supabase-postgres-best-practices

To optimize slow PostgreSQL queries in Supabase, apply field-tested techniques like analyzing explain plans, adding targeted indexes, and refining SQL. This skill codifies query performance guidance with examples to resolve bottlenecks and improve execution speed.

The best way to implement row-level security (RLS) in PostgreSQL is by following safe defaults and Supabase-endorsed policy patterns. This skill provides security and RLS rules to help you enforce data access restrictions without breaking existing workflows.

To partition large PostgreSQL tables for better performance, follow schema design and data access pattern rules that ensure measurable outcomes. This skill offers partitioning strategies and maintenance tips to manage large datasets efficiently within Supabase.

To tune connection pooling for a Supabase Postgres database, apply connection management rules that establish safe defaults for concurrent access. This skill consolidates pooling guidance to prevent connection exhaustion and maintain reliable database operations.

Yes, you can use these PostgreSQL optimization techniques without breaking existing Supabase workflows. The skill emphasizes compatibility and safe defaults across schema design, concurrency, and locking, ensuring improvements integrate smoothly with your current production environment.