14 1 1s 1s 1s 1s alter table patternresultsage drop constraint pk_pattresultsage_ruid_type;-
ALTER TABLE patternresultsage DROP CONSTRAINT pk_pattresultsage_ruid_type;
Date: 2022-03-31 10:18:20 Database: acaweb_fx_bigint User: postgres
-
ALTER TABLE patternresultsage DROP CONSTRAINT pk_pattresultsage_ruid_type;
Date: 2022-03-31 10:18:20 Database: acaweb_fx_bigint User: postgres
Queries that waited the most
Rank Wait time Query 1 19m49s TRUNCATE TABLE solr_relevance_old;[ Date: 2022-03-31 06:25:00 - Database: acaweb_fx - User: postgres ]
2 8m58s refresh materialized view latest_t15_candle_view;[ Date: 2022-03-31 06:25:00 - Database: acaweb_fx - User: postgres ]
3 7m58s refresh materialized view latest_candle_datetime_per_receng;[ Date: 2022-03-31 06:25:00 - Database: acaweb_fx - User: postgres ]
4 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ADSSECURITIES') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ADSSECURITIES';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
5 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'GKINVESTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'GKINVESTMT5';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
6 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ATFX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ATFX';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
7 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'GO_MARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'GO_MARKETS';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
8 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'IFCMARKETSMT4') AS subquery WHERE datafeeds_latestrun.feedname = 'IFCMARKETSMT4';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
9 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'PHILLIPFUTURES') AS subquery WHERE datafeeds_latestrun.feedname = 'PHILLIPFUTURES';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
10 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'Alpari') AS subquery WHERE datafeeds_latestrun.feedname ilike 'Alpari';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
11 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'EVERESTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'EVERESTMT5';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
12 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'GKFXPRIME') AS subquery WHERE datafeeds_latestrun.feedname ilike 'GKFXPRIME';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
13 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'XM') AS subquery WHERE datafeeds_latestrun.feedname = 'XM';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
14 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'VALBURYCAPITAL') AS subquery WHERE datafeeds_latestrun.feedname ilike 'VALBURYCAPITAL';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
15 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'GLOBALGTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'GLOBALGTMT5';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
16 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'HOTFOREX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'HOTFOREX';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
17 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'DXFEED_FX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'DXFEED_FX';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
18 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'MILLENNIUMPF') AS subquery WHERE datafeeds_latestrun.feedname = 'MILLENNIUMPF';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
19 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'axiory') AS subquery WHERE datafeeds_latestrun.feedname ilike 'axiory';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
20 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ICMARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ICMARKETS';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
-
Queries
Queries by type
Key values
- 84,281 Total read queries
- 47,066 Total write queries
Queries by database
Key values
- acaweb_fx Main database
- 130,554 Requests
- 2d8h12m26s (acaweb_fx)
- Main time consuming database
Database Request type Count Duration acaweb_fx Total 130,554 2d8h12m26s copy from 1,419 3m25s copy to 568 1h28m6s cte 41,717 1d12h55m42s ddl 14 21m2s insert 878 1m19s others 190 41m15s select 84,218 11h30m13s update 1,550 5h11m22s acaweb_fx_bigint Total 1,019 3h20m41s copy from 71 25m2s copy to 5 506ms cte 23 1m42s ddl 628 1h30m36s others 40 21m12s select 61 14s384ms tcl 45 7s36ms update 146 1h1m46s postgres Total 4 785ms ddl 2 314ms select 2 470ms Queries by user
Key values
- postgres Main user
- 131,577 Requests
User Request type Count Duration postgres Total 131,577 2d11h33m9s copy from 1,490 28m27s copy to 573 1h28m6s cte 41,740 1d12h57m24s ddl 644 1h51m38s insert 878 1m19s others 230 1h2m28s select 84,281 11h30m28s tcl 45 7s36ms update 1,696 6h13m8s Duration by user
Key values
- 2d11h33m9s (postgres) Main time consuming user
User Request type Count Duration postgres Total 131,577 2d11h33m9s copy from 1,490 28m27s copy to 573 1h28m6s cte 41,740 1d12h57m24s ddl 644 1h51m38s insert 878 1m19s others 230 1h2m28s select 84,281 11h30m28s tcl 45 7s36ms update 1,696 6h13m8s Queries by host
Key values
- unknown Main host
- 131,577 Requests
- 2d11h33m9s (unknown)
- Main time consuming host
Queries by application
Key values
- unknown Main application
- 131,577 Requests
- 2d11h33m9s (unknown)
- Main time consuming application
Number of cancelled queries
Key values
- 0 per second Cancelled query Peak
- 2022-03-31 17:30:45 Date
Number of cancelled queries (5 minutes period)
NO DATASET
-
Top Queries
Histogram of query times
Key values
- 48,397 50-100ms duration
Slowest individual queries
Rank Duration Query 1 53m10s select stats_populatestatssuccess_keylevels (( select coalesce(vGetBigInt ('stats_latestresultuid_kl'), 0)));[ Date: 2022-03-31 02:53:12 - Database: acaweb_fx - User: postgres ]
2 19m49s TRUNCATE TABLE solr_relevance_old;[ Date: 2022-03-31 06:25:00 - Database: acaweb_fx - User: postgres ]
3 9m4s refresh materialized view latest_t15_candle_view;[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
4 8m40s WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;[ Date: 2022-03-31 10:09:11 - Database: acaweb_fx - User: postgres - Bind query: yes ]
5 8m40s WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;[ Date: 2022-03-31 11:10:33 - Database: acaweb_fx - User: postgres - Bind query: yes ]
6 7m59s refresh materialized view latest_candle_datetime_per_receng;[ Date: 2022-03-31 06:25:01 - Database: acaweb_fx - User: postgres ]
7 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ADSSECURITIES') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ADSSECURITIES';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
8 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'GO_MARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'GO_MARKETS';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
9 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'HOTFOREX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'HOTFOREX';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
10 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'DKFX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'DKFX';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
11 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'VALBURYCAPITAL') AS subquery WHERE datafeeds_latestrun.feedname ilike 'VALBURYCAPITAL';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
12 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ALBForex') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ALBForex';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
13 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'Alpari') AS subquery WHERE datafeeds_latestrun.feedname ilike 'Alpari';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
14 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'AKFX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'AKFX';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
15 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ATFX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ATFX';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
16 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'Forex4You') AS subquery WHERE datafeeds_latestrun.feedname ilike 'Forex4You';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
17 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'DXFEED_FX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'DXFEED_FX';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
18 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'axiory') AS subquery WHERE datafeeds_latestrun.feedname ilike 'axiory';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
19 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'AMANACAPITAL') AS subquery WHERE datafeeds_latestrun.feedname ilike 'AMANACAPITAL';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
20 7m4s UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ICMARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ICMARKETS';[ Date: 2022-03-31 06:25:06 - Database: acaweb_fx - User: postgres ]
Time consuming queries
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 10h3m11s 10,889 1s265ms 3m21s 3s323ms with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ) select a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternstartprice, patternendprice, qtytp, newlevels.profit, newlevels.stop, newlevels.filtered, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from autochartist_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern inner join rar_max rm on ? = ? left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid left join lateral calc_cp_signal (a.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 31 00 722 19m28s 1s618ms 01 734 20m11s 1s650ms 02 713 23m35s 1s985ms 03 641 22m12s 2s78ms 04 767 23m15s 1s819ms 05 791 25m47s 1s955ms 06 872 30m16s 2s83ms 07 850 24m2s 1s696ms 08 1,157 35m22s 1s834ms 09 1,438 1h6m32s 2s776ms 10 1,044 1h37m17s 5s591ms 11 608 1h54m20s 11s284ms 12 552 1h40m48s 10s957ms [ User: postgres - Total duration: 10h3m11s - Times executed: 10889 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ) SELECT a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, CASE WHEN a.old_resultuid = '582634128' THEN a.old_resultuid ELSE a.resultuid END AS uid, breakout, initialtrend, volumeincrease, symmetry AS uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternStartPrice, patternEndPrice, qtytp, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid LEFT JOIN LATERAL calc_cp_signal (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582634128' OR a.resultuid = '582634128') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:37:39 Duration: 3m21s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ) SELECT a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, CASE WHEN a.old_resultuid = '582635804' THEN a.old_resultuid ELSE a.resultuid END AS uid, breakout, initialtrend, volumeincrease, symmetry AS uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternStartPrice, patternEndPrice, qtytp, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid LEFT JOIN LATERAL calc_cp_signal (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582635804' OR a.resultuid = '582635804') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:37:39 Duration: 3m21s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ) SELECT a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, CASE WHEN a.old_resultuid = '582601664' THEN a.old_resultuid ELSE a.resultuid END AS uid, breakout, initialtrend, volumeincrease, symmetry AS uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternStartPrice, patternEndPrice, qtytp, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid LEFT JOIN LATERAL calc_cp_signal (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582601664' OR a.resultuid = '582601664') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:37:43 Duration: 3m20s Database: acaweb_fx User: postgres Bind query: yes
2 7h48m7s 6,130 976ms 2m45s 4s582ms with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ) select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as ruid, s.symbolid as sid, s.symbol as sym, longname, shortname, exchange as e, timegranularity as tg, a.patternid as pid, a.direction as d, a.patternprice as pp, atbaridentified as pet, case when (x9 != ?) then x9 when (x8 != ?) then x8 when (x7 != ?) then x7 when (x6 != ?) then x6 when (x5 != ?) then x5 when (x4 != ?) then x4 when (x3 != ?) then x3 when (x2 != ?) then x2 end as pst, patternprice as patp, x0, x1, x2, case when (x3 != ?) then x3 else ? end as x3, case when (x4 != ?) then x4 else ? end as x4, case when (x5 != ?) then x5 else ? end as x5, case when (x6 != ?) then x6 else ? end as x6, case when (x7 != ?) then x7 else ? end as x7, case when (x8 != ?) then x8 else ? end as x8, errormargin as erm, breakoutprice as pe, breakoutbars as be, breakout, atbaridentified as atbar, atpriceidentified as atprice, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzos, dtt.timezone as timezone, approachingtimestamp as apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, furthestprice as fp, newlevels.filtered, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from keylevels_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join hrspatterns p on a.patternid = p.patternid inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on a.resultuid = rar.resultuid left join lateral calc_kl_signal_filter (a.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Mar 31 00 309 7m50s 1s521ms 01 268 7m4s 1s583ms 02 206 7m21s 2s143ms 03 317 9m20s 1s769ms 04 430 10m46s 1s504ms 05 449 12m6s 1s618ms 06 549 22m6s 2s416ms 07 612 15m33s 1s524ms 08 642 18m30s 1s729ms 09 739 39m37s 3s217ms 10 656 1h16m41s 7s15ms 11 531 2h8m23s 14s506ms 12 422 1h52m44s 16s30ms [ User: postgres - Total duration: 7h48m7s - Times executed: 6130 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '82438976' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice AS pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '0' END AS x3, CASE WHEN (x4 != '') THEN x4 ELSE '0' END AS x4, CASE WHEN (x5 != '') THEN x5 ELSE '0' END AS x5, CASE WHEN (x6 != '') THEN x6 ELSE '0' END AS x6, CASE WHEN (x7 != '') THEN x7 ELSE '0' END AS x7, CASE WHEN (x8 != '') THEN x8 ELSE '0' END AS x8, errorMargin AS erm, breakoutprice AS pE, breakoutbars AS be, breakout, atbaridentified AS atBar, atpriceidentified AS atPrice, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname AS patternname, dtt.absolutetimezoneoffset AS tzOs, dtt.timezone AS timezone, approachingtimestamp AS apt, approachingregion AS apr, predictionpricefrom AS ppf, predictionpriceto AS ppt, predictiontimefrom AS ptf, predictiontimebars AS ptb, furthestprice AS fp, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM keylevels_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON a.resultuid = rar.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '82438976' OR a.resultuid = '82438976') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:24:25 Duration: 2m45s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '82460728' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice AS pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '0' END AS x3, CASE WHEN (x4 != '') THEN x4 ELSE '0' END AS x4, CASE WHEN (x5 != '') THEN x5 ELSE '0' END AS x5, CASE WHEN (x6 != '') THEN x6 ELSE '0' END AS x6, CASE WHEN (x7 != '') THEN x7 ELSE '0' END AS x7, CASE WHEN (x8 != '') THEN x8 ELSE '0' END AS x8, errorMargin AS erm, breakoutprice AS pE, breakoutbars AS be, breakout, atbaridentified AS atBar, atpriceidentified AS atPrice, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname AS patternname, dtt.absolutetimezoneoffset AS tzOs, dtt.timezone AS timezone, approachingtimestamp AS apt, approachingregion AS apr, predictionpricefrom AS ppf, predictionpriceto AS ppt, predictiontimefrom AS ptf, predictiontimebars AS ptb, furthestprice AS fp, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM keylevels_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON a.resultuid = rar.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '82460728' OR a.resultuid = '82460728') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:24:25 Duration: 2m44s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '82460722' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice AS pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '0' END AS x3, CASE WHEN (x4 != '') THEN x4 ELSE '0' END AS x4, CASE WHEN (x5 != '') THEN x5 ELSE '0' END AS x5, CASE WHEN (x6 != '') THEN x6 ELSE '0' END AS x6, CASE WHEN (x7 != '') THEN x7 ELSE '0' END AS x7, CASE WHEN (x8 != '') THEN x8 ELSE '0' END AS x8, errorMargin AS erm, breakoutprice AS pE, breakoutbars AS be, breakout, atbaridentified AS atBar, atpriceidentified AS atPrice, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname AS patternname, dtt.absolutetimezoneoffset AS tzOs, dtt.timezone AS timezone, approachingtimestamp AS apt, approachingregion AS apr, predictionpricefrom AS ppf, predictionpriceto AS ppt, predictiontimefrom AS ptf, predictiontimebars AS ptb, furthestprice AS fp, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM keylevels_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON a.resultuid = rar.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '82460722' OR a.resultuid = '82460722') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:24:25 Duration: 2m44s Database: acaweb_fx User: postgres Bind query: yes
3 5h29m8s 2,847 50ms 3m3s 6s936ms with rar_max as ( ;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Mar 31 00 144 15m33s 6s485ms 01 129 12m34s 5s845ms 02 139 15m39s 6s755ms 03 117 13m2s 6s688ms 04 131 14m4s 6s444ms 05 126 12m29s 5s948ms 06 129 13m56s 6s486ms 07 119 11m58s 6s37ms 08 123 12m13s 5s962ms 09 118 17m28s 8s883ms 10 91 16m41s 11s7ms 11 87 12m58s 8s948ms 12 105 22m21s 12s780ms 13 98 12m48s 7s844ms 14 101 11m47s 7s1ms 15 121 12m59s 6s443ms 16 121 12m13s 6s63ms 17 116 11m44s 6s77ms 18 121 12m25s 6s164ms 19 143 15m5s 6s333ms 20 127 12m30s 5s908ms 21 126 14m11s 6s759ms 22 101 10m32s 6s264ms 23 114 11m45s 6s192ms [ User: postgres - Total duration: 5h29m8s - Times executed: 2847 ]
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WITH rar_max as ( ;
Date: 2022-03-31 12:24:49 Duration: 3m3s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( ;
Date: 2022-03-31 12:07:38 Duration: 2m6s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( ;
Date: 2022-03-31 10:58:15 Duration: 1m49s Database: acaweb_fx User: postgres Bind query: yes
4 5h9m48s 4,075 50ms 8m40s 4s561ms 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 ), results as ( select distinct on (s.symbolid) ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? 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 currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true where ar.gmttimefound > now() - interval ? and dss.enabled = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or 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 order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Mar 31 00 187 9m9s 2s938ms 01 186 7m52s 2s538ms 02 191 9m14s 2s900ms 03 189 10m13s 3s243ms 04 187 7m32s 2s422ms 05 187 7m7s 2s283ms 06 190 10m24s 3s287ms 07 190 8m19s 2s628ms 08 190 8m3s 2s544ms 09 185 15m43s 5s101ms 10 183 37m33s 12s316ms 11 183 56m55s 18s664ms 12 207 45m58s 13s323ms 13 100 4m9s 2s498ms 14 132 5m52s 2s671ms 15 144 7m3s 2s942ms 16 153 7m21s 2s883ms 17 156 7m15s 2s791ms 18 155 7m8s 2s765ms 19 156 7m18s 2s810ms 20 156 7m24s 2s849ms 21 156 7m17s 2s802ms 22 156 7m25s 2s857ms 23 156 7m23s 2s845ms [ User: postgres - Total duration: 5h9m48s - Times executed: 4075 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 10:09:11 Duration: 8m40s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:10:33 Duration: 8m40s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:29:55 Duration: 4m25s Database: acaweb_fx User: postgres Bind query: yes
5 3h28m55s 1,826 413ms 2m27s 6s865ms 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 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 (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 ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid, identified desc, length desc ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Mar 31 00 79 8m37s 6s545ms 01 82 8m40s 6s342ms 02 76 8m31s 6s734ms 03 63 8m 7s625ms 04 74 7m57s 6s454ms 05 90 10m17s 6s864ms 06 88 10m46s 7s343ms 07 85 9m1s 6s367ms 08 74 8m40s 7s36ms 09 63 9m41s 9s233ms 10 52 13m6s 15s119ms 11 42 15m22s 21s969ms 12 49 19m22s 23s728ms 13 151 9m16s 3s687ms 14 77 6m29s 5s52ms 15 86 7m9s 4s997ms 16 74 6m3s 4s908ms 17 60 5m1s 5s24ms 18 70 5m33s 4s762ms 19 90 7m7s 4s748ms 20 89 6m54s 4s657ms 21 74 5m46s 4s688ms 22 58 5m 5s179ms 23 80 6m26s 4s828ms [ User: postgres - Total duration: 3h28m55s - Times executed: 1826 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), 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 = '660' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:37:09 Duration: 2m27s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), 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 = '758' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:30:42 Duration: 1m34s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), 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 = '660' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:23:48 Duration: 1m29s Database: acaweb_fx User: postgres Bind query: yes
6 2h57m21s 779 50ms 7m4s 13s660ms 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 #6
Day Hour Count Duration Avg duration Mar 31 00 64 5s862ms 91ms 01 63 5s46ms 80ms 02 59 5s130ms 86ms 03 54 4s498ms 83ms 04 66 5s909ms 89ms 05 62 9s231ms 148ms 06 56 2h18s 2m8s 07 38 2s644ms 69ms 08 51 3s707ms 72ms 09 61 51m38s 50s802ms 10 68 1m 887ms 11 68 1m57s 1s728ms 12 68 1m44s 1s535ms 19 1 68ms 68ms [ User: postgres - Total duration: 2h57m21s - Times executed: 779 ]
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ADSSECURITIES') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ADSSECURITIES';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'GO_MARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'GO_MARKETS';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'HOTFOREX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'HOTFOREX';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
7 2h11m27s 89 56ms 7m4s 1m28s update datafeeds_latestrun set latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime from ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = ?) as subquery where datafeeds_latestrun.feedname = ?;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Mar 31 02 1 66ms 66ms 03 8 583ms 72ms 06 13 1h31m57s 7m4s 08 1 56ms 56ms 09 13 39m20s 3m1s 10 20 2s507ms 125ms 11 13 1s66ms 82ms 12 20 5s676ms 283ms [ User: postgres - Total duration: 2h11m27s - Times executed: 89 ]
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'IFCMARKETSMT4') AS subquery WHERE datafeeds_latestrun.feedname = 'IFCMARKETSMT4';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'GKINVESTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'GKINVESTMT5';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'XM') AS subquery WHERE datafeeds_latestrun.feedname = 'XM';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
8 1h17m27s 939 302ms 40s678ms 4s948ms 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 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 (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 <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid, identified desc, length desc ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Mar 31 00 35 2m32s 4s347ms 01 41 3m26s 5s28ms 02 35 2m52s 4s922ms 03 29 2m43s 5s643ms 04 35 3m1s 5s197ms 05 50 4m18s 5s178ms 06 50 4m5s 4s903ms 07 47 3m26s 4s385ms 08 40 2m54s 4s355ms 09 26 3m16s 7s552ms 10 27 3m24s 7s581ms 11 23 3m11s 8s309ms 12 23 2m26s 6s366ms 13 113 6m50s 3s631ms 14 41 3m46s 5s536ms 15 51 3m56s 4s638ms 16 37 3m7s 5s69ms 17 25 2m2s 4s899ms 18 32 2m24s 4s508ms 19 40 2m55s 4s391ms 20 41 3m2s 4s462ms 21 33 2m25s 4s400ms 22 28 2m14s 4s813ms 23 37 3m 4s890ms [ User: postgres - Total duration: 1h17m27s - Times executed: 939 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '538' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('11' = 0 OR coalesce(bim.code, s.symbol) in ('EURUSD', 'USDJPY', 'GBPUSD', 'GBPJPY', 'AUDUSD', 'EURJPY', 'USDCAD', 'EURGBP', 'XAUUSD', 'UKOIL', 'USOIL')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:06:00 Duration: 40s678ms Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '572' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('99' = 0 OR coalesce(bim.code, s.symbol) in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNOK', 'EURNZD', 'EURSEK', 'EURTRY', 'EURUSD', 'GAGEUR', 'GAGUSD', 'GAUEUR', 'GAUTRY', 'GAUUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPTRY', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDTRY', 'USDZAR', 'XAGEUR', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'BITCOINCASH', 'ETHEREUM', 'LITECOIN', 'RIPPLE', 'ADIDAS', 'APPLE', 'BMW', 'BOFA', 'BP', 'DAIMLER', 'DEUTSCHBANK', 'DISNEY', 'EEM', 'EXS1', 'EXW1', 'EXXONMOBIL', 'FACEBOOK', 'GDX', 'GLD', 'GOOGLE', 'LVMH', 'MICROSOFT', 'QQQ', 'SPY', 'TLT', 'USO', 'WAL-MART', 'BUND10YR', 'COCOA', 'COFFEE', 'COPPER', 'CORN', 'COTTON', 'DOW30', 'ESP35', 'EU50', 'FRA40', 'GER30', 'GILT10YR', 'ITA40', 'JPN225', 'NAS100', 'NATGAS', 'SOYBEAN', 'SPX500', 'SUGAR', 'UK100', 'UKOIL', 'US10YR', 'USOIL', 'WHEAT')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 10:57:27 Duration: 28s396ms Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true 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 kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 09:55:26 Duration: 27s218ms Database: acaweb_fx User: postgres Bind query: yes
9 1h7m14s 4,361 50ms 1m10s 925ms (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?))) union all (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ?))) union all (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)));Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 31 00 186 36s791ms 197ms 01 175 52s970ms 302ms 02 180 59s898ms 332ms 03 172 1m26s 505ms 04 158 35s926ms 227ms 05 176 30s461ms 173ms 06 184 1m17s 420ms 07 189 31s913ms 168ms 08 204 49s338ms 241ms 09 211 2m38s 749ms 10 214 21m58s 6s162ms 11 234 17m58s 4s611ms 12 225 13m27s 3s587ms 13 213 34s628ms 162ms 14 239 28s69ms 117ms 15 183 22s271ms 121ms 16 181 18s311ms 101ms 17 185 17s188ms 92ms 18 170 16s864ms 99ms 19 157 16s499ms 105ms 20 140 14s322ms 102ms 21 120 11s926ms 99ms 22 131 14s752ms 112ms 23 134 14s261ms 106ms [ User: postgres - Total duration: 1h7m14s - Times executed: 4361 ]
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '632' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '632' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '632' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '632' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '632' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '632' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-03-31 10:06:50 Duration: 1m10s Database: acaweb_fx User: postgres Bind query: yes
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-03-31 10:05:40 Duration: 52s862ms Database: acaweb_fx User: postgres Bind query: yes
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '619' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '619' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '619' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '619' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '619' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '619' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-03-31 10:06:55 Duration: 52s169ms Database: acaweb_fx User: postgres Bind query: yes
10 1h2m38s 18,423 50ms 20s79ms 204ms select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as relevant, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid left outer join relevance_keylevels_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.qtytp >= ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Mar 31 00 28 7s918ms 282ms 01 30 5s680ms 189ms 02 52 8s106ms 155ms 03 92 23s52ms 250ms 04 45 5s988ms 133ms 05 34 7s213ms 212ms 06 76 15s597ms 205ms 07 25 3s470ms 138ms 08 74 23s107ms 312ms 09 112 53s631ms 478ms 10 453 3m48s 504ms 11 537 3m32s 396ms 12 221 2m16s 618ms 14 487 57s422ms 117ms 15 2,012 6m59s 208ms 16 1,952 5m4s 155ms 17 1,942 4m35s 141ms 18 1,913 4m29s 140ms 19 1,812 6m23s 211ms 20 1,717 6m35s 230ms 21 1,646 5m44s 209ms 22 1,605 6m1s 225ms 23 1,558 3m35s 138ms [ User: postgres - Total duration: 1h2m38s - Times executed: 18423 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 689 AND sg.groupid = 515852059907130308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-351549593' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 22:18:13 Duration: 20s79ms Database: acaweb_fx User: postgres Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 125 AND sg.groupid = 2596 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '0' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 10:04:45 Duration: 10s793ms Database: acaweb_fx User: postgres Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 125 AND sg.groupid = 2596 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '0' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 10:04:45 Duration: 10s776ms Database: acaweb_fx User: postgres Bind query: yes
