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Query Optimization

22. 03. 2024 Updated: 27. 03. 2026 1 min read intermediate

EXPLAIN ANALYZE is your debugger for SQL. Seq Scan on a large table = problem. Index Scan = solution.

Reading EXPLAIN

EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT) SELECT * FROM orders WHERE user_id = 123 AND status = ‘active’; – Bad: – Seq Scan on orders (cost=0..10000 rows=100 width=200) – Filter: (user_id = 123 AND status = ‘active’) – Rows Removed by Filter: 99900 – Good: – Index Scan using idx_orders_user_status (cost=0..10 rows=100 width=200) – Index Cond: (user_id = 123 AND status = ‘active’)

Optimization Techniques

  • Add missing indexes (see EXPLAIN)
  • Rewrite subqueries as JOINs
  • Materialized views for repeated aggregations
  • LIMIT for top-N queries
  • Partition large tables

Materialized View

CREATE MATERIALIZED VIEW monthly_stats AS SELECT DATE_TRUNC(‘month’, created_at) as month, COUNT(*) as orders, SUM(amount) as revenue FROM orders GROUP BY 1; – Refresh (manually or via cron) REFRESH MATERIALIZED VIEW CONCURRENTLY monthly_stats;

Key Takeaway

Always use EXPLAIN ANALYZE. Seq Scan = add an index. Materialized views for aggregations. Monitor slow queries.

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CORE SYSTEMS team

We build core systems and AI agents that keep operations running. 15 years of experience with enterprise IT.