Asset static data collection method and system for distributed shared connection

Abstract

The invention discloses a method and system for collecting asset static data of a distributed shared connection. The method includes steps: S100: Probe nodes deployed in a distributed manner send a connection application to the connection pool middleware through the connection pool client; S200: The middleware of the connection pool The software receives the connection application, and obtains the connection routing information of the target data source; S300: the connection pool middleware assigns the reusable idle connection or the new connection established to the probe node through the connection pool client according to the connection routing information; S400: explores Obtain the allocated connection for the node, and send a command primitive to the connection pool middleware through the connection pool client; S500: the connection pool middleware receives the command primitive and collects static data. The invention can reuse idle connections efficiently, and can reasonably control the total number of connections from the dimension of data source instances; at the same time, it can also realize unified management of external data source access, which can reduce operation and maintenance costs.

Description

technical field [0001] The invention relates to the field of IT business support, in particular to a method and system for collecting asset static data of distributed shared connections. Background technique [0002] At present, in the field of information technology, with the continuous rapid development of computer and network technology, the digital transformation of enterprises is in full swing, the use of information systems is becoming more and more extensive, and the social economy has begun to be comprehensively digitized. Data has become one of the most important core assets of enterprises. However, in the actual environment, enterprise data assets tend to grow explosively. The scale is large and complex, scattered and not centralized. It is difficult to effectively utilize data, and it is impossible to bring higher value to enterprises through data. In addition, with the promulgation of laws and regulations such as the Cyber ​​Security Law and the Data Security Law...

AI Technical Summary

Problems solved by technology

In this way, due to the lack of a unified data communication entrance and exit, network policy management is too complicated

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