Method and device for supervising big data clusters
A big data and cluster technology, applied in the field of big data, can solve the problems of no unified management interface, cumbersome process, and many user management cluster entrances
Active Publication Date: 2018-01-26
NEW H3C BIG DATA TECH CO LTD
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Problems solved by technology
When deploying a new cluster (such as a third-party big data cluster), it is difficult to integrate the new cluster into the existing big data management platform, resulting in many portals for user management clusters, cumbersome maintenance, and no unified management interface
[0006] In related technologies, for newly discovered and already deployed third-party big data clusters and open source hadoop big data clusters, it is usually incorporated into the existing big data management platform by manually modifying configuration files. This method relies on manual deployment operations throughout the process. And the process is cumbersome
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[0019] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
[0020] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.
[0021] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific implementation manners. It will be understood by those skilled in the art that the present disclosure may be practiced without some of the specific details. In some instances, methods, means, componen...
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The invention discloses a method and device for supervising big data clusters. The method comprises the steps of identifying node servers belonging to appointed big data clusters; deploying an agent server side on each node server of the appointed big data clusters; obtaining file paths and assembly configuration information of the node servers to which the agent server sides belong, wherein the file paths and assembly configuration information are collected by the agent server sides; generating assembly management modules for the appointed big data clusters; and sending the assembly management modules to a big data management server, thereby enabling the big data management server to supervise the appointed big data clusters based on the assembly management modules. According to the method and the device, the new big data clusters can be automatically supervised, the artificial deployment operation is greatly reduced, and a plurality of big data clusters are supervised compatibly through a uniform management interface.
Description
technical field [0001] The present disclosure relates to the field of big data, and in particular to a method and device for supervising a big data cluster. Background technique [0002] A big data cluster (Cluster) usually refers to the collection of multiple servers to provide the same service, which appears to the client as if there is only one server. A big data cluster may also be called a server cluster, and servers belonging to the big data cluster may be called nodes, node servers, or hosts. [0003] In the prior art, such as figure 1 The big data management platform shown plans, manages, and supervises the cluster. The big data management platform may include a big data management client 102 , a big data management server 104 and an agent server (Agent) 106 installed on each node server 108 . The big data management server 104 can control the node server 108 through the proxy server 106 installed on the node server and collect information, and then centrally disp...
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IPC IPC(8): H04L12/24H04L29/08
Inventor 杜鑫黄哲
Owner NEW H3C BIG DATA TECH CO LTD