Device and method for buildingg dynamic data structures and relationships based on condition rules

Abstract

The invention provides a device for building dynamic data structures and relationships based on condition rules. The device comprises a dynamic entity object model building module, a dynamic entity object deploying module and a dynamic entity object accessing module, wherein the dynamic entity object model building module has a function of enabling a user to define variable properties and relationships of entity objects; the dynamic entity object model building module is used for outputting an entity define file; the dynamic entity object deploying module is used for mapping an entity object model to a database physical storage structure by taking the entity define file as input to realize physical deploy of the dynamic entity objects; and the dynamic entity object accessing module is used for providing access service of the dynamic entity objects and enabling a user application program to create, use and store object instances. The invention also provides a method for building dynamic data structures and relationships based on condition rules. Through the device and method for building dynamic data structures and relationships based on condition rules, static data structures and relationships, commonly used for building systems, are broken through; and due to adoption of dynamic data structures and relationships, software developers can solve more complex business problems.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a device for constructing dynamic data structures and relationships based on conditional rules and a method for constructing dynamic data structures and relationships based on conditional rules. [0002] Background technique [0003] In the process of information system construction, the construction of data entities and relationships is one of the important contents. In the case of a single business scenario and uncomplicated applications, the structure of the data and the relationship between entities are relatively obvious and can be defined directly. However, in complex application scenarios, the structure and relationship of data are not so simple and easy to solidify, as shown in the following aspects: [0004] (1) First of all, abstract objects often have many derivations in specific applications. These derived objects appear as different fields and relat...

AI Technical Summary

Problems solved by technology

[0004] (1) First of all, abstract objects often have many derivations in specific applications. These derived objects appear as different fields and relationships at the data level. Traditional databases are limited by the fixed table structure and cannot directly store such objects. Object-oriented database technology Theoretically, this problem can be solved, but the current development is immature and the cost is high

[0011] (1) Storing the fields of all objects in a single table will lead to expansion of the table structure, resulting in a large number of redundant null value fields, and low storage efficiency;

[0012] ⑵Application developers need to directly access the database, and carefully handle the mapping relationship between the object model and the data model in the program code, which leads to low development efficiency and prone to errors

[0013] (3) Application developers cannot directly model the non-fixed attributes and relationships of business objects in the real world. Application developers need to use special code control logic to realize the mapping and storage of objects with dynamic structures and relationships in the database. The fixed hard code implementation makes it difficult for the system to flexibly expand and change

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