pgBadger-
Global information
- Generated on Thu Jun 4 04:15:07 2026
- Log file: /project/archive/log/postgres/dbprd51/postgresql.log-20260603
- Parsed 2,290 log entries in 6s
- Log start from 2026-06-04 00:00:01 to 2026-06-04 03:27:15
-
Overview
Global Stats
- 3 Number of unique normalized queries
- 3 Number of queries
- 9m33s Total query duration
- 2026-06-04 00:09:18 First query
- 2026-06-04 00:18:45 Last query
- 1 queries/s at 2026-06-04 00:09:25 Query peak
- 9m33s Total query duration
- 0ms Prepare/parse total duration
- 0ms Bind total duration
- 9m33s Execute total duration
- 5 Number of events
- 1 Number of unique normalized events
- 5 Max number of times the same event was reported
- 0 Number of cancellation
- 1 Total number of automatic vacuums
- 3 Total number of automatic analyzes
- 0 Number temporary file
- 0 Max size of temporary file
- 0.00 B Average size of temporary file
- 282 Total number of sessions
- 52 sessions at 2026-06-04 00:22:24 Session peak
- 8d18h57m5s Total duration of sessions
- 44m52s Average duration of sessions
- 0 Average queries per session
- 2s33ms Average queries duration per session
- 44m50s Average idle time per session
- 277 Total number of connections
- 3 connections/s at 2026-06-04 03:23:33 Connection peak
- 2 Total number of databases
SQL Traffic
Key values
- 1 queries/s Query Peak
- 2026-06-04 00:09:25 Date
SELECT Traffic
Key values
- 1 queries/s Query Peak
- 2026-06-04 00:18:45 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 0 queries/s Query Peak
- Date
Queries duration
Key values
- 9m33s 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) Jun 04 00 3 0ms 9m16s 3m11s 0ms 10s129ms 9m23s 01 0 0ms 0ms 0ms 0ms 0ms 0ms 02 0 0ms 0ms 0ms 0ms 0ms 0ms 03 0 0ms 0ms 0ms 0ms 0ms 0ms Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Jun 04 00 2 0 4m43s 0ms 0ms 9m16s 01 0 0 0ms 0ms 0ms 0ms 02 0 0 0ms 0ms 0ms 0ms 03 0 0 0ms 0ms 0ms 0ms Day Hour INSERT UPDATE DELETE COPY FROM Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Jun 04 00 0 0 0 0 0ms 0ms 0ms 0ms 01 0 0 0 0 0ms 0ms 0ms 0ms 02 0 0 0 0 0ms 0ms 0ms 0ms 03 0 0 0 0 0ms 0ms 0ms 0ms Day Hour Prepare Bind Bind/Prepare Percentage of prepare Jun 04 00 0 1 1.00 0.00% 01 0 0 0.00 0.00% 02 0 0 0.00 0.00% 03 0 0 0.00 0.00% Day Hour Count Average / Second Jun 04 00 80 0.02/s 01 80 0.02/s 02 81 0.02/s 03 36 0.01/s Day Hour Count Average Duration Average idle time Jun 04 00 80 29m54s 29m47s 01 83 59m30s 59m30s 02 83 51m16s 51m16s 03 36 29m41s 29m41s -
Connections
Established Connections
Key values
- 3 connections Connection Peak
- 2026-06-04 03:23:33 Date
Connections per database
Key values
- ctdprd51 Main Database
- 277 connections Total
Connections per user
Key values
- qaeu Main User
- 277 connections Total
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Sessions
Simultaneous sessions
Key values
- 52 sessions Session Peak
- 2026-06-04 00:22:24 Date
Histogram of session times
Key values
- 256 1800000-3600000ms duration
Sessions per database
Key values
- ctdprd51 Main Database
- 282 sessions Total
Sessions per user
Key values
- qaeu Main User
- 282 sessions Total
Sessions per host
Key values
- 10.12.5.53 Main Host
- 282 sessions Total
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Checkpoints / Restartpoints
Checkpoints Buffers
Key values
- 647 buffers Checkpoint Peak
- 2026-06-04 01:22:46 Date
- 64.893 seconds Highest write time
- 0.002 seconds Sync time
Checkpoints Wal files
Key values
- 0 files Wal files usage Peak
- 2026-06-04 02:52:08 Date
Checkpoints distance
