
Lesson 18 of the SQL Optimization Course: Understanding Prefix Indexes
Explore how MySQL prefix indexes optimize query performance and storage efficiency.

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

Explore hash tables and MySQL hash indexes to optimize database performance and improve query efficiency.

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

Explore LeetCode's No.185 SQL solutions, comparing subquery and window function performance with SQLFLASH optimization insights.

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

Explore the index structures of MySQL's MyISAM and InnoDB engines, their advantages, disadvantages, and optimization strategies for database performance.

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

AI transforms SQL optimization by overcoming traditional limitations through intelligent analysis and automated, context-aware improvements, enhancing database performance.

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.