supabase-postgres-best-practices

To optimize slow Postgres queries, you can apply Supabase-maintained performance rules that analyze your SQL using EXPLAIN ANALYZE. This ruleset identifies inefficient execution plans and returns the highest-impact fixes with corrected SQL examples.

Designing indexes for Postgres pagination requires using the correct index types like composite, covering, and partial indexes. This ruleset provides specific guidance on indexing strategies and foreign key indexing to resolve pagination bottlenecks.

Implementing performant RLS involves applying least-privilege access patterns to secure your data. This ruleset provides specific safety recommendations for designing RLS policies that maintain database security without degrading query performance.

Tuning connection pooling for Postgres involves applying configuration best practices for real-world system stability. This ruleset includes connection management guidance to ensure your database handles concurrent connections efficiently.

Postgres schema design best practices include defining proper constraints and selecting appropriate data types to prevent inefficient schemas. This ruleset applies Supabase-maintained rules to improve your database configuration and structural integrity.

Partitioning in Postgres is recommended for managing large datasets when standard indexing strategies become insufficient. This ruleset includes guidance on partitioning and correct index types to help you scale your database effectively.