supabase-postgres-best-practices

To optimize Postgres query performance in Supabase, apply priority-based rules across query writing, schema design, and indexing. Use concrete SQL examples and metrics guidance to identify performance hotspots and apply recommended improvements.

Best practices for schema design and RLS in Supabase involve applying priority-based rules across security, data access patterns, and scalable multi-tenant designs. This ensures secure access controls and efficient schema strategies.

Audit a Supabase project for performance hotspots by running a quick-start review of SQL, indexing, and configuration. This identifies the top three performance issues to begin applying recommended improvements.

Yes, this Supabase optimization guidance covers connection management and concurrency. It provides step-by-step instructions to apply best practices across locking, connection pooling, and configuration tuning.

Use partitioning and advanced Postgres features in Supabase when tuning performance, designing scalable schemas, or handling complex data access patterns. The guidance includes specific rules for these advanced features.

Yes, you can use these Postgres best practices for automated code generation and review. The guidance provides context-aware rules and concrete SQL examples suitable for automated code generation workflows.