GIT-based structural data version management system and method

Abstract

The invention provides a GIT-based structural data version management system and method. The GIT-based structural data version management system comprises a structural data editor, a file preprocessor, a file parser and a GIT-based file content memory. The structural data editor is used for editing the structural data. The file preprocessor is used for providing application service for import and / or export of the structural data file. The file parser is used for providing a parsing function of the data file, wherein an inlet of the file parser is provided with a structural data editor and a file preprocessor, and an outlet of the file parser is provided with a GIT-based file content memory. The GIT-based file content memory is used for providing version control and file storage functions for the file analyzed by the file analyzer. The system provided by the invention can make up for the defects and problems of structural data version control of an existing product data management system.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a GIT-based structured data version management system and method. Background technique [0002] Git is a distributed version control system based on data snapshot stream technology. It is mainly popular in the software engineering industry. It is used as a code version control system in the software product development process. Git has several advantages over other version control systems: more efficient High, low resource consumption, distributed, more flexible branches, etc. [0003] At present, the data version control and management technology of R & D and manufacturing enterprises is mainly based on PDM in the manufacturing industry. PDM is a set of virtual file systems driven by SQL. PDM can perform authority control and version control on structured data and binary CAD files. Control, document ownership, document check-in and check-out, revision management and release s...

AI Technical Summary

Problems solved by technology

[0004] Existing PDM systems can perform structured storage and version control on various types of files, but because PDM uses SQL databases as file indexes and stores file versions indiscriminately, many identical files will be stored in the file system , when an enterprise develops a project, because many product data versions will be generated during the research and development process, a huge project version library will eventually be generated, which not only causes a waste of hardware resources, but also makes the version library inefficient when checking in and checking out

[0005] The existing GitHub platform and other similar code hosting platforms are aimed at the software industry, so they cannot effectively support the data version control requirements of the manufacturing R&D industry, such as version control and difference comparison for Excel, Word and other files.

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