supabase-postgres-best-practices

Optimize PostgreSQL query performance in Supabase by applying structured best practices across query tuning, indexing strategies, and schema design. Each rule provides concrete SQL examples and rationale to guide actionable database improvements.

Best indexing strategies for Supabase Postgres include composite, partial, and covering indexes. The best practices provide concrete SQL examples and performance guidance to help developers select and implement the right index type for their query patterns.

Row Level Security (RLS) can impact Supabase query performance if not optimized correctly. The best practices include specific RLS optimization rules within the Security category, providing SQL examples to maintain access control without degrading database speed.

Yes, these Postgres best practices apply across production databases, development sandboxes, and serverless environments. The rules are structured to guide developers on when and how to apply specific performance configurations based on the operational context.

Manage connections and concurrency in Supabase Postgres using recommended configurations from the Connection Management and Concurrency & Locking categories. These rules provide structured guidance to prevent bottlenecks and maintain reliable database access.

Use partitioning and advanced Postgres features in Supabase when addressing specific data access patterns and scalability limits. The best practices outline when to apply these advanced techniques with structured SQL examples and performance rationale.