Big data platform cluster disaster recovery method, system and computer-readable storage medium

Abstract

The present invention provides a large data platform cluster disaster recovery method, including creating a master virtual machine and a slave virtual machine on a host machine, performing the same system environment configuration and user configuration on the master virtual machine and the slave virtual machine, and sending check information as well For the HA switching manager, the IPs of the master virtual machine and the slave virtual machine adopt the IP of the host machine, and the port of the master virtual machine is mapped to the port of the host machine; the slave virtual machine does not perform port mapping; it is received in real time through the HA switching manager The check package of the primary virtual machine and the secondary virtual machine, and determine whether the check packet of the primary virtual machine has timed out. If so, start the mirror container, switch the secondary virtual machine to the new primary virtual machine, and set the port Mapped to the host to replace the port mapping of the original primary virtual machine node. The present invention also provides a large data platform cluster disaster recovery system and a computer-readable storage medium, so as to realize fast switching effect of large data nodes without service interruption and improve user experience.

Description

technical field [0001] The present invention relates to big data technology, in particular to a big data platform cluster disaster recovery method, system and computer-readable storage medium. Background technique [0002] Traditional big data cluster server disaster recovery backup is based on physical machine HA backup. In case of failure, it is very difficult to replace the fault. It is also a very complicated task to eliminate the faulty machine, such as the replacement of IP and other addresses. A bunch of scripts need to be executed, and the switching takes a long time, causing business interruption during the period. Contents of the invention [0003] One of the technical problems to be solved by the present invention is to provide a large data platform cluster disaster recovery method to realize fast switching of faulty nodes without business data migration. [0004] One of the technical problems to be solved in the present invention is achieved in this way: a met...

AI Technical Summary

Problems solved by technology

[0002] Traditional big data cluster server disaster recovery backup is based on physical machine HA backup. In case of failure, it is very difficult to replace the fault. It is also a very complicated task to eliminate the faulty machine, such as the replacement of IP and other addresses. A bunch of scripts need to be executed, and the switch takes a long time, causing business interruption during the period

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