Connection pooling and configuration

2029
0

Connection pooling reuses database connections across requests. Creating connections is expensive—pooling amortizes overhead. I use PgBouncer for PostgreSQL, ProxySQL for MySQL. Session pooling maintains session state. Transaction pooling is more efficient but stateless. Statement pooling shares single connection. Pool sizing depends on workload—too few causes queuing, too many overwhelms database. Understanding max_connections limits prevents failures. Connection timeout configuration prevents hung connections. Idle connection cleanup frees resources. Health checks remove broken connections. Proper pooling enables thousands of app connections with hundreds of database connections. Load balancing distributes across read replicas. Connection pooling is essential for web applications at scale.