Distributed data management method on basis of multi-level relations

Abstract

The invention discloses a distributed data management method on the basis of multi-level relations, and belongs to the field of computer data information storage technologies. The distributed data management method includes steps of establishing an intermediate layer which is connected with source databases and a customer service side; standardizing access interfaces of the various distributed source databases in a unified manner, encapsulating the access interfaces into unified standard encapsulated interface packages, establishing a data access module in the intermediate layer and implanting the standard encapsulated interface packages into the data access module; synchronizing global information of the intermediate layer according to information of the source databases, and establishing a data integration module in the intermediate layer; establishing a logic layer module in the intermediate layer which comprises physical layers connected with actual system objects and functional logic layers of the actual system objects; forming a standard external interface in the intermediate layer and standardizing application standards of the standard external interface. The distributed data management method has the advantages that data redundancy is reduced, the access efficiency is improved, and a universal and extensible management architecture is established by the distributed data management method.

Description

technical field [0001] The invention belongs to the technical field of computer data information storage, and relates to a distributed data management method based on multi-level relationships. Background technique [0002] In the information system, the object-oriented entities often have complex structures, huge data, multi-level and multi-node relationships, and the complexity of the system usually makes the system adopt a variety of different types of distributed database structures. The characteristics lead to problems such as incomplete access data, poor real-time update data, many loopholes in data authority management, and low data use efficiency in data management. [0003] In order to improve the use efficiency of complex information systems, the method of integrating distributed databases is usually adopted to make multiple types and large quantities of databases form an overall database under unified standards, thus solving the problems of database redundancy and...

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Problems solved by technology

[0004] However, after data fusion, the system cannot reflect the characteristics of a distributed data system, so that the efficiency of the system is not greatly improved. In order to make the network more efficient, it is necessary to make the system data present obvious structural characteristics

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