ZEMM PG Report-
Global information
- Generated on Thu Apr 30 06:07:20 2026
- Log file: /var/log/postgresql/postgresql-2026-03-25_000000.csv, ..., /var/log/postgresql/postgresql-2026-04-30_000000.csv
- Parsed 63,455 log entries in 7m19s
- Log start from 2026-04-30 00:00:01 to 2026-04-30 06:05:03
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Overview
Global Stats
- 20 Number of unique normalized queries
- 6,307 Number of queries
- 8h31m8s Total query duration
- 2026-04-30 00:00:01 First query
- 2026-04-30 06:05:01 Last query
- 18 queries/s at 2026-04-30 04:16:01 Query peak
- 8h31m8s Total query duration
- 0ms Prepare/parse total duration
- 0ms Bind total duration
- 8h31m8s Execute total duration
- 0 Number of events
- 0 Number of unique normalized events
- 0 Max number of times the same event was reported
- 0 Number of cancellation
- 2 Total number of automatic vacuums
- 3 Total number of automatic analyzes
- 396 Number temporary file
- 87.88 MiB Max size of temporary file
- 64.68 MiB Average size of temporary file
- 5,430 Total number of sessions
- 7 sessions at 2026-04-30 02:43:25 Session peak
- 27m33s Total duration of sessions
- 304ms Average duration of sessions
- 1 Average queries per session
- 5s647ms Average queries duration per session
- 0ms Average idle time per session
- 5,430 Total number of connections
- 29 connections/s at 2026-04-30 00:24:48 Connection peak
- 2 Total number of databases
SQL Traffic
Key values
- 18 queries/s Query Peak
- 2026-04-30 04:16:01 Date
SELECT Traffic
Key values
- 1 queries/s Query Peak
- 2026-04-30 01:31:51 Date
INSERT/UPDATE/DELETE Traffic
Key values
- 18 queries/s Query Peak
- 2026-04-30 04:16:01 Date
Queries duration
Key values
- 8h31m8s 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) Apr 30 00 1,035 0ms 5s834ms 4s626ms 1m34s 1m39s 1m39s 01 1,039 511ms 5s311ms 4s901ms 1m31s 1m32s 1m35s 02 1,033 529ms 5s117ms 4s873ms 1m28s 1m30s 1m31s 03 1,033 502ms 5s300ms 5s1ms 1m30s 1m32s 1m34s 04 1,032 4s602ms 5s424ms 4s915ms 1m32s 1m32s 1m36s 05 1,032 4s602ms 5s145ms 4s842ms 1m27s 1m29s 1m32s 06 103 4s873ms 5s41ms 5s11ms 1m30s 1m30s 1m30s Day Hour SELECT COPY TO Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Apr 30 00 4 0 538ms 0ms 0ms 517ms 01 6 0 529ms 0ms 511ms 538ms 02 1 0 529ms 0ms 0ms 0ms 03 2 0 517ms 0ms 0ms 502ms 04 0 0 0ms 0ms 0ms 0ms 05 0 0 0ms 0ms 0ms 0ms 06 0 0 0ms 0ms 0ms 0ms Day Hour INSERT UPDATE DELETE COPY FROM Average Duration Latency Percentile(90) Latency Percentile(95) Latency Percentile(99) Apr 30 00 0 0 0 0 0ms 0ms 0ms 0ms 01 0 1 0 0 882ms 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 Day Hour Prepare Bind Bind/Prepare Percentage of prepare Apr 30 00 0 15 15.00 0.00% 01 0 18 18.00 0.00% 02 0 13 13.00 0.00% 03 0 13 13.00 0.00% 04 0 12 12.00 0.00% 05 0 12 12.00 0.00% 06 0 1 1.00 0.00% Day Hour Count Average / Second Apr 30 00 873 0.24/s 01 906 0.25/s 02 903 0.25/s 03 876 0.24/s 04 894 0.25/s 05 891 0.25/s 06 87 0.02/s Day Hour Count Average Duration Average idle time Apr 30 00 873 327ms 0ms 01 906 324ms 0ms 02 903 304ms 0ms 03 876 292ms 0ms 04 894 291ms 0ms 05 891 290ms 0ms 06 87 277ms 0ms -
Connections
Established Connections
Key values
- 29 connections Connection Peak
- 2026-04-30 00:24:48 Date
Connections per database
Key values
- zemm_monitoring Main Database
- 5,430 connections Total
Connections per user
Key values
- labanimal Main User
- 5,430 connections Total
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Sessions
Simultaneous sessions
Key values
- 7 sessions Session Peak
- 2026-04-30 02:43:25 Date
Histogram of session times
Key values
- 4,728 0-500ms duration
Sessions per database
Key values
- zemm_monitoring Main Database
- 5,430 sessions Total
Sessions per user
Key values
- labanimal Main User
- 5,430 sessions Total
Sessions per host
Key values
- ::1 Main Host
- 5,430 sessions Total
Sessions per application
Key values
- Main Application
- 5,430 sessions Total
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Checkpoints / Restartpoints
Checkpoints Buffers
Key values
- 18,942 buffers Checkpoint Peak
- 2026-04-30 01:36:48 Date
- 269.323 seconds Highest write time
- 0.012 seconds Sync time
Checkpoints Wal files
Key values
- 6 files Wal files usage Peak
- 2026-04-30 01:36:48 Date
Checkpoints distance
Key values
- 178.06 Mo Distance Peak
- 2026-04-30 01:36:48 Date
Checkpoints Activity
↑ Back to the top of the Checkpoint Activity tableDay Hour Written buffers Write time Sync time Total time Apr 30 00 3,615 362.047s 0.085s 362.186s 01 21,754 551.242s 0.09s 551.392s 02 3,792 380.523s 0.086s 380.666s 03 3,501 352.037s 0.085s 352.175s 04 3,172 318.468s 0.083s 318.604s 05 3,971 397.957s 0.085s 398.094s 06 328 32.778s 0.008s 32.789s Day Hour Added Removed Recycled Synced files Longest sync Average sync Apr 30 00 0 0 1 438 0.001s 0.012s 01 0 0 6 457 0.001s 0.012s 02 0 0 1 430 0.002s 0.012s 03 0 0 1 441 0.001s 0.012s 04 0 0 1 430 0.002s 0.012s 05 0 0 1 431 0.001s 0.012s 06 0 0 0 42 0.001s 0.001s Day Hour Count Avg time (sec) Apr 30 00 0 0s 01 0 0s 02 0 0s 03 0 0s 04 0 0s 05 0 0s 06 0 0s Day Hour Mean distance Mean estimate Apr 30 00 1,400.17 kB 1,869.25 kB 01 8,698.42 kB 36,476.67 kB 02 1,397.25 kB 29,865.08 kB 03 1,321.67 kB 9,418.42 kB 04 1,224.67 kB 3,558.67 kB 05 1,433.92 kB 2,069.33 kB 06 1,419.00 kB 1,837.00 kB -
Temporary Files
Size of temporary files
Key values
- 326.57 MiB Temp Files size Peak
- 2026-04-30 06:04:09 Date
Number of temporary files
Key values
- 5 per second Temp Files Peak
- 2026-04-30 02:28:11 Date
Temporary Files Activity
↑ Back to the top of the Temporary Files Activity tableDay Hour Count Total size Average size Apr 30 00 66 4.14 GiB 64.26 MiB 01 72 4.52 GiB 64.31 MiB 02 72 4.53 GiB 64.37 MiB 03 61 3.86 GiB 64.74 MiB 04 60 3.82 GiB 65.25 MiB 05 60 3.83 GiB 65.29 MiB 06 5 326.57 MiB 65.31 MiB Queries generating the most temporary files (N)
Rank Count Total size Min size Max size Avg size Query 1 284 17.59 GiB 45.53 MiB 82.59 MiB 63.43 MiB with start_snap as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at <= ? order by tenant_key, fingerprint, collected_at desc ), fallback_start as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at between ? and ? order by tenant_key, fingerprint, collected_at asc ), end_snap as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at between ? and ? order by tenant_key, fingerprint, collected_at desc ), deltas as ( select e.tenant_key, e.fingerprint, e.query, e.collected_at as last_seen, greatest (coalesce(e.total_time_ms, ?) - coalesce(s.total_time_ms, fs.total_time_ms, ?), ?) as total_time_ms, greatest (coalesce(e.calls, ?) - coalesce(s.calls, fs.calls, ?), ?) as calls, greatest (coalesce(e.rows_returned, ?) - coalesce(s.rows_returned, fs.rows_returned, ?), ?) as rows_returned from end_snap e left join start_snap s on s.tenant_key = e.tenant_key and s.fingerprint = e.fingerprint left join fallback_start fs on fs.tenant_key = e.tenant_key and fs.fingerprint = e.fingerprint and s.tenant_key is null ) select fingerprint, max(query) as query, max(last_seen) as last_seen, sum(total_time_ms) as total_time_ms, sum(calls) as calls, sum(rows_returned) as rows_returned, case when sum(calls) > ? then sum(total_time_ms) / sum(calls) else ? end as mean_time_ms, array_agg(distinct tenant_key order by tenant_key) as tenant_keys from deltas where total_time_ms > ? or calls > ? group by fingerprint order by total_time_ms desc, calls desc limit ? offset ?;-
WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 12:24:48+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 12:24:48+02' AND '2026-04-30 00:24:48+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 12:24:48+02' AND '2026-04-30 00:24:48+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 00:24:54 Duration: 5s834ms Database: zemm_monitoring User: labanimal Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 16:00:37+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 16:00:37+02' AND '2026-04-30 04:00:37+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 16:00:37+02' AND '2026-04-30 04:00:37+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 04:00:42 Duration: 5s424ms Database: zemm_monitoring User: labanimal Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 13:11:12+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 13:11:12+02' AND '2026-04-30 01:11:12+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 13:11:12+02' AND '2026-04-30 01:11:12+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 01:11:18 Duration: 5s311ms Database: zemm_monitoring User: labanimal Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
Queries generating the largest temporary files
Rank Size Query 1 82.59 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 02:07:42 - Queryid: 2106361 ]
2 80.56 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 02:53:49 - Queryid: 2530107 ]
3 79.34 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 00:40:21 - Queryid: 1303554 ]
