Design and implement database indexing strategies. Use when creating indexes, choosing index types, or optimizing index performance in PostgreSQL and MySQL.

Database Indexing Strategy Table of Contents [Overview]( overview) [When to Use]( when to use) [Quick Start]( quick start) [Reference Guides]( reference guides) [Best Practices]( best practices) Overview Design comprehensive indexing strategies to improve query performance, reduce lock contention, and maintain data integrity. Covers index types, design patterns, and maintenance procedures. When to Use Index creation and planning Query performance optimization through indexing Index type selection (B tree, Hash, GiST, BRIN) Composite and partial index design Index maintenance and monitoring Storage optimization with indexes Full text search index design Quick Start B tree Indexes (Default): Reference Guides Detailed implementations in the references/ directory: Guide Contents [PostgreSQL Index Types](references/postgresql index types.md) PostgreSQL Index Types [MySQL Index Types](references/mysql index types.md) MySQL Index Types [Single Column Indexes](references/single column indexes.md) Single Column Indexes, Composite Indexes, Partial/Filtered Indexes, Expression Indexes Best Practices ✅ DO Follow established patterns and conventions Write clean, maintainable code Add appropriate documentation Test thoroughly before deploying ❌ DON'T Skip testing or validation Ignore error handling Hard code configuration values

database-indexing-strategy