SQL Optimization Patterns

About

SQL Optimization Patterns provides specialized guidance for developers looking to transform slow database operations into high-performance queries. This skill covers fundamental concepts like EXPLAIN analysis and advanced techniques such as materialized views and table partitioning. It helps eliminate common bottlenecks like N+1 query problems and inefficient pagination, offering production-ready patterns for PostgreSQL and MySQL to reduce database load, improve application scalability, and decrease infrastructure costs.

Key Features

• Advanced scaling techniques using partitioning and materialized views
• Batch operation optimization for high-throughput data processing
• 89 GitHub stars
• Pattern-based solutions for N+1 queries and large-table pagination
• Comprehensive indexing strategies including B-Tree, GIN, and Partial indexes
• Deep EXPLAIN and query execution plan analysis

Use Cases

• Debugging and resolving slow-running production application queries
• Designing high-performance database schemas for data-intensive features
• Optimizing legacy database workloads to reduce cloud infrastructure costs