11 53m10s 1 53m10s 53m10s 53m10s select stats_populatestatssuccess_keylevels (( select coalesce(vgetbigint (?), ?)));Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 31 02 1 53m10s 53m10s [ User: postgres - Total duration: 53m10s - Times executed: 1 ]
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select stats_populatestatssuccess_keylevels (( select coalesce(vGetBigInt ('stats_latestresultuid_kl'), 0)));
Date: 2022-03-31 02:53:12 Duration: 53m10s Database: acaweb_fx User: postgres
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select stats_populatestatssuccess_keylevels (( select coalesce(vGetBigInt ('stats_latestresultuid_kl'), 0)));
Date: 2022-03-31 02:00:05 Duration: 0ms Database: acaweb_fx User: postgres
12 50m9s 743 334ms 1m42s 4s49ms 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 ), results as ( select distinct on (s.symbolid) ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, 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 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 (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 order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Mar 31 00 34 1m56s 3s420ms 01 20 1m36s 4s840ms 02 40 1m44s 2s608ms 03 12 35s787ms 2s982ms 04 36 1m20s 2s227ms 05 18 46s819ms 2s601ms 06 61 5m56s 5s848ms 07 18 1m10s 3s898ms 08 46 4m18s 5s614ms 09 20 2m20s 7s42ms 10 11 3m53s 21s264ms 11 8 1m43s 12s956ms 12 42 11m20s 16s212ms 13 58 2m20s 2s423ms 14 27 1m7s 2s481ms 15 41 1m4s 1s561ms 16 30 53s982ms 1s799ms 17 43 1m26s 2s9ms 18 48 1m13s 1s522ms 19 48 1m20s 1s676ms 20 22 33s939ms 1s542ms 21 44 1m2s 1s413ms 22 8 11s310ms 1s413ms 23 8 11s249ms 1s406ms [ User: postgres - Total duration: 50m9s - Times executed: 743 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, 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 = '529' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('31' = 0 OR coalesce(bim.code, s.symbol) in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'JPN225', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'XAGUSD', 'XAUUSD')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:35:53 Duration: 1m42s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, 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 = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:37:35 Duration: 1m24s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, 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 = '529' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('31' = 0 OR coalesce(bim.code, s.symbol) in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'JPN225', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'XAGUSD', 'XAUUSD')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 10:01:57 Duration: 1m23s Database: acaweb_fx User: postgres Bind query: yes
13 39m17s 3,969 50ms 13s264ms 593ms select * from ( select pricedatetime, open, high, low, close, volume, bsf from t15 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 31 00 132 14s464ms 109ms 01 98 8s729ms 89ms 02 275 38s418ms 139ms 03 294 1m36s 327ms 04 195 27s795ms 142ms 05 204 29s120ms 142ms 06 305 1m19s 260ms 07 201 28s166ms 140ms 08 250 48s536ms 194ms 09 279 1m15s 269ms 10 564 9m24s 1s 11 612 11m56s 1s170ms 12 475 10m 1s263ms 13 39 23s894ms 612ms 14 16 1s33ms 64ms 15 4 414ms 103ms 19 8 2s510ms 313ms 20 2 907ms 453ms 22 16 1s1ms 62ms [ User: postgres - Total duration: 39m17s - Times executed: 3969 ]
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '1002811' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:14 Duration: 13s264ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '986915' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:08:58 Duration: 12s189ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '1009866' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:22 Duration: 10s981ms Database: acaweb_fx User: postgres Bind query: yes
14 36m5s 2,788 50ms 11s866ms 776ms 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 #14
Day Hour Count Duration Avg duration Mar 31 00 127 30s292ms 238ms 01 107 15s577ms 145ms 02 127 31s446ms 247ms 03 179 1m13s 411ms 04 116 29s653ms 255ms 05 132 24s849ms 188ms 06 146 46s462ms 318ms 07 143 22s478ms 157ms 08 185 53s239ms 287ms 09 137 43s248ms 315ms 10 259 6m49s 1s580ms 11 248 8m55s 2s158ms 12 250 9m59s 2s396ms 13 278 3m29s 752ms 14 102 16s827ms 164ms 15 28 2s685ms 95ms 16 66 6s370ms 96ms 17 17 1s273ms 74ms 18 4 238ms 59ms 19 15 1s516ms 101ms 20 10 875ms 87ms 21 17 1s314ms 77ms 22 49 6s5ms 122ms 23 46 4s408ms 95ms [ User: postgres - Total duration: 36m5s - Times executed: 2788 ]
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T60 WHERE symbolid = '982602' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:00 Duration: 11s866ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T60 WHERE symbolid = '1035443' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 11:52:27 Duration: 10s563ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T60 WHERE symbolid = '1002918' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:06 Duration: 10s14ms Database: acaweb_fx User: postgres Bind query: yes
15 35m52s 560 50ms 1m42s 3s843ms select fixcandlegaps (?, false);Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 31 00 23 59s609ms 2s591ms 01 23 1m6s 2s903ms 02 23 50s180ms 2s181ms 03 24 1m10s 2s918ms 04 23 55s476ms 2s412ms 05 24 52s790ms 2s199ms 06 23 1m3s 2s755ms 07 23 1m2s 2s719ms 08 23 53s710ms 2s335ms 09 23 1m40s 4s353ms 10 25 5m15s 12s607ms 11 25 5m11s 12s455ms 12 24 9m39s 24s142ms 13 24 1m30s 3s771ms 14 23 26s264ms 1s141ms 15 23 22s619ms 983ms 16 23 18s543ms 806ms 17 23 19s930ms 866ms 18 23 21s712ms 944ms 19 23 20s575ms 894ms 20 23 19s689ms 856ms 21 23 21s464ms 933ms 22 23 20s319ms 883ms 23 23 30s144ms 1s310ms [ User: postgres - Total duration: 35m52s - Times executed: 560 ]
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select fixcandlegaps ('XM', false);
Date: 2022-03-31 12:10:48 Duration: 1m42s Database: acaweb_fx User: postgres
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select fixcandlegaps ('XM', false);
Date: 2022-03-31 11:09:31 Duration: 1m13s Database: acaweb_fx User: postgres
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select fixcandlegaps ('LEGACYFXMT5', false);
Date: 2022-03-31 12:08:13 Duration: 1m3s Database: acaweb_fx User: postgres
16 33m53s 2,877 55ms 3m5s 706ms 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 ), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Mar 31 00 134 59s143ms 441ms 01 135 56s12ms 414ms 02 135 57s912ms 428ms 03 132 40s733ms 308ms 04 133 39s25ms 293ms 05 134 48s594ms 362ms 06 133 59s619ms 448ms 07 136 1m5s 478ms 08 134 1m2s 464ms 09 127 1m27s 688ms 10 132 4m2s 1s836ms 11 126 6m27s 3s74ms 12 154 7m42s 3s2ms 13 66 20s284ms 307ms 14 95 40s325ms 424ms 15 98 38s792ms 395ms 16 106 28s786ms 271ms 17 109 29s697ms 272ms 18 111 51s884ms 467ms 19 108 20s612ms 190ms 20 110 39s177ms 356ms 21 110 30s114ms 273ms 22 109 27s552ms 252ms 23 110 38s687ms 351ms [ User: postgres - Total duration: 33m53s - Times executed: 2877 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:24:50 Duration: 3m5s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:02:23 Duration: 1m58s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:56:02 Duration: 52s257ms Database: acaweb_fx User: postgres Bind query: yes
17 33m29s 584 240ms 1m2s 3s441ms 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 ), results as ( select distinct on (s.symbolid) 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 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 (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 <= ?) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 31 00 25 1m36s 3s851ms 01 15 1m 4s63ms 02 30 1m56s 3s878ms 03 9 37s109ms 4s123ms 04 27 1m39s 3s695ms 05 15 1m8s 4s568ms 06 56 4m49s 5s173ms 07 15 48s883ms 3s258ms 08 40 2m34s 3s850ms 09 15 2m1s 8s95ms 10 11 2m46s 15s117ms 11 7 37s176ms 5s310ms 12 36 3m8s 5s248ms 13 46 2m9s 2s825ms 14 16 30s854ms 1s928ms 15 30 1m1s 2s59ms 16 21 34s530ms 1s644ms 17 36 1m6s 1s843ms 18 37 1m4s 1s740ms 19 36 53s411ms 1s483ms 20 16 21s323ms 1s332ms 21 33 45s343ms 1s374ms 22 6 8s100ms 1s350ms 23 6 8s238ms 1s373ms [ User: postgres - Total duration: 33m29s - Times executed: 584 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 10:05:03 Duration: 1m2s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '529' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('31' = 0 OR coalesce(bim.code, s.symbol) in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'JPN225', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'XAGUSD', 'XAUUSD')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 06:33:28 Duration: 34s664ms Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '529' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('31' = 0 OR coalesce(bim.code, s.symbol) in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'JPN225', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'XAGUSD', 'XAUUSD')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 10:02:30 Duration: 32s985ms Database: acaweb_fx User: postgres Bind query: yes
18 32m37s 2,625 50ms 15s498ms 745ms 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 #18
Day Hour Count Duration Avg duration Mar 31 00 125 29s152ms 233ms 01 126 21s520ms 170ms 02 131 41s186ms 314ms 03 153 1m39s 652ms 04 144 35s102ms 243ms 05 144 29s190ms 202ms 06 179 1m24s 470ms 07 148 30s339ms 204ms 08 182 1m1s 340ms 09 195 1m2s 321ms 10 199 5m6s 1s539ms 11 192 7m52s 2s461ms 12 202 10m6s 3s4ms 13 35 22s821ms 652ms 14 98 14s645ms 149ms 15 56 5s469ms 97ms 16 66 5s743ms 87ms 17 32 2s409ms 75ms 18 29 2s480ms 85ms 19 27 2s700ms 100ms 20 34 3s30ms 89ms 21 20 1s912ms 95ms 22 67 10s793ms 161ms 23 41 4s504ms 109ms [ User: postgres - Total duration: 32m37s - Times executed: 2625 ]
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T30 WHERE symbolid = '982376' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:08:56 Duration: 15s498ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T30 WHERE symbolid = '986746' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:40 Duration: 13s673ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T30 WHERE symbolid = '1010177' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:50 Duration: 13s343ms Database: acaweb_fx User: postgres Bind query: yes
19 30m6s 80 4s10ms 2m39s 22s576ms select updateageforrelevantresults ();Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 31 00 4 2m15s 33s913ms 01 4 2m31s 37s760ms 02 4 2m51s 42s812ms 03 4 4m45s 1m11s 04 4 2m25s 36s354ms 05 4 2m12s 33s185ms 06 4 2m55s 43s976ms 07 4 2m22s 35s596ms 08 4 2m12s 33s205ms 09 3 1m47s 35s758ms 13 1 10s656ms 10s656ms 14 4 53s205ms 13s301ms 15 4 17s929ms 4s482ms 16 4 17s339ms 4s334ms 17 4 17s968ms 4s492ms 18 4 17s85ms 4s271ms 19 4 16s701ms 4s175ms 20 4 17s 4s250ms 21 4 16s613ms 4s153ms 22 4 24s638ms 6s159ms 23 4 17s86ms 4s271ms [ User: postgres - Total duration: 30m6s - Times executed: 80 ]
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select updateageforrelevantresults ();
Date: 2022-03-31 03:04:42 Duration: 2m39s Database: acaweb_fx User: postgres
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select updateageforrelevantresults ();
Date: 2022-03-31 03:17:59 Duration: 56s951ms Database: acaweb_fx User: postgres
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select updateageforrelevantresults ();
Date: 2022-03-31 02:17:56 Duration: 54s311ms Database: acaweb_fx User: postgres
20 28m43s 96 419ms 4m39s 17s952ms select updaterelevantforrelevantresults ();Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 31 00 4 22s599ms 5s649ms 01 4 12s891ms 3s222ms 02 4 22s643ms 5s660ms 03 4 30s288ms 7s572ms 04 4 25s909ms 6s477ms 05 4 21s534ms 5s383ms 06 4 44s954ms 11s238ms 07 4 24s282ms 6s70ms 08 4 47s199ms 11s799ms 09 4 23s446ms 5s861ms 10 4 5m46s 1m26s 11 4 7m53s 1m58s 12 4 9m32s 2m23s 13 4 22s425ms 5s606ms 14 4 9s138ms 2s284ms 15 4 3s407ms 851ms 16 4 3s46ms 761ms 17 4 2s425ms 606ms 18 4 2s129ms 532ms 19 4 2s452ms 613ms 20 4 2s271ms 567ms 21 4 2s148ms 537ms 22 4 3s575ms 893ms 23 4 2s674ms 668ms [ User: postgres - Total duration: 28m43s - Times executed: 96 ]
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select updaterelevantforrelevantresults ();
Date: 2022-03-31 12:10:11 Duration: 4m39s Database: acaweb_fx User: postgres
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select updaterelevantforrelevantresults ();
Date: 2022-03-31 12:38:32 Duration: 3m Database: acaweb_fx User: postgres
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select updaterelevantforrelevantresults ();
Date: 2022-03-31 11:38:31 Duration: 2m59s Database: acaweb_fx User: postgres
Most frequent queries (N)
Rank Times executed Total duration Min duration Max duration Avg duration Query 1 18,423 1h2m38s 50ms 20s79ms 204ms select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as relevant, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid left outer join relevance_keylevels_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.qtytp >= ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 31 00 28 7s918ms 282ms 01 30 5s680ms 189ms 02 52 8s106ms 155ms 03 92 23s52ms 250ms 04 45 5s988ms 133ms 05 34 7s213ms 212ms 06 76 15s597ms 205ms 07 25 3s470ms 138ms 08 74 23s107ms 312ms 09 112 53s631ms 478ms 10 453 3m48s 504ms 11 537 3m32s 396ms 12 221 2m16s 618ms 14 487 57s422ms 117ms 15 2,012 6m59s 208ms 16 1,952 5m4s 155ms 17 1,942 4m35s 141ms 18 1,913 4m29s 140ms 19 1,812 6m23s 211ms 20 1,717 6m35s 230ms 21 1,646 5m44s 209ms 22 1,605 6m1s 225ms 23 1,558 3m35s 138ms [ User: postgres - Total duration: 1h2m38s - Times executed: 18423 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 689 AND sg.groupid = 515852059907130308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-351549593' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 22:18:13 Duration: 20s79ms Database: acaweb_fx User: postgres Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 125 AND sg.groupid = 2596 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '0' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 10:04:45 Duration: 10s793ms Database: acaweb_fx User: postgres Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 125 AND sg.groupid = 2596 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '0' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 10:04:45 Duration: 10s776ms Database: acaweb_fx User: postgres Bind query: yes
2 10,889 10h3m11s 1s265ms 3m21s 3s323ms with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ) select a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternstartprice, patternendprice, qtytp, newlevels.profit, newlevels.stop, newlevels.filtered, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from autochartist_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern inner join rar_max rm on ? = ? left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid left join lateral calc_cp_signal (a.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Mar 31 00 722 19m28s 1s618ms 01 734 20m11s 1s650ms 02 713 23m35s 1s985ms 03 641 22m12s 2s78ms 04 767 23m15s 1s819ms 05 791 25m47s 1s955ms 06 872 30m16s 2s83ms 07 850 24m2s 1s696ms 08 1,157 35m22s 1s834ms 09 1,438 1h6m32s 2s776ms 10 1,044 1h37m17s 5s591ms 11 608 1h54m20s 11s284ms 12 552 1h40m48s 10s957ms [ User: postgres - Total duration: 10h3m11s - Times executed: 10889 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ) SELECT a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, CASE WHEN a.old_resultuid = '582634128' THEN a.old_resultuid ELSE a.resultuid END AS uid, breakout, initialtrend, volumeincrease, symmetry AS uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternStartPrice, patternEndPrice, qtytp, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid LEFT JOIN LATERAL calc_cp_signal (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582634128' OR a.resultuid = '582634128') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:37:39 Duration: 3m21s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ) SELECT a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, CASE WHEN a.old_resultuid = '582635804' THEN a.old_resultuid ELSE a.resultuid END AS uid, breakout, initialtrend, volumeincrease, symmetry AS uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternStartPrice, patternEndPrice, qtytp, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid LEFT JOIN LATERAL calc_cp_signal (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582635804' OR a.resultuid = '582635804') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:37:39 Duration: 3m21s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ) SELECT a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, CASE WHEN a.old_resultuid = '582601664' THEN a.old_resultuid ELSE a.resultuid END AS uid, breakout, initialtrend, volumeincrease, symmetry AS uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternStartPrice, patternEndPrice, qtytp, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid LEFT JOIN LATERAL calc_cp_signal (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582601664' OR a.resultuid = '582601664') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:37:43 Duration: 3m20s Database: acaweb_fx User: postgres Bind query: yes
3 7,647 12m11s 50ms 10s388ms 95ms select distinct patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzos, dftt.timezone as tz, longname, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as relevant from symbols s inner join brokersymbollist b on s.symbolid = b.symbolid inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join autochartist_results a on a.symbolid = s.symbolid inner join patterns p on a.pattern = p.patternname left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and (((s.symbol ilike ? and timegranularity <= ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Mar 31 00 155 11s99ms 71ms 01 144 12s42ms 83ms 02 243 21s840ms 89ms 03 219 22s772ms 103ms 04 179 13s473ms 75ms 05 257 26s744ms 104ms 06 288 21s416ms 74ms 07 330 23s509ms 71ms 08 512 42s948ms 83ms 09 1,071 1m41s 94ms 10 813 1m16s 93ms 11 727 52s510ms 72ms 12 621 1m19s 127ms 13 435 44s472ms 102ms 14 441 1m7s 153ms 15 287 24s749ms 86ms 16 248 22s615ms 91ms 17 186 17s793ms 95ms 18 133 13s671ms 102ms 19 103 10s93ms 97ms 20 73 7s815ms 107ms 21 64 6s332ms 98ms 22 64 5s972ms 93ms 23 54 5s224ms 96ms [ User: postgres - Total duration: 12m11s - Times executed: 7647 ]
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 643 AND (((s.symbol ilike '%nzdchf%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 580934434 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 10:51:55 Duration: 10s388ms Database: acaweb_fx User: postgres Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((s.symbol ilike '%usd%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 0 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 14:24:44 Duration: 5s937ms Database: acaweb_fx User: postgres Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((s.symbol ilike '%usdchf%' AND timegranularity <= 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 581130358 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 03:01:16 Duration: 4s832ms Database: acaweb_fx User: postgres Bind query: yes
4 6,130 7h48m7s 976ms 2m45s 4s582ms with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ) select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as ruid, s.symbolid as sid, s.symbol as sym, longname, shortname, exchange as e, timegranularity as tg, a.patternid as pid, a.direction as d, a.patternprice as pp, atbaridentified as pet, case when (x9 != ?) then x9 when (x8 != ?) then x8 when (x7 != ?) then x7 when (x6 != ?) then x6 when (x5 != ?) then x5 when (x4 != ?) then x4 when (x3 != ?) then x3 when (x2 != ?) then x2 end as pst, patternprice as patp, x0, x1, x2, case when (x3 != ?) then x3 else ? end as x3, case when (x4 != ?) then x4 else ? end as x4, case when (x5 != ?) then x5 else ? end as x5, case when (x6 != ?) then x6 else ? end as x6, case when (x7 != ?) then x7 else ? end as x7, case when (x8 != ?) then x8 else ? end as x8, errormargin as erm, breakoutprice as pe, breakoutbars as be, breakout, atbaridentified as atbar, atpriceidentified as atprice, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzos, dtt.timezone as timezone, approachingtimestamp as apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, furthestprice as fp, newlevels.filtered, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from keylevels_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join hrspatterns p on a.patternid = p.patternid inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on a.resultuid = rar.resultuid left join lateral calc_kl_signal_filter (a.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Mar 31 00 309 7m50s 1s521ms 01 268 7m4s 1s583ms 02 206 7m21s 2s143ms 03 317 9m20s 1s769ms 04 430 10m46s 1s504ms 05 449 12m6s 1s618ms 06 549 22m6s 2s416ms 07 612 15m33s 1s524ms 08 642 18m30s 1s729ms 09 739 39m37s 3s217ms 10 656 1h16m41s 7s15ms 11 531 2h8m23s 14s506ms 12 422 1h52m44s 16s30ms [ User: postgres - Total duration: 7h48m7s - Times executed: 6130 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '82438976' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice AS pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '0' END AS x3, CASE WHEN (x4 != '') THEN x4 ELSE '0' END AS x4, CASE WHEN (x5 != '') THEN x5 ELSE '0' END AS x5, CASE WHEN (x6 != '') THEN x6 ELSE '0' END AS x6, CASE WHEN (x7 != '') THEN x7 ELSE '0' END AS x7, CASE WHEN (x8 != '') THEN x8 ELSE '0' END AS x8, errorMargin AS erm, breakoutprice AS pE, breakoutbars AS be, breakout, atbaridentified AS atBar, atpriceidentified AS atPrice, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname AS patternname, dtt.absolutetimezoneoffset AS tzOs, dtt.timezone AS timezone, approachingtimestamp AS apt, approachingregion AS apr, predictionpricefrom AS ppf, predictionpriceto AS ppt, predictiontimefrom AS ptf, predictiontimebars AS ptb, furthestprice AS fp, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM keylevels_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON a.resultuid = rar.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '82438976' OR a.resultuid = '82438976') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:24:25 Duration: 2m45s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '82460728' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice AS pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '0' END AS x3, CASE WHEN (x4 != '') THEN x4 ELSE '0' END AS x4, CASE WHEN (x5 != '') THEN x5 ELSE '0' END AS x5, CASE WHEN (x6 != '') THEN x6 ELSE '0' END AS x6, CASE WHEN (x7 != '') THEN x7 ELSE '0' END AS x7, CASE WHEN (x8 != '') THEN x8 ELSE '0' END AS x8, errorMargin AS erm, breakoutprice AS pE, breakoutbars AS be, breakout, atbaridentified AS atBar, atpriceidentified AS atPrice, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname AS patternname, dtt.absolutetimezoneoffset AS tzOs, dtt.timezone AS timezone, approachingtimestamp AS apt, approachingregion AS apr, predictionpricefrom AS ppf, predictionpriceto AS ppt, predictiontimefrom AS ptf, predictiontimebars AS ptb, furthestprice AS fp, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM keylevels_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON a.resultuid = rar.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '82460728' OR a.resultuid = '82460728') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:24:25 Duration: 2m44s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '82460722' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice AS pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '0' END AS x3, CASE WHEN (x4 != '') THEN x4 ELSE '0' END AS x4, CASE WHEN (x5 != '') THEN x5 ELSE '0' END AS x5, CASE WHEN (x6 != '') THEN x6 ELSE '0' END AS x6, CASE WHEN (x7 != '') THEN x7 ELSE '0' END AS x7, CASE WHEN (x8 != '') THEN x8 ELSE '0' END AS x8, errorMargin AS erm, breakoutprice AS pE, breakoutbars AS be, breakout, atbaridentified AS atBar, atpriceidentified AS atPrice, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname AS patternname, dtt.absolutetimezoneoffset AS tzOs, dtt.timezone AS timezone, approachingtimestamp AS apt, approachingregion AS apr, predictionpricefrom AS ppf, predictionpriceto AS ppt, predictiontimefrom AS ptf, predictiontimebars AS ptb, furthestprice AS fp, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM keylevels_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON a.resultuid = rar.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '82460722' OR a.resultuid = '82460722') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:24:25 Duration: 2m44s Database: acaweb_fx User: postgres Bind query: yes
5 4,661 8m40s 50ms 814ms 111ms select * from powerstatslatestprfprice (?, ?);Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Mar 31 00 5 443ms 88ms 02 12 819ms 68ms 03 36 2s535ms 70ms 04 1 76ms 76ms 05 4 253ms 63ms 06 15 1s285ms 85ms 07 1 71ms 71ms 08 15 998ms 66ms 09 295 31s144ms 105ms 10 949 1m31s 96ms 11 1,821 3m18s 109ms 12 1,464 3m9s 129ms 13 37 2s752ms 74ms 14 2 115ms 57ms 16 3 158ms 52ms 18 1 50ms 50ms [ User: postgres - Total duration: 8m40s - Times executed: 4661 ]
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select * from PowerStatsLatestPRFPrice ('1009856', '15');
Date: 2022-03-31 10:05:45 Duration: 814ms Database: acaweb_fx User: postgres Bind query: yes
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select * from PowerStatsLatestPRFPrice ('954151', '15');
Date: 2022-03-31 11:37:04 Duration: 710ms Database: acaweb_fx User: postgres Bind query: yes
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select * from PowerStatsLatestPRFPrice ('962236', '15');
Date: 2022-03-31 12:05:14 Duration: 686ms Database: acaweb_fx User: postgres Bind query: yes
6 4,361 1h7m14s 50ms 1m10s 925ms (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?))) union all (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ?))) union all (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)));Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Mar 31 00 186 36s791ms 197ms 01 175 52s970ms 302ms 02 180 59s898ms 332ms 03 172 1m26s 505ms 04 158 35s926ms 227ms 05 176 30s461ms 173ms 06 184 1m17s 420ms 07 189 31s913ms 168ms 08 204 49s338ms 241ms 09 211 2m38s 749ms 10 214 21m58s 6s162ms 11 234 17m58s 4s611ms 12 225 13m27s 3s587ms 13 213 34s628ms 162ms 14 239 28s69ms 117ms 15 183 22s271ms 121ms 16 181 18s311ms 101ms 17 185 17s188ms 92ms 18 170 16s864ms 99ms 19 157 16s499ms 105ms 20 140 14s322ms 102ms 21 120 11s926ms 99ms 22 131 14s752ms 112ms 23 134 14s261ms 106ms [ User: postgres - Total duration: 1h7m14s - Times executed: 4361 ]
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '632' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '632' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '632' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '632' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '632' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '632' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-03-31 10:06:50 Duration: 1m10s Database: acaweb_fx User: postgres Bind query: yes
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-03-31 10:05:40 Duration: 52s862ms Database: acaweb_fx User: postgres Bind query: yes
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '619' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '619' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '619' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '619' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '619' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '619' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-03-31 10:06:55 Duration: 52s169ms Database: acaweb_fx User: postgres Bind query: yes
7 4,075 5h9m48s 50ms 8m40s 4s561ms 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 ), results as ( select distinct on (s.symbolid) ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? 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 currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true where ar.gmttimefound > now() - interval ? and dss.enabled = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or 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 order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Mar 31 00 187 9m9s 2s938ms 01 186 7m52s 2s538ms 02 191 9m14s 2s900ms 03 189 10m13s 3s243ms 04 187 7m32s 2s422ms 05 187 7m7s 2s283ms 06 190 10m24s 3s287ms 07 190 8m19s 2s628ms 08 190 8m3s 2s544ms 09 185 15m43s 5s101ms 10 183 37m33s 12s316ms 11 183 56m55s 18s664ms 12 207 45m58s 13s323ms 13 100 4m9s 2s498ms 14 132 5m52s 2s671ms 15 144 7m3s 2s942ms 16 153 7m21s 2s883ms 17 156 7m15s 2s791ms 18 155 7m8s 2s765ms 19 156 7m18s 2s810ms 20 156 7m24s 2s849ms 21 156 7m17s 2s802ms 22 156 7m25s 2s857ms 23 156 7m23s 2s845ms [ User: postgres - Total duration: 5h9m48s - Times executed: 4075 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 10:09:11 Duration: 8m40s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:10:33 Duration: 8m40s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:29:55 Duration: 4m25s Database: acaweb_fx User: postgres Bind query: yes