Key values
- 5.85 Mo Distance Peak
- 2026-06-04 01:22:46 Date
Checkpoints Activity
↑ Back to the top of the Checkpoint Activity tableDay Hour Written buffers Write time Sync time Total time Jun 04 00 574 57.681s 0.003s 57.692s 01 835 83.81s 0.002s 83.866s 02 456 45.847s 0.002s 45.856s 03 236 23.729s 0.001s 23.733s Day Hour Added Removed Recycled Synced files Longest sync Average sync Jun 04 00 0 0 0 65 0.001s 0.002s 01 0 1 0 43 0.001s 0.002s 02 0 0 0 33 0.001s 0.002s 03 0 0 0 18 0.001s 0.001s Day Hour Count Avg time (sec) Jun 04 00 0 0s 01 0 0s 02 0 0s 03 0 0s Day Hour Mean distance Mean estimate Jun 04 00 1,366.00 kB 89,886.00 kB 01 1,636.50 kB 73,108.00 kB 02 301.00 kB 59,263.00 kB 03 322.00 kB 50,587.00 kB -
Temporary Files
Size of temporary files
Key values
- 0 Temp Files size Peak
- Date
Size of temporary files (5 minutes period)
NO DATASET
Number of temporary files
Key values
- 0 per second Temp Files Peak
- Date
Number of temporary files (5 minutes period)
NO DATASET
Temporary Files Activity
↑ Back to the top of the Temporary Files Activity tableDay Hour Count Total size Average size Jun 04 00 0 0 0 01 0 0 0 02 0 0 0 03 0 0 0 -
Vacuums
Vacuums / Analyzes Distribution
Key values
- 0 sec Highest CPU-cost vacuum
Table
Database - Date
- 0 sec Highest CPU-cost analyze
Table
Database - Date
Average Autovacuum Duration
Key values
- 0 sec Highest CPU-cost vacuum
Table
Database - Date
Analyzes per table
Key values
- pubc.log_query (3) Main table analyzed (database ctdprd51)
- 3 analyzes Total
Vacuums per table
Key values
- pubc.log_query (1) Main table vacuumed on database ctdprd51
- 1 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 Jun 04 00 1 0 01 0 2 02 0 1 03 0 0 - 0 sec Highest CPU-cost vacuum
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Locks
Locks by types
Key values
- unknown Main Lock Type
- 0 locks Total
Most frequent waiting queries (N)
Rank Count Total time Min time Max time Avg duration Query NO DATASET
Queries that waited the most
Rank Wait time Query NO DATASET
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Queries
Queries by type
Key values
- 2 Total read queries
- 0 Total write queries
Queries by database
Key values
- ctdprd51 Main database
- 2 Requests
- 9m26s (ctdprd51)
- Main time consuming database
Queries by user
Key values
- unknown Main user
- 100 Requests
User Request type Count Duration editeu Total 46 10m1s select 46 10m1s postgres Total 24 26m22s copy to 24 26m22s pubc Total 2 18m32s select 2 18m32s pubeu Total 65 12m35s select 65 12m35s qaeu Total 3 16s959ms select 3 16s959ms unknown Total 100 20m28s copy to 84 17m44s others 2 13s76ms select 14 2m30s Duration by user
Key values
- 26m22s (postgres) Main time consuming user
User Request type Count Duration editeu Total 46 10m1s select 46 10m1s postgres Total 24 26m22s copy to 24 26m22s pubc Total 2 18m32s select 2 18m32s pubeu Total 65 12m35s select 65 12m35s qaeu Total 3 16s959ms select 3 16s959ms unknown Total 100 20m28s copy to 84 17m44s others 2 13s76ms select 14 2m30s Queries by host
Key values
- unknown Main host
- 240 Requests
- 1h28m17s (unknown)
- Main time consuming host
Queries by application
Key values
- unknown Main application
- 2 Requests
- 9m16s (psql)
- Main time consuming application
Number of cancelled queries
Key values
- 0 per second Cancelled query Peak
- 2026-06-04 02:08:11 Date
Number of cancelled queries (5 minutes period)
NO DATASET
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Top Queries
Histogram of query times
Key values
