pgBadger-
Global information
- Generated on Wed Sep 10 04:10:04 2025
- Log file: /project/archive/log/postgres/dbdev51/postgresql.log-20250909
- Parsed 31 log entries in 2s
- Log start from 2025-09-09 10:43:56 to 2025-09-09 12:28:30
-
Overview
Global Stats
- 2 Number of unique normalized queries
- 2 Number of queries
- 1m50s Total query duration
- 2025-09-09 10:45:09 First query
- 2025-09-09 12:28:30 Last query
- 1 queries/s at 2025-09-09 10:45:09 Query peak
- 1m50s Total query duration
- 0ms Prepare/parse total duration
- 0ms Bind total duration
- 1m50s Execute total duration
- 0 Number of events
- 0 Number of unique normalized events
- 0 Max number of times the same event was reported
- 0 Number of cancellation
- 0 Total number of automatic vacuums
- 0 Total number of automatic analyzes
- 0 Number temporary file
- 0 Max size of temporary file
- 0.00 B Average size of temporary file
- 1 Total number of sessions
- 3 sessions at 2025-09-09 10:43:57 Session peak
- 1s734ms Total duration of sessions
- 1s734ms Average duration of sessions
- 2 Average queries per session
- 1m50s Average queries duration per session
- 0ms Average idle time per session
- 4 Total number of connections
- 2 connections/s at 2025-09-09 10:43:58 Connection peak
- 2 Total number of databases
SQL Traffic
Key values
- 1 queries/s Query Peak
- 2025-09-09 10:45:09 Date
SELECT Traffic
Key values
- 1 queries/s Query Peak
- 2025-09-09 10:45:09 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 0 queries/s Query Peak
- Date
Queries duration
Key values
- 1m50s 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) Sep 09 10 1 0ms 6s745ms 6s745ms 6s745ms 6s745ms 6s745ms 12 1 1m43s 1m43s 1m43s 1m43s 1m43s 1m43s Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Sep 09 10 1 0 6s745ms 6s745ms 6s745ms 6s745ms 12 1 0 1m43s 1m43s 1m43s 1m43s Day Hour INSERT UPDATE DELETE COPY FROM Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Sep 09 10 0 0 0 0 0ms 0ms 0ms 0ms 12 0 0 0 0 0ms 0ms 0ms 0ms Day Hour Prepare Bind Bind/Prepare Percentage of prepare Sep 09 10 0 0 0.00 0.00% 12 0 0 0.00 0.00% Day Hour Count Average / Second Sep 09 10 4 0.00/s 12 0 0.00/s Day Hour Count Average Duration Average idle time Sep 09 10 1 1s734ms 0ms 12 0 0ms 0ms -
Connections
Established Connections
Key values
- 2 connections Connection Peak
- 2025-09-09 10:43:58 Date
Connections per database
Key values
- ctddev51 Main Database
- 4 connections Total
-
Sessions
Simultaneous sessions
Key values
- 3 sessions Session Peak
- 2025-09-09 10:43:57 Date
Histogram of session times
Key values
- 1 1000-30000ms duration
Sessions per database
Key values
- ctddev51 Main Database
- 1 sessions Total
Sessions per user
Key values
- pub1 Main User
- 1 sessions Total
Sessions per host
Key values
- 192.168.201.10 Main Host
- 1 sessions Total
-
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 Sep 09 10 0 0s 0s 0s 12 0 0s 0s 0s Day Hour Added Removed Recycled Synced files Longest sync Average sync Sep 09 10 0 0 0 0 0s 0s 12 0 0 0 0 0s 0s Day Hour Count Avg time (sec) Sep 09 10 0 0s 12 0 0s Day Hour Mean distance Mean estimate Sep 09 10 0.00 kB 0.00 kB 12 0.00 kB 0.00 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 Sep 09 10 0 0 0 12 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
Autovacuum actions (5 minutes period)