8 3,969 39m17s 50ms 13s264ms 593ms select * from ( select pricedatetime, open, high, low, close, volume, bsf from t15 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Mar 31 00 132 14s464ms 109ms 01 98 8s729ms 89ms 02 275 38s418ms 139ms 03 294 1m36s 327ms 04 195 27s795ms 142ms 05 204 29s120ms 142ms 06 305 1m19s 260ms 07 201 28s166ms 140ms 08 250 48s536ms 194ms 09 279 1m15s 269ms 10 564 9m24s 1s 11 612 11m56s 1s170ms 12 475 10m 1s263ms 13 39 23s894ms 612ms 14 16 1s33ms 64ms 15 4 414ms 103ms 19 8 2s510ms 313ms 20 2 907ms 453ms 22 16 1s1ms 62ms [ User: postgres - Total duration: 39m17s - Times executed: 3969 ]
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '1002811' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:14 Duration: 13s264ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '986915' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:08:58 Duration: 12s189ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '1009866' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:22 Duration: 10s981ms Database: acaweb_fx User: postgres Bind query: yes
9 3,851 8m57s 50ms 2s865ms 139ms select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.qtytp >= ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by patternendtime desc, qtp desc limit ?;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 31 00 9 1s52ms 116ms 02 8 788ms 98ms 03 29 9s377ms 323ms 04 22 4s157ms 188ms 05 18 3s660ms 203ms 06 20 1s876ms 93ms 07 1 89ms 89ms 08 43 17s543ms 407ms 09 8 539ms 67ms 10 49 22s855ms 466ms 11 49 24s484ms 499ms 12 23 6s770ms 294ms 14 192 19s832ms 103ms 15 786 2m16s 173ms 16 622 1m3s 101ms 17 549 47s39ms 85ms 18 367 27s405ms 74ms 19 338 1m8s 203ms 20 261 40s988ms 157ms 21 145 11s 75ms 22 201 22s39ms 109ms 23 111 7s971ms 71ms [ User: postgres - Total duration: 8m57s - Times executed: 3851 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 538 AND sg.groupid = 3415 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '0' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 08:20:41 Duration: 2s865ms Database: acaweb_fx User: postgres Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 529 AND sg.groupid = 5603 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '82409351' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 10:07:11 Duration: 2s720ms Database: acaweb_fx User: postgres Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid WHERE b.brokerid = 689 AND sg.groupid = 515852059907130308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '0' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 15:06:17 Duration: 2s57ms Database: acaweb_fx User: postgres Bind query: yes
10 2,877 33m53s 55ms 3m5s 706ms 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 ), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Mar 31 00 134 59s143ms 441ms 01 135 56s12ms 414ms 02 135 57s912ms 428ms 03 132 40s733ms 308ms 04 133 39s25ms 293ms 05 134 48s594ms 362ms 06 133 59s619ms 448ms 07 136 1m5s 478ms 08 134 1m2s 464ms 09 127 1m27s 688ms 10 132 4m2s 1s836ms 11 126 6m27s 3s74ms 12 154 7m42s 3s2ms 13 66 20s284ms 307ms 14 95 40s325ms 424ms 15 98 38s792ms 395ms 16 106 28s786ms 271ms 17 109 29s697ms 272ms 18 111 51s884ms 467ms 19 108 20s612ms 190ms 20 110 39s177ms 356ms 21 110 30s114ms 273ms 22 109 27s552ms 252ms 23 110 38s687ms 351ms [ User: postgres - Total duration: 33m53s - Times executed: 2877 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:24:50 Duration: 3m5s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:02:23 Duration: 1m58s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:56:02 Duration: 52s257ms Database: acaweb_fx User: postgres Bind query: yes
11 2,847 5h29m8s 50ms 3m3s 6s936ms with rar_max as ( ;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 31 00 144 15m33s 6s485ms 01 129 12m34s 5s845ms 02 139 15m39s 6s755ms 03 117 13m2s 6s688ms 04 131 14m4s 6s444ms 05 126 12m29s 5s948ms 06 129 13m56s 6s486ms 07 119 11m58s 6s37ms 08 123 12m13s 5s962ms 09 118 17m28s 8s883ms 10 91 16m41s 11s7ms 11 87 12m58s 8s948ms 12 105 22m21s 12s780ms 13 98 12m48s 7s844ms 14 101 11m47s 7s1ms 15 121 12m59s 6s443ms 16 121 12m13s 6s63ms 17 116 11m44s 6s77ms 18 121 12m25s 6s164ms 19 143 15m5s 6s333ms 20 127 12m30s 5s908ms 21 126 14m11s 6s759ms 22 101 10m32s 6s264ms 23 114 11m45s 6s192ms [ User: postgres - Total duration: 5h29m8s - Times executed: 2847 ]
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WITH rar_max as ( ;
Date: 2022-03-31 12:24:49 Duration: 3m3s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( ;
Date: 2022-03-31 12:07:38 Duration: 2m6s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( ;
Date: 2022-03-31 10:58:15 Duration: 1m49s Database: acaweb_fx User: postgres Bind query: yes
12 2,788 36m5s 50ms 11s866ms 776ms 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 #12
Day Hour Count Duration Avg duration Mar 31 00 127 30s292ms 238ms 01 107 15s577ms 145ms 02 127 31s446ms 247ms 03 179 1m13s 411ms 04 116 29s653ms 255ms 05 132 24s849ms 188ms 06 146 46s462ms 318ms 07 143 22s478ms 157ms 08 185 53s239ms 287ms 09 137 43s248ms 315ms 10 259 6m49s 1s580ms 11 248 8m55s 2s158ms 12 250 9m59s 2s396ms 13 278 3m29s 752ms 14 102 16s827ms 164ms 15 28 2s685ms 95ms 16 66 6s370ms 96ms 17 17 1s273ms 74ms 18 4 238ms 59ms 19 15 1s516ms 101ms 20 10 875ms 87ms 21 17 1s314ms 77ms 22 49 6s5ms 122ms 23 46 4s408ms 95ms [ User: postgres - Total duration: 36m5s - Times executed: 2788 ]
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T60 WHERE symbolid = '982602' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:00 Duration: 11s866ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T60 WHERE symbolid = '1035443' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 11:52:27 Duration: 10s563ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T60 WHERE symbolid = '1002918' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:06 Duration: 10s14ms Database: acaweb_fx User: postgres Bind query: yes
13 2,625 32m37s 50ms 15s498ms 745ms 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 #13
Day Hour Count Duration Avg duration Mar 31 00 125 29s152ms 233ms 01 126 21s520ms 170ms 02 131 41s186ms 314ms 03 153 1m39s 652ms 04 144 35s102ms 243ms 05 144 29s190ms 202ms 06 179 1m24s 470ms 07 148 30s339ms 204ms 08 182 1m1s 340ms 09 195 1m2s 321ms 10 199 5m6s 1s539ms 11 192 7m52s 2s461ms 12 202 10m6s 3s4ms 13 35 22s821ms 652ms 14 98 14s645ms 149ms 15 56 5s469ms 97ms 16 66 5s743ms 87ms 17 32 2s409ms 75ms 18 29 2s480ms 85ms 19 27 2s700ms 100ms 20 34 3s30ms 89ms 21 20 1s912ms 95ms 22 67 10s793ms 161ms 23 41 4s504ms 109ms [ User: postgres - Total duration: 32m37s - Times executed: 2625 ]
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T30 WHERE symbolid = '982376' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:08:56 Duration: 15s498ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T30 WHERE symbolid = '986746' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:40 Duration: 13s673ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T30 WHERE symbolid = '1010177' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:50 Duration: 13s343ms Database: acaweb_fx User: postgres Bind query: yes
14 2,323 28m40s 399ms 51s179ms 740ms select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as resultuid, s.symbol, pattern as patternname, timegranularity as interval, patternlengthbars as length, patternendtime, direction, breakout, predictiontimeto, predictionpricefrom, predictionpriceto, patternstartprice, resy1, supporty1, dtt.timezone, cps.pip from autochartist_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 31 00 245 2m20s 573ms 01 173 1m31s 530ms 02 137 1m27s 640ms 03 137 2m8s 936ms 04 265 2m33s 581ms 05 171 1m38s 576ms 06 146 2m16s 934ms 07 188 2m9s 688ms 08 278 3m33s 767ms 09 497 5m4s 613ms 10 49 1m58s 2s422ms 11 37 1m57s 3s166ms [ User: postgres - Total duration: 28m40s - Times executed: 2323 ]
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SELECT CASE WHEN a.old_resultuid = '582381533' THEN a.old_resultuid ELSE a.resultuid END as resultuid, s.symbol, pattern as patternname, timegranularity as interval, patternlengthbars AS length, patternendtime, direction, breakout, predictiontimeto, predictionpricefrom, predictionpriceto, patternStartPrice, resy1, supporty1, dtt.timezone, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582381533' OR a.resultuid = '582381533') AND dtt.dayofweek = 3;
Date: 2022-03-31 10:24:13 Duration: 51s179ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT CASE WHEN a.old_resultuid = '582486135' THEN a.old_resultuid ELSE a.resultuid END as resultuid, s.symbol, pattern as patternname, timegranularity as interval, patternlengthbars AS length, patternendtime, direction, breakout, predictiontimeto, predictionpricefrom, predictionpriceto, patternStartPrice, resy1, supporty1, dtt.timezone, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582486135' OR a.resultuid = '582486135') AND dtt.dayofweek = 3;
Date: 2022-03-31 03:03:20 Duration: 33s719ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT CASE WHEN a.old_resultuid = '582556693' THEN a.old_resultuid ELSE a.resultuid END as resultuid, s.symbol, pattern as patternname, timegranularity as interval, patternlengthbars AS length, patternendtime, direction, breakout, predictiontimeto, predictionpricefrom, predictionpriceto, patternStartPrice, resy1, supporty1, dtt.timezone, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582556693' OR a.resultuid = '582556693') AND dtt.dayofweek = 3;
Date: 2022-03-31 11:49:20 Duration: 32s721ms Database: acaweb_fx User: postgres Bind query: yes
15 2,231 8m4s 62ms 25s791ms 217ms with rar_max as ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ? ) select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as ruid, s.symbolid as sid, s.symbol as sym, 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, ? - errormargin as rq, ? - 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, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from 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 inner join rar_max rm on ? = ? left outer join relevance_fibonacci_results rar on a.resultuid = rar.resultuid left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 31 00 146 15s510ms 106ms 01 62 7s79ms 114ms 02 137 13s928ms 101ms 03 169 24s323ms 143ms 04 163 15s724ms 96ms 05 147 23s49ms 156ms 06 168 20s894ms 124ms 07 208 22s399ms 107ms 08 258 25s120ms 97ms 09 360 49s652ms 137ms 10 195 2m26s 753ms 11 119 1m19s 669ms 12 99 40s385ms 407ms [ User: postgres - Total duration: 8m4s - Times executed: 2231 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '73796594' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.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, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, 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 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_fibonacci_results rar ON a.resultuid = rar.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '73796594' OR a.resultuid = '73796594') AND dtt.dayofweek = 3;
Date: 2022-03-31 10:02:13 Duration: 25s791ms Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '73796019' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.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, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, 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 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_fibonacci_results rar ON a.resultuid = rar.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '73796019' OR a.resultuid = '73796019') AND dtt.dayofweek = 3;
Date: 2022-03-31 10:02:13 Duration: 25s608ms Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '73798154' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.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, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, 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 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_fibonacci_results rar ON a.resultuid = rar.resultuid LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '73798154' OR a.resultuid = '73798154') AND dtt.dayofweek = 3;
Date: 2022-03-31 10:02:13 Duration: 25s573ms Database: acaweb_fx User: postgres Bind query: yes
16 2,191 15m45s 50ms 1m6s 431ms select distinct patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzos, dftt.timezone as tz, longname, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?) then ? else ? end as relevant from symbols s inner join brokersymbollist b on s.symbolid = b.symbolid inner join downloadersymbolsettings dss on dss.symbolid = s.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join autochartist_results a on a.symbolid = s.symbolid inner join patterns p on a.pattern = p.patternname left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and (((s.symbol ilike ? and timegranularity = ?))) and breakout >= ?.? and patternendtime = latestbaratbreakouttime and patternlengthbars >= ? and patternquality >= ?.? and initialtrend >= ?.? and symmetry >= ?.? and noise <= ?.? and volumeincrease >= ?.? and temporarypattern = ? and patternid & ? > ? and s.nonliquid = ? and s.deleted = ? and dss.enabled = ? and a.resultuid > ? and s.nonliquid = ? and dftt.dayofweek = ? order by relevant desc, age asc, patternendtime desc, patternquality desc limit ?;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Mar 31 00 18 1s292ms 71ms 01 14 1s262ms 90ms 02 34 2s870ms 84ms 03 29 1s900ms 65ms 04 53 8s877ms 167ms 05 80 10s10ms 125ms 06 62 10s527ms 169ms 07 102 10s173ms 99ms 08 140 16s355ms 116ms 09 199 33s216ms 166ms 10 199 3m54s 1s179ms 11 180 5m14s 1s745ms 12 195 3m19s 1s22ms 13 250 26s843ms 107ms 14 201 24s250ms 120ms 15 161 16s806ms 104ms 16 93 10s345ms 111ms 17 73 8s757ms 119ms 18 52 8s497ms 163ms 19 21 2s976ms 141ms 20 2 128ms 64ms 21 13 733ms 56ms 22 16 1s9ms 63ms 23 4 222ms 55ms [ User: postgres - Total duration: 15m45s - Times executed: 2191 ]
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 495 AND (((s.symbol ilike '%eurusd%' AND timegranularity = 60))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 578561648 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 10:52:51 Duration: 1m6s Database: acaweb_fx User: postgres Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 538 AND (((s.symbol ilike '%usdcad%' AND timegranularity = 1440))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 575819526 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 12:09:40 Duration: 57s726ms Database: acaweb_fx User: postgres Bind query: yes
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((s.symbol ilike '%eurusd%' AND timegranularity = 60))) AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 578559091 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 12:42:01 Duration: 48s395ms Database: acaweb_fx User: postgres Bind query: yes
17 2,172 19m32s 50ms 1s682ms 539ms select distinct on (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname from brokergroups bg inner join symbolgroup sg on bg.groupid = sg.groupid inner join symbols s on sg.symbolid = s.symbolid inner join brokersymbollist bsl on s.symbolid = bsl.symbolid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join groups g on bg.groupid = g.groupid left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where bsl.brokerid = ? and bg.brokerid = ? and dss.enabled = ? and s.nonliquid = ? and s.deleted = ? order by basegroupname, symbol;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 31 00 12 5s763ms 480ms 01 18 7s334ms 407ms 02 17 8s543ms 502ms 03 9 4s459ms 495ms 04 15 6s941ms 462ms 05 27 9s754ms 361ms 06 29 9s45ms 311ms 07 21 8s485ms 404ms 08 25 10s667ms 426ms 09 68 29s186ms 429ms 10 73 33s825ms 463ms 11 77 38s925ms 505ms 12 73 37s869ms 518ms 13 504 4m17s 510ms 14 359 3m37s 604ms 15 357 3m26s 577ms 16 242 2m19s 575ms 17 123 1m12s 585ms 18 27 15s944ms 590ms 19 18 10s146ms 563ms 20 19 11s155ms 587ms 21 17 9s347ms 549ms 22 14 8s167ms 583ms 23 28 15s601ms 557ms [ User: postgres - Total duration: 19m32s - Times executed: 2172 ]
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '758' AND bg.brokerid = '758' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2022-03-31 09:41:38 Duration: 1s682ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '758' AND bg.brokerid = '758' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2022-03-31 11:21:02 Duration: 1s390ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT DISTINCT ON (basegroupname, symbol) g.groupid, exchange, basegroupname as groupname, coalesce(bim.code, s.symbol) as symbol, longname FROM brokergroups bg INNER JOIN symbolgroup sg ON bg.groupid = sg.groupid INNER JOIN symbols s ON sg.symbolid = s.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN groups g ON bg.groupid = g.groupid LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE bsl.brokerid = '758' AND bg.brokerid = '758' AND dss.enabled = 1 AND s.nonliquid = 0 AND s.deleted = 0 ORDER BY basegroupname, symbol;
Date: 2022-03-31 09:15:30 Duration: 1s228ms Database: acaweb_fx User: postgres Bind query: yes
18 1,826 3h28m55s 413ms 2m27s 6s865ms 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 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 (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 ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid, identified desc, length desc ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 31 00 79 8m37s 6s545ms 01 82 8m40s 6s342ms 02 76 8m31s 6s734ms 03 63 8m 7s625ms 04 74 7m57s 6s454ms 05 90 10m17s 6s864ms 06 88 10m46s 7s343ms 07 85 9m1s 6s367ms 08 74 8m40s 7s36ms 09 63 9m41s 9s233ms 10 52 13m6s 15s119ms 11 42 15m22s 21s969ms 12 49 19m22s 23s728ms 13 151 9m16s 3s687ms 14 77 6m29s 5s52ms 15 86 7m9s 4s997ms 16 74 6m3s 4s908ms 17 60 5m1s 5s24ms 18 70 5m33s 4s762ms 19 90 7m7s 4s748ms 20 89 6m54s 4s657ms 21 74 5m46s 4s688ms 22 58 5m 5s179ms 23 80 6m26s 4s828ms [ User: postgres - Total duration: 3h28m55s - Times executed: 1826 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), 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 = '660' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:37:09 Duration: 2m27s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), 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 = '758' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:30:42 Duration: 1m34s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), 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 = '660' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:23:48 Duration: 1m29s Database: acaweb_fx User: postgres Bind query: yes
19 1,760 6m39s 50ms 7s760ms 226ms select distinct a.resultuid as ruid, c.symbolid as sid, c.symbol as sym, c.longname as longname, c.shortname, c.exchange as e, c.timegranularity as tg, p.patternid as pid, a.direction as d, cast(atbaridentified as timestamp) as pet, cast(patternstarttime as timestamp) as pst, patternprice as patp, breakoutprice as pe, breakoutbars as be, errormargin as erm, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, cast(x0 as timestamp) as x0, cast(x1 as timestamp) as x1, cast(x2 as timestamp) as x2, cast(( case when x3 = ? then ? else x3 end) as timestamp) as x3, cast(( case when x4 = ? then ? else x4 end) as timestamp) as x4, cast(( case when x5 = ? then ? else x5 end) as timestamp) as x5, cast(( case when x6 = ? then ? else x6 end) as timestamp) as x6, cast(( case when x7 = ? then ? else x7 end) as timestamp) as x7, cast(( case when x8 = ? then ? else x8 end) as timestamp) as x8, cast(( case when x9 = ? then ? else x9 end) as timestamp) as x9, cast(atbaridentified as timestamp) as patternendtime, cast(atbaridentified as timestamp) as atbar, cast(( case when approachingtimestamp = ? then ? else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzos, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, case when rar.age is not null then rar.age when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?) then ? else ? end as relevant, cast(?.? as double precision) as premium, cast(? as bigint) as instrumentid, ? as derivativeid, ? as underlyingid, ? as isunderlying from symbols c inner join brokersymbollist b on c.symbolid = b.symbolid inner join symbolgroup sg on c.symbolid = sg.symbolid inner join downloadersymbolsettings dss on dss.symbolid = c.symbolid inner join datafeedstimetable dftt on dftt.classname = dss.classname inner join keylevels_results a on a.symbolid = c.symbolid inner join hrspatterns p on a.patternid = p.patternid left outer join relevance_keylevels_results rar on rar.resultuid = a.resultuid where b.brokerid = ? and sg.groupid = ? and patternclassid = ? and patternlengthbars >= ? and a.patternid & ? > ? and dftt.dayofweek = ? and a.resultuid > ? and c.nonliquid = ? and c.deleted = ? and dss.enabled = ? order by relevant desc, age asc, patternendtime desc, qtp desc limit ?;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 31 00 12 1s576ms 131ms 01 24 2s741ms 114ms 02 19 2s685ms 141ms 03 25 8s799ms 351ms 04 21 2s419ms 115ms 05 20 3s406ms 170ms 06 24 10s518ms 438ms 07 19 2s851ms 150ms 08 23 2s659ms 115ms 09 42 16s205ms 385ms 10 248 1m8s 277ms 11 325 2m17s 423ms 12 120 1m4s 538ms 13 11 1s7ms 91ms 14 55 8s422ms 153ms 15 63 7s522ms 119ms 16 82 6s519ms 79ms 17 162 13s477ms 83ms 18 185 14s168ms 76ms 19 83 6s155ms 74ms 20 84 6s705ms 79ms 21 75 5s945ms 79ms 22 23 3s676ms 159ms 23 15 989ms 65ms [ User: postgres - Total duration: 6m39s - Times executed: 1760 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 49 AND sg.groupid = 3854 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '65535' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '0' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 12:38:04 Duration: 7s760ms Database: acaweb_fx User: postgres Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 49 AND sg.groupid = 3854 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '65535' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '0' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 12:38:04 Duration: 7s729ms Database: acaweb_fx User: postgres Bind query: yes
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 643 AND sg.groupid = 4732 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '3' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '0' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 06:33:08 Duration: 7s456ms Database: acaweb_fx User: postgres Bind query: yes
20 1,732 8m32s 51ms 1s475ms 295ms with rar_max as ( select resultuid from relevance_bigmovement_results order by resultuid desc limit ? ), all_results as ( select bmr.resultuid as resultuid, ? 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, bmr.patternendtime as identified, bmr.patternlengthbars, dtt.timezone as timezone, g.basegroupname, case when rbr.age is not null then rbr.age when bmr.resultuid <= rm.resultuid then ? else ? end as age, case when rbr.relevant is not null then rbr.relevant when bmr.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from bigmovement_results bmr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = bmr.symbolid inner join symbols s on bmr.symbolid = s.symbolid and s.nonliquid = ? inner join downloadersymbolsettings dss on bmr.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join symbolgroup sg on bmr.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join rar_max rm on ? = ? left outer join relevance_bigmovement_results rbr on rbr.resultuid = bmr.resultuid left join currencypips cps on cps.symbol = s.symbol left outer join brokerinstrumentmap bim on dss.datafeedinstrumentid = bim.datafeedinstrumentid and bim.brokerid = bsl.brokerid and bim.type = ? where bmr.gmttimefound > now() - interval ? and (bmr.simulation = ? or bmr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or coalesce(bim.code, s.symbol) in (...)) and (? = ? or bmr.patternlengthbars <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid, identified desc, patternlengthbars desc ) select * from results order by identified desc, interval desc;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 31 00 79 15s520ms 196ms 01 83 15s734ms 189ms 02 76 14s888ms 195ms 03 63 12s183ms 193ms 04 74 14s500ms 195ms 05 83 16s136ms 194ms 06 78 16s728ms 214ms 07 75 15s592ms 207ms 08 64 13s337ms 208ms 09 64 19s262ms 300ms 10 51 14s531ms 284ms 11 43 14s981ms 348ms 12 47 16s760ms 356ms 13 108 21s816ms 202ms 14 75 23s145ms 308ms 15 77 26s710ms 346ms 16 72 27s321ms 379ms 17 60 27s532ms 458ms 18 70 27s790ms 397ms 19 90 37s141ms 412ms 20 89 37s822ms 424ms 21 73 29s795ms 408ms 22 59 24s225ms 410ms 23 79 28s810ms 364ms [ User: postgres - Total duration: 8m32s - Times executed: 1732 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_bigmovement_results ORDER BY resultuid DESC LIMIT 1 ), all_results AS ( SELECT bmr.resultuid AS resultuid, 0 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, bmr.patternendtime AS identified, bmr.patternlengthbars, dtt.timezone AS timezone, g.basegroupname, CASE WHEN rbr.age IS NOT NULL THEN rbr.age WHEN bmr.resultuid <= rm.resultuid THEN 4 ELSE 0 END as age, CASE WHEN rbr.relevant IS NOT NULL THEN rbr.relevant WHEN bmr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM bigmovement_results bmr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '758' AND bsl.symbolid = bmr.symbolid INNER JOIN symbols s ON bmr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON bmr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on bmr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_bigmovement_results rbr ON rbr.resultuid = bmr.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' WHERE bmr.gmttimefound > now() - INTERVAL '7 DAYS' AND (bmr.simulation = 0 OR bmr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('400' = 0 OR bmr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, patternlengthbars DESC ) SELECT * from results ORDER BY identified DESC, interval DESC;
Date: 2022-03-31 12:30:48 Duration: 1s475ms Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_bigmovement_results ORDER BY resultuid DESC LIMIT 1 ), all_results AS ( SELECT bmr.resultuid AS resultuid, 0 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, bmr.patternendtime AS identified, bmr.patternlengthbars, dtt.timezone AS timezone, g.basegroupname, CASE WHEN rbr.age IS NOT NULL THEN rbr.age WHEN bmr.resultuid <= rm.resultuid THEN 4 ELSE 0 END as age, CASE WHEN rbr.relevant IS NOT NULL THEN rbr.relevant WHEN bmr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM bigmovement_results bmr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '758' AND bsl.symbolid = bmr.symbolid INNER JOIN symbols s ON bmr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON bmr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on bmr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_bigmovement_results rbr ON rbr.resultuid = bmr.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' WHERE bmr.gmttimefound > now() - INTERVAL '7 DAYS' AND (bmr.simulation = 0 OR bmr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('400' = 0 OR bmr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, patternlengthbars DESC ) SELECT * from results ORDER BY identified DESC, interval DESC;
Date: 2022-03-31 09:40:53 Duration: 1s323ms Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_bigmovement_results ORDER BY resultuid DESC LIMIT 1 ), all_results AS ( SELECT bmr.resultuid AS resultuid, 0 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, bmr.patternendtime AS identified, bmr.patternlengthbars, dtt.timezone AS timezone, g.basegroupname, CASE WHEN rbr.age IS NOT NULL THEN rbr.age WHEN bmr.resultuid <= rm.resultuid THEN 4 ELSE 0 END as age, CASE WHEN rbr.relevant IS NOT NULL THEN rbr.relevant WHEN bmr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM bigmovement_results bmr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '758' AND bsl.symbolid = bmr.symbolid INNER JOIN symbols s ON bmr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN downloadersymbolsettings dss ON bmr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN symbolgroup sg on bmr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_bigmovement_results rbr ON rbr.resultuid = bmr.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' WHERE bmr.gmttimefound > now() - INTERVAL '7 DAYS' AND (bmr.simulation = 0 OR bmr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('400' = 0 OR bmr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, patternlengthbars DESC ) SELECT * from results ORDER BY identified DESC, interval DESC;
Date: 2022-03-31 11:43:08 Duration: 1s257ms Database: acaweb_fx User: postgres Bind query: yes
Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 53m10s 53m10s 53m10s 1 53m10s select stats_populatestatssuccess_keylevels (( select coalesce(vgetbigint (?), ?)));Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Mar 31 02 1 53m10s 53m10s [ User: postgres - Total duration: 53m10s - Times executed: 1 ]
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select stats_populatestatssuccess_keylevels (( select coalesce(vGetBigInt ('stats_latestresultuid_kl'), 0)));
Date: 2022-03-31 02:53:12 Duration: 53m10s Database: acaweb_fx User: postgres
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select stats_populatestatssuccess_keylevels (( select coalesce(vGetBigInt ('stats_latestresultuid_kl'), 0)));
Date: 2022-03-31 02:00:05 Duration: 0ms Database: acaweb_fx User: postgres
