pgBadger-
Global information
- Generated on Tue May 28 04:10:03 2024
- Log file: /project/archive/log/postgres/dbdev51/postgresql.log-20240527
- Parsed 15,399 log entries in 2s
- Log start from 2024-05-27 00:03:17 to 2024-05-27 23:59:45
-
Overview
Global Stats
- 26 Number of unique normalized queries
- 52 Number of queries
- 10m5s Total query duration
- 2024-05-27 05:45:12 First query
- 2024-05-27 15:21:48 Last query
- 1 queries/s at 2024-05-27 13:11:24 Query peak
- 10m5s Total query duration
- 0ms Prepare/parse total duration
- 0ms Bind total duration
- 10m5s Execute total duration
- 8 Number of events
- 6 Number of unique normalized events
- 2 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
- 1,895 Total number of sessions
- 46 sessions at 2024-05-27 16:25:56 Session peak
- 39d23h29m21s Total duration of sessions
- 30m22s Average duration of sessions
- 0 Average queries per session
- 319ms Average queries duration per session
- 30m22s Average idle time per session
- 1,904 Total number of connections
- 9 connections/s at 2024-05-27 05:45:08 Connection peak
- 2 Total number of databases
SQL Traffic
Key values
- 1 queries/s Query Peak
- 2024-05-27 13:11:24 Date
SELECT Traffic
Key values
- 1 queries/s Query Peak
- 2024-05-27 13:11:24 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 1 queries/s Query Peak
- 2024-05-27 05:45:12 Date
Queries duration
Key values
- 10m5s 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) May 27 00 0 0ms 0ms 0ms 0ms 0ms 0ms 01 0 0ms 0ms 0ms 0ms 0ms 0ms 02 0 0ms 0ms 0ms 0ms 0ms 0ms 03 0 0ms 0ms 0ms 0ms 0ms 0ms 04 0 0ms 0ms 0ms 0ms 0ms 0ms 05 23 0ms 4s263ms 2s190ms 0ms 20s242ms 26s688ms 06 0 0ms 0ms 0ms 0ms 0ms 0ms 07 0 0ms 0ms 0ms 0ms 0ms 0ms 08 0 0ms 0ms 0ms 0ms 0ms 0ms 09 0 0ms 0ms 0ms 0ms 0ms 0ms 10 3 0ms 2s93ms 1s846ms 0ms 1s580ms 3s959ms 11 0 0ms 0ms 0ms 0ms 0ms 0ms 12 0 0ms 0ms 0ms 0ms 0ms 0ms 13 18 0ms 1m13s 16s333ms 29s547ms 1m12s 1m18s 14 7 0ms 1m12s 25s978ms 4s195ms 1m12s 1m12s 15 1 0ms 1m13s 1m13s 0ms 0ms 1m13s 16 0 0ms 0ms 0ms 0ms 0ms 0ms 17 0 0ms 0ms 0ms 0ms 0ms 0ms 18 0 0ms 0ms 0ms 0ms 0ms 0ms 19 0 0ms 0ms 0ms 0ms 0ms 0ms 20 0 0ms 0ms 0ms 0ms 0ms 0ms 21 0 0ms 0ms 0ms 0ms 0ms 0ms 22 0 0ms 0ms 0ms 0ms 0ms 0ms 23 0 0ms 0ms 0ms 0ms 0ms 0ms Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) May 27 00 0 0 0ms 0ms 0ms 0ms 01 0 0 0ms 0ms 0ms 0ms 02 0 0 0ms 0ms 0ms 0ms 03 0 0 0ms 0ms 0ms 0ms 04 0 0 0ms 0ms 0ms 0ms 05 22 0 2s133ms 0ms 0ms 26s688ms 06 0 0 0ms 0ms 0ms 0ms 07 0 0 0ms 0ms 0ms 0ms 08 0 0 0ms 0ms 0ms 0ms 09 0 0 0ms 0ms 0ms 0ms 10 3 0 1s846ms 0ms 0ms 3s959ms 11 0 0 0ms 0ms 0ms 0ms 12 0 0 0ms 0ms 0ms 0ms 13 18 0 16s333ms 3s772ms 29s547ms 1m18s 14 7 0 25s978ms 0ms 4s195ms 1m12s 15 1 0 1m13s 0ms 0ms 1m13s 16 0 0 0ms 0ms 0ms 0ms 17 0 0 0ms 0ms 0ms 0ms 18 0 0 0ms 0ms 0ms 0ms 19 0 0 0ms 0ms 0ms 0ms 20 0 0 0ms 0ms 0ms 0ms 21 0 0 0ms 0ms 0ms 0ms 22 0 0 0ms 0ms 0ms 0ms 23 0 0 0ms 0ms 0ms 0ms Day Hour INSERT UPDATE DELETE COPY FROM Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) May 27 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 04 0 0 0 0 0ms 0ms 0ms 0ms 05 0 0 0 0 0ms 0ms 0ms 0ms 06 0 0 0 0 0ms 0ms 0ms 0ms 07 0 0 0 0 0ms 0ms 0ms 0ms 08 0 0 0 0 0ms 0ms 0ms 0ms 09 0 0 0 0 0ms 0ms 0ms 0ms 10 0 0 0 0 0ms 0ms 0ms 0ms 11 0 0 0 0 0ms 0ms 0ms 0ms 12 0 0 0 0 0ms 0ms 0ms 0ms 13 0 0 0 0 0ms 0ms 0ms 0ms 14 0 0 0 0 0ms 0ms 0ms 0ms 15 0 0 0 0 0ms 0ms 0ms 0ms 16 0 0 0 0 0ms 0ms 0ms 0ms 17 0 0 0 0 0ms 0ms 0ms 0ms 18 0 0 0 0 0ms 0ms 0ms 0ms 19 0 0 0 0 0ms 0ms 0ms 0ms 20 0 0 0 0 0ms 0ms 0ms 0ms 21 0 0 0 0 0ms 0ms 0ms 0ms 22 0 0 0 0 0ms 0ms 0ms 0ms 23 0 0 0 0 0ms 0ms 0ms 0ms Day Hour Prepare Bind Bind/Prepare Percentage of prepare May 27 00 0 0 0.00 0.00% 01 0 0 0.00 0.00% 02 0 0 0.00 0.00% 03 0 0 0.00 0.00% 04 0 0 0.00 0.00% 05 0 23 23.00 0.00% 06 0 0 0.00 0.00% 07 0 0 0.00 0.00% 08 0 0 0.00 0.00% 09 0 0 0.00 0.00% 10 0 0 0.00 0.00% 11 0 0 0.00 0.00% 12 0 0 0.00 0.00% 13 0 18 18.00 0.00% 14 0 7 7.00 0.00% 15 0 1 1.00 0.00% 16 0 0 0.00 0.00% 17 0 0 0.00 0.00% 18 0 0 0.00 0.00% 19 0 0 0.00 0.00% 20 0 0 0.00 0.00% 21 0 0 0.00 0.00% 22 0 0 0.00 0.00% 23 0 0 0.00 0.00% Day Hour Count Average / Second May 27 00 79 0.02/s 01 80 0.02/s 02 79 0.02/s 03 79 0.02/s 04 79 0.02/s 05 84 0.02/s 06 79 0.02/s 07 80 0.02/s 08 80 0.02/s 09 79 0.02/s 10 81 0.02/s 11 79 0.02/s 12 79 0.02/s 13 88 0.02/s 14 77 0.02/s 15 78 0.02/s 16 83 0.02/s 17 78 0.02/s 18 74 0.02/s 19 77 0.02/s 20 73 0.02/s 21 80 0.02/s 22 79 0.02/s 23 80 0.02/s Day Hour Count Average Duration Average idle time May 27 00 79 30m38s 30m38s 01 80 30m39s 30m39s 02 79 30m42s 30m42s 03 79 30m38s 30m38s 04 79 30m39s 30m39s 05 84 28m44s 28m44s 06 79 30m36s 30m36s 07 80 30m40s 30m40s 08 80 30m42s 30m42s 09 79 30m38s 30m38s 10 78 30m40s 30m40s 11 79 30m46s 30m46s 12 79 30m50s 30m50s 13 88 27m23s 27m19s 14 77 29m28s 29m26s 15 78 30m17s 30m16s 16 77 30m40s 30m40s 17 78 30m41s 30m41s 18 74 30m43s 30m43s 19 77 30m42s 30m42s 20 73 30m39s 30m39s 21 80 30m38s 30m38s 22 79 30m42s 30m42s 23 80 30m39s 30m39s -
Connections
Established Connections
Key values
- 9 connections Connection Peak
- 2024-05-27 05:45:08 Date
Connections per database
Key values
- ctddev51 Main Database
- 1,904 connections Total
Connections per user
Key values
- editeu Main User
- 1,904 connections Total
-
Sessions
Simultaneous sessions
Key values
- 46 sessions Session Peak
- 2024-05-27 16:25:56 Date
Histogram of session times
Key values
- 1,864 1800000-3600000ms duration
Sessions per database
Key values
- ctddev51 Main Database
- 1,895 sessions Total
Sessions per user
Key values
- editeu Main User
- 1,895 sessions Total
Sessions per host
Key values
- 10.12.5.53 Main Host
- 1,895 sessions Total
-
Checkpoints / Restartpoints
Checkpoints Buffers
Key values
- 57 buffers Checkpoint Peak
- 2024-05-27 12:34:49 Date
- 5.800 seconds Highest write time
- 0.007 seconds Sync time
Checkpoints Wal files
Key values
- 0 files Wal files usage Peak
- 2024-05-27 10:34:44 Date
Checkpoints distance
Key values
- 1.00 Mo Distance Peak
- 2024-05-27 16:34:49 Date
Checkpoints Activity
↑ Back to the top of the Checkpoint Activity tableDay Hour Written buffers Write time Sync time Total time May 27 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 55 5.608s 0.001s 5.672s 07 0 0s 0s 0s 08 0 0s 0s 0s 09 0 0s 0s 0s 10 8 0.996s 0.001s 1.011s 11 0 0s 0s 0s 12 57 5.8s 0.002s 5.816s 13 12 1.389s 0.002s 1.419s 14 6 0.692s 0.001s 0.707s 15 6 0.689s 0.001s 0.704s 16 55 5.603s 0.007s 5.691s 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 May 27 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 1 0 7 0.001s 0.001s 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 3 0.001s 0.001s 11 0 0 0 0 0s 0s 12 0 0 0 43 0.001s 0.001s 13 0 0 0 12 0.001s 0.002s 14 0 0 0 6 0.001s 0.001s 15 0 0 0 6 0.001s 0.001s 16 0 0 0 57 0.001s 0.001s 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) May 27 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 May 27 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 06 347.00 kB 17,509.00 kB 07 0.00 kB 0.00 kB 08 0.00 kB 0.00 kB 09 0.00 kB 0.00 kB 10 5.00 kB 15,758.00 kB 11 0.00 kB 0.00 kB 12 289.00 kB 14,211.00 kB 13 22.00 kB 12,153.50 kB 14 26.00 kB 10,366.00 kB 15 26.00 kB 9,332.00 kB 16 511.00 kB 8,450.00 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
- 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 May 27 00 0 0 0 01 0 0 0 02 0 0 0 03 0 0 0 04 0 0 0 05 0 0 0 06 0 0 0 07 0 0 0 08 0 0 0 09 0 0 0 10 0 0 0 11 0 0 0 12 0 0 0 13 0 0 0 14 0 0 0 15 0 0 0 16 0 0 0 17 0 0 0 18 0 0 0 19 0 0 0 20 0 0 0 21 0 0 0 22 0 0 0 23 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 May 27 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
- 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
- 51 Total read queries
- 1 Total write queries
Queries by database
Key values
- unknown Main database
- 31 Requests
- 6m27s (ctddev51)
- Main time consuming database
Queries by user
Key values
- unknown Main user
- 45 Requests
User Request type Count Duration edit Total 1 2s93ms select 1 2s93ms editeu Total 3 8s785ms select 3 8s785ms pubeu Total 22 6m33s cte 2 6s840ms select 20 6m26s unknown Total 45 4m5s select 45 4m5s Duration by user
Key values
- 6m33s (pubeu) Main time consuming user
User Request type Count Duration edit Total 1 2s93ms select 1 2s93ms editeu Total 3 8s785ms select 3 8s785ms pubeu Total 22 6m33s cte 2 6s840ms select 20 6m26s unknown Total 45 4m5s select 45 4m5s Queries by host
Key values
- unknown Main host
- 71 Requests
- 10m49s (unknown)
- Main time consuming host
Queries by application
Key values
- unknown Main application
- 51 Requests
- 10m3s (unknown)
- Main time consuming application
Number of cancelled queries
Key values
- 0 per second Cancelled query Peak
- 2024-05-27 23:13:57 Date
Number of cancelled queries (5 minutes period)
NO DATASET
-
Top Queries
Histogram of query times
Key values
- 41 1000-10000ms duration
Slowest individual queries
Rank Duration Query 1 1m13s select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;[ Date: 2024-05-27 15:21:48 - Database: ctddev51 - User: pubeu - Bind query: yes ]
2 1m13s select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;[ Date: 2024-05-27 13:12:50 - Database: ctddev51 - User: pubeu - Bind query: yes ]
3 1m12s select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;[ Date: 2024-05-27 13:11:24 - Bind query: yes ]
4 1m12s select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;[ Date: 2024-05-27 14:04:09 - Bind query: yes ]
5 1m12s select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;[ Date: 2024-05-27 14:05:36 - Database: ctddev51 - User: pubeu - Bind query: yes ]
6 29s547ms select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;[ Date: 2024-05-27 13:57:34 - Database: ctddev51 - User: pubeu - Bind query: yes ]
7 29s431ms select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;[ Date: 2024-05-27 13:25:06 - Database: ctddev51 - User: pubeu - Bind query: yes ]
8 29s292ms select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;[ Date: 2024-05-27 13:25:58 - Database: ctddev51 - User: pubeu - Bind query: yes ]
9 29s110ms select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;[ Date: 2024-05-27 13:58:28 - Database: ctddev51 - User: pubeu - Bind query: yes ]
10 15s129ms select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'BREAST NEOPLASMS') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;[ Date: 2024-05-27 14:01:40 - Database: ctddev51 - User: pubeu - Bind query: yes ]
11 14s969ms select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'BREAST NEOPLASMS') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;[ Date: 2024-05-27 14:01:13 - Bind query: yes ]
12 4s367ms select t.ID, t.OBJECT_TYPE_ID, t.ACC_TXT, t.ACC_DB_CD, t.NM, t.NM_SORT, t.SECONDARY_NM, t.DESCRIPTION, t.NOTE, l.NM from pub1.TERM t, pub1.TERM_LABEL l where t.OBJECT_TYPE_ID = 4 and t.id = l.TERM_ID;[ Date: 2024-05-27 13:52:48 - Database: ctddev51 - User: editeu - Bind query: yes ]
13 4s263ms 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 'ZINC')) and ptr.term_object_type_id = 2 and ptr.phenotype_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 = 5 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = 'GO:0006915' AND l.type_cd = 'A' AND l.object_type_id = 5))) and taxonTerm.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 = 1 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = '9606' AND l.type_cd = 'A' AND l.object_type_id = 1))) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort LIMIT 50;[ Date: 2024-05-27 05:48:48 - Bind query: yes ]
14 4s238ms 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 'ACETYLCYSTEINE')) and ptr.term_object_type_id = 2 and ptr.phenotype_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 = 5 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = 'GO:0006979' AND l.type_cd = 'A' AND l.object_type_id = 5))) and i.id in ( select ixn_id from ixn_anatomy where anatomy_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 = 10 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR SYSTEM'))) and taxonTerm.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 = 1 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = '9605' AND l.type_cd = 'A' AND l.object_type_id = 1))) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort LIMIT 50;[ Date: 2024-05-27 05:48:52 - Bind query: yes ]
15 3s937ms SELECT /* BatchChemGODAO */ 'ddt' "Input", sqi.chem_nm "ChemicalName", sqi.chem_acc_txt "ChemicalID", sqi.casRN "CasRN", sqi.gene_symbol "GeneSymbol", sqi.gene_acc_txt "GeneID", sqi.ontology_nm "Ontology", sqi.go_term_nm "GoTermName", sqi.go_acc_txt "GoTermID" FROM ( WITH sq AS ( SELECT DISTINCT c.id chem_id, c.nm chem_nm, c.acc_txt chem_acc_txt, c.secondary_nm casRN, c.nm_sort chem_nm_sort, gcr.gene_id, g.nm gene_symbol, g.acc_txt gene_acc_txt, g.nm_sort gene_symbol_sort FROM term c INNER JOIN gene_chem_reference gcr ON c.id = gcr.chem_id INNER JOIN term g ON gcr.gene_id = g.id WHERE (c.id = 1285538)) SELECT DISTINCT sq.chem_nm, sq.chem_acc_txt, sq.casRN, sq.gene_symbol, sq.gene_acc_txt, gt.nm go_term_nm, gt.acc_txt go_acc_txt, sq.chem_nm_sort, sq.gene_symbol_sort, gt.nm_sort, d.nm ontology_nm FROM sq INNER JOIN gene_go_annot gga ON sq.gene_id = gga.gene_id INNER JOIN dag_node gt ON gga.go_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE gga.is_not = false AND (d.id = 5 OR d.id = 4) ORDER BY sq.chem_nm_sort, sq.gene_symbol_sort, d.nm, gt.nm_sort) sqi;[ Date: 2024-05-27 05:48:26 - Database: ctddev51 - User: pubeu - Bind query: yes ]
16 3s906ms SELECT /* CIQH.getIxnCacheQuery */ gcr.ixn_id, NULL, NULL, NULL FROM gene_chem_reference gcr WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterDiseaseWhereEquals.Name.Gene */ gd.gene_id FROM term t INNER JOIN dag_path dp ON t.id = dp.ancestor_object_id INNER JOIN gene_disease gd ON dp.descendant_object_id = gd.disease_id WHERE UPPER(t.nm) LIKE 'ASTHMA' AND t.object_type_id = 3))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases'));[ Date: 2024-05-27 05:47:19 - Database: ctddev51 - User: pubeu - Bind query: yes ]
17 3s749ms SELECT /* AdvancedGeneQueryDAO.getData */ g.id geneId, g.acc_txt acc, g.nm nm, g.nm nmHtml, g.secondary_nm secondaryNm, g.has_chems hasChems, g.has_diseases hasDiseases, g.has_exposures hasExposures, g.has_phenotypes hasPhenotypes, COUNT(*) OVER () fullRowCount FROM term g WHERE g.id IN ( SELECT gcr.gene_id FROM gene_chem_reference gcr WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterDiseaseWhereEquals.Name.Gene */ gd.gene_id FROM term t INNER JOIN dag_path dp ON t.id = dp.ancestor_object_id INNER JOIN gene_disease gd ON dp.descendant_object_id = gd.disease_id WHERE UPPER(t.nm) LIKE 'ASTHMA' AND t.object_type_id = 3))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases'))) ORDER BY g.nm_sort, g.id LIMIT 50;[ Date: 2024-05-27 05:47:24 - Bind query: yes ]
18 3s567ms SELECT /* AdvancedIxnQueryDAO.getData */ g.nm geneSymbol, g.id geneId, g.acc_txt geneAcc, g.acc_db_cd geneAccDbCd, c.nm chemNm, c.nm_html chemNmhtml, c.acc_txt chemAcc, c.secondary_nm casRN, c.id chemId, i.id ixnId, i.ixn_prose_txt ixnProse, i.ixn_prose_html ixnProseHtml, i.actions_txt ixnActions, COUNT(DISTINCT gcr.reference_id) refCount, COUNT(DISTINCT gcr.taxon_id) taxonCount, COUNT(*) OVER () fullRowCount FROM gene_chem_reference gcr INNER JOIN ixn i ON gcr.ixn_id = i.id INNER JOIN term g ON gcr.gene_id = g.id INNER JOIN term c ON gcr.chem_id = c.id WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterPathwayWhereEquals.Name */ tp.term_id FROM term_pathway tp WHERE UPPER(tp.pathway_nm) LIKE 'METABOLISM' AND tp.object_type_id = 4))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases')) GROUP BY g.nm, g.nm_sort, g.acc_txt, g.acc_db_cd, g.id, c.nm, c.nm_html, c.nm_sort, c.acc_txt, c.secondary_nm, c.id, i.ixn_prose_txt, i.ixn_prose_html, i.sort_txt, i.actions_txt, i.id ORDER BY g.nm_sort, c.nm_sort, i.sort_txt LIMIT 50;[ Date: 2024-05-27 05:47:32 - Bind query: yes ]
19 3s444ms WITH recursive sub_node ( object_id, id, path, lvl ) AS ( SELECT n.object_id, n.id, ARRAY[n.nm_sort], 1 FROM dag_node n WHERE n.object_id = '588473' UNION ALL SELECT n.object_id, n.id, CAST(path || n.nm_sort AS varchar(600)[]), sn.lvl + 1 FROM dag_node n INNER JOIN sub_node sn ON (n.parent_id = sn.id)) SELECT /* TreeTermBasicsDAO.getDescendants */ DISTINCT t.nm priNm, t.nm_html priNmHtml, t.secondary_nm secondaryNm, t.acc_db_cd accDbCd, t.acc_txt termAcc, t.is_leaf isLeaf, t.has_chems hasChems, t.has_diseases hasDiseases, t.has_exposures hasExposures, t.has_genes hasGenes, sn.lvl, sn.path, MAX(sn.lvl) OVER () maxLvl, t.has_phenotypes hasPhenotypes FROM sub_node sn INNER JOIN term t ON sn.object_id = t.id WHERE sn.lvl <= 2 ORDER BY sn.path;[ Date: 2024-05-27 05:45:12 - Database: ctddev51 - User: pubeu - Bind query: yes ]
20 3s389ms select t.ID, t.OBJECT_TYPE_ID, t.ACC_TXT, t.ACC_DB_CD, t.NM, t.NM_SORT, t.SECONDARY_NM, t.DESCRIPTION, t.NOTE, l.NM from pub1.TERM t, pub1.TERM_LABEL l where t.OBJECT_TYPE_ID = 1 and t.id = l.TERM_ID;[ Date: 2024-05-27 13:52:47 - Database: ctddev51 - User: editeu - Bind query: yes ]
Time consuming queries (N)
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 6m52s 15 1s673ms 1m13s 27s497ms select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where exists ( 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 diseaseterm.id = dp.descendant_object_id) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration May 27 13 7 2m37s 22s459ms 14 7 3m1s 25s978ms 15 1 1m13s 1m13s [ User: pubeu - Total duration: 3m58s - Times executed: 6 ]
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 15:21:48 Duration: 1m13s Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 13:12:50 Duration: 1m13s Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:11:24 Duration: 1m12s Bind query: yes
2 1m57s 4 29s110ms 29s547ms 29s345ms select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where viageneptr.via_term_id in ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration May 27 13 4 1m57s 29s345ms [ User: pubeu - Total duration: 1m57s - Times executed: 4 ]
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:57:34 Duration: 29s547ms Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:25:06 Duration: 29s431ms Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 13:25:58 Duration: 29s292ms Database: ctddev51 User: pubeu Bind query: yes
3 10s631ms 4 2s612ms 2s731ms 2s657ms select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where diseaseterm.id = any (array ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?)) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration May 27 13 4 10s631ms 2s657ms [ User: pubeu - Total duration: 5s256ms - Times executed: 2 ]
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where diseaseTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 3 and upper(baseTerm.nm) LIKE 'ARTHRITIS, RHEUMATOID')) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:01:46 Duration: 2s731ms Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where diseaseTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 3 and upper(baseTerm.nm) LIKE 'ARTHRITIS, RHEUMATOID')) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 13:12:37 Duration: 2s644ms Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where diseaseTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 3 and upper(baseTerm.nm) LIKE 'ARTHRITIS, RHEUMATOID')) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:12:29 Duration: 2s644ms Database: ctddev51 User: pubeu Bind query: yes
4 8s785ms 3 1s28ms 4s367ms 2s928ms select t.id, t.object_type_id, t.acc_txt, t.acc_db_cd, t.nm, t.nm_sort, t.secondary_nm, t.description, t.note, l.nm from pub1.term t, pub1.term_label l where t.object_type_id = ? and t.id = l.term_id;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration May 27 13 3 8s785ms 2s928ms [ User: editeu - Total duration: 8s785ms - Times executed: 3 ]
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select t.ID, t.OBJECT_TYPE_ID, t.ACC_TXT, t.ACC_DB_CD, t.NM, t.NM_SORT, t.SECONDARY_NM, t.DESCRIPTION, t.NOTE, l.NM from pub1.TERM t, pub1.TERM_LABEL l where t.OBJECT_TYPE_ID = 4 and t.id = l.TERM_ID;
Date: 2024-05-27 13:52:48 Duration: 4s367ms Database: ctddev51 User: editeu Bind query: yes
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select t.ID, t.OBJECT_TYPE_ID, t.ACC_TXT, t.ACC_DB_CD, t.NM, t.NM_SORT, t.SECONDARY_NM, t.DESCRIPTION, t.NOTE, l.NM from pub1.TERM t, pub1.TERM_LABEL l where t.OBJECT_TYPE_ID = 1 and t.id = l.TERM_ID;
Date: 2024-05-27 13:52:47 Duration: 3s389ms Database: ctddev51 User: editeu Bind query: yes
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select t.ID, t.OBJECT_TYPE_ID, t.ACC_TXT, t.ACC_DB_CD, t.NM, t.NM_SORT, t.SECONDARY_NM, t.DESCRIPTION, t.NOTE, l.NM from pub1.TERM t, pub1.TERM_LABEL l where t.OBJECT_TYPE_ID = 2 and t.id = l.TERM_ID;
Date: 2024-05-27 13:52:45 Duration: 1s28ms Database: ctddev51 User: editeu Bind query: yes
5 4s263ms 1 4s263ms 4s263ms 4s263ms 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 ptr.term_object_type_id = ? and ptr.phenotype_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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) and taxonterm.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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) 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 limit ?;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration May 27 05 1 4s263ms 4s263ms -
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 'ZINC')) and ptr.term_object_type_id = 2 and ptr.phenotype_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 = 5 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = 'GO:0006915' AND l.type_cd = 'A' AND l.object_type_id = 5))) and taxonTerm.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 = 1 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = '9606' AND l.type_cd = 'A' AND l.object_type_id = 1))) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort LIMIT 50;
Date: 2024-05-27 05:48:48 Duration: 4s263ms Bind query: yes
6 4s238ms 1 4s238ms 4s238ms 4s238ms 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 ptr.term_object_type_id = ? and ptr.phenotype_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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) and i.id in ( select ixn_id from ixn_anatomy where anatomy_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 taxonterm.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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) 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 limit ?;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration May 27 05 1 4s238ms 4s238ms -
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 'ACETYLCYSTEINE')) and ptr.term_object_type_id = 2 and ptr.phenotype_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 = 5 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = 'GO:0006979' AND l.type_cd = 'A' AND l.object_type_id = 5))) and i.id in ( select ixn_id from ixn_anatomy where anatomy_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 = 10 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR SYSTEM'))) and taxonTerm.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 = 1 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = '9605' AND l.type_cd = 'A' AND l.object_type_id = 1))) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort LIMIT 50;
Date: 2024-05-27 05:48:52 Duration: 4s238ms Bind query: yes
7 3s959ms 2 1s866ms 2s93ms 1s979ms select * from tm_reference;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration May 27 10 2 3s959ms 1s979ms [ User: edit - Total duration: 2s93ms - Times executed: 1 ]
[ Application: pgAdmin 4 - CONN:9604595 - Total duration: 2s93ms - Times executed: 1 ]
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select * from tm_reference;
Date: 2024-05-27 10:24:45 Duration: 2s93ms Database: ctddev51 User: edit Application: pgAdmin 4 - CONN:9604595
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select * from tm_reference;
Date: 2024-05-27 10:24:52 Duration: 1s866ms
8 3s937ms 1 3s937ms 3s937ms 3s937ms select ? "Input", sqi.chem_nm "ChemicalName", sqi.chem_acc_txt "ChemicalID", sqi.casrn "CasRN", sqi.gene_symbol "GeneSymbol", sqi.gene_acc_txt "GeneID", sqi.ontology_nm "Ontology", sqi.go_term_nm "GoTermName", sqi.go_acc_txt "GoTermID" from ( with sq as ( select distinct c.id chem_id, c.nm chem_nm, c.acc_txt chem_acc_txt, c.secondary_nm casrn, c.nm_sort chem_nm_sort, gcr.gene_id, g.nm gene_symbol, g.acc_txt gene_acc_txt, g.nm_sort gene_symbol_sort from term c inner join gene_chem_reference gcr on c.id = gcr.chem_id inner join term g on gcr.gene_id = g.id where (c.id = ?)) select distinct sq.chem_nm, sq.chem_acc_txt, sq.casrn, sq.gene_symbol, sq.gene_acc_txt, gt.nm go_term_nm, gt.acc_txt go_acc_txt, sq.chem_nm_sort, sq.gene_symbol_sort, gt.nm_sort, d.nm ontology_nm from sq inner join gene_go_annot gga on sq.gene_id = gga.gene_id inner join dag_node gt on gga.go_term_id = gt.object_id inner join dag d on gt.dag_id = d.id where gga.is_not = false and (d.id = ? or d.id = ?) order by sq.chem_nm_sort, sq.gene_symbol_sort, d.nm, gt.nm_sort) sqi;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration May 27 05 1 3s937ms 3s937ms [ User: pubeu - Total duration: 3s937ms - Times executed: 1 ]
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SELECT /* BatchChemGODAO */ 'ddt' "Input", sqi.chem_nm "ChemicalName", sqi.chem_acc_txt "ChemicalID", sqi.casRN "CasRN", sqi.gene_symbol "GeneSymbol", sqi.gene_acc_txt "GeneID", sqi.ontology_nm "Ontology", sqi.go_term_nm "GoTermName", sqi.go_acc_txt "GoTermID" FROM ( WITH sq AS ( SELECT DISTINCT c.id chem_id, c.nm chem_nm, c.acc_txt chem_acc_txt, c.secondary_nm casRN, c.nm_sort chem_nm_sort, gcr.gene_id, g.nm gene_symbol, g.acc_txt gene_acc_txt, g.nm_sort gene_symbol_sort FROM term c INNER JOIN gene_chem_reference gcr ON c.id = gcr.chem_id INNER JOIN term g ON gcr.gene_id = g.id WHERE (c.id = 1285538)) SELECT DISTINCT sq.chem_nm, sq.chem_acc_txt, sq.casRN, sq.gene_symbol, sq.gene_acc_txt, gt.nm go_term_nm, gt.acc_txt go_acc_txt, sq.chem_nm_sort, sq.gene_symbol_sort, gt.nm_sort, d.nm ontology_nm FROM sq INNER JOIN gene_go_annot gga ON sq.gene_id = gga.gene_id INNER JOIN dag_node gt ON gga.go_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE gga.is_not = false AND (d.id = 5 OR d.id = 4) ORDER BY sq.chem_nm_sort, sq.gene_symbol_sort, d.nm, gt.nm_sort) sqi;
Date: 2024-05-27 05:48:26 Duration: 3s937ms Database: ctddev51 User: pubeu Bind query: yes
