Configurable method for automatically generating database and accessing data

Abstract

The invention discloses a configurable method for automatically generating a database and accessing data. The configurable method includes converting a UML (unified modeling language) class image designed in a business requirement analysis stage into an XML (extensible markup language) file; generating metadata information by means of analyzing and reading the XML file; selecting a used database and used business processing language by means of selecting a configuration file by a user; generating a database template, an entity class template and a data access class template; and generating a database, an entity class and a data access class of a system by the aid of a generator of the system according to the metadata information and the generated templates. The metadata information includes basic attributes including the accessibility, the name and the type of an object. By the aid of the configurable method, the UML class image is converted to the database, the entity class, the data access class and the like, accordingly, the database and a data access layer can adapt to change of the object and change of the attributes of the object, when the type of the database and the business processing language are changed, only the design of the UML class image needs to be modified to regenerate a database and a data access layer, and extensibility and maintainability of the system are improved.

Description

Technical field [0001] The present invention relates to the field of computer application technology, in particular to a configurable method for automatically generating a database and data access. Background technique [0002] The development process of the existing computer application system includes business requirement analysis, database design, detailed design to development and maintenance. Among them, UML modeling, designing databases, designing entity classes, and writing data access layer are essential. In this process, there are the following problems: [0003] 1. System scale. With the complexity and huge amount of data, the number of entity classes and class attributes in the system will greatly increase. If you manually write entity classes and data access classes, it will be time-consuming and energy-consuming. [0004] 2. Data attribute update. With more and more data in the enterprise, the data structure changes, which directly leads to changes in the model and ...

AI Technical Summary

Problems solved by technology

[0007] Model-driven architecture MDA is a relatively popular architecture, which can realize the conversion from model to target code, but this method is also difficult to avoid operations caused by large changes in the database

[0008] It can be seen that the current persistence technology and model-driven architecture are difficult to meet the fast update of data attributes, ensure simple and effective operation, and ensure scalability and maintainability

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