sql-optimization-patterns

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to eliminate slow queries.

- Covers EXPLAIN plan analysis with key metrics (Seq Scan, Index Scan, cost, rows, execution time) and five index types (B-Tree, Hash, GIN, GiST, BRIN) for different query patterns

- Includes five core optimization patterns: eliminating N+1 queries, cursor-based pagination, efficient aggregation, subquery transformation, and batch operations

- Provides advanced techniques like materialized views, table partitioning, and query hints for large-scale performance tuning

- Includes monitoring queries to identify slow queries, missing indexes, and unused indexes in PostgreSQL

SQL Optimization Patterns

Transform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.

When to Use This Skill

- Debugging slow-running queries

- Designing performant database schemas

- Optimizing application response times

- Reducing database load and costs

- Improving scalability for growing datasets

- Analyzing EXPLAIN query plans

- Implementing efficient indexes

- Resolving N+1 query problems

Core Concepts

1. Query Execution Plans (EXPLAIN)