4 78.38 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 02:12:52 - Queryid: 2153861 ]
5 78.22 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 00:35:12 - Queryid: 1256204 ]
6 76.84 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 02:23:01 - Queryid: 2247068 ]
7 76.62 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 01:42:13 - Queryid: 1872153 ]
8 76.55 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 01:57:24 - Queryid: 2011425 ]
9 76.54 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 01:06:08 - Queryid: 1540322 ]
10 76.52 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 01:11:17 - Queryid: 1587741 ]
11 75.94 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 01:26:45 - Queryid: 1730113 ]
12 75.91 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 01:06:08 - Queryid: 1540322 ]
13 75.59 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 03:09:17 - Queryid: 2672120 ]
14 75.30 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 03:45:14 - Queryid: 3002900 ]
15 75.30 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 02:02:33 - Queryid: 2059042 ]
16 74.89 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 02:02:33 - Queryid: 2059042 ]
17 74.36 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 00:55:49 - Queryid: 1445680 ]
18 73.70 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 06:04:09 - Queryid: 88525 ]
19 73.70 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 04:16:01 - Queryid: 3286011 ]
20 73.27 MiB WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($1) AND collected_at <= $2 ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($3) AND collected_at BETWEEN $4 AND $5 ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ($6) AND collected_at BETWEEN $7 AND $8 ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT $9 OFFSET $10;[ Date: 2026-04-30 00:45:31 - Queryid: 1350799 ]
-
Vacuums
Vacuums / Analyzes Distribution
Key values
- 0.61 sec Highest CPU-cost vacuum
Table public.tasks
Database zemm_produktiv_8 - 2026-04-30 01:30:06 Date
- 0 sec Highest CPU-cost analyze
Table
Database zemm_produktiv_8 - Date
Average Autovacuum Duration
Key values
- 0.61 sec Highest CPU-cost vacuum
Table public.tasks
Database zemm_produktiv_8 - 2026-04-30 01:30:06 Date
Analyzes per table
Key values
- public.tasks (1) Main table analyzed (database zemm_produktiv_8)
- 3 analyzes Total
Vacuums per table
Key values
- pg_toast.pg_toast_67431 (1) Main table vacuumed on database zemm_monitoring
- 2 vacuums Total
Index Buffer usage Skipped WAL usage Frozen Table Vacuums scans hits misses dirtied pins frozen records full page bytes pages tuples zemm_monitoring.pg_toast.pg_toast_67431 1 0 0 0 0 0 0 997 334 759,910 330 1,980 zemm_produktiv_8.public.tasks 1 1 0 0 0 0 0 46,672 46 3,416,917 1 1 Total 2 1 0 0 0 0 0 47,669 380 4,176,827 331 1,981 Vacuum throughput per table
Key values
- public.tasks (0.61) Max CPU elapsed for vacuum on database zemm_produktiv_8
- public.tasks (1.072 ms) Max I/O read time for vacuum on database zemm_produktiv_8
- pg_toast.pg_toast_67431 (0.253 ms) Max I/O write time for vacuum on database zemm_produktiv_8
Tuples removed per table
Key values
- public.tasks (54140) Main table with removed tuples on database zemm_produktiv_8
- 54140 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 Apr 30 00 0 0 01 1 1 02 0 0 03 0 1 04 0 0 05 1 0 06 0 1 - 0.61 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
- 13 Total read queries
- 6,294 Total write queries
Queries by database
Key values
- zemm_monitoring Main database
- 6,306 Requests
- 8h31m7s (zemm_monitoring)
- Main time consuming database
Queries by user
Key values
- labanimal Main user
- 855,458 Requests
User Request type Count Duration deploy Total 241 27m39s cte 4 1m18s ddl 134 11m50s others 88 5m56s select 9 6m3s labanimal Total 855,458 26d10h19m33s copy from 28 3m52s copy to 194 9m13s cte 5,484 6h15m46s ddl 845,415 26d2h33m3s others 668 12m56s select 3,587 1h3m11s tcl 11 9s269ms update 39 42s115ms postgres Total 205 4m43s copy to 205 4m43s Duration by user
Key values
- 26d10h19m33s (labanimal) Main time consuming user
User Request type Count Duration deploy Total 241 27m39s cte 4 1m18s ddl 134 11m50s others 88 5m56s select 9 6m3s labanimal Total 855,458 26d10h19m33s copy from 28 3m52s copy to 194 9m13s cte 5,484 6h15m46s ddl 845,415 26d2h33m3s others 668 12m56s select 3,587 1h3m11s tcl 11 9s269ms update 39 42s115ms postgres Total 205 4m43s copy to 205 4m43s Queries by host
Key values
- unknown Main host
- 855,416 Requests
- 26d10h15m48s (unknown)
- Main time consuming host
Host Request type Count Duration 127.0.0.1 Total 2 6s311ms ddl 2 6s311ms 81.169.238.237 Total 40 3m38s select 1 2m56s update 39 42s115ms [local] Total 446 32m22s copy to 205 4m43s cte 4 1m18s ddl 134 11m50s others 88 5m56s select 9 6m3s unknown Total 855,416 26d10h15m48s copy from 28 3m52s copy to 194 9m13s cte 5,484 6h15m46s ddl 845,413 26d2h32m57s others 668 12m56s select 3,586 1h14s tcl 11 9s269ms Queries by application
Key values
- unknown Main application
- 6,306 Requests
- 8h31m7s (unknown)
- Main time consuming application
Number of cancelled queries
Key values
- 0 per second Cancelled query Peak
- 2026-04-30 05:04:01 Date
Number of cancelled queries (5 minutes period)
NO DATASET
-
Top Queries
Histogram of query times
Key values
- 71 1000-10000ms duration
Slowest individual queries
Rank Duration Query 1 5s834ms WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 12:24:48+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 12:24:48+02' AND '2026-04-30 00:24:48+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 12:24:48+02' AND '2026-04-30 00:24:48+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';[ Date: 2026-04-30 00:24:54 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
2 5s834ms CREATE SCHEMA IF NOT EXISTS observability;[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
3 5s834ms CREATE TABLE IF NOT EXISTS observability.metrics_timeseries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, metric_name text NOT NULL, bucket_start timestamptz NOT NULL, bucket_width_seconds integer NOT NULL DEFAULT 60, sum_value double precision NOT NULL DEFAULT 0, count_value bigint NOT NULL DEFAULT 0, histogram jsonb, created_at timestamptz NOT NULL DEFAULT NOW(), updated_at timestamptz NOT NULL DEFAULT NOW(), UNIQUE (tenant_key, metric_name, bucket_start, bucket_width_seconds) );[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
4 5s834ms CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_bucket ON observability.metrics_timeseries (bucket_start);[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
5 5s834ms CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_metric ON observability.metrics_timeseries (metric_name);[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
6 5s834ms CREATE TABLE IF NOT EXISTS observability.app_events ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, event_type text NOT NULL, severity text NOT NULL, message text NOT NULL, payload jsonb, occurred_at timestamptz NOT NULL DEFAULT NOW(), created_at timestamptz NOT NULL DEFAULT NOW() );[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
7 5s834ms CREATE INDEX IF NOT EXISTS idx_app_events_tenant ON observability.app_events (tenant_key, occurred_at DESC);[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
8 5s834ms CREATE INDEX IF NOT EXISTS idx_app_events_type ON observability.app_events (event_type);[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
9 5s834ms CREATE TABLE IF NOT EXISTS observability.db_top_queries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz NOT NULL DEFAULT NOW() );[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
10 5s834ms CREATE INDEX IF NOT EXISTS idx_db_top_queries_tenant ON observability.db_top_queries (tenant_key, collected_at DESC);[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
11 5s834ms CREATE TABLE IF NOT EXISTS observability.nginx_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
12 5s834ms CREATE TABLE IF NOT EXISTS observability.phpfpm_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
13 5s834ms CREATE TABLE IF NOT EXISTS observability.system_metrics ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
14 5s834ms CREATE TABLE IF NOT EXISTS observability.uptime_checks ( id bigserial PRIMARY KEY, endpoint text NOT NULL, status text NOT NULL, latency_ms double precision, checked_at timestamptz NOT NULL DEFAULT NOW() );[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
15 5s834ms ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS label text;[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
16 5s834ms ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS payload jsonb;[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
17 5s834ms CREATE INDEX IF NOT EXISTS idx_uptime_checks_endpoint ON observability.uptime_checks (endpoint, checked_at DESC);[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