9 3s906ms 1 3s906ms 3s906ms 3s906ms select gcr.ixn_id, null, null, null from gene_chem_reference gcr where gcr.gene_id = any (array (( select gd.gene_id from term t inner join dag_path dp on t.id = dp.ancestor_object_id inner join gene_disease gd on dp.descendant_object_id = gd.disease_id where upper(t.nm) like ? and t.object_type_id = ?))) and gcr.id in ( select gcra.gene_chem_reference_id from gene_chem_reference_axn gcra where (gcra.action_degree_type_nm = ?));Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration May 27 05 1 3s906ms 3s906ms [ User: pubeu - Total duration: 3s906ms - Times executed: 1 ]
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SELECT /* CIQH.getIxnCacheQuery */ gcr.ixn_id, NULL, NULL, NULL FROM gene_chem_reference gcr WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterDiseaseWhereEquals.Name.Gene */ gd.gene_id FROM term t INNER JOIN dag_path dp ON t.id = dp.ancestor_object_id INNER JOIN gene_disease gd ON dp.descendant_object_id = gd.disease_id WHERE UPPER(t.nm) LIKE 'ASTHMA' AND t.object_type_id = 3))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases'));
Date: 2024-05-27 05:47:19 Duration: 3s906ms Database: ctddev51 User: pubeu Bind query: yes
10 3s749ms 1 3s749ms 3s749ms 3s749ms select g.id geneid, g.acc_txt acc, g.nm nm, g.nm nmhtml, g.secondary_nm secondarynm, g.has_chems haschems, g.has_diseases hasdiseases, g.has_exposures hasexposures, g.has_phenotypes hasphenotypes, count(*) over () fullrowcount from term g where g.id in ( select gcr.gene_id from gene_chem_reference gcr where gcr.gene_id = any (array (( select gd.gene_id from term t inner join dag_path dp on t.id = dp.ancestor_object_id inner join gene_disease gd on dp.descendant_object_id = gd.disease_id where upper(t.nm) like ? and t.object_type_id = ?))) and gcr.id in ( select gcra.gene_chem_reference_id from gene_chem_reference_axn gcra where (gcra.action_degree_type_nm = ?))) order by g.nm_sort, g.id limit ?;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration May 27 05 1 3s749ms 3s749ms -
SELECT /* AdvancedGeneQueryDAO.getData */ g.id geneId, g.acc_txt acc, g.nm nm, g.nm nmHtml, g.secondary_nm secondaryNm, g.has_chems hasChems, g.has_diseases hasDiseases, g.has_exposures hasExposures, g.has_phenotypes hasPhenotypes, COUNT(*) OVER () fullRowCount FROM term g WHERE g.id IN ( SELECT gcr.gene_id FROM gene_chem_reference gcr WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterDiseaseWhereEquals.Name.Gene */ gd.gene_id FROM term t INNER JOIN dag_path dp ON t.id = dp.ancestor_object_id INNER JOIN gene_disease gd ON dp.descendant_object_id = gd.disease_id WHERE UPPER(t.nm) LIKE 'ASTHMA' AND t.object_type_id = 3))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases'))) ORDER BY g.nm_sort, g.id LIMIT 50;
Date: 2024-05-27 05:47:24 Duration: 3s749ms Bind query: yes
11 3s567ms 1 3s567ms 3s567ms 3s567ms select g.nm genesymbol, g.id geneid, g.acc_txt geneacc, g.acc_db_cd geneaccdbcd, c.nm chemnm, c.nm_html chemnmhtml, c.acc_txt chemacc, c.secondary_nm casrn, c.id chemid, i.id ixnid, i.ixn_prose_txt ixnprose, i.ixn_prose_html ixnprosehtml, i.actions_txt ixnactions, count(distinct gcr.reference_id) refcount, count(distinct gcr.taxon_id) taxoncount, count(*) over () fullrowcount from gene_chem_reference gcr inner join ixn i on gcr.ixn_id = i.id inner join term g on gcr.gene_id = g.id inner join term c on gcr.chem_id = c.id where gcr.gene_id = any (array (( select tp.term_id from term_pathway tp where upper(tp.pathway_nm) like ? and tp.object_type_id = ?))) and gcr.id in ( select gcra.gene_chem_reference_id from gene_chem_reference_axn gcra where (gcra.action_degree_type_nm = ?)) group by g.nm, g.nm_sort, g.acc_txt, g.acc_db_cd, g.id, c.nm, c.nm_html, c.nm_sort, c.acc_txt, c.secondary_nm, c.id, i.ixn_prose_txt, i.ixn_prose_html, i.sort_txt, i.actions_txt, i.id order by g.nm_sort, c.nm_sort, i.sort_txt limit ?;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration May 27 05 1 3s567ms 3s567ms -
SELECT /* AdvancedIxnQueryDAO.getData */ g.nm geneSymbol, g.id geneId, g.acc_txt geneAcc, g.acc_db_cd geneAccDbCd, c.nm chemNm, c.nm_html chemNmhtml, c.acc_txt chemAcc, c.secondary_nm casRN, c.id chemId, i.id ixnId, i.ixn_prose_txt ixnProse, i.ixn_prose_html ixnProseHtml, i.actions_txt ixnActions, COUNT(DISTINCT gcr.reference_id) refCount, COUNT(DISTINCT gcr.taxon_id) taxonCount, COUNT(*) OVER () fullRowCount FROM gene_chem_reference gcr INNER JOIN ixn i ON gcr.ixn_id = i.id INNER JOIN term g ON gcr.gene_id = g.id INNER JOIN term c ON gcr.chem_id = c.id WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterPathwayWhereEquals.Name */ tp.term_id FROM term_pathway tp WHERE UPPER(tp.pathway_nm) LIKE 'METABOLISM' AND tp.object_type_id = 4))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases')) GROUP BY g.nm, g.nm_sort, g.acc_txt, g.acc_db_cd, g.id, c.nm, c.nm_html, c.nm_sort, c.acc_txt, c.secondary_nm, c.id, i.ixn_prose_txt, i.ixn_prose_html, i.sort_txt, i.actions_txt, i.id ORDER BY g.nm_sort, c.nm_sort, i.sort_txt LIMIT 50;
Date: 2024-05-27 05:47:32 Duration: 3s567ms Bind query: yes
12 3s444ms 1 3s444ms 3s444ms 3s444ms with recursive sub_node ( object_id, id, path, lvl ) as ( select n.object_id, n.id, array[n.nm_sort], ? from dag_node n where n.object_id = ? union all select n.object_id, n.id, cast(path || n.nm_sort as varchar(?)[]), sn.lvl + ? from dag_node n inner join sub_node sn on (n.parent_id = sn.id)) select distinct t.nm prinm, t.nm_html prinmhtml, t.secondary_nm secondarynm, t.acc_db_cd accdbcd, t.acc_txt termacc, t.is_leaf isleaf, t.has_chems haschems, t.has_diseases hasdiseases, t.has_exposures hasexposures, t.has_genes hasgenes, sn.lvl, sn.path, max(sn.lvl) over () maxlvl, t.has_phenotypes hasphenotypes from sub_node sn inner join term t on sn.object_id = t.id where sn.lvl <= ? order by sn.path;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration May 27 05 1 3s444ms 3s444ms [ User: pubeu - Total duration: 3s444ms - Times executed: 1 ]
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WITH recursive sub_node ( object_id, id, path, lvl ) AS ( SELECT n.object_id, n.id, ARRAY[n.nm_sort], 1 FROM dag_node n WHERE n.object_id = '588473' UNION ALL SELECT n.object_id, n.id, CAST(path || n.nm_sort AS varchar(600)[]), sn.lvl + 1 FROM dag_node n INNER JOIN sub_node sn ON (n.parent_id = sn.id)) SELECT /* TreeTermBasicsDAO.getDescendants */ DISTINCT t.nm priNm, t.nm_html priNmHtml, t.secondary_nm secondaryNm, t.acc_db_cd accDbCd, t.acc_txt termAcc, t.is_leaf isLeaf, t.has_chems hasChems, t.has_diseases hasDiseases, t.has_exposures hasExposures, t.has_genes hasGenes, sn.lvl, sn.path, MAX(sn.lvl) OVER () maxLvl, t.has_phenotypes hasPhenotypes FROM sub_node sn INNER JOIN term t ON sn.object_id = t.id WHERE sn.lvl <= 2 ORDER BY sn.path;
Date: 2024-05-27 05:45:12 Duration: 3s444ms Database: ctddev51 User: pubeu Bind query: yes
13 3s438ms 3 1s139ms 1s155ms 1s146ms select d.abbr dagabbr, d.nm dagnm, gt.level_min_no daglevelmin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pvalcorrected, te.raw_p_val pvalraw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, count(*) over () fullrowcount from term_enrichment te inner join dag_node gt on te.enriched_term_id = gt.object_id inner join dag d on gt.dag_id = d.id where te.term_id = ? and te.enriched_object_type_id = ? order by te.corrected_p_val, d.abbr, gt.nm_sort limit ?;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration May 27 05 3 3s438ms 1s146ms [ User: pubeu - Total duration: 1s155ms - Times executed: 1 ]
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SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY te.corrected_p_val, d.abbr, gt.nm_sort LIMIT 50;
Date: 2024-05-27 05:47:51 Duration: 1s155ms Database: ctddev51 User: pubeu Bind query: yes
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SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY te.corrected_p_val, d.abbr, gt.nm_sort LIMIT 50;
Date: 2024-05-27 05:47:56 Duration: 1s142ms Bind query: yes
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SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY te.corrected_p_val, d.abbr, gt.nm_sort LIMIT 50;
Date: 2024-05-27 05:47:52 Duration: 1s139ms Bind query: yes
14 2s827ms 2 1s332ms 1s495ms 1s413ms select fg.nm fromgenesymbol, fg.acc_txt fromgeneacc, tg.nm togenesymbol, tg.acc_txt togeneacc, ft.nm fromtaxonnm, ft.secondary_nm fromtaxoncommonnm, ft.acc_txt fromtaxonacc, tt.nm totaxonnm, tt.secondary_nm totaxoncommonnm, tt.acc_txt totaxonacc, ggr.experimental_sys_nm, ggr.experimental_sys_type, ( select string_agg(ggt.throughput_txt, ? order by ggt.throughput_txt) from gene_gene_ref_throughput ggt where ggt.gene_gene_reference_id = ggr.id) throughput, count(*) over () fullrowcount from gene_gene_reference ggr inner join term fg on ggr.from_gene_id = fg.id inner join term tg on ggr.to_gene_id = tg.id inner join term ft on ggr.from_taxon_id = ft.id inner join term tt on ggr.to_taxon_id = tt.id where ggr.reference_id = ? order by fg.nm_sort, tg.nm_sort limit ?;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration May 27 05 2 2s827ms 1s413ms -
SELECT /* ReferenceGeneGeneIxnsDAO */ fg.nm fromGeneSymbol, fg.acc_txt fromGeneAcc, tg.nm toGeneSymbol, tg.acc_txt toGeneAcc, ft.nm fromTaxonNm, ft.secondary_nm fromTaxonCommonNm, ft.acc_txt fromTaxonAcc, tt.nm toTaxonNm, tt.secondary_nm toTaxonCommonNm, tt.acc_txt toTaxonAcc, ggr.experimental_sys_nm, ggr.experimental_sys_type, ( SELECT STRING_AGG(ggt.throughput_txt, ', ' ORDER BY ggt.throughput_txt) FROM gene_gene_ref_throughput ggt WHERE ggt.gene_gene_reference_id = ggr.id) throughput, COUNT(*) OVER () fullRowCount FROM gene_gene_reference ggr INNER JOIN term fg ON ggr.from_gene_id = fg.id INNER JOIN term tg ON ggr.to_gene_id = tg.id INNER JOIN term ft ON ggr.from_taxon_id = ft.id INNER JOIN term tt ON ggr.to_taxon_id = tt.id WHERE ggr.reference_id = '111363' ORDER BY fg.nm_sort, tg.nm_sort LIMIT 50;
Date: 2024-05-27 05:48:07 Duration: 1s495ms Bind query: yes
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SELECT /* ReferenceGeneGeneIxnsDAO */ fg.nm fromGeneSymbol, fg.acc_txt fromGeneAcc, tg.nm toGeneSymbol, tg.acc_txt toGeneAcc, ft.nm fromTaxonNm, ft.secondary_nm fromTaxonCommonNm, ft.acc_txt fromTaxonAcc, tt.nm toTaxonNm, tt.secondary_nm toTaxonCommonNm, tt.acc_txt toTaxonAcc, ggr.experimental_sys_nm, ggr.experimental_sys_type, ( SELECT STRING_AGG(ggt.throughput_txt, ', ' ORDER BY ggt.throughput_txt) FROM gene_gene_ref_throughput ggt WHERE ggt.gene_gene_reference_id = ggr.id) throughput, COUNT(*) OVER () fullRowCount FROM gene_gene_reference ggr INNER JOIN term fg ON ggr.from_gene_id = fg.id INNER JOIN term tg ON ggr.to_gene_id = tg.id INNER JOIN term ft ON ggr.from_taxon_id = ft.id INNER JOIN term tt ON ggr.to_taxon_id = tt.id WHERE ggr.reference_id = '111363' ORDER BY fg.nm_sort, tg.nm_sort LIMIT 50;
Date: 2024-05-27 05:48:06 Duration: 1s332ms Bind query: yes
15 2s711ms 1 2s711ms 2s711ms 2s711ms select distinct stressorterm.nm as chemnm, stressorterm.nm_html as chemnmhtml, stressorterm.nm_sort as chemnmsort, stressorterm.acc_txt as chemacc, ( select string_agg(distinct stressorsrctype.nm || ? || stressorsrctype.cd, ?)) as stressorsrctypenm, stressor.src_details as stressorsrcdetails, stressor.sample_qty as stressorsampleqty, stressor.note as stressornote, receptor.qty as nbrreceptors, receptor.description as receptors, receptor.note as receptornotes, receptorterm.nm || ? || ( select cd from object_type where id = receptor.object_type_id) || ? || receptorterm.nm_html || ? || receptorterm.acc_txt || ? || receptorterm.acc_db_cd as receptorterms, ( select string_agg(distinct receptortobaccouse.tobacco_use_nm || ? || receptortobaccouse.pct, ?)) as smokerstatus, receptor.age as agerange, receptor.age_uom_nm as ageuomnm, receptor.age_qualifier_nm as agequalifiernm, receptor.gender_nm as gendernmsearch, receptor.id receptorid, ( select string_agg(pct || ? || gender_nm || ? || gender_nm_html, ?) from exp_receptor_gender where exp_receptor_id = receptor.id) as genderdetails, ( select string_agg(distinct receptorrace.race_nm || ? || receptorrace.pct, ?)) as receptorrace, ( select string_agg(distinct eventassaymethod.nm, ?)) as assaymethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumacctxt, ( select string_agg(distinct eventproject.project_nm, ?)) as associatedstudytitles, event.collection_start_yr || ? || event.collection_end_yr as collectionstartandendyr, event.detection_limit as detectionlimit, event.detection_limit_uom as detectionlimituom, event.detection_freq as detectionfreq, event.note as eventnote, ( select string_agg(distinct eventlocation.geographic_region_nm, ?)) as stateorprovince, ( select string_agg(distinct eventlocation.locality_txt, ?)) as localitytxt, ( select string_agg(distinct country.nm, ?)) as studycountries, exposuremarkerterm.nm || ? || ( select cd from object_type where id = exposuremarkerterm.object_type_id) || ? || exposuremarkerterm.nm_html || ? || exposuremarkerterm.acc_txt || ? || exposuremarkerterm.acc_db_cd as assayedmarkers, event.exp_marker_lvl as assaylevel, assay_uom as measurement, assay_measurement_stat as measurementstat, assay_note as assaynote, eiot.description as outcomerltnp, diseaseterm.nm || ? || ? || ? || diseaseterm.nm_html || ? || diseaseterm.acc_txt || ? || diseaseterm.acc_db_cd as diseasefield, phenotypeterm.nm || ? || ? || ? || phenotypeterm.nm_html || ? || phenotypeterm.acc_txt || ? || phenotypeterm.acc_db_cd as phenotypefield, outcome.phenotype_action_degree_type_nm as phenotypeactiondegreetypenm, e.reference_acc_txt || ? || r.abbr_authors_txt || ? || r.pub_start_yr as ref, r.abbr_authors_txt as abbrauthorstxt, ( select string_agg(distinct expstudyfactor.study_factor_nm, ?)) as studyfactornms, ( select string_agg(distinct anatomyterm.nm_html || ? || anatomyterm.acc_txt || ? || anatomyterm.id || ? || anatomyterm.acc_db_cd || ? || anatomyterm.nm, ?)) as anatomyterms, outcome.note as outcomenote, eventlocation.exp_event_id as eventid, count(*) over () fullrowcount from exposure e inner join exp_stressor stressor on e.exp_stressor_id = stressor.id inner join term stressorterm on stressor.chem_id = stressorterm.id left outer join exp_receptor receptor on e.exp_receptor_id = receptor.id left outer join exp_event event on e.exp_event_id = event.id left outer join term exposuremarkerterm on event.exp_marker_term_id = exposuremarkerterm.id left outer join exp_outcome outcome on e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot on outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseterm on outcome.disease_id = diseaseterm.id left outer join term phenotypeterm on outcome.phenotype_id = phenotypeterm.id left outer join term receptorterm on receptor.term_id = receptorterm.id inner join reference r on e.reference_id = r.id left outer join exp_stressor_stressor_src esss on stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorsrctype on esss.exp_stressor_src_type_id = stressorsrctype.id left outer join exp_receptor_tobacco_use receptortobaccouse on receptor.id = receptortobaccouse.exp_receptor_id left outer join exp_receptor_race receptorrace on receptor.id = receptorrace.exp_receptor_id left outer join exp_event_assay_method eventassaymethod on event.id = eventassaymethod.exp_event_id left outer join exp_event_location eventlocation on event.id = eventlocation.exp_event_id left outer join exp_anatomy expanatomy on outcome.id = expanatomy.exp_outcome_id left outer join term anatomyterm on expanatomy.anatomy_id = anatomyterm.id left outer join country on eventlocation.country_id = country.id left outer join exp_event_project eventproject on event.id = eventproject.exp_event_id left outer join reference_exp referenceexp on e.reference_acc_txt = referenceexp.reference_acc_txt and e.reference_acc_db_id = referenceexp.reference_acc_db_id left outer join exp_study_factor expstudyfactor on referenceexp.id = expstudyfactor.reference_exp_id where exposuremarkerterm.id = ? or receptorterm.id = ? group by chemnm, chemnmhtml, chemnmsort, chemacc, stressorsrcdetails, stressorsampleqty, stressornote, receptorterms, medium, mediumacctxt, assayedmarkers, assaylevel, measurement, measurementstat, assaynote, outcomerltnp, diseasefield, phenotypefield, phenotypeactiondegreetypenm, ref, r.abbr_authors_txt, collectionstartandendyr, receptorid, detectionlimit, detectionlimituom, detectionfreq, eventnote, outcomenote, eventid order by chemnmsort limit ?;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration May 27 05 1 2s711ms 2s711ms [ User: pubeu - Total duration: 2s711ms - Times executed: 1 ]
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SELECT DISTINCT stressorTerm.nm as chemNm, stressorTerm.nm_html as chemNmHtml, stressorTerm.nm_sort as chemNmSort, stressorTerm.acc_txt as chemAcc, ( SELECT STRING_AGG(distinct stressorSrcType.nm || '^' || stressorSrcType.cd, '|')) as stressorSrcTypeNm, stressor.src_details as stressorSrcDetails, stressor.sample_qty as stressorSampleQty, stressor.note as stressorNote, receptor.qty as nbrReceptors, receptor.description as receptors, receptor.note as receptorNotes, receptorTerm.nm || '^' || ( select cd from object_type where id = receptor.object_type_id) || '^' || receptorTerm.nm_html || '^' || receptorTerm.acc_txt || '^' || receptorTerm.acc_db_cd as receptorTerms, ( SELECT STRING_AGG(distinct receptorTobaccoUse.tobacco_use_nm || '^' || receptorTobaccoUse.pct, ' | ')) as smokerStatus, receptor.age as ageRange, receptor.age_uom_nm as ageUOMNm, receptor.age_qualifier_nm as ageQualifierNm, receptor.gender_nm as genderNmSearch, receptor.id receptorID, ( SELECT STRING_AGG(pct || '^' || gender_nm || '^' || gender_nm_html, '|') from exp_receptor_gender where exp_receptor_id = receptor.id) as genderDetails, ( SELECT STRING_AGG(DISTINCT receptorRace.race_nm || '^' || receptorRace.pct, ' | ')) as receptorRace, ( SELECT STRING_AGG(DISTINCT eventAssayMethod.nm, ' | ')) as assayMethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumAccTxt, ( SELECT STRING_AGG(DISTINCT eventProject.project_nm, ' | ')) as associatedStudyTitles, event.collection_start_yr || '-' || event.collection_end_yr as collectionStartAndEndYr, event.detection_limit as detectionLimit, event.detection_limit_uom as detectionLimitUOM, event.detection_freq as detectionFreq, event.note as eventNote, ( SELECT STRING_AGG(DISTINCT eventLocation.geographic_region_nm, ' | ')) as stateOrProvince, ( SELECT STRING_AGG(DISTINCT eventLocation.locality_txt, ' | ')) as localityTxt, ( SELECT STRING_AGG(distinct country.nm, ' | ')) as studyCountries, exposureMarkerTerm.nm || '^' || ( select cd from object_type where id = exposureMarkerTerm.object_type_id) || '^' || exposureMarkerTerm.nm_html || '^' || exposureMarkerTerm.acc_txt || '^' || exposureMarkerTerm.acc_db_cd as assayedMarkers, event.exp_marker_lvl as assayLevel, assay_uom as measurement, assay_measurement_stat as measurementStat, assay_note as assayNote, eiot.description as outcomeRltnp, diseaseTerm.nm || '^' || 'disease' || '^' || diseaseTerm.nm_html || '^' || diseaseTerm.acc_txt || '^' || diseaseTerm.acc_db_cd as diseaseField, phenotypeTerm.nm || '^' || 'go' || '^' || phenotypeTerm.nm_html || '^' || phenotypeTerm.acc_txt || '^' || phenotypeTerm.acc_db_cd as phenotypeField, outcome.phenotype_action_degree_type_nm as phenotypeActionDegreeTypeNm, e.reference_acc_txt || '^' || r.abbr_authors_txt || '^' || r.pub_start_yr as ref, r.abbr_authors_txt as abbrAuthorsTxt, ( SELECT STRING_AGG(DISTINCT expStudyFactor.study_factor_nm, ' | ')) as studyFactorNms, ( SELECT STRING_AGG(distinct anatomyTerm.nm_html || '^' || anatomyTerm.acc_txt || '^' || anatomyTerm.id || '^' || anatomyTerm.acc_db_cd || '^' || anatomyTerm.nm, '|')) as anatomyTerms, outcome.note as outcomeNote, eventLocation.exp_event_id as eventID, COUNT(*) OVER () fullRowCount FROM exposure e inner join exp_stressor stressor ON e.exp_stressor_id = stressor.id inner join term stressorTerm ON stressor.chem_id = stressorTerm.id left outer join exp_receptor receptor ON e.exp_receptor_id = receptor.id left outer join exp_event event ON e.exp_event_id = event.id left outer join term exposureMarkerTerm ON event.exp_marker_term_id = exposureMarkerTerm.id left outer join exp_outcome outcome ON e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot ON outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseTerm ON outcome.disease_id = diseaseTerm.id left outer join term phenotypeTerm ON outcome.phenotype_id = phenotypeTerm.id left outer join term receptorTerm ON receptor.term_id = receptorTerm.id inner join reference r ON e.reference_id = r.id left outer join exp_stressor_stressor_src esss ON stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorSrcType ON esss.exp_stressor_src_type_id = stressorSrcType.id left outer join exp_receptor_tobacco_use receptorTobaccoUse ON receptor.id = receptorTobaccoUse.exp_receptor_id left outer join exp_receptor_race receptorRace ON receptor.id = receptorRace.exp_receptor_id left outer join exp_event_assay_method eventAssayMethod ON event.id = eventAssayMethod.exp_event_id left outer join exp_event_location eventLocation ON event.id = eventLocation.exp_event_id left outer join exp_anatomy expAnatomy ON outcome.id = expAnatomy.exp_outcome_id Left outer join term anatomyTerm ON expAnatomy.anatomy_id = anatomyTerm.id left outer join country ON eventLocation.country_id = country.id left outer join exp_event_project eventProject ON event.id = eventProject.exp_event_id left outer join reference_exp referenceExp on e.reference_acc_txt = referenceExp.reference_acc_txt and e.reference_acc_db_id = referenceExp.reference_acc_db_id left outer join exp_study_factor expStudyFactor on referenceExp.id = expStudyFactor.reference_exp_id where exposureMarkerTerm.id = '1425257' or receptorTerm.id = '1425257' GROUP BY chemNm, chemNmHtml, chemNmSort, chemAcc, stressorSrcDetails, stressorSampleQty, stressorNote, receptorTerms, medium, mediumAccTxt, assayedMarkers, assayLevel, measurement, measurementStat, assayNote, outcomeRltnp, diseaseField, phenotypeField, phenotypeActionDegreeTypeNm, ref, r.abbr_authors_txt, collectionStartAndEndYr, receptorID, detectionLimit, detectionLimitUOM, detectionFreq, eventNote, outcomeNote, eventID order by chemNmSort LIMIT 50;
Date: 2024-05-27 05:48:41 Duration: 2s711ms Database: ctddev51 User: pubeu Bind query: yes
16 2s139ms 1 2s139ms 2s139ms 2s139ms select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where viachemptr.via_term_id in ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?) and viageneptr.via_term_id in ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?) and phenotypeterm.id = any (array ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration May 27 05 1 2s139ms 2s139ms -
select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaChemPTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 2 and upper(baseTerm.nm) LIKE 'ZINC') and viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'BCL2') and phenotypeTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 5 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = 'GO:0006915' AND l.type_cd = 'A' AND l.object_type_id = 5))) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 05:48:56 Duration: 2s139ms Bind query: yes
17 1s580ms 1 1s580ms 1s580ms 1s580ms select * from tm_reference order by create_tm desc;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration May 27 10 1 1s580ms 1s580ms -
select * from tm_reference order by create_tm desc;
Date: 2024-05-27 10:25:25 Duration: 1s580ms
18 1s546ms 1 1s546ms 1s546ms 1s546ms select t.nm, t.nm_html nmhtml, t.secondary_nm secondarynm, t.acc_txt acc, ? || t.nm accquerystr, t.has_chems haschems, t.has_diseases hasdiseases, t.has_exposures hasexposures, t.has_phenotypes hasphenotypes, count(*) over () fullrowcount from term t where t.object_type_id = ? and regexp_replace(upper(substring(t.nm, ?, ?)), ?, ?) = ? order by t.nm_sort limit ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration May 27 05 1 1s546ms 1s546ms -
SELECT /* GeneBrowseTermsDAO */ t.nm, t.nm_html nmHtml, t.secondary_nm secondaryNm, t.acc_txt acc, 'name:' || t.nm accQueryStr, t.has_chems hasChems, t.has_diseases hasDiseases, t.has_exposures hasExposures, t.has_phenotypes hasPhenotypes, COUNT(*) OVER () fullRowCount FROM term t WHERE t.object_type_id = '4' AND REGEXP_REPLACE(UPPER(SUBSTRING(t.nm, 1, 1)), '[^A-Z]', '#') = 'A' ORDER BY t.nm_sort LIMIT 100;
Date: 2024-05-27 05:47:09 Duration: 1s546ms Bind query: yes
