PostgreSQL Performance Optimization: 10x Faster Queries
Contents
Slow queries almost always trace back to a handful of root causes: missing indexes, inefficient query patterns, or default config values. This article follows PostgreSQL docs best practices with real test data to help you systematically diagnose each.
Index Optimization
-- common mistake: index created but not used
CREATE INDEX idx_user_email ON users(email);
-- use EXPLAIN to confirm index used
EXPLAIN ANALYZE SELECT * FROM users WHERE email = '[email protected]';
-- composite index order: equality first, range last
CREATE INDEX idx_order_status_date ON orders(status, created_at);Query Optimization
-- use EXPLAIN to analyze
-- visualize execution plans at https://explain.depesz.com or https://pganalyze.com
EXPLAIN ANALYZE
SELECT * FROM orders
WHERE user_id = 123
AND created_at > '2025-01-01';
-- N+1 query
-- wrong
SELECT * FROM orders LIMIT 100;
-- then for each order: SELECT * FROM users WHERE id = order.user_id
-- correct: use JOIN
SELECT o.*, u.name
FROM orders o
JOIN users u ON o.user_id = u.id
LIMIT 100;Config Tuning
# postgresql.conf
shared_buffers = 256MB # 25% RAM
effective_cache_size = 768MB # 75% RAM
work_mem = 64MB
random_page_cost = 1.1 # use this for SSDConclusion
Optimization trio: indexes + queries + config. Investigate in order.