Distributed Hierarchical Extraction Multi-Application Method and Data Extraction Applicator

Abstract

The invention provides a distributed hierarchical extracting and multi-application method and a data extracting and application device. The data extracting and application device comprises: a source data module which captures messages of multiple source databases, converts information contained in the messages and transmits the result to a corresponding advanced queue; a message routing module which acquires messages in the advanced queue in the source data module, transmits the messages to an Active MQ cluster and transmits data in the cluster; a message processing module which captures the messages sent by the message routing module, and applies the messages to a plurality of different application target ends after processing and converting. The data extracting and application device and the distributed hierarchical extracting and multi-application method have the advantages that the database application scheme enables messages to be extracted in a hierarchical manner from data of source databases distributed in different areas and enables the messages to be analyzed, converted and packaged for multi-application, so that share and multi-application of data in multiple databases in a distributed environment are possible.

Description

technical field [0001] The present invention relates to a data extraction applicator and method, more specifically, to a distributed hierarchical extraction multi-application method and a data extraction applicator for performing hierarchical extraction on distributed data to realize multiple applications. Background technique [0002] Usually, the service fields of all sectors of society, such as human resources and social security business, involve many projects such as social insurance, public employment, labor relations, personnel and talents, etc., with a wide range of services and a large amount of services, accumulating massive business data. At the same time, the rapid development of network and information technology has put forward higher requirements for business processing, information integration and scientific management in various fields. Continue to realize information integration, break down information islands, realize information sharing, simplify work proc...

AI Technical Summary

Problems solved by technology

[0003] At present, the data extraction method adopted by most data extraction technologies is an end-to-end data extraction mode, which cannot uniformly extract data from multiple regions, and the extracted data cannot be applied to multiple targets for various applications.

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