supabase-postgres-best-practices

Optimize slow PostgreSQL queries by applying concrete SQL patterns for indexing, partitioning, and upserts, along with maintenance recommendations that target large datasets and improve transactional throughput.

Improve Row Level Security (RLS) performance by applying efficient RLS policy configurations and best-practice rules that harden security while maintaining query efficiency across Postgres-based projects.

Use PostgreSQL partitioning when speeding up slow reports on large datasets, improving transactional throughput, and applying maintenance patterns that require categorized guidance for schema design and data access patterns.

Integrate PostgreSQL best practices with automated tooling and human review by applying prioritized categories with concrete SQL patterns and metrics that support both automated enforcement and manual changelist validation.

The Supabase Postgres guidance covers connection management, concurrency, locking, and monitoring diagnostics through comprehensive categorized rules with actionable before-and-after examples for real-world workloads.