The Research and Implementation of Database Optimization Method Based on K-Nearest Neighbor Algorithm

Abstract

The core technology of relational database in the “Internet plus” era is still widely used, but the performance optimization of relational database inevitably involves a lot of parameter adjustment. This paper put forward a kind of database optimization method based on K-nearest neighbor algorithm, realized the database configuration parameters automatically optimize management. It not only greatly improved the generality of database optimization, but also reduced the cumbersome manual setup, and avoided the disadvantages of empirical setting of the existing technology.