19 1s470ms 1 1s470ms 1s470ms 1s470ms select distinct stressorterm.nm as chemnm, stressorterm.nm_html as chemnmhtml, stressorterm.nm_sort as chemnmsort, stressorterm.acc_txt as chemacc, ( select string_agg(distinct stressorsrctype.nm || ? || stressorsrctype.cd, ?)) as stressorsrctypenm, stressor.src_details as stressorsrcdetails, stressor.sample_qty as stressorsampleqty, stressor.note as stressornote, receptor.qty as nbrreceptors, receptor.description as receptors, receptor.note as receptornotes, receptorterm.nm || ? || ( select cd from object_type where id = receptor.object_type_id) || ? || receptorterm.nm_html || ? || receptorterm.acc_txt || ? || receptorterm.acc_db_cd as receptorterms, ( select string_agg(distinct receptortobaccouse.tobacco_use_nm || ? || receptortobaccouse.pct, ?)) as smokerstatus, receptor.age as agerange, receptor.age_uom_nm as ageuomnm, receptor.age_qualifier_nm as agequalifiernm, receptor.gender_nm as gendernmsearch, receptor.id receptorid, ( select string_agg(pct || ? || gender_nm || ? || gender_nm_html, ?) from exp_receptor_gender where exp_receptor_id = receptor.id) as genderdetails, ( select string_agg(distinct receptorrace.race_nm || ? || receptorrace.pct, ?)) as receptorrace, ( select string_agg(distinct eventassaymethod.nm, ?)) as assaymethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumacctxt, ( select string_agg(distinct eventproject.project_nm, ?)) as associatedstudytitles, event.collection_start_yr || ? || event.collection_end_yr as collectionstartandendyr, event.detection_limit as detectionlimit, event.detection_limit_uom as detectionlimituom, event.detection_freq as detectionfreq, event.note as eventnote, ( select string_agg(distinct eventlocation.geographic_region_nm, ?)) as stateorprovince, ( select string_agg(distinct eventlocation.locality_txt, ?)) as localitytxt, ( select string_agg(distinct country.nm, ?)) as studycountries, exposuremarkerterm.nm || ? || ( select cd from object_type where id = exposuremarkerterm.object_type_id) || ? || exposuremarkerterm.nm_html || ? || exposuremarkerterm.acc_txt || ? || exposuremarkerterm.acc_db_cd as assayedmarkers, event.exp_marker_lvl as assaylevel, assay_uom as measurement, assay_measurement_stat as measurementstat, assay_note as assaynote, eiot.description as outcomerltnp, diseaseterm.nm || ? || ? || ? || diseaseterm.nm_html || ? || diseaseterm.acc_txt || ? || diseaseterm.acc_db_cd as diseasefield, phenotypeterm.nm || ? || ? || ? || phenotypeterm.nm_html || ? || phenotypeterm.acc_txt || ? || phenotypeterm.acc_db_cd as phenotypefield, outcome.phenotype_action_degree_type_nm as phenotypeactiondegreetypenm, e.reference_acc_txt || ? || r.abbr_authors_txt || ? || r.pub_start_yr as ref, r.abbr_authors_txt as abbrauthorstxt, ( select string_agg(distinct expstudyfactor.study_factor_nm, ?)) as studyfactornms, ( select string_agg(distinct anatomyterm.nm_html || ? || anatomyterm.acc_txt || ? || anatomyterm.id || ? || anatomyterm.acc_db_cd || ? || anatomyterm.nm, ?)) as anatomyterms, outcome.note as outcomenote, eventlocation.exp_event_id as eventid, count(*) over () fullrowcount from exposure e inner join exp_stressor stressor on e.exp_stressor_id = stressor.id inner join term stressorterm on stressor.chem_id = stressorterm.id left outer join exp_receptor receptor on e.exp_receptor_id = receptor.id left outer join exp_event event on e.exp_event_id = event.id left outer join term exposuremarkerterm on event.exp_marker_term_id = exposuremarkerterm.id left outer join exp_outcome outcome on e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot on outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseterm on outcome.disease_id = diseaseterm.id left outer join term phenotypeterm on outcome.phenotype_id = phenotypeterm.id left outer join term receptorterm on receptor.term_id = receptorterm.id inner join reference r on e.reference_id = r.id left outer join exp_stressor_stressor_src esss on stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorsrctype on esss.exp_stressor_src_type_id = stressorsrctype.id left outer join exp_receptor_tobacco_use receptortobaccouse on receptor.id = receptortobaccouse.exp_receptor_id left outer join exp_receptor_race receptorrace on receptor.id = receptorrace.exp_receptor_id left outer join exp_event_assay_method eventassaymethod on event.id = eventassaymethod.exp_event_id left outer join exp_event_location eventlocation on event.id = eventlocation.exp_event_id left outer join exp_anatomy expanatomy on outcome.id = expanatomy.exp_outcome_id left outer join term anatomyterm on expanatomy.anatomy_id = anatomyterm.id left outer join country on eventlocation.country_id = country.id left outer join exp_event_project eventproject on event.id = eventproject.exp_event_id left outer join reference_exp referenceexp on e.reference_acc_txt = referenceexp.reference_acc_txt and e.reference_acc_db_id = referenceexp.reference_acc_db_id left outer join exp_study_factor expstudyfactor on referenceexp.id = expstudyfactor.reference_exp_id where outcome.disease_id in ( select descendant_object_id from dag_path where ancestor_object_id = ?) or receptorterm.id in ( select descendant_object_id from dag_path where ancestor_object_id = ?) group by chemnm, chemnmhtml, chemnmsort, chemacc, stressorsrcdetails, stressorsampleqty, stressornote, receptorterms, medium, mediumacctxt, assayedmarkers, assaylevel, measurement, measurementstat, assaynote, outcomerltnp, diseasefield, phenotypefield, phenotypeactiondegreetypenm, ref, r.abbr_authors_txt, collectionstartandendyr, receptorid, detectionlimit, detectionlimituom, detectionfreq, eventnote, outcomenote, eventid order by chemnmsort limit ?;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration May 27 05 1 1s470ms 1s470ms -
SELECT DISTINCT stressorTerm.nm as chemNm, stressorTerm.nm_html as chemNmHtml, stressorTerm.nm_sort as chemNmSort, stressorTerm.acc_txt as chemAcc, ( SELECT STRING_AGG(distinct stressorSrcType.nm || '^' || stressorSrcType.cd, '|')) as stressorSrcTypeNm, stressor.src_details as stressorSrcDetails, stressor.sample_qty as stressorSampleQty, stressor.note as stressorNote, receptor.qty as nbrReceptors, receptor.description as receptors, receptor.note as receptorNotes, receptorTerm.nm || '^' || ( select cd from object_type where id = receptor.object_type_id) || '^' || receptorTerm.nm_html || '^' || receptorTerm.acc_txt || '^' || receptorTerm.acc_db_cd as receptorTerms, ( SELECT STRING_AGG(distinct receptorTobaccoUse.tobacco_use_nm || '^' || receptorTobaccoUse.pct, ' | ')) as smokerStatus, receptor.age as ageRange, receptor.age_uom_nm as ageUOMNm, receptor.age_qualifier_nm as ageQualifierNm, receptor.gender_nm as genderNmSearch, receptor.id receptorID, ( SELECT STRING_AGG(pct || '^' || gender_nm || '^' || gender_nm_html, '|') from exp_receptor_gender where exp_receptor_id = receptor.id) as genderDetails, ( SELECT STRING_AGG(DISTINCT receptorRace.race_nm || '^' || receptorRace.pct, ' | ')) as receptorRace, ( SELECT STRING_AGG(DISTINCT eventAssayMethod.nm, ' | ')) as assayMethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumAccTxt, ( SELECT STRING_AGG(DISTINCT eventProject.project_nm, ' | ')) as associatedStudyTitles, event.collection_start_yr || '-' || event.collection_end_yr as collectionStartAndEndYr, event.detection_limit as detectionLimit, event.detection_limit_uom as detectionLimitUOM, event.detection_freq as detectionFreq, event.note as eventNote, ( SELECT STRING_AGG(DISTINCT eventLocation.geographic_region_nm, ' | ')) as stateOrProvince, ( SELECT STRING_AGG(DISTINCT eventLocation.locality_txt, ' | ')) as localityTxt, ( SELECT STRING_AGG(distinct country.nm, ' | ')) as studyCountries, exposureMarkerTerm.nm || '^' || ( select cd from object_type where id = exposureMarkerTerm.object_type_id) || '^' || exposureMarkerTerm.nm_html || '^' || exposureMarkerTerm.acc_txt || '^' || exposureMarkerTerm.acc_db_cd as assayedMarkers, event.exp_marker_lvl as assayLevel, assay_uom as measurement, assay_measurement_stat as measurementStat, assay_note as assayNote, eiot.description as outcomeRltnp, diseaseTerm.nm || '^' || 'disease' || '^' || diseaseTerm.nm_html || '^' || diseaseTerm.acc_txt || '^' || diseaseTerm.acc_db_cd as diseaseField, phenotypeTerm.nm || '^' || 'go' || '^' || phenotypeTerm.nm_html || '^' || phenotypeTerm.acc_txt || '^' || phenotypeTerm.acc_db_cd as phenotypeField, outcome.phenotype_action_degree_type_nm as phenotypeActionDegreeTypeNm, e.reference_acc_txt || '^' || r.abbr_authors_txt || '^' || r.pub_start_yr as ref, r.abbr_authors_txt as abbrAuthorsTxt, ( SELECT STRING_AGG(DISTINCT expStudyFactor.study_factor_nm, ' | ')) as studyFactorNms, ( SELECT STRING_AGG(distinct anatomyTerm.nm_html || '^' || anatomyTerm.acc_txt || '^' || anatomyTerm.id || '^' || anatomyTerm.acc_db_cd || '^' || anatomyTerm.nm, '|')) as anatomyTerms, outcome.note as outcomeNote, eventLocation.exp_event_id as eventID, COUNT(*) OVER () fullRowCount FROM exposure e inner join exp_stressor stressor ON e.exp_stressor_id = stressor.id inner join term stressorTerm ON stressor.chem_id = stressorTerm.id left outer join exp_receptor receptor ON e.exp_receptor_id = receptor.id left outer join exp_event event ON e.exp_event_id = event.id left outer join term exposureMarkerTerm ON event.exp_marker_term_id = exposureMarkerTerm.id left outer join exp_outcome outcome ON e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot ON outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseTerm ON outcome.disease_id = diseaseTerm.id left outer join term phenotypeTerm ON outcome.phenotype_id = phenotypeTerm.id left outer join term receptorTerm ON receptor.term_id = receptorTerm.id inner join reference r ON e.reference_id = r.id left outer join exp_stressor_stressor_src esss ON stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorSrcType ON esss.exp_stressor_src_type_id = stressorSrcType.id left outer join exp_receptor_tobacco_use receptorTobaccoUse ON receptor.id = receptorTobaccoUse.exp_receptor_id left outer join exp_receptor_race receptorRace ON receptor.id = receptorRace.exp_receptor_id left outer join exp_event_assay_method eventAssayMethod ON event.id = eventAssayMethod.exp_event_id left outer join exp_event_location eventLocation ON event.id = eventLocation.exp_event_id left outer join exp_anatomy expAnatomy ON outcome.id = expAnatomy.exp_outcome_id Left outer join term anatomyTerm ON expAnatomy.anatomy_id = anatomyTerm.id left outer join country ON eventLocation.country_id = country.id left outer join exp_event_project eventProject ON event.id = eventProject.exp_event_id left outer join reference_exp referenceExp on e.reference_acc_txt = referenceExp.reference_acc_txt and e.reference_acc_db_id = referenceExp.reference_acc_db_id left outer join exp_study_factor expStudyFactor on referenceExp.id = expStudyFactor.reference_exp_id where outcome.disease_id in ( select descendant_object_id from dag_path where ancestor_object_id = '2052958') or receptorTerm.id in ( select descendant_object_id from dag_path where ancestor_object_id = '2052958') GROUP BY chemNm, chemNmHtml, chemNmSort, chemAcc, stressorSrcDetails, stressorSampleQty, stressorNote, receptorTerms, medium, mediumAccTxt, assayedMarkers, assayLevel, measurement, measurementStat, assayNote, outcomeRltnp, diseaseField, phenotypeField, phenotypeActionDegreeTypeNm, ref, r.abbr_authors_txt, collectionStartAndEndYr, receptorID, detectionLimit, detectionLimitUOM, detectionFreq, eventNote, outcomeNote, eventID order by chemNmSort LIMIT 50;
Date: 2024-05-27 05:48:43 Duration: 1s470ms Bind query: yes
20 1s459ms 1 1s459ms 1s459ms 1s459ms select d.abbr dagabbr, d.nm dagnm, gt.level_min_no daglevelmin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pvalcorrected, te.raw_p_val pvalraw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, count(*) over () fullrowcount from term_enrichment te inner join dag_node gt on te.enriched_term_id = gt.object_id inner join dag d on gt.dag_id = d.id where te.term_id = ? and te.enriched_object_type_id = ? order by gt.nm_sort desc limit ?;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration May 27 05 1 1s459ms 1s459ms -
SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY gt.nm_sort DESC LIMIT 50;
Date: 2024-05-27 05:47:53 Duration: 1s459ms Bind query: yes
Most frequent queries (N)
Rank Times executed Total duration Min duration Max duration Avg duration Query 1 15 6m52s 1s673ms 1m13s 27s497ms select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where exists ( 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 diseaseterm.id = dp.descendant_object_id) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration May 27 13 7 2m37s 22s459ms 14 7 3m1s 25s978ms 15 1 1m13s 1m13s [ User: pubeu - Total duration: 3m58s - Times executed: 6 ]
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 15:21:48 Duration: 1m13s Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 13:12:50 Duration: 1m13s Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:11:24 Duration: 1m12s Bind query: yes
2 4 1m57s 29s110ms 29s547ms 29s345ms select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where viageneptr.via_term_id in ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration May 27 13 4 1m57s 29s345ms [ User: pubeu - Total duration: 1m57s - Times executed: 4 ]
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:57:34 Duration: 29s547ms Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:25:06 Duration: 29s431ms Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 13:25:58 Duration: 29s292ms Database: ctddev51 User: pubeu Bind query: yes
3 4 10s631ms 2s612ms 2s731ms 2s657ms select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where diseaseterm.id = any (array ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?)) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration May 27 13 4 10s631ms 2s657ms [ User: pubeu - Total duration: 5s256ms - Times executed: 2 ]
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where diseaseTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 3 and upper(baseTerm.nm) LIKE 'ARTHRITIS, RHEUMATOID')) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:01:46 Duration: 2s731ms Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where diseaseTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 3 and upper(baseTerm.nm) LIKE 'ARTHRITIS, RHEUMATOID')) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 13:12:37 Duration: 2s644ms Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where diseaseTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 3 and upper(baseTerm.nm) LIKE 'ARTHRITIS, RHEUMATOID')) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:12:29 Duration: 2s644ms Database: ctddev51 User: pubeu Bind query: yes
4 3 8s785ms 1s28ms 4s367ms 2s928ms select t.id, t.object_type_id, t.acc_txt, t.acc_db_cd, t.nm, t.nm_sort, t.secondary_nm, t.description, t.note, l.nm from pub1.term t, pub1.term_label l where t.object_type_id = ? and t.id = l.term_id;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration May 27 13 3 8s785ms 2s928ms [ User: editeu - Total duration: 8s785ms - Times executed: 3 ]
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select t.ID, t.OBJECT_TYPE_ID, t.ACC_TXT, t.ACC_DB_CD, t.NM, t.NM_SORT, t.SECONDARY_NM, t.DESCRIPTION, t.NOTE, l.NM from pub1.TERM t, pub1.TERM_LABEL l where t.OBJECT_TYPE_ID = 4 and t.id = l.TERM_ID;
Date: 2024-05-27 13:52:48 Duration: 4s367ms Database: ctddev51 User: editeu Bind query: yes
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select t.ID, t.OBJECT_TYPE_ID, t.ACC_TXT, t.ACC_DB_CD, t.NM, t.NM_SORT, t.SECONDARY_NM, t.DESCRIPTION, t.NOTE, l.NM from pub1.TERM t, pub1.TERM_LABEL l where t.OBJECT_TYPE_ID = 1 and t.id = l.TERM_ID;
Date: 2024-05-27 13:52:47 Duration: 3s389ms Database: ctddev51 User: editeu Bind query: yes
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select t.ID, t.OBJECT_TYPE_ID, t.ACC_TXT, t.ACC_DB_CD, t.NM, t.NM_SORT, t.SECONDARY_NM, t.DESCRIPTION, t.NOTE, l.NM from pub1.TERM t, pub1.TERM_LABEL l where t.OBJECT_TYPE_ID = 2 and t.id = l.TERM_ID;
Date: 2024-05-27 13:52:45 Duration: 1s28ms Database: ctddev51 User: editeu Bind query: yes
5 3 3s438ms 1s139ms 1s155ms 1s146ms select d.abbr dagabbr, d.nm dagnm, gt.level_min_no daglevelmin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pvalcorrected, te.raw_p_val pvalraw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, count(*) over () fullrowcount from term_enrichment te inner join dag_node gt on te.enriched_term_id = gt.object_id inner join dag d on gt.dag_id = d.id where te.term_id = ? and te.enriched_object_type_id = ? order by te.corrected_p_val, d.abbr, gt.nm_sort limit ?;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration May 27 05 3 3s438ms 1s146ms [ User: pubeu - Total duration: 1s155ms - Times executed: 1 ]
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SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY te.corrected_p_val, d.abbr, gt.nm_sort LIMIT 50;
Date: 2024-05-27 05:47:51 Duration: 1s155ms Database: ctddev51 User: pubeu Bind query: yes
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SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY te.corrected_p_val, d.abbr, gt.nm_sort LIMIT 50;
Date: 2024-05-27 05:47:56 Duration: 1s142ms Bind query: yes
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SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY te.corrected_p_val, d.abbr, gt.nm_sort LIMIT 50;
Date: 2024-05-27 05:47:52 Duration: 1s139ms Bind query: yes
6 2 3s959ms 1s866ms 2s93ms 1s979ms select * from tm_reference;Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration May 27 10 2 3s959ms 1s979ms [ User: edit - Total duration: 2s93ms - Times executed: 1 ]
[ Application: pgAdmin 4 - CONN:9604595 - Total duration: 2s93ms - Times executed: 1 ]
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select * from tm_reference;
Date: 2024-05-27 10:24:45 Duration: 2s93ms Database: ctddev51 User: edit Application: pgAdmin 4 - CONN:9604595
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select * from tm_reference;
Date: 2024-05-27 10:24:52 Duration: 1s866ms
7 2 2s827ms 1s332ms 1s495ms 1s413ms select fg.nm fromgenesymbol, fg.acc_txt fromgeneacc, tg.nm togenesymbol, tg.acc_txt togeneacc, ft.nm fromtaxonnm, ft.secondary_nm fromtaxoncommonnm, ft.acc_txt fromtaxonacc, tt.nm totaxonnm, tt.secondary_nm totaxoncommonnm, tt.acc_txt totaxonacc, ggr.experimental_sys_nm, ggr.experimental_sys_type, ( select string_agg(ggt.throughput_txt, ? order by ggt.throughput_txt) from gene_gene_ref_throughput ggt where ggt.gene_gene_reference_id = ggr.id) throughput, count(*) over () fullrowcount from gene_gene_reference ggr inner join term fg on ggr.from_gene_id = fg.id inner join term tg on ggr.to_gene_id = tg.id inner join term ft on ggr.from_taxon_id = ft.id inner join term tt on ggr.to_taxon_id = tt.id where ggr.reference_id = ? order by fg.nm_sort, tg.nm_sort limit ?;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration May 27 05 2 2s827ms 1s413ms -
SELECT /* ReferenceGeneGeneIxnsDAO */ fg.nm fromGeneSymbol, fg.acc_txt fromGeneAcc, tg.nm toGeneSymbol, tg.acc_txt toGeneAcc, ft.nm fromTaxonNm, ft.secondary_nm fromTaxonCommonNm, ft.acc_txt fromTaxonAcc, tt.nm toTaxonNm, tt.secondary_nm toTaxonCommonNm, tt.acc_txt toTaxonAcc, ggr.experimental_sys_nm, ggr.experimental_sys_type, ( SELECT STRING_AGG(ggt.throughput_txt, ', ' ORDER BY ggt.throughput_txt) FROM gene_gene_ref_throughput ggt WHERE ggt.gene_gene_reference_id = ggr.id) throughput, COUNT(*) OVER () fullRowCount FROM gene_gene_reference ggr INNER JOIN term fg ON ggr.from_gene_id = fg.id INNER JOIN term tg ON ggr.to_gene_id = tg.id INNER JOIN term ft ON ggr.from_taxon_id = ft.id INNER JOIN term tt ON ggr.to_taxon_id = tt.id WHERE ggr.reference_id = '111363' ORDER BY fg.nm_sort, tg.nm_sort LIMIT 50;
Date: 2024-05-27 05:48:07 Duration: 1s495ms Bind query: yes
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SELECT /* ReferenceGeneGeneIxnsDAO */ fg.nm fromGeneSymbol, fg.acc_txt fromGeneAcc, tg.nm toGeneSymbol, tg.acc_txt toGeneAcc, ft.nm fromTaxonNm, ft.secondary_nm fromTaxonCommonNm, ft.acc_txt fromTaxonAcc, tt.nm toTaxonNm, tt.secondary_nm toTaxonCommonNm, tt.acc_txt toTaxonAcc, ggr.experimental_sys_nm, ggr.experimental_sys_type, ( SELECT STRING_AGG(ggt.throughput_txt, ', ' ORDER BY ggt.throughput_txt) FROM gene_gene_ref_throughput ggt WHERE ggt.gene_gene_reference_id = ggr.id) throughput, COUNT(*) OVER () fullRowCount FROM gene_gene_reference ggr INNER JOIN term fg ON ggr.from_gene_id = fg.id INNER JOIN term tg ON ggr.to_gene_id = tg.id INNER JOIN term ft ON ggr.from_taxon_id = ft.id INNER JOIN term tt ON ggr.to_taxon_id = tt.id WHERE ggr.reference_id = '111363' ORDER BY fg.nm_sort, tg.nm_sort LIMIT 50;
Date: 2024-05-27 05:48:06 Duration: 1s332ms Bind query: yes
8 1 4s263ms 4s263ms 4s263ms 4s263ms 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 ptr.term_object_type_id = ? and ptr.phenotype_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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) and taxonterm.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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) 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 limit ?;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration May 27 05 1 4s263ms 4s263ms -
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 'ZINC')) and ptr.term_object_type_id = 2 and ptr.phenotype_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 = 5 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = 'GO:0006915' AND l.type_cd = 'A' AND l.object_type_id = 5))) and taxonTerm.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 = 1 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = '9606' AND l.type_cd = 'A' AND l.object_type_id = 1))) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort LIMIT 50;
Date: 2024-05-27 05:48:48 Duration: 4s263ms Bind query: yes
9 1 4s238ms 4s238ms 4s238ms 4s238ms 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 ptr.term_object_type_id = ? and ptr.phenotype_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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) and i.id in ( select ixn_id from ixn_anatomy where anatomy_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 taxonterm.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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) 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 limit ?;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration May 27 05 1 4s238ms 4s238ms -
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 'ACETYLCYSTEINE')) and ptr.term_object_type_id = 2 and ptr.phenotype_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 = 5 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = 'GO:0006979' AND l.type_cd = 'A' AND l.object_type_id = 5))) and i.id in ( select ixn_id from ixn_anatomy where anatomy_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 = 10 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR SYSTEM'))) and taxonTerm.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 = 1 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = '9605' AND l.type_cd = 'A' AND l.object_type_id = 1))) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort LIMIT 50;
Date: 2024-05-27 05:48:52 Duration: 4s238ms Bind query: yes
10 1 3s937ms 3s937ms 3s937ms 3s937ms select ? "Input", sqi.chem_nm "ChemicalName", sqi.chem_acc_txt "ChemicalID", sqi.casrn "CasRN", sqi.gene_symbol "GeneSymbol", sqi.gene_acc_txt "GeneID", sqi.ontology_nm "Ontology", sqi.go_term_nm "GoTermName", sqi.go_acc_txt "GoTermID" from ( with sq as ( select distinct c.id chem_id, c.nm chem_nm, c.acc_txt chem_acc_txt, c.secondary_nm casrn, c.nm_sort chem_nm_sort, gcr.gene_id, g.nm gene_symbol, g.acc_txt gene_acc_txt, g.nm_sort gene_symbol_sort from term c inner join gene_chem_reference gcr on c.id = gcr.chem_id inner join term g on gcr.gene_id = g.id where (c.id = ?)) select distinct sq.chem_nm, sq.chem_acc_txt, sq.casrn, sq.gene_symbol, sq.gene_acc_txt, gt.nm go_term_nm, gt.acc_txt go_acc_txt, sq.chem_nm_sort, sq.gene_symbol_sort, gt.nm_sort, d.nm ontology_nm from sq inner join gene_go_annot gga on sq.gene_id = gga.gene_id inner join dag_node gt on gga.go_term_id = gt.object_id inner join dag d on gt.dag_id = d.id where gga.is_not = false and (d.id = ? or d.id = ?) order by sq.chem_nm_sort, sq.gene_symbol_sort, d.nm, gt.nm_sort) sqi;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration May 27 05 1 3s937ms 3s937ms [ User: pubeu - Total duration: 3s937ms - Times executed: 1 ]
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SELECT /* BatchChemGODAO */ 'ddt' "Input", sqi.chem_nm "ChemicalName", sqi.chem_acc_txt "ChemicalID", sqi.casRN "CasRN", sqi.gene_symbol "GeneSymbol", sqi.gene_acc_txt "GeneID", sqi.ontology_nm "Ontology", sqi.go_term_nm "GoTermName", sqi.go_acc_txt "GoTermID" FROM ( WITH sq AS ( SELECT DISTINCT c.id chem_id, c.nm chem_nm, c.acc_txt chem_acc_txt, c.secondary_nm casRN, c.nm_sort chem_nm_sort, gcr.gene_id, g.nm gene_symbol, g.acc_txt gene_acc_txt, g.nm_sort gene_symbol_sort FROM term c INNER JOIN gene_chem_reference gcr ON c.id = gcr.chem_id INNER JOIN term g ON gcr.gene_id = g.id WHERE (c.id = 1285538)) SELECT DISTINCT sq.chem_nm, sq.chem_acc_txt, sq.casRN, sq.gene_symbol, sq.gene_acc_txt, gt.nm go_term_nm, gt.acc_txt go_acc_txt, sq.chem_nm_sort, sq.gene_symbol_sort, gt.nm_sort, d.nm ontology_nm FROM sq INNER JOIN gene_go_annot gga ON sq.gene_id = gga.gene_id INNER JOIN dag_node gt ON gga.go_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE gga.is_not = false AND (d.id = 5 OR d.id = 4) ORDER BY sq.chem_nm_sort, sq.gene_symbol_sort, d.nm, gt.nm_sort) sqi;
Date: 2024-05-27 05:48:26 Duration: 3s937ms Database: ctddev51 User: pubeu Bind query: yes
11 1 3s906ms 3s906ms 3s906ms 3s906ms select gcr.ixn_id, null, null, null from gene_chem_reference gcr where gcr.gene_id = any (array (( select gd.gene_id from term t inner join dag_path dp on t.id = dp.ancestor_object_id inner join gene_disease gd on dp.descendant_object_id = gd.disease_id where upper(t.nm) like ? and t.object_type_id = ?))) and gcr.id in ( select gcra.gene_chem_reference_id from gene_chem_reference_axn gcra where (gcra.action_degree_type_nm = ?));Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration May 27 05 1 3s906ms 3s906ms [ User: pubeu - Total duration: 3s906ms - Times executed: 1 ]
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SELECT /* CIQH.getIxnCacheQuery */ gcr.ixn_id, NULL, NULL, NULL FROM gene_chem_reference gcr WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterDiseaseWhereEquals.Name.Gene */ gd.gene_id FROM term t INNER JOIN dag_path dp ON t.id = dp.ancestor_object_id INNER JOIN gene_disease gd ON dp.descendant_object_id = gd.disease_id WHERE UPPER(t.nm) LIKE 'ASTHMA' AND t.object_type_id = 3))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases'));
Date: 2024-05-27 05:47:19 Duration: 3s906ms Database: ctddev51 User: pubeu Bind query: yes
12 1 3s749ms 3s749ms 3s749ms 3s749ms select g.id geneid, g.acc_txt acc, g.nm nm, g.nm nmhtml, g.secondary_nm secondarynm, g.has_chems haschems, g.has_diseases hasdiseases, g.has_exposures hasexposures, g.has_phenotypes hasphenotypes, count(*) over () fullrowcount from term g where g.id in ( select gcr.gene_id from gene_chem_reference gcr where gcr.gene_id = any (array (( select gd.gene_id from term t inner join dag_path dp on t.id = dp.ancestor_object_id inner join gene_disease gd on dp.descendant_object_id = gd.disease_id where upper(t.nm) like ? and t.object_type_id = ?))) and gcr.id in ( select gcra.gene_chem_reference_id from gene_chem_reference_axn gcra where (gcra.action_degree_type_nm = ?))) order by g.nm_sort, g.id limit ?;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration May 27 05 1 3s749ms 3s749ms -
SELECT /* AdvancedGeneQueryDAO.getData */ g.id geneId, g.acc_txt acc, g.nm nm, g.nm nmHtml, g.secondary_nm secondaryNm, g.has_chems hasChems, g.has_diseases hasDiseases, g.has_exposures hasExposures, g.has_phenotypes hasPhenotypes, COUNT(*) OVER () fullRowCount FROM term g WHERE g.id IN ( SELECT gcr.gene_id FROM gene_chem_reference gcr WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterDiseaseWhereEquals.Name.Gene */ gd.gene_id FROM term t INNER JOIN dag_path dp ON t.id = dp.ancestor_object_id INNER JOIN gene_disease gd ON dp.descendant_object_id = gd.disease_id WHERE UPPER(t.nm) LIKE 'ASTHMA' AND t.object_type_id = 3))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases'))) ORDER BY g.nm_sort, g.id LIMIT 50;
Date: 2024-05-27 05:47:24 Duration: 3s749ms Bind query: yes
13 1 3s567ms 3s567ms 3s567ms 3s567ms select g.nm genesymbol, g.id geneid, g.acc_txt geneacc, g.acc_db_cd geneaccdbcd, c.nm chemnm, c.nm_html chemnmhtml, c.acc_txt chemacc, c.secondary_nm casrn, c.id chemid, i.id ixnid, i.ixn_prose_txt ixnprose, i.ixn_prose_html ixnprosehtml, i.actions_txt ixnactions, count(distinct gcr.reference_id) refcount, count(distinct gcr.taxon_id) taxoncount, count(*) over () fullrowcount from gene_chem_reference gcr inner join ixn i on gcr.ixn_id = i.id inner join term g on gcr.gene_id = g.id inner join term c on gcr.chem_id = c.id where gcr.gene_id = any (array (( select tp.term_id from term_pathway tp where upper(tp.pathway_nm) like ? and tp.object_type_id = ?))) and gcr.id in ( select gcra.gene_chem_reference_id from gene_chem_reference_axn gcra where (gcra.action_degree_type_nm = ?)) group by g.nm, g.nm_sort, g.acc_txt, g.acc_db_cd, g.id, c.nm, c.nm_html, c.nm_sort, c.acc_txt, c.secondary_nm, c.id, i.ixn_prose_txt, i.ixn_prose_html, i.sort_txt, i.actions_txt, i.id order by g.nm_sort, c.nm_sort, i.sort_txt limit ?;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration May 27 05 1 3s567ms 3s567ms -