- 2 > 10000ms duration
Slowest individual queries
Rank Duration Query 1 9m16s /* * Run daily to prune LOG_QUERY, archive old queries to LOG_QUERY_ARCHIVE * and vacuum/analyze the tables. * * $Id: archive_query_logs.sql 10832 2012-03-19 15:27:11Z mcr $ */ SELECT maint_query_logs_archive ();[ Date: 2026-06-04 00:09:18 - Database: ctdprd51 - User: pubc - Application: psql ]
2 10s129ms select distinct /* ChemPhenotypesAssnsDAO */ associatedTerm.nm || '^' || o.cd || '^' || associatedTerm.nm_html || '^' || associatedTerm.acc_txt || '^' || associatedTerm.acc_db_cd as associatedTerm, associatedTerm.id associatedTermId, ptr.ixn_id ixnId, associatedTerm.object_type_id || '|' || associatedTerm.nm_sort associatedTermNmSort, COALESCE(associatedTerm.secondary_nm, '') casRN, phenotypeTerm.nm || '^' || 'go' || '^' || phenotypeTerm.nm_html || '^' || phenotypeTerm.acc_txt || '^' || phenotypeTerm.acc_db_cd as phenotype, phenotypeTerm.id phenotypeId, ( SELECT STRING_AGG(distinct taxonTerm.nm || '^' || 'taxon' || '^' || taxonTerm.nm_html || '^' || taxonTerm.acc_txt || '^' || taxonTerm.acc_db_cd || '^' || COALESCE(taxonTerm.secondary_nm, ''), '|')) as taxonTerms, ( SELECT STRING_AGG(distinct anatomyTerm.nm_html || '^' || anatomyTerm.acc_txt || '^' || ia.level_seq || '^' || anatomyTerm.acc_db_cd || '^' || anatomyTerm.nm, '|')) as anatomyTerms, COUNT(DISTINCT taxonTerm.nm) taxonCount, i.ixn_prose_html ixnProseHtml, i.ixn_prose_txt ixnProse, i.sort_txt ixnSort, ( SELECT STRING_AGG(distinct r.acc_txt, '|')) as references, COUNT(DISTINCT ptr.reference_id) refCount, pt.indirect_term_qty inferredCount, COUNT(*) OVER () fullRowCount from phenotype_term_reference ptr inner join phenotype_term pt on ptr.term_id = pt.term_id and ptr.phenotype_id = pt.phenotype_id inner join term associatedTerm on ptr.term_id = associatedTerm.id inner join term phenotypeTerm on ptr.phenotype_id = phenotypeTerm.id left outer join term taxonTerm on ptr.taxon_id = taxonTerm.id inner join reference r on ptr.reference_id = r.id inner join ixn i on ptr.ixn_id = i.id inner join object_type o on associatedTerm.object_type_id = o.id left outer join ixn_anatomy ia on ptr.ixn_id = ia.ixn_id left outer join term anatomyTerm on ia.anatomy_id = anatomyTerm.id where ptr.term_id IN ( select /* DBConstants.getDAGTermSQL */ distinct dp.descendant_object_id from dag_path dp WHERE dp.ancestor_object_id in ( select distinct id from term baseTerm where object_type_id = 2 and upper(baseTerm.nm) LIKE 'LEAD')) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases', 'decreases', 'affects')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort asc, pt.indirect_term_qty desc LIMIT 50;[ Date: 2026-06-04 00:18:45 - Database: ctdprd51 - User: pubeu - Bind query: yes ]
3 6s454ms VACUUM ANALYZE log_query_archive;[ Date: 2026-06-04 00:09:25 ]
Time consuming queries (N)
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 9m16s 1 9m16s 9m16s 9m16s select maint_query_logs_archive ();Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Jun 04 00 1 9m16s 9m16s [ User: pubc - Total duration: 9m16s - Times executed: 1 ]
[ Application: psql - Total duration: 9m16s - Times executed: 1 ]
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/* * Run daily to prune LOG_QUERY, archive old queries to LOG_QUERY_ARCHIVE * and vacuum/analyze the tables. * * $Id: archive_query_logs.sql 10832 2012-03-19 15:27:11Z mcr $ */ SELECT maint_query_logs_archive ();
Date: 2026-06-04 00:09:18 Duration: 9m16s Database: ctdprd51 User: pubc Application: psql
