Repairing method of non-high-availability component, big data cluster and container service platform

Abstract

The embodiment of the invention relates to a repair method of a non-high-availability component, a big data cluster, a container service platform, a system and a storage medium. The method comprises the following steps: the big data cluster synchronizes the event information to the container service platform; and in response to a fault event of the non-HA component, obtains a repair mirror image address corresponding to the repair non-HA component from the container service platform, obtains a repair mirror image file from the container service platform according to the repair mirror image address, and carries out repair processing on the non-HA component according to the repair mirror image file. The technical scheme provided by the embodiment of the invention is adopted; manual operationbased on operation and maintenance personnel in the prior art is avoided; response time of different faults cannot be guaranteed.Therefore, the technical problems that the influence of the componentfault on the service cannot be estimated and the service provided to the outside is influenced finally are solved, and the technical effect that whether the non-HA component has the fault or not is judged quickly and accurately, so that the non-HA component with the fault is repaired efficiently and accurately is achieved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of big data, and in particular to a repair method for non-high availability components, a big data cluster, a container service platform, a system, and a storage medium. Background technique [0002] With the continuous development of Internet technology, big data platforms have made new developments and breakthroughs. [0003] In the existing technology, the scale of the management nodes of the big data platform may be hundreds or even thousands. Components in a big data cluster can be divided into high availability components (HA components) and non-high availability components (non-HA components) according to whether they are highly available. When a component in the big data cluster fails, the fault information is collected by the monitoring module and an alarm is triggered, and the work order is triggered and pushed to the front-line operation and maintenance personnel for fau...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a repair method for non-high-availability components, a large data cluster, a container service platform, a system, and a storage medium to solve the above-mentioned defects in the prior art. There are manual operations based on operation and maintenance personnel, and the response time for different faults cannot be guaranteed. Therefore, the impact of component failures on business cannot be estimated, and ultimately affect the services provided to the outside world.

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