2 56ms 7m4s 1m28s 89 2h11m27s update datafeeds_latestrun set latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime from ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = ?) as subquery where datafeeds_latestrun.feedname = ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Mar 31 02 1 66ms 66ms 03 8 583ms 72ms 06 13 1h31m57s 7m4s 08 1 56ms 56ms 09 13 39m20s 3m1s 10 20 2s507ms 125ms 11 13 1s66ms 82ms 12 20 5s676ms 283ms [ User: postgres - Total duration: 2h11m27s - Times executed: 89 ]
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'IFCMARKETSMT4') AS subquery WHERE datafeeds_latestrun.feedname = 'IFCMARKETSMT4';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'GKINVESTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'GKINVESTMT5';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'XM') AS subquery WHERE datafeeds_latestrun.feedname = 'XM';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
3 4s10ms 2m39s 22s576ms 80 30m6s select updateageforrelevantresults ();Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Mar 31 00 4 2m15s 33s913ms 01 4 2m31s 37s760ms 02 4 2m51s 42s812ms 03 4 4m45s 1m11s 04 4 2m25s 36s354ms 05 4 2m12s 33s185ms 06 4 2m55s 43s976ms 07 4 2m22s 35s596ms 08 4 2m12s 33s205ms 09 3 1m47s 35s758ms 13 1 10s656ms 10s656ms 14 4 53s205ms 13s301ms 15 4 17s929ms 4s482ms 16 4 17s339ms 4s334ms 17 4 17s968ms 4s492ms 18 4 17s85ms 4s271ms 19 4 16s701ms 4s175ms 20 4 17s 4s250ms 21 4 16s613ms 4s153ms 22 4 24s638ms 6s159ms 23 4 17s86ms 4s271ms [ User: postgres - Total duration: 30m6s - Times executed: 80 ]
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select updateageforrelevantresults ();
Date: 2022-03-31 03:04:42 Duration: 2m39s Database: acaweb_fx User: postgres
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select updateageforrelevantresults ();
Date: 2022-03-31 03:17:59 Duration: 56s951ms Database: acaweb_fx User: postgres
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select updateageforrelevantresults ();
Date: 2022-03-31 02:17:56 Duration: 54s311ms Database: acaweb_fx User: postgres
4 419ms 4m39s 17s952ms 96 28m43s select updaterelevantforrelevantresults ();Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Mar 31 00 4 22s599ms 5s649ms 01 4 12s891ms 3s222ms 02 4 22s643ms 5s660ms 03 4 30s288ms 7s572ms 04 4 25s909ms 6s477ms 05 4 21s534ms 5s383ms 06 4 44s954ms 11s238ms 07 4 24s282ms 6s70ms 08 4 47s199ms 11s799ms 09 4 23s446ms 5s861ms 10 4 5m46s 1m26s 11 4 7m53s 1m58s 12 4 9m32s 2m23s 13 4 22s425ms 5s606ms 14 4 9s138ms 2s284ms 15 4 3s407ms 851ms 16 4 3s46ms 761ms 17 4 2s425ms 606ms 18 4 2s129ms 532ms 19 4 2s452ms 613ms 20 4 2s271ms 567ms 21 4 2s148ms 537ms 22 4 3s575ms 893ms 23 4 2s674ms 668ms [ User: postgres - Total duration: 28m43s - Times executed: 96 ]
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select updaterelevantforrelevantresults ();
Date: 2022-03-31 12:10:11 Duration: 4m39s Database: acaweb_fx User: postgres
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select updaterelevantforrelevantresults ();
Date: 2022-03-31 12:38:32 Duration: 3m Database: acaweb_fx User: postgres
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select updaterelevantforrelevantresults ();
Date: 2022-03-31 11:38:31 Duration: 2m59s Database: acaweb_fx User: postgres
5 50ms 7m4s 13s660ms 779 2h57m21s 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 #5
Day Hour Count Duration Avg duration Mar 31 00 64 5s862ms 91ms 01 63 5s46ms 80ms 02 59 5s130ms 86ms 03 54 4s498ms 83ms 04 66 5s909ms 89ms 05 62 9s231ms 148ms 06 56 2h18s 2m8s 07 38 2s644ms 69ms 08 51 3s707ms 72ms 09 61 51m38s 50s802ms 10 68 1m 887ms 11 68 1m57s 1s728ms 12 68 1m44s 1s535ms 19 1 68ms 68ms [ User: postgres - Total duration: 2h57m21s - Times executed: 779 ]
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ADSSECURITIES') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ADSSECURITIES';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'GO_MARKETS') AS subquery WHERE datafeeds_latestrun.feedname ilike 'GO_MARKETS';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
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UPDATE datafeeds_latestrun SET latestrxtime = subquery.latestrxtime, latestdbwritetime = subquery.latestdbwritetime FROM ( select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'HOTFOREX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'HOTFOREX';
Date: 2022-03-31 06:25:06 Duration: 7m4s Database: acaweb_fx User: postgres
6 50ms 3m3s 6s936ms 2,847 5h29m8s with rar_max as ( ;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Mar 31 00 144 15m33s 6s485ms 01 129 12m34s 5s845ms 02 139 15m39s 6s755ms 03 117 13m2s 6s688ms 04 131 14m4s 6s444ms 05 126 12m29s 5s948ms 06 129 13m56s 6s486ms 07 119 11m58s 6s37ms 08 123 12m13s 5s962ms 09 118 17m28s 8s883ms 10 91 16m41s 11s7ms 11 87 12m58s 8s948ms 12 105 22m21s 12s780ms 13 98 12m48s 7s844ms 14 101 11m47s 7s1ms 15 121 12m59s 6s443ms 16 121 12m13s 6s63ms 17 116 11m44s 6s77ms 18 121 12m25s 6s164ms 19 143 15m5s 6s333ms 20 127 12m30s 5s908ms 21 126 14m11s 6s759ms 22 101 10m32s 6s264ms 23 114 11m45s 6s192ms [ User: postgres - Total duration: 5h29m8s - Times executed: 2847 ]
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WITH rar_max as ( ;
Date: 2022-03-31 12:24:49 Duration: 3m3s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( ;
Date: 2022-03-31 12:07:38 Duration: 2m6s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( ;
Date: 2022-03-31 10:58:15 Duration: 1m49s Database: acaweb_fx User: postgres Bind query: yes
7 413ms 2m27s 6s865ms 1,826 3h28m55s 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 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 (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 ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid, identified desc, length desc ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Mar 31 00 79 8m37s 6s545ms 01 82 8m40s 6s342ms 02 76 8m31s 6s734ms 03 63 8m 7s625ms 04 74 7m57s 6s454ms 05 90 10m17s 6s864ms 06 88 10m46s 7s343ms 07 85 9m1s 6s367ms 08 74 8m40s 7s36ms 09 63 9m41s 9s233ms 10 52 13m6s 15s119ms 11 42 15m22s 21s969ms 12 49 19m22s 23s728ms 13 151 9m16s 3s687ms 14 77 6m29s 5s52ms 15 86 7m9s 4s997ms 16 74 6m3s 4s908ms 17 60 5m1s 5s24ms 18 70 5m33s 4s762ms 19 90 7m7s 4s748ms 20 89 6m54s 4s657ms 21 74 5m46s 4s688ms 22 58 5m 5s179ms 23 80 6m26s 4s828ms [ User: postgres - Total duration: 3h28m55s - Times executed: 1826 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), 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 = '660' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:37:09 Duration: 2m27s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), 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 = '758' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:30:42 Duration: 1m34s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), 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 = '660' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('211' = 0 OR coalesce(bim.code, s.symbol) in ('BCHEUR', 'BCHUSD', 'BTCEUR', 'BTCUSD', 'ETHEUR', 'ETHUSD', 'LTCEUR', 'LTCUSD', 'USDRON', 'XRPEUR', 'XRPUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURCZK', 'EURGBP', 'EURHUF', 'EURJPY', 'EURMXN', 'EURNOK', 'EURNZD', 'EURPLN', 'EURSEK', 'EURTRY', 'EURUSD', 'EURZAR', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GBPZAR', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCZK', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDSEK', 'USDSGD', 'USDTRY', 'USDZAR', 'AA', 'AAPL', 'AC.pa', 'ACA.pa', 'ACB', 'ACKB.br', 'AD.as', 'ADBE', 'ADS.de', 'AGS.br', 'AI.pa', 'AIG', 'AIR.pa', 'ALV.de', 'AMZN', 'AXP', 'BA', 'BABA', 'BAC', 'BAS.de', 'BAYN.de', 'BIDU', 'BMW.de', 'BN.pa', 'BNP.pa', 'BRKB', 'C', 'CA.pa', 'CAP.pa', 'CAT', 'CBK.de', 'CGC', 'CRON', 'CS.pa', 'CSCO', 'CVX', 'DAI.de', 'DBK.de', 'DIS', 'DLTR', 'DPW.de', 'DTE.de', 'EBAY', 'EDF.pa', 'EL.pa', 'EN.pa', 'EOAN.de', 'FB', 'FEYE', 'FP.pa', 'FSLR', 'GE', 'GILD', 'GLE.pa', 'GM', 'GOOG', 'GS', 'HAS', 'HEIA.as', 'HEN3.de', 'HOG', 'HPQ', 'HSY', 'IBE.mc', 'IBM', 'IFX.de', 'INGA.as', 'INTC', 'JNJ', 'JPM', 'KO', 'LHA.de', 'LLOY.l', 'LMT', 'LR.pa', 'LVS', 'LYFT', 'M', 'MC.pa', 'ML.pa', 'MMM', 'MRK.de', 'MS', 'MSFT', 'NFLX', 'NKE', 'NOV', 'NOVN.vx', 'NVDA', 'ORA.pa', 'PANW', 'PFE', 'PG', 'PM', 'PUB.pa', 'PYPL', 'QCOM', 'RACE', 'REGN', 'RI.pa', 'RNO.pa', 'RWE.de', 'SAF.pa', 'SAN.pa', 'SAP.de', 'SBUX', 'SGO.pa', 'SIE.de', 'SMSN.l', 'SNAP', 'SRE', 'SU.pa', 'T', 'TEF.mc', 'TEVA', 'TGT', 'TKA.de', 'TSLA', 'TWTR', 'UBER', 'UBSG.vx', 'UNA.as', 'URW.as', 'V', 'VIE.pa', 'VIV.pa', 'VK.pa', 'VOW3.de', 'VZ', 'WMT', 'XOM', 'XAGUSD', 'XAUUSD', 'BRENT', 'COCOA', 'COFFEE', 'CORN', 'COTTON', 'NGAS', 'SUGAR', 'USDX', 'WHEAT', 'WTI', 'FRENCH40', 'GERMAN30', 'JPN225', 'NETHERLAND25', 'SPANISH35', 'SWISS20', 'UK100', 'US30', 'US500', 'USTECH100', 'USVIX')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:23:48 Duration: 1m29s Database: acaweb_fx User: postgres Bind query: yes
8 302ms 40s678ms 4s948ms 939 1h17m27s 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 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 (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 <= ?) ), results as ( select distinct on (symbolid) * from all_results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by symbolid, resultuid, identified desc, length desc ) select * from results order by identified desc, length desc;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Mar 31 00 35 2m32s 4s347ms 01 41 3m26s 5s28ms 02 35 2m52s 4s922ms 03 29 2m43s 5s643ms 04 35 3m1s 5s197ms 05 50 4m18s 5s178ms 06 50 4m5s 4s903ms 07 47 3m26s 4s385ms 08 40 2m54s 4s355ms 09 26 3m16s 7s552ms 10 27 3m24s 7s581ms 11 23 3m11s 8s309ms 12 23 2m26s 6s366ms 13 113 6m50s 3s631ms 14 41 3m46s 5s536ms 15 51 3m56s 4s638ms 16 37 3m7s 5s69ms 17 25 2m2s 4s899ms 18 32 2m24s 4s508ms 19 40 2m55s 4s391ms 20 41 3m2s 4s462ms 21 33 2m25s 4s400ms 22 28 2m14s 4s813ms 23 37 3m 4s890ms [ User: postgres - Total duration: 1h17m27s - Times executed: 939 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '538' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('11' = 0 OR coalesce(bim.code, s.symbol) in ('EURUSD', 'USDJPY', 'GBPUSD', 'GBPJPY', 'AUDUSD', 'EURJPY', 'USDCAD', 'EURGBP', 'XAUUSD', 'UKOIL', 'USOIL')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:06:00 Duration: 40s678ms Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '572' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('99' = 0 OR coalesce(bim.code, s.symbol) in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNOK', 'EURNZD', 'EURSEK', 'EURTRY', 'EURUSD', 'GAGEUR', 'GAGUSD', 'GAUEUR', 'GAUTRY', 'GAUUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPTRY', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDTRY', 'USDZAR', 'XAGEUR', 'XAGUSD', 'XAUEUR', 'XAUUSD', 'BITCOINCASH', 'ETHEREUM', 'LITECOIN', 'RIPPLE', 'ADIDAS', 'APPLE', 'BMW', 'BOFA', 'BP', 'DAIMLER', 'DEUTSCHBANK', 'DISNEY', 'EEM', 'EXS1', 'EXW1', 'EXXONMOBIL', 'FACEBOOK', 'GDX', 'GLD', 'GOOGLE', 'LVMH', 'MICROSOFT', 'QQQ', 'SPY', 'TLT', 'USO', 'WAL-MART', 'BUND10YR', 'COCOA', 'COFFEE', 'COPPER', 'CORN', 'COTTON', 'DOW30', 'ESP35', 'EU50', 'FRA40', 'GER30', 'GILT10YR', 'ITA40', 'JPN225', 'NAS100', 'NATGAS', 'SOYBEAN', 'SPX500', 'SUGAR', 'UK100', 'UKOIL', 'US10YR', 'USOIL', 'WHEAT')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 10:57:27 Duration: 28s396ms Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true 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 kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR coalesce(bim.code, s.symbol) in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('400' = 0 OR kr.patternlengthbars <= '400') ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC;
Date: 2022-03-31 09:55:26 Duration: 27s218ms Database: acaweb_fx User: postgres Bind query: yes
9 976ms 2m45s 4s582ms 6,130 7h48m7s with rar_max as ( select resultuid from relevance_keylevels_results order by resultuid desc limit ? ) select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as ruid, s.symbolid as sid, s.symbol as sym, longname, shortname, exchange as e, timegranularity as tg, a.patternid as pid, a.direction as d, a.patternprice as pp, atbaridentified as pet, case when (x9 != ?) then x9 when (x8 != ?) then x8 when (x7 != ?) then x7 when (x6 != ?) then x6 when (x5 != ?) then x5 when (x4 != ?) then x4 when (x3 != ?) then x3 when (x2 != ?) then x2 end as pst, patternprice as patp, x0, x1, x2, case when (x3 != ?) then x3 else ? end as x3, case when (x4 != ?) then x4 else ? end as x4, case when (x5 != ?) then x5 else ? end as x5, case when (x6 != ?) then x6 else ? end as x6, case when (x7 != ?) then x7 else ? end as x7, case when (x8 != ?) then x8 else ? end as x8, errormargin as erm, breakoutprice as pe, breakoutbars as be, breakout, atbaridentified as atbar, atpriceidentified as atprice, patternlengthbars as l, bandwidth as bw, qtytp as qtp, p.patternname as patternname, dtt.absolutetimezoneoffset as tzos, dtt.timezone as timezone, approachingtimestamp as apt, approachingregion as apr, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, furthestprice as fp, newlevels.filtered, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from keylevels_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join hrspatterns p on a.patternid = p.patternid inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on a.resultuid = rar.resultuid left join lateral calc_kl_signal_filter (a.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Mar 31 00 309 7m50s 1s521ms 01 268 7m4s 1s583ms 02 206 7m21s 2s143ms 03 317 9m20s 1s769ms 04 430 10m46s 1s504ms 05 449 12m6s 1s618ms 06 549 22m6s 2s416ms 07 612 15m33s 1s524ms 08 642 18m30s 1s729ms 09 739 39m37s 3s217ms 10 656 1h16m41s 7s15ms 11 531 2h8m23s 14s506ms 12 422 1h52m44s 16s30ms [ User: postgres - Total duration: 7h48m7s - Times executed: 6130 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '82438976' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice AS pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '0' END AS x3, CASE WHEN (x4 != '') THEN x4 ELSE '0' END AS x4, CASE WHEN (x5 != '') THEN x5 ELSE '0' END AS x5, CASE WHEN (x6 != '') THEN x6 ELSE '0' END AS x6, CASE WHEN (x7 != '') THEN x7 ELSE '0' END AS x7, CASE WHEN (x8 != '') THEN x8 ELSE '0' END AS x8, errorMargin AS erm, breakoutprice AS pE, breakoutbars AS be, breakout, atbaridentified AS atBar, atpriceidentified AS atPrice, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname AS patternname, dtt.absolutetimezoneoffset AS tzOs, dtt.timezone AS timezone, approachingtimestamp AS apt, approachingregion AS apr, predictionpricefrom AS ppf, predictionpriceto AS ppt, predictiontimefrom AS ptf, predictiontimebars AS ptb, furthestprice AS fp, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM keylevels_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON a.resultuid = rar.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '82438976' OR a.resultuid = '82438976') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:24:25 Duration: 2m45s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '82460728' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice AS pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '0' END AS x3, CASE WHEN (x4 != '') THEN x4 ELSE '0' END AS x4, CASE WHEN (x5 != '') THEN x5 ELSE '0' END AS x5, CASE WHEN (x6 != '') THEN x6 ELSE '0' END AS x6, CASE WHEN (x7 != '') THEN x7 ELSE '0' END AS x7, CASE WHEN (x8 != '') THEN x8 ELSE '0' END AS x8, errorMargin AS erm, breakoutprice AS pE, breakoutbars AS be, breakout, atbaridentified AS atBar, atpriceidentified AS atPrice, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname AS patternname, dtt.absolutetimezoneoffset AS tzOs, dtt.timezone AS timezone, approachingtimestamp AS apt, approachingregion AS apr, predictionpricefrom AS ppf, predictionpriceto AS ppt, predictiontimefrom AS ptf, predictiontimebars AS ptb, furthestprice AS fp, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM keylevels_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON a.resultuid = rar.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '82460728' OR a.resultuid = '82460728') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:24:25 Duration: 2m44s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ) SELECT CASE WHEN a.old_resultuid = '82460722' THEN a.old_resultuid ELSE a.resultuid END AS ruid, s.symbolid AS sid, s.symbol AS sym, longname, shortname, Exchange AS e, timegranularity AS tg, a.PatternID AS pid, a.direction AS d, a.patternprice AS pp, atbaridentified AS pet, CASE WHEN (x9 != '') THEN x9 WHEN (x8 != '') THEN x8 WHEN (x7 != '') THEN x7 WHEN (x6 != '') THEN x6 WHEN (x5 != '') THEN x5 WHEN (x4 != '') THEN x4 WHEN (x3 != '') THEN x3 WHEN (x2 != '') THEN x2 END AS pst, PatternPrice AS patp, x0, x1, x2, CASE WHEN (x3 != '') THEN x3 ELSE '0' END AS x3, CASE WHEN (x4 != '') THEN x4 ELSE '0' END AS x4, CASE WHEN (x5 != '') THEN x5 ELSE '0' END AS x5, CASE WHEN (x6 != '') THEN x6 ELSE '0' END AS x6, CASE WHEN (x7 != '') THEN x7 ELSE '0' END AS x7, CASE WHEN (x8 != '') THEN x8 ELSE '0' END AS x8, errorMargin AS erm, breakoutprice AS pE, breakoutbars AS be, breakout, atbaridentified AS atBar, atpriceidentified AS atPrice, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname AS patternname, dtt.absolutetimezoneoffset AS tzOs, dtt.timezone AS timezone, approachingtimestamp AS apt, approachingregion AS apr, predictionpricefrom AS ppf, predictionpriceto AS ppt, predictiontimefrom AS ptf, predictiontimebars AS ptb, furthestprice AS fp, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM keylevels_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON a.resultuid = rar.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '82460722' OR a.resultuid = '82460722') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:24:25 Duration: 2m44s Database: acaweb_fx User: postgres Bind query: yes
10 50ms 8m40s 4s561ms 4,075 5h9m48s 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 ), results as ( select distinct on (s.symbolid) ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, ar.pattern as pattern_name, ar.breakout as breakout, ar.patternendtime as identified, dtt.timezone as timezone, ar.patternlengthbars as length, g.basegroupname, newlevels.profit, newlevels.stop, newlevels.filtered, case when ar.age is not null then ar.age when ar.resultuid <= rm.resultuid then ? 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 currencypips cp on s.symbol = cp.symbol left join lateral calc_cp_signal (ar.resultuid) newlevels on true where ar.gmttimefound > now() - interval ? and dss.enabled = ? and (ar.simulation = ? or ar.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or 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 order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Mar 31 00 187 9m9s 2s938ms 01 186 7m52s 2s538ms 02 191 9m14s 2s900ms 03 189 10m13s 3s243ms 04 187 7m32s 2s422ms 05 187 7m7s 2s283ms 06 190 10m24s 3s287ms 07 190 8m19s 2s628ms 08 190 8m3s 2s544ms 09 185 15m43s 5s101ms 10 183 37m33s 12s316ms 11 183 56m55s 18s664ms 12 207 45m58s 13s323ms 13 100 4m9s 2s498ms 14 132 5m52s 2s671ms 15 144 7m3s 2s942ms 16 153 7m21s 2s883ms 17 156 7m15s 2s791ms 18 155 7m8s 2s765ms 19 156 7m18s 2s810ms 20 156 7m24s 2s849ms 21 156 7m17s 2s802ms 22 156 7m25s 2s857ms 23 156 7m23s 2s845ms [ User: postgres - Total duration: 5h9m48s - Times executed: 4075 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 10:09:11 Duration: 8m40s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:10:33 Duration: 8m40s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, ar.pattern AS pattern_name, ar.breakout AS breakout, ar.patternendtime AS identified, dtt.timezone AS timezone, ar.patternlengthbars AS length, g.basegroupname, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN ar.age IS NOT NULL THEN ar.age WHEN ar.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN ar.relevant IS NOT NULL THEN ar.relevant WHEN ar.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM ar INNER JOIN symbols s ON ar.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true WHERE ar.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('327' = 0 OR s.symbol in ('#AAPL', '#ADS', '#AIG', '#ALV', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BAS', '#BAYN', '#BEI', '#BIDU', '#BMW', '#C', '#CAT', '#CBK', '#CL', '#CSCO', '#CVX', '#DAI', '#DB1', '#DBK', '#DIS', '#DPW', '#DTE', '#EBAY', '#EON', '#F', '#FB', '#FDX', '#FME', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#IFX', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LHA', '#LIN', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#MUV2', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#RWE', '#SAP', '#SHI', '#SIE', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#VOW', '#WB', '#XOM', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'AUS200', 'BRENT', 'BTCUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'CHI50', 'ESP35', 'ETHUSD', 'EU50', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'FRA40', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'LTCUSD', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'SPX500', 'UK100', 'US30', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'WTI', 'XAGUSD', 'XAUUSD', '#ADS', '#ALV', '#BAS', '#BAYN', '#BEI', '#BMW', '#CBK', '#DAI', '#DB1', '#DBK', '#DPW', '#DTE', '#EON', '#FME', '#IFX', '#LHA', '#LIN', '#MUV2', '#RWE', '#SAP', '#SIE', '#VOW', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDJPY', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BTCUSD', 'ETHUSD', 'LTCUSD', 'AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURHUF', 'EURJPY', 'EURNZD', 'EURPLN', 'EURTRY', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'USDCNH', 'USDCZK', 'USDDKK', 'USDHKD', 'USDHUF', 'USDMXN', 'USDNOK', 'USDPLN', 'USDRUB', 'USDSEK', 'USDSGD', 'USDTRY', 'USDX', 'USDZAR', 'XAGUSD', 'XAUUSD', 'BRENT', 'WTI', 'AUS200', 'CHI50', 'ESP35', 'EU50', 'FRA40', 'GER30', 'HK50', 'HKCH50', 'IT40', 'JP225', 'NAS100', 'SPX500', 'UK100', 'US30', 'AUDUSD', 'EURUSD', 'GBPUSD', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', '#AAPL', '#AIG', '#AMZN', '#AXP', '#BA', '#BABA', '#BAC', '#BIDU', '#C', '#CAT', '#CL', '#CSCO', '#CVX', '#DIS', '#EBAY', '#F', '#FB', '#FDX', '#GE', '#GM', '#GOOG', '#GS', '#HPQ', '#IBM', '#INTC', '#JD', '#JNJ', '#JPM', '#KO', '#LMT', '#MA', '#MCD', '#MMM', '#MSFT', '#NFLX', '#NKE', '#NTES', '#ORCL', '#PFE', '#PG', '#PTR', '#QCOM', '#RACE', '#SHI', '#SNP', '#T', '#TSLA', '#TWTR', '#UBER', '#V', '#WB', '#XOM')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('400' = 0 OR ar.patternlengthbars <= '400') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:29:55 Duration: 4m25s Database: acaweb_fx User: postgres Bind query: yes
11 334ms 1m42s 4s49ms 743 50m9s 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 ), results as ( select distinct on (s.symbolid) ar.resultuid as resultuid, ar.direction as direction, ar.predictiontimeto as predictiontimeto, ar.predictionpricefrom as predictionpricefrom, ar.predictionpriceto as predictionpriceto, cp.pip as pip, s.exchange as exchange, s.symbolid as symbolid, 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 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 (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 order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Mar 31 00 34 1m56s 3s420ms 01 20 1m36s 4s840ms 02 40 1m44s 2s608ms 03 12 35s787ms 2s982ms 04 36 1m20s 2s227ms 05 18 46s819ms 2s601ms 06 61 5m56s 5s848ms 07 18 1m10s 3s898ms 08 46 4m18s 5s614ms 09 20 2m20s 7s42ms 10 11 3m53s 21s264ms 11 8 1m43s 12s956ms 12 42 11m20s 16s212ms 13 58 2m20s 2s423ms 14 27 1m7s 2s481ms 15 41 1m4s 1s561ms 16 30 53s982ms 1s799ms 17 43 1m26s 2s9ms 18 48 1m13s 1s522ms 19 48 1m20s 1s676ms 20 22 33s939ms 1s542ms 21 44 1m2s 1s413ms 22 8 11s310ms 1s413ms 23 8 11s249ms 1s406ms [ User: postgres - Total duration: 50m9s - Times executed: 743 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, 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 = '529' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('31' = 0 OR coalesce(bim.code, s.symbol) in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'JPN225', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'XAGUSD', 'XAUUSD')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:35:53 Duration: 1m42s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, 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 = '627' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:37:35 Duration: 1m24s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ), ar AS ( SELECT a.*, rr.age, rr.relevant from autochartist_results a LEFT OUTER JOIN relevance_autochartist_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_autochartist_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) ar.resultuid AS resultuid, ar.direction AS direction, ar.predictiontimeto AS predictiontimeto, ar.predictionpricefrom AS predictionpricefrom, ar.predictionpriceto AS predictionpriceto, cp.pip AS pip, s.exchange AS exchange, s.symbolid AS symbolid, 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 = '529' AND bsl.symbolid = s.symbolid INNER JOIN symbolgroup sg on bsl.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON sg.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN currencypips cp ON s.symbol = cp.symbol LEFT JOIN LATERAL calc_cp_signal (ar.resultuid) newLevels on true 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 (ar.simulation = 0 OR ar.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('31' = 0 OR coalesce(bim.code, s.symbol) in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'JPN225', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'XAGUSD', 'XAUUSD')) AND ('0' = 0 OR ar.pattern in ('')) AND ('0' = 0 OR ('0' = 1 AND ar.breakout >= 0) OR ('0' = 2 AND ar.breakout < 0)) AND ('0' = 0 OR ar.patternlengthbars <= '0') and newLevels.filtered = false ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 10:01:57 Duration: 1m23s Database: acaweb_fx User: postgres Bind query: yes
12 50ms 1m42s 3s843ms 560 35m52s select fixcandlegaps (?, false);Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Mar 31 00 23 59s609ms 2s591ms 01 23 1m6s 2s903ms 02 23 50s180ms 2s181ms 03 24 1m10s 2s918ms 04 23 55s476ms 2s412ms 05 24 52s790ms 2s199ms 06 23 1m3s 2s755ms 07 23 1m2s 2s719ms 08 23 53s710ms 2s335ms 09 23 1m40s 4s353ms 10 25 5m15s 12s607ms 11 25 5m11s 12s455ms 12 24 9m39s 24s142ms 13 24 1m30s 3s771ms 14 23 26s264ms 1s141ms 15 23 22s619ms 983ms 16 23 18s543ms 806ms 17 23 19s930ms 866ms 18 23 21s712ms 944ms 19 23 20s575ms 894ms 20 23 19s689ms 856ms 21 23 21s464ms 933ms 22 23 20s319ms 883ms 23 23 30s144ms 1s310ms [ User: postgres - Total duration: 35m52s - Times executed: 560 ]
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select fixcandlegaps ('XM', false);
Date: 2022-03-31 12:10:48 Duration: 1m42s Database: acaweb_fx User: postgres
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select fixcandlegaps ('XM', false);
Date: 2022-03-31 11:09:31 Duration: 1m13s Database: acaweb_fx User: postgres
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select fixcandlegaps ('LEGACYFXMT5', false);
Date: 2022-03-31 12:08:13 Duration: 1m3s Database: acaweb_fx User: postgres
13 240ms 1m2s 3s441ms 584 33m29s 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 ), results as ( select distinct on (s.symbolid) 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 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 (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 <= ?) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Mar 31 00 25 1m36s 3s851ms 01 15 1m 4s63ms 02 30 1m56s 3s878ms 03 9 37s109ms 4s123ms 04 27 1m39s 3s695ms 05 15 1m8s 4s568ms 06 56 4m49s 5s173ms 07 15 48s883ms 3s258ms 08 40 2m34s 3s850ms 09 15 2m1s 8s95ms 10 11 2m46s 15s117ms 11 7 37s176ms 5s310ms 12 36 3m8s 5s248ms 13 46 2m9s 2s825ms 14 16 30s854ms 1s928ms 15 30 1m1s 2s59ms 16 21 34s530ms 1s644ms 17 36 1m6s 1s843ms 18 37 1m4s 1s740ms 19 36 53s411ms 1s483ms 20 16 21s323ms 1s332ms 21 33 45s343ms 1s374ms 22 6 8s100ms 1s350ms 23 6 8s238ms 1s373ms [ User: postgres - Total duration: 33m29s - Times executed: 584 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '627' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR coalesce(bim.code, s.symbol) in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 10:05:03 Duration: 1m2s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '529' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('31' = 0 OR coalesce(bim.code, s.symbol) in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'JPN225', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'XAGUSD', 'XAUUSD')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 06:33:28 Duration: 34s664ms Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, 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 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '529' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('7' = 0 OR s.timegranularity in ('15', '30', '60', '120', '240', '480', '1440')) AND ('0' = 0 OR s.exchange in ('')) AND ('31' = 0 OR coalesce(bim.code, s.symbol) in ('AUDCAD', 'AUDCHF', 'AUDJPY', 'AUDNZD', 'AUDUSD', 'CADJPY', 'CHFJPY', 'EURAUD', 'EURCAD', 'EURCHF', 'EURGBP', 'EURJPY', 'EURNZD', 'EURUSD', 'GBPAUD', 'GBPCAD', 'GBPCHF', 'GBPJPY', 'GBPNZD', 'GBPUSD', 'JPN225', 'NAS100', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY', 'XAGUSD', 'XAUUSD')) AND ('0' = 0 OR p.patternname in ('')) AND ('2' = 0 OR kr.patternclassid in ('1', '2')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('10' = 0 OR age <= '10') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 10:02:30 Duration: 32s985ms Database: acaweb_fx User: postgres Bind query: yes
