Configuration checking method and device for big data cluster component and computing equipment

Abstract

The invention discloses a configuration checking method and device for a big data cluster component and computing equipment and relates to the technical field of computers. The invention is used for reducing the workload of configuration personnel in the existing big data cluster component configuration checking and improving the configuration checking efficiency and the configuration checking accuracy. The method comprises the following steps: obtaining configuration information of a main node of a big data cluster, and logging in the main node according to the configuration information; obtaining a starting parameter of a master node big data component corresponding to the master node and address IP information of a slave node; acquiring a configuration file of the master node big data component according to the starting parameter, and performing configuration check on the master node big data component based on the configuration file; and after the configuration check of the masternode big data component is completed, automatically jumping to the first node by utilizing a host jump technology based on the IP information of the slave node, and after obtaining a configuration file of the slave node big data component corresponding to the first node, carrying out configuration check on the slave node big data component.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a configuration verification method, device and computing equipment of a large data cluster component. Background technique [0002] With the rapid growth of the scale and number of big data platforms, the risk of security configuration of big data components has also been paid more and more attention. Currently, in the configuration verification of big data components, configuration personnel are required to configure the processes in the big data components to be verified and the installation paths of the processes. However, since the big data platform has a large number of nodes, each node corresponds to many big data components, and the configuration file paths of the big data components are also different. Moreover, for big data components of big data platforms (also known as big data clusters) such as cloudera big data platform and Hortonworks big data platform (...

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Problems solved by technology

Moreover, for big data components of big data platforms (also known as big data clusters) such as cloudera big data platform and Hortonworks big data platform (HortonworksDataPlatform, HDP), the configuration file path may change dynamically. , there may be changes in the configuration file path, and it takes a lot of time to reconfigure the configuration file path of each big data component, which brings a lot of configuration difficulties to the configuration inspectors

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