18 5s834ms CREATE INDEX IF NOT EXISTS idx_uptime_checks_key ON observability.uptime_checks (check_key, checked_at DESC);[ Date: 2026-04-30 00:25:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
19 5s834ms CREATE SCHEMA IF NOT EXISTS observability;[ Date: 2026-04-30 00:26:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
20 5s834ms CREATE TABLE IF NOT EXISTS observability.metrics_timeseries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, metric_name text NOT NULL, bucket_start timestamptz NOT NULL, bucket_width_seconds integer NOT NULL DEFAULT 60, sum_value double precision NOT NULL DEFAULT 0, count_value bigint NOT NULL DEFAULT 0, histogram jsonb, created_at timestamptz NOT NULL DEFAULT NOW(), updated_at timestamptz NOT NULL DEFAULT NOW(), UNIQUE (tenant_key, metric_name, bucket_start, bucket_width_seconds) );[ Date: 2026-04-30 00:26:01 - Database: zemm_monitoring - User: labanimal - Bind query: yes ]
Time consuming queries (N)
Rank Total duration Times executed Min duration Max duration Avg duration Query 1 29m42s 366 517ms 5s834ms 4s870ms create index if not exists idx_metrics_timeseries_metric on observability.metrics_timeseries (metric_name);Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
-
CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_metric ON observability.metrics_timeseries (metric_name);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_metric ON observability.metrics_timeseries (metric_name);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_metric ON observability.metrics_timeseries (metric_name);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
2 29m42s 366 517ms 5s834ms 4s870ms create index if not exists idx_metrics_timeseries_bucket on observability.metrics_timeseries (bucket_start);Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
-
CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_bucket ON observability.metrics_timeseries (bucket_start);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_bucket ON observability.metrics_timeseries (bucket_start);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_bucket ON observability.metrics_timeseries (bucket_start);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
3 29m42s 366 517ms 5s834ms 4s870ms create schema if not exists observability;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
-
CREATE SCHEMA IF NOT EXISTS observability;
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE SCHEMA IF NOT EXISTS observability;
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE SCHEMA IF NOT EXISTS observability;
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
4 29m42s 366 517ms 5s834ms 4s870ms create table if not exists observability.uptime_checks ( id bigserial primary key, endpoint text not null, status text not null, latency_ms double precision, checked_at timestamptz not null default now() );Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.uptime_checks ( id bigserial PRIMARY KEY, endpoint text NOT NULL, status text NOT NULL, latency_ms double precision, checked_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE TABLE IF NOT EXISTS observability.uptime_checks ( id bigserial PRIMARY KEY, endpoint text NOT NULL, status text NOT NULL, latency_ms double precision, checked_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE TABLE IF NOT EXISTS observability.uptime_checks ( id bigserial PRIMARY KEY, endpoint text NOT NULL, status text NOT NULL, latency_ms double precision, checked_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
5 29m42s 366 517ms 5s834ms 4s870ms create index if not exists idx_uptime_checks_endpoint on observability.uptime_checks (endpoint, checked_at desc);Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_endpoint ON observability.uptime_checks (endpoint, checked_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_endpoint ON observability.uptime_checks (endpoint, checked_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_endpoint ON observability.uptime_checks (endpoint, checked_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
6 29m42s 366 517ms 5s834ms 4s870ms create table if not exists observability.system_metrics ( id bigserial primary key, payload jsonb not null, collected_at timestamptz not null default now() );Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.system_metrics ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE TABLE IF NOT EXISTS observability.system_metrics ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE TABLE IF NOT EXISTS observability.system_metrics ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
7 29m42s 366 517ms 5s834ms 4s870ms create index if not exists idx_uptime_checks_key on observability.uptime_checks (check_key, checked_at desc);Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_key ON observability.uptime_checks (check_key, checked_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_key ON observability.uptime_checks (check_key, checked_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE INDEX IF NOT EXISTS idx_uptime_checks_key ON observability.uptime_checks (check_key, checked_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
8 29m42s 366 517ms 5s834ms 4s870ms create index if not exists idx_db_top_queries_tenant on observability.db_top_queries (tenant_key, collected_at desc);Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_db_top_queries_tenant ON observability.db_top_queries (tenant_key, collected_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_db_top_queries_tenant ON observability.db_top_queries (tenant_key, collected_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE INDEX IF NOT EXISTS idx_db_top_queries_tenant ON observability.db_top_queries (tenant_key, collected_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
9 29m42s 366 517ms 5s834ms 4s870ms alter table observability.uptime_checks add column if not exists label text;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS label text;
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS label text;
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS label text;
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
10 29m42s 366 517ms 5s834ms 4s870ms create table if not exists observability.nginx_counters ( id bigserial primary key, payload jsonb not null, collected_at timestamptz not null default now() );Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.nginx_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.nginx_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.nginx_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
11 29m42s 366 517ms 5s834ms 4s870ms create table if not exists observability.db_top_queries ( id bigserial primary key, tenant_key text not null, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz not null default now() );Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.db_top_queries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.db_top_queries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.db_top_queries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
12 29m42s 366 517ms 5s834ms 4s870ms create table if not exists observability.app_events ( id bigserial primary key, tenant_key text not null, event_type text not null, severity text not null, message text not null, payload jsonb, occurred_at timestamptz not null default now(), created_at timestamptz not null default now() );Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.app_events ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, event_type text NOT NULL, severity text NOT NULL, message text NOT NULL, payload jsonb, occurred_at timestamptz NOT NULL DEFAULT NOW(), created_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.app_events ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, event_type text NOT NULL, severity text NOT NULL, message text NOT NULL, payload jsonb, occurred_at timestamptz NOT NULL DEFAULT NOW(), created_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.app_events ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, event_type text NOT NULL, severity text NOT NULL, message text NOT NULL, payload jsonb, occurred_at timestamptz NOT NULL DEFAULT NOW(), created_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
13 29m42s 366 517ms 5s834ms 4s870ms create index if not exists idx_app_events_type on observability.app_events (event_type);Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_app_events_type ON observability.app_events (event_type);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_app_events_type ON observability.app_events (event_type);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_app_events_type ON observability.app_events (event_type);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
