supabase-postgres-best-practices

To optimize slow Postgres queries, analyze execution plans using EXPLAIN guidance, apply correct indexing patterns, and tune connection pooling configurations. This provides prioritized index recommendations and concrete SQL fixes to reduce query latency.

Configuring connection pooling for Supabase Postgres involves applying specific pooling recommendations to manage database connections safely. This provides configuration rules to prevent connection exhaustion and improve application scalability under load.

Implementing safe row-level security (RLS) policies requires following specific RLS rules to avoid performance pitfalls. This offers prioritized guidance and concrete SQL examples to design secure RLS policies without degrading query performance.

Partitioning is used instead of indexing when managing large tables that degrade query performance. This provides prioritized partitioning patterns and indexing rules to help you choose the correct schema design for your specific data scale.

Tuning autovacuum and maintenance workflows involves adjusting timeout settings and vacuum configurations to maintain database reliability. This supplies operational rules to audit maintenance tasks and ensure consistent Postgres performance.