Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- 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):
-- Standard equality and range queries
CREATE INDEX idx_users_email ON users(email);
CREATE INDEX idx_orders_created_at ON orders(created_at DESC);
-- Composite indexes for multi-column queries
CREATE INDEX idx_orders_user_status
ON orders(user_id, status)
WHERE cancelled_at IS NULL;
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| PostgreSQL Index Types | PostgreSQL Index Types |
| MySQL Index Types | MySQL Index Types |
| Single Column Indexes | 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