Data docking system and method and computer readable storage medium

Abstract

The invention discloses a data docking system, and the system comprises a docking configuration console, a command parsing server, a configuration Agent server, an identity management system and a docking execution running state unit; the docking configuration console is used for configuring system data of an opposite side and generating a docking push command and docking configuration information; the command parsing server is used for receiving the docking push command and packaging the docking push command into a docking command which can be identified by the docking execution running state unit; the configuration Agent server is used for receiving and verifying the docking configuration information, and dynamically compiling the verified docking configuration information into a corresponding data docking execution dynamic library and a data mapping dynamic library; and the docking execution running state unit is used for carrying out docking processing on a specific docking command. According to the invention, the defect of low data docking efficiency in the existing data docking processing scheme is overcome, and a docking processing flow asynchronous pipeline processing technology is provided.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a data docking system, method and computer-readable storage medium. Background technique [0002] As the basic system for the standardization and unified management of identity data in the application system, the identity management system needs to do a lot of data docking work with the business system, authentication system, and authority system, acting as a data bus. Due to the variety of data transmission protocols and data structures of the docking counterparty systems, how to improve the flexibility and scalability of data docking is currently a difficult point in data docking; at the same time, the process of data docking is generally lengthy, usually including docking configuration analysis, A series of processes such as data acquisition, invalid data filtering, data structure mapping, and data push, how to improve the efficiency of the data docking process an...

AI Technical Summary

Problems solved by technology

[0004] Existing data docking solutions face various types of identity data (such as users, organizations, applications, devices, etc.) Customized code solves problems such as low development efficiency and poor code maintainability because there is no unified template docking process for unified adaptation, and there is a lot of code redundancy;

[0005] Existing data docking solutions face a lengthy data docking process, without a set of visual process tracking pages, which step the data docking process has reached and which step has failed cannot be checked intuitively in real time, and the maintainability of the docking system is relatively expensive. high;

[0006] Most of the existing data docking scheme processing processes adopt a synchronous method. If any process node fails, it can only be processed from the initial process node, and the docking efficiency is low.

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