14 29m42s 366 517ms 5s834ms 4s870ms create table if not exists observability.metrics_timeseries ( id bigserial primary key, tenant_key text not null, metric_name text not null, bucket_start timestamptz not null, bucket_width_seconds integer not null default ?, sum_value double precision not null default ?, count_value bigint not null default ?, histogram jsonb, created_at timestamptz not null default now(), updated_at timestamptz not null default now(), unique (tenant_key, metric_name, bucket_start, bucket_width_seconds) );Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.metrics_timeseries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, metric_name text NOT NULL, bucket_start timestamptz NOT NULL, bucket_width_seconds integer NOT NULL DEFAULT 60, sum_value double precision NOT NULL DEFAULT 0, count_value bigint NOT NULL DEFAULT 0, histogram jsonb, created_at timestamptz NOT NULL DEFAULT NOW(), updated_at timestamptz NOT NULL DEFAULT NOW(), UNIQUE (tenant_key, metric_name, bucket_start, bucket_width_seconds) );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.metrics_timeseries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, metric_name text NOT NULL, bucket_start timestamptz NOT NULL, bucket_width_seconds integer NOT NULL DEFAULT 60, sum_value double precision NOT NULL DEFAULT 0, count_value bigint NOT NULL DEFAULT 0, histogram jsonb, created_at timestamptz NOT NULL DEFAULT NOW(), updated_at timestamptz NOT NULL DEFAULT NOW(), UNIQUE (tenant_key, metric_name, bucket_start, bucket_width_seconds) );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.metrics_timeseries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, metric_name text NOT NULL, bucket_start timestamptz NOT NULL, bucket_width_seconds integer NOT NULL DEFAULT 60, sum_value double precision NOT NULL DEFAULT 0, count_value bigint NOT NULL DEFAULT 0, histogram jsonb, created_at timestamptz NOT NULL DEFAULT NOW(), updated_at timestamptz NOT NULL DEFAULT NOW(), UNIQUE (tenant_key, metric_name, bucket_start, bucket_width_seconds) );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
15 29m42s 366 517ms 5s834ms 4s870ms create table if not exists observability.phpfpm_counters ( id bigserial primary key, payload jsonb not null, collected_at timestamptz not null default now() );Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.phpfpm_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.phpfpm_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.phpfpm_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
16 29m42s 366 517ms 5s834ms 4s870ms create index if not exists idx_app_events_tenant on observability.app_events (tenant_key, occurred_at desc);Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_app_events_tenant ON observability.app_events (tenant_key, occurred_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_app_events_tenant ON observability.app_events (tenant_key, occurred_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_app_events_tenant ON observability.app_events (tenant_key, occurred_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
17 29m42s 366 517ms 5s834ms 4s870ms alter table observability.uptime_checks add column if not exists payload jsonb;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS payload jsonb;
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS payload jsonb;
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS payload jsonb;
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
18 5m54s 71 4s602ms 5s834ms 4s986ms with start_snap as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at <= ? order by tenant_key, fingerprint, collected_at desc ), fallback_start as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at between ? and ? order by tenant_key, fingerprint, collected_at asc ), end_snap as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at between ? and ? order by tenant_key, fingerprint, collected_at desc ), deltas as ( select e.tenant_key, e.fingerprint, e.query, e.collected_at as last_seen, greatest (coalesce(e.total_time_ms, ?) - coalesce(s.total_time_ms, fs.total_time_ms, ?), ?) as total_time_ms, greatest (coalesce(e.calls, ?) - coalesce(s.calls, fs.calls, ?), ?) as calls, greatest (coalesce(e.rows_returned, ?) - coalesce(s.rows_returned, fs.rows_returned, ?), ?) as rows_returned from end_snap e left join start_snap s on s.tenant_key = e.tenant_key and s.fingerprint = e.fingerprint left join fallback_start fs on fs.tenant_key = e.tenant_key and fs.fingerprint = e.fingerprint and s.tenant_key is null ) select fingerprint, max(query) as query, max(last_seen) as last_seen, sum(total_time_ms) as total_time_ms, sum(calls) as calls, sum(rows_returned) as rows_returned, case when sum(calls) > ? then sum(total_time_ms) / sum(calls) else ? end as mean_time_ms, array_agg(distinct tenant_key order by tenant_key) as tenant_keys from deltas where total_time_ms > ? or calls > ? group by fingerprint order by total_time_ms desc, calls desc limit ? offset ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Apr 30 01 11 56s533ms 5s139ms 02 12 1m 5s72ms 03 12 59s288ms 4s940ms 04 11 55s349ms 5s31ms 05 12 58s724ms 4s893ms 06 12 58s430ms 4s869ms 07 1 4s873ms 4s873ms [ User: labanimal - Total duration: 5m54s - Times executed: 71 ]
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WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 12:24:48+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 12:24:48+02' AND '2026-04-30 00:24:48+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 12:24:48+02' AND '2026-04-30 00:24:48+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 00:24:54 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 16:00:37+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 16:00:37+02' AND '2026-04-30 04:00:37+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 16:00:37+02' AND '2026-04-30 04:00:37+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 04:00:42 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 13:11:12+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 13:11:12+02' AND '2026-04-30 01:11:12+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 13:11:12+02' AND '2026-04-30 01:11:12+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 01:11:18 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
19 6s893ms 13 502ms 622ms 530ms select distinct on (coalesce(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at from observability.uptime_checks order by coalesce(check_key, endpoint), checked_at desc;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Apr 30 01 4 2s153ms 538ms 02 6 3s175ms 529ms 03 1 529ms 529ms 04 2 1s35ms 517ms [ User: labanimal - Total duration: 6s893ms - Times executed: 13 ]
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SELECT DISTINCT ON (COALESCE(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at FROM observability.uptime_checks ORDER BY COALESCE(check_key, endpoint), checked_at DESC;
Date: 2026-04-30 00:04:11 Duration: 622ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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SELECT DISTINCT ON (COALESCE(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at FROM observability.uptime_checks ORDER BY COALESCE(check_key, endpoint), checked_at DESC;
Date: 2026-04-30 01:52:19 Duration: 548ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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SELECT DISTINCT ON (COALESCE(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at FROM observability.uptime_checks ORDER BY COALESCE(check_key, endpoint), checked_at DESC;
Date: 2026-04-30 01:37:00 Duration: 538ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
20 882ms 1 882ms 882ms 882ms update tasks set task_status = ? where time_completed < now() - interval ? month;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Apr 30 02 1 882ms 882ms [ User: labanimal - Total duration: 882ms - Times executed: 1 ]
[ Application: expire_tasks:zemm_produktiv_8@h2940066.stratoserver.net:5432 - Total duration: 882ms - Times executed: 1 ]
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UPDATE tasks SET task_status = '7' WHERE time_completed < now() - interval '1' month;
Date: 2026-04-30 01:30:02 Duration: 882ms Database: zemm_produktiv_8 User: labanimal Remote: 81.169.238.237 Application: expire_tasks:zemm_produktiv_8@h2940066.stratoserver.net:5432 Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
Most frequent queries (N)
Rank Times executed Total duration Min duration Max duration Avg duration Query 1 366 29m42s 517ms 5s834ms 4s870ms create index if not exists idx_metrics_timeseries_metric on observability.metrics_timeseries (metric_name);Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_metric ON observability.metrics_timeseries (metric_name);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_metric ON observability.metrics_timeseries (metric_name);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_metric ON observability.metrics_timeseries (metric_name);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