NO DATASET
Average Autovacuum Duration
Key values
- 0 sec Highest CPU-cost vacuum
Table
Database - Date
Average Autovacuum Duration (5 minutes average)
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 Sep 09 10 0 0 12 0 0 - 0 sec Highest CPU-cost vacuum
-
Locks
Locks by types
Key values
- unknown Main Lock Type
- 0 locks Total
Most frequent waiting queries (N)
Rank Count Total time Min time Max time Avg duration Query NO DATASET
Queries that waited the most
Rank Wait time Query NO DATASET
-
Queries
Queries by type
Key values
- 2 Total read queries
- 0 Total write queries
Queries by database
Key values
- ctddev51 Main database
- 1 Requests
- 1m43s (unknown)
- Main time consuming database
Queries by user
Key values
- pub1 Main user
- 1 Requests
User Request type Count Duration pub1 Total 1 6s745ms select 1 6s745ms unknown Total 1 1m43s select 1 1m43s Duration by user
Key values
- 1m43s (unknown) Main time consuming user
User Request type Count Duration pub1 Total 1 6s745ms select 1 6s745ms unknown Total 1 1m43s select 1 1m43s Queries by host
Key values
- unknown Main host
- 2 Requests
- 1m50s (unknown)
- Main time consuming host
Queries by application
Key values
- pgAdmin 4 - CONN:5586709 Main application
- 1 Requests
- 1m43s (unknown)
- Main time consuming application
Number of cancelled queries
Key values
- 0 per second Cancelled query Peak
- 2025-09-09 10:45:09 Date
Number of cancelled queries (5 minutes period)
NO DATASET
-
Top Queries
Histogram of query times
Key values
- 1 1000-10000ms duration
Slowest individual queries
Rank Duration Query 1 1m43s SELECT --/* AllCuratedCDRelationsDAO */\n") c.nm AS ChemicalName, c.acc_txt AS ChemicalID, c.secondary_nm AS CasRN, d.nm AS DiseaseName, d.acc_db_cd || ':' || d.acc_txt AS DiseaseID, a.action_type_nm AS DirectEvidence -- ,g.nm AS InferenceGeneSymbol -- get rid of this -- ,cdr.network_score AS InferenceScore -- get rid of this , -- ,STRING_AGG(cdr.source_acc_txt, '|' ORDER BY cdr.source_acc_txt) AS OmimIDs STRING_AGG(r.acc_txt, '|' ORDER BY r.acc_txt) AS PubMedIDs FROM chem_disease_reference cdr INNER JOIN term d ON cdr.disease_id = d.id INNER JOIN term c ON cdr.chem_id = c.id LEFT OUTER JOIN chem_disease_reference_axn a ON cdr.id = a.chem_disease_reference_id LEFT OUTER JOIN reference r ON cdr.reference_id = r.id -- LEFT OUTER JOIN term g ON cdr.via_gene_id = g.id -- WHERE cdr.source_cd = 'C' -- add this in to only get curated -- AND cdr.source_acc_txt is NOT null -- this is null for all curated, only if omim inferred GROUP BY c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ':' || d.acc_txt, a.action_type_nm -- ,g.nm -- ,cdr.network_score ORDER BY c.nm_sort, d.nm;[ Date: 2025-09-09 12:28:30 ]
2 6s745ms SELECT --/* AllCuratedCDRelationsDAO */\n") c.nm AS ChemicalName, c.acc_txt AS ChemicalID, c.secondary_nm AS CasRN, d.nm AS DiseaseName, d.acc_db_cd || ':' || d.acc_txt AS DiseaseID, a.action_type_nm AS DirectEvidence -- ,g.nm AS InferenceGeneSymbol -- get rid of this -- ,cdr.network_score AS InferenceScore -- get rid of this , -- ,STRING_AGG(cdr.source_acc_txt, '|' ORDER BY cdr.source_acc_txt) AS OmimIDs STRING_AGG(r.acc_txt, '|' ORDER BY r.acc_txt) AS PubMedIDs FROM chem_disease_reference cdr INNER JOIN term d ON cdr.disease_id = d.id INNER JOIN term c ON cdr.chem_id = c.id LEFT OUTER JOIN chem_disease_reference_axn a ON cdr.id = a.chem_disease_reference_id LEFT OUTER JOIN reference r ON cdr.reference_id = r.id -- LEFT OUTER JOIN term g ON cdr.via_gene_id = g.id WHERE cdr.source_cd = 'C' -- add this in to only get curated -- AND cdr.source_acc_txt is NOT null -- this is null for all curated, only if omim inferred GROUP BY c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ':' || d.acc_txt, a.action_type_nm -- ,g.nm -- ,cdr.network_score ORDER BY c.nm_sort, d.nm;[ Date: 2025-09-09 10:45:09 - Database: ctddev51 - User: pub1 - Application: pgAdmin 4 - CONN:5586709 ]
Time consuming queries (N)
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 1m43s 1 1m43s 1m43s 1m43s select c.nm as chemicalname, c.acc_txt as chemicalid, c.secondary_nm as casrn, d.nm as diseasename, d.acc_db_cd || ? || d.acc_txt as diseaseid, a.action_type_nm as directevidence, string_agg(r.acc_txt, ? order by r.acc_txt) as pubmedids from chem_disease_reference cdr inner join term d on cdr.disease_id = d.id inner join term c on cdr.chem_id = c.id left outer join chem_disease_reference_axn a on cdr.id = a.chem_disease_reference_id left outer join reference r on cdr.reference_id = r.id group by c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ? || d.acc_txt, a.action_type_nm order by c.nm_sort, d.nm;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Sep 09 12 1 1m43s 1m43s -
SELECT --/* AllCuratedCDRelationsDAO */\n") c.nm AS ChemicalName, c.acc_txt AS ChemicalID, c.secondary_nm AS CasRN, d.nm AS DiseaseName, d.acc_db_cd || ':' || d.acc_txt AS DiseaseID, a.action_type_nm AS DirectEvidence -- ,g.nm AS InferenceGeneSymbol -- get rid of this -- ,cdr.network_score AS InferenceScore -- get rid of this , -- ,STRING_AGG(cdr.source_acc_txt, '|' ORDER BY cdr.source_acc_txt) AS OmimIDs STRING_AGG(r.acc_txt, '|' ORDER BY r.acc_txt) AS PubMedIDs FROM chem_disease_reference cdr INNER JOIN term d ON cdr.disease_id = d.id INNER JOIN term c ON cdr.chem_id = c.id LEFT OUTER JOIN chem_disease_reference_axn a ON cdr.id = a.chem_disease_reference_id LEFT OUTER JOIN reference r ON cdr.reference_id = r.id -- LEFT OUTER JOIN term g ON cdr.via_gene_id = g.id -- WHERE cdr.source_cd = 'C' -- add this in to only get curated -- AND cdr.source_acc_txt is NOT null -- this is null for all curated, only if omim inferred GROUP BY c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ':' || d.acc_txt, a.action_type_nm -- ,g.nm -- ,cdr.network_score ORDER BY c.nm_sort, d.nm;
Date: 2025-09-09 12:28:30 Duration: 1m43s
2 6s745ms 1 6s745ms 6s745ms 6s745ms select c.nm as chemicalname, c.acc_txt as chemicalid, c.secondary_nm as casrn, d.nm as diseasename, d.acc_db_cd || ? || d.acc_txt as diseaseid, a.action_type_nm as directevidence, string_agg(r.acc_txt, ? order by r.acc_txt) as pubmedids from chem_disease_reference cdr inner join term d on cdr.disease_id = d.id inner join term c on cdr.chem_id = c.id left outer join chem_disease_reference_axn a on cdr.id = a.chem_disease_reference_id left outer join reference r on cdr.reference_id = r.id where cdr.source_cd = ? group by c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ? || d.acc_txt, a.action_type_nm order by c.nm_sort, d.nm;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Sep 09 10 1 6s745ms 6s745ms [ User: pub1 - Total duration: 6s745ms - Times executed: 1 ]