14 1s265ms 3m21s 3s323ms 10,889 10h3m11s with rar_max as ( select resultuid from relevance_autochartist_results order by resultuid desc limit ? ) select a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternstartprice, patternendprice, qtytp, newlevels.profit, newlevels.stop, newlevels.filtered, case when rar.age is not null then rar.age when a.resultuid <= rm.resultuid then ? else ? end as age, case when rar.relevant is not null then rar.relevant when a.resultuid <= rm.resultuid then ? else ? end as relevant, cps.pip from autochartist_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern inner join rar_max rm on ? = ? left outer join relevance_autochartist_results rar on rar.resultuid = a.resultuid left join lateral calc_cp_signal (a.resultuid) newlevels on true left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Mar 31 00 722 19m28s 1s618ms 01 734 20m11s 1s650ms 02 713 23m35s 1s985ms 03 641 22m12s 2s78ms 04 767 23m15s 1s819ms 05 791 25m47s 1s955ms 06 872 30m16s 2s83ms 07 850 24m2s 1s696ms 08 1,157 35m22s 1s834ms 09 1,438 1h6m32s 2s776ms 10 1,044 1h37m17s 5s591ms 11 608 1h54m20s 11s284ms 12 552 1h40m48s 10s957ms [ User: postgres - Total duration: 10h3m11s - Times executed: 10889 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ) SELECT a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, CASE WHEN a.old_resultuid = '582634128' THEN a.old_resultuid ELSE a.resultuid END AS uid, breakout, initialtrend, volumeincrease, symmetry AS uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternStartPrice, patternEndPrice, qtytp, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid LEFT JOIN LATERAL calc_cp_signal (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582634128' OR a.resultuid = '582634128') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:37:39 Duration: 3m21s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ) SELECT a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, CASE WHEN a.old_resultuid = '582635804' THEN a.old_resultuid ELSE a.resultuid END AS uid, breakout, initialtrend, volumeincrease, symmetry AS uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternStartPrice, patternEndPrice, qtytp, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid LEFT JOIN LATERAL calc_cp_signal (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582635804' OR a.resultuid = '582635804') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:37:39 Duration: 3m21s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1 ) SELECT a.symbolid, pattern, patternid, resy0, resy1, resx0, resx1, supporty0, supporty1, supportx0, supportx1, predictiontimeto, patternstarttime, timegranularity, patternendtime, direction, trendchange, patternlengthbars, patternquality, CASE WHEN a.old_resultuid = '582601664' THEN a.old_resultuid ELSE a.resultuid END AS uid, breakout, initialtrend, volumeincrease, symmetry AS uniformity, predictionpricefrom, predictionpriceto, noise, s.exchange, s.symbol, s.longname, s.shortname, breakout, dtt.timezone, patternStartPrice, patternEndPrice, qtytp, newLevels.profit, newLevels.stop, newLevels.filtered, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid LEFT JOIN LATERAL calc_cp_signal (a.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582601664' OR a.resultuid = '582601664') AND dtt.dayofweek = 3;
Date: 2022-03-31 12:37:43 Duration: 3m20s Database: acaweb_fx User: postgres Bind query: yes
15 50ms 1m10s 925ms 4,361 1h7m14s (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit ?))) union all (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit ?))) union all (( select distinct ? as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = ? union select distinct ? as patterntype, ar.resultuid as resultuid, ?, ? from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = ? inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit ?)));Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Mar 31 00 186 36s791ms 197ms 01 175 52s970ms 302ms 02 180 59s898ms 332ms 03 172 1m26s 505ms 04 158 35s926ms 227ms 05 176 30s461ms 173ms 06 184 1m17s 420ms 07 189 31s913ms 168ms 08 204 49s338ms 241ms 09 211 2m38s 749ms 10 214 21m58s 6s162ms 11 234 17m58s 4s611ms 12 225 13m27s 3s587ms 13 213 34s628ms 162ms 14 239 28s69ms 117ms 15 183 22s271ms 121ms 16 181 18s311ms 101ms 17 185 17s188ms 92ms 18 170 16s864ms 99ms 19 157 16s499ms 105ms 20 140 14s322ms 102ms 21 120 11s926ms 99ms 22 131 14s752ms 112ms 23 134 14s261ms 106ms [ User: postgres - Total duration: 1h7m14s - Times executed: 4361 ]
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '632' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '632' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '632' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '632' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '632' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '632' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-03-31 10:06:50 Duration: 1m10s Database: acaweb_fx User: postgres Bind query: yes
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '558' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '558' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-03-31 10:05:40 Duration: 52s862ms Database: acaweb_fx User: postgres Bind query: yes
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(( SELECT /*CPRelevantList*/ distinct 0 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_autochartist_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '619' union select distinct 0 as patterntype, ar.resultuid as resultuid, 0, 1 from autochartist_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '619' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_autochartist_results order by resultuid desc limit 1))) union all (( SELECT distinct 1 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_fibonacci_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '619' union select distinct 1 as patterntype, ar.resultuid as resultuid, 0, 1 from fibonacci_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '619' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_fibonacci_results order by resultuid desc limit 1))) union all (( SELECT distinct 2 as patterntype, ar.resultuid as resultuid, rar.age, rar.relevant FROM keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid inner join symbols s on s.symbolid = bsl.symbolid inner join relevance_keylevels_results rar on rar.resultuid = ar.resultuid where bsl.brokerid = '619' union select distinct 2 as patterntype, ar.resultuid as resultuid, 0, 1 from keylevels_results ar inner join brokersymbollist bsl on bsl.symbolid = ar.symbolid and bsl.brokerid = '619' inner join symbols s on s.symbolid = bsl.symbolid where resultuid > ( select resultuid from relevance_keylevels_results order by resultuid desc limit 1)));
Date: 2022-03-31 10:06:55 Duration: 52s169ms Database: acaweb_fx User: postgres Bind query: yes
16 50ms 11s866ms 776ms 2,788 36m5s 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 #16
Day Hour Count Duration Avg duration Mar 31 00 127 30s292ms 238ms 01 107 15s577ms 145ms 02 127 31s446ms 247ms 03 179 1m13s 411ms 04 116 29s653ms 255ms 05 132 24s849ms 188ms 06 146 46s462ms 318ms 07 143 22s478ms 157ms 08 185 53s239ms 287ms 09 137 43s248ms 315ms 10 259 6m49s 1s580ms 11 248 8m55s 2s158ms 12 250 9m59s 2s396ms 13 278 3m29s 752ms 14 102 16s827ms 164ms 15 28 2s685ms 95ms 16 66 6s370ms 96ms 17 17 1s273ms 74ms 18 4 238ms 59ms 19 15 1s516ms 101ms 20 10 875ms 87ms 21 17 1s314ms 77ms 22 49 6s5ms 122ms 23 46 4s408ms 95ms [ User: postgres - Total duration: 36m5s - Times executed: 2788 ]
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T60 WHERE symbolid = '982602' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:00 Duration: 11s866ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T60 WHERE symbolid = '1035443' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 11:52:27 Duration: 10s563ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T60 WHERE symbolid = '1002918' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:06 Duration: 10s14ms Database: acaweb_fx User: postgres Bind query: yes
17 50ms 15s498ms 745ms 2,625 32m37s select * from ( select pricedatetime, open, high, low, close, volume, bsf from t30 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Mar 31 00 125 29s152ms 233ms 01 126 21s520ms 170ms 02 131 41s186ms 314ms 03 153 1m39s 652ms 04 144 35s102ms 243ms 05 144 29s190ms 202ms 06 179 1m24s 470ms 07 148 30s339ms 204ms 08 182 1m1s 340ms 09 195 1m2s 321ms 10 199 5m6s 1s539ms 11 192 7m52s 2s461ms 12 202 10m6s 3s4ms 13 35 22s821ms 652ms 14 98 14s645ms 149ms 15 56 5s469ms 97ms 16 66 5s743ms 87ms 17 32 2s409ms 75ms 18 29 2s480ms 85ms 19 27 2s700ms 100ms 20 34 3s30ms 89ms 21 20 1s912ms 95ms 22 67 10s793ms 161ms 23 41 4s504ms 109ms [ User: postgres - Total duration: 32m37s - Times executed: 2625 ]
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T30 WHERE symbolid = '982376' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:08:56 Duration: 15s498ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T30 WHERE symbolid = '986746' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:40 Duration: 13s673ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T30 WHERE symbolid = '1010177' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:50 Duration: 13s343ms Database: acaweb_fx User: postgres Bind query: yes
18 399ms 51s179ms 740ms 2,323 28m40s select case when a.old_resultuid = ? then a.old_resultuid else a.resultuid end as resultuid, s.symbol, pattern as patternname, timegranularity as interval, patternlengthbars as length, patternendtime, direction, breakout, predictiontimeto, predictionpricefrom, predictionpriceto, patternstartprice, resy1, supporty1, dtt.timezone, cps.pip from autochartist_results a inner join downloadersymbolsettings dss on a.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname inner join symbols s on a.symbolid = s.symbolid inner join patterns p on p.patternname = a.pattern left join currencypips cps on cps.symbol = s.symbol where (a.old_resultuid = ? or a.resultuid = ?) and dtt.dayofweek = ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Mar 31 00 245 2m20s 573ms 01 173 1m31s 530ms 02 137 1m27s 640ms 03 137 2m8s 936ms 04 265 2m33s 581ms 05 171 1m38s 576ms 06 146 2m16s 934ms 07 188 2m9s 688ms 08 278 3m33s 767ms 09 497 5m4s 613ms 10 49 1m58s 2s422ms 11 37 1m57s 3s166ms [ User: postgres - Total duration: 28m40s - Times executed: 2323 ]
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SELECT CASE WHEN a.old_resultuid = '582381533' THEN a.old_resultuid ELSE a.resultuid END as resultuid, s.symbol, pattern as patternname, timegranularity as interval, patternlengthbars AS length, patternendtime, direction, breakout, predictiontimeto, predictionpricefrom, predictionpriceto, patternStartPrice, resy1, supporty1, dtt.timezone, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582381533' OR a.resultuid = '582381533') AND dtt.dayofweek = 3;
Date: 2022-03-31 10:24:13 Duration: 51s179ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT CASE WHEN a.old_resultuid = '582486135' THEN a.old_resultuid ELSE a.resultuid END as resultuid, s.symbol, pattern as patternname, timegranularity as interval, patternlengthbars AS length, patternendtime, direction, breakout, predictiontimeto, predictionpricefrom, predictionpriceto, patternStartPrice, resy1, supporty1, dtt.timezone, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582486135' OR a.resultuid = '582486135') AND dtt.dayofweek = 3;
Date: 2022-03-31 03:03:20 Duration: 33s719ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT CASE WHEN a.old_resultuid = '582556693' THEN a.old_resultuid ELSE a.resultuid END as resultuid, s.symbol, pattern as patternname, timegranularity as interval, patternlengthbars AS length, patternendtime, direction, breakout, predictiontimeto, predictionpricefrom, predictionpriceto, patternStartPrice, resy1, supporty1, dtt.timezone, cps.pip FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = '582556693' OR a.resultuid = '582556693') AND dtt.dayofweek = 3;
Date: 2022-03-31 11:49:20 Duration: 32s721ms Database: acaweb_fx User: postgres Bind query: yes
19 55ms 3m5s 706ms 2,877 33m53s 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 ), results as ( select distinct on (s.symbolid) kr.resultuid as resultuid, kr.direction as direction, s.exchange as exchange, s.symbolid as symbolid, s.symbol as symbol_code, s.longname as symbol_name, s.timegranularity as interval, p.patternname as pattern_name, kr.breakout as breakout, kr.atbaridentified as identified, dtt.timezone as timezone, kr.patternlengthbars as length, g.basegroupname, newlevels.filtered, case when kr.age is not null then kr.age when kr.resultuid <= rm.resultuid then ? else ? end as age, case when kr.relevant is not null then kr.relevant when kr.resultuid <= rm.resultuid then ? else ? end as relevant from kr inner join brokersymbollist bsl on bsl.brokerid = ? and bsl.symbolid = kr.symbolid inner join symbols s on bsl.symbolid = s.symbolid and s.nonliquid = ? inner join symbolgroup sg on s.symbolid = sg.symbolid inner join groups g on sg.groupid = g.groupid inner join brokergroups bg on g.groupid = bg.groupid and bsl.brokerid = bg.brokerid inner join hrspatterns p on kr.patternid = p.patternid inner join downloadersymbolsettings dss on s.symbolid = dss.symbolid inner join datafeedstimetable dtt on dss.classname = dtt.classname and dtt.dayofweek = ? inner join rar_max rm on ? = ? left outer join relevance_keylevels_results rar on rar.resultuid = kr.resultuid left join lateral calc_kl_signal_filter (kr.resultuid) newlevels on true where kr.gmttimefound > now() - interval ? and dss.enabled = ? and (kr.simulation = ? or kr.simulation is null) and (? = ? or s.timegranularity in (...)) and (? = ? or s.exchange in (...)) and (? = ? or s.symbol in (...)) and (? = ? or p.patternname in (...)) and (? = ? or kr.patternclassid in (...)) and (? = ? or kr.patternlengthbars <= ?) order by symbolid, identified desc, patternlengthbars desc ) select * from results where (false = ? or relevant = ?) and (? = ? or age <= ?) order by identified desc, length desc;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Mar 31 00 134 59s143ms 441ms 01 135 56s12ms 414ms 02 135 57s912ms 428ms 03 132 40s733ms 308ms 04 133 39s25ms 293ms 05 134 48s594ms 362ms 06 133 59s619ms 448ms 07 136 1m5s 478ms 08 134 1m2s 464ms 09 127 1m27s 688ms 10 132 4m2s 1s836ms 11 126 6m27s 3s74ms 12 154 7m42s 3s2ms 13 66 20s284ms 307ms 14 95 40s325ms 424ms 15 98 38s792ms 395ms 16 106 28s786ms 271ms 17 109 29s697ms 272ms 18 111 51s884ms 467ms 19 108 20s612ms 190ms 20 110 39s177ms 356ms 21 110 30s114ms 273ms 22 109 27s552ms 252ms 23 110 38s687ms 351ms [ User: postgres - Total duration: 33m53s - Times executed: 2877 ]
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 12:24:50 Duration: 3m5s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:02:23 Duration: 1m58s Database: acaweb_fx User: postgres Bind query: yes
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WITH rar_max as ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1 ), kr AS ( SELECT a.*, rr.age, rr.relevant from keylevels_results a LEFT OUTER JOIN relevance_keylevels_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = 't' THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_keylevels_results) END ), results AS ( SELECT DISTINCT ON (s.symbolid) kr.resultuid AS resultuid, kr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, s.symbol AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, p.patternname AS pattern_name, kr.breakout AS breakout, kr.atbaridentified AS identified, dtt.timezone AS timezone, kr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN kr.age IS NOT NULL THEN kr.age WHEN kr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN kr.relevant IS NOT NULL THEN kr.relevant WHEN kr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant FROM kr INNER JOIN brokersymbollist bsl ON bsl.brokerid = '689' AND bsl.symbolid = kr.symbolid INNER JOIN symbols s ON bsl.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN hrspatterns p ON kr.patternid = p.patternid INNER JOIN downloadersymbolsettings dss ON s.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = kr.resultuid LEFT JOIN LATERAL calc_kl_signal_filter (kr.resultuid) newLevels on true WHERE kr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND (kr.simulation = 0 OR kr.simulation IS NULL) AND ('0' = 0 OR s.timegranularity in ('0')) AND ('0' = 0 OR s.exchange in ('')) AND ('0' = 0 OR s.symbol in ('')) AND ('0' = 0 OR p.patternname in ('')) AND ('0' = 0 OR kr.patternclassid in ('0')) AND ('0' = 0 OR kr.patternlengthbars <= '0') ORDER BY symbolid, identified DESC, patternlengthbars DESC ) SELECT * from results WHERE (FALSE = 't' OR relevant = 1) AND ('0' = 0 OR age <= '0') ORDER BY identified DESC, length DESC;
Date: 2022-03-31 11:56:02 Duration: 52s257ms Database: acaweb_fx User: postgres Bind query: yes
20 50ms 13s264ms 593ms 3,969 39m17s select * from ( select pricedatetime, open, high, low, close, volume, bsf from t15 where symbolid = ? and (bsf = ? or bsf is null) order by pricedatetime desc limit ?) a order by pricedatetime asc;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Mar 31 00 132 14s464ms 109ms 01 98 8s729ms 89ms 02 275 38s418ms 139ms 03 294 1m36s 327ms 04 195 27s795ms 142ms 05 204 29s120ms 142ms 06 305 1m19s 260ms 07 201 28s166ms 140ms 08 250 48s536ms 194ms 09 279 1m15s 269ms 10 564 9m24s 1s 11 612 11m56s 1s170ms 12 475 10m 1s263ms 13 39 23s894ms 612ms 14 16 1s33ms 64ms 15 4 414ms 103ms 19 8 2s510ms 313ms 20 2 907ms 453ms 22 16 1s1ms 62ms [ User: postgres - Total duration: 39m17s - Times executed: 3969 ]
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '1002811' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:14 Duration: 13s264ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '986915' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:08:58 Duration: 12s189ms Database: acaweb_fx User: postgres Bind query: yes
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T15 WHERE symbolid = '1009866' AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:09:22 Duration: 10s981ms Database: acaweb_fx User: postgres Bind query: yes
Time consuming prepare
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 1s85ms 13 55ms 158ms 83ms WITH rar_max as ( ;Times Reported Time consuming prepare #1
Day Hour Count Duration Avg duration Mar 31 09 2 179ms 89ms 10 5 454ms 90ms 11 2 185ms 92ms 12 4 265ms 66ms [ User: postgres - Total duration: 1m27s - Times executed: 13 ]
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WITH rar_max as ( ;
Date: 2022-03-31 10:03:55 Duration: 158ms Database: postgres User: acaweb_fx Remote: postgres
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WITH rar_max as ( ;
Date: 2022-03-31 11:06:47 Duration: 104ms Database: postgres User: acaweb_fx Remote: postgres
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WITH rar_max as ( ;
Date: 2022-03-31 09:58:30 Duration: 97ms Database: postgres User: acaweb_fx Remote: postgres
2 476ms 5 50ms 150ms 95ms with sym_info as ( ;Times Reported Time consuming prepare #2
Day Hour Count Duration Avg duration 10 2 175ms 87ms 11 2 151ms 75ms 12 1 150ms 150ms [ User: postgres - Total duration: 8s230ms - Times executed: 5 ]
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with sym_info as ( ;
Date: 2022-03-31 12:35:50 Duration: 150ms Database: postgres User: acaweb_fx Remote: postgres
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with sym_info as ( ;
Date: 2022-03-31 10:05:57 Duration: 124ms Database: postgres User: acaweb_fx Remote: postgres
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with sym_info as ( ;
Date: 2022-03-31 11:35:56 Duration: 80ms Database: postgres User: acaweb_fx Remote: postgres
3 349ms 5 50ms 105ms 69ms SELECT dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, hour, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend, (psh.ave - psh.stddev / 2.0) AS low, psh.ave, (psh.ave + psh.stddev / 2.0) AS high, psh.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM brokersymbollist bsl INNER JOIN powerstats_symboldata psd ON bsl.symbolid = psd.symbolid 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 exchanges ee on ee.exchange = s.exchange INNER JOIN mat_ps_hourly_symbolid_max_enddate e ON psh.enddate = e.enddate AND psh.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 GROUP BY dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, psh.hour, (psh.ave - psh.stddev / 2.0), psh.ave, (psh.ave + psh.stddev / 2.0), psh.enddate, dtt.absolutetimezoneoffset, dtt.timezone, ee.timezone, ee.mon_t1start, ee.mon_t1end ORDER BY hour ASC;Times Reported Time consuming prepare #3
Day Hour Count Duration Avg duration 10 2 123ms 61ms 11 1 50ms 50ms 12 2 174ms 87ms [ User: postgres - Total duration: 423ms - Times executed: 5 ]
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SELECT dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, hour, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend, (psh.ave - psh.stddev / 2.0) AS low, psh.ave, (psh.ave + psh.stddev / 2.0) AS high, psh.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM brokersymbollist bsl INNER JOIN powerstats_symboldata psd ON bsl.symbolid = psd.symbolid 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 exchanges ee on ee.exchange = s.exchange INNER JOIN mat_ps_hourly_symbolid_max_enddate e ON psh.enddate = e.enddate AND psh.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 GROUP BY dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, psh.hour, (psh.ave - psh.stddev / 2.0), psh.ave, (psh.ave + psh.stddev / 2.0), psh.enddate, dtt.absolutetimezoneoffset, dtt.timezone, ee.timezone, ee.mon_t1start, ee.mon_t1end ORDER BY hour ASC;
Date: 2022-03-31 12:08:38 Duration: 105ms Database: postgres User: acaweb_fx Remote: postgres
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SELECT dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, hour, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend, (psh.ave - psh.stddev / 2.0) AS low, psh.ave, (psh.ave + psh.stddev / 2.0) AS high, psh.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM brokersymbollist bsl INNER JOIN powerstats_symboldata psd ON bsl.symbolid = psd.symbolid 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 exchanges ee on ee.exchange = s.exchange INNER JOIN mat_ps_hourly_symbolid_max_enddate e ON psh.enddate = e.enddate AND psh.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 GROUP BY dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, psh.hour, (psh.ave - psh.stddev / 2.0), psh.ave, (psh.ave + psh.stddev / 2.0), psh.enddate, dtt.absolutetimezoneoffset, dtt.timezone, ee.timezone, ee.mon_t1start, ee.mon_t1end ORDER BY hour ASC;
Date: 2022-03-31 12:05:50 Duration: 68ms Database: postgres User: acaweb_fx Remote: postgres
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SELECT dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, hour, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend, (psh.ave - psh.stddev / 2.0) AS low, psh.ave, (psh.ave + psh.stddev / 2.0) AS high, psh.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM brokersymbollist bsl INNER JOIN powerstats_symboldata psd ON bsl.symbolid = psd.symbolid 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 exchanges ee on ee.exchange = s.exchange INNER JOIN mat_ps_hourly_symbolid_max_enddate e ON psh.enddate = e.enddate AND psh.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 GROUP BY dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, psh.hour, (psh.ave - psh.stddev / 2.0), psh.ave, (psh.ave + psh.stddev / 2.0), psh.enddate, dtt.absolutetimezoneoffset, dtt.timezone, ee.timezone, ee.mon_t1start, ee.mon_t1end ORDER BY hour ASC;
Date: 2022-03-31 10:05:25 Duration: 65ms Database: postgres User: acaweb_fx Remote: postgres
4 324ms 5 58ms 68ms 64ms SELECT DISTINCT dss.downloadersymbol, pssd.symbolid, s.symbol, s.longname, s.exchange, day, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, (pssd.ave - pssd.stddev / 2.0) AS low, pssd.ave, (pssd.ave + pssd.stddev / 2.0) AS high, pssd.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM powerstats_daily pssd INNER JOIN downloadersymbolsettings dss ON pssd.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN powerstats_symboldata psd ON psd.DailySymbolID = pssd.symbolid INNER JOIN symbols s ON psd.DailySymbolID = s.symbolid and s.symbolid = dss.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN exchanges ee on s.exchange = ee.exchange INNER JOIN mat_ps_daily_symbolid_max_enddate e ON pssd.enddate = e.enddate AND pssd.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 ORDER BY day ASC;Times Reported Time consuming prepare #4
Day Hour Count Duration Avg duration 09 1 66ms 66ms 10 3 189ms 63ms 12 1 68ms 68ms [ User: postgres - Total duration: 591ms - Times executed: 5 ]
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SELECT DISTINCT dss.downloadersymbol, pssd.symbolid, s.symbol, s.longname, s.exchange, day, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, (pssd.ave - pssd.stddev / 2.0) AS low, pssd.ave, (pssd.ave + pssd.stddev / 2.0) AS high, pssd.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM powerstats_daily pssd INNER JOIN downloadersymbolsettings dss ON pssd.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN powerstats_symboldata psd ON psd.DailySymbolID = pssd.symbolid INNER JOIN symbols s ON psd.DailySymbolID = s.symbolid and s.symbolid = dss.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN exchanges ee on s.exchange = ee.exchange INNER JOIN mat_ps_daily_symbolid_max_enddate e ON pssd.enddate = e.enddate AND pssd.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 ORDER BY day ASC;
Date: 2022-03-31 12:05:50 Duration: 68ms Database: postgres User: acaweb_fx Remote: postgres
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SELECT DISTINCT dss.downloadersymbol, pssd.symbolid, s.symbol, s.longname, s.exchange, day, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, (pssd.ave - pssd.stddev / 2.0) AS low, pssd.ave, (pssd.ave + pssd.stddev / 2.0) AS high, pssd.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM powerstats_daily pssd INNER JOIN downloadersymbolsettings dss ON pssd.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN powerstats_symboldata psd ON psd.DailySymbolID = pssd.symbolid INNER JOIN symbols s ON psd.DailySymbolID = s.symbolid and s.symbolid = dss.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN exchanges ee on s.exchange = ee.exchange INNER JOIN mat_ps_daily_symbolid_max_enddate e ON pssd.enddate = e.enddate AND pssd.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 ORDER BY day ASC;
Date: 2022-03-31 09:59:31 Duration: 66ms Database: postgres User: acaweb_fx Remote: postgres
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SELECT DISTINCT dss.downloadersymbol, pssd.symbolid, s.symbol, s.longname, s.exchange, day, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, (pssd.ave - pssd.stddev / 2.0) AS low, pssd.ave, (pssd.ave + pssd.stddev / 2.0) AS high, pssd.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM powerstats_daily pssd INNER JOIN downloadersymbolsettings dss ON pssd.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN powerstats_symboldata psd ON psd.DailySymbolID = pssd.symbolid INNER JOIN symbols s ON psd.DailySymbolID = s.symbolid and s.symbolid = dss.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN exchanges ee on s.exchange = ee.exchange INNER JOIN mat_ps_daily_symbolid_max_enddate e ON pssd.enddate = e.enddate AND pssd.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 ORDER BY day ASC;
Date: 2022-03-31 10:51:34 Duration: 66ms Database: postgres User: acaweb_fx Remote: postgres
5 315ms 5 51ms 89ms 63ms with wh_patitioned as ( select row_number() over (partition by symbol, a.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset as timezoneoffset, ar.patternlengthbars as length, ar.patternquality as quality FROM whatshot_probability whp INNER JOIN autochartist_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_autochartist_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $1 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $2 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $3) AND interval >= 60 AND percent >= 60 AND type = 'cp' and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a ), wh_patitioned2 as ( select row_number() over (partition by symbol, a2.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $4 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $5 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $6) AND interval >= 60 AND percent >= 60 AND type = 'kl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a2 ), wh_patitioned3 as ( select row_number() over (partition by symbol, a3.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, patternprice as predictionpricefrom, patternprice as predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $7 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $8 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $9) AND interval >= 60 AND percent >= 60 AND type = 'ekl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a3 ) select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, timezoneoffset, length, quality from wh_patitioned where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned2 where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned3 where rn = 1;Times Reported Time consuming prepare #5
