An optimization method, device, equipment and medium for data recovery

Abstract

The invention discloses an optimization method for data recovery, which includes: setting target control parameters for controlling the recovery speed of the target file; wherein, the target file is specifically a file whose data volume is less than the specified data volume; The conditions required by the target period; wherein, the target period is specifically the recovery period used to restore the target file; determine whether the current recovery period meets the conditions; if so, adjust the current control parameters to the target control parameters to restore the target file; if not , to adjust the current control parameter to the specified control parameter preset by the user. It can be seen that the just-release disclosed in the present invention improves the recovery efficiency of the target file and the speed of the entire recovery process, and can better meet the needs of users. In addition, a device, device, and storage medium for optimizing data recovery provided by the present invention correspond to the above-mentioned method.

Description

technical field [0001] The present invention relates to the technical field of data storage, and in particular, to an optimization method, apparatus, device and medium for data recovery. Background technique [0002] With the rapid development of information technology, all walks of life are increasingly dependent on network applications and data information, and data storage technology is widely used in various fields. Therefore, it is particularly important to ensure the storage security of data information, and when the storage device fails or the data needs to be migrated, it becomes particularly important to restore the data safely and stably. During data recovery, the data recovery speed needs to be controlled in order to prevent the front-end performance from being affected due to excessive data recovery speed and occupation of too many resources. In the prior art, before data recovery is performed, the maximum amount of data and the maximum number of objects that ca...

AI Technical Summary

Problems solved by technology

[0003] During the storage process, files with a large amount of data will be split into storage objects of the default size, and some files are storage objects with a smaller amount of data than the default; for these files with a small amount of data, existing technology When restoring, the amount of data restored in the same period is very small, and the efficiency of the restoration process is low; and, since the data to be restored generally includes both the storage objects corresponding to files with a large amount of data, and the files corresponding to files with a small amount of data However, in the prior art, the user cannot set the priority and the corresponding recovery speed. During the entire recovery process, the data recovery will be performed according to the fixed recovery parameters corresponding to the priority, so that the recovery of these files is inefficient, resulting in The entire recovery process is slow, resulting in a lot of time wasted, unable to better meet the needs of users

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