2 10s129ms 1 10s129ms 10s129ms 10s129ms select distinct associatedterm.nm || ? || o.cd || ? || associatedterm.nm_html || ? || associatedterm.acc_txt || ? || associatedterm.acc_db_cd as associatedterm, associatedterm.id associatedtermid, ptr.ixn_id ixnid, associatedterm.object_type_id || ? || associatedterm.nm_sort associatedtermnmsort, coalesce(associatedterm.secondary_nm, ?) casrn, phenotypeterm.nm || ? || ? || ? || phenotypeterm.nm_html || ? || phenotypeterm.acc_txt || ? || phenotypeterm.acc_db_cd as phenotype, phenotypeterm.id phenotypeid, ( select string_agg(distinct taxonterm.nm || ? || ? || ? || taxonterm.nm_html || ? || taxonterm.acc_txt || ? || taxonterm.acc_db_cd || ? || coalesce(taxonterm.secondary_nm, ?), ?)) as taxonterms, ( select string_agg(distinct anatomyterm.nm_html || ? || anatomyterm.acc_txt || ? || ia.level_seq || ? || anatomyterm.acc_db_cd || ? || anatomyterm.nm, ?)) as anatomyterms, count(distinct taxonterm.nm) taxoncount, i.ixn_prose_html ixnprosehtml, i.ixn_prose_txt ixnprose, i.sort_txt ixnsort, ( select string_agg(distinct r.acc_txt, ?)) as references, count(distinct ptr.reference_id) refcount, pt.indirect_term_qty inferredcount, count(*) over () fullrowcount from phenotype_term_reference ptr inner join phenotype_term pt on ptr.term_id = pt.term_id and ptr.phenotype_id = pt.phenotype_id inner join term associatedterm on ptr.term_id = associatedterm.id inner join term phenotypeterm on ptr.phenotype_id = phenotypeterm.id left outer join term taxonterm on ptr.taxon_id = taxonterm.id inner join reference r on ptr.reference_id = r.id inner join ixn i on ptr.ixn_id = i.id inner join object_type o on associatedterm.object_type_id = o.id left outer join ixn_anatomy ia on ptr.ixn_id = ia.ixn_id left outer join term anatomyterm on ia.anatomy_id = anatomyterm.id where ptr.term_id in ( select distinct dp.descendant_object_id from dag_path dp where dp.ancestor_object_id in ( select distinct id from term baseterm where object_type_id = ? and upper(baseterm.nm) like ?)) and i.id in ( select ixn_id from ixn_axn where action_type_nm = ? and action_degree_type_nm in (...)) group by associatedterm, associatedtermnmsort, phenotype, casrn, ixnid, ixnprosehtml, ixnprose, ixnsort, associatedtermid, phenotypeid, inferredcount order by associatedtermnmsort asc, pt.indirect_term_qty desc limit ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Jun 04 00 1 10s129ms 10s129ms [ User: pubeu - Total duration: 10s129ms - Times executed: 1 ]
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select distinct /* ChemPhenotypesAssnsDAO */ associatedTerm.nm || '^' || o.cd || '^' || associatedTerm.nm_html || '^' || associatedTerm.acc_txt || '^' || associatedTerm.acc_db_cd as associatedTerm, associatedTerm.id associatedTermId, ptr.ixn_id ixnId, associatedTerm.object_type_id || '|' || associatedTerm.nm_sort associatedTermNmSort, COALESCE(associatedTerm.secondary_nm, '') casRN, phenotypeTerm.nm || '^' || 'go' || '^' || phenotypeTerm.nm_html || '^' || phenotypeTerm.acc_txt || '^' || phenotypeTerm.acc_db_cd as phenotype, phenotypeTerm.id phenotypeId, ( SELECT STRING_AGG(distinct taxonTerm.nm || '^' || 'taxon' || '^' || taxonTerm.nm_html || '^' || taxonTerm.acc_txt || '^' || taxonTerm.acc_db_cd || '^' || COALESCE(taxonTerm.secondary_nm, ''), '|')) as taxonTerms, ( SELECT STRING_AGG(distinct anatomyTerm.nm_html || '^' || anatomyTerm.acc_txt || '^' || ia.level_seq || '^' || anatomyTerm.acc_db_cd || '^' || anatomyTerm.nm, '|')) as anatomyTerms, COUNT(DISTINCT taxonTerm.nm) taxonCount, i.ixn_prose_html