Day Hour Count Duration Avg duration 10 3 193ms 64ms 12 2 122ms 61ms [ User: postgres - Total duration: 1s763ms - Times executed: 5 ]
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with wh_patitioned as ( select row_number() over (partition by symbol, a.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset as timezoneoffset, ar.patternlengthbars as length, ar.patternquality as quality FROM whatshot_probability whp INNER JOIN autochartist_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_autochartist_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $1 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $2 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $3) AND interval >= 60 AND percent >= 60 AND type = 'cp' and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a ), wh_patitioned2 as ( select row_number() over (partition by symbol, a2.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $4 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $5 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $6) AND interval >= 60 AND percent >= 60 AND type = 'kl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a2 ), wh_patitioned3 as ( select row_number() over (partition by symbol, a3.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, patternprice as predictionpricefrom, patternprice as predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $7 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $8 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $9) AND interval >= 60 AND percent >= 60 AND type = 'ekl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a3 ) select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, timezoneoffset, length, quality from wh_patitioned where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned2 where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned3 where rn = 1;
Date: 2022-03-31 10:00:59 Duration: 89ms Database: postgres User: acaweb_fx Remote: postgres
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with wh_patitioned as ( select row_number() over (partition by symbol, a.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset as timezoneoffset, ar.patternlengthbars as length, ar.patternquality as quality FROM whatshot_probability whp INNER JOIN autochartist_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_autochartist_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $1 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $2 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $3) AND interval >= 60 AND percent >= 60 AND type = 'cp' and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a ), wh_patitioned2 as ( select row_number() over (partition by symbol, a2.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $4 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $5 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $6) AND interval >= 60 AND percent >= 60 AND type = 'kl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a2 ), wh_patitioned3 as ( select row_number() over (partition by symbol, a3.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, patternprice as predictionpricefrom, patternprice as predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $7 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $8 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $9) AND interval >= 60 AND percent >= 60 AND type = 'ekl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a3 ) select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, timezoneoffset, length, quality from wh_patitioned where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned2 where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned3 where rn = 1;
Date: 2022-03-31 12:29:01 Duration: 70ms Database: postgres User: acaweb_fx Remote: postgres
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with wh_patitioned as ( select row_number() over (partition by symbol, a.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset as timezoneoffset, ar.patternlengthbars as length, ar.patternquality as quality FROM whatshot_probability whp INNER JOIN autochartist_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_autochartist_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $1 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $2 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $3) AND interval >= 60 AND percent >= 60 AND type = 'cp' and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a ), wh_patitioned2 as ( select row_number() over (partition by symbol, a2.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $4 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $5 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $6) AND interval >= 60 AND percent >= 60 AND type = 'kl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a2 ), wh_patitioned3 as ( select row_number() over (partition by symbol, a3.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, patternprice as predictionpricefrom, patternprice as predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $7 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $8 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $9) AND interval >= 60 AND percent >= 60 AND type = 'ekl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a3 ) select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, timezoneoffset, length, quality from wh_patitioned where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned2 where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned3 where rn = 1;
Date: 2022-03-31 10:52:42 Duration: 52ms Database: postgres User: acaweb_fx Remote: postgres
6 262ms 4 52ms 80ms 65ms SELECT (cast(substring(tz.gmoffset from 1 for 3) as float) * 60 + cast(substring(tz.gmoffset from 5 for 2) as float)) / 60 as offset FROM timezones tz WHERE tz.timezone = $1;Times Reported Time consuming prepare #6
Day Hour Count Duration Avg duration 10 2 129ms 64ms 12 2 132ms 66ms [ User: postgres - Total duration: 1s716ms - Times executed: 4 ]
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SELECT (cast(substring(tz.gmoffset from 1 for 3) as float) * 60 + cast(substring(tz.gmoffset from 5 for 2) as float)) / 60 as offset FROM timezones tz WHERE tz.timezone = $1;
Date: 2022-03-31 11:59:59 Duration: 80ms Database: postgres User: acaweb_fx Remote: postgres
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SELECT (cast(substring(tz.gmoffset from 1 for 3) as float) * 60 + cast(substring(tz.gmoffset from 5 for 2) as float)) / 60 as offset FROM timezones tz WHERE tz.timezone = $1;
Date: 2022-03-31 10:05:19 Duration: 65ms Database: postgres User: acaweb_fx Remote: postgres
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SELECT (cast(substring(tz.gmoffset from 1 for 3) as float) * 60 + cast(substring(tz.gmoffset from 5 for 2) as float)) / 60 as offset FROM timezones tz WHERE tz.timezone = $1;
Date: 2022-03-31 10:03:42 Duration: 64ms Database: postgres User: acaweb_fx Remote: postgres
7 248ms 4 52ms 69ms 62ms 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 #7
Day Hour Count Duration Avg duration 09 1 69ms 69ms 10 1 63ms 63ms 12 2 115ms 57ms [ User: postgres - Total duration: 1s427ms - Times executed: 4 ]
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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: 2022-03-31 09:55:21 Duration: 69ms Database: postgres User: acaweb_fx Remote: 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: 2022-03-31 10:05:09 Duration: 63ms Database: postgres User: acaweb_fx Remote: 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: 2022-03-31 12:36:30 Duration: 63ms Database: postgres User: acaweb_fx Remote: postgres
8 80ms 1 80ms 80ms 80ms with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;Times Reported Time consuming prepare #8
Day Hour Count Duration Avg duration 12 1 80ms 80ms [ User: postgres - Total duration: 3s880ms - Times executed: 1 ]
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with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;
Date: 2022-03-31 12:10:02 Duration: 80ms Database: postgres User: acaweb_fx Remote: postgres
9 78ms 1 78ms 78ms 78ms SELECT brokerid, NAME, emailstylesheet, maketradeurl, biglogofilename, smalllogofilename, url, wwwstylesheet, defaultgroupid, pricecolour, supportcolour, resistancecolour, predictioncolour, volumecolour, fromemail, allowedredir, charttype, userauth, backgroundcolour, axiscolour, textcolour, showxlabel, showylabel, eoddateformat, intradaydateformat, candleupclosecolour, candledownclosecolour, satellite FROM broker WHERE brokerid = $1;Times Reported Time consuming prepare #9
Day Hour Count Duration Avg duration 11 1 78ms 78ms [ User: postgres - Total duration: 95ms - Times executed: 1 ]
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SELECT brokerid, NAME, emailstylesheet, maketradeurl, biglogofilename, smalllogofilename, url, wwwstylesheet, defaultgroupid, pricecolour, supportcolour, resistancecolour, predictioncolour, volumecolour, fromemail, allowedredir, charttype, userauth, backgroundcolour, axiscolour, textcolour, showxlabel, showylabel, eoddateformat, intradaydateformat, candleupclosecolour, candledownclosecolour, satellite FROM broker WHERE brokerid = $1;
Date: 2022-03-31 11:33:22 Duration: 78ms Database: postgres User: acaweb_fx Remote: postgres
10 63ms 1 63ms 63ms 63ms /*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, 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, 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, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 3530 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice = - 1 AND a.resultuid > 73782790 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;Times Reported Time consuming prepare #10
Day Hour Count Duration Avg duration 05 1 63ms 63ms [ User: postgres - Total duration: 84ms - Times executed: 1 ]
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, 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, 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, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 3530 AND patternlengthbars >= 20 AND averagequality >= 0.0 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND PatternEndPrice = - 1 AND a.resultuid > 73782790 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-03-31 05:39:28 Duration: 63ms Database: postgres User: acaweb_fx Remote: postgres
11 55ms 1 55ms 55ms 55ms SELECT tl.timezone langTimezone, t.timezone as timezone, (cast(substring(t.gmoffset, 0, 4) as double precision) * 60 + cast(substring(t.gmoffset, 5, 2) as double precision)) / 60 as gmoffset FROM timezones_en_GB tl INNER JOIN timezones t ON tl.timezoneid = t.timezoneid ORDER BY t.timezone;Times Reported Time consuming prepare #11
Day Hour Count Duration Avg duration 12 1 55ms 55ms [ User: postgres - Total duration: 118ms - Times executed: 1 ]
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SELECT tl.timezone langTimezone, t.timezone as timezone, (cast(substring(t.gmoffset, 0, 4) as double precision) * 60 + cast(substring(t.gmoffset, 5, 2) as double precision)) / 60 as gmoffset FROM timezones_en_GB tl INNER JOIN timezones t ON tl.timezoneid = t.timezoneid ORDER BY t.timezone;
Date: 2022-03-31 12:24:02 Duration: 55ms Database: postgres User: acaweb_fx Remote: postgres
12 54ms 1 54ms 54ms 54ms /*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, 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, 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, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND (((symbol ilike '%euacad%' AND timegranularity <= 1440);Times Reported Time consuming prepare #12
Day Hour Count Duration Avg duration 10 1 54ms 54ms [ User: postgres - Total duration: 51ms - Times executed: 1 ]
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, 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, 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, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND (((symbol ilike '%euacad%' AND timegranularity <= 1440);
Date: 2022-03-31 10:09:17 Duration: 54ms Database: postgres User: acaweb_fx Remote: postgres
13 52ms 1 52ms 52ms 52ms /*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 515852059891787308 AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 516120236863260301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;Times Reported Time consuming prepare #13
Day Hour Count Duration Avg duration 20 1 52ms 52ms [ User: postgres - Total duration: 50ms - Times executed: 1 ]
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 515852059891787308 AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 516120236863260301 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 20:15:34 Duration: 52ms Database: postgres User: acaweb_fx Remote: postgres
14 52ms 1 52ms 52ms 52ms /*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, 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, 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, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((symbol ilike '%usdcad%' AND timegranularity = 1440);Times Reported Time consuming prepare #14
Day Hour Count Duration Avg duration 08 1 52ms 52ms [ User: postgres - Total duration: 53ms - Times executed: 1 ]
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, 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, 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, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((symbol ilike '%usdcad%' AND timegranularity = 1440);
Date: 2022-03-31 08:42:55 Duration: 52ms Database: postgres User: acaweb_fx Remote: postgres
Time consuming bind
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 11s499ms 115 50ms 315ms 99ms WITH rar_max as ( ;Times Reported Time consuming bind #1
Day Hour Count Duration Avg duration Mar 31 02 3 168ms 56ms 04 2 109ms 54ms 05 2 118ms 59ms 06 6 342ms 57ms 08 1 93ms 93ms 09 31 2s439ms 78ms 10 22 2s933ms 133ms 11 23 2s314ms 100ms 12 21 2s770ms 131ms 13 1 50ms 50ms 16 2 107ms 53ms 23 1 50ms 50ms [ User: postgres - Total duration: 18m21s - Times executed: 115 ]
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WITH rar_max as ( ;
Date: 2022-03-31 11:06:47 Duration: 315ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '538', $2 = '7', $3 = '15', $4 = '30', $5 = '60', $6 = '120', $7 = '240', $8 = '480', $9 = '1440', $10 = '0', $11 = '', $12 = '11', $13 = 'EURUSD', $14 = 'USDJPY', $15 = 'GBPUSD', $16 = 'GBPJPY', $17 = 'AUDUSD', $18 = 'EURJPY', $19 = 'USDCAD', $20 = 'EURGBP', $21 = 'XAUUSD', $22 = 'UKOIL', $23 = 'USOIL', $24 = '400', $25 = '400', $26 = 't', $27 = '10', $28 = '10'
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WITH rar_max as ( ;
Date: 2022-03-31 10:52:17 Duration: 257ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '700', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '0', $10 = 't', $11 = '0', $12 = '0'
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WITH rar_max as ( ;
Date: 2022-03-31 10:07:22 Duration: 247ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '622', $2 = '0', $3 = '0', $4 = '0', $5 = '', $6 = '0', $7 = '', $8 = '0', $9 = '0', $10 = 't', $11 = '0', $12 = '0'
2 10s522ms 51 50ms 607ms 206ms with wh_patitioned as ( select row_number() over (partition by symbol, a.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset as timezoneoffset, ar.patternlengthbars as length, ar.patternquality as quality FROM whatshot_probability whp INNER JOIN autochartist_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_autochartist_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $1 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $2 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $3) AND interval >= 60 AND percent >= 60 AND type = 'cp' and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a ), wh_patitioned2 as ( select row_number() over (partition by symbol, a2.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $4 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $5 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $6) AND interval >= 60 AND percent >= 60 AND type = 'kl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a2 ), wh_patitioned3 as ( select row_number() over (partition by symbol, a3.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, patternprice as predictionpricefrom, patternprice as predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $7 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $8 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $9) AND interval >= 60 AND percent >= 60 AND type = 'ekl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a3 ) select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, timezoneoffset, length, quality from wh_patitioned where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned2 where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned3 where rn = 1;Times Reported Time consuming bind #2
Day Hour Count Duration Avg duration 02 1 57ms 57ms 03 1 62ms 62ms 06 2 115ms 57ms 07 2 105ms 52ms 08 1 91ms 91ms 09 7 1s193ms 170ms 10 14 2s665ms 190ms 11 14 3s335ms 238ms 12 7 2s763ms 394ms 13 2 130ms 65ms [ User: postgres - Total duration: 12s841ms - Times executed: 51 ]
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with wh_patitioned as ( select row_number() over (partition by symbol, a.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset as timezoneoffset, ar.patternlengthbars as length, ar.patternquality as quality FROM whatshot_probability whp INNER JOIN autochartist_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_autochartist_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $1 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $2 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $3) AND interval >= 60 AND percent >= 60 AND type = 'cp' and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a ), wh_patitioned2 as ( select row_number() over (partition by symbol, a2.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $4 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $5 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $6) AND interval >= 60 AND percent >= 60 AND type = 'kl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a2 ), wh_patitioned3 as ( select row_number() over (partition by symbol, a3.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, patternprice as predictionpricefrom, patternprice as predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $7 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $8 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $9) AND interval >= 60 AND percent >= 60 AND type = 'ekl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a3 ) select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, timezoneoffset, length, quality from wh_patitioned where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned2 where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned3 where rn = 1;
Date: 2022-03-31 12:29:02 Duration: 607ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '665', $2 = '665', $3 = '665', $4 = '665', $5 = '665', $6 = '665', $7 = '665', $8 = '665', $9 = '665'
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with wh_patitioned as ( select row_number() over (partition by symbol, a.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset as timezoneoffset, ar.patternlengthbars as length, ar.patternquality as quality FROM whatshot_probability whp INNER JOIN autochartist_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_autochartist_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $1 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $2 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $3) AND interval >= 60 AND percent >= 60 AND type = 'cp' and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a ), wh_patitioned2 as ( select row_number() over (partition by symbol, a2.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $4 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $5 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $6) AND interval >= 60 AND percent >= 60 AND type = 'kl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a2 ), wh_patitioned3 as ( select row_number() over (partition by symbol, a3.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, patternprice as predictionpricefrom, patternprice as predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $7 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $8 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $9) AND interval >= 60 AND percent >= 60 AND type = 'ekl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a3 ) select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, timezoneoffset, length, quality from wh_patitioned where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned2 where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned3 where rn = 1;
Date: 2022-03-31 12:29:02 Duration: 547ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '665', $2 = '665', $3 = '665', $4 = '665', $5 = '665', $6 = '665', $7 = '665', $8 = '665', $9 = '665'
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with wh_patitioned as ( select row_number() over (partition by symbol, a.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset as timezoneoffset, ar.patternlengthbars as length, ar.patternquality as quality FROM whatshot_probability whp INNER JOIN autochartist_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_autochartist_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $1 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $2 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $3) AND interval >= 60 AND percent >= 60 AND type = 'cp' and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a ), wh_patitioned2 as ( select row_number() over (partition by symbol, a2.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $4 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $5 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $6) AND interval >= 60 AND percent >= 60 AND type = 'kl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a2 ), wh_patitioned3 as ( select row_number() over (partition by symbol, a3.basegroupname order by resultuid desc) as rn, * from ( SELECT whp.resultuid, g.basegroupname, type, whid, whp.exchange, whp.symbol, patternname, whp.direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime + (interval || ' minutes')::interval as patternendtime, patternprice as predictionpricefrom, patternprice as predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, rar.age, dftt.timezone, dftt.absolutetimezoneoffset, ar.patternlengthbars as length, ar.qtytp as quality FROM whatshot_probability whp INNER JOIN keylevels_results ar ON whp.resultuid = ar.resultuid INNER JOIN relevance_keylevels_results rar ON ar.resultuid = rar.resultuid INNER JOIN downloadersymbolsettings dss ON ar.symbolid = dss.symbolid INNER JOIN datafeedstimetable dftt ON dss.classname = dftt.classname INNER JOIN symbols s on whp.symbolid = s.symbolid INNER JOIN symbolgroup sg on s.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN whatshot_groups whg ON whg.groupid = g.groupid INNER JOIN brokersymbollist bsl ON bsl.symbolid = sg.symbolid AND bsl.brokerid = $7 INNER JOIN brokergroups bg ON bg.groupid = sg.groupid AND bg.brokerid = $8 WHERE whid = ( SELECT MAX(whid) FROM whatshot WHERE brokerid = $9) AND interval >= 60 AND percent >= 60 AND type = 'ekl' AND rar.relevant = 1 AND rar.age <= 10 and s.nonliquid = 0 and s.deleted = 0 and dss.enabled = 1 and dftt.dayofweek = 3) a3 ) select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, timezoneoffset, length, quality from wh_patitioned where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned2 where rn = 1 UNION ALL select resultuid, basegroupname, type, whid, exchange, symbol, patternname, direction, hod, interval, symbol_percent, pattern_percent, hod_percent, percent, new, patternendtime, predictionpricefrom, predictionpriceto, pattern_correct, pattern_total, hod_correct, hod_total, symbol_correct, symbol_total, age, timezone, absolutetimezoneoffset, length, quality from wh_patitioned3 where rn = 1;
Date: 2022-03-31 11:05:56 Duration: 515ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '529', $2 = '529', $3 = '529', $4 = '529', $5 = '529', $6 = '529', $7 = '529', $8 = '529', $9 = '529'
3 10s29ms 104 58ms 458ms 96ms with sym_info as ( ;Times Reported Time consuming bind #3
Day Hour Count Duration Avg duration 00 12 859ms 71ms 01 15 1s37ms 69ms 02 9 632ms 70ms 03 8 681ms 85ms 04 4 334ms 83ms 05 6 597ms 99ms 06 3 263ms 87ms 07 4 332ms 83ms 08 6 584ms 97ms 09 6 719ms 119ms 10 8 1s205ms 150ms 11 7 1s9ms 144ms 12 5 858ms 171ms 13 3 230ms 76ms 14 4 264ms 66ms 15 1 59ms 59ms 21 1 233ms 233ms 22 2 126ms 63ms [ User: postgres - Total duration: 34s746ms - Times executed: 104 ]
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with sym_info as ( ;
Date: 2022-03-31 12:35:51 Duration: 458ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '617', $2 = 'Forex', $3 = 'Forex', $4 = '617', $5 = 'Forex', $6 = '617', $7 = '617', $8 = 'Forex'
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with sym_info as ( ;
Date: 2022-03-31 10:57:13 Duration: 353ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '620', $2 = 'Forex', $3 = 'Forex', $4 = '620', $5 = 'Forex', $6 = '620', $7 = '620', $8 = 'Forex'
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with sym_info as ( ;
Date: 2022-03-31 11:35:56 Duration: 321ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '617', $2 = 'Forex', $3 = 'Forex', $4 = '617', $5 = 'Forex', $6 = '617', $7 = '617', $8 = 'Forex'
4 5s348ms 17 66ms 631ms 314ms SELECT DISTINCT dss.downloadersymbol, pssd.symbolid, s.symbol, s.longname, s.exchange, day, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, (pssd.ave - pssd.stddev / 2.0) AS low, pssd.ave, (pssd.ave + pssd.stddev / 2.0) AS high, pssd.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM powerstats_daily pssd INNER JOIN downloadersymbolsettings dss ON pssd.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN powerstats_symboldata psd ON psd.DailySymbolID = pssd.symbolid INNER JOIN symbols s ON psd.DailySymbolID = s.symbolid and s.symbolid = dss.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN exchanges ee on s.exchange = ee.exchange INNER JOIN mat_ps_daily_symbolid_max_enddate e ON pssd.enddate = e.enddate AND pssd.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 ORDER BY day ASC;Times Reported Time consuming bind #4
Day Hour Count Duration Avg duration 03 1 131ms 131ms 09 2 921ms 460ms 10 4 1s590ms 397ms 11 6 1s41ms 173ms 12 4 1s663ms 415ms [ User: postgres - Total duration: 5s692ms - Times executed: 17 ]
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SELECT DISTINCT dss.downloadersymbol, pssd.symbolid, s.symbol, s.longname, s.exchange, day, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, (pssd.ave - pssd.stddev / 2.0) AS low, pssd.ave, (pssd.ave + pssd.stddev / 2.0) AS high, pssd.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM powerstats_daily pssd INNER JOIN downloadersymbolsettings dss ON pssd.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN powerstats_symboldata psd ON psd.DailySymbolID = pssd.symbolid INNER JOIN symbols s ON psd.DailySymbolID = s.symbolid and s.symbolid = dss.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN exchanges ee on s.exchange = ee.exchange INNER JOIN mat_ps_daily_symbolid_max_enddate e ON pssd.enddate = e.enddate AND pssd.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 ORDER BY day ASC;
Date: 2022-03-31 09:55:46 Duration: 631ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1019634', $2 = '660'
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SELECT DISTINCT dss.downloadersymbol, pssd.symbolid, s.symbol, s.longname, s.exchange, day, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, (pssd.ave - pssd.stddev / 2.0) AS low, pssd.ave, (pssd.ave + pssd.stddev / 2.0) AS high, pssd.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM powerstats_daily pssd INNER JOIN downloadersymbolsettings dss ON pssd.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN powerstats_symboldata psd ON psd.DailySymbolID = pssd.symbolid INNER JOIN symbols s ON psd.DailySymbolID = s.symbolid and s.symbolid = dss.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN exchanges ee on s.exchange = ee.exchange INNER JOIN mat_ps_daily_symbolid_max_enddate e ON pssd.enddate = e.enddate AND pssd.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 ORDER BY day ASC;
Date: 2022-03-31 12:16:35 Duration: 604ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1019634', $2 = '660'
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SELECT DISTINCT dss.downloadersymbol, pssd.symbolid, s.symbol, s.longname, s.exchange, day, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, (pssd.ave - pssd.stddev / 2.0) AS low, pssd.ave, (pssd.ave + pssd.stddev / 2.0) AS high, pssd.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM powerstats_daily pssd INNER JOIN downloadersymbolsettings dss ON pssd.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN powerstats_symboldata psd ON psd.DailySymbolID = pssd.symbolid INNER JOIN symbols s ON psd.DailySymbolID = s.symbolid and s.symbolid = dss.symbolid INNER JOIN brokersymbollist bsl ON s.symbolid = bsl.symbolid INNER JOIN exchanges ee on s.exchange = ee.exchange INNER JOIN mat_ps_daily_symbolid_max_enddate e ON pssd.enddate = e.enddate AND pssd.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 ORDER BY day ASC;
