
Lesson 21 of the SQL Optimization Course: Composite Indexes 2
This article explores MySQL composite index unsuitable scenarios and optimization strategies through detailed SQL execution plan analyses.

This article explores MySQL composite index unsuitable scenarios and optimization strategies through detailed SQL execution plan analyses.

Unlock 100x faster MySQL queries by mastering LIKE optimization through range scans and index-aware SQL rewriting. Discover how SQLFlash leverages B+ tree principles to eliminate full-table scans and boost database performance.

This report compares MySQL TopN query optimizations using window functions, showcasing a two-order performance boost via CTE and LIMIT strategies with SQLFlash. Original 8-second queries optimized to 10ms through execution plan analysis and indexing strategies.

Discover how MySQL functional indexes optimize query performance and simplify complex data retrieval.

Explore how MySQL prefix indexes optimize query performance and storage efficiency.

Explore MySQL primary key design best practices, including space efficiency, ordering, data types, and alternatives to UUIDs for optimal performance.

Optimize SQL queries by replacing IN with = for unique subquery results, achieving dramatic performance improvements in execution time and resource usage.

B+ Trees optimize database indexing by reducing disk I/O and improving query efficiency. Learn how they power MySQL indexing.

Adjusting MERGE_THRESHOLD optimizes data page merging and splitting in MySQL InnoDB, enhancing performance.

Explore MySQL's table statistics calculation, including persistent vs non-persistent options and optimization strategies.