SELECT /* AdvancedIxnQueryDAO.getData */ g.nm geneSymbol, g.id geneId, g.acc_txt geneAcc, g.acc_db_cd geneAccDbCd, c.nm chemNm, c.nm_html chemNmhtml, c.acc_txt chemAcc, c.secondary_nm casRN, c.id chemId, i.id ixnId, i.ixn_prose_txt ixnProse, i.ixn_prose_html ixnProseHtml, i.actions_txt ixnActions, COUNT(DISTINCT gcr.reference_id) refCount, COUNT(DISTINCT gcr.taxon_id) taxonCount, COUNT(*) OVER () fullRowCount FROM gene_chem_reference gcr INNER JOIN ixn i ON gcr.ixn_id = i.id INNER JOIN term g ON gcr.gene_id = g.id INNER JOIN term c ON gcr.chem_id = c.id WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterPathwayWhereEquals.Name */ tp.term_id FROM term_pathway tp WHERE UPPER(tp.pathway_nm) LIKE 'METABOLISM' AND tp.object_type_id = 4))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases')) GROUP BY g.nm, g.nm_sort, g.acc_txt, g.acc_db_cd, g.id, c.nm, c.nm_html, c.nm_sort, c.acc_txt, c.secondary_nm, c.id, i.ixn_prose_txt, i.ixn_prose_html, i.sort_txt, i.actions_txt, i.id ORDER BY g.nm_sort, c.nm_sort, i.sort_txt LIMIT 50;
Date: 2024-05-27 05:47:32 Duration: 3s567ms Bind query: yes
14 1 3s444ms 3s444ms 3s444ms 3s444ms with recursive sub_node ( object_id, id, path, lvl ) as ( select n.object_id, n.id, array[n.nm_sort], ? from dag_node n where n.object_id = ? union all select n.object_id, n.id, cast(path || n.nm_sort as varchar(?)[]), sn.lvl + ? from dag_node n inner join sub_node sn on (n.parent_id = sn.id)) select distinct t.nm prinm, t.nm_html prinmhtml, t.secondary_nm secondarynm, t.acc_db_cd accdbcd, t.acc_txt termacc, t.is_leaf isleaf, t.has_chems haschems, t.has_diseases hasdiseases, t.has_exposures hasexposures, t.has_genes hasgenes, sn.lvl, sn.path, max(sn.lvl) over () maxlvl, t.has_phenotypes hasphenotypes from sub_node sn inner join term t on sn.object_id = t.id where sn.lvl <= ? order by sn.path;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration May 27 05 1 3s444ms 3s444ms [ User: pubeu - Total duration: 3s444ms - Times executed: 1 ]
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WITH recursive sub_node ( object_id, id, path, lvl ) AS ( SELECT n.object_id, n.id, ARRAY[n.nm_sort], 1 FROM dag_node n WHERE n.object_id = '588473' UNION ALL SELECT n.object_id, n.id, CAST(path || n.nm_sort AS varchar(600)[]), sn.lvl + 1 FROM dag_node n INNER JOIN sub_node sn ON (n.parent_id = sn.id)) SELECT /* TreeTermBasicsDAO.getDescendants */ DISTINCT t.nm priNm, t.nm_html priNmHtml, t.secondary_nm secondaryNm, t.acc_db_cd accDbCd, t.acc_txt termAcc, t.is_leaf isLeaf, t.has_chems hasChems, t.has_diseases hasDiseases, t.has_exposures hasExposures, t.has_genes hasGenes, sn.lvl, sn.path, MAX(sn.lvl) OVER () maxLvl, t.has_phenotypes hasPhenotypes FROM sub_node sn INNER JOIN term t ON sn.object_id = t.id WHERE sn.lvl <= 2 ORDER BY sn.path;
Date: 2024-05-27 05:45:12 Duration: 3s444ms Database: ctddev51 User: pubeu Bind query: yes
15 1 2s711ms 2s711ms 2s711ms 2s711ms select distinct stressorterm.nm as chemnm, stressorterm.nm_html as chemnmhtml, stressorterm.nm_sort as chemnmsort, stressorterm.acc_txt as chemacc, ( select string_agg(distinct stressorsrctype.nm || ? || stressorsrctype.cd, ?)) as stressorsrctypenm, stressor.src_details as stressorsrcdetails, stressor.sample_qty as stressorsampleqty, stressor.note as stressornote, receptor.qty as nbrreceptors, receptor.description as receptors, receptor.note as receptornotes, receptorterm.nm || ? || ( select cd from object_type where id = receptor.object_type_id) || ? || receptorterm.nm_html || ? || receptorterm.acc_txt || ? || receptorterm.acc_db_cd as receptorterms, ( select string_agg(distinct receptortobaccouse.tobacco_use_nm || ? || receptortobaccouse.pct, ?)) as smokerstatus, receptor.age as agerange, receptor.age_uom_nm as ageuomnm, receptor.age_qualifier_nm as agequalifiernm, receptor.gender_nm as gendernmsearch, receptor.id receptorid, ( select string_agg(pct || ? || gender_nm || ? || gender_nm_html, ?) from exp_receptor_gender where exp_receptor_id = receptor.id) as genderdetails, ( select string_agg(distinct receptorrace.race_nm || ? || receptorrace.pct, ?)) as receptorrace, ( select string_agg(distinct eventassaymethod.nm, ?)) as assaymethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumacctxt, ( select string_agg(distinct eventproject.project_nm, ?)) as associatedstudytitles, event.collection_start_yr || ? || event.collection_end_yr as collectionstartandendyr, event.detection_limit as detectionlimit, event.detection_limit_uom as detectionlimituom, event.detection_freq as detectionfreq, event.note as eventnote, ( select string_agg(distinct eventlocation.geographic_region_nm, ?)) as stateorprovince, ( select string_agg(distinct eventlocation.locality_txt, ?)) as localitytxt, ( select string_agg(distinct country.nm, ?)) as studycountries, exposuremarkerterm.nm || ? || ( select cd from object_type where id = exposuremarkerterm.object_type_id) || ? || exposuremarkerterm.nm_html || ? || exposuremarkerterm.acc_txt || ? || exposuremarkerterm.acc_db_cd as assayedmarkers, event.exp_marker_lvl as assaylevel, assay_uom as measurement, assay_measurement_stat as measurementstat, assay_note as assaynote, eiot.description as outcomerltnp, diseaseterm.nm || ? || ? || ? || diseaseterm.nm_html || ? || diseaseterm.acc_txt || ? || diseaseterm.acc_db_cd as diseasefield, phenotypeterm.nm || ? || ? || ? || phenotypeterm.nm_html || ? || phenotypeterm.acc_txt || ? || phenotypeterm.acc_db_cd as phenotypefield, outcome.phenotype_action_degree_type_nm as phenotypeactiondegreetypenm, e.reference_acc_txt || ? || r.abbr_authors_txt || ? || r.pub_start_yr as ref, r.abbr_authors_txt as abbrauthorstxt, ( select string_agg(distinct expstudyfactor.study_factor_nm, ?)) as studyfactornms, ( select string_agg(distinct anatomyterm.nm_html || ? || anatomyterm.acc_txt || ? || anatomyterm.id || ? || anatomyterm.acc_db_cd || ? || anatomyterm.nm, ?)) as anatomyterms, outcome.note as outcomenote, eventlocation.exp_event_id as eventid, count(*) over () fullrowcount from exposure e inner join exp_stressor stressor on e.exp_stressor_id = stressor.id inner join term stressorterm on stressor.chem_id = stressorterm.id left outer join exp_receptor receptor on e.exp_receptor_id = receptor.id left outer join exp_event event on e.exp_event_id = event.id left outer join term exposuremarkerterm on event.exp_marker_term_id = exposuremarkerterm.id left outer join exp_outcome outcome on e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot on outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseterm on outcome.disease_id = diseaseterm.id left outer join term phenotypeterm on outcome.phenotype_id = phenotypeterm.id left outer join term receptorterm on receptor.term_id = receptorterm.id inner join reference r on e.reference_id = r.id left outer join exp_stressor_stressor_src esss on stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorsrctype on esss.exp_stressor_src_type_id = stressorsrctype.id left outer join exp_receptor_tobacco_use receptortobaccouse on receptor.id = receptortobaccouse.exp_receptor_id left outer join exp_receptor_race receptorrace on receptor.id = receptorrace.exp_receptor_id left outer join exp_event_assay_method eventassaymethod on event.id = eventassaymethod.exp_event_id left outer join exp_event_location eventlocation on event.id = eventlocation.exp_event_id left outer join exp_anatomy expanatomy on outcome.id = expanatomy.exp_outcome_id left outer join term anatomyterm on expanatomy.anatomy_id = anatomyterm.id left outer join country on eventlocation.country_id = country.id left outer join exp_event_project eventproject on event.id = eventproject.exp_event_id left outer join reference_exp referenceexp on e.reference_acc_txt = referenceexp.reference_acc_txt and e.reference_acc_db_id = referenceexp.reference_acc_db_id left outer join exp_study_factor expstudyfactor on referenceexp.id = expstudyfactor.reference_exp_id where exposuremarkerterm.id = ? or receptorterm.id = ? group by chemnm, chemnmhtml, chemnmsort, chemacc, stressorsrcdetails, stressorsampleqty, stressornote, receptorterms, medium, mediumacctxt, assayedmarkers, assaylevel, measurement, measurementstat, assaynote, outcomerltnp, diseasefield, phenotypefield, phenotypeactiondegreetypenm, ref, r.abbr_authors_txt, collectionstartandendyr, receptorid, detectionlimit, detectionlimituom, detectionfreq, eventnote, outcomenote, eventid order by chemnmsort limit ?;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration May 27 05 1 2s711ms 2s711ms [ User: pubeu - Total duration: 2s711ms - Times executed: 1 ]
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SELECT DISTINCT stressorTerm.nm as chemNm, stressorTerm.nm_html as chemNmHtml, stressorTerm.nm_sort as chemNmSort, stressorTerm.acc_txt as chemAcc, ( SELECT STRING_AGG(distinct stressorSrcType.nm || '^' || stressorSrcType.cd, '|')) as stressorSrcTypeNm, stressor.src_details as stressorSrcDetails, stressor.sample_qty as stressorSampleQty, stressor.note as stressorNote, receptor.qty as nbrReceptors, receptor.description as receptors, receptor.note as receptorNotes, receptorTerm.nm || '^' || ( select cd from object_type where id = receptor.object_type_id) || '^' || receptorTerm.nm_html || '^' || receptorTerm.acc_txt || '^' || receptorTerm.acc_db_cd as receptorTerms, ( SELECT STRING_AGG(distinct receptorTobaccoUse.tobacco_use_nm || '^' || receptorTobaccoUse.pct, ' | ')) as smokerStatus, receptor.age as ageRange, receptor.age_uom_nm as ageUOMNm, receptor.age_qualifier_nm as ageQualifierNm, receptor.gender_nm as genderNmSearch, receptor.id receptorID, ( SELECT STRING_AGG(pct || '^' || gender_nm || '^' || gender_nm_html, '|') from exp_receptor_gender where exp_receptor_id = receptor.id) as genderDetails, ( SELECT STRING_AGG(DISTINCT receptorRace.race_nm || '^' || receptorRace.pct, ' | ')) as receptorRace, ( SELECT STRING_AGG(DISTINCT eventAssayMethod.nm, ' | ')) as assayMethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumAccTxt, ( SELECT STRING_AGG(DISTINCT eventProject.project_nm, ' | ')) as associatedStudyTitles, event.collection_start_yr || '-' || event.collection_end_yr as collectionStartAndEndYr, event.detection_limit as detectionLimit, event.detection_limit_uom as detectionLimitUOM, event.detection_freq as detectionFreq, event.note as eventNote, ( SELECT STRING_AGG(DISTINCT eventLocation.geographic_region_nm, ' | ')) as stateOrProvince, ( SELECT STRING_AGG(DISTINCT eventLocation.locality_txt, ' | ')) as localityTxt, ( SELECT STRING_AGG(distinct country.nm, ' | ')) as studyCountries, exposureMarkerTerm.nm || '^' || ( select cd from object_type where id = exposureMarkerTerm.object_type_id) || '^' || exposureMarkerTerm.nm_html || '^' || exposureMarkerTerm.acc_txt || '^' || exposureMarkerTerm.acc_db_cd as assayedMarkers, event.exp_marker_lvl as assayLevel, assay_uom as measurement, assay_measurement_stat as measurementStat, assay_note as assayNote, eiot.description as outcomeRltnp, diseaseTerm.nm || '^' || 'disease' || '^' || diseaseTerm.nm_html || '^' || diseaseTerm.acc_txt || '^' || diseaseTerm.acc_db_cd as diseaseField, phenotypeTerm.nm || '^' || 'go' || '^' || phenotypeTerm.nm_html || '^' || phenotypeTerm.acc_txt || '^' || phenotypeTerm.acc_db_cd as phenotypeField, outcome.phenotype_action_degree_type_nm as phenotypeActionDegreeTypeNm, e.reference_acc_txt || '^' || r.abbr_authors_txt || '^' || r.pub_start_yr as ref, r.abbr_authors_txt as abbrAuthorsTxt, ( SELECT STRING_AGG(DISTINCT expStudyFactor.study_factor_nm, ' | ')) as studyFactorNms, ( SELECT STRING_AGG(distinct anatomyTerm.nm_html || '^' || anatomyTerm.acc_txt || '^' || anatomyTerm.id || '^' || anatomyTerm.acc_db_cd || '^' || anatomyTerm.nm, '|')) as anatomyTerms, outcome.note as outcomeNote, eventLocation.exp_event_id as eventID, COUNT(*) OVER () fullRowCount FROM exposure e inner join exp_stressor stressor ON e.exp_stressor_id = stressor.id inner join term stressorTerm ON stressor.chem_id = stressorTerm.id left outer join exp_receptor receptor ON e.exp_receptor_id = receptor.id left outer join exp_event event ON e.exp_event_id = event.id left outer join term exposureMarkerTerm ON event.exp_marker_term_id = exposureMarkerTerm.id left outer join exp_outcome outcome ON e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot ON outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseTerm ON outcome.disease_id = diseaseTerm.id left outer join term phenotypeTerm ON outcome.phenotype_id = phenotypeTerm.id left outer join term receptorTerm ON receptor.term_id = receptorTerm.id inner join reference r ON e.reference_id = r.id left outer join exp_stressor_stressor_src esss ON stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorSrcType ON esss.exp_stressor_src_type_id = stressorSrcType.id left outer join exp_receptor_tobacco_use receptorTobaccoUse ON receptor.id = receptorTobaccoUse.exp_receptor_id left outer join exp_receptor_race receptorRace ON receptor.id = receptorRace.exp_receptor_id left outer join exp_event_assay_method eventAssayMethod ON event.id = eventAssayMethod.exp_event_id left outer join exp_event_location eventLocation ON event.id = eventLocation.exp_event_id left outer join exp_anatomy expAnatomy ON outcome.id = expAnatomy.exp_outcome_id Left outer join term anatomyTerm ON expAnatomy.anatomy_id = anatomyTerm.id left outer join country ON eventLocation.country_id = country.id left outer join exp_event_project eventProject ON event.id = eventProject.exp_event_id left outer join reference_exp referenceExp on e.reference_acc_txt = referenceExp.reference_acc_txt and e.reference_acc_db_id = referenceExp.reference_acc_db_id left outer join exp_study_factor expStudyFactor on referenceExp.id = expStudyFactor.reference_exp_id where exposureMarkerTerm.id = '1425257' or receptorTerm.id = '1425257' GROUP BY chemNm, chemNmHtml, chemNmSort, chemAcc, stressorSrcDetails, stressorSampleQty, stressorNote, receptorTerms, medium, mediumAccTxt, assayedMarkers, assayLevel, measurement, measurementStat, assayNote, outcomeRltnp, diseaseField, phenotypeField, phenotypeActionDegreeTypeNm, ref, r.abbr_authors_txt, collectionStartAndEndYr, receptorID, detectionLimit, detectionLimitUOM, detectionFreq, eventNote, outcomeNote, eventID order by chemNmSort LIMIT 50;
Date: 2024-05-27 05:48:41 Duration: 2s711ms Database: ctddev51 User: pubeu Bind query: yes
16 1 2s139ms 2s139ms 2s139ms 2s139ms select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where viachemptr.via_term_id in ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?) and viageneptr.via_term_id in ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?) and phenotypeterm.id = any (array ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration May 27 05 1 2s139ms 2s139ms -
select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaChemPTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 2 and upper(baseTerm.nm) LIKE 'ZINC') and viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'BCL2') and phenotypeTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 5 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = 'GO:0006915' AND l.type_cd = 'A' AND l.object_type_id = 5))) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 05:48:56 Duration: 2s139ms Bind query: yes
17 1 1s580ms 1s580ms 1s580ms 1s580ms select * from tm_reference order by create_tm desc;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration May 27 10 1 1s580ms 1s580ms -
select * from tm_reference order by create_tm desc;
Date: 2024-05-27 10:25:25 Duration: 1s580ms
18 1 1s546ms 1s546ms 1s546ms 1s546ms select t.nm, t.nm_html nmhtml, t.secondary_nm secondarynm, t.acc_txt acc, ? || t.nm accquerystr, t.has_chems haschems, t.has_diseases hasdiseases, t.has_exposures hasexposures, t.has_phenotypes hasphenotypes, count(*) over () fullrowcount from term t where t.object_type_id = ? and regexp_replace(upper(substring(t.nm, ?, ?)), ?, ?) = ? order by t.nm_sort limit ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration May 27 05 1 1s546ms 1s546ms -
SELECT /* GeneBrowseTermsDAO */ t.nm, t.nm_html nmHtml, t.secondary_nm secondaryNm, t.acc_txt acc, 'name:' || t.nm accQueryStr, t.has_chems hasChems, t.has_diseases hasDiseases, t.has_exposures hasExposures, t.has_phenotypes hasPhenotypes, COUNT(*) OVER () fullRowCount FROM term t WHERE t.object_type_id = '4' AND REGEXP_REPLACE(UPPER(SUBSTRING(t.nm, 1, 1)), '[^A-Z]', '#') = 'A' ORDER BY t.nm_sort LIMIT 100;
Date: 2024-05-27 05:47:09 Duration: 1s546ms Bind query: yes
19 1 1s470ms 1s470ms 1s470ms 1s470ms select distinct stressorterm.nm as chemnm, stressorterm.nm_html as chemnmhtml, stressorterm.nm_sort as chemnmsort, stressorterm.acc_txt as chemacc, ( select string_agg(distinct stressorsrctype.nm || ? || stressorsrctype.cd, ?)) as stressorsrctypenm, stressor.src_details as stressorsrcdetails, stressor.sample_qty as stressorsampleqty, stressor.note as stressornote, receptor.qty as nbrreceptors, receptor.description as receptors, receptor.note as receptornotes, receptorterm.nm || ? || ( select cd from object_type where id = receptor.object_type_id) || ? || receptorterm.nm_html || ? || receptorterm.acc_txt || ? || receptorterm.acc_db_cd as receptorterms, ( select string_agg(distinct receptortobaccouse.tobacco_use_nm || ? || receptortobaccouse.pct, ?)) as smokerstatus, receptor.age as agerange, receptor.age_uom_nm as ageuomnm, receptor.age_qualifier_nm as agequalifiernm, receptor.gender_nm as gendernmsearch, receptor.id receptorid, ( select string_agg(pct || ? || gender_nm || ? || gender_nm_html, ?) from exp_receptor_gender where exp_receptor_id = receptor.id) as genderdetails, ( select string_agg(distinct receptorrace.race_nm || ? || receptorrace.pct, ?)) as receptorrace, ( select string_agg(distinct eventassaymethod.nm, ?)) as assaymethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumacctxt, ( select string_agg(distinct eventproject.project_nm, ?)) as associatedstudytitles, event.collection_start_yr || ? || event.collection_end_yr as collectionstartandendyr, event.detection_limit as detectionlimit, event.detection_limit_uom as detectionlimituom, event.detection_freq as detectionfreq, event.note as eventnote, ( select string_agg(distinct eventlocation.geographic_region_nm, ?)) as stateorprovince, ( select string_agg(distinct eventlocation.locality_txt, ?)) as localitytxt, ( select string_agg(distinct country.nm, ?)) as studycountries, exposuremarkerterm.nm || ? || ( select cd from object_type where id = exposuremarkerterm.object_type_id) || ? || exposuremarkerterm.nm_html || ? || exposuremarkerterm.acc_txt || ? || exposuremarkerterm.acc_db_cd as assayedmarkers, event.exp_marker_lvl as assaylevel, assay_uom as measurement, assay_measurement_stat as measurementstat, assay_note as assaynote, eiot.description as outcomerltnp, diseaseterm.nm || ? || ? || ? || diseaseterm.nm_html || ? || diseaseterm.acc_txt || ? || diseaseterm.acc_db_cd as diseasefield, phenotypeterm.nm || ? || ? || ? || phenotypeterm.nm_html || ? || phenotypeterm.acc_txt || ? || phenotypeterm.acc_db_cd as phenotypefield, outcome.phenotype_action_degree_type_nm as phenotypeactiondegreetypenm, e.reference_acc_txt || ? || r.abbr_authors_txt || ? || r.pub_start_yr as ref, r.abbr_authors_txt as abbrauthorstxt, ( select string_agg(distinct expstudyfactor.study_factor_nm, ?)) as studyfactornms, ( select string_agg(distinct anatomyterm.nm_html || ? || anatomyterm.acc_txt || ? || anatomyterm.id || ? || anatomyterm.acc_db_cd || ? || anatomyterm.nm, ?)) as anatomyterms, outcome.note as outcomenote, eventlocation.exp_event_id as eventid, count(*) over () fullrowcount from exposure e inner join exp_stressor stressor on e.exp_stressor_id = stressor.id inner join term stressorterm on stressor.chem_id = stressorterm.id left outer join exp_receptor receptor on e.exp_receptor_id = receptor.id left outer join exp_event event on e.exp_event_id = event.id left outer join term exposuremarkerterm on event.exp_marker_term_id = exposuremarkerterm.id left outer join exp_outcome outcome on e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot on outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseterm on outcome.disease_id = diseaseterm.id left outer join term phenotypeterm on outcome.phenotype_id = phenotypeterm.id left outer join term receptorterm on receptor.term_id = receptorterm.id inner join reference r on e.reference_id = r.id left outer join exp_stressor_stressor_src esss on stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorsrctype on esss.exp_stressor_src_type_id = stressorsrctype.id left outer join exp_receptor_tobacco_use receptortobaccouse on receptor.id = receptortobaccouse.exp_receptor_id left outer join exp_receptor_race receptorrace on receptor.id = receptorrace.exp_receptor_id left outer join exp_event_assay_method eventassaymethod on event.id = eventassaymethod.exp_event_id left outer join exp_event_location eventlocation on event.id = eventlocation.exp_event_id left outer join exp_anatomy expanatomy on outcome.id = expanatomy.exp_outcome_id left outer join term anatomyterm on expanatomy.anatomy_id = anatomyterm.id left outer join country on eventlocation.country_id = country.id left outer join exp_event_project eventproject on event.id = eventproject.exp_event_id left outer join reference_exp referenceexp on e.reference_acc_txt = referenceexp.reference_acc_txt and e.reference_acc_db_id = referenceexp.reference_acc_db_id left outer join exp_study_factor expstudyfactor on referenceexp.id = expstudyfactor.reference_exp_id where outcome.disease_id in ( select descendant_object_id from dag_path where ancestor_object_id = ?) or receptorterm.id in ( select descendant_object_id from dag_path where ancestor_object_id = ?) group by chemnm, chemnmhtml, chemnmsort, chemacc, stressorsrcdetails, stressorsampleqty, stressornote, receptorterms, medium, mediumacctxt, assayedmarkers, assaylevel, measurement, measurementstat, assaynote, outcomerltnp, diseasefield, phenotypefield, phenotypeactiondegreetypenm, ref, r.abbr_authors_txt, collectionstartandendyr, receptorid, detectionlimit, detectionlimituom, detectionfreq, eventnote, outcomenote, eventid order by chemnmsort limit ?;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration May 27 05 1 1s470ms 1s470ms -
SELECT DISTINCT stressorTerm.nm as chemNm, stressorTerm.nm_html as chemNmHtml, stressorTerm.nm_sort as chemNmSort, stressorTerm.acc_txt as chemAcc, ( SELECT STRING_AGG(distinct stressorSrcType.nm || '^' || stressorSrcType.cd, '|')) as stressorSrcTypeNm, stressor.src_details as stressorSrcDetails, stressor.sample_qty as stressorSampleQty, stressor.note as stressorNote, receptor.qty as nbrReceptors, receptor.description as receptors, receptor.note as receptorNotes, receptorTerm.nm || '^' || ( select cd from object_type where id = receptor.object_type_id) || '^' || receptorTerm.nm_html || '^' || receptorTerm.acc_txt || '^' || receptorTerm.acc_db_cd as receptorTerms, ( SELECT STRING_AGG(distinct receptorTobaccoUse.tobacco_use_nm || '^' || receptorTobaccoUse.pct, ' | ')) as smokerStatus, receptor.age as ageRange, receptor.age_uom_nm as ageUOMNm, receptor.age_qualifier_nm as ageQualifierNm, receptor.gender_nm as genderNmSearch, receptor.id receptorID, ( SELECT STRING_AGG(pct || '^' || gender_nm || '^' || gender_nm_html, '|') from exp_receptor_gender where exp_receptor_id = receptor.id) as genderDetails, ( SELECT STRING_AGG(DISTINCT receptorRace.race_nm || '^' || receptorRace.pct, ' | ')) as receptorRace, ( SELECT STRING_AGG(DISTINCT eventAssayMethod.nm, ' | ')) as assayMethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumAccTxt, ( SELECT STRING_AGG(DISTINCT eventProject.project_nm, ' | ')) as associatedStudyTitles, event.collection_start_yr || '-' || event.collection_end_yr as collectionStartAndEndYr, event.detection_limit as detectionLimit, event.detection_limit_uom as detectionLimitUOM, event.detection_freq as detectionFreq, event.note as eventNote, ( SELECT STRING_AGG(DISTINCT eventLocation.geographic_region_nm, ' | ')) as stateOrProvince, ( SELECT STRING_AGG(DISTINCT eventLocation.locality_txt, ' | ')) as localityTxt, ( SELECT STRING_AGG(distinct country.nm, ' | ')) as studyCountries, exposureMarkerTerm.nm || '^' || ( select cd from object_type where id = exposureMarkerTerm.object_type_id) || '^' || exposureMarkerTerm.nm_html || '^' || exposureMarkerTerm.acc_txt || '^' || exposureMarkerTerm.acc_db_cd as assayedMarkers, event.exp_marker_lvl as assayLevel, assay_uom as measurement, assay_measurement_stat as measurementStat, assay_note as assayNote, eiot.description as outcomeRltnp, diseaseTerm.nm || '^' || 'disease' || '^' || diseaseTerm.nm_html || '^' || diseaseTerm.acc_txt || '^' || diseaseTerm.acc_db_cd as diseaseField, phenotypeTerm.nm || '^' || 'go' || '^' || phenotypeTerm.nm_html || '^' || phenotypeTerm.acc_txt || '^' || phenotypeTerm.acc_db_cd as phenotypeField, outcome.phenotype_action_degree_type_nm as phenotypeActionDegreeTypeNm, e.reference_acc_txt || '^' || r.abbr_authors_txt || '^' || r.pub_start_yr as ref, r.abbr_authors_txt as abbrAuthorsTxt, ( SELECT STRING_AGG(DISTINCT expStudyFactor.study_factor_nm, ' | ')) as studyFactorNms, ( SELECT STRING_AGG(distinct anatomyTerm.nm_html || '^' || anatomyTerm.acc_txt || '^' || anatomyTerm.id || '^' || anatomyTerm.acc_db_cd || '^' || anatomyTerm.nm, '|')) as anatomyTerms, outcome.note as outcomeNote, eventLocation.exp_event_id as eventID, COUNT(*) OVER () fullRowCount FROM exposure e inner join exp_stressor stressor ON e.exp_stressor_id = stressor.id inner join term stressorTerm ON stressor.chem_id = stressorTerm.id left outer join exp_receptor receptor ON e.exp_receptor_id = receptor.id left outer join exp_event event ON e.exp_event_id = event.id left outer join term exposureMarkerTerm ON event.exp_marker_term_id = exposureMarkerTerm.id left outer join exp_outcome outcome ON e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot ON outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseTerm ON outcome.disease_id = diseaseTerm.id left outer join term phenotypeTerm ON outcome.phenotype_id = phenotypeTerm.id left outer join term receptorTerm ON receptor.term_id = receptorTerm.id inner join reference r ON e.reference_id = r.id left outer join exp_stressor_stressor_src esss ON stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorSrcType ON esss.exp_stressor_src_type_id = stressorSrcType.id left outer join exp_receptor_tobacco_use receptorTobaccoUse ON receptor.id = receptorTobaccoUse.exp_receptor_id left outer join exp_receptor_race receptorRace ON receptor.id = receptorRace.exp_receptor_id left outer join exp_event_assay_method eventAssayMethod ON event.id = eventAssayMethod.exp_event_id left outer join exp_event_location eventLocation ON event.id = eventLocation.exp_event_id left outer join exp_anatomy expAnatomy ON outcome.id = expAnatomy.exp_outcome_id Left outer join term anatomyTerm ON expAnatomy.anatomy_id = anatomyTerm.id left outer join country ON eventLocation.country_id = country.id left outer join exp_event_project eventProject ON event.id = eventProject.exp_event_id left outer join reference_exp referenceExp on e.reference_acc_txt = referenceExp.reference_acc_txt and e.reference_acc_db_id = referenceExp.reference_acc_db_id left outer join exp_study_factor expStudyFactor on referenceExp.id = expStudyFactor.reference_exp_id where outcome.disease_id in ( select descendant_object_id from dag_path where ancestor_object_id = '2052958') or receptorTerm.id in ( select descendant_object_id from dag_path where ancestor_object_id = '2052958') GROUP BY chemNm, chemNmHtml, chemNmSort, chemAcc, stressorSrcDetails, stressorSampleQty, stressorNote, receptorTerms, medium, mediumAccTxt, assayedMarkers, assayLevel, measurement, measurementStat, assayNote, outcomeRltnp, diseaseField, phenotypeField, phenotypeActionDegreeTypeNm, ref, r.abbr_authors_txt, collectionStartAndEndYr, receptorID, detectionLimit, detectionLimitUOM, detectionFreq, eventNote, outcomeNote, eventID order by chemNmSort LIMIT 50;
