What pg_stat_statements Actually Tells You About Your Queries

pg_stat_statements is a PostgreSQL extension for identifying database cost centers by aggregating structurally similar queries into fingerprints and tracking their cumulative execution, planning, row, and buffer statistics. The discussion emphasizes ranking queries by total resource use rather than individual latency, since frequent millisecond-scale queries can consume more capacity than occasional slow reports. It explains how to enable the extension with shared preload settings, reset accumulated counters for meaningful measurement, and interpret metrics such as calls, total_exec_time, mean_exec_time, total_plan_time, cache hits, and block reads. A sample workload shows a reporting query dominating execution time through broad disk-heavy scans, while a seemingly fast partitioned-table lookup consumes most server planning time because a stable now() expression prevents plan-time partition pruning. Suggested remedies include passing fixed timestamps, using prepared statements, adjusting partition design, batching or caching high-frequency calls, and considering rollups or columnar storage for recurring large scans. The text also notes limitations including normalized values masking parameter-specific behavior, lack of percentiles and stored plans, entry eviction, incomplete accounting for DELETE-related vacuum work, and differences across PostgreSQL versions.

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