supabase-postgres-best-practices

Optimize slow PostgreSQL queries by analyzing EXPLAIN outputs and applying rules for composite, partial, and covering indexes. This guide provides correct and incorrect SQL examples with concrete performance metrics to guide query tuning and schema design.

PostgreSQL indexing best practices include using composite, partial, and covering indexes appropriately. This guide outlines specific index types and strategies with examples to reduce query latency in production Supabase applications.

Use partitioning and autovacuum tuning when managing large, production databases to prevent performance degradation. This guide provides operational best practices for vacuum/analyze configuration and partitioning strategies to maintain database health.

Supabase Row Level Security (RLS) policy design is a consideration for query performance. This guide includes security and policy design considerations alongside indexing and query optimization rules to prevent RLS-induced bottlenecks.

You can audit your existing PostgreSQL setup by applying these Supabase best practices to schema design, indexing, partitioning, and vacuum configurations. The guide provides diagnostic rules and real-world use cases to identify and fix common bottlenecks.

The best way to manage connections and tune autovacuum involves following operational guidelines for connection management and maintenance routines. This guide provides Supabase best practices for vacuum/analyze and autovacuum tuning to optimize performance.