Big data service deployment method and device, equipment and medium

A big data technology to be deployed, applied in the field of big data, can solve the problems of cumbersome deployment process, error-prone, time-consuming and labor-intensive, etc., and achieve the effect of simple, efficient and error-free deployment process

Pending Publication Date: 2021-08-27
SANGFOR TECH INC
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the deployment of big data services is mainly manual deployment, but manual deployment relies on the deployment capabilities of the deployment personnel, req

Method used

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[0045]Next, the technical scheme in the present application embodiment will be described in the present application, and it is understood that the described embodiments are intended to be described herein, not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative labor premises, all of the present application protected.

[0046] At present, the big data service deployment is mainly manually deployed, but manually deploys the deployment capabilities of deployment implementors, requiring deployment of implementing personnel to have relevant technical foundations, and the entire deployment process is cumbersome, and it is easy to make an error. In view of this, the present application proposes a method to deploy large data services, data services can be large automated deployment, deployment is simple and efficient, and less error prone, and the

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Abstract

The invention discloses a big data service deployment method and device, equipment and a medium. The method comprises the following steps: obtaining deployment information which comprises service information; the cluster environment of the cluster is configured, and the cluster environment comprises any one or a combination of any several of log backup and regular clearing, database backup and regular clearing, time synchronization between nodes in the cluster, secret-free mutual trust between the nodes, kernel parameters of the nodes and a firewall white list of the cluster; arranging the big data service to be deployed through Ambari according to the service information and the node information of the cluster, and generating Ambari blue; and registering the Ambari blue, and deploying the big data service to be deployed on the first node and a second node in the cluster. In this way, automatic deployment of the big data service can be carried out, deployment is simple and efficient, errors are not prone to occurring, and convenience is provided for cluster operation and maintenance.

Description

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Claims

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Application Information

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Owner SANGFOR TECH INC
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