ixnProseHtml, i.ixn_prose_txt ixnProse, i.sort_txt ixnSort, ( SELECT STRING_AGG(distinct r.acc_txt, '|')) as references, COUNT(DISTINCT ptr.reference_id) refCount, pt.indirect_term_qty inferredCount, COUNT(*) OVER () fullRowCount from phenotype_term_reference ptr inner join phenotype_term pt on ptr.term_id = pt.term_id and ptr.phenotype_id = pt.phenotype_id inner join term associatedTerm on ptr.term_id = associatedTerm.id inner join term phenotypeTerm on ptr.phenotype_id = phenotypeTerm.id left outer join term taxonTerm on ptr.taxon_id = taxonTerm.id inner join reference r on ptr.reference_id = r.id inner join ixn i on ptr.ixn_id = i.id inner join object_type o on associatedTerm.object_type_id = o.id left outer join ixn_anatomy ia on ptr.ixn_id = ia.ixn_id left outer join term anatomyTerm on ia.anatomy_id = anatomyTerm.id where ptr.term_id IN ( select /* DBConstants.getDAGTermSQL */ distinct dp.descendant_object_id from dag_path dp WHERE dp.ancestor_object_id in ( select distinct id from term baseTerm where object_type_id = 2 and upper(baseTerm.nm) LIKE 'LEAD')) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases', 'decreases', 'affects')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort asc, pt.indirect_term_qty desc LIMIT 50;
Date: 2026-06-04 00:18:45 Duration: 10s129ms Database: ctdprd51 User: pubeu Bind query: yes
3 6s454ms 1 6s454ms 6s454ms 6s454ms vacuum analyze log_query_archive;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Jun 04 00 1 6s454ms 6s454ms -
VACUUM ANALYZE log_query_archive;
Date: 2026-06-04 00:09:25 Duration: 6s454ms
Most frequent queries (N)
Rank Times executed Total duration Min duration Max duration Avg duration Query 1 1 9m16s 9m16s 9m16s 9m16s select maint_query_logs_archive ();Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Jun 04 00 1 9m16s 9m16s [ User: pubc - Total duration: 9m16s - Times executed: 1 ]
[ Application: psql - Total duration: 9m16s - Times executed: 1 ]
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/* * Run daily to prune LOG_QUERY, archive old queries to LOG_QUERY_ARCHIVE * and vacuum/analyze the tables. * * $Id: archive_query_logs.sql 10832 2012-03-19 15:27:11Z mcr $ */ SELECT maint_query_logs_archive ();
Date: 2026-06-04 00:09:18 Duration: 9m16s Database: ctdprd51 User: pubc Application: psql
2 1 10s129ms 10s129ms 10s129ms 10s129ms select distinct associatedterm.nm || ? || o.cd || ? || associatedterm.nm_html || ? || associatedterm.acc_txt || ? || associatedterm.acc_db_cd as associatedterm, associatedterm.id associatedtermid, ptr.ixn_id ixnid, associatedterm.object_type_id || ? || associatedterm.nm_sort associatedtermnmsort, coalesce(associatedterm.secondary_nm, ?) casrn, phenotypeterm.nm || ? || ? || ? || phenotypeterm.nm_html || ? || phenotypeterm.acc_txt || ? || phenotypeterm.acc_db_cd as phenotype, phenotypeterm.id phenotypeid, ( select string_agg(distinct taxonterm.nm || ? || ? || ? || taxonterm.nm_html || ? || taxonterm.acc_txt || ? || taxonterm.acc_db_cd || ? || coalesce(taxonterm.secondary_nm, ?), ?)) as taxonterms, ( select string_agg(distinct anatomyterm.nm_html || ? || anatomyterm.acc_txt || ? || ia.level_seq || ? || anatomyterm.acc_db_cd || ? || anatomyterm.nm, ?)) as anatomyterms, count(distinct taxonterm.nm) taxoncount, i.ixn_prose_html ixnprosehtml, i.ixn_prose_txt ixnprose, i.sort_txt ixnsort, ( select string_agg(distinct r.acc_txt, ?)) as references, count(distinct ptr.reference_id) refcount, pt.indirect_term_qty inferredcount, count(*) over () fullrowcount from phenotype_term_reference ptr inner join phenotype_term pt on ptr.term_id = pt.term_id and ptr.phenotype_id = pt.phenotype_id inner join term associatedterm on ptr.term_id = associatedterm.id inner join term phenotypeterm on ptr.phenotype_id = phenotypeterm.id left outer join term taxonterm on ptr.taxon_id = taxonterm.id inner join reference r on ptr.reference_id = r.id inner join ixn i on ptr.ixn_id = i.id inner join object_type o on associatedterm.object_type_id = o.id left outer join ixn_anatomy ia on ptr.ixn_id = ia.ixn_id left outer join term anatomyterm on ia.anatomy_id = anatomyterm.id where ptr.term_id in ( select distinct dp.descendant_object_id from dag_path dp where dp.ancestor_object_id in ( select distinct id from term baseterm where object_type_id = ? and upper(baseterm.nm) like ?)) and i.id in ( select ixn_id from ixn_axn where action_type_nm = ? and action_degree_type_nm in (...)) group by associatedterm, associatedtermnmsort, phenotype, casrn, ixnid, ixnprosehtml, ixnprose, ixnsort, associatedtermid, phenotypeid, inferredcount order by associatedtermnmsort asc, pt.indirect_term_qty desc limit ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Jun 04 00 1 10s129ms 10s129ms [ User: pubeu - Total duration: 10s129ms - Times executed: 1 ]
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select distinct /* ChemPhenotypesAssnsDAO */ associatedTerm.nm || '^' || o.cd || '^' || associatedTerm.nm_html || '^' || associatedTerm.acc_txt || '^' || associatedTerm.acc_db_cd as associatedTerm, associatedTerm.id associatedTermId, ptr.ixn_id ixnId, associatedTerm.object_type_id || '|' || associatedTerm.nm_sort associatedTermNmSort, COALESCE(associatedTerm.secondary_nm, '') casRN, phenotypeTerm.nm || '^' || 'go' || '^' || phenotypeTerm.nm_html || '^' || phenotypeTerm.acc_txt || '^' || phenotypeTerm.acc_db_cd as phenotype, phenotypeTerm.id phenotypeId, ( SELECT STRING_AGG(distinct taxonTerm.nm || '^' || 'taxon' || '^' || taxonTerm.nm_html || '^' || taxonTerm.acc_txt || '^' || taxonTerm.acc_db_cd || '^' || COALESCE(taxonTerm.secondary_nm, ''), '|')) as taxonTerms, ( SELECT STRING_AGG(distinct anatomyTerm.nm_html || '^' || anatomyTerm.acc_txt || '^' || ia.level_seq || '^' || anatomyTerm.acc_db_cd || '^' || anatomyTerm.nm, '|')) as anatomyTerms, COUNT(DISTINCT taxonTerm.nm) taxonCount, i.ixn_prose_html ixnProseHtml, i.ixn_prose_txt ixnProse, i.sort_txt ixnSort, ( SELECT STRING_AGG(distinct r.acc_txt, '|')) as references, COUNT(DISTINCT ptr.reference_id) refCount, pt.indirect_term_qty inferredCount, COUNT(*) OVER () fullRowCount from phenotype_term_reference ptr inner join phenotype_term pt on ptr.term_id = pt.term_id and ptr.phenotype_id = pt.phenotype_id inner join term associatedTerm on ptr.term_id = associatedTerm.id inner join term phenotypeTerm on ptr.phenotype_id = phenotypeTerm.id left outer join term taxonTerm on ptr.taxon_id = taxonTerm.id inner join reference r on ptr.reference_id = r.id inner join ixn i on ptr.ixn_id = i.id inner join object_type o on associatedTerm.object_type_id = o.id left outer join ixn_anatomy ia on ptr.ixn_id = ia.ixn_id left outer join term anatomyTerm on ia.anatomy_id = anatomyTerm.id where ptr.term_id IN ( select /* DBConstants.getDAGTermSQL */ distinct dp.descendant_object_id from dag_path dp WHERE dp.ancestor_object_id in ( select distinct id from term baseTerm where object_type_id = 2 and upper(baseTerm.nm) LIKE 'LEAD')) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases', 'decreases', 'affects')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort asc, pt.indirect_term_qty desc LIMIT 50;