Date: 2024-05-27 05:48:43 Duration: 1s470ms Bind query: yes
20 1 1s459ms 1s459ms 1s459ms 1s459ms select d.abbr dagabbr, d.nm dagnm, gt.level_min_no daglevelmin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pvalcorrected, te.raw_p_val pvalraw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, count(*) over () fullrowcount from term_enrichment te inner join dag_node gt on te.enriched_term_id = gt.object_id inner join dag d on gt.dag_id = d.id where te.term_id = ? and te.enriched_object_type_id = ? order by gt.nm_sort desc limit ?;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration May 27 05 1 1s459ms 1s459ms -
SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY gt.nm_sort DESC LIMIT 50;
Date: 2024-05-27 05:47:53 Duration: 1s459ms Bind query: yes
Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 29s110ms 29s547ms 29s345ms 4 1m57s select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where viageneptr.via_term_id in ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration May 27 13 4 1m57s 29s345ms [ User: pubeu - Total duration: 1m57s - Times executed: 4 ]
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:57:34 Duration: 29s547ms Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:25:06 Duration: 29s431ms Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'TNF') and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 13:25:58 Duration: 29s292ms Database: ctddev51 User: pubeu Bind query: yes
2 1s673ms 1m13s 27s497ms 15 6m52s select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where exists ( 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 diseaseterm.id = dp.descendant_object_id) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration May 27 13 7 2m37s 22s459ms 14 7 3m1s 25s978ms 15 1 1m13s 1m13s [ User: pubeu - Total duration: 3m58s - Times executed: 6 ]
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 15:21:48 Duration: 1m13s Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 13:12:50 Duration: 1m13s Database: ctddev51 User: pubeu Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where exists ( 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 = 3 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR DISEASES') and diseaseTerm.id = dp.descendant_object_id) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:11:24 Duration: 1m12s Bind query: yes
3 4s263ms 4s263ms 4s263ms 1 4s263ms 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 ptr.term_object_type_id = ? and ptr.phenotype_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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) and taxonterm.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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) 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 limit ?;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration May 27 05 1 4s263ms 4s263ms -
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 'ZINC')) and ptr.term_object_type_id = 2 and ptr.phenotype_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 = 5 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = 'GO:0006915' AND l.type_cd = 'A' AND l.object_type_id = 5))) and taxonTerm.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 = 1 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = '9606' AND l.type_cd = 'A' AND l.object_type_id = 1))) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort LIMIT 50;
Date: 2024-05-27 05:48:48 Duration: 4s263ms Bind query: yes
4 4s238ms 4s238ms 4s238ms 1 4s238ms 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 ptr.term_object_type_id = ? and ptr.phenotype_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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) and i.id in ( select ixn_id from ixn_anatomy where anatomy_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 taxonterm.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 baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) 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 limit ?;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration May 27 05 1 4s238ms 4s238ms -
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 'ACETYLCYSTEINE')) and ptr.term_object_type_id = 2 and ptr.phenotype_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 = 5 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = 'GO:0006979' AND l.type_cd = 'A' AND l.object_type_id = 5))) and i.id in ( select ixn_id from ixn_anatomy where anatomy_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 = 10 and upper(baseTerm.nm) LIKE 'CARDIOVASCULAR SYSTEM'))) and taxonTerm.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 = 1 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = '9605' AND l.type_cd = 'A' AND l.object_type_id = 1))) and i.id in ( select ixn_id from ixn_axn where action_type_nm = 'phenotype' and action_degree_type_nm in ('increases')) group by associatedTerm, associatedTermNmSort, phenotype, casRN, ixnId, ixnProseHtml, ixnProse, ixnSort, associatedTermId, phenotypeId, inferredCount ORDER BY associatedTermNmSort LIMIT 50;
Date: 2024-05-27 05:48:52 Duration: 4s238ms Bind query: yes
5 3s937ms 3s937ms 3s937ms 1 3s937ms select ? "Input", sqi.chem_nm "ChemicalName", sqi.chem_acc_txt "ChemicalID", sqi.casrn "CasRN", sqi.gene_symbol "GeneSymbol", sqi.gene_acc_txt "GeneID", sqi.ontology_nm "Ontology", sqi.go_term_nm "GoTermName", sqi.go_acc_txt "GoTermID" from ( with sq as ( select distinct c.id chem_id, c.nm chem_nm, c.acc_txt chem_acc_txt, c.secondary_nm casrn, c.nm_sort chem_nm_sort, gcr.gene_id, g.nm gene_symbol, g.acc_txt gene_acc_txt, g.nm_sort gene_symbol_sort from term c inner join gene_chem_reference gcr on c.id = gcr.chem_id inner join term g on gcr.gene_id = g.id where (c.id = ?)) select distinct sq.chem_nm, sq.chem_acc_txt, sq.casrn, sq.gene_symbol, sq.gene_acc_txt, gt.nm go_term_nm, gt.acc_txt go_acc_txt, sq.chem_nm_sort, sq.gene_symbol_sort, gt.nm_sort, d.nm ontology_nm from sq inner join gene_go_annot gga on sq.gene_id = gga.gene_id inner join dag_node gt on gga.go_term_id = gt.object_id inner join dag d on gt.dag_id = d.id where gga.is_not = false and (d.id = ? or d.id = ?) order by sq.chem_nm_sort, sq.gene_symbol_sort, d.nm, gt.nm_sort) sqi;Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration May 27 05 1 3s937ms 3s937ms [ User: pubeu - Total duration: 3s937ms - Times executed: 1 ]
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SELECT /* BatchChemGODAO */ 'ddt' "Input", sqi.chem_nm "ChemicalName", sqi.chem_acc_txt "ChemicalID", sqi.casRN "CasRN", sqi.gene_symbol "GeneSymbol", sqi.gene_acc_txt "GeneID", sqi.ontology_nm "Ontology", sqi.go_term_nm "GoTermName", sqi.go_acc_txt "GoTermID" FROM ( WITH sq AS ( SELECT DISTINCT c.id chem_id, c.nm chem_nm, c.acc_txt chem_acc_txt, c.secondary_nm casRN, c.nm_sort chem_nm_sort, gcr.gene_id, g.nm gene_symbol, g.acc_txt gene_acc_txt, g.nm_sort gene_symbol_sort FROM term c INNER JOIN gene_chem_reference gcr ON c.id = gcr.chem_id INNER JOIN term g ON gcr.gene_id = g.id WHERE (c.id = 1285538)) SELECT DISTINCT sq.chem_nm, sq.chem_acc_txt, sq.casRN, sq.gene_symbol, sq.gene_acc_txt, gt.nm go_term_nm, gt.acc_txt go_acc_txt, sq.chem_nm_sort, sq.gene_symbol_sort, gt.nm_sort, d.nm ontology_nm FROM sq INNER JOIN gene_go_annot gga ON sq.gene_id = gga.gene_id INNER JOIN dag_node gt ON gga.go_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE gga.is_not = false AND (d.id = 5 OR d.id = 4) ORDER BY sq.chem_nm_sort, sq.gene_symbol_sort, d.nm, gt.nm_sort) sqi;
Date: 2024-05-27 05:48:26 Duration: 3s937ms Database: ctddev51 User: pubeu Bind query: yes
6 3s906ms 3s906ms 3s906ms 1 3s906ms select gcr.ixn_id, null, null, null from gene_chem_reference gcr where gcr.gene_id = any (array (( select gd.gene_id from term t inner join dag_path dp on t.id = dp.ancestor_object_id inner join gene_disease gd on dp.descendant_object_id = gd.disease_id where upper(t.nm) like ? and t.object_type_id = ?))) and gcr.id in ( select gcra.gene_chem_reference_id from gene_chem_reference_axn gcra where (gcra.action_degree_type_nm = ?));Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration May 27 05 1 3s906ms 3s906ms [ User: pubeu - Total duration: 3s906ms - Times executed: 1 ]
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SELECT /* CIQH.getIxnCacheQuery */ gcr.ixn_id, NULL, NULL, NULL FROM gene_chem_reference gcr WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterDiseaseWhereEquals.Name.Gene */ gd.gene_id FROM term t INNER JOIN dag_path dp ON t.id = dp.ancestor_object_id INNER JOIN gene_disease gd ON dp.descendant_object_id = gd.disease_id WHERE UPPER(t.nm) LIKE 'ASTHMA' AND t.object_type_id = 3))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases'));
Date: 2024-05-27 05:47:19 Duration: 3s906ms Database: ctddev51 User: pubeu Bind query: yes
7 3s749ms 3s749ms 3s749ms 1 3s749ms select g.id geneid, g.acc_txt acc, g.nm nm, g.nm nmhtml, g.secondary_nm secondarynm, g.has_chems haschems, g.has_diseases hasdiseases, g.has_exposures hasexposures, g.has_phenotypes hasphenotypes, count(*) over () fullrowcount from term g where g.id in ( select gcr.gene_id from gene_chem_reference gcr where gcr.gene_id = any (array (( select gd.gene_id from term t inner join dag_path dp on t.id = dp.ancestor_object_id inner join gene_disease gd on dp.descendant_object_id = gd.disease_id where upper(t.nm) like ? and t.object_type_id = ?))) and gcr.id in ( select gcra.gene_chem_reference_id from gene_chem_reference_axn gcra where (gcra.action_degree_type_nm = ?))) order by g.nm_sort, g.id limit ?;Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration May 27 05 1 3s749ms 3s749ms -
SELECT /* AdvancedGeneQueryDAO.getData */ g.id geneId, g.acc_txt acc, g.nm nm, g.nm nmHtml, g.secondary_nm secondaryNm, g.has_chems hasChems, g.has_diseases hasDiseases, g.has_exposures hasExposures, g.has_phenotypes hasPhenotypes, COUNT(*) OVER () fullRowCount FROM term g WHERE g.id IN ( SELECT gcr.gene_id FROM gene_chem_reference gcr WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterDiseaseWhereEquals.Name.Gene */ gd.gene_id FROM term t INNER JOIN dag_path dp ON t.id = dp.ancestor_object_id INNER JOIN gene_disease gd ON dp.descendant_object_id = gd.disease_id WHERE UPPER(t.nm) LIKE 'ASTHMA' AND t.object_type_id = 3))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases'))) ORDER BY g.nm_sort, g.id LIMIT 50;
Date: 2024-05-27 05:47:24 Duration: 3s749ms Bind query: yes
8 3s567ms 3s567ms 3s567ms 1 3s567ms select g.nm genesymbol, g.id geneid, g.acc_txt geneacc, g.acc_db_cd geneaccdbcd, c.nm chemnm, c.nm_html chemnmhtml, c.acc_txt chemacc, c.secondary_nm casrn, c.id chemid, i.id ixnid, i.ixn_prose_txt ixnprose, i.ixn_prose_html ixnprosehtml, i.actions_txt ixnactions, count(distinct gcr.reference_id) refcount, count(distinct gcr.taxon_id) taxoncount, count(*) over () fullrowcount from gene_chem_reference gcr inner join ixn i on gcr.ixn_id = i.id inner join term g on gcr.gene_id = g.id inner join term c on gcr.chem_id = c.id where gcr.gene_id = any (array (( select tp.term_id from term_pathway tp where upper(tp.pathway_nm) like ? and tp.object_type_id = ?))) and gcr.id in ( select gcra.gene_chem_reference_id from gene_chem_reference_axn gcra where (gcra.action_degree_type_nm = ?)) group by g.nm, g.nm_sort, g.acc_txt, g.acc_db_cd, g.id, c.nm, c.nm_html, c.nm_sort, c.acc_txt, c.secondary_nm, c.id, i.ixn_prose_txt, i.ixn_prose_html, i.sort_txt, i.actions_txt, i.id order by g.nm_sort, c.nm_sort, i.sort_txt limit ?;Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration May 27 05 1 3s567ms 3s567ms -
SELECT /* AdvancedIxnQueryDAO.getData */ g.nm geneSymbol, g.id geneId, g.acc_txt geneAcc, g.acc_db_cd geneAccDbCd, c.nm chemNm, c.nm_html chemNmhtml, c.acc_txt chemAcc, c.secondary_nm casRN, c.id chemId, i.id ixnId, i.ixn_prose_txt ixnProse, i.ixn_prose_html ixnProseHtml, i.actions_txt ixnActions, COUNT(DISTINCT gcr.reference_id) refCount, COUNT(DISTINCT gcr.taxon_id) taxonCount, COUNT(*) OVER () fullRowCount FROM gene_chem_reference gcr INNER JOIN ixn i ON gcr.ixn_id = i.id INNER JOIN term g ON gcr.gene_id = g.id INNER JOIN term c ON gcr.chem_id = c.id WHERE /* CIQH.getIxnWhereCore */ gcr.gene_id = ANY (ARRAY (( SELECT /* IQH.getMasterPathwayWhereEquals.Name */ tp.term_id FROM term_pathway tp WHERE UPPER(tp.pathway_nm) LIKE 'METABOLISM' AND tp.object_type_id = 4))) AND gcr.id IN ( SELECT gcra.gene_chem_reference_id FROM gene_chem_reference_axn gcra WHERE (gcra.action_degree_type_nm = 'increases')) GROUP BY g.nm, g.nm_sort, g.acc_txt, g.acc_db_cd, g.id, c.nm, c.nm_html, c.nm_sort, c.acc_txt, c.secondary_nm, c.id, i.ixn_prose_txt, i.ixn_prose_html, i.sort_txt, i.actions_txt, i.id ORDER BY g.nm_sort, c.nm_sort, i.sort_txt LIMIT 50;
Date: 2024-05-27 05:47:32 Duration: 3s567ms Bind query: yes
9 3s444ms 3s444ms 3s444ms 1 3s444ms with recursive sub_node ( object_id, id, path, lvl ) as ( select n.object_id, n.id, array[n.nm_sort], ? from dag_node n where n.object_id = ? union all select n.object_id, n.id, cast(path || n.nm_sort as varchar(?)[]), sn.lvl + ? from dag_node n inner join sub_node sn on (n.parent_id = sn.id)) select distinct t.nm prinm, t.nm_html prinmhtml, t.secondary_nm secondarynm, t.acc_db_cd accdbcd, t.acc_txt termacc, t.is_leaf isleaf, t.has_chems haschems, t.has_diseases hasdiseases, t.has_exposures hasexposures, t.has_genes hasgenes, sn.lvl, sn.path, max(sn.lvl) over () maxlvl, t.has_phenotypes hasphenotypes from sub_node sn inner join term t on sn.object_id = t.id where sn.lvl <= ? order by sn.path;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration May 27 05 1 3s444ms 3s444ms [ User: pubeu - Total duration: 3s444ms - Times executed: 1 ]
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WITH recursive sub_node ( object_id, id, path, lvl ) AS ( SELECT n.object_id, n.id, ARRAY[n.nm_sort], 1 FROM dag_node n WHERE n.object_id = '588473' UNION ALL SELECT n.object_id, n.id, CAST(path || n.nm_sort AS varchar(600)[]), sn.lvl + 1 FROM dag_node n INNER JOIN sub_node sn ON (n.parent_id = sn.id)) SELECT /* TreeTermBasicsDAO.getDescendants */ DISTINCT t.nm priNm, t.nm_html priNmHtml, t.secondary_nm secondaryNm, t.acc_db_cd accDbCd, t.acc_txt termAcc, t.is_leaf isLeaf, t.has_chems hasChems, t.has_diseases hasDiseases, t.has_exposures hasExposures, t.has_genes hasGenes, sn.lvl, sn.path, MAX(sn.lvl) OVER () maxLvl, t.has_phenotypes hasPhenotypes FROM sub_node sn INNER JOIN term t ON sn.object_id = t.id WHERE sn.lvl <= 2 ORDER BY sn.path;
Date: 2024-05-27 05:45:12 Duration: 3s444ms Database: ctddev51 User: pubeu Bind query: yes
10 1s28ms 4s367ms 2s928ms 3 8s785ms select t.id, t.object_type_id, t.acc_txt, t.acc_db_cd, t.nm, t.nm_sort, t.secondary_nm, t.description, t.note, l.nm from pub1.term t, pub1.term_label l where t.object_type_id = ? and t.id = l.term_id;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration May 27 13 3 8s785ms 2s928ms [ User: editeu - Total duration: 8s785ms - Times executed: 3 ]
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select t.ID, t.OBJECT_TYPE_ID, t.ACC_TXT, t.ACC_DB_CD, t.NM, t.NM_SORT, t.SECONDARY_NM, t.DESCRIPTION, t.NOTE, l.NM from pub1.TERM t, pub1.TERM_LABEL l where t.OBJECT_TYPE_ID = 4 and t.id = l.TERM_ID;
Date: 2024-05-27 13:52:48 Duration: 4s367ms Database: ctddev51 User: editeu Bind query: yes
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select t.ID, t.OBJECT_TYPE_ID, t.ACC_TXT, t.ACC_DB_CD, t.NM, t.NM_SORT, t.SECONDARY_NM, t.DESCRIPTION, t.NOTE, l.NM from pub1.TERM t, pub1.TERM_LABEL l where t.OBJECT_TYPE_ID = 1 and t.id = l.TERM_ID;
Date: 2024-05-27 13:52:47 Duration: 3s389ms Database: ctddev51 User: editeu Bind query: yes
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select t.ID, t.OBJECT_TYPE_ID, t.ACC_TXT, t.ACC_DB_CD, t.NM, t.NM_SORT, t.SECONDARY_NM, t.DESCRIPTION, t.NOTE, l.NM from pub1.TERM t, pub1.TERM_LABEL l where t.OBJECT_TYPE_ID = 2 and t.id = l.TERM_ID;
Date: 2024-05-27 13:52:45 Duration: 1s28ms Database: ctddev51 User: editeu Bind query: yes
11 2s711ms 2s711ms 2s711ms 1 2s711ms select distinct stressorterm.nm as chemnm, stressorterm.nm_html as chemnmhtml, stressorterm.nm_sort as chemnmsort, stressorterm.acc_txt as chemacc, ( select string_agg(distinct stressorsrctype.nm || ? || stressorsrctype.cd, ?)) as stressorsrctypenm, stressor.src_details as stressorsrcdetails, stressor.sample_qty as stressorsampleqty, stressor.note as stressornote, receptor.qty as nbrreceptors, receptor.description as receptors, receptor.note as receptornotes, receptorterm.nm || ? || ( select cd from object_type where id = receptor.object_type_id) || ? || receptorterm.nm_html || ? || receptorterm.acc_txt || ? || receptorterm.acc_db_cd as receptorterms, ( select string_agg(distinct receptortobaccouse.tobacco_use_nm || ? || receptortobaccouse.pct, ?)) as smokerstatus, receptor.age as agerange, receptor.age_uom_nm as ageuomnm, receptor.age_qualifier_nm as agequalifiernm, receptor.gender_nm as gendernmsearch, receptor.id receptorid, ( select string_agg(pct || ? || gender_nm || ? || gender_nm_html, ?) from exp_receptor_gender where exp_receptor_id = receptor.id) as genderdetails, ( select string_agg(distinct receptorrace.race_nm || ? || receptorrace.pct, ?)) as receptorrace, ( select string_agg(distinct eventassaymethod.nm, ?)) as assaymethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumacctxt, ( select string_agg(distinct eventproject.project_nm, ?)) as associatedstudytitles, event.collection_start_yr || ? || event.collection_end_yr as collectionstartandendyr, event.detection_limit as detectionlimit, event.detection_limit_uom as detectionlimituom, event.detection_freq as detectionfreq, event.note as eventnote, ( select string_agg(distinct eventlocation.geographic_region_nm, ?)) as stateorprovince, ( select string_agg(distinct eventlocation.locality_txt, ?)) as localitytxt, ( select string_agg(distinct country.nm, ?)) as studycountries, exposuremarkerterm.nm || ? || ( select cd from object_type where id = exposuremarkerterm.object_type_id) || ? || exposuremarkerterm.nm_html || ? || exposuremarkerterm.acc_txt || ? || exposuremarkerterm.acc_db_cd as assayedmarkers, event.exp_marker_lvl as assaylevel, assay_uom as measurement, assay_measurement_stat as measurementstat, assay_note as assaynote, eiot.description as outcomerltnp, diseaseterm.nm || ? || ? || ? || diseaseterm.nm_html || ? || diseaseterm.acc_txt || ? || diseaseterm.acc_db_cd as diseasefield, phenotypeterm.nm || ? || ? || ? || phenotypeterm.nm_html || ? || phenotypeterm.acc_txt || ? || phenotypeterm.acc_db_cd as phenotypefield, outcome.phenotype_action_degree_type_nm as phenotypeactiondegreetypenm, e.reference_acc_txt || ? || r.abbr_authors_txt || ? || r.pub_start_yr as ref, r.abbr_authors_txt as abbrauthorstxt, ( select string_agg(distinct expstudyfactor.study_factor_nm, ?)) as studyfactornms, ( select string_agg(distinct anatomyterm.nm_html || ? || anatomyterm.acc_txt || ? || anatomyterm.id || ? || anatomyterm.acc_db_cd || ? || anatomyterm.nm, ?)) as anatomyterms, outcome.note as outcomenote, eventlocation.exp_event_id as eventid, count(*) over () fullrowcount from exposure e inner join exp_stressor stressor on e.exp_stressor_id = stressor.id inner join term stressorterm on stressor.chem_id = stressorterm.id left outer join exp_receptor receptor on e.exp_receptor_id = receptor.id left outer join exp_event event on e.exp_event_id = event.id left outer join term exposuremarkerterm on event.exp_marker_term_id = exposuremarkerterm.id left outer join exp_outcome outcome on e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot on outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseterm on outcome.disease_id = diseaseterm.id left outer join term phenotypeterm on outcome.phenotype_id = phenotypeterm.id left outer join term receptorterm on receptor.term_id = receptorterm.id inner join reference r on e.reference_id = r.id left outer join exp_stressor_stressor_src esss on stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorsrctype on esss.exp_stressor_src_type_id = stressorsrctype.id left outer join exp_receptor_tobacco_use receptortobaccouse on receptor.id = receptortobaccouse.exp_receptor_id left outer join exp_receptor_race receptorrace on receptor.id = receptorrace.exp_receptor_id left outer join exp_event_assay_method eventassaymethod on event.id = eventassaymethod.exp_event_id left outer join exp_event_location eventlocation on event.id = eventlocation.exp_event_id left outer join exp_anatomy expanatomy on outcome.id = expanatomy.exp_outcome_id left outer join term anatomyterm on expanatomy.anatomy_id = anatomyterm.id left outer join country on eventlocation.country_id = country.id left outer join exp_event_project eventproject on event.id = eventproject.exp_event_id left outer join reference_exp referenceexp on e.reference_acc_txt = referenceexp.reference_acc_txt and e.reference_acc_db_id = referenceexp.reference_acc_db_id left outer join exp_study_factor expstudyfactor on referenceexp.id = expstudyfactor.reference_exp_id where exposuremarkerterm.id = ? or receptorterm.id = ? group by chemnm, chemnmhtml, chemnmsort, chemacc, stressorsrcdetails, stressorsampleqty, stressornote, receptorterms, medium, mediumacctxt, assayedmarkers, assaylevel, measurement, measurementstat, assaynote, outcomerltnp, diseasefield, phenotypefield, phenotypeactiondegreetypenm, ref, r.abbr_authors_txt, collectionstartandendyr, receptorid, detectionlimit, detectionlimituom, detectionfreq, eventnote, outcomenote, eventid order by chemnmsort limit ?;Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration May 27 05 1 2s711ms 2s711ms [ User: pubeu - Total duration: 2s711ms - Times executed: 1 ]
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SELECT DISTINCT stressorTerm.nm as chemNm, stressorTerm.nm_html as chemNmHtml, stressorTerm.nm_sort as chemNmSort, stressorTerm.acc_txt as chemAcc, ( SELECT STRING_AGG(distinct stressorSrcType.nm || '^' || stressorSrcType.cd, '|')) as stressorSrcTypeNm, stressor.src_details as stressorSrcDetails, stressor.sample_qty as stressorSampleQty, stressor.note as stressorNote, receptor.qty as nbrReceptors, receptor.description as receptors, receptor.note as receptorNotes, receptorTerm.nm || '^' || ( select cd from object_type where id = receptor.object_type_id) || '^' || receptorTerm.nm_html || '^' || receptorTerm.acc_txt || '^' || receptorTerm.acc_db_cd as receptorTerms, ( SELECT STRING_AGG(distinct receptorTobaccoUse.tobacco_use_nm || '^' || receptorTobaccoUse.pct, ' | ')) as smokerStatus, receptor.age as ageRange, receptor.age_uom_nm as ageUOMNm, receptor.age_qualifier_nm as ageQualifierNm, receptor.gender_nm as genderNmSearch, receptor.id receptorID, ( SELECT STRING_AGG(pct || '^' || gender_nm || '^' || gender_nm_html, '|') from exp_receptor_gender where exp_receptor_id = receptor.id) as genderDetails, ( SELECT STRING_AGG(DISTINCT receptorRace.race_nm || '^' || receptorRace.pct, ' | ')) as receptorRace, ( SELECT STRING_AGG(DISTINCT eventAssayMethod.nm, ' | ')) as assayMethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumAccTxt, ( SELECT STRING_AGG(DISTINCT eventProject.project_nm, ' | ')) as associatedStudyTitles, event.collection_start_yr || '-' || event.collection_end_yr as collectionStartAndEndYr, event.detection_limit as detectionLimit, event.detection_limit_uom as detectionLimitUOM, event.detection_freq as detectionFreq, event.note as eventNote, ( SELECT STRING_AGG(DISTINCT eventLocation.geographic_region_nm, ' | ')) as stateOrProvince, ( SELECT STRING_AGG(DISTINCT eventLocation.locality_txt, ' | ')) as localityTxt, ( SELECT STRING_AGG(distinct country.nm, ' | ')) as studyCountries, exposureMarkerTerm.nm || '^' || ( select cd from object_type where id = exposureMarkerTerm.object_type_id) || '^' || exposureMarkerTerm.nm_html || '^' || exposureMarkerTerm.acc_txt || '^' || exposureMarkerTerm.acc_db_cd as assayedMarkers, event.exp_marker_lvl as assayLevel, assay_uom as measurement, assay_measurement_stat as measurementStat, assay_note as assayNote, eiot.description as outcomeRltnp, diseaseTerm.nm || '^' || 'disease' || '^' || diseaseTerm.nm_html || '^' || diseaseTerm.acc_txt || '^' || diseaseTerm.acc_db_cd as diseaseField, phenotypeTerm.nm || '^' || 'go' || '^' || phenotypeTerm.nm_html || '^' || phenotypeTerm.acc_txt || '^' || phenotypeTerm.acc_db_cd as phenotypeField, outcome.phenotype_action_degree_type_nm as phenotypeActionDegreeTypeNm, e.reference_acc_txt || '^' || r.abbr_authors_txt || '^' || r.pub_start_yr as ref, r.abbr_authors_txt as abbrAuthorsTxt, ( SELECT STRING_AGG(DISTINCT expStudyFactor.study_factor_nm, ' | ')) as studyFactorNms, ( SELECT STRING_AGG(distinct anatomyTerm.nm_html || '^' || anatomyTerm.acc_txt || '^' || anatomyTerm.id || '^' || anatomyTerm.acc_db_cd || '^' || anatomyTerm.nm, '|')) as anatomyTerms, outcome.note as outcomeNote, eventLocation.exp_event_id as eventID, COUNT(*) OVER () fullRowCount FROM exposure e inner join exp_stressor stressor ON e.exp_stressor_id = stressor.id inner join term stressorTerm ON stressor.chem_id = stressorTerm.id left outer join exp_receptor receptor ON e.exp_receptor_id = receptor.id left outer join exp_event event ON e.exp_event_id = event.id left outer join term exposureMarkerTerm ON event.exp_marker_term_id = exposureMarkerTerm.id left outer join exp_outcome outcome ON e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot ON outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseTerm ON outcome.disease_id = diseaseTerm.id left outer join term phenotypeTerm ON outcome.phenotype_id = phenotypeTerm.id left outer join term receptorTerm ON receptor.term_id = receptorTerm.id inner join reference r ON e.reference_id = r.id left outer join exp_stressor_stressor_src esss ON stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorSrcType ON esss.exp_stressor_src_type_id = stressorSrcType.id left outer join exp_receptor_tobacco_use receptorTobaccoUse ON receptor.id = receptorTobaccoUse.exp_receptor_id left outer join exp_receptor_race receptorRace ON receptor.id = receptorRace.exp_receptor_id left outer join exp_event_assay_method eventAssayMethod ON event.id = eventAssayMethod.exp_event_id left outer join exp_event_location eventLocation ON event.id = eventLocation.exp_event_id left outer join exp_anatomy expAnatomy ON outcome.id = expAnatomy.exp_outcome_id Left outer join term anatomyTerm ON expAnatomy.anatomy_id = anatomyTerm.id left outer join country ON eventLocation.country_id = country.id left outer join exp_event_project eventProject ON event.id = eventProject.exp_event_id left outer join reference_exp referenceExp on e.reference_acc_txt = referenceExp.reference_acc_txt and e.reference_acc_db_id = referenceExp.reference_acc_db_id left outer join exp_study_factor expStudyFactor on referenceExp.id = expStudyFactor.reference_exp_id where exposureMarkerTerm.id = '1425257' or receptorTerm.id = '1425257' GROUP BY chemNm, chemNmHtml, chemNmSort, chemAcc, stressorSrcDetails, stressorSampleQty, stressorNote, receptorTerms, medium, mediumAccTxt, assayedMarkers, assayLevel, measurement, measurementStat, assayNote, outcomeRltnp, diseaseField, phenotypeField, phenotypeActionDegreeTypeNm, ref, r.abbr_authors_txt, collectionStartAndEndYr, receptorID, detectionLimit, detectionLimitUOM, detectionFreq, eventNote, outcomeNote, eventID order by chemNmSort LIMIT 50;
