supabase-postgres-best-practices

To optimize Postgres queries, apply best-practice guidance for query tuning, indexing strategies, and schema design. This skill delivers testable SQL examples to rewrite inefficient queries and improve performance.

Implementing Row-Level Security (RLS) requires combining access control policies with performance-focused recommendations. This skill provides best practices for RLS to maintain audit readiness without degrading query speed.

Table partitioning is needed for schema design when managing large analytics workloads. This skill offers best-practice guidance on partitioning strategies to improve maintainability and scalability in Postgres.

This Postgres optimization guidance applies to both standalone Postgres workloads and Supabase projects. It covers configuration recommendations and operational checks that can be implemented directly in code or migrations.

Maintain Postgres performance in production by following operational guidelines for connection pooling, vacuuming, and statistics maintenance. This skill provides operational checks to sustain reliability and meet SLAs.

Query tuning limitations for complex Postgres analytics workloads arise when schema design or resource configurations are inadequate. This skill helps address these constraints by providing comprehensive indexing and partitioning strategies.