[ Application: pgAdmin 4 - CONN:5586709 - Total duration: 6s745ms - Times executed: 1 ]
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SELECT --/* AllCuratedCDRelationsDAO */\n") c.nm AS ChemicalName, c.acc_txt AS ChemicalID, c.secondary_nm AS CasRN, d.nm AS DiseaseName, d.acc_db_cd || ':' || d.acc_txt AS DiseaseID, a.action_type_nm AS DirectEvidence -- ,g.nm AS InferenceGeneSymbol -- get rid of this -- ,cdr.network_score AS InferenceScore -- get rid of this , -- ,STRING_AGG(cdr.source_acc_txt, '|' ORDER BY cdr.source_acc_txt) AS OmimIDs STRING_AGG(r.acc_txt, '|' ORDER BY r.acc_txt) AS PubMedIDs FROM chem_disease_reference cdr INNER JOIN term d ON cdr.disease_id = d.id INNER JOIN term c ON cdr.chem_id = c.id LEFT OUTER JOIN chem_disease_reference_axn a ON cdr.id = a.chem_disease_reference_id LEFT OUTER JOIN reference r ON cdr.reference_id = r.id -- LEFT OUTER JOIN term g ON cdr.via_gene_id = g.id WHERE cdr.source_cd = 'C' -- add this in to only get curated -- AND cdr.source_acc_txt is NOT null -- this is null for all curated, only if omim inferred GROUP BY c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ':' || d.acc_txt, a.action_type_nm -- ,g.nm -- ,cdr.network_score ORDER BY c.nm_sort, d.nm;
Date: 2025-09-09 10:45:09 Duration: 6s745ms Database: ctddev51 User: pub1 Application: pgAdmin 4 - CONN:5586709
Most frequent queries (N)
Rank Times executed Total duration Min duration Max duration Avg duration Query 1 1 1m43s 1m43s 1m43s 1m43s select c.nm as chemicalname, c.acc_txt as chemicalid, c.secondary_nm as casrn, d.nm as diseasename, d.acc_db_cd || ? || d.acc_txt as diseaseid, a.action_type_nm as directevidence, string_agg(r.acc_txt, ? order by r.acc_txt) as pubmedids from chem_disease_reference cdr inner join term d on cdr.disease_id = d.id inner join term c on cdr.chem_id = c.id left outer join chem_disease_reference_axn a on cdr.id = a.chem_disease_reference_id left outer join reference r on cdr.reference_id = r.id group by c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ? || d.acc_txt, a.action_type_nm order by c.nm_sort, d.nm;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Sep 09 12 1 1m43s 1m43s -
SELECT --/* AllCuratedCDRelationsDAO */\n") c.nm AS ChemicalName, c.acc_txt AS ChemicalID, c.secondary_nm AS CasRN, d.nm AS DiseaseName, d.acc_db_cd || ':' || d.acc_txt AS DiseaseID, a.action_type_nm AS DirectEvidence -- ,g.nm AS InferenceGeneSymbol -- get rid of this -- ,cdr.network_score AS InferenceScore -- get rid of this , -- ,STRING_AGG(cdr.source_acc_txt, '|' ORDER BY cdr.source_acc_txt) AS OmimIDs STRING_AGG(r.acc_txt, '|' ORDER BY r.acc_txt) AS PubMedIDs FROM chem_disease_reference cdr INNER JOIN term d ON cdr.disease_id = d.id INNER JOIN term c ON cdr.chem_id = c.id LEFT OUTER JOIN chem_disease_reference_axn a ON cdr.id = a.chem_disease_reference_id LEFT OUTER JOIN reference r ON cdr.reference_id = r.id -- LEFT OUTER JOIN term g ON cdr.via_gene_id = g.id -- WHERE cdr.source_cd = 'C' -- add this in to only get curated -- AND cdr.source_acc_txt is NOT null -- this is null for all curated, only if omim inferred GROUP BY c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ':' || d.acc_txt, a.action_type_nm -- ,g.nm -- ,cdr.network_score ORDER BY c.nm_sort, d.nm;