2 366 29m42s 517ms 5s834ms 4s870ms create index if not exists idx_metrics_timeseries_bucket on observability.metrics_timeseries (bucket_start);Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_bucket ON observability.metrics_timeseries (bucket_start);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_bucket ON observability.metrics_timeseries (bucket_start);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_bucket ON observability.metrics_timeseries (bucket_start);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
3 366 29m42s 517ms 5s834ms 4s870ms create schema if not exists observability;Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE SCHEMA IF NOT EXISTS observability;
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE SCHEMA IF NOT EXISTS observability;
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE SCHEMA IF NOT EXISTS observability;
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
4 366 29m42s 517ms 5s834ms 4s870ms create table if not exists observability.uptime_checks ( id bigserial primary key, endpoint text not null, status text not null, latency_ms double precision, checked_at timestamptz not null default now() );Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.uptime_checks ( id bigserial PRIMARY KEY, endpoint text NOT NULL, status text NOT NULL, latency_ms double precision, checked_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.uptime_checks ( id bigserial PRIMARY KEY, endpoint text NOT NULL, status text NOT NULL, latency_ms double precision, checked_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.uptime_checks ( id bigserial PRIMARY KEY, endpoint text NOT NULL, status text NOT NULL, latency_ms double precision, checked_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
5 366 29m42s 517ms 5s834ms 4s870ms create index if not exists idx_uptime_checks_endpoint on observability.uptime_checks (endpoint, checked_at desc);Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_endpoint ON observability.uptime_checks (endpoint, checked_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_endpoint ON observability.uptime_checks (endpoint, checked_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_endpoint ON observability.uptime_checks (endpoint, checked_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
6 366 29m42s 517ms 5s834ms 4s870ms create table if not exists observability.system_metrics ( id bigserial primary key, payload jsonb not null, collected_at timestamptz not null default now() );Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.system_metrics ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.system_metrics ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.system_metrics ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
7 366 29m42s 517ms 5s834ms 4s870ms create index if not exists idx_uptime_checks_key on observability.uptime_checks (check_key, checked_at desc);Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_key ON observability.uptime_checks (check_key, checked_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_key ON observability.uptime_checks (check_key, checked_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_key ON observability.uptime_checks (check_key, checked_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
8 366 29m42s 517ms 5s834ms 4s870ms create index if not exists idx_db_top_queries_tenant on observability.db_top_queries (tenant_key, collected_at desc);Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_db_top_queries_tenant ON observability.db_top_queries (tenant_key, collected_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_db_top_queries_tenant ON observability.db_top_queries (tenant_key, collected_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_db_top_queries_tenant ON observability.db_top_queries (tenant_key, collected_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
9 366 29m42s 517ms 5s834ms 4s870ms alter table observability.uptime_checks add column if not exists label text;Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS label text;
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS label text;
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS label text;
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
10 366 29m42s 517ms 5s834ms 4s870ms create table if not exists observability.nginx_counters ( id bigserial primary key, payload jsonb not null, collected_at timestamptz not null default now() );Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.nginx_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.nginx_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.nginx_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
11 366 29m42s 517ms 5s834ms 4s870ms create table if not exists observability.db_top_queries ( id bigserial primary key, tenant_key text not null, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz not null default now() );Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.db_top_queries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.db_top_queries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.db_top_queries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
12 366 29m42s 517ms 5s834ms 4s870ms create table if not exists observability.app_events ( id bigserial primary key, tenant_key text not null, event_type text not null, severity text not null, message text not null, payload jsonb, occurred_at timestamptz not null default now(), created_at timestamptz not null default now() );Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.app_events ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, event_type text NOT NULL, severity text NOT NULL, message text NOT NULL, payload jsonb, occurred_at timestamptz NOT NULL DEFAULT NOW(), created_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.app_events ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, event_type text NOT NULL, severity text NOT NULL, message text NOT NULL, payload jsonb, occurred_at timestamptz NOT NULL DEFAULT NOW(), created_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.app_events ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, event_type text NOT NULL, severity text NOT NULL, message text NOT NULL, payload jsonb, occurred_at timestamptz NOT NULL DEFAULT NOW(), created_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
13 366 29m42s 517ms 5s834ms 4s870ms create index if not exists idx_app_events_type on observability.app_events (event_type);Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_app_events_type ON observability.app_events (event_type);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_app_events_type ON observability.app_events (event_type);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_app_events_type ON observability.app_events (event_type);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
14 366 29m42s 517ms 5s834ms 4s870ms create table if not exists observability.metrics_timeseries ( id bigserial primary key, tenant_key text not null, metric_name text not null, bucket_start timestamptz not null, bucket_width_seconds integer not null default ?, sum_value double precision not null default ?, count_value bigint not null default ?, histogram jsonb, created_at timestamptz not null default now(), updated_at timestamptz not null default now(), unique (tenant_key, metric_name, bucket_start, bucket_width_seconds) );Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.metrics_timeseries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, metric_name text NOT NULL, bucket_start timestamptz NOT NULL, bucket_width_seconds integer NOT NULL DEFAULT 60, sum_value double precision NOT NULL DEFAULT 0, count_value bigint NOT NULL DEFAULT 0, histogram jsonb, created_at timestamptz NOT NULL DEFAULT NOW(), updated_at timestamptz NOT NULL DEFAULT NOW(), UNIQUE (tenant_key, metric_name, bucket_start, bucket_width_seconds) );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.metrics_timeseries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, metric_name text NOT NULL, bucket_start timestamptz NOT NULL, bucket_width_seconds integer NOT NULL DEFAULT 60, sum_value double precision NOT NULL DEFAULT 0, count_value bigint NOT NULL DEFAULT 0, histogram jsonb, created_at timestamptz NOT NULL DEFAULT NOW(), updated_at timestamptz NOT NULL DEFAULT NOW(), UNIQUE (tenant_key, metric_name, bucket_start, bucket_width_seconds) );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.metrics_timeseries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, metric_name text NOT NULL, bucket_start timestamptz NOT NULL, bucket_width_seconds integer NOT NULL DEFAULT 60, sum_value double precision NOT NULL DEFAULT 0, count_value bigint NOT NULL DEFAULT 0, histogram jsonb, created_at timestamptz NOT NULL DEFAULT NOW(), updated_at timestamptz NOT NULL DEFAULT NOW(), UNIQUE (tenant_key, metric_name, bucket_start, bucket_width_seconds) );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
