Recover method applied to large quantity of small files

Abstract

The invention relates to a data recovery data and a device. The device comprises a backup set data management module, a backup set data acquisition module, a searching module and a backup set data recovery module, wherein the backup set data management module is set into a mode that a copy of backup set data corresponds to unique backup set ID (Identify) information, and the copy of backup set data represents a set of all file data obtained by backing up at a time; the backup set data acquisition module is set into a mode that corresponding backup set data is acquired according to the backup set ID information; the searching module is set into a mode that file data in the acquired backup set data is contrasted with file data which is selected by a user and required to be recovered, and file data required to be recovered is researched; and the backup set data recovery module is set into a mode that the file data required to be recovered is acquired from the backup set data acquired by the backup set data acquisition module so as to recover the file data required to be recovered. According to the technical scheme of the invention, the speed of data recovery is improved.

Description

technical field [0001] The invention relates to the computer field, in particular to a fast recovery method applied to a large number of small files. Background technique [0002] With the advent of the information age, data has increasingly become central to the proper functioning of society. For an enterprise, data is the key to its survival and development. Users and enterprises in various industries rely more and more on network applications and data information, making sudden disasters such as fires, floods, earthquakes or terrorist incidents more difficult. Data and business production across the enterprise can have a major impact. Therefore, how to ensure that enterprise data is not lost when a disaster occurs, and how to ensure that system services resume operation as soon as possible has become a topic of concern. The speed of data recovery directly affects whether the business of the enterprise can run normally, and becomes the recovery time objective (RTO, in ti...

AI Technical Summary

Problems solved by technology

The speed of data recovery directly affects whether the business of the enterprise can run normally, and becomes the recovery time objective (RTO, in time, that is, the time required for the information system or business function to be restored after the disaster occurs) and the recovery point. The key factor of the target (RPO, in time, that is, when a disaster occurs, the system and data must be restored to the point in time), especially for the recovery of a large number of small file data, the traditional file recovery method for each file Recovery requires several network communications and io operations. Due to the large number of files and the small data of each file, a lot of time is wasted on network communications and io operations, which greatly reduces the efficiency of recovery and leads to a long recovery time. , the system service cannot operate normally, increasing the loss of users

Images