Graph data storing method and subgraph enquiring method based on external memory

Abstract

The invention discloses a graph data storing method and a subgraph enquiring method based on external memories. The invention belongs to the technical field of database. The graph data storing method comprises steps that: (1) graph data formats are unified into a standard graph data format; (2) the edges of the graph data are classified and stored according to the tag information of the starting point and the end point of each edge of the graph data, and a B+-Tree index is established for each class of edges; (3) the points of the graphs are divided into a plurality of domains according to the tag information of each point of the graph data, wherein the points in a same domain orderly corresponds to a bit according to the sequence of identifiers; then, according to the tag information of the starting points and the end points of the edges, a bitmap index is established for each class of edges in the step (2); and (4) a starting point data histogram and an end point data histogram are established for each class of edges. The subgraph enquiring method comprises steps that: first, a subgraph to be enquired is decomposed; then the sub-modules obtained through decomposition are enquired; and the enquiry results are integrated. The methods provided by the invention have characteristics of high enquiring efficiency and good extensibility.

Description

Technical field [0001] The invention belongs to the field of database technology and graph data management, and mainly relates to a method for storing large-scale graph data, constructing an index, and executing subgraph query based on external memory. Background technique [0002] Graph database is a new type of database technology that uses graph structure and attributes to represent and store information. It is a type of NoSQL database. A general graph database should be able to store any form of graphs, including geographic maps, social networks, and so on. [0003] The graph database is based on graph theory, which uses the concepts of points and edges in graph theory. Among them, dots are often used to represent entities in reality, such as people, companies, accounts, and everything else you want to record. Edges are used to connect two points and indicate the relationship between the two points. Generally speaking, other information will be attached to the point or side....

AI Technical Summary

Problems solved by technology

[0005] However, for subgraph queries, most of the existing methods and systems are based on memory, so they only support operations on small-scale graphs, which obviously cannot adapt to the growing data scale at this stage; On the other hand, they all need to build complex index structures, which cannot adapt to the continuous update of the data graph

It can be seen that the traditional graph database technology has been unable to meet the growing demand for graph data storage and query.

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