Date: 2024-05-27 05:48:41 Duration: 2s711ms Database: ctddev51 User: pubeu Bind query: yes
12 2s612ms 2s731ms 2s657ms 4 10s631ms select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where diseaseterm.id = any (array ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?)) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration May 27 13 4 10s631ms 2s657ms [ User: pubeu - Total duration: 5s256ms - Times executed: 2 ]
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where diseaseTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 3 and upper(baseTerm.nm) LIKE 'ARTHRITIS, RHEUMATOID')) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:01:46 Duration: 2s731ms Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where diseaseTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 3 and upper(baseTerm.nm) LIKE 'ARTHRITIS, RHEUMATOID')) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 1000;
Date: 2024-05-27 13:12:37 Duration: 2s644ms Bind query: yes
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select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where diseaseTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 3 and upper(baseTerm.nm) LIKE 'ARTHRITIS, RHEUMATOID')) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 13:12:29 Duration: 2s644ms Database: ctddev51 User: pubeu Bind query: yes
13 2s139ms 2s139ms 2s139ms 1 2s139ms select distinct phenotypeterm.nm as gonm, phenotypeterm.nm_html as gonmhtml, phenotypeterm.acc_txt as goacc, diseaseterm.nm as diseasenm, diseaseterm.nm_html as diseasenmhtml, diseaseterm.acc_txt as diseaseacc, diseaseterm.acc_db_cd as diseaseaccdbcd, chemterm.nm as chemnm, chemterm.nm_html as chemnmhtml, chemterm.acc_txt as chemacc, geneterm.nm as genesymbol, geneterm.nm_html as genesymbolhtml, geneterm.acc_txt as geneacc, count(*) over () fullrowcount from phenotype_term_reference viachemptr, phenotype_term_reference viageneptr, term phenotypeterm, term diseaseterm, term geneterm, term chemterm where viachemptr.via_term_id in ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?) and viageneptr.via_term_id in ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and upper(baseterm.nm) like ?) and phenotypeterm.id = any (array ( select baseterm.id from term baseterm where baseterm.object_type_id = ? and baseterm.id in ( select object_id from db_link l where l.acc_txt = ? and l.type_cd = ? and l.object_type_id = ?))) and viachemptr.phenotype_id = phenotypeterm.id and viachemptr.term_object_type_id = ? and viachemptr.term_id = diseaseterm.id and viachemptr.via_term_object_type_id = ? and viachemptr.via_term_id = chemterm.id and viachemptr.term_id = viageneptr.term_id and viachemptr.phenotype_id = viageneptr.phenotype_id and viageneptr.via_term_object_type_id = ? and viageneptr.via_term_id = geneterm.id and exists ( select ? from gene_chem_reference where gene_id = geneterm.id and chem_id = chemterm.id) group by phenotypeterm.nm, phenotypeterm.nm_html, phenotypeterm.acc_txt, diseaseterm.nm, diseaseterm.nm_html, diseaseterm.acc_txt, diseaseterm.acc_db_cd, chemterm.nm, chemterm.nm_html, chemterm.acc_txt, geneterm.nm, geneterm.nm_html, geneterm.acc_txt order by chemterm.nm limit ?;Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration May 27 05 1 2s139ms 2s139ms -
select distinct phenotypeTerm.nm AS goNm, phenotypeTerm.nm_html AS goNmHtml, phenotypeTerm.acc_txt AS goAcc, diseaseTerm.nm AS diseaseNm, diseaseTerm.nm_html AS diseaseNmHtml, diseaseTerm.acc_txt AS diseaseAcc, diseaseTerm.acc_db_cd AS diseaseAccDbCd, chemTerm.nm AS chemNm, chemTerm.nm_html AS chemNmHtml, chemTerm.acc_txt AS chemAcc, geneTerm.nm AS geneSymbol, geneTerm.nm_html AS geneSymbolHtml, geneTerm.acc_txt AS geneAcc, COUNT(*) OVER () fullRowCount from PHENOTYPE_TERM_REFERENCE viaChemPTR, PHENOTYPE_TERM_REFERENCE viaGenePTR, TERM phenotypeTerm, TERM diseaseTerm, TERM geneTerm, TERM chemTerm where viaChemPTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 2 and upper(baseTerm.nm) LIKE 'ZINC') and viaGenePTR.via_term_id IN ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 4 and upper(baseTerm.nm) LIKE 'BCL2') and phenotypeTerm.id = ANY (ARRAY ( select baseTerm.id from term baseTerm WHERE baseTerm.object_type_id = 5 and baseTerm.id in ( select object_id from db_link l where l.acc_txt = 'GO:0006915' AND l.type_cd = 'A' AND l.object_type_id = 5))) and viaChemPTR.phenotype_id = phenotypeTerm.id and viaChemPTR.term_object_type_id = 3 and viaChemPTR.term_id = diseaseTerm.id and viaChemPTR.via_term_object_type_id = 2 and viaChemPTR.via_term_id = chemTerm.id and viaChemPTR.term_id = viaGenePTR.term_id and viaChemPTR.phenotype_id = viaGenePTR.phenotype_id and viaGenePTR.via_term_object_type_id = 4 and viaGenePTR.via_term_id = geneTerm.id and exists ( select 1 from gene_chem_reference where gene_id = geneTerm.id and chem_id = chemTerm.id) GROUP BY phenotypeTerm.nm, phenotypeTerm.nm_html, phenotypeTerm.acc_txt, diseaseTerm.nm, diseaseTerm.nm_html, diseaseTerm.acc_txt, diseaseTerm.acc_db_cd, chemTerm.nm, chemTerm.nm_html, chemTerm.acc_txt, geneTerm.nm, geneTerm.nm_html, geneTerm.acc_txt order by chemTerm.nm LIMIT 50;
Date: 2024-05-27 05:48:56 Duration: 2s139ms Bind query: yes
14 1s866ms 2s93ms 1s979ms 2 3s959ms select * from tm_reference;Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration May 27 10 2 3s959ms 1s979ms [ User: edit - Total duration: 2s93ms - Times executed: 1 ]
[ Application: pgAdmin 4 - CONN:9604595 - Total duration: 2s93ms - Times executed: 1 ]
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select * from tm_reference;
Date: 2024-05-27 10:24:45 Duration: 2s93ms Database: ctddev51 User: edit Application: pgAdmin 4 - CONN:9604595
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select * from tm_reference;
Date: 2024-05-27 10:24:52 Duration: 1s866ms
15 1s580ms 1s580ms 1s580ms 1 1s580ms select * from tm_reference order by create_tm desc;Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration May 27 10 1 1s580ms 1s580ms -
select * from tm_reference order by create_tm desc;
Date: 2024-05-27 10:25:25 Duration: 1s580ms
16 1s546ms 1s546ms 1s546ms 1 1s546ms select t.nm, t.nm_html nmhtml, t.secondary_nm secondarynm, t.acc_txt acc, ? || t.nm accquerystr, t.has_chems haschems, t.has_diseases hasdiseases, t.has_exposures hasexposures, t.has_phenotypes hasphenotypes, count(*) over () fullrowcount from term t where t.object_type_id = ? and regexp_replace(upper(substring(t.nm, ?, ?)), ?, ?) = ? order by t.nm_sort limit ?;Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration May 27 05 1 1s546ms 1s546ms -
SELECT /* GeneBrowseTermsDAO */ t.nm, t.nm_html nmHtml, t.secondary_nm secondaryNm, t.acc_txt acc, 'name:' || t.nm accQueryStr, t.has_chems hasChems, t.has_diseases hasDiseases, t.has_exposures hasExposures, t.has_phenotypes hasPhenotypes, COUNT(*) OVER () fullRowCount FROM term t WHERE t.object_type_id = '4' AND REGEXP_REPLACE(UPPER(SUBSTRING(t.nm, 1, 1)), '[^A-Z]', '#') = 'A' ORDER BY t.nm_sort LIMIT 100;
Date: 2024-05-27 05:47:09 Duration: 1s546ms Bind query: yes
17 1s470ms 1s470ms 1s470ms 1 1s470ms select distinct stressorterm.nm as chemnm, stressorterm.nm_html as chemnmhtml, stressorterm.nm_sort as chemnmsort, stressorterm.acc_txt as chemacc, ( select string_agg(distinct stressorsrctype.nm || ? || stressorsrctype.cd, ?)) as stressorsrctypenm, stressor.src_details as stressorsrcdetails, stressor.sample_qty as stressorsampleqty, stressor.note as stressornote, receptor.qty as nbrreceptors, receptor.description as receptors, receptor.note as receptornotes, receptorterm.nm || ? || ( select cd from object_type where id = receptor.object_type_id) || ? || receptorterm.nm_html || ? || receptorterm.acc_txt || ? || receptorterm.acc_db_cd as receptorterms, ( select string_agg(distinct receptortobaccouse.tobacco_use_nm || ? || receptortobaccouse.pct, ?)) as smokerstatus, receptor.age as agerange, receptor.age_uom_nm as ageuomnm, receptor.age_qualifier_nm as agequalifiernm, receptor.gender_nm as gendernmsearch, receptor.id receptorid, ( select string_agg(pct || ? || gender_nm || ? || gender_nm_html, ?) from exp_receptor_gender where exp_receptor_id = receptor.id) as genderdetails, ( select string_agg(distinct receptorrace.race_nm || ? || receptorrace.pct, ?)) as receptorrace, ( select string_agg(distinct eventassaymethod.nm, ?)) as assaymethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumacctxt, ( select string_agg(distinct eventproject.project_nm, ?)) as associatedstudytitles, event.collection_start_yr || ? || event.collection_end_yr as collectionstartandendyr, event.detection_limit as detectionlimit, event.detection_limit_uom as detectionlimituom, event.detection_freq as detectionfreq, event.note as eventnote, ( select string_agg(distinct eventlocation.geographic_region_nm, ?)) as stateorprovince, ( select string_agg(distinct eventlocation.locality_txt, ?)) as localitytxt, ( select string_agg(distinct country.nm, ?)) as studycountries, exposuremarkerterm.nm || ? || ( select cd from object_type where id = exposuremarkerterm.object_type_id) || ? || exposuremarkerterm.nm_html || ? || exposuremarkerterm.acc_txt || ? || exposuremarkerterm.acc_db_cd as assayedmarkers, event.exp_marker_lvl as assaylevel, assay_uom as measurement, assay_measurement_stat as measurementstat, assay_note as assaynote, eiot.description as outcomerltnp, diseaseterm.nm || ? || ? || ? || diseaseterm.nm_html || ? || diseaseterm.acc_txt || ? || diseaseterm.acc_db_cd as diseasefield, phenotypeterm.nm || ? || ? || ? || phenotypeterm.nm_html || ? || phenotypeterm.acc_txt || ? || phenotypeterm.acc_db_cd as phenotypefield, outcome.phenotype_action_degree_type_nm as phenotypeactiondegreetypenm, e.reference_acc_txt || ? || r.abbr_authors_txt || ? || r.pub_start_yr as ref, r.abbr_authors_txt as abbrauthorstxt, ( select string_agg(distinct expstudyfactor.study_factor_nm, ?)) as studyfactornms, ( select string_agg(distinct anatomyterm.nm_html || ? || anatomyterm.acc_txt || ? || anatomyterm.id || ? || anatomyterm.acc_db_cd || ? || anatomyterm.nm, ?)) as anatomyterms, outcome.note as outcomenote, eventlocation.exp_event_id as eventid, count(*) over () fullrowcount from exposure e inner join exp_stressor stressor on e.exp_stressor_id = stressor.id inner join term stressorterm on stressor.chem_id = stressorterm.id left outer join exp_receptor receptor on e.exp_receptor_id = receptor.id left outer join exp_event event on e.exp_event_id = event.id left outer join term exposuremarkerterm on event.exp_marker_term_id = exposuremarkerterm.id left outer join exp_outcome outcome on e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot on outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseterm on outcome.disease_id = diseaseterm.id left outer join term phenotypeterm on outcome.phenotype_id = phenotypeterm.id left outer join term receptorterm on receptor.term_id = receptorterm.id inner join reference r on e.reference_id = r.id left outer join exp_stressor_stressor_src esss on stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorsrctype on esss.exp_stressor_src_type_id = stressorsrctype.id left outer join exp_receptor_tobacco_use receptortobaccouse on receptor.id = receptortobaccouse.exp_receptor_id left outer join exp_receptor_race receptorrace on receptor.id = receptorrace.exp_receptor_id left outer join exp_event_assay_method eventassaymethod on event.id = eventassaymethod.exp_event_id left outer join exp_event_location eventlocation on event.id = eventlocation.exp_event_id left outer join exp_anatomy expanatomy on outcome.id = expanatomy.exp_outcome_id left outer join term anatomyterm on expanatomy.anatomy_id = anatomyterm.id left outer join country on eventlocation.country_id = country.id left outer join exp_event_project eventproject on event.id = eventproject.exp_event_id left outer join reference_exp referenceexp on e.reference_acc_txt = referenceexp.reference_acc_txt and e.reference_acc_db_id = referenceexp.reference_acc_db_id left outer join exp_study_factor expstudyfactor on referenceexp.id = expstudyfactor.reference_exp_id where outcome.disease_id in ( select descendant_object_id from dag_path where ancestor_object_id = ?) or receptorterm.id in ( select descendant_object_id from dag_path where ancestor_object_id = ?) group by chemnm, chemnmhtml, chemnmsort, chemacc, stressorsrcdetails, stressorsampleqty, stressornote, receptorterms, medium, mediumacctxt, assayedmarkers, assaylevel, measurement, measurementstat, assaynote, outcomerltnp, diseasefield, phenotypefield, phenotypeactiondegreetypenm, ref, r.abbr_authors_txt, collectionstartandendyr, receptorid, detectionlimit, detectionlimituom, detectionfreq, eventnote, outcomenote, eventid order by chemnmsort limit ?;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration May 27 05 1 1s470ms 1s470ms -
SELECT DISTINCT stressorTerm.nm as chemNm, stressorTerm.nm_html as chemNmHtml, stressorTerm.nm_sort as chemNmSort, stressorTerm.acc_txt as chemAcc, ( SELECT STRING_AGG(distinct stressorSrcType.nm || '^' || stressorSrcType.cd, '|')) as stressorSrcTypeNm, stressor.src_details as stressorSrcDetails, stressor.sample_qty as stressorSampleQty, stressor.note as stressorNote, receptor.qty as nbrReceptors, receptor.description as receptors, receptor.note as receptorNotes, receptorTerm.nm || '^' || ( select cd from object_type where id = receptor.object_type_id) || '^' || receptorTerm.nm_html || '^' || receptorTerm.acc_txt || '^' || receptorTerm.acc_db_cd as receptorTerms, ( SELECT STRING_AGG(distinct receptorTobaccoUse.tobacco_use_nm || '^' || receptorTobaccoUse.pct, ' | ')) as smokerStatus, receptor.age as ageRange, receptor.age_uom_nm as ageUOMNm, receptor.age_qualifier_nm as ageQualifierNm, receptor.gender_nm as genderNmSearch, receptor.id receptorID, ( SELECT STRING_AGG(pct || '^' || gender_nm || '^' || gender_nm_html, '|') from exp_receptor_gender where exp_receptor_id = receptor.id) as genderDetails, ( SELECT STRING_AGG(DISTINCT receptorRace.race_nm || '^' || receptorRace.pct, ' | ')) as receptorRace, ( SELECT STRING_AGG(DISTINCT eventAssayMethod.nm, ' | ')) as assayMethods, event.medium_nm as medium, event.medium_term_acc_txt as mediumAccTxt, ( SELECT STRING_AGG(DISTINCT eventProject.project_nm, ' | ')) as associatedStudyTitles, event.collection_start_yr || '-' || event.collection_end_yr as collectionStartAndEndYr, event.detection_limit as detectionLimit, event.detection_limit_uom as detectionLimitUOM, event.detection_freq as detectionFreq, event.note as eventNote, ( SELECT STRING_AGG(DISTINCT eventLocation.geographic_region_nm, ' | ')) as stateOrProvince, ( SELECT STRING_AGG(DISTINCT eventLocation.locality_txt, ' | ')) as localityTxt, ( SELECT STRING_AGG(distinct country.nm, ' | ')) as studyCountries, exposureMarkerTerm.nm || '^' || ( select cd from object_type where id = exposureMarkerTerm.object_type_id) || '^' || exposureMarkerTerm.nm_html || '^' || exposureMarkerTerm.acc_txt || '^' || exposureMarkerTerm.acc_db_cd as assayedMarkers, event.exp_marker_lvl as assayLevel, assay_uom as measurement, assay_measurement_stat as measurementStat, assay_note as assayNote, eiot.description as outcomeRltnp, diseaseTerm.nm || '^' || 'disease' || '^' || diseaseTerm.nm_html || '^' || diseaseTerm.acc_txt || '^' || diseaseTerm.acc_db_cd as diseaseField, phenotypeTerm.nm || '^' || 'go' || '^' || phenotypeTerm.nm_html || '^' || phenotypeTerm.acc_txt || '^' || phenotypeTerm.acc_db_cd as phenotypeField, outcome.phenotype_action_degree_type_nm as phenotypeActionDegreeTypeNm, e.reference_acc_txt || '^' || r.abbr_authors_txt || '^' || r.pub_start_yr as ref, r.abbr_authors_txt as abbrAuthorsTxt, ( SELECT STRING_AGG(DISTINCT expStudyFactor.study_factor_nm, ' | ')) as studyFactorNms, ( SELECT STRING_AGG(distinct anatomyTerm.nm_html || '^' || anatomyTerm.acc_txt || '^' || anatomyTerm.id || '^' || anatomyTerm.acc_db_cd || '^' || anatomyTerm.nm, '|')) as anatomyTerms, outcome.note as outcomeNote, eventLocation.exp_event_id as eventID, COUNT(*) OVER () fullRowCount FROM exposure e inner join exp_stressor stressor ON e.exp_stressor_id = stressor.id inner join term stressorTerm ON stressor.chem_id = stressorTerm.id left outer join exp_receptor receptor ON e.exp_receptor_id = receptor.id left outer join exp_event event ON e.exp_event_id = event.id left outer join term exposureMarkerTerm ON event.exp_marker_term_id = exposureMarkerTerm.id left outer join exp_outcome outcome ON e.exp_outcome_id = outcome.id left outer join exp_outcome_ixn_type eiot ON outcome.exp_outcome_ixn_type_id = eiot.id left outer join term diseaseTerm ON outcome.disease_id = diseaseTerm.id left outer join term phenotypeTerm ON outcome.phenotype_id = phenotypeTerm.id left outer join term receptorTerm ON receptor.term_id = receptorTerm.id inner join reference r ON e.reference_id = r.id left outer join exp_stressor_stressor_src esss ON stressor.id = esss.exp_stressor_id left outer join exp_stressor_src_type stressorSrcType ON esss.exp_stressor_src_type_id = stressorSrcType.id left outer join exp_receptor_tobacco_use receptorTobaccoUse ON receptor.id = receptorTobaccoUse.exp_receptor_id left outer join exp_receptor_race receptorRace ON receptor.id = receptorRace.exp_receptor_id left outer join exp_event_assay_method eventAssayMethod ON event.id = eventAssayMethod.exp_event_id left outer join exp_event_location eventLocation ON event.id = eventLocation.exp_event_id left outer join exp_anatomy expAnatomy ON outcome.id = expAnatomy.exp_outcome_id Left outer join term anatomyTerm ON expAnatomy.anatomy_id = anatomyTerm.id left outer join country ON eventLocation.country_id = country.id left outer join exp_event_project eventProject ON event.id = eventProject.exp_event_id left outer join reference_exp referenceExp on e.reference_acc_txt = referenceExp.reference_acc_txt and e.reference_acc_db_id = referenceExp.reference_acc_db_id left outer join exp_study_factor expStudyFactor on referenceExp.id = expStudyFactor.reference_exp_id where outcome.disease_id in ( select descendant_object_id from dag_path where ancestor_object_id = '2052958') or receptorTerm.id in ( select descendant_object_id from dag_path where ancestor_object_id = '2052958') GROUP BY chemNm, chemNmHtml, chemNmSort, chemAcc, stressorSrcDetails, stressorSampleQty, stressorNote, receptorTerms, medium, mediumAccTxt, assayedMarkers, assayLevel, measurement, measurementStat, assayNote, outcomeRltnp, diseaseField, phenotypeField, phenotypeActionDegreeTypeNm, ref, r.abbr_authors_txt, collectionStartAndEndYr, receptorID, detectionLimit, detectionLimitUOM, detectionFreq, eventNote, outcomeNote, eventID order by chemNmSort LIMIT 50;
Date: 2024-05-27 05:48:43 Duration: 1s470ms Bind query: yes
18 1s459ms 1s459ms 1s459ms 1 1s459ms select d.abbr dagabbr, d.nm dagnm, gt.level_min_no daglevelmin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pvalcorrected, te.raw_p_val pvalraw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, count(*) over () fullrowcount from term_enrichment te inner join dag_node gt on te.enriched_term_id = gt.object_id inner join dag d on gt.dag_id = d.id where te.term_id = ? and te.enriched_object_type_id = ? order by gt.nm_sort desc limit ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration May 27 05 1 1s459ms 1s459ms -
SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY gt.nm_sort DESC LIMIT 50;
Date: 2024-05-27 05:47:53 Duration: 1s459ms Bind query: yes
19 1s332ms 1s495ms 1s413ms 2 2s827ms select fg.nm fromgenesymbol, fg.acc_txt fromgeneacc, tg.nm togenesymbol, tg.acc_txt togeneacc, ft.nm fromtaxonnm, ft.secondary_nm fromtaxoncommonnm, ft.acc_txt fromtaxonacc, tt.nm totaxonnm, tt.secondary_nm totaxoncommonnm, tt.acc_txt totaxonacc, ggr.experimental_sys_nm, ggr.experimental_sys_type, ( select string_agg(ggt.throughput_txt, ? order by ggt.throughput_txt) from gene_gene_ref_throughput ggt where ggt.gene_gene_reference_id = ggr.id) throughput, count(*) over () fullrowcount from gene_gene_reference ggr inner join term fg on ggr.from_gene_id = fg.id inner join term tg on ggr.to_gene_id = tg.id inner join term ft on ggr.from_taxon_id = ft.id inner join term tt on ggr.to_taxon_id = tt.id where ggr.reference_id = ? order by fg.nm_sort, tg.nm_sort limit ?;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration May 27 05 2 2s827ms 1s413ms -
SELECT /* ReferenceGeneGeneIxnsDAO */ fg.nm fromGeneSymbol, fg.acc_txt fromGeneAcc, tg.nm toGeneSymbol, tg.acc_txt toGeneAcc, ft.nm fromTaxonNm, ft.secondary_nm fromTaxonCommonNm, ft.acc_txt fromTaxonAcc, tt.nm toTaxonNm, tt.secondary_nm toTaxonCommonNm, tt.acc_txt toTaxonAcc, ggr.experimental_sys_nm, ggr.experimental_sys_type, ( SELECT STRING_AGG(ggt.throughput_txt, ', ' ORDER BY ggt.throughput_txt) FROM gene_gene_ref_throughput ggt WHERE ggt.gene_gene_reference_id = ggr.id) throughput, COUNT(*) OVER () fullRowCount FROM gene_gene_reference ggr INNER JOIN term fg ON ggr.from_gene_id = fg.id INNER JOIN term tg ON ggr.to_gene_id = tg.id INNER JOIN term ft ON ggr.from_taxon_id = ft.id INNER JOIN term tt ON ggr.to_taxon_id = tt.id WHERE ggr.reference_id = '111363' ORDER BY fg.nm_sort, tg.nm_sort LIMIT 50;
Date: 2024-05-27 05:48:07 Duration: 1s495ms Bind query: yes
-
SELECT /* ReferenceGeneGeneIxnsDAO */ fg.nm fromGeneSymbol, fg.acc_txt fromGeneAcc, tg.nm toGeneSymbol, tg.acc_txt toGeneAcc, ft.nm fromTaxonNm, ft.secondary_nm fromTaxonCommonNm, ft.acc_txt fromTaxonAcc, tt.nm toTaxonNm, tt.secondary_nm toTaxonCommonNm, tt.acc_txt toTaxonAcc, ggr.experimental_sys_nm, ggr.experimental_sys_type, ( SELECT STRING_AGG(ggt.throughput_txt, ', ' ORDER BY ggt.throughput_txt) FROM gene_gene_ref_throughput ggt WHERE ggt.gene_gene_reference_id = ggr.id) throughput, COUNT(*) OVER () fullRowCount FROM gene_gene_reference ggr INNER JOIN term fg ON ggr.from_gene_id = fg.id INNER JOIN term tg ON ggr.to_gene_id = tg.id INNER JOIN term ft ON ggr.from_taxon_id = ft.id INNER JOIN term tt ON ggr.to_taxon_id = tt.id WHERE ggr.reference_id = '111363' ORDER BY fg.nm_sort, tg.nm_sort LIMIT 50;
Date: 2024-05-27 05:48:06 Duration: 1s332ms Bind query: yes
20 1s139ms 1s155ms 1s146ms 3 3s438ms select d.abbr dagabbr, d.nm dagnm, gt.level_min_no daglevelmin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pvalcorrected, te.raw_p_val pvalraw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, count(*) over () fullrowcount from term_enrichment te inner join dag_node gt on te.enriched_term_id = gt.object_id inner join dag d on gt.dag_id = d.id where te.term_id = ? and te.enriched_object_type_id = ? order by te.corrected_p_val, d.abbr, gt.nm_sort limit ?;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration May 27 05 3 3s438ms 1s146ms [ User: pubeu - Total duration: 1s155ms - Times executed: 1 ]
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SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY te.corrected_p_val, d.abbr, gt.nm_sort LIMIT 50;
Date: 2024-05-27 05:47:51 Duration: 1s155ms Database: ctddev51 User: pubeu Bind query: yes
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SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY te.corrected_p_val, d.abbr, gt.nm_sort LIMIT 50;
Date: 2024-05-27 05:47:56 Duration: 1s142ms Bind query: yes
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SELECT /* ChemGODAO */ d.abbr dagAbbr, d.nm dagNm, gt.level_min_no dagLevelMin, gt.nm gonm, gt.nm_html gonmhtml, gt.acc_txt goacc, gt.object_id goid, te.corrected_p_val pValCorrected, te.raw_p_val pValRaw, te.target_match_qty targetmatchqty, te.target_total_qty targettotalqty, te.background_match_qty backgroundmatchqty, te.background_total_qty backgroundtotalqty, COUNT(*) OVER () fullRowCount FROM term_enrichment te INNER JOIN dag_node gt ON te.enriched_term_id = gt.object_id INNER JOIN dag d ON gt.dag_id = d.id WHERE te.term_id = '1285538' AND te.enriched_object_type_id = 5 ORDER BY te.corrected_p_val, d.abbr, gt.nm_sort LIMIT 50;
Date: 2024-05-27 05:47:52 Duration: 1s139ms Bind query: yes
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
-
Events
Log levels
Key values
- 7,713 Log entries
Events distribution
Key values
- 0 PANIC entries
- 0 FATAL entries
- 7 ERROR entries
- 1 WARNING entries
Most Frequent Errors/Events
Key values
- 2 Max number of times the same event was reported
- 8 Total events found
Rank Times reported Error 1 2 ERROR: permission denied for schema ...
