supabase-postgres-best-practices

Postgres performance optimization involves applying rules across eight categories including query performance, schema design, and connection management. These guidelines provide prioritized impact levels from critical to incremental, featuring detailed SQL examples and performance metrics.

To optimize slow Postgres queries, reference detailed performance rules that contrast incorrect versus correct SQL examples. These guidelines cover query optimization techniques and data access patterns, often utilizing EXPLAIN output to diagnose execution bottlenecks.

Yes, security and Row Level Security (RLS) configuration is explicitly covered as one of the eight performance rule categories. The guidelines address RLS implementation alongside concurrency, locking, and connection management for comprehensive database optimization.

You need existing knowledge of Postgres features and best practices. The guidelines provide advanced, comprehensive optimization rules across schema design and advanced features, assuming developers already understand foundational database concepts.

Yes, schema design and indexing are core components of the provided rules. Each guideline includes detailed explanations with incorrect versus correct SQL examples to demonstrate proper data access patterns and database configuration techniques.

You should review connection management and concurrency rules when configuring connection pooling or scaling your Postgres database. These guidelines help prevent locking issues and optimize data access patterns during high concurrency operations.