SQL Query Optimization

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Analyze SQL queries to identify performance bottlenecks and implement optimization techniques. Includes query analysis, indexing strategies, and rewriting patterns for improved performance.

When to Use

• Slow query analysis and tuning
• Query rewriting and refactoring
• Index utilization verification
• Join optimization
• Subquery optimization
• Query plan analysis (EXPLAIN)
• Performance baseline establishment

Quick Start

PostgreSQL:

-- Analyze query plan with execution time
EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON)
SELECT u.id, u.email, COUNT(o.id) as order_count
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
WHERE u.created_at > NOW() - INTERVAL '1 year'
GROUP BY u.id, u.email;

-- Check table statistics
SELECT * FROM pg_stats
WHERE tablename = 'users' AND attname = 'created_at';

Reference Guides

Detailed implementations in the references/ directory:

Guide	Contents
Analyze Current Performance	Analyze Current Performance
Common Optimization Patterns	Common Optimization Patterns
Query Rewriting Techniques	Query Rewriting Techniques
Batch Operations	Batch Operations

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