Times Reported Most Frequent Error / Event #1
Day Hour Count May 27 16 2 - ERROR: permission denied for schema pubc at character 16
Statement: select * from pubc.ctd_reference limit 100
Date: 2024-05-27 16:18:43 Database: ctddev51 Application: pgAdmin 4 - CONN:4318883 User: pub1 Remote:
2 2 ERROR: relation "..." does not exist
Times Reported Most Frequent Error / Event #2
Day Hour Count May 27 16 2 - ERROR: relation "ctd_reference" does not exist at character 16
- ERROR: relation "pub1.ctd_reference" does not exist at character 16
Statement: select * from ctd_reference limit 100
Date: 2024-05-27 16:17:51
Statement: select * from pub1.ctd_reference limit 100
Date: 2024-05-27 16:19:25
3 1 ERROR: permission denied for table ...
Times Reported Most Frequent Error / Event #3
Day Hour Count May 27 16 1 - ERROR: permission denied for table ctd_reference
Statement: select * from pubc.ctd_reference limit 100
Date: 2024-05-27 16:18:04
4 1 ERROR: syntax error at or near "..."
Times Reported Most Frequent Error / Event #4
Day Hour Count May 27 10 1 - ERROR: syntax error at or near "select" at character 55
Statement: select * from tm_reference order by create_tm desc select * from tm_reference_term limit 100
Date: 2024-05-27 10:26:24
5 1 WARNING: there is no transaction in progress
Times Reported Most Frequent Error / Event #5
Day Hour Count May 27 16 1 6 1 ERROR: VACUUM cannot run inside a transaction block
Times Reported Most Frequent Error / Event #6
Day Hour Count May 27 16 1 - ERROR: VACUUM cannot run inside a transaction block
Statement: /* * Populates the ctd_reference table. * * $Id: pop_ctd_reference.sql 17134 2023-07-27 14:40:21Z twiegers $ */ TRUNCATE TABLE ctd_reference; ALTER SEQUENCE ctd_reference_id_seq RESTART; -- articles INSERT INTO ctd_reference (title ,core_citation_txt ,authors_txt ,pub_dt -- Is this reference contained in the REFERENCE table? ,is_in_ctd -- Is this reference the one to be used for citing CTD? ,is_primary_citation ,acc_txt ,acc_db_cd ,type_cd ) VALUES ('CTD Tetramers: a new online tool that computationally links curated chemicals, genes, phenotypes, and diseases to inform molecular mechanisms for environmental health.' ,'Toxicol Sci. 2023 Jul 24:kfad069.' ,'Davis AP, Wiegers TC, Wiegers J, Wyatt B, Johnson RJ, Sciaky D, Barkalow F, Strong M, Planchart A, Mattingly CJ' ,'2023-07-24' ,false ,FALSE ,'37486259' ,'PUBMED' ,'a' ) ,('Comparative Toxicogenomics Database (CTD): update 2023.' ,'Nucleic Acids Res. 2022 Sep 28.' ,'Davis AP, Wiegers TC, Johnson RJ, Sciaky D, Wiegers J, Mattingly CJ' ,'2022-09-28' ,false ,TRUE ,'36169237' ,'PUBMED' ,'a' ) ,('Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the comparative toxicogenomics database.' ,'Curr Res Toxicol.' ,'Grondin CJ, Davis AP, Wiegers JA, Wiegers TC, Sciaky D, Johnson RJ, Mattingly CJ' ,'2021-08-05' ,false ,FALSE ,'34458863' ,'PUBMED' ,'a' ) ,('Regulatory Status of Pesticide Residues in Cannabis: Implications to Medical Use in Neurological Diseases.' ,'Curr Res Toxicol. Volume 2, 2021, Pages 140-148.' ,'Pinkhasova DV, Jameson LE, Conrow KD, Simeone MP, Davis AP, Wiegers TC, Mattingly CJ, Leung MCK' ,'2021-07-22' ,false ,FALSE ,'34308371' ,'PUBMED' ,'a' ) ,('CTD anatomy: Analyzing chemical-induced phenotypes and exposures from an anatomical perspective, with implications for environmental health studies.' ,'Curr Res Toxicol. Volume 2, 2021, Pages 128-139.' ,'Davis AP, Wiegers TC, Wiegers J, Grondin CJ, Johnson RJ, Sciaky D, Mattingly CJ' ,'2021-03-06' ,false ,FALSE ,'33768211' ,'PUBMED' ,'a' ) ,('The Comparative Toxicogenomics Database: update 2021.' ,'Nucleic Acids Res. 2020 Oct 17.' ,'Davis AP, Grondin CJ, Johnson RJ, Sciaky D, Wiegers J, Wiegers TC, Mattingly CJ' ,'2020-10-17' ,false ,FALSE ,'33068428' ,'PUBMED' ,'a' ) ,('Leveraging the Comparative Toxicogenomics Database to fill in knowledge gaps for environmental health: a test case for air pollution-induced cardiovascular disease.' ,'Toxicol Sci. 2020 Jul 14.' ,'Davis AP, Wiegers TC, Grondin CJ, Johnson RJ, Sciaky D, Wiegers J, Mattingly CJ' ,'2020-07-14' ,false ,FALSE ,'32663284' ,'PUBMED' ,'a' ) ,('Public data sources to support systems toxicology applications.' ,'Curr Opin Toxicol. 2019 August 16:17-24.' ,'Davis AP, Wiegers J, Wiegers TC, Mattingly CJ' ,'2019-08-16' ,false ,FALSE ,'33604492' ,'PUBMED' ,'a' ) ,('The Comparative Toxicogenomics Database: update 2019.' ,'Nucleic Acids Res. 2018 Sep 24.' ,'Davis AP, Grondin CJ, Johnson RJ, Sciaky D, McMorran R, Wiegers J, Wiegers TC, Mattingly CJ' ,'2018-09-24' ,false ,FALSE ,'30247620' ,'PUBMED' ,'a' ) ,('Chemical-induced phenotypes at CTD help inform the pre-disease state and construct adverse outcome pathways.' ,'Toxicol Sci. 2018 May 28.' ,'Davis AP, Wiegers TC, Wiegers J, Johnson RJ, Sciaky D, Grondin CJ, Mattingly CJ' ,'2018-05-28' ,false ,false ,'29846728' ,'PUBMED' ,'a' ) ,('Accessing an Expanded Exposure Science Module at the Comparative Toxicogenomics Database.' ,'Environ Health Perspect. 2018 Jan 18;126(1):014501.' ,'Grondin CJ, Davis AP, Wiegers TC, Wiegers JA, Mattingly CJ' ,'2018-01-18' ,false ,false ,'29351546' ,'PUBMED' ,'a' ) ,('The Comparative Toxicogenomics Database: update 2017.' ,'Nucleic Acids Res. 2016 Sep 19;[Epub ahead of print]' ,'Davis AP, Grondin CJ, Johnson RJ, Sciaky D, King BL, McMorran R, Wiegers J, Wiegers TC, Mattingly CJ.' ,'2016-10-03' ,false ,FALSE ,'27651457' ,'PUBMED' ,'a' ) ,('Advancing Exposure Science through Chemical Data Curation and Integration in the Comparative Toxicogenomics Database.' ,'Environ Health Perspect. 2016 May 12' ,'Grondin CJ, Davis AP, Wiegers TC, King BL, Wiegers JA, Reif DM, Hoppin JA, Mattingly CJ.' ,'2016-05-12' ,false ,false ,'27170236' ,'PUBMED' ,'a' ) ,('Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database.' ,'PLoS One. 2016 May 12;11(5):e0155530.' ,'Davis AP, Wiegers TC, King BL, Wiegers J, Grondin CJ, Sciaky D, Johnson RJ, Mattingly CJ.' ,'2016-05-12' ,false ,false ,'27171405' ,'PUBMED' ,'a' ) ,('ToxEvaluator: an integrated computational platform to aid the interpretation of toxicology study-related findings.' ,'Database (Oxford). 2016 May 9;2016. pii: baw062.' ,'Pelletier D, Wiegers TC, Enayetallah A, Kibbey C, Gosink M, Koza-Taylor P, Mattingly CJ, Lawton M.' ,'2016-05-10' ,false ,false ,'27161010' ,'PUBMED' ,'a' ) ,('Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task.' ,'Database (Oxford). 2016 Mar 19;2016. pii: baw032.' ,'Wei CH, Peng Y, Leaman R, Davis AP, Mattingly CJ, Li J, Wiegers TC, Lu Z.' ,'2016-03-19' ,false ,false ,'26994911' ,'PUBMED' ,'a' ) ,('BioCreative V CDR task corpus: a resource for chemical disease relation extraction.' ,'Database (Oxford). 2016 May 9;2016. pii: baw068' ,'Li J, Sun Y, Johnson RJ, Sciaky D, Wei CH, Leaman R, Davis AP, Mattingly CJ, Wiegers TC, Lu Z.' ,'2016-05-09' ,false ,false ,'27161011' ,'PUBMED' ,'a' ) ,('Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences.' ,'Environ Health Perspect. 2016 Feb 12.' ,'Mattingly CJ, Boyles R, Lawler CP, Haugen AC, Dearry A, Haendel M.' ,'2016-02-12' ,false ,false ,'26871594' ,'PUBMED' ,'a' ) ,('The Comparative Toxicogenomics Database''s 10th year anniversary: update 2015.' ,'Nucleic Acids Res. 2015 Jan;43 (Database issue): D914-20.' ,'Davis AP, Grondin CJ, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, King BL, Wiegers TC, Mattingly CJ.' ,'2015-01-01' ,false ,FALSE ,'25326323 ' ,'PUBMED' ,'a' ) ,('Web services-based text-mining demonstrates broad impacts for interoperability and process simplification.' ,'Database (Oxford). 2014 Jun 10:bau050.' ,'Wiegers TC, Davis AP, Mattingly CJ.' ,'2014-06-10' ,false ,false ,24919658 ,'PUBMED' ,'a' ) ,('BioC interoperability track overview.' ,'Database (Oxford). 2014 Jun 30:bau053.' ,'Comeau DC, Batista-Navarro RT, Dai HJ, Dogan RI, Yepes AJ, Khare R, Lu Z, Marques H, Mattingly CJ, Neves M, Peng Y, Rak R, Rinaldi F, Tsai RT, Verspoor K, Wiegers TC, Wu CH, Wilbur WJ.' ,'2014-06-09' ,false ,false ,24980129 ,'PUBMED' ,'a' ) ,('BioCreative-IV virtual issue.' ,'Database (Oxford). 2014 May 22:bau039.' ,'Arighi CN, Wu CH, Cohen KB, Hirschman L, Krallinger M, Valencia A, Lu Z, Wilbur JW, Wiegers TC' ,'2014-05-22' ,false ,false ,24852177 ,'PUBMED' ,'a' ) ,('A CTD-Pfizer collaboration: manual curation of 88,000 scientific articles text mined for drug-disease and drug-phenotype interactions.' ,'Database (Oxford). 2013 Nov 28:bat080.' ,'Davis AP, Wiegers TC, Roberts PM, King BL, Lay JM, Lennon-Hopkins K, Sciaky D, Johnson R, Keating H, Greene N, Hernandez R, McConnell KJ, Enayetallah AE, Mattingly CJ.' ,'2013-11-28' ,false ,false ,'24288140' ,'PUBMED' ,'a' ) ,('Web services-based text-mining demonstrates broad impacts for interoperability and process simplification.' ,'Proceedings of the Fourth BioCreative Evaluation Workshop 1: 69-84.' ,'Wiegers TC, Davis AP, Mattingly CJ.' ,'2013-10-06' ,false ,false ,NULL ,NULL ,'a' ) ,('BioC: a minimalist approach to interoperability for biomedical text processing.' ,'Database (Oxford). 2013 Sep 18:bat064.' ,'Comeau DC, Islamaj DR, Ciccarese P, Cohen KB, Krallinger M, Leitner F, Lu Z, Peng Y, Rinaldi F, Torii M, Valencia A, Verspoor K, Wiegers TC, Wu CH, Wilbur WJ.' ,'2013-09-18' ,false ,false ,'24048470' ,'PUBMED' ,'a' ) ,('Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the Comparative Toxicogenomics Database.' ,'PLoS One. 2013 Apr 17;8(4):e58201.' ,'Davis AP, Wiegers TC, Johnson RJ, Lay JM, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, Murphy CG, Mattingly CJ.' ,'2013-04-17' ,false ,false ,'23613709' ,'PUBMED' ,'a' ) ,('The Comparative Toxicogenomics Database: update 2013.' ,'Nucleic Acids Res. 2013 Jan 1;41(D1):D1104-14.' ,'Davis AP, Murphy CG, Johnson R, Lay JM, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, King BL, Rosenstein MC, Wiegers TC, Mattingly CJ.' ,'2013-01-01' ,false ,FALSE ,'23093600' ,'PUBMED' ,'a' ) ,('Targeted journal curation as a method to improve data currency at the Comparative Toxicogenomics Database.' ,'Database (Oxford). 2012 Dec 6;2012:bas051.' ,'Davis AP, Johnson RJ, Lennon-Hopkins K, Sciaky D, Rosenstein MC, Wiegers TC, Mattingly CJ.' ,'2012-12-06' ,false ,false ,'23221299' ,'PUBMED' ,'a' ) ,('Collaborative biocuration--text-mining development task for document prioritization for curation.' ,'Database (Oxford). 2012 Nov 22;2012:bas037.' ,'Wiegers TC, Davis AP, Mattingly CJ.' ,'2012-11-22' ,false ,false ,'23180769' ,'PUBMED' ,'a' ) ,('Ranking Transitive Chemical-Disease Inferences Using Local Network Topology in the Comparative Toxicogenomics Database.' ,'PLoS One. 2012;7(11):e46524.' ,'King BL, Davis AP, Rosenstein MC, Wiegers TC, Mattingly CJ.' ,'2012-11-07' ,false ,false ,'23144783' ,'PUBMED' ,'a' ) ,('Text mining for the biocuration workflow.' ,'Database (Oxford). 2012 Apr 18;2012:bas020.' ,'Hirschman L, Burns GA, Krallinger M, Arighi C, Cohen KB, Valencia A, Wu CH, Chatr-Aryamontri A, Dowell KG, Huala E, Lourenço A, Nash R, Veuthey AL, Wiegers T, Winter AG.' ,'2012-04-18' ,false ,false ,'22513129' ,'PUBMED' ,'a' ) ,('MEDIC: a practical disease vocabulary used at the Comparative Toxicogenomics Database.' ,'Database (Oxford). 2012 Mar 20;2012:bar065.' ,'Davis AP, Wiegers TC, Rosenstein MC, Mattingly CJ.' ,'2012-03-20' ,false ,false ,'22434833' ,'PUBMED' ,'a' ) ,('Disease model curation improvements at Mouse Genome Informatics.' ,'Database (Oxford). 2012 Mar 20;2012:bar063.' ,'Bello SM, Richardson JE, Davis AP, Wiegers TC, Mattingly CJ, Dolan ME, Smith CL, Blake JA, Eppig JT.' ,'2012-03-20' ,false ,false ,'22434831' ,'PUBMED' ,'a' ) ,('Providing the Missing Link: the Exposure Science Ontology ExO.' ,'Environ Sci Technol. 2012 Mar 20;46(6):3046-53.' ,'Mattingly CJ, McKone TE, Callahan MA, Blake JA, Cohen Hubal EA.' ,'2012-03-20' ,false ,false ,'22324457' ,'PUBMED' ,'a' ) ,('DiseaseComps: a metric that discovers similar diseases based upon common toxicogenomic profiles at CTD.' ,'Bioinformation. 2011 Oct 14;7(4):154-6.' ,'Davis AP, Rosenstein MC, Wiegers TC, Mattingly CJ.' ,'2011-10-14' ,false ,false ,'22125387' ,'PUBMED' ,'a' ) ,('The curation paradigm and application tool used for manual curation of the scientific literature at the Comparative Toxicogenomics Database.' ,'Database (Oxford). 2011 Sep 20;2011:bar034.' ,'Davis AP, Wiegers TC, Rosenstein MC, Murphy CG, Mattingly CJ.' ,'2011-09-20' ,false ,false ,'21933848' ,'PUBMED' ,'a' ) ,('The Comparative Toxicogenomics Database: update 2011.' ,'Nucleic Acids Res. 2011 Jan;39(Database issue):D1067-72.' ,'Davis AP, King BL, Mockus S, Murphy CG, Saraceni-Richards C, Rosenstein M, Wiegers T, Mattingly CJ.' ,'2011-01-01' ,false ,false ,'20864448' ,'PUBMED' ,'a' ) ,('GeneComps and ChemComps: a new CTD metric to identify genes and chemicals with shared toxicogenomic profiles.' ,'Bioinformation. 2009 Oct 15;4(4):173-4.' ,'Davis AP, Murphy CG, Saraceni-Richards CA, Rosenstein MC, Wiegers TC, Hampton TH, Mattingly CJ.' ,'2009-10-15' ,false ,false ,'20198196' ,'PUBMED' ,'a' ) ,('Text mining and manual curation of chemical-gene-disease networks for the Comparative Toxicogenomics Database (CTD).' ,'BMC Bioinformatics. 2009 Oct 8;10(1):326.' ,'Wiegers TC, Davis AP, Cohen KB, Hirschman L, Mattingly CJ. ' ,'2009-10-08' ,false ,false ,'19814812' ,'PUBMED' ,'a' ) ,('Genetic and environmental pathways to complex diseases.' ,'BMC Syst Biol. 2009 May 5;3(1):46.' ,'Gohlke JM, Thomas R, Zhang Y, Rosenstein MC, Davis AP, Murphy C, Becker KG, Mattingly CJ, Portier CJ.' ,'2009-05-05' ,false ,false ,'19416532' ,'PUBMED' ,'a' ) ,('Perturbation of defense pathways by low-dose arsenic exposure in zebrafish embryos.' ,'Environ Health Perspect. 2009 Jun;117(6):981-7.' ,'Mattingly CJ, Hampton T, Brothers K, Griffin NE, Planchart AJ.' ,'2009-06-01' ,true ,false ,'19590694' ,'PUBMED' ,'a' ) ,('Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks.' ,'Nucleic Acids Res. 2009 Jan;37(Database issue):D786-92.' ,'Davis AP, Murphy CG, Saraceni-Richards CA, Rosenstein MC, Wiegers TC, Mattingly CJ. ' ,'2009-01-01' ,false ,false ,'18782832' ,'PUBMED' ,'a' ) ,('Chemical databases for environmental health and clinical research.' ,'Toxicol Lett. 2009 Apr 10;186(1):62-5.' ,'Mattingly CJ.' ,'2009-04-10' ,false ,false ,'18996453' ,'PUBMED' ,'a' ) ,('The Comparative Toxicogenomics Database facilitates identification and understanding of chemical-gene-disease associations: arsenic as a case study.' ,'BMC Med Genomics. 2008 Oct 9;1(1):48.' ,'Davis AP, Murphy CG, Rosenstein MC, Wiegers TC, Mattingly CJ.' ,'2008-10-09' ,false ,false ,'18845002' ,'PUBMED' ,'a' ) ,('The Comparative Toxicogenomics Database (CTD): a resource for comparative toxicological studies.' ,'J Exp Zoolog A Comp Exp Biol. 2006 Sep 1;305(9):689-92.' ,'Mattingly CJ, Colby GT, Rosenstein MC, Forrest JN, Boyer JL.' ,'2006-09-01' ,false ,false ,'16902965' ,'PUBMED' ,'a' ) ,('The Comparative Toxicogenomics Database: a cross-species resource for building chemical-gene interaction networks.' ,'Toxicol Sci. 2006 Aug;92(2):587-95.' ,'Mattingly CJ, Rosenstein MC, Davis AP, Colby GT, Forrest JN, Boyer JL.' ,'2006-08-01' ,false ,false ,'16675512' ,'PUBMED' ,'a' ) ,('Promoting comparative molecular studies in environmental health research: an overview of the comparative toxicogenomics database (CTD).' ,'Pharmacogenomics J. 2004;4(1):5-8.' ,'Mattingly CJ, Colby GT, Rosenstein MC, Forrest JN, Boyer JL.' ,'2004-01-01' ,false ,false ,'14735110' ,'PUBMED' ,'a' ) ,('The Comparative Toxicogenomics Database (CTD).' ,'Environ Health Perspect. 2003 May;111(6):793-5.' ,'Mattingly CJ, Colby GT, Forrest JN, Boyer JL.' ,'2003-05-01' ,false ,false ,'12760826' ,'PUBMED' ,'a' ) ; -- Online publications INSERT INTO ctd_reference (title ,core_citation_txt ,authors_txt ,pub_dt ,type_cd ,url ) VALUES ('Understanding environment-disease connections: An introduction to the Comparative Toxicogenomics Database (CTD).' ,'NCI-Nature Pathway Interaction Database. doi:10.1038/pid.2011.2 (2011).' ,'Mattingly CJ.' ,'2011-06-01' ,'a' ,'' ) ; -- Posters/presentations INSERT INTO ctd_reference (title ,core_citation_txt ,authors_txt ,pub_dt ,type_cd ,url ,abstract_url ) VALUES ('CTD Tetramers: filling environmental health knowledge gaps with computed molecular mechanisms.' ,'NIH/NLM/NCBI Journal Club. Virtual. May 22, 2024.' ,'Davis AP.' ,'May 22, 2024' ,'p' ,NULL ,NULL ) ,('Comparative Toxicogenomics Database: A tool to investigate the effects of environmental exposures on the etiology of Alzheimer’s disease.' ,'Sapporo Exposome. Sopporo, Japan. May 24-27, 2024.' ,'Mattingly CJ, Wyatt B, Wiegers TC, Wiegers JA, Sciaky D, Barkalow F, Strong M, Abrat S, Davis AP.' ,'May 24, 2024' ,'p' ,NULL ,NULL ) ,('Comparative Toxicogenomics Database (CTD).' ,'NINDS, NIEHS, UDN, and External Experts Environmental Trigger Workshop. Virtual. May 6, 2024.' ,'Mattingly CJ.' ,'May 6, 2024' ,'p' ,NULL ,NULL ) ,('CTD’s 20th anniversary: providing curated data for environmental health, from molecules to populations.' ,'DRKB Program Network Meeting. Rockville, MD, USA. February 28-29, 2024.' ,'Mattingly CJ, Wyatt B, Wiegers TC, Wiegers JA, Sciaky D, Barkalow F, Strong M, Abrat S, Davis AP' ,'February 28, 2024' ,'p' ,NULL ,NULL ) ,('CTD’s 20th anniversary: providing curated data for environmental health, from molecules to populations.' ,'Society of Toxicology 63rd Annual Meeting. Salt Lake City, UT, USA. March 10-14, 2024.' ,'Davis AP, Wiegers TC, Wiegers JA, Sciaky D, Barkalow F, Strong M, Wyatt B, Abrat S, Mattingly CJ.' ,'March 10, 2024' ,'p' ,NULL ,NULL ) ,('Surveying environmental influences for Alzheimer disease using the public Comparative Toxicogenomics Database.' ,'Society of Toxicology 63rd Annual Meeting. Salt Lake City, UT, USA. March 10-14, 2024.' ,'Wyatt B, Davis AP, Wiegers TC, Wiegers JA, Sciaky D, Barkalow F, Strong M, Abrat S, Mattingly CJ.' ,'March 10, 2024' ,'p' ,NULL ,NULL ) ,('CTD integrates curated chemical, gene, phenotype, anatomy, disease, and exposure data to fill knowledge gaps for environmental health: PFAS-childhood asthma as a use case.' ,'USA Exposome Symposium: Children’s Health, Environmental Justice, and the Exposome. Nashville, TN, USA. January 22-24, 2024.' ,'Wyatt B, Davis AP, Wiegers TC, Wiegers JA, Sciaky D, Barkalow F, Strong M, Abrat S, Mattingly CJ.' ,'January 22, 2024' ,'p' ,NULL ,NULL ) ,('Using CTD to fill knowledge gaps for environmental neuroscience.' ,'NIH Environmental Neuroscience Working Group. Virtual. August 29 2023.' ,'Davis AP.' ,'August 29 2023' ,'p' ,NULL ,NULL ) ,('Using CTD to fill knowledge gaps for environmental health.' ,'Jonathan Hamm Lab Seizure Project Meeting. Virtual. December 15, 2023.' ,'Davis AP.' ,'December 15, 2023' ,'p' ,NULL ,NULL ) ,('CTD Tetramers: a new online tool to fill knowledge gaps about environmental health.' ,'Society of Toxicology 62nd Annual Meeting. Nashville, TN, USA. March 