Date: 2026-06-04 00:18:45 Duration: 10s129ms Database: ctdprd51 User: pubeu Bind query: yes
3 1 6s454ms 6s454ms 6s454ms 6s454ms vacuum analyze log_query_archive;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Jun 04 00 1 6s454ms 6s454ms -
VACUUM ANALYZE log_query_archive;
Date: 2026-06-04 00:09:25 Duration: 6s454ms
Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 9m16s 9m16s 9m16s 1 9m16s select maint_query_logs_archive ();Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Jun 04 00 1 9m16s 9m16s [ User: pubc - Total duration: 9m16s - Times executed: 1 ]
[ Application: psql - Total duration: 9m16s - Times executed: 1 ]
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/* * Run daily to prune LOG_QUERY, archive old queries to LOG_QUERY_ARCHIVE * and vacuum/analyze the tables. * * $Id: archive_query_logs.sql 10832 2012-03-19 15:27:11Z mcr $ */ SELECT maint_query_logs_archive ();
Date: 2026-06-04 00:09:18 Duration: 9m16s Database: ctdprd51 User: pubc Application: psql
2 10s129ms 10s129ms 10s129ms 1 10s129ms select distinct associatedterm.nm || ? || o.cd || ? || associatedterm.nm_html || ? || associatedterm.acc_txt || ? || associatedterm.acc_db_cd as associatedterm, associatedterm.id associatedtermid, ptr.ixn_id ixnid, associatedterm.object_type_id || ? || associatedterm.nm_sort associatedtermnmsort, coalesce(associatedterm.secondary_nm, ?) casrn, phenotypeterm.nm || ? || ? || ? || phenotypeterm.nm_html || ? || phenotypeterm.acc_txt || ? || phenotypeterm.acc_db_cd as phenotype, phenotypeterm.id phenotypeid, ( select string_agg(distinct taxonterm.nm || ? || ? || ? || taxonterm.nm_html || ? || taxonterm.acc_txt || ? || taxonterm.acc_db_cd || ? || coalesce(taxonterm.secondary_nm, ?), ?)) as taxonterms, ( select string_agg(distinct anatomyterm.nm_html || ? || anatomyterm.acc_txt || ? || ia.level_seq || ? || anatomyterm.acc_db_cd || ? || anatomyterm.nm, ?)) as anatomyterms, count(distinct taxonterm.nm) taxoncount, i.ixn_prose_html ixnprosehtml, i.ixn_prose_txt ixnprose, i.sort_txt ixnsort, ( select string_agg(distinct r.acc_txt, ?)) as references, count(distinct ptr.reference_id) refcount, pt.indirect_term_qty inferredcount, count(*) over () fullrowcount from phenotype_term_reference ptr inner join phenotype_term pt on ptr.term_id = pt.term_id and ptr.phenotype_id = pt.phenotype_id inner join term associatedterm on ptr.term_id = associatedterm.id inner join term phenotypeterm on ptr.phenotype_id = phenotypeterm.id left outer join term taxonterm on ptr.taxon_id = taxonterm.id inner join reference r on ptr.reference_id = r.id inner join ixn i on ptr.ixn_id = i.id inner join object_type o on associatedterm.object_type_id = o.id left outer join ixn_anatomy ia on ptr.ixn_id = ia.ixn_id left outer join term anatomyterm on ia.anatomy_id = anatomyterm.id where ptr.term_id in ( select distinct dp.descendant_object_id from dag_path dp where dp.ancestor_object_id in ( select distinct id from term baseterm where object_type_id = ? and upper(baseterm.nm) like ?)) and i.id in ( select ixn_id from ixn_axn where action_type_nm = ? and action_degree_type_nm in (...)) group by associatedterm, associatedtermnmsort, phenotype, casrn, ixnid, ixnprosehtml, ixnprose, ixnsort, associatedtermid, phenotypeid, inferredcount order by associatedtermnmsort asc, pt.indirect_term_qty desc limit ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Jun 04 00 1 10s129ms 10s129ms [ User: pubeu - Total duration: 10s129ms - Times executed: 1 ]