15 366 29m42s 517ms 5s834ms 4s870ms create table if not exists observability.phpfpm_counters ( id bigserial primary key, payload jsonb not null, collected_at timestamptz not null default now() );Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.phpfpm_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.phpfpm_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.phpfpm_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
16 366 29m42s 517ms 5s834ms 4s870ms create index if not exists idx_app_events_tenant on observability.app_events (tenant_key, occurred_at desc);Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_app_events_tenant ON observability.app_events (tenant_key, occurred_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_app_events_tenant ON observability.app_events (tenant_key, occurred_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_app_events_tenant ON observability.app_events (tenant_key, occurred_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
17 366 29m42s 517ms 5s834ms 4s870ms alter table observability.uptime_checks add column if not exists payload jsonb;Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS payload jsonb;
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS payload jsonb;
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS payload jsonb;
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
18 71 5m54s 4s602ms 5s834ms 4s986ms with start_snap as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at <= ? order by tenant_key, fingerprint, collected_at desc ), fallback_start as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at between ? and ? order by tenant_key, fingerprint, collected_at asc ), end_snap as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at between ? and ? order by tenant_key, fingerprint, collected_at desc ), deltas as ( select e.tenant_key, e.fingerprint, e.query, e.collected_at as last_seen, greatest (coalesce(e.total_time_ms, ?) - coalesce(s.total_time_ms, fs.total_time_ms, ?), ?) as total_time_ms, greatest (coalesce(e.calls, ?) - coalesce(s.calls, fs.calls, ?), ?) as calls, greatest (coalesce(e.rows_returned, ?) - coalesce(s.rows_returned, fs.rows_returned, ?), ?) as rows_returned from end_snap e left join start_snap s on s.tenant_key = e.tenant_key and s.fingerprint = e.fingerprint left join fallback_start fs on fs.tenant_key = e.tenant_key and fs.fingerprint = e.fingerprint and s.tenant_key is null ) select fingerprint, max(query) as query, max(last_seen) as last_seen, sum(total_time_ms) as total_time_ms, sum(calls) as calls, sum(rows_returned) as rows_returned, case when sum(calls) > ? then sum(total_time_ms) / sum(calls) else ? end as mean_time_ms, array_agg(distinct tenant_key order by tenant_key) as tenant_keys from deltas where total_time_ms > ? or calls > ? group by fingerprint order by total_time_ms desc, calls desc limit ? offset ?;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Apr 30 01 11 56s533ms 5s139ms 02 12 1m 5s72ms 03 12 59s288ms 4s940ms 04 11 55s349ms 5s31ms 05 12 58s724ms 4s893ms 06 12 58s430ms 4s869ms 07 1 4s873ms 4s873ms [ User: labanimal - Total duration: 5m54s - Times executed: 71 ]
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WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 12:24:48+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 12:24:48+02' AND '2026-04-30 00:24:48+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 12:24:48+02' AND '2026-04-30 00:24:48+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 00:24:54 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 16:00:37+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 16:00:37+02' AND '2026-04-30 04:00:37+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 16:00:37+02' AND '2026-04-30 04:00:37+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 04:00:42 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 13:11:12+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 13:11:12+02' AND '2026-04-30 01:11:12+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 13:11:12+02' AND '2026-04-30 01:11:12+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 01:11:18 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
19 13 6s893ms 502ms 622ms 530ms select distinct on (coalesce(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at from observability.uptime_checks order by coalesce(check_key, endpoint), checked_at desc;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Apr 30 01 4 2s153ms 538ms 02 6 3s175ms 529ms 03 1 529ms 529ms 04 2 1s35ms 517ms [ User: labanimal - Total duration: 6s893ms - Times executed: 13 ]
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SELECT DISTINCT ON (COALESCE(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at FROM observability.uptime_checks ORDER BY COALESCE(check_key, endpoint), checked_at DESC;
Date: 2026-04-30 00:04:11 Duration: 622ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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SELECT DISTINCT ON (COALESCE(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at FROM observability.uptime_checks ORDER BY COALESCE(check_key, endpoint), checked_at DESC;
Date: 2026-04-30 01:52:19 Duration: 548ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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SELECT DISTINCT ON (COALESCE(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at FROM observability.uptime_checks ORDER BY COALESCE(check_key, endpoint), checked_at DESC;
Date: 2026-04-30 01:37:00 Duration: 538ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
20 1 882ms 882ms 882ms 882ms update tasks set task_status = ? where time_completed < now() - interval ? month;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Apr 30 02 1 882ms 882ms [ User: labanimal - Total duration: 882ms - Times executed: 1 ]
[ Application: expire_tasks:zemm_produktiv_8@h2940066.stratoserver.net:5432 - Total duration: 882ms - Times executed: 1 ]
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UPDATE tasks SET task_status = '7' WHERE time_completed < now() - interval '1' month;
Date: 2026-04-30 01:30:02 Duration: 882ms Database: zemm_produktiv_8 User: labanimal Remote: 81.169.238.237 Application: expire_tasks:zemm_produktiv_8@h2940066.stratoserver.net:5432 Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
Normalized slowest queries (N)
Rank Min duration Max duration Avg duration Times executed Total duration Query 1 4s602ms 5s834ms 4s986ms 71 5m54s with start_snap as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at <= ? order by tenant_key, fingerprint, collected_at desc ), fallback_start as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at between ? and ? order by tenant_key, fingerprint, collected_at asc ), end_snap as ( select distinct on (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at from observability.db_top_queries where tenant_key in (...) and collected_at between ? and ? order by tenant_key, fingerprint, collected_at desc ), deltas as ( select e.tenant_key, e.fingerprint, e.query, e.collected_at as last_seen, greatest (coalesce(e.total_time_ms, ?) - coalesce(s.total_time_ms, fs.total_time_ms, ?), ?) as total_time_ms, greatest (coalesce(e.calls, ?) - coalesce(s.calls, fs.calls, ?), ?) as calls, greatest (coalesce(e.rows_returned, ?) - coalesce(s.rows_returned, fs.rows_returned, ?), ?) as rows_returned from end_snap e left join start_snap s on s.tenant_key = e.tenant_key and s.fingerprint = e.fingerprint left join fallback_start fs on fs.tenant_key = e.tenant_key and fs.fingerprint = e.fingerprint and s.tenant_key is null ) select fingerprint, max(query) as query, max(last_seen) as last_seen, sum(total_time_ms) as total_time_ms, sum(calls) as calls, sum(rows_returned) as rows_returned, case when sum(calls) > ? then sum(total_time_ms) / sum(calls) else ? end as mean_time_ms, array_agg(distinct tenant_key order by tenant_key) as tenant_keys from deltas where total_time_ms > ? or calls > ? group by fingerprint order by total_time_ms desc, calls desc limit ? offset ?;Times Reported Time consuming queries #1
Day Hour Count Duration Avg duration Apr 30 01 11 56s533ms 5s139ms 02 12 1m 5s72ms 03 12 59s288ms 4s940ms 04 11 55s349ms 5s31ms 05 12 58s724ms 4s893ms 06 12 58s430ms 4s869ms 07 1 4s873ms 4s873ms [ User: labanimal - Total duration: 5m54s - Times executed: 71 ]
