MySQL分区分表的设计及实现

Design and Implementation of MySQL Partition Table

随着信息技术的快速发展,数据量越来越大,海量的表查询操作需要消耗大量的时间,成为影响数据库访问性能提高的主要因素。为了提升数据库操作的查询效率和用户体验,在关系型数据库管理系统(MySQL)中通过range分区和Merge存储,提出优化的分区分表算法。实验证明,优化后的算法在实现大数据量的表查询操作中,工作效率明显提高。

With the rapid development of information technology,the amount of data is getting larger and larger,and the massive table query operation needs a lot of time,which becomes the main factor affecting the improvement of database access performance.In order to improve the query efficiency and user experience of database operation,in the relational database management system(MySQL),using range partitioning and Merge storage,an optimized partitioning and table algorithm is proposed.Experiments show that the optimized algorithm can significantly improve the efficiency of table query operations with large amount of data.