Postgresql

So here’s the thing nobody tells you about JSONB in Postgres: it’s fast until it’s not. We migrated our user preferences table to use JSONB columns three months ago. The pitch was simple - no more ALTER TABLE every time marketing wants to track a new preference. Just stuff it in JSON and call it a day. Seemed smart at the time. The honeymoon phase First two weeks were great. Engineers loved it. Product loved it. We shipped features faster because we didn’t need schema migrations for every little thing. Our user_settings column grew from tracking 5 fields to 23. No problem, right? ...

PostgreSQL performance tuning requires understanding configuration and queries. Here’s a guide. Configuration Tuning postgresql.conf # Memory settings shared_buffers = 256MB effective_cache_size = 1GB work_mem = 16MB # Connection settings max_connections = 100 # Query planner random_page_cost = 1.1 Query Optimization Use EXPLAIN ANALYZE EXPLAIN ANALYZE SELECT * FROM users WHERE email = '[email protected]'; Indexing -- B-tree index CREATE INDEX idx_user_email ON users(email); -- Partial index CREATE INDEX idx_active_users ON users(email) WHERE status = 'active'; -- Composite index CREATE INDEX idx_user_status_created ON users(status, created_at); Best Practices Analyze query plans Create appropriate indexes Use connection pooling Monitor slow queries Vacuum regularly Conclusion Tune PostgreSQL for optimal performance! 🐘