Backup recovery method and device of application system and computer readable storage medium

Abstract

The invention relates to a big data technology, and discloses a backup recovery method of an application system. The method comprises the following steps of dividing a distributed storage system of anapplication system into a plurality of block devices, sharing the block devices with the subsystems of the application system or the application hosts where the databases are located, controlling theapplication hosts to map the block devices into local block devices, and deploying the subsystems and the databases of the application system on the distributed block devices corresponding to the application hosts; performing a consistent snapshot on the block device group at a management end of the distributed storage system to form a consistent snapshot group; and recovering the data of the consistent snapshot group to an application host of the application system by adopting a cloning or rollback method according to the condition whether the application system is crashed or not. The invention further provides a backup recovery device of the application system and a computer readable storage medium. According to the invention, the quick and accurate backup and the data recovery of the database are realized.

Description

technical field [0001] The present invention relates to the field of big data technology, in particular to a method, device and computer-readable storage medium for an overall backup and restoration of an application system. Background technique [0002] With the development of the Internet, the current application system is getting bigger and bigger and more complex. In order to achieve high availability and high response speed, many large-scale systems are divided into several or even tens of hundreds of subsystems or microservices. Each subsystem Each microservice has one or more databases of the same type or different types. There are more or less correlations between these subsystems. Whether it is for each associated subsystem or the database under a certain subsystem, in the process of backup and recovery, users hope that all related subsystems and databases can maintain data consistency. [0003] Since each subsystem or database may be deployed on multiple differen...

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Problems solved by technology

[0003] Since each subsystem or database may be deployed on multiple different hosts, the traditional backup scheme backs up each host separately at the same time. Since the time of each host cannot be guaranteed to be absolutely uniform, coupled with factors such as caching, data consistency There is no guarantee, and in the recovery process, each subsystem needs to be recovered separately. In a large-scale application, a system may involve hundreds or thousands of hosts. This is a heavy workload, low efficiency and error-prone

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