Analyzes local or remote PostgreSQL workloads using historical pg_stat_statements snapshots.
pgext.cloud · Source code · Documentation · License text · Control file
| Package | pg_dbwa |
|---|---|
| Version | 0.3.1 |
| Repository | Unspecified |
| Extension type | SQL only |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | No |
| Schema | dbwa |
| Stars | 2 |
| Latest commit | 2016-09-25 |
| Catalogue updated | 2026-08-30 |
| dblink | connect to other PostgreSQL databases from within a database |
| pg_eyes | SQL monitoring functions and views for PostgreSQL database activity |
| pg_prttn_tools | Provides PL/pgSQL tools for managing inheritance-based partition tables. |
| pg_stat_statements | track planning and execution statistics of all SQL statements executed |
| plpgsql | PL/pgSQL procedural language |
| pg_stat_statements | track planning and execution statistics of all SQL statements executed |
| pg_grab_statement | Record detailed SQL statements from successfully committed transactions. |
| pg_sessions | Tracks per-session SQL execution metrics and optional Linux process resource statistics in shared memory. |
| pgtelemetry | Provides monitoring views and functions for PostgreSQL activity, storage, locks, replication, WAL, vacuum, and query statistics. |
| pg_stat_monitor | The pg_stat_monitor is a PostgreSQL Query Performance Monitoring tool, based on PostgreSQL contrib module pg_stat_statements. pg_stat_monitor provides aggregated statistics, client information, plan details including plan, and histogram information. |
| pg_stat_statements2 | Track SQL execution statistics using a PostgreSQL 9.4 pg_stat_statements derivative integrated with sql_firewall |
| gbdchecks | Database health-check functions and views for bloat, locks, query statistics, and privileges. |
| pg_eyes | SQL monitoring functions and views for PostgreSQL database activity |
| pgmonitor | Collector-friendly metric views and background refresh worker |
| memstat | Memory context statistics for local and instance backends |