Indexes in MySQL are one of the key factors in optimizing database performance. When designing and implementing the data structure of indexes, MySQL chose B+ Tree As the main storage structure. This choice performs well in terms of query performance, disk I/O efficiency, etc. However, B+ tree is not the only index implementation solution. Common alternative data structures include Hash Table,Binary Tree,B-Tree and Jump tableThis article will analyze the characteristics of these data structures in detail, compare their advantages and disadvantages, and focus on explaining why MySQL ultimately chose the B+ tree.

1. The relationship between database index and data structure

In the database,indexIt is a data structure used to quickly find data, which can significantly improve data query performance. In large-scale data query scenarios, choosing a suitable data structure directly determin