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WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 12:24:48+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 12:24:48+02' AND '2026-04-30 00:24:48+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 12:24:48+02' AND '2026-04-30 00:24:48+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 00:24:54 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 16:00:37+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 16:00:37+02' AND '2026-04-30 04:00:37+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 16:00:37+02' AND '2026-04-30 04:00:37+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 04:00:42 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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WITH start_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at <= '2026-04-29 13:11:12+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), fallback_start AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 13:11:12+02' AND '2026-04-30 01:11:12+02' ORDER BY tenant_key, fingerprint, collected_at ASC ), end_snap AS ( SELECT DISTINCT ON (tenant_key, fingerprint) tenant_key, fingerprint, query, total_time_ms, calls, rows_returned, collected_at FROM observability.db_top_queries WHERE tenant_key IN ('prod') AND collected_at BETWEEN '2026-04-29 13:11:12+02' AND '2026-04-30 01:11:12+02' ORDER BY tenant_key, fingerprint, collected_at DESC ), deltas AS ( SELECT e.tenant_key, e.fingerprint, e.query, e.collected_at AS last_seen, GREATEST (COALESCE(e.total_time_ms, 0) - COALESCE(s.total_time_ms, fs.total_time_ms, 0), 0) AS total_time_ms, GREATEST (COALESCE(e.calls, 0) - COALESCE(s.calls, fs.calls, 0), 0) AS calls, GREATEST (COALESCE(e.rows_returned, 0) - COALESCE(s.rows_returned, fs.rows_returned, 0), 0) AS rows_returned FROM end_snap e LEFT JOIN start_snap s ON s.tenant_key = e.tenant_key AND s.fingerprint = e.fingerprint LEFT JOIN fallback_start fs ON fs.tenant_key = e.tenant_key AND fs.fingerprint = e.fingerprint AND s.tenant_key IS NULL ) SELECT fingerprint, MAX(query) AS query, MAX(last_seen) AS last_seen, SUM(total_time_ms) AS total_time_ms, SUM(calls) AS calls, SUM(rows_returned) AS rows_returned, CASE WHEN SUM(calls) > 0 THEN SUM(total_time_ms) / SUM(calls) ELSE 0 END AS mean_time_ms, array_agg(DISTINCT tenant_key ORDER BY tenant_key) AS tenant_keys FROM deltas WHERE total_time_ms > 0 OR calls > 0 GROUP BY fingerprint ORDER BY total_time_ms DESC, calls DESC LIMIT '20' OFFSET '0';
Date: 2026-04-30 01:11:18 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
2 517ms 5s834ms 4s870ms 366 29m42s create index if not exists idx_metrics_timeseries_metric on observability.metrics_timeseries (metric_name);Times Reported Time consuming queries #2
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_metric ON observability.metrics_timeseries (metric_name);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_metric ON observability.metrics_timeseries (metric_name);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_metric ON observability.metrics_timeseries (metric_name);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
3 517ms 5s834ms 4s870ms 366 29m42s create index if not exists idx_metrics_timeseries_bucket on observability.metrics_timeseries (bucket_start);Times Reported Time consuming queries #3
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_bucket ON observability.metrics_timeseries (bucket_start);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_bucket ON observability.metrics_timeseries (bucket_start);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_metrics_timeseries_bucket ON observability.metrics_timeseries (bucket_start);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
4 517ms 5s834ms 4s870ms 366 29m42s create schema if not exists observability;Times Reported Time consuming queries #4
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE SCHEMA IF NOT EXISTS observability;
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE SCHEMA IF NOT EXISTS observability;
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE SCHEMA IF NOT EXISTS observability;
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
5 517ms 5s834ms 4s870ms 366 29m42s create table if not exists observability.uptime_checks ( id bigserial primary key, endpoint text not null, status text not null, latency_ms double precision, checked_at timestamptz not null default now() );Times Reported Time consuming queries #5
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.uptime_checks ( id bigserial PRIMARY KEY, endpoint text NOT NULL, status text NOT NULL, latency_ms double precision, checked_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.uptime_checks ( id bigserial PRIMARY KEY, endpoint text NOT NULL, status text NOT NULL, latency_ms double precision, checked_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.uptime_checks ( id bigserial PRIMARY KEY, endpoint text NOT NULL, status text NOT NULL, latency_ms double precision, checked_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
6 517ms 5s834ms 4s870ms 366 29m42s create index if not exists idx_uptime_checks_endpoint on observability.uptime_checks (endpoint, checked_at desc);Times Reported Time consuming queries #6
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_endpoint ON observability.uptime_checks (endpoint, checked_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_endpoint ON observability.uptime_checks (endpoint, checked_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_endpoint ON observability.uptime_checks (endpoint, checked_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
7 517ms 5s834ms 4s870ms 366 29m42s create table if not exists observability.system_metrics ( id bigserial primary key, payload jsonb not null, collected_at timestamptz not null default now() );Times Reported Time consuming queries #7
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.system_metrics ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.system_metrics ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.system_metrics ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
8 517ms 5s834ms 4s870ms 366 29m42s create index if not exists idx_uptime_checks_key on observability.uptime_checks (check_key, checked_at desc);Times Reported Time consuming queries #8
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_key ON observability.uptime_checks (check_key, checked_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_uptime_checks_key ON observability.uptime_checks (check_key, checked_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE INDEX IF NOT EXISTS idx_uptime_checks_key ON observability.uptime_checks (check_key, checked_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
9 517ms 5s834ms 4s870ms 366 29m42s create index if not exists idx_db_top_queries_tenant on observability.db_top_queries (tenant_key, collected_at desc);Times Reported Time consuming queries #9
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_db_top_queries_tenant ON observability.db_top_queries (tenant_key, collected_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_db_top_queries_tenant ON observability.db_top_queries (tenant_key, collected_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE INDEX IF NOT EXISTS idx_db_top_queries_tenant ON observability.db_top_queries (tenant_key, collected_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
10 517ms 5s834ms 4s870ms 366 29m42s alter table observability.uptime_checks add column if not exists label text;Times Reported Time consuming queries #10
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS label text;
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS label text;
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS label text;
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
11 517ms 5s834ms 4s870ms 366 29m42s create table if not exists observability.nginx_counters ( id bigserial primary key, payload jsonb not null, collected_at timestamptz not null default now() );Times Reported Time consuming queries #11
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.nginx_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.nginx_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.nginx_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
12 517ms 5s834ms 4s870ms 366 29m42s create table if not exists observability.db_top_queries ( id bigserial primary key, tenant_key text not null, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz not null default now() );Times Reported Time consuming queries #12
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.db_top_queries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE TABLE IF NOT EXISTS observability.db_top_queries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE TABLE IF NOT EXISTS observability.db_top_queries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, fingerprint text, query text, mean_time_ms double precision, total_time_ms double precision, calls bigint, rows_returned bigint, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
13 517ms 5s834ms 4s870ms 366 29m42s create table if not exists observability.app_events ( id bigserial primary key, tenant_key text not null, event_type text not null, severity text not null, message text not null, payload jsonb, occurred_at timestamptz not null default now(), created_at timestamptz not null default now() );Times Reported Time consuming queries #13