Date: 2025-09-09 12:28:30 Duration: 1m43s
2 1 6s745ms 6s745ms 6s745ms 6s745ms select c.nm as chemicalname, c.acc_txt as chemicalid, c.secondary_nm as casrn, d.nm as diseasename, d.acc_db_cd || ? || d.acc_txt as diseaseid, a.action_type_nm as directevidence, string_agg(r.acc_txt, ? order by r.acc_txt) as pubmedids from chem_disease_reference cdr inner join term d on cdr.disease_id = d.id inner join term c on cdr.chem_id = c.id left outer join chem_disease_reference_axn a on cdr.id = a.chem_disease_reference_id left outer join reference r on cdr.reference_id = r.id where cdr.source_cd = ? group by c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ? || d.acc_txt, a.action_type_nm order by c.nm_sort, d.nm;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Sep 09 10 1 6s745ms 6s745ms [ User: pub1 - Total duration: 6s745ms - Times executed: 1 ]
[ Application: pgAdmin 4 - CONN:5586709 - Total duration: 6s745ms - Times executed: 1 ]
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SELECT --/* AllCuratedCDRelationsDAO */\n") c.nm AS ChemicalName, c.acc_txt AS ChemicalID, c.secondary_nm AS CasRN, d.nm AS DiseaseName, d.acc_db_cd || ':' || d.acc_txt AS DiseaseID, a.action_type_nm AS DirectEvidence -- ,g.nm AS InferenceGeneSymbol -- get rid of this -- ,cdr.network_score AS InferenceScore -- get rid of this , -- ,STRING_AGG(cdr.source_acc_txt, '|' ORDER BY cdr.source_acc_txt) AS OmimIDs STRING_AGG(r.acc_txt, '|' ORDER BY r.acc_txt) AS PubMedIDs FROM chem_disease_reference cdr INNER JOIN term d ON cdr.disease_id = d.id INNER JOIN term c ON cdr.chem_id = c.id LEFT OUTER JOIN chem_disease_reference_axn a ON cdr.id = a.chem_disease_reference_id LEFT OUTER JOIN reference r ON cdr.reference_id = r.id -- LEFT OUTER JOIN term g ON cdr.via_gene_id = g.id WHERE cdr.source_cd = 'C' -- add this in to only get curated -- AND cdr.source_acc_txt is NOT null -- this is null for all curated, only if omim inferred GROUP BY c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ':' || d.acc_txt, a.action_type_nm -- ,g.nm -- ,cdr.network_score ORDER BY c.nm_sort, d.nm;
Date: 2025-09-09 10:45:09 Duration: 6s745ms Database: ctddev51 User: pub1 Application: pgAdmin 4 - CONN:5586709
Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 1m43s 1m43s 1m43s 1 1m43s select c.nm as chemicalname, c.acc_txt as chemicalid, c.secondary_nm as casrn, d.nm as diseasename, d.acc_db_cd || ? || d.acc_txt as diseaseid, a.action_type_nm as directevidence, string_agg(r.acc_txt, ? order by r.acc_txt) as pubmedids from chem_disease_reference cdr inner join term d on cdr.disease_id = d.id inner join term c on cdr.chem_id = c.id left outer join chem_disease_reference_axn a on cdr.id = a.chem_disease_reference_id left outer join reference r on cdr.reference_id = r.id group by c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ? || d.acc_txt, a.action_type_nm order by c.nm_sort, d.nm;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Sep 09 12 1 1m43s 1m43s -
