supabase-postgres-best-practices

Optimize PostgreSQL query performance in Supabase by applying structured query tuning, selecting appropriate index types, and avoiding common anti-patterns. This skill provides actionable SQL patterns to improve latency across complex joins and data access workflows.

Configuring Row Level Security (RLS) securely requires following specific schema design rules to prevent data leaks. This skill enforces guidance on RLS configuration alongside concurrency and locking best practices for production environments.

Set up PostgreSQL monitoring and maintenance by configuring autovacuum and logging to support automated optimization workflows. This skill covers diagnostics and maintenance rules to maintain healthy production databases and improve reliability.

Yes, this guidance targets production-style Supabase deployments by enforcing rules for robust schema design, connection management, and partitioning. It ensures operational efficiency and reliability at scale.

Use partitioning for large datasets where standard indexing cannot efficiently manage data access patterns and maintenance overhead. This skill provides structured rules to determine when partitioning or specific index types best improve query latency.