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.app_events ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, event_type text NOT NULL, severity text NOT NULL, message text NOT NULL, payload jsonb, occurred_at timestamptz NOT NULL DEFAULT NOW(), created_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE TABLE IF NOT EXISTS observability.app_events ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, event_type text NOT NULL, severity text NOT NULL, message text NOT NULL, payload jsonb, occurred_at timestamptz NOT NULL DEFAULT NOW(), created_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE TABLE IF NOT EXISTS observability.app_events ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, event_type text NOT NULL, severity text NOT NULL, message text NOT NULL, payload jsonb, occurred_at timestamptz NOT NULL DEFAULT NOW(), created_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
14 517ms 5s834ms 4s870ms 366 29m42s create index if not exists idx_app_events_type on observability.app_events (event_type);Times Reported Time consuming queries #14
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_app_events_type ON observability.app_events (event_type);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE INDEX IF NOT EXISTS idx_app_events_type ON observability.app_events (event_type);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE INDEX IF NOT EXISTS idx_app_events_type ON observability.app_events (event_type);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
15 517ms 5s834ms 4s870ms 366 29m42s create table if not exists observability.metrics_timeseries ( id bigserial primary key, tenant_key text not null, metric_name text not null, bucket_start timestamptz not null, bucket_width_seconds integer not null default ?, sum_value double precision not null default ?, count_value bigint not null default ?, histogram jsonb, created_at timestamptz not null default now(), updated_at timestamptz not null default now(), unique (tenant_key, metric_name, bucket_start, bucket_width_seconds) );Times Reported Time consuming queries #15
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.metrics_timeseries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, metric_name text NOT NULL, bucket_start timestamptz NOT NULL, bucket_width_seconds integer NOT NULL DEFAULT 60, sum_value double precision NOT NULL DEFAULT 0, count_value bigint NOT NULL DEFAULT 0, histogram jsonb, created_at timestamptz NOT NULL DEFAULT NOW(), updated_at timestamptz NOT NULL DEFAULT NOW(), UNIQUE (tenant_key, metric_name, bucket_start, bucket_width_seconds) );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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CREATE TABLE IF NOT EXISTS observability.metrics_timeseries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, metric_name text NOT NULL, bucket_start timestamptz NOT NULL, bucket_width_seconds integer NOT NULL DEFAULT 60, sum_value double precision NOT NULL DEFAULT 0, count_value bigint NOT NULL DEFAULT 0, histogram jsonb, created_at timestamptz NOT NULL DEFAULT NOW(), updated_at timestamptz NOT NULL DEFAULT NOW(), UNIQUE (tenant_key, metric_name, bucket_start, bucket_width_seconds) );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE TABLE IF NOT EXISTS observability.metrics_timeseries ( id bigserial PRIMARY KEY, tenant_key text NOT NULL, metric_name text NOT NULL, bucket_start timestamptz NOT NULL, bucket_width_seconds integer NOT NULL DEFAULT 60, sum_value double precision NOT NULL DEFAULT 0, count_value bigint NOT NULL DEFAULT 0, histogram jsonb, created_at timestamptz NOT NULL DEFAULT NOW(), updated_at timestamptz NOT NULL DEFAULT NOW(), UNIQUE (tenant_key, metric_name, bucket_start, bucket_width_seconds) );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
16 517ms 5s834ms 4s870ms 366 29m42s create table if not exists observability.phpfpm_counters ( id bigserial primary key, payload jsonb not null, collected_at timestamptz not null default now() );Times Reported Time consuming queries #16
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE TABLE IF NOT EXISTS observability.phpfpm_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE TABLE IF NOT EXISTS observability.phpfpm_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE TABLE IF NOT EXISTS observability.phpfpm_counters ( id bigserial PRIMARY KEY, payload jsonb NOT NULL, collected_at timestamptz NOT NULL DEFAULT NOW() );
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
17 517ms 5s834ms 4s870ms 366 29m42s create index if not exists idx_app_events_tenant on observability.app_events (tenant_key, occurred_at desc);Times Reported Time consuming queries #17
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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CREATE INDEX IF NOT EXISTS idx_app_events_tenant ON observability.app_events (tenant_key, occurred_at DESC);
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE INDEX IF NOT EXISTS idx_app_events_tenant ON observability.app_events (tenant_key, occurred_at DESC);
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
CREATE INDEX IF NOT EXISTS idx_app_events_tenant ON observability.app_events (tenant_key, occurred_at DESC);
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
18 517ms 5s834ms 4s870ms 366 29m42s alter table observability.uptime_checks add column if not exists payload jsonb;Times Reported Time consuming queries #18
Day Hour Count Duration Avg duration Apr 30 01 60 4m38s 4s637ms 02 60 4m55s 4s928ms 03 60 4m52s 4s876ms 04 60 5m 5s9ms 05 60 4m54s 4s916ms 06 60 4m50s 4s841ms 07 6 30s79ms 5s13ms [ User: labanimal - Total duration: 29m42s - Times executed: 361 ]
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ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS payload jsonb;
Date: 2026-04-30 00:29:01 Duration: 5s834ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS payload jsonb;
Date: 2026-04-30 04:05:01 Duration: 5s424ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
-
ALTER TABLE observability.uptime_checks ADD COLUMN IF NOT EXISTS payload jsonb;
Date: 2026-04-30 01:16:01 Duration: 5s311ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
19 882ms 882ms 882ms 1 882ms update tasks set task_status = ? where time_completed < now() - interval ? month;Times Reported Time consuming queries #19
Day Hour Count Duration Avg duration Apr 30 02 1 882ms 882ms [ User: labanimal - Total duration: 882ms - Times executed: 1 ]
[ Application: expire_tasks:zemm_produktiv_8@h2940066.stratoserver.net:5432 - Total duration: 882ms - Times executed: 1 ]
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UPDATE tasks SET task_status = '7' WHERE time_completed < now() - interval '1' month;
Date: 2026-04-30 01:30:02 Duration: 882ms Database: zemm_produktiv_8 User: labanimal Remote: 81.169.238.237 Application: expire_tasks:zemm_produktiv_8@h2940066.stratoserver.net:5432 Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
20 502ms 622ms 530ms 13 6s893ms select distinct on (coalesce(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at from observability.uptime_checks order by coalesce(check_key, endpoint), checked_at desc;Times Reported Time consuming queries #20
Day Hour Count Duration Avg duration Apr 30 01 4 2s153ms 538ms 02 6 3s175ms 529ms 03 1 529ms 529ms 04 2 1s35ms 517ms [ User: labanimal - Total duration: 6s893ms - Times executed: 13 ]
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SELECT DISTINCT ON (COALESCE(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at FROM observability.uptime_checks ORDER BY COALESCE(check_key, endpoint), checked_at DESC;
Date: 2026-04-30 00:04:11 Duration: 622ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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SELECT DISTINCT ON (COALESCE(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at FROM observability.uptime_checks ORDER BY COALESCE(check_key, endpoint), checked_at DESC;
Date: 2026-04-30 01:52:19 Duration: 548ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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SELECT DISTINCT ON (COALESCE(check_key, endpoint) ) check_key, label, endpoint, status, latency_ms, payload, checked_at FROM observability.uptime_checks ORDER BY COALESCE(check_key, endpoint), checked_at DESC;
Date: 2026-04-30 01:37:00 Duration: 538ms Database: zemm_monitoring User: labanimal Bind query: yes Log file: /var/log/postgresql/postgresql-2026-04-30_000000.csv
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
- 28,574 Event entries
- (EVENTLOG entries are formaly LOG level entries that are not queries)
Events distribution (except queries)
Key values
- 0 PANIC entries
- 0 FATAL entries
- 0 ERROR entries
- 0 WARNING entries
- 0 EVENTLOG entries
Events per 5 minutes
NO DATASET
Most Frequent Errors/Events
Key values
- 0 Max number of times the same event was reported
- 0 Total events found
Rank Times reported Error NO DATASET