SELECT --/* AllCuratedCDRelationsDAO */\n") c.nm AS ChemicalName, c.acc_txt AS ChemicalID, c.secondary_nm AS CasRN, d.nm AS DiseaseName, d.acc_db_cd || ':' || d.acc_txt AS DiseaseID, a.action_type_nm AS DirectEvidence -- ,g.nm AS InferenceGeneSymbol -- get rid of this -- ,cdr.network_score AS InferenceScore -- get rid of this , -- ,STRING_AGG(cdr.source_acc_txt, '|' ORDER BY cdr.source_acc_txt) AS OmimIDs STRING_AGG(r.acc_txt, '|' ORDER BY r.acc_txt) AS PubMedIDs FROM chem_disease_reference cdr INNER JOIN term d ON cdr.disease_id = d.id INNER JOIN term c ON cdr.chem_id = c.id LEFT OUTER JOIN chem_disease_reference_axn a ON cdr.id = a.chem_disease_reference_id LEFT OUTER JOIN reference r ON cdr.reference_id = r.id -- LEFT OUTER JOIN term g ON cdr.via_gene_id = g.id -- WHERE cdr.source_cd = 'C' -- add this in to only get curated -- AND cdr.source_acc_txt is NOT null -- this is null for all curated, only if omim inferred GROUP BY c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ':' || d.acc_txt, a.action_type_nm -- ,g.nm -- ,cdr.network_score ORDER BY c.nm_sort, d.nm;
Date: 2025-09-09 12:28:30 Duration: 1m43s
2 6s745ms 6s745ms 6s745ms 1 6s745ms select c.nm as chemicalname, c.acc_txt as chemicalid, c.secondary_nm as casrn, d.nm as diseasename, d.acc_db_cd || ? || d.acc_txt as diseaseid, a.action_type_nm as directevidence, string_agg(r.acc_txt, ? order by r.acc_txt) as pubmedids from chem_disease_reference cdr inner join term d on cdr.disease_id = d.id inner join term c on cdr.chem_id = c.id left outer join chem_disease_reference_axn a on cdr.id = a.chem_disease_reference_id left outer join reference r on cdr.reference_id = r.id where cdr.source_cd = ? group by c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ? || d.acc_txt, a.action_type_nm order by c.nm_sort, d.nm;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Sep 09 10 1 6s745ms 6s745ms [ User: pub1 - Total duration: 6s745ms - Times executed: 1 ]
[ Application: pgAdmin 4 - CONN:5586709 - Total duration: 6s745ms - Times executed: 1 ]
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SELECT --/* AllCuratedCDRelationsDAO */\n") c.nm AS ChemicalName, c.acc_txt AS ChemicalID, c.secondary_nm AS CasRN, d.nm AS DiseaseName, d.acc_db_cd || ':' || d.acc_txt AS DiseaseID, a.action_type_nm AS DirectEvidence -- ,g.nm AS InferenceGeneSymbol -- get rid of this -- ,cdr.network_score AS InferenceScore -- get rid of this , -- ,STRING_AGG(cdr.source_acc_txt, '|' ORDER BY cdr.source_acc_txt) AS OmimIDs STRING_AGG(r.acc_txt, '|' ORDER BY r.acc_txt) AS PubMedIDs FROM chem_disease_reference cdr INNER JOIN term d ON cdr.disease_id = d.id INNER JOIN term c ON cdr.chem_id = c.id LEFT OUTER JOIN chem_disease_reference_axn a ON cdr.id = a.chem_disease_reference_id LEFT OUTER JOIN reference r ON cdr.reference_id = r.id -- LEFT OUTER JOIN term g ON cdr.via_gene_id = g.id WHERE cdr.source_cd = 'C' -- add this in to only get curated -- AND cdr.source_acc_txt is NOT null -- this is null for all curated, only if omim inferred GROUP BY c.nm, c.nm_sort, c.acc_txt, c.secondary_nm, d.nm, d.acc_db_cd || ':' || d.acc_txt, a.action_type_nm -- ,g.nm -- ,cdr.network_score ORDER BY c.nm_sort, d.nm;
Date: 2025-09-09 10:45:09 Duration: 6s745ms Database: ctddev51 User: pub1 Application: pgAdmin 4 - CONN:5586709
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
- 15 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
- 0 EVENTLOG entries
Events per 5 minutes
NO DATASET
Most Frequent Errors/Events
Key values
- 0 Max number of times the same event was reported
- 0 Total events found
Rank Times reported Error NO DATASET