supabase-postgres-best-practices

Optimize Postgres query performance by applying best practices for indexing, query tuning, and partitioning. Use partial and covering indexes to reduce lookup overhead, and monitor slow queries with pg_stat_statements to identify and refactor bottlenecks.

Configuring Row Level Security (RLS) policies safely requires enforcing strict access controls at the table level. Follow established RLS patterns to ensure data isolation across development, staging, and production environments without compromising query efficiency.

Set up VACUUM and ANALYZE maintenance routines to reclaim storage and update query planner statistics. Regular execution prevents table bloat and ensures the Postgres query optimizer has accurate data distribution information for efficient execution plans.

Use partial indexes to target specific subsets of data, reducing index size and write overhead, and apply covering indexes to include columns needed by queries without accessing the main table. This approach significantly speeds up read-heavy workloads.

Yes, you can monitor database performance using pg_stat_statements. This extension tracks execution statistics for all SQL queries, helping you identify slow queries, analyze execution patterns, and guide query optimization and refactoring workflows.

Safely configure Postgres connections by managing connection pooling and limiting concurrent connections to prevent resource exhaustion. Following connection configuration practices ensures stable performance across development, staging, and production environments.