supabase-postgres-best-practices

To optimize slow PostgreSQL queries in Supabase, review schema designs and execution plans to add composite or partial indexes. This improves slow filters, joins, and pagination by ensuring queries use optimal access patterns instead of full table scans.

The best way to configure connection pooling for Supabase Postgres is to analyze connection pressure and apply pooling configurations that reduce operational overhead. This lowers connection limits and lock contention, ensuring operational reliability during busy database traffic.

Row Level Security for multi-tenant Supabase applications works by applying least-privilege access policies to your tables. This security hardening isolates tenant data and enforces safer access patterns directly at the database layer.

Postgres bulk ingestion causes transaction locking and deadlocks when operations conflict with existing resource limits and execution plans. Resolve this by recommending safer transaction handling and optimizing bulk operations to reduce lock contention.

Yes, you can use this to review existing SQL schemas and identify missing indexes. It diagnoses schema and configuration issues, returning actionable recommendations for the highest-impact performance and security improvements for your tables.

You should not use partial indexes for advanced search optimization when they conflict with Postgres execution plans or resource limits. Carefully evaluate query patterns, as incorrect indexing creates maintenance overhead without improving operational reliability.