Postgresql

Executive Summary This document analyzes a three-month production deployment of PostgreSQL JSONB columns, documenting performance issues encountered, indexing strategies implemented, and architectural patterns that proved effective. The findings are relevant for teams considering JSONB for schema flexibility in high-traffic applications. Key Metrics: Initial table size: 2M records Average JSONB column size: 50KB Write throughput: 10K updates/minute Query degradation: 200ms → 14s (70x regression) Background and Context In Q4 2025, our engineering team migrated user preference storage from normalized columns to JSONB format. Primary motivation was reducing schema migration overhead as product requirements evolved. ...

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! 🐘