Dynamic proxy system and method of target relation mapping system

Abstract

The invention provides a dynamic proxy system of a target relation mapping system. The dynamic proxy system comprises an interception unit, a judging unit, an analyzing unit, a dynamic mapping unit and an access unit, wherein the interception unit is used for intercepting a mapping request which is generated according to a data request sent by a client to a server; the judging unit is used for judging whether dynamic mapping support is required to be provided to the mapping request or not; the analyzing unit is used for analyzing mapping parameters according to the mapping request when the dynamic mapping support is required to be provided; the dynamic mapping unit is used for dynamically mapping a target model and a relation data model in the target relation mapping system according to the mapping parameters; the access unit is used for performing data access on the basis of the target model which is dynamically mapped and feeding an access result back to the client. Correspondingly, the invention also provides a dynamic proxy method of the target relation mapping system. The dynamic proxy method of the target relation mapping system is provided to the target model during operation from transverse and longitudinal dimensions, so that the method can be well combined with the traditional static mapping scheme of the target relation mapping system.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a dynamic agent system of an object-relational mapping system and a dynamic agent method of the object-relational mapping system. Background technique [0002] In object-oriented (OO) software product design, when designers face relational database management systems composed of relational databases such as MySQL, MSSQL, and ORACLE, object-relational mapping schemes (ORM, Object / Relation Mapping) gradually become mainstream technology. The ORM system manages the relationship between the relational data model and the object model (Object Model). Usually, the relational data model (NRDM) corresponds to the object model one by one. The structure of a table in NRDM corresponds to the structure of an entity class in the object model. The fields in the table correspond to the attributes of the entity object, and a row of records in the table corresponds to an entity object (Entity O...

AI Technical Summary

Problems solved by technology

However, with the continuous development of enterprise applications, the mapping scheme of business requirements to ORM systems no longer stays at the level of static mapping. In the face of massive user data and large-scale enterprise applications with high access volume, many systems use sub-database and sub-table architecture, some applications still have the need for customer-defined fields in the later stage of system launch

If a system adopts a sub-table strategy according to business needs (for example, e-commerce systems usually use sub-table storage for user order-related tables), it means that its own ORM system must support one object model corresponding to multiple relational data models; Customer-defined fields also mean the need to modify the relational data model and entity object model in the ORM system, and even modify the table structure in the relational database, migrate old data and other tedious work

Then the traditional ORM static mapping solution is no longer so smart at this time, which requires a dynamic mapping technical solution

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