supabase-postgres-best-practices

Optimize slow Postgres queries in a Supabase project by mapping bottlenecks to best-practice categories like query performance and index selection. Apply concrete patterns to rewrite inefficient queries and add appropriate indexes for testable performance gains.

Best practices for Supabase RLS policies involve applying optimization patterns from the Security & RLS category to ensure data access control without degrading query speed. This ensures security guardrails are maintained while sustaining database performance.

Run safe Postgres migrations on Supabase by following concurrency and locking guardrails to prevent blocking table access. The workflow provides concrete recommendations to ensure schema changes are applied securely without disrupting typical workloads.

Use table partitioning in Supabase Postgres when you need to sustain performance over time for large datasets. Apply partitioning patterns alongside VACUUM and ANALYZE maintenance workflows to manage typical workloads and prevent database bloat.

Tune autovacuum and maintenance workflows for Supabase Postgres by applying best-practice patterns for VACUUM and ANALYZE tasks. This sustains database performance over time by ensuring statistics are updated and dead tuples are safely removed.

Supabase handles Postgres connection management for high traffic by applying best practices from the connection management category. This ensures typical workloads remain stable and performant without exhausting database connection limits.