Data state consistency management and control method in multi-stage central environment

Abstract

The invention provides a data state consistency management and control method in a multi-stage center environment. The method comprises steps: a distributed information management system is constructed into a multi-stage data management center; a unique management identifier ID is set for the management center data, the ID comprises a version number and the number of times of modification, the version number corresponds to a multi-stage management center, and the version level corresponds to the level of the management center; and the multi-stage data management center receives, changes and sends data through the management identifier ID. The method is high in universality, can be reused in the data state storage and management application of each center in a multi-center environment, and flexibly meets the state management and control requirements of each level of center on data receiving and transmitting and local data processing. The method is not only suitable for a distributed data management environment caused by network isolation, but also suitable for an environment in which centralized data storage is performed but sub-authority management is emphasized.

Description

technical field [0001] The invention relates to a data version state consistency control method, in particular to a data state consistency control method in a multi-level center environment. Background technique [0002] Business process is a concept generated by the division of labor, and refers to a series of activities that are completed in an orderly manner by different people with a common goal. Activities can be handed off between different people. In the field of information management, it can be understood in a narrow sense as a work process composed of a series of process nodes and execution methods related to customer value satisfaction. [0003] In the field of information management, business process management is often supported by workflow (workflow) engine technology. Workflow is an abstraction of business processes, and workflow engine is a set of implementation tools for driving workflow. It can easily define roles and division of labor in business process...

AI Technical Summary

Problems solved by technology

However, in some specific scenarios, such as when the network conditions are not available, the users and nodes participating in the editing and review process actually form a situation where multiple centers coexist and data is maintained asynchronously, which brings great challenges to the maintenance of data consistency between multi-level and multi-node inconvenient

[0009] In the process of business data management under the condition of multi-center coexistence, business data circulates among the central databases according to a certain process, and is constantly modified, reviewed, adjusted, and deleted. On the one hand, it is hoped that it can be retained and interacted in the software system as much as possibleMore More detailed data change records, which means that storing more business data versions leads to an increase in data management scale. On the other hand, it is hoped that the access performance and nodes of business data tables can be guaranteed in the case of a large number of records of historical business data version status. The performance of inter-data interaction, and these performances decrease with the increase of data size

Under the condition of non-networked multi-center distribution, the performance of single center and the performance of data delivery between multiple centers are limited

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