Graph database test method and system, equipment and storage medium

Abstract

The invention discloses a graph database test method and system, equipment and a storage medium, and the method comprises the steps: generating graph data meeting a target service scene according to the requirements of the target business scene; determining a test type for the to-be-tested graph database; generating test data suitable for the test type according to the test type and the graph datameeting the target service scene; and testing the to-be-tested graph database according to the test data suitable for the test type. That is to say, graph data meeting different service scenes is dynamically generated according to different service scene requirements. The to-be-tested graph database is tested based on the graph data meeting different business scenes; the problem of graph data testing in the prior art is solved, the function of testing the graph database is achieved, the complex relation of multiple scenes can be covered, the expression difference of the graph database systemin different scenes is achieved, the application scene of the testing scheme is greatly expanded, and the reusability of the testing system is improved.

Description

technical field [0001] The present application relates to the technical field of database testing, in particular to a graph database testing method, system, device and computer-readable storage medium. Background technique [0002] Graph databases are currently the fastest growing category of all data management systems. Through the graph format storage of nodes, attributes, and edges, the graph database overcomes the large and complex data problems that cannot be solved by other databases, and has obvious advantages in the processing of complex problems. Its advantages are mainly reflected in: better and faster Query and analysis; simpler and more natural data modeling; support both real-time updates and queries; more flexible data structures. Therefore, more and more graph database-based products and analysis systems have emerged on the market. [0003] For traditional databases, there are already some relatively mature functional and performance automated testing soluti...

AI Technical Summary

Problems solved by technology

Compared with traditional databases, graph databases have different application scenarios for data modeling, storage, and expression, and the testing schemes of traditional databases cannot be applied to the testing of graph databases.

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