postgres-patterns

What problem does it solve?

Solves PostgreSQL query inefficiencies and poor schema decisions by providing proven patterns.

Core Features & Use Cases

• Query optimization templates: pattern-based guidance for common WHERE, JOIN, and aggregation scenarios to reduce latency.
• Indexing and schema design: recommendations for B-tree, BRIN, GIN for text and JSON, partial and composite indexes, and effective table design.
• Security and governance: guidance on Row Level Security (RLS) and safe defaults to control data access.
• Use Case: Engineers refactor a slow reporting query by applying a composite index and an appropriate filter strategy to speed up execution.

Quick Start

To start, review your current workload and run a pattern audit against a sample schema to identify candidate indexes and RLS policies that align with Supabase best practices.