postgres-patterns

Choosing the right PostgreSQL index type depends on your query patterns: B-tree handles standard equality and range queries, GIN accelerates full-text search and array containment, and BRIN efficiently indexes large tables with naturally sorted data.

You need Row Level Security (RLS) in PostgreSQL when multi-tenant applications require strict row-level access control. Enabling RLS ensures users only query and modify data rows they are explicitly authorized to access based on defined policies.

The best way to optimize slow PostgreSQL queries involves rewriting inefficient SQL, selecting appropriate index types like B-tree or GIN for multi-column filters, and verifying execution costs to ensure scalable database performance.

Normalization vs denormalization in PostgreSQL schema design trade-offs involves balancing data integrity against query performance. Normalization reduces redundancy through constraints, while denormalization improves read speed by accepting controlled data duplication.

You can apply these PostgreSQL optimization patterns to an existing database by incrementally adding appropriate indexes, enabling Row Level Security, and modifying table constraints without requiring a complete schema redesign.