postgres-pro

PostgreSQL query optimization requires running EXPLAIN (ANALYZE, BUFFERS) to expose execution bottlenecks like Seq Scans or inefficient joins. You convert this evidence into targeted fixes, such as adding specific index types or rewriting query structures, then verify improvements by re-running the same query.

JSONB indexing for containment queries typically uses GIN indexes to efficiently search document structures. You design indexing strategies by evaluating workload patterns against GIN, GiST, and B-tree options to ensure the database planner selects index scans over sequential scans for JSON data.

PostgreSQL streaming replication configuration involves setting up primary and standby nodes, then monitoring operational health using pg_stat views. You track replication lag and maintenance correctness to ensure standby nodes stay synchronized without introducing performance degradation.

VACUUM and ANALYZE maintenance prevents table bloat and ensures planner statistics remain accurate for query optimization. You schedule these routines based on write workload intensity and monitor pg_stat views to verify dead tuple cleanup and statistical correctness.

CREATE INDEX CONCURRENTLY is required for safe production PostgreSQL index creation because it avoids blocking writes. You verify index effectiveness before and after deployment to ensure the new index is actually used by the query planner without disrupting application availability.