Date: 2022-03-31 10:01:54 Duration: 472ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '986695', $2 = '558'
5 4s46ms 12 94ms 626ms 337ms SELECT dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, hour, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend, (psh.ave - psh.stddev / 2.0) AS low, psh.ave, (psh.ave + psh.stddev / 2.0) AS high, psh.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM brokersymbollist bsl INNER JOIN powerstats_symboldata psd ON bsl.symbolid = psd.symbolid 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 exchanges ee on ee.exchange = s.exchange INNER JOIN mat_ps_hourly_symbolid_max_enddate e ON psh.enddate = e.enddate AND psh.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 GROUP BY dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, psh.hour, (psh.ave - psh.stddev / 2.0), psh.ave, (psh.ave + psh.stddev / 2.0), psh.enddate, dtt.absolutetimezoneoffset, dtt.timezone, ee.timezone, ee.mon_t1start, ee.mon_t1end ORDER BY hour ASC;Times Reported Time consuming bind #5
Day Hour Count Duration Avg duration 03 1 94ms 94ms 10 3 1s543ms 514ms 11 5 1s270ms 254ms 12 3 1s137ms 379ms [ User: postgres - Total duration: 1s137ms - Times executed: 12 ]
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SELECT dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, hour, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend, (psh.ave - psh.stddev / 2.0) AS low, psh.ave, (psh.ave + psh.stddev / 2.0) AS high, psh.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM brokersymbollist bsl INNER JOIN powerstats_symboldata psd ON bsl.symbolid = psd.symbolid 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 exchanges ee on ee.exchange = s.exchange INNER JOIN mat_ps_hourly_symbolid_max_enddate e ON psh.enddate = e.enddate AND psh.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 GROUP BY dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, psh.hour, (psh.ave - psh.stddev / 2.0), psh.ave, (psh.ave + psh.stddev / 2.0), psh.enddate, dtt.absolutetimezoneoffset, dtt.timezone, ee.timezone, ee.mon_t1start, ee.mon_t1end ORDER BY hour ASC;
Date: 2022-03-31 10:01:54 Duration: 626ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '986695', $2 = '558'
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SELECT dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, hour, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend, (psh.ave - psh.stddev / 2.0) AS low, psh.ave, (psh.ave + psh.stddev / 2.0) AS high, psh.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM brokersymbollist bsl INNER JOIN powerstats_symboldata psd ON bsl.symbolid = psd.symbolid 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 exchanges ee on ee.exchange = s.exchange INNER JOIN mat_ps_hourly_symbolid_max_enddate e ON psh.enddate = e.enddate AND psh.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 GROUP BY dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, psh.hour, (psh.ave - psh.stddev / 2.0), psh.ave, (psh.ave + psh.stddev / 2.0), psh.enddate, dtt.absolutetimezoneoffset, dtt.timezone, ee.timezone, ee.mon_t1start, ee.mon_t1end ORDER BY hour ASC;
Date: 2022-03-31 12:05:51 Duration: 609ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '986695', $2 = '558'
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SELECT dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, hour, ee.timezone as exchangetimezone, ee.mon_t1start as exchangestart, ee.mon_t1end as exchangeend, (psh.ave - psh.stddev / 2.0) AS low, psh.ave, (psh.ave + psh.stddev / 2.0) AS high, psh.enddate, dtt.absolutetimezoneoffset datafeedtimezoneoffset, dtt.timezone datafeedtimezonename FROM brokersymbollist bsl INNER JOIN powerstats_symboldata psd ON bsl.symbolid = psd.symbolid 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 exchanges ee on ee.exchange = s.exchange INNER JOIN mat_ps_hourly_symbolid_max_enddate e ON psh.enddate = e.enddate AND psh.symbolid = e.symbolid WHERE psd.symbolid = $1 AND bsl.brokerid = $2 AND dtt.dayofweek = 3 GROUP BY dss.downloadersymbol, psh.symbolid, s.symbol, s.longname, s.exchange, psh.hour, (psh.ave - psh.stddev / 2.0), psh.ave, (psh.ave + psh.stddev / 2.0), psh.enddate, dtt.absolutetimezoneoffset, dtt.timezone, ee.timezone, ee.mon_t1start, ee.mon_t1end ORDER BY hour ASC;
Date: 2022-03-31 10:05:26 Duration: 494ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '986695', $2 = '558'
6 2s86ms 16 52ms 276ms 130ms 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 #6
Day Hour Count Duration Avg duration 09 3 464ms 154ms 10 4 634ms 158ms 11 4 468ms 117ms 12 5 519ms 103ms [ User: postgres - Total duration: 5s175ms - Times executed: 16 ]
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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: 2022-03-31 10:01:02 Duration: 276ms Database: postgres User: acaweb_fx Remote: 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: 2022-03-31 09:59:01 Duration: 178ms Database: postgres User: acaweb_fx Remote: 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: 2022-03-31 09:55:21 Duration: 171ms Database: postgres User: acaweb_fx Remote: postgres
7 1s422ms 11 65ms 228ms 129ms with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;Times Reported Time consuming bind #7
Day Hour Count Duration Avg duration 10 1 204ms 204ms 11 5 472ms 94ms 12 5 745ms 149ms [ User: postgres - Total duration: 28s29ms - Times executed: 11 ]
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with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;
Date: 2022-03-31 12:10:02 Duration: 228ms Database: postgres User: acaweb_fx Remote: postgres
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with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;
Date: 2022-03-31 10:00:02 Duration: 204ms Database: postgres User: acaweb_fx Remote: postgres
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with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;
Date: 2022-03-31 12:30:02 Duration: 169ms Database: postgres User: acaweb_fx Remote: postgres
8 927ms 11 52ms 170ms 84ms SELECT ;Times Reported Time consuming bind #8
Day Hour Count Duration Avg duration 09 1 72ms 72ms 10 1 67ms 67ms 11 7 641ms 91ms 12 2 145ms 72ms [ User: postgres - Total duration: 12s534ms - Times executed: 11 ]
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SELECT ;
Date: 2022-03-31 11:46:51 Duration: 170ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1016291', $2 = '4', $3 = '4', $4 = '540'
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SELECT ;
Date: 2022-03-31 11:02:17 Duration: 140ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1016295'
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SELECT ;
Date: 2022-03-31 11:52:12 Duration: 102ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '982365', $2 = '4', $3 = '4', $4 = '540'
9 779ms 14 50ms 77ms 55ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059709228308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #9
Day Hour Count Duration Avg duration 15 2 112ms 56ms 16 3 183ms 61ms 17 1 55ms 55ms 18 5 272ms 54ms 19 2 102ms 51ms 22 1 52ms 52ms [ User: postgres - Total duration: 1s27ms - Times executed: 14 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059709228308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 16:19:19 Duration: 77ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1059792055', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059709228308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 15:51:18 Duration: 58ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-1080351369', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059709228308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 18:19:22 Duration: 56ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1059792055', $7 = '0'
10 707ms 8 59ms 152ms 88ms 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 OUTER JOIN brokerinstrumentmapping bdfi ON code = $1 AND bdfi.brokerid = $2 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid LEFT OUTER JOIN symbols s ON dss.symbolid = s.symbolid AND s.symbol = $3 AND s.timegranularity = $4 WHERE (code = $5 OR s.symbol = $6) and bsl.brokerid = $7 AND dss.classname <> $8 GROUP BY trumpetSymbolID, trumpetTimeGranularity;Times Reported Time consuming bind #10
Day Hour Count Duration Avg duration 08 1 59ms 59ms 09 2 208ms 104ms 10 1 70ms 70ms 11 2 139ms 69ms 12 2 229ms 114ms [ User: postgres - Total duration: 1s296ms - Times executed: 8 ]
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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 OUTER JOIN brokerinstrumentmapping bdfi ON code = $1 AND bdfi.brokerid = $2 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid LEFT OUTER JOIN symbols s ON dss.symbolid = s.symbolid AND s.symbol = $3 AND s.timegranularity = $4 WHERE (code = $5 OR s.symbol = $6) and bsl.brokerid = $7 AND dss.classname <> $8 GROUP BY trumpetSymbolID, trumpetTimeGranularity;
Date: 2022-03-31 12:30:15 Duration: 152ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1028571', $2 = '15'
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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 OUTER JOIN brokerinstrumentmapping bdfi ON code = $1 AND bdfi.brokerid = $2 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid LEFT OUTER JOIN symbols s ON dss.symbolid = s.symbolid AND s.symbol = $3 AND s.timegranularity = $4 WHERE (code = $5 OR s.symbol = $6) and bsl.brokerid = $7 AND dss.classname <> $8 GROUP BY trumpetSymbolID, trumpetTimeGranularity;
Date: 2022-03-31 09:53:06 Duration: 132ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = 'EURCAD', $2 = '665', $3 = 'EURCAD', $4 = '30', $5 = 'EURCAD', $6 = 'EURCAD', $7 = '665', $8 = 'IG UNSCALED'
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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 OUTER JOIN brokerinstrumentmapping bdfi ON code = $1 AND bdfi.brokerid = $2 AND dss.datafeedinstrumentid = bdfi.datafeedinstrumentid LEFT OUTER JOIN symbols s ON dss.symbolid = s.symbolid AND s.symbol = $3 AND s.timegranularity = $4 WHERE (code = $5 OR s.symbol = $6) and bsl.brokerid = $7 AND dss.classname <> $8 GROUP BY trumpetSymbolID, trumpetTimeGranularity;
Date: 2022-03-31 11:39:22 Duration: 78ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1019069', $2 = '15'
11 673ms 10 50ms 92ms 67ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 4876 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #11
Day Hour Count Duration Avg duration 00 1 82ms 82ms 04 1 55ms 55ms 05 1 54ms 54ms 07 1 55ms 55ms 09 3 193ms 64ms 10 3 232ms 77ms [ User: postgres - Total duration: 1s97ms - Times executed: 10 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 4876 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 10:06:07 Duration: 92ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '82459365', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 4876 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 09:10:03 Duration: 91ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '82411917', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 4876 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 00:09:50 Duration: 82ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '986742'
12 630ms 4 130ms 201ms 157ms SELECT s.statsid, s.description, s.groupingname FROM stats s LEFT OUTER JOIN stats_summary ss ON ss.statsid = s.statsid WHERE brokerid = $1 AND ss.total > 0 GROUP BY s.statsid, s.description, s.brokerid, s.latestupdate, s.groupingname, s.calcfrom, s.calcto, ss.statsid;Times Reported Time consuming bind #12
Day Hour Count Duration Avg duration 10 1 143ms 143ms 11 1 130ms 130ms 12 2 356ms 178ms [ User: postgres - Total duration: 508ms - Times executed: 4 ]
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SELECT s.statsid, s.description, s.groupingname FROM stats s LEFT OUTER JOIN stats_summary ss ON ss.statsid = s.statsid WHERE brokerid = $1 AND ss.total > 0 GROUP BY s.statsid, s.description, s.brokerid, s.latestupdate, s.groupingname, s.calcfrom, s.calcto, ss.statsid;
Date: 2022-03-31 12:39:58 Duration: 201ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '700'
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SELECT s.statsid, s.description, s.groupingname FROM stats s LEFT OUTER JOIN stats_summary ss ON ss.statsid = s.statsid WHERE brokerid = $1 AND ss.total > 0 GROUP BY s.statsid, s.description, s.brokerid, s.latestupdate, s.groupingname, s.calcfrom, s.calcto, ss.statsid;
Date: 2022-03-31 12:12:08 Duration: 154ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '49'
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SELECT s.statsid, s.description, s.groupingname FROM stats s LEFT OUTER JOIN stats_summary ss ON ss.statsid = s.statsid WHERE brokerid = $1 AND ss.total > 0 GROUP BY s.statsid, s.description, s.brokerid, s.latestupdate, s.groupingname, s.calcfrom, s.calcto, ss.statsid;
Date: 2022-03-31 10:02:48 Duration: 143ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '558'
13 578ms 8 50ms 156ms 72ms with wh_patitioned as ( ;Times Reported Time consuming bind #13
Day Hour Count Duration Avg duration 09 2 102ms 51ms 11 1 156ms 156ms 12 1 81ms 81ms 14 1 51ms 51ms 17 3 187ms 62ms [ User: postgres - Total duration: 6s86ms - Times executed: 8 ]
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with wh_patitioned as ( ;
Date: 2022-03-31 11:54:10 Duration: 156ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '660', $2 = '660', $3 = '660', $4 = '660', $5 = '660', $6 = '660', $7 = '660', $8 = '660', $9 = '660'
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with wh_patitioned as ( ;
Date: 2022-03-31 12:49:02 Duration: 81ms Database: postgres User: acaweb_fx_bigint Remote: postgres parameters: $1 = '529', $2 = '529', $3 = '529', $4 = '529', $5 = '529', $6 = '529', $7 = '529', $8 = '529', $9 = '529'
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with wh_patitioned as ( ;
Date: 2022-03-31 17:27:10 Duration: 76ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = 't', $2 = '572', $3 = '7', $4 = '15', $5 = '30', $6 = '60', $7 = '120', $8 = '240', $9 = '480', $10 = '1440', $11 = '0', $12 = '', $13 = '26', $14 = 'EURUSD', $15 = 'USDJPY', $16 = 'GBPUSD', $17 = 'USDCHF', $18 = 'EURTRY', $19 = 'USDTRY', $20 = 'AUS200', $21 = 'DE30', $22 = 'ES35', $23 = 'F40', $24 = 'HK50', $25 = 'IT40', $26 = 'JP225', $27 = 'STOXX50', $28 = 'UK100', $29 = 'US2000', $30 = 'US30', $31 = 'US500', $32 = 'CHINA50', $33 = 'USTEC', $34 = 'XAGEUR', $35 = 'XAGUSD', $36 = 'XAUUSD', $37 = 'XAUEUR', $38 = 'XPDUSD', $39 = 'XPTUSD', $40 = '0', $41 = '', $42 = '0', $43 = '0', $44 = '0', $45 = '0', $46 = '0', $47 = 't', $48 = '10', $49 = '10'
14 564ms 5 50ms 225ms 112ms SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T240 WHERE symbolid = $1 AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;Times Reported Time consuming bind #14
Day Hour Count Duration Avg duration 09 1 50ms 50ms 10 2 229ms 114ms 12 1 225ms 225ms 13 1 60ms 60ms [ User: postgres - Total duration: 30s140ms - Times executed: 5 ]
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T240 WHERE symbolid = $1 AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 12:41:31 Duration: 225ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1019667'
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T240 WHERE symbolid = $1 AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 10:57:19 Duration: 114ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1002879'
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SELECT * FROM ( SELECT PriceDateTime, Open, High, Low, Close, Volume, BSF FROM T240 WHERE symbolid = $1 AND (BSF = 0 OR BSF IS NULL) ORDER BY PriceDateTime DESC LIMIT 1050) a ORDER BY PriceDateTime ASC;
Date: 2022-03-31 10:57:19 Duration: 114ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '986828'
15 557ms 9 50ms 82ms 61ms /*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 3512 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582635875 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;Times Reported Time consuming bind #15
Day Hour Count Duration Avg duration 09 3 183ms 61ms 10 3 182ms 60ms 12 2 129ms 64ms 20 1 62ms 62ms [ User: postgres - Total duration: 8s652ms - Times executed: 9 ]
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 3512 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582635875 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 09:56:46 Duration: 82ms Database: postgres User: acaweb_fx Remote: postgres
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 3512 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582635875 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 10:24:46 Duration: 70ms Database: postgres User: acaweb_fx Remote: postgres
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 3512 AND breakout = - 1 AND patternlengthbars >= 20 AND patternquality >= 0.3 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582635875 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 12:57:40 Duration: 64ms Database: postgres User: acaweb_fx Remote: postgres
16 539ms 9 50ms 81ms 59ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059715831308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #16
Day Hour Count Duration Avg duration 15 2 114ms 57ms 16 3 168ms 56ms 17 2 120ms 60ms 18 2 135ms 67ms [ User: postgres - Total duration: 703ms - Times executed: 9 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059715831308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 18:11:22 Duration: 81ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1284056007', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059715831308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 17:03:20 Duration: 65ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1839465927', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 515852059715831308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 16:51:19 Duration: 62ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1284056007', $7 = '0'
17 524ms 7 52ms 110ms 74ms /*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 3338 AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 0 AND patternquality >= 0.1 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582612461 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;Times Reported Time consuming bind #17
Day Hour Count Duration Avg duration 10 3 189ms 63ms 11 1 52ms 52ms 12 3 282ms 94ms [ User: postgres - Total duration: 13s69ms - Times executed: 7 ]
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 3338 AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 0 AND patternquality >= 0.1 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582612461 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 12:03:29 Duration: 110ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '982425'
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 3338 AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 0 AND patternquality >= 0.1 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582612461 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 12:15:29 Duration: 107ms Database: postgres User: acaweb_fx Remote: postgres
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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 529 AND sg.groupid = 3338 AND breakout >= 0.0 AND patternendtime = LatestBarAtBreakoutTime AND patternlengthbars >= 0 AND patternquality >= 0.1 AND initialtrend >= 0.0 AND symmetry >= 0.0 AND noise <= 1.0 AND volumeincrease >= 0.0 AND TemporaryPattern = 0 AND PatternID & 65535 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 582612461 AND s.nonliquid = 0 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, PatternQuality DESC LIMIT 50;
Date: 2022-03-31 10:07:26 Duration: 70ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '982370'
18 516ms 9 51ms 72ms 57ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 4882 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #18
Day Hour Count Duration Avg duration 08 2 120ms 60ms 09 4 216ms 54ms 10 2 126ms 63ms 11 1 52ms 52ms [ User: postgres - Total duration: 9s549ms - Times executed: 9 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 4882 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 10:51:39 Duration: 72ms Database: postgres User: acaweb_fx Remote: postgres
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 4882 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 08:20:09 Duration: 67ms Database: postgres User: acaweb_fx Remote: postgres
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 4882 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 09:38:04 Duration: 56ms Database: postgres User: acaweb_fx Remote: postgres
19 514ms 8 51ms 114ms 64ms /*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 515852059892213308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;Times Reported Time consuming bind #19
Day Hour Count Duration Avg duration 14 5 331ms 66ms 15 1 56ms 56ms 17 1 58ms 58ms 21 1 69ms 69ms [ User: postgres - Total duration: 710ms - Times executed: 8 ]
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 515852059892213308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 14:59:24 Duration: 114ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1415538055', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 515852059892213308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 21:05:54 Duration: 69ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-2017925697', $7 = '0'
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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 660 AND sg.groupid = 515852059892213308 AND patternclassid = $1 AND patternlengthbars >= $2 AND a.PatternID & $3 > 0 AND dftt.dayofweek = $4 AND a.qtytp >= $5 AND a.resultuid > $6 AND c.nonliquid = $7 AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;
Date: 2022-03-31 17:07:30 Duration: 58ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '1', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '1740636959', $7 = '0'
20 510ms 7 53ms 116ms 72ms /*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, 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, 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, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 3524 AND patternlengthbars >= 20 AND averagequality >= 0.3 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 73796228 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;Times Reported Time consuming bind #20
Day Hour Count Duration Avg duration 09 4 317ms 79ms 12 1 65ms 65ms 18 1 74ms 74ms 20 1 53ms 53ms [ User: postgres - Total duration: 543ms - Times executed: 7 ]
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, 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, 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, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 3524 AND patternlengthbars >= 20 AND averagequality >= 0.3 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 73796228 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-03-31 09:20:32 Duration: 116ms Database: postgres User: acaweb_fx Remote: postgres
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, 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, 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, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 3524 AND patternlengthbars >= 20 AND averagequality >= 0.3 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 73796228 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-03-31 09:16:32 Duration: 76ms Database: postgres User: acaweb_fx Remote: postgres
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/*server.FibonacciResultList*/ SELECT DISTINCT a.ResultUID AS ruid, s.symbolid AS sid, symbol AS sym, longname, shortname, Exchange AS e, 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, 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, averagequality, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN symbolgroup sg ON s.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN fibonacci_results a ON a.symbolid = s.symbolid INNER JOIN FibonacciPatterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_fibonacci_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND sg.groupid = 3524 AND patternlengthbars >= 20 AND averagequality >= 0.3 AND (timequality >= 0.0 OR timequality = - 1) AND errormargin >= 0.0 AND 1 - noise >= 0.0 AND s.nonliquid = 0 AND PatternID & 39 > 0 AND s.nonliquid = 0 AND s.deleted = 0 AND dss.enabled = 1 AND a.resultuid > 73796228 AND dftt.dayofweek = 3 ORDER BY relevant DESC, age asc, PatternEndTime DESC, averagequality DESC LIMIT 50;
Date: 2022-03-31 18:52:44 Duration: 74ms Database: postgres User: acaweb_fx Remote: postgres parameters: $1 = '2', $2 = '20', $3 = '39', $4 = '3', $5 = '0', $6 = '-836066017', $7 = '0'
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Events
Log levels
Key values
- 638,631 Log entries
Events distribution
Key values
- 0 PANIC entries
- 3795 FATAL entries
- 134496 ERROR entries
- 3054 WARNING entries
Most Frequent Errors/Events
Key values
- 79,407 Max number of times the same event was reported
- 141,345 Total events found
Rank Times reported Error 1 79,407 ERROR: duplicate key value violates unique constraint "..."
Times Reported Most Frequent Error / Event #1
Day Hour Count Mar 31 00 10,370 01 5,674 02 4,658 03 10,014 04 8,294 05 8,953 06 10,041 07 9,097 08 8,289 09 4,012 14 1 16 1 17 1 19 1 21 1 - ERROR: duplicate key value violates unique constraint "pk_t30"
- ERROR: duplicate key value violates unique constraint "pk_t60"
- ERROR: duplicate key value violates unique constraint "pk_t240_1"
Detail: Key (pricedatetime, symbolid)=(2022-03-25 04:30:00, 960570) already exists.
Statement: INSERT INTO T30 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimewritten) VALUES(960570, '2022-03-25 04:30', 1.58106, 1.58159, 1.58017, 1.58074, 0, 0,'2022-03-31 00:00');INSERT INTO T30_ps (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimewritten) VALUES(960570, '2022-03-25 04:30', 1.58106, 1.58159, 1.58017, 1.58074, 0, 0,'2022-03-31 00:00');Date: 2022-03-31 00:00:00 Database: acaweb_fx Application: User: postgres Remote:
Detail: Key (pricedatetime, symbolid)=(2022-03-24 00:00:00, 960608) already exists.
Statement: INSERT INTO T60 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimewritten) VALUES(960608, '2022-03-24 00:00', 1.57765, 1.58014, 1.57722, 1.57874, 0, 0,'2022-03-31 00:00');INSERT INTO T60_ps (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimewritten) VALUES(960608, '2022-03-24 00:00', 1.57765, 1.58014, 1.57722, 1.57874, 0, 0,'2022-03-31 00:00');Date: 2022-03-31 00:00:04 Database: acaweb_fx Application: User: postgres Remote:
Detail: Key (pricedatetime, symbolid)=(2022-03-24 00:00:00, 960646) already exists.
Statement: INSERT INTO T240 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimewritten) VALUES(960646, '2022-03-24 00:00', 1.57765, 1.58014, 1.57711, 1.5787, 0, 0,'2022-03-31 00:00');INSERT INTO T240 (SymbolID, PriceDateTime, Open, High, Low, Close, Volume, BSF, sastdatetimewritten) VALUES(960646, '2022-03-24 00:00', 1.57765, 1.58014, 1.57711, 1.5787, 0, 0,'2022-03-31 00:00');Date: 2022-03-31 00:00:09 Database: acaweb_fx Application: User: postgres Remote:
2 52,640 ERROR: relation "..." does not exist
Times Reported Most Frequent Error / Event #2
Day Hour Count Mar 31 01 4 02 3 03 3 04 1 05 5 06 2 07 3 08 4 09 2 10 78 11 17 12 146 13 12,597 14 13,615 15 9,329 16 4,990 17 2,783 18 2,127 19 1,672 20 1,337 21 1,459 22 1,413 23 1,050 - ERROR: relation "timezones_vi_vn" does not exist at character 191
- ERROR: relation "timezones_th_th" does not exist at character 191
- ERROR: relation "archive.japsticks_results" does not exist
Statement: SELECT tl.timezone langTimezone, t.timezone as timezone, (cast(substring(t.gmoffset,0,4) as double precision)*60 + cast(substring(t.gmoffset,5,2) as double precision))/60 as gmoffset FROM timezones_vi_VN tl INNER JOIN timezones t ON tl.timezoneid = t.timezoneid ORDER BY t.timezone
Date: 2022-03-31 01:27:45 Database: acaweb_fx Application: User: postgres Remote:
Statement: SELECT tl.timezone langTimezone, t.timezone as timezone, (cast(substring(t.gmoffset,0,4) as double precision)*60 + cast(substring(t.gmoffset,5,2) as double precision))/60 as gmoffset FROM timezones_th_TH tl INNER JOIN timezones t ON tl.timezoneid = t.timezoneid ORDER BY t.timezone
Date: 2022-03-31 02:54:21 Database: acaweb_fx Application: User: postgres Remote:
Statement: alter table archive.japsticks_results ALTER COLUMN symbolid type bigint;
Date: 2022-03-31 10:26:39 Database: acaweb_fx_bigint Application: User: postgres Remote:
3 3,519 FATAL: database "..." does not exist
Times Reported Most Frequent Error / Event #3
Day Hour Count Mar 31 12 982 13 2,014 14 473 15 50 - FATAL: database "acaweb_fx" does not exist
- FATAL: database "acaweb_fx_bigint" does not exist
- FATAL: database "acaweb_f" does not exist
Detail: It seems to have just been dropped or renamed.