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select distinct /* ChemPhenotypesAssnsDAO */ associatedTerm.nm || '^' || o.cd || '^' || associatedTerm.nm_html || '^' || associatedTerm.acc_txt || '^' || associatedTerm.acc_db_cd as associatedTerm, associatedTerm.id associatedTermId, ptr.ixn_id ixnId, associatedTerm.object_type_id || '|' || associatedTerm.nm_sort associatedTermNmSort, COALESCE(associatedTerm.secondary_nm, '') casRN, phenotypeTerm.nm || '^' || 'go' || '^' || phenotypeTerm.nm_html || '^' || phenotypeTerm.acc_txt || '^' || phenotypeTerm.acc_db_cd as phenotype, phenotypeTerm.id phenotypeId, ( SELECT STRING_AGG(distinct taxonTerm.nm || '^' || 'taxon' || '^' || taxonTerm.nm_html || '^' || taxonTerm.acc_txt || '^' || taxonTerm.acc_db_cd || '^' || COALESCE(taxonTerm.secondary_nm, ''), '|')) as taxonTerms, ( SELECT STRING_AGG(distinct anatomyTerm.nm_html || '^' || anatomyTerm.acc_txt || '^' || ia.level_seq || '^' || anatomyTerm.acc_db_cd || '^' || anatomyTerm.nm, '|')) as anatomyTerms, COUNT(DISTINCT taxonTerm.nm) taxonCount, i.ixn_prose_html ixnProseHtml, i.ixn_prose_txt ixnProse, i.sort_txt ixnSort, ( SELECT STRING_AGG(distinct r.acc_txt, '|')) as references, COUNT(DISTINCT ptr.reference_id) refCount, pt.indirect_term_qty inferredCount, COUNT(*) OVER () fullRowCount from phenotype_term_reference ptr inner join phenotype_term pt on ptr.term_id = pt.term_id and ptr.phenotype_id = pt.phenotype_id inner join term associatedTerm on ptr.term_id = associatedTerm.id inner join term phenotypeTerm on ptr.phenotype_id = phenotypeTerm.id left outer join term taxonTerm on ptr.taxon_id = taxonTerm.id inner join reference r on ptr.reference_id = r.id inner join ixn i on ptr.ixn_id = i.id inner join object_type o on associatedTerm.object_type_id = o.id left outer join ixn_anatomy ia on ptr.ixn_id = ia.ixn_id left outer join term anatomyTerm on ia.anatomy_id = anatomyTerm.id where ptr.term_id IN ( select /* DBConstants.getDAGTermSQL */ distinct dp.descendant_object_id from dag_path dp WHERE dp.ancestor_object_id in ( select distinct id from term baseTerm where object_type_id = 2 and upper(baseTerm.nm) LIKE 'LEAD')) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases', 'decreases', 'affects')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort asc, pt.indirect_term_qty desc LIMIT 50;
Date: 2026-06-04 00:18:45 Duration: 10s129ms Database: ctdprd51 User: pubeu Bind query: yes
3 6s454ms 6s454ms 6s454ms 1 6s454ms vacuum analyze log_query_archive;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Jun 04 00 1 6s454ms 6s454ms -
VACUUM ANALYZE log_query_archive;
Date: 2026-06-04 00:09:25 Duration: 6s454ms
Time consuming prepare
Rank Total duration Times executed Min duration Max duration Avg duration Query NO DATASET
Time consuming bind
Rank Total duration Times executed Min duration Max duration Avg duration Query NO DATASET
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Events
Log levels
Key values
- 1,139 Event entries
- (EVENTLOG entries are formaly LOG level entries that are not queries)
Events distribution (except queries)
Key values
- 0 PANIC entries
- 0 FATAL entries
- 0 ERROR entries
- 0 WARNING entries
- 5 EVENTLOG entries
Most Frequent Errors/Events
Key values
- 5 Max number of times the same event was reported
- 5 Total events found
Rank Times reported Error 1 5 LOG: could not receive data from client: Connection timed out
Times Reported Most Frequent Error / Event #1
Day Hour Count Jun 04 01 3 02 2