A distributed system data synchronization method and system based on a message engine

Abstract

The disclosure discloses a method and system for synchronizing distributed system data based on a message engine, which acquires configuration files of a business system and stores them on an integration platform; builds a new data query database, acquires business update data, and according to the business type to which the business update data belongs, Classified and stored in the data query database; according to the business type of the business update data, send a heartbeat request to the corresponding business system, and receive the heartbeat feedback information of the business system; extract the business update data to be pushed, and send the to-be-pushed data through the message engine The business update data is published to the business system. The business system maximizes the integrity of the basic data of each business subsystem by actively sending update requests; the integration platform uses the message engine service subscription model to ensure that each business system can be restarted even when it is down. Update the latest business data at a time.

Description

technical field [0001] The present disclosure relates to the technical field of computer software system data integration, in particular to a message engine-based distributed system data synchronization method and system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the continuous improvement of informatization, group-based business applications have generated a large amount of basic business data, and enterprises have higher and higher requirements for data synchronization of refined business classification. In order to ensure reliable data application results, it is required to use complete, consistent, accurate, and real-time data. In traditional data integration, it is generally simple to perform regular extraction through ETL tools, which causes data to be unable to be updated in time. At the same time, due to data security ...

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Problems solved by technology

In order to ensure reliable data application results, it is required to use complete, consistent, accurate, and real-time data. In traditional data integration, it is generally simple to perform regular extraction through ETL tools, which causes data to be unable to be updated in time. At the same time, due to data security considerations, the direct connection mode is becoming less and less recognized;

[0004] However, common business system data integration generally only pushes individual data. This integration mode has the following technical problems: each business subsystem can only passively accept data update pushes from service providers, and cannot actively update data; each business subsystem is updated at the same time , the concurrency pressure and data transmission of the service provider are relatively large; when any business subsystem is unexpectedly down, the latest data cannot be updated and synchronized in time

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