Date: 2022-03-31 12:55:18 Database: acaweb_fx Application: User: postgres Remote:
Date: 2022-03-31 12:56:00 Database: acaweb_fx_bigint Application: User: postgres Remote:
Date: 2022-03-31 13:01:46 Database: acaweb_f Application: User: postgres Remote:
4 3,054 WARNING: there is no transaction in progress
Times Reported Most Frequent Error / Event #4
Day Hour Count Mar 31 00 288 01 306 02 322 03 282 04 279 05 281 06 315 07 282 08 281 09 237 13 25 14 81 15 75 - WARNING: there is no transaction in progress
Date: 2022-03-31 00:00:32 Database: acaweb_fx Application: User: postgres Remote:
5 1,769 ERROR: insert or update on table "..." violates foreign key constraint "..."
Times Reported Most Frequent Error / Event #5
Day Hour Count Mar 31 11 8 12 1 13 210 14 562 15 523 16 57 17 45 18 68 19 68 20 34 21 68 22 68 23 57 - ERROR: insert or update on table "stats_hrs_summary_by_groups" violates foreign key constraint "fk_stats_hrs_summary_by_groups_statsid"
- ERROR: insert or update on table "stats_hrsapproaches_summary_by_groups" violates foreign key constraint "fk_stats_hrsapproaches_summary_by_groups_statsid"
- ERROR: insert or update on table "stats_summary_by_groups" violates foreign key constraint "fk_stats_summary_by_groups_statsid"
Detail: Key (statsid)=(515852059302519307) is not present in table "stats_by_groups".
Statement: UPDATE public.stats_hrs_summary_by_groups set statsid = sub.statsid FROM stats sub where public.stats_hrs_summary_by_groups.statsid = sub.old_statsid;Date: 2022-03-31 11:22:03 Database: acaweb_fx_bigint Application: User: postgres Remote:
Detail: Key (statsid)=(515852059302519307) is not present in table "stats_by_groups".
Statement: UPDATE public.stats_hrsapproaches_summary_by_groups set statsid = sub.statsid FROM stats sub where public.stats_hrsapproaches_summary_by_groups.statsid = sub.old_statsid;Date: 2022-03-31 11:22:04 Database: acaweb_fx_bigint Application: User: postgres Remote:
Detail: Key (statsid)=(515852059302519307) is not present in table "stats_by_groups".
Statement: UPDATE public.stats_summary_by_groups set statsid = sub.statsid FROM stats sub where public.stats_summary_by_groups.statsid = sub.old_statsid;Date: 2022-03-31 11:22:05 Database: acaweb_fx_bigint Application: User: postgres Remote:
6 348 ERROR: canceling statement due to user request
Times Reported Most Frequent Error / Event #6
Day Hour Count Mar 31 09 24 10 106 11 118 12 92 13 5 14 2 16 1 - ERROR: canceling statement due to user request
Statement: COPY public.powerstats_trumpet_test (symbolid, dayofweek, fromtime, enddate, stddev_15, ave_15, stddev_30, ave_30, stddev_60, ave_60, stddev_240, ave_240, stddev_1440, ave_1440) TO stdout;
Date: 2022-03-31 09:42:23 Database: acaweb_fx Application: User: postgres Remote:
7 140 FATAL: terminating connection due to administrator command
Times Reported Most Frequent Error / Event #7
Day Hour Count Mar 31 11 4 12 136 - FATAL: terminating connection due to administrator command
Statement: SELECT CASE WHEN a.old_resultuid = $1 THEN a.old_resultuid ELSE a.resultuid END AS ResultUID, s.symbol, a.patternprice, atbaridentified AS patternendtime, breakout, p.patternname, dtt.timezone, a.direction, case when a.patternclassid = 1 then a.predictionpricefrom else a.patternprice end as predictionpricefrom, case when a.patternclassid = 1 then a.predictionpriceto else a.patternprice end as predictionpriceto, s.timegranularity AS interval, patternlengthbars AS length, cps.pip FROM keylevels_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT JOIN currencypips cps on cps.symbol = s.symbol WHERE (a.old_resultuid = $2 OR a.resultuid = $3) AND dtt.dayofweek = 3
Date: 2022-03-31 11:37:29
8 136 FATAL: connection to client lost
Times Reported Most Frequent Error / Event #8
Day Hour Count Mar 31 09 8 10 47 11 50 12 30 13 1 - FATAL: connection to client lost
Statement: 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 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 (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)) AND ($225 = 0 OR ar.pattern in ($226)) AND ($227 = 0 OR ($228 = 1 AND ar.breakout >= 0) OR ($229 = 2 AND ar.breakout < 0)) AND ($230 = 0 OR ar.patternlengthbars <= $231) and newLevels.filtered = false ), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $232 OR relevant = 1) AND ($233 = 0 OR age <= $234) ORDER BY symbolid, resultuid, identified DESC, length DESC ) SELECT * from results ORDER BY identified DESC, length DESC
Date: 2022-03-31 09:00:18 Database: acaweb_fx Application: User: postgres Remote:
9 107 ERROR: integer out of range
Times Reported Most Frequent Error / Event #9
Day Hour Count Mar 31 13 5 14 102 - ERROR: integer out of range
Context: SQL statement "INSERT INTO temp_stats (resultuid, atbaridentified, "type", minprice, maxprice, correct, symbol, "interval", pattern, direction, hourofday, quality, breakout, clarity, initialtrend, volumeincrease, symmetry, qtytp, trendchange, patternlengthbars, symbolid) select distinct resultuid, atbaridentified, "type", minprice, maxprice, correct, symbol, "interval", pattern, direction, hourofday, quality, breakout, clarity, initialtrend, volumeincrease, symmetry, qtytp, trendchange, patternlengthbars, t.symbolid from stats_success t inner join stats_symbols ss on t.symbolid = ss.symbolid where statsid = v_statsid and TYPE = 'cp' and atbaridentified >= v_earliestdata and atbaridentified <= v_latestdata" PL/pgSQL function stats_createsummarytables_chartpattens(bigint) line 44 at SQL statement
Statement: select stats_createSummaryTables_ChartPattens(cast(515852059300135307 as bigint));Date: 2022-03-31 13:35:47 Database: acaweb_fx Application: User: postgres Remote:
10 78 LOG: process ... still waiting for AccessShareLock on relation ... of database ... after ... ms
Times Reported Most Frequent Error / Event #10
Day Hour Count Mar 31 06 42 09 34 12 2 - LOG: process 20636 still waiting for AccessShareLock on relation 52525 of database 51448 after 1000.101 ms at character 162
- LOG: process 20648 still waiting for AccessShareLock on relation 52525 of database 51448 after 1000.051 ms at character 162
- LOG: process 20659 still waiting for AccessShareLock on relation 52525 of database 51448 after 1000.035 ms at character 162
Detail: Process holding the lock: 12870. Wait queue: 19745, 20636, 20648, 20659, 20639, 20642, 20661, 20670, 20691, 20689, 20698, 20700, 20694, 20680, 20692, 20666, 20697, 20663, 20701, 20695, 20696, 20702, 20671, 20705, 20703, 20704, 20710, 20707, 20708, 20709, 20712.
Statement: UPDATE datafeeds_latestrun SET latestrxtime=subquery.latestrxtime,latestdbwritetime=subquery.latestdbwritetime FROM (select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ADSSECURITIES') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ADSSECURITIES';Date: 2022-03-31 06:18:02 Database: acaweb_fx Application: User: postgres Remote:
Detail: Process holding the lock: 12870. Wait queue: 19745, 20636, 20648, 20659, 20639, 20642, 20661, 20670, 20691, 20689, 20698, 20700, 20694, 20680, 20692, 20666, 20697, 20663, 20701, 20695, 20696, 20702, 20671, 20705, 20703, 20704, 20710, 20707, 20708, 20709, 20712.
Statement: UPDATE datafeeds_latestrun SET latestrxtime=subquery.latestrxtime,latestdbwritetime=subquery.latestdbwritetime FROM (select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname = 'GKINVESTMT5') AS subquery WHERE datafeeds_latestrun.feedname = 'GKINVESTMT5';Date: 2022-03-31 06:18:02 Database: acaweb_fx Application: User: postgres Remote:
Detail: Process holding the lock: 12870. Wait queue: 19745, 20636, 20648, 20659, 20639, 20642, 20661, 20670, 20691, 20689, 20698, 20700, 20694, 20680, 20692, 20666, 20697, 20663, 20701, 20695, 20696, 20702, 20671, 20705, 20703, 20704, 20710, 20707, 20708, 20709, 20712.
Statement: UPDATE datafeeds_latestrun SET latestrxtime=subquery.latestrxtime,latestdbwritetime=subquery.latestdbwritetime FROM (select latestrxtime, latestdbwritetime from latest_t15_candle_view where classname ilike 'ATFX') AS subquery WHERE datafeeds_latestrun.feedname ilike 'ATFX';Date: 2022-03-31 06:18:02 Database: acaweb_fx Application: User: postgres Remote:
11 41 ERROR: view "..." does not exist
Times Reported Most Frequent Error / Event #11
Day Hour Count Mar 31 10 41 - ERROR: view "recengnotworking" does not exist
- ERROR: view "broker_datafeeds_view_retool" does not exist
- ERROR: view "broker_symbol_group_view_retool" does not exist
Statement: DROP VIEW public.recengnotworking;
Date: 2022-03-31 10:16:48 Database: acaweb_fx_bigint Application: User: postgres Remote:
Statement: DROP VIEW public.broker_datafeeds_view_retool;
Date: 2022-03-31 10:16:58 Database: acaweb_fx_bigint Application: User: postgres Remote:
Statement: DROP VIEW public.broker_symbol_group_view_retool;
Date: 2022-03-31 10:16:58 Database: acaweb_fx_bigint Application: User: postgres Remote:
12 40 ERROR: column "..." does not exist
Times Reported Most Frequent Error / Event #12
Day Hour Count Mar 31 05 1 12 2 14 33 16 3 17 1 - ERROR: column c.relhasoids does not exist at character 245
- ERROR: column "symbolid" referenced in foreign key constraint does not exist
- ERROR: column "statid" does not exist at character 8
Statement: select n.nspname, c.relname, a.attname, a.atttypid, t.typname, a.attnum, a.attlen, a.atttypmod, a.attnotnull, c.relhasrules, c.relkind, c.oid, pg_get_expr(d.adbin, d.adrelid), case t.typtype when 'd' then t.typbasetype else 0 end, t.typtypmod, c.relhasoids, attidentity, c.relhassubclass from (((pg_catalog.pg_class c inner join pg_catalog.pg_namespace n on n.oid = c.relnamespace and c.oid = 52864) inner join pg_catalog.pg_attribute a on (not a.attisdropped) and a.attnum > 0 and a.attrelid = c.oid) inner join pg_catalog.pg_type t on t.oid = a.atttypid) left outer join pg_attrdef d on a.atthasdef and d.adrelid = a.attrelid and d.adnum = a.attnum order by n.nspname, c.relname, attnum
Date: 2022-03-31 05:32:03 Database: acaweb_fx Application: User: postgres Remote:
Statement: ALTER TABLE public.futures_symbol_codes ADD CONSTRAINT fk_futures_month_code_id FOREIGN KEY (symbolid) REFERENCES symbols(symbolid);
Date: 2022-03-31 12:46:01 Database: acaweb_fx_bigint Application: User: postgres Remote:
Hint: Perhaps you meant to reference the column "stats.statsid".
Statement: select statid from stats where description not ilike '%[All]%' and description not in (select brokername||': '||exchange from broker_symbol_ticker_view) and brokerid in (select distinct brokerid from broker_symbol_ticker_view) and groupingtype = 'exchange';Date: 2022-03-31 16:23:04 Database: acaweb_fx Application: User: postgres Remote:
13 16 LOG: process ... still waiting for RowExclusiveLock on object 51448 of class 1262 of database ... after ... ms
Times Reported Most Frequent Error / Event #13
Day Hour Count Mar 31 12 16 - LOG: process 29789 still waiting for RowExclusiveLock on object 51448 of class 1262 of database 0 after 1000.049 ms
- LOG: process 29790 still waiting for RowExclusiveLock on object 51448 of class 1262 of database 0 after 1000.070 ms
- LOG: process 29791 still waiting for RowExclusiveLock on object 51448 of class 1262 of database 0 after 1000.038 ms
Detail: Process holding the lock: 29691. Wait queue: 29789, 29790, 29791, 29792, 29793.
Date: 2022-03-31 12:55:12 Database: acaweb_fx Application: User: postgres Remote:
Detail: Process holding the lock: 29691. Wait queue: 29789, 29790, 29791, 29792, 29793, 29794, 29795, 29798, 29797, 29796, 29799.
Date: 2022-03-31 12:55:12 Database: acaweb_fx Application: User: postgres Remote:
Detail: Process holding the lock: 29691. Wait queue: 29789, 29790, 29791, 29792, 29793, 29794, 29795, 29798, 29797, 29796, 29799.
Date: 2022-03-31 12:55:12 Database: acaweb_fx Application: User: postgres Remote:
14 12 LOG: process ... still waiting for AccessExclusiveLock on relation ... of database ... after ... ms
Times Reported Most Frequent Error / Event #14
Day Hour Count Mar 31 06 6 09 4 10 2 - LOG: process 13004 still waiting for AccessExclusiveLock on relation 52893 of database 51448 after 1000.038 ms
- LOG: process 13004 still waiting for AccessExclusiveLock on relation 52893 of database 51448 after 52386.445 ms
- LOG: process 19745 still waiting for AccessExclusiveLock on relation 52525 of database 51448 after 1000.044 ms
Detail: Process holding the lock: 12870. Wait queue: 13004.
Statement: TRUNCATE TABLE solr_relevance_old;Date: 2022-03-31 06:05:12 Database: acaweb_fx Application: User: postgres Remote:
Detail: Process holding the lock: 12870. Wait queue: 13004.
Statement: TRUNCATE TABLE solr_relevance_old;Date: 2022-03-31 06:06:03 Database: acaweb_fx Application: User: postgres Remote:
Detail: Process holding the lock: 12870. Wait queue: 19745.
Statement: refresh materialized view latest_t15_candle_view;Date: 2022-03-31 06:16:02 Database: acaweb_fx Application: User: postgres Remote:
15 12 ERROR: syntax error at or near "..."
Times Reported Most Frequent Error / Event #15
Day Hour Count Mar 31 10 5 13 4 16 2 17 1 - ERROR: syntax error at or near "bigint" at character 49
- ERROR: syntax error at or near "type" at character 49
- ERROR: syntax error at or near "bigint" at character 45
Statement: alter table groups alter column old_groupid set bigint;
Date: 2022-03-31 10:20:33 Database: acaweb_fx_bigint Application: User: postgres Remote:
Statement: alter table groups alter column old_groupid set type bigint;
Date: 2022-03-31 10:21:19 Database: acaweb_fx_bigint Application: User: postgres Remote:
Statement: alter table groups alter column old_groupid bigint;
Date: 2022-03-31 10:21:30 Database: acaweb_fx_bigint Application: User: postgres Remote:
16 5 ERROR: canceling autovacuum task
Times Reported Most Frequent Error / Event #16
Day Hour Count Mar 31 03 1 09 2 10 2 - ERROR: canceling autovacuum task
Context: while cleaning up index "pk_relevance_autochartist_results" of relation "public.relevance_autochartist_results" automatic vacuum of table "acaweb_fx.public.relevance_autochartist_results"
Date: 2022-03-31 03:05:48
17 3 LOG: process ... still waiting for ShareLock on transaction ... after ... ms
Times Reported Most Frequent Error / Event #17
Day Hour Count Mar 31 11 1 12 1 14 1 - LOG: process 2701 still waiting for ShareLock on transaction 288218114 after 1000.045 ms
- LOG: process 14357 still waiting for ShareLock on transaction 288218299 after 1000.038 ms
- LOG: process 29960 still waiting for ShareLock on transaction 288241394 after 1000.037 ms
Detail: Process holding the lock: 2790. Wait queue: 2701.
Context: while updating tuple (1553,65) in relation "whatshot_pref"
Statement: UPDATE whatshot_pref SET whatshotlimit=$1, whatshotpercent=$2, groupname=$3 WHERE clientid=$4Date: 2022-03-31 11:28:05 Database: acaweb_fx Application: User: postgres Remote:
Detail: Process holding the lock: 12955. Wait queue: 14357.
Context: while updating tuple (1203,75) in relation "whatshot_pref"
Statement: UPDATE whatshot_pref SET whatshotlimit=$1, whatshotpercent=$2, groupname=$3 WHERE clientid=$4Date: 2022-03-31 12:02:58 Database: acaweb_fx Application: User: postgres Remote:
Detail: Process holding the lock: 10931. Wait queue: 29960, 10833.
Context: while locking tuple (112946,31) in relation "patternresultsrelevance"
Statement: UPDATE patternresultsrelevance SET relevant = 0, saxo_relevant = 0,notrelevantpricedatetime = '2022-03-30 18:00:00', reason = 'Approaching pattern wick broke through price level.' WHERE uniqueIndex = '|968822|2722.591|2|2022-03-30 17:00:00|1|-1' and relevant = 1;Date: 2022-03-31 14:05:39 Database: acaweb_fx Application: User: postgres Remote:
18 2 ERROR: update or delete on table "..." violates foreign key constraint "..." on table "..."
Times Reported Most Frequent Error / Event #18
Day Hour Count Mar 31 11 2 - ERROR: update or delete on table "stats_by_groups" violates foreign key constraint "fk_stats_hrsapproaches_summary_by_groups_statsid" on table "stats_hrsapproaches_summary_by_groups"
- ERROR: update or delete on table "stats_by_groups" violates foreign key constraint "fk_stats_hrs_summary_by_groups_statsid" on table "stats_hrs_summary_by_groups"
Detail: Key (statsid)=(89) is still referenced from table "stats_hrsapproaches_summary_by_groups".
Statement: UPDATE public.stats_by_groups set statsid = sub.statsid FROM stats sub where public.stats_by_groups.statsid = sub.old_statsid;Date: 2022-03-31 11:22:02 Database: acaweb_fx_bigint Application: User: postgres Remote:
Detail: Key (statsid)=(89) is still referenced from table "stats_hrs_summary_by_groups".
Statement: UPDATE public.stats_by_groups set statsid = sub.statsid FROM stats sub where public.stats_by_groups.statsid = sub.old_statsid;Date: 2022-03-31 11:46:09 Database: acaweb_fx_bigint Application: User: postgres Remote:
19 2 ERROR: database "..." is being accessed by other users
Times Reported Most Frequent Error / Event #19
Day Hour Count Mar 31 12 2 - ERROR: database "acaweb_fx" is being accessed by other users
- ERROR: database "acaweb_fx_bigint" is being accessed by other users
Detail: There are 7 other sessions using the database.
Statement: ALTER DATABASE acaweb_fx RENAME TO acaweb_fx_integer;Date: 2022-03-31 12:55:15 Database: postgres Application: User: postgres Remote:
Detail: There are 9 other sessions using the database.
Statement: ALTER DATABASE acaweb_fx_bigint RENAME TO acaweb_fx;Date: 2022-03-31 12:55:28 Database: postgres Application: User: postgres Remote:
20 2 ERROR: structure of query does not match function result type
Times Reported Most Frequent Error / Event #20
Day Hour Count Mar 31 10 2 - ERROR: structure of query does not match function result type
Detail: Returned type integer does not match expected type bigint in column 2.
Context: PL/pgSQL function show_timezone_changes(boolean) line 11 at RETURN QUERY
Statement: select count (*) from (select * from show_timezone_changes(true)) as tDate: 2022-03-31 10:55:00 Database: acaweb_fx Application: User: postgres Remote:
21 2 ERROR: constraint "..." of relation "..." does not exist
Times Reported Most Frequent Error / Event #21
Day Hour Count Mar 31 10 2 - ERROR: constraint "fk_futures_month_code_id" of relation "futures_symbol_codes" does not exist
- ERROR: constraint "fk_futures_month_code_id" of relation "futures_symbols" does not exist
Statement: ALTER TABLE public.futures_symbol_codes DROP CONSTRAINT fk_futures_month_code_id;
Date: 2022-03-31 10:16:04 Database: acaweb_fx_bigint Application: User: postgres Remote:
Statement: ALTER TABLE public.futures_symbols DROP CONSTRAINT fk_futures_month_code_id;
Date: 2022-03-31 10:16:04 Database: acaweb_fx_bigint Application: User: postgres Remote:
22 1 LOG: process ... still waiting for ShareLock on relation ... of database ... after ... ms
Times Reported Most Frequent Error / Event #22
Day Hour Count Mar 31 09 1 - LOG: process 2090 still waiting for ShareLock on relation 5883268 of database 5881926 after 1000.042 ms
Detail: Process holding the lock: 2774. Wait queue: 2090.
Statement: CREATE INDEX idx_trumpet_fromtime ON public.powerstats_trumpet USING btree (fromtime);Date: 2022-03-31 09:57:09 Database: acaweb_fx_bigint Application: User: postgres Remote:
23 1 ERROR: function stats_futures_populatestatssuccess_keylevels(...) does not exist
Times Reported Most Frequent Error / Event #23
Day Hour Count Mar 31 12 1 - ERROR: function stats_futures_populatestatssuccess_keylevels(integer, integer) does not exist
Statement: ALTER FUNCTION stats_futures_populatestatssuccess_keylevels(integer, integer) RENAME TO _stats_futures_populatestatssuccess_keylevels;
Date: 2022-03-31 12:48:30 Database: acaweb_fx_bigint Application: User: postgres Remote:
24 1 ERROR: function gen_whatshot(...) does not exist
Times Reported Most Frequent Error / Event #24
Day Hour Count Mar 31 17 1 - ERROR: function gen_whatshot(integer, timestamp with time zone) does not exist at character 8
Hint: No function matches the given name and argument types. You might need to add explicit type casts.
Statement: select gen_whatshot(572, current_timestamp);Date: 2022-03-31 17:22:09 Database: acaweb_fx Application: User: postgres Remote:
25 1 ERROR: could not obtain lock on relation "..."
Times Reported Most Frequent Error / Event #25
Day Hour Count Mar 31 09 1 - ERROR: could not obtain lock on relation "public.solr_relevance_old"
Statement: LOCK TABLE public.solr_relevance_old IN ACCESS SHARE MODE NOWAIT
Date: 2022-03-31 09:42:23 Database: acaweb_fx Application: User: postgres Remote:
26 1 LOG: process ... still waiting for ExclusiveLock on relation ... of database ... after ... ms
Times Reported Most Frequent Error / Event #26
Day Hour Count Mar 31 03 1 - LOG: process 19058 still waiting for ExclusiveLock on relation 52717 of database 51448 after 1000.050 ms
Detail: Processes holding the lock: 18789, 17568, 18817, 3619, 17135, 17731. Wait queue: 19058.
Context: SQL statement "REFRESH MATERIALIZED VIEW CONCURRENTLY relevance_autochartist_results" PL/pgSQL function updateresultsmaterializedview() line 5 at SQL statement
Statement: select updateresultsmaterializedview()Date: 2022-03-31 03:05:48 Database: acaweb_fx Application: User: postgres Remote:
27 1 ERROR: deadlock detected
Times Reported Most Frequent Error / Event #27
Day Hour Count Mar 31 11 1 - ERROR: deadlock detected
Detail: Process 965 waits for AccessExclusiveLock on relation 5883510 of database 5881926; blocked by process 961. Process 961 waits for RowShareLock on relation 5883535 of database 5881926; blocked by process 965. Process 965: ALTER TABLE public.stats_hrs_summary_by_groups_2d ALTER COLUMN statsid type bigint; Process 961: UPDATE public.stats_by_groups set statsid = sub.statsid FROM stats sub where public.stats_by_groups.statsid = sub.old_statsid;
Hint: See server log for query details.
Statement: ALTER TABLE public.stats_hrs_summary_by_groups_2d ALTER COLUMN statsid type bigint;Date: 2022-03-31 11:22:02 Database: acaweb_fx_bigint Application: User: postgres Remote:
28 1 ERROR: function stats_populatestatssuccess_chartpatterns(...) does not exist
Times Reported Most Frequent Error / Event #28
Day Hour Count Mar 31 12 1 - ERROR: function stats_populatestatssuccess_chartpatterns(integer, integer) does not exist
Statement: ALTER FUNCTION stats_populatestatssuccess_chartpatterns(integer, integer) RENAME TO _stats_populatestatssuccess_chartpatterns;
Date: 2022-03-31 12:48:20 Database: acaweb_fx_bigint Application: User: postgres Remote:
29 1 ERROR: column "..." of relation "..." already exists
Times Reported Most Frequent Error / Event #29
Day Hour Count Mar 31 10 1 - ERROR: column "bigintvalue" of relation "variables" already exists
Statement: alter table variables ADD COLUMN bigintvalue bigint;
Date: 2022-03-31 10:26:55 Database: acaweb_fx_bigint Application: User: postgres Remote:
30 1 ERROR: constraint "..." for relation "..." already exists
Times Reported Most Frequent Error / Event #30
Day Hour Count Mar 31 12 1 - ERROR: constraint "fk_futures_month_code_id" for relation "futures_symbols" already exists
Statement: ALTER TABLE public.futures_symbols ADD CONSTRAINT fk_futures_month_code_id FOREIGN KEY (symbolid) REFERENCES symbols(symbolid);
Date: 2022-03-31 12:46:01 Database: acaweb_fx_bigint Application: User: postgres Remote:
31 1 ERROR: cannot drop view ... because other objects depend on it
Times Reported Most Frequent Error / Event #31
Day Hour Count Mar 31 10 1 - ERROR: cannot drop view broker_group_view_retool because other objects depend on it
Detail: view unalloc_broker_symbol_view_retool depends on view broker_group_view_retool
Hint: Use DROP ... CASCADE to drop the dependent objects too.
Statement: DROP VIEW public.broker_group_view_retool;Date: 2022-03-31 10:16:48 Database: acaweb_fx_bigint Application: User: postgres Remote: