postgres-patterns

PostgreSQL query optimization best practices involve selecting appropriate index types and matching query patterns to reduce SQL latency. This skill provides quick-reference patterns for indexing, data types, and schema design to improve database performance directly.

Implementing Row Level Security (RLS) in PostgreSQL restricts data access at the row level based on user roles. This skill supplies security best-practice patterns, including RLS setup and data type selection, to ensure fast and secure database schemas.

Common PostgreSQL anti-patterns involve poor data type choices and inefficient schema structures that degrade performance. This skill outlines these anti-patterns and offers best-practice guidance for partitioning and schema design to avoid common database pitfalls.

Different PostgreSQL index types should be used based on specific query patterns and data structures for effective database tuning. This skill provides practical examples and quick-start guidance for matching indexing types to your queries to optimize performance.

Yes, this PostgreSQL patterns reference is based on Supabase best practices. It applies directly to database developers, data engineers, and ops teams designing schemas, tuning queries, or implementing security within Supabase or standard PostgreSQL environments.