19-23, 2023.' ,'Mattingly CJ, Johnson RJ, Sciaky D, Wiegers JA, Wiegers TC, Davis AP. ' ,'March 19, 2023' ,'p' ,NULL ,NULL ) ,('Comparative Toxicogenomics Database: a tool to investigate the effects of environmental exposures on the etiology of Alzheimer’s disease.' ,'Alzheimer’s Association International Conference. Amsterdam, Netherlands. July 16-20, 2023.' ,'Mattingly CJ, Wiegers TC, Wiegers JA, Sciaky D, Johnson RJ, Davis AP. ' ,'July 16, 2023' ,'p' ,NULL ,NULL ) ,('Introduction to CTD: navigating curated data t fill in knowledge gaps for environmental health.' ,'The Jackson Laboratory. Bar Harbor, ME, USA. July 12, 2022' ,'Davis AP.' ,'July 12, 2022' ,'p' ,NULL ,NULL ) ,('CTD: integrating chemical, gene, phenotype, anatomy, disease, and exposure data to fill in knowledge gaps for environmental health' ,'Society of Toxicology 61st Annual Meeting. San Diego, CA, USA. March 28-31, 2022.' ,'Davis AP, Grondin CJ, Johnson RJ, Sciaky D, Wiegers JA, Wiegers TC, Mattingly CJ.' ,'March 28, 2022' ,'p' ,NULL ,NULL ) ,('Analyzing e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database.' ,'Society of Toxicology 61st Annual Meeting. San Diego, CA, USA. March 28-31, 2022.' ,'Davis AP, Grondin CJ, Wiegers JA, Wiegers TC, Sciaky D, Johnson RJ, Mattingly CJ.' ,'March 28, 2022' ,'p' ,NULL ,NULL ) ,('Mechanism of neurological hazards from insecticide exposure in cannabis.' ,'Society of Toxicology 61st Annual Meeting. San Diego, CA, USA. March 28-31, 2022.' ,'Jameson L, Rivera A, Conrow K, Pinkhasova D, Jourachian N, Johnson S, Davis AP, Wiegers T, Sammi S, Mattingly CJ, Afia I, Orser C, Cannon J, Leung M.' ,'March 28, 2022' ,'p' ,NULL ,NULL ) ,('Leveraging CTD data to fill in knowledge gaps for environmental health.' ,'OpenTox Euro. Virtual. September 24, 2021.' ,'Davis AP.' ,'September 24, 2021' ,'p' ,NULL ,NULL ) ,('Comparative Toxicogenomics Database (CTD): linking chemicals, genes, phenotypes, diseases, and exposures to fill in knowledge gaps for environmental health.' ,'Society of Toxicology 60th Annual Meeting. Virtual. March 12-16, 2021.' ,'Mattingly CJ, Grondin CJ, Johnson RJ, Sciaky D, Wiegers JA, Wiegers TC, Davis AP. ' ,'March 12, 2021' ,'p' ,NULL ,NULL ) ,('Regulatory status of pesticide residues I cannabis: implications to medical use in neurological diseases.' ,'Society of Toxicology 60th Annual Meeting. Virtual. March 12-16, 2021.' ,'Pinkhasova S, Jameson L, Conrow K, Simeone M, Davis AP, Wiegers T, Mattingly CJ, Leung M.' ,'March 12, 2021' ,'p' ,NULL ,NULL ) ,('Analyzing the Effects of Emerging Environmental Exposures on Human Health Using the Comparative Toxicogenomics Database.' ,'International Society of Exposure Science. Virtual. August 30-September 2, 2021.' ,'Grondin C, Davis AP, Johnson R, Sciaky D, Wiegers J, Wiegers T, Mattingly CJ. ' ,'August 30, 2021' ,'p' ,NULL ,NULL ) ,('Introduction to CTD.' ,'Arizona State University. Virtual. March 18, 2021.' ,'Davis AP.' ,'March 18, 2021' ,'p' ,NULL ,NULL ) ,('Leveraging CTD to fill in knowledge gaps for environmental health science.' ,'NTP Data Science Seminar Series. Virtual. June 19, 2021.' ,'Davis AP.' ,'June 19, 2021' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database (CTD): a comprehensive view of chemical exposures, mechanisms, and biological effects.' ,'Society of Toxicology 59th Annual Meeting. Virtual. March 15-19, 2020.' ,'Mattingly CJ, Grondin CJ, Johnson RJ, Sciaky D, Wiegers JA, Wiegers TC, Davis AP. ' ,'March 15, 2020' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database (CTD): mechanism meets exposure science illustrated through a bisphenol A-diabetes case study.' ,'Society of Toxicology 58th Annual Meeting. Baltimore, MD, USA. March 11-14, 2019.' ,'Mattingly CJ, Grondin CJ, Johnson RJ, Sciaky D, Wiegers JA, Wiegers TC, Davis AP. ' ,'March 11, 2019' ,'p' ,NULL ,NULL ) ,('Using the Comparative Toxicogenomics Database to further our understanding of environmental exposures on human health.' ,'International Society of Exposure Science. Ottawa, Canada. August 27-29, 2018.' ,'Grondin CJ, Davis AP, Wiegers JA, Wiegers TC, Johnson RJ, Sciaky D, Mattingly CJ. ' ,'August 27, 2018' ,'p' ,NULL ,NULL ) ,('Chemical-induced phenotypes at CTD: informing the pre-disease state and adverse outcome pathways.' ,'Society of Toxicology 57th Annual Meeting. San Antonio, TX, USA. March 11-15, 2018.' ,'Davis AP, Wiegers TC, Johnson RJ, Sciaky D, Grondin CJ, Wiegers JA, Mattingly CJ. ' ,'March 11, 2018' ,'p' ,NULL ,NULL ) ,('Comparative Toxicogenomics Database (CTD): an integrated resource for chemical, gene, phenotype, and exposure data.' ,'Society of Toxicology 57th Annual Meeting. San Antonio, TX, USA. March 11-15, 2018.' ,'Mattingly CJ, Grondin CJ, Johnson RJ, Sciaky D, Wiegers JA, Wiegers TC, Davis AP.' ,'March 11, 2018' ,'p' ,NULL ,NULL ) ,('Facilitating exposure data analysis in the Comparative Toxicogenomics Database: a case study of heavy metals and metabolic syndrome.' ,'Society of Toxicology 57th Annual Meeting. San Antonio, TX, USA. March 11-15, 2018.' ,'Grondin CJ, Davis AP, Wiegers JA, Wiegers TC, Green A, Planchart A, Mattingly CJ.' ,'March 11, 2018' ,'p' ,NULL ,NULL ) ,('Comparative Toxicogenomics Database (CTD): integrating chemical, gene, phenotype, disease, and exposure science data.' ,'Society of Toxicology 56th Annual Meeting. Baltimore, MD, USA. March 12-16, 2017.' ,'Mattingly CJ, Grondin CJ, Johnson RJ, Sciaky D, Wiegers JA, Wiegers TC, Davis AP.' ,'March 12, 2017' ,'p' ,NULL ,NULL ) ,('Chemical-phenotype curation at the Comparative Toxicogenomics Database.' ,'10th International Biocuration Conference. Palo Alto, CA, USA. March 26-29, 2017.' ,'Davis AP, Johnson RJ, Sciaky D, Grondin CJ, Wiegers JA, Wiegers TC, Mattingly CJ.' ,'March 26, 2017' ,'p' ,NULL ,NULL ) ,('Exposure science in CTD: linking chemical stressors to outcomes via an Exposure Ontology.' ,'10th International Biocuration Conference. Palo Alto, CA, USA. March 26-29, 2017.' ,'Grondin CJ, Davis AP, Wiegers J, Wiegers, TC, King BL, Mattingly CJ.' ,'March 26, 2017' ,'p' ,NULL ,NULL ) ,('Curation and integration of exposure science at the Comparative Toxicogenomics Database: an introduction for new users.' ,'Emory Exposome Summer Course. Atlanta, GA, USA. June 13-15, 2016.' ,'Davis AP.' ,'June 13, 2016' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database (CTD): Expanding Exposome and Phenotype Content to Elucidate Chemical-Disease Relationships.' ,'Society of Toxicology Annual Meeting. New Orleans, LA, USA. Mar 13-17, 2016.' ,'Mattingly CJ, Grondin CJ, Johnson R, Sciaky D, King BL, Wiegers JA, Wiegers TC, Davis AP.' ,'2016-03-18' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database (CTD): Advancing understanding of molecular connections among chemicals, genes and diseases.' ,'American Chemical Society National Meeting. San Diego, CA, USA Mar 13-17, 2016.' ,'Grondin CJ, Davis AP, Wiegers TC, Wiegers JA, Mattingly CJ.' ,'2016-03-17' ,'p' ,NULL ,NULL ) ,('Elucidating Correlations between High-Throughput Chemical Screening and Curated Literature.' ,'Society of Toxicology Annual Meeting. New Orleans, LA, USA. Mar 13-17, 2016.' ,'Collier G, Planchart A, Reif DM, Mattingly CJ.' ,'2016-03-16' ,'p' ,NULL ,NULL ) ,('BioCreative V Track 3: Chemical-Disease Relation AND Disease Named Entity Recognition and Normalization.' ,'BioCreative V Challenge Workshop. cicCartuja, Sevilla, Spain. Sept 9-11, 2015.' ,'Wiegers TC, Lu, Z.' ,'2015-09-10' ,'p' ,NULL ,NULL ) ,( 'Exposure Science Data and the Comparative Toxicogenomics Database.' ,'Society of Toxicology Annual Meeting. San Diego, CA, USA. Mar 22-26, 2015.' ,'Grondin CJ, Davis AP, Wiegers JA, Wiegers TC, Mattingly CJ.' ,'2015-03-22' ,'p' ,NULL ,NULL ) ,( 'The Comparative Toxicogenomics Database: Ten Years in the Making.' ,'Society of Toxicology Annual Meeting. San Diego, CA, USA. Mar 22-26, 2015.' ,'Mattingly CJ, Grondin CJ, Lennon-Hopkins K, Saracini-Richards C, Sciaky D, Wiegers JA, McMorran R, King BL, Wiegers TC, Davis AP.' ,'2015-03-22' ,'p' ,NULL ,NULL ) ,( 'Exposure data and the Comparative Toxicogenomics Database (CTD).' ,'Society of Toxicology Annual Meeting. Phoenix, AZ, USA. Mar 23-27, 2014.' ,'Grondin CJ, Davis AP, Mattingly CJ.' ,'2014-03-25' ,'p' ,NULL ,NULL ) ,( 'The Comparative Toxicogenomics Database.' ,'Society of Toxicology Annual Meeting. Phoenix, AZ, USA. Mar 23-27, 2014.' ,'Davis AP, Mattingly CJ, Murphy CG, Lay JM, Lennon-Hopkins K, Sciaky D, Saracini-Richards C, King BL, Rosenstein MC, Wiegers TC.' ,'2014-03-24' ,'p' ,NULL ,NULL ) ,( 'The Comparative Toxicogenomics Database (CTD): Facilitating Mechanistic Understanding of Chemical Effects. ' ,'Society of Toxicology Annual Meeting. Phoenix, AZ, USA. Mar 23-27, 2014.' ,'Mattingly CJ.' ,'2014-03-23' ,'p' ,NULL ,NULL ) ,( 'The Comparative Toxicogenomics Database (CTD): Leveraging Species Diversity to Understand Mechanisms of Toxicity.' ,'Society of Toxicology Annual Meeting. Phoenix, AZ, USA. Mar 23-27, 2014.' ,'Mattingly CJ.' ,'2014-03-23' ,'p' ,NULL ,NULL ) ,( 'BioCreative IV Track 3 CTD: Interoperability and Web Service-based NER' ,'BioCreative IV Conference. Bethesda, MD, USA. Oct 7-9, 2013.' ,'Wiegers TC' ,'2013-03-08' ,'p' ,NULL ,NULL ) ,( 'BioC for NER Web Services-Based High Level Inter-process Communications' ,'BioCreative IV Conference. Bethesda, MD, USA. Oct 7-9, 2013.' ,'Wiegers TC' ,'2013-03-07' ,'p' ,NULL ,NULL ) ,( 'Exposure Data Curation for Integration into the Comparative Toxicogenomics Database (CTD). ' ,'Society of Toxicology Annual Meeting. San Antonio, TX, USA. Mar 10-14, 2013.' ,'Murphy CG, Mattingly CJ, Davis AP' ,'2013-03-10' ,'p' ,NULL ,NULL ) ,( 'The Comparative Toxicogenomics Database.' ,'Society of Toxicology Annual Meeting. San Antonio, TX, USA. Mar 10-14, 2013.' ,'Mattingly CJ, Murphy CG, Johnson R, Lay JM, Lennon-Hopkins K, Saracini-Richards C, Sciaky D, King BL, Rosenstein MC, Wiegers TC, Davis AP.' ,'2013-03-10' ,'p' ,NULL ,NULL ) ,( 'Using CTD to discover and predict molecular connections between environmental chemicals and human health.' ,'Society of Toxicology Annual Meeting. San Francisco. CA, USA. Mar 11-15, 2012.' ,'Murphy CG, Davis AP, Saracini-Richards CA, Rosenstein MC, Wiegers TC, Mattingly CJ.' ,'2012-03-11' ,'p' ,NULL ,NULL ) ,( 'Predicting Mechanisms of Chemical Toxicity using the Comparative Toxicogenomics Database (CTD).' ,'Society of Toxicology Annual Meeting. San Francisco. CA, USA. Mar 11-15, 2012.' ,'Mattingly CJ, Davis AP, Murphy CG, Saraceni Richards CA, Mockus S, Rosenstein MC, Wiegers TC, King B.' ,'2012-03-11' ,'p' ,NULL ,NULL ) ,('Collaborative Biocuration--Text Mining Development Task for Document Prioritization for Curation.' ,'BioCreative Workshop 2012. Georgetown University, Washington, DC, USA. Apr 4-5, 2012.' ,'Wiegers TC, Davis AP, Mattingly CJ.' ,'2012-04-04' ,'p' ,NULL ,NULL ) ,('Waiting for a robust Disease Ontology: a merger of OMIM and MeSH as a practical interim solution.' ,'International Conference on Biomedical Ontology, University at Buffalo, NY, USA. Jul 26-30, 2011.' ,'Bello SM, Davis AP, Wiegers TC, Dolan ME, Smith C, Richardson J, Blake J, Eppig JT, Mattingly CJ.' ,'2011-07-26' ,'p' ,NULL ,NULL ) ,('Oracle to PostgreSQL: CTD''s Path to Database Happiness.' ,'Mouse Genome Informatics Group Meeting. The Jackson Laboratory. Bar Harbor, ME, USA. Jun 8, 2011.' ,'Rosenstein MC, Wiegers TC, McMorran RA.' ,'2011-06-08' ,'p' ,NULL ,NULL ) ,('Environmental chemicals and human health: uncovering the connections with CTD.' ,'Society of Toxicology Annual Meeting. Washington, DC, USA. Mar 7-10, 2011.' ,'Davis AP, Murphy CG, Saraceni-Richards CA, Mockus S, Rosenstein MC, Wiegers TC, King B, Mattingly CJ.' ,'2011-03-07' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database.' ,'Society of Toxicology Annual Meeting. Washington, DC, USA. Mar 7-10, 2011.' ,'Davis AP, Murphy CG, Mattingly CJ.' ,'2011-03-07' ,'p' ,NULL ,NULL ) ,('Using CTD to understand BPA.' ,'NIEHS BPA Grantee Research Update and Coordination Meeting. Research Triangle Park, NC, USA. Sep 21-22, 2010.' ,'Davis AP.' ,'2010-09-21' ,'p' ,NULL ,NULL ) ,('New features at CTD.' ,'The OpenHelix Blog. May 18, 2010.' ,'Davis AP.' ,'2010-05-18' ,'p' ,'http://blog.openhelix.eu/?p=4406' ,NULL ) ,('Use and development of ontologies in the Comparative Toxicogenomics Database (CTD).' ,'Protein Ontology 3rd Annual Meeting. University of Delaware, Newark, DE, USA. Apr 26-27, 2010.' ,'Murphy CG.' ,'2010-04-26' ,'p' ,NULL ,NULL ) ,('CTD: exploring over 1,000,000 chemical-gene-disease interactions.' ,'Society of Toxicology Annual Meeting. Salt Lake City, UT, USA. Mar 7-11, 2010.' ,'Davis AP, Murphy CG, Saraceni-Richards CA, Rosenstein MC, Wiegers TC, Mattingly CJ.' ,'2010-03-07' ,'p' ,NULL ,NULL ) ,('Mapping OMIM to MeSH: a disease hierarchy for CTD.' ,'Mouse Genome Informatics Group Meeting. The Jackson Laboratory. Bar Harbor, ME, USA. Feb 23, 2010.' ,'Davis AP.' ,'2010-02-23' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database (CTD) Text Mining Study.' ,'3rd International Biocuration Conference. Berlin, Germany. Apr 2009.' ,'Wiegers TC, Murphy C, Saraceni-Richards CA, Rosenstein MC, Davis AP, Mattingly CJ.' ,'2009-04-01' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database (CTD): A discovery tool for identifying chemical-gene-disease networks.' ,'Society of Toxicology Annual Meeting. Baltimore, MD, USA. Mar 2009.' ,'Mattingly CJ, Murphy C, Saraceni-Richards CA, Rosenstein MC, Wiegers TC, Davis AP.' ,'2009-03-01' ,'p' ,NULL ,NULL ) ,('Using the Comparative Toxicogenomics Database (CTD) to identify chemical-gene-disease associations.' ,'Society of Experimental Toxicology and Chemistry. Tampa, FL, USA. Nov 2008.' ,'Mattingly CJ, Murphy C, Saraceni-Richards CA, Rosenstein MC, Wiegers TC, Davis AP.' ,'2008-11-01' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database.' ,'Annual environmental health sciences core centers meeting. Philadelphia, PA, USA. Oct 2008.' ,'Mattingly CJ.' ,'2008-10-01' ,'p' ,NULL ,NULL ) ,('Using CTD to discover chemical-gene-disease associations: arsenic as a case study.' ,'Mechanisms of Toxicity, Gordon Research Conference, Bates College, Lewiston, ME, USA. Jul 27-Aug 1, 2008.' ,'Davis AP, Murphy CG, Rosenstein MC, Wiegers TC, Boyer JL, Mattingly CJ.' ,'2008-07-27' ,'p' ,NULL ,NULL ) ,('Using the Comparative Toxicogenomics Database (CTD) to Explore Chemical-Gene-Disease Connections.' ,'University of Maine Graduate School of Biomedical Sciences Symposium. Orono, ME, USA. May 2008.' ,'Mattingly CJ.' ,'2008-05-01' ,'p' ,NULL ,NULL ) ,('Using the Comparative Toxicogenomics Database to identify chemical-gene-disease associations: arsenic as a case study.' ,'Society of Toxicology Annual Meeting. Seattle, WA, USA. Mar 2008.' ,'Mattingly CJ, Davis AP, Rosenstein MC, Wiegers T, Forrest JN, Boyer JL.' ,'2008-03-01' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database (CTD): Promoting understanding of chemical-gene-disease associations.' ,'NERC International Collaboration Initiative: Bioinformatics Workshop. Birmingham, UK. Mar 2008.' ,'Mattingly CJ.' ,'2008-03-01' ,'p' ,NULL ,NULL ) ,('Curating the Comparative Toxicogenomics Database: a knowledge and discovery environment for chemical-gene-disease associations.' ,'Second International Biocuration Meeting. San Jose, CA, USA. Oct 2007.' ,'Davis AP, Murphy C, Rosenstein MC, Wiegers T, Forrest JN, Boyer JL, Mattingly CJ.' ,'2007-10-01' ,'p' ,'/documents/davisetal_biocur2007.ppt' ,'/documents/davisetal_biocur2007_abstract.pdf' ) ,('The Comparative Toxicogenomics Database: Promoting Understanding About the Mechanisms of Chemical Actions. Toxicology Division of the American Society for Pharmacology and Experimental Therapeutics (ASPET).' ,'"Toxicogenomics Approaches for Evaluating Drug and Chemical Toxicity" Symposium at the Experimental Biology Annual Meeting. Washington, DC, USA. Apr 2007.' ,'Mattingly CJ.' ,'2007-04-01' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database: connecting chemicals, genes, and diseases.' ,'Society of Toxicology Annual Meeting. Charlotte, NC, USA. Mar 2007.' ,'Davis AP, Mattingly CJ, Rosenstein MC, Wiegers T, Forrest JN, Boyer JL.' ,'2007-03-01' ,'p' ,'/documents/davisetal_sot2007_poster.pdf' ,'/documents/davisetal_sot2007_abstract.pdf' ) ,('The Comparative Toxicogenomics Database: A Public Resource for Chemical-Gene and Chemical-Protein Interactions.' ,'EPA Science Forum 2006, U.S Environmental Protection Agency, Washington, DC, USA. May 2006.' ,'Davis AP, Mattingly CJ, Rosenstein MC, Forrest JN, Boyer JL.' ,'2006-05-01' ,'p' ,NULL ,NULL ) ,('Comparative Toxicogenomics Database (CTD): Promoting Understanding of Chemical-Gene Interactions.' ,'Keystone: the Molecular and Integrative Basis for Toxic Responses. Victoria, BC. May 2006.' ,'Mattingly CJ, Rosenstein MC, Davis AP, Colby GC, Forrest JN, Boyer JL.' ,'2006-05-01' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database (CTD).' ,'Society of Toxicology Annual Meeting. San Diego, CA, USA. Mar 2006.' ,'Mattingly CJ, Rosenstein MC, Davis AP, Forrest JN, Boyer JL.' ,'2006-03-01' ,'p' ,NULL ,NULL ) ,('Data Integration in the Comparative Toxicogenomics Database (CTD).' ,'Annual meeting of the International Society for Computational Biology. Detroit, MI, USA. Jun 2005.' ,'Colby GT, Mattingly CJ, Rosenstein, MC, Forrest JN, Boyer JL.' ,'2005-06-01' ,'p' ,NULL ,NULL ) ,('Cross-Species Comparative Approaches to Understanding Chemical-Gene Interactions.' ,'15th International Conference of Comparative Endocrinology. Boston, MA, USA. May 2005.' ,'Mattingly CJ.' ,'2005-05-01' ,'p' ,NULL ,NULL ) ,('Comparative Approaches to Understanding Gene-Chemical Interactions.' ,'Northland Chapter of the Society of Toxicology Meeting. Minneapolis, MN, USA. Apr 2005.' ,'Mattingly CJ.' ,'2005-04-01' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database (CTD).' ,'Society of Toxicology Annual Meeting. New Orleans, LA, USA. Mar 2005.' ,'Mattingly CJ, Colby GT, Rosenstein MC, Forrest JN, Boyer JL.' ,'2005-03-01' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database (CTD): Comparative Molecular Approaches to Environmental Health Research.' ,'American Chemical Society National Meeting. Philadelphia, PA, USA. Aug 2004.' ,'Mattingly CJ.' ,'2004-08-01' ,'p' ,NULL ,NULL ) ,('Comparative Approaches to Understanding Mechanisms of Toxicity: CTD.' ,'2004 World Congress on In Vitro Biology. San Francisco, CA, USA. May 2004.' ,'Mattingly CJ.' ,'2004-05-01' ,'p' ,NULL ,NULL ) ,('The Comparative Toxicogenomics Database (CTD).' ,'Society of Toxicology Annual Meeting. Salt Lake City, UT, USA. Mar 2004.' ,'Mattingly CJ, Colby GT, Rosenstein MC, Forrest JN, Boyer JL.' ,'2004-03-01' ,'p' ,NULL ,NULL ) ; -- COMMIT; VACUUM FULL ANALYZE ctd_reference;
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