Metadata restoration method and device

Abstract

The embodiment of the invention provides a metadata restoration method and device, and relates to the field of data storage. The method and the device are applied in a storage array. The method comprises following steps of reading each second logic block through taking the size of each third logic block as a particle size when it is determined that first mapping data is not damaged and second mapping data is damaged; obtaining each logic block address LBA stored in particle data, thus obtaining an LBA range corresponding to the each segment of particle data; determining the identifiers of the third logic blocks corresponding to the LBA range of each segment of particle data through utilization of corresponding relationships between the LBA ranges and the identifiers of the third logic blocks; and generating metadata formed by the identifiers of the third logic blocks when the second mapping data does not contain the metadata containing the determined identifiers of the third logic blocks. According to the method and the device, the technical problems that violation operations cannot be completely eliminated through artificially enhanced training when the metadata is damaged, and much communication cost is increased, in the prior art, are solved; and the effect of improving the metadata restoration efficiency is realized.

Description

technical field [0001] The invention relates to the field of data storage, in particular to a method and device for restoring metadata. Background technique [0002] In a storage array, the data stored in a Logical Unit Number (LUN for short) can be divided into storage data and metadata, wherein the storage data is the data directly stored by the user; the metadata is the data used to manage and index the storage data. If the metadata is damaged, the corresponding stored data cannot be obtained. [0003] When using LUN to save data, it is often encountered that LUN metadata is damaged, such as: illegal operations on storage devices, storage software problems causing metadata damage, and any other scenarios that cause metadata damage (such as array disks) Random insertion, etc.). In order to avoid metadata damage as much as possible, it is necessary to strengthen the training and standardization of storage device operations, and avoid illegal operations by writing detailed...

AI Technical Summary

Problems solved by technology

Since the second logical block includes a plurality of third logical blocks, when the second logical block is read at the granularity of the third logical block, a piece of granular data read each time is