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Method for expanding custom service in big data component management by using Ambari

A technology for component management and customization, applied in software deployment, program control devices, program loading/starting, etc.

Active Publication Date: 2016-11-09
BEIJING VRV SOFTWARE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the technical problem in the prior art is how to effectively and simply integrate custom services into Ambari

Method used

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  • Method for expanding custom service in big data component management by using Ambari
  • Method for expanding custom service in big data component management by using Ambari
  • Method for expanding custom service in big data component management by using Ambari

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Embodiment Construction

[0019] The following specific embodiments will further illustrate the method of Ambari in the present invention for extending custom services in big data component management. It should be understood that the content recorded in the following specific embodiments is only used to further clarify the above-mentioned aspects of the present invention method, and should not be construed as a limitation of the method of the present invention.

[0020] Reference attached figure 1 with 2 , which shows the flow and interface diagram of the method for extending custom services in big data component management using Ambari of the present invention. In this embodiment, the service component elasticsearch is taken as an example for illustration.

[0021] First, refer to the configuration of Ambari's default service, and select the stack version under the stack under the existing stack structure. The stack structure can be divided into three levels, namely stack, stack version, and corres...

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Abstract

The invention discloses a method for expanding custom service in big data component management by using Ambari. The method comprises the following steps: selecting next stack version from the stack of existing stack structure of Ambari; newly building a service component folder under the stack version; newly building and editing a service meta-information file under the service component folder; newly building a folder configuration and newly building and editing the configuration files of the service component in the folder; newly building a folder package and newly building folders scripts and templates in the folder package; newly building and editing the phython script used by the service component in the folder scripts; newly building and editing a service configuration file template used by the phython script in the folder templates; and restarting ambari-server and adding a service component to the web UI of ambari. Through the method disclosed by the invention, an aim of unified deployment and monitoring of new service components can be achieved.

Description

technical field [0001] The invention relates to the service integration application field of a big data platform, and in particular to a method for extending custom services in big data component management using Ambari. Background technique [0002] With the continuous development of the big data platform Hadoop, there are more and more components under the Hadoop platform. All the components are deployed separately which makes the management of the components very difficult. It is based on the need to manage Hadoop clusters that Apache developed the open source project Ambari. Ambari can install, manage, and monitor Hadoop clusters, making the management and use of Hadoop clusters easier. [0003] However, Ambari only supports the management of Hadoop clusters by default. In addition to the commonly used component servers of Hadoop, we often need to use other services, such as elasticsearch, apache drill, etc. Therefore, the technical problem in the prior art is how to ...

Claims

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Application Information

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IPC IPC(8): G06F9/445
CPCG06F8/61
Inventor 王澎唐兵兵胡尹
Owner BEIJING VRV SOFTWARE CO LTD
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