Multi-lease user method of industrial production data real-time processing platform system

Abstract

The invention discloses a multi-lease user method for an industrial production data real-time processing platform system, and the method comprises the steps: 1, unifying an identity authentication service; 2, enabling the multi-lease user to create mapping with the system user; 3, performing Zeppelin login authentication module modification; 4, automatically authenticating the task; managing the user by using a unified identity authentication service and controlling the resource range of the account; creating a plurality of user accounts, enabling each user account to correspond to one group,and controlling the authority through a user file system and a distributed file system; changing the Zeppelin login authentication module to call a unified identity authentication service; and submitting the task to a cluster to realize Kerberos automatic authentication. Unified identity authentication service is adopted, multi-lease user isolation is achieved, cluster data safety is guaranteed, seamless connection between an industrial production data real-time processing platform system and a big data system platform is achieved, and user login authentication and platform service authentication authorization are completed.

Description

technical field [0001] The invention relates to the technical field of platform systems, in particular to a multi-tenant user method for a platform system for real-time processing of industrial production data. Background technique [0002] At present, when multiple people or multi-project teams use the same authority to operate the data real-time processing platform system to access the big data system, there are mainly the following problems: [0003] 1. It will increase the cost of system maintenance: when the cluster system is upgraded, it is necessary to update the users used by the platform; [0004] 2. It will reduce data security: mixed use of developer accounts, no record of command operations, uncontrollable high-risk operations, sensitive data leakage, etc.; [0005] 3. Unable to manage cluster resources: Different departments or different project teams will have resource competition problems, resulting in the failure of cluster tasks to run normally. Contents ...

AI Technical Summary

Problems solved by technology

[0003] 1. It will increase the cost of system maintenance: when the cluster system is upgraded, it is necessary to update the users used by the platform;

[0004] 2. It will reduce data security: mixed use of developer accounts, no record of command operations, uncontrollable high-risk operations, sensitive data leakage, etc.;

[0005] 3. Unable to manage cluster resources: different departments or different project teams will have resource competition problems, resulting in cluster tasks not running normally

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