Method and system for optimizing data storage of query statistics of graph database

Abstract

Disclosed are a method and a system for optimizing data storage of query statistics of a graph database. The method includes: periodically scanning, on storage servers in which partitions are located, all edges in the partitions; determining, according to all the edges in the partitions, partitions to which start points and end points belong, and calculating outgoing-edge correlation and incoming-edge correlation between partitions; calculating relevancies between partitions through a preset correlation matrix weight according to the outgoing-edge correlation and the incoming-edge correlation between partitions; and storing partitions with high relevancies on a same storage server. The present disclosure solves the problems of difficult optimization of storage distribution, as well as high resource consumption and low efficiency of query statistics of a graph database, and implements partition distribution of a graph database with an optimized distribution architecture, thereby reducing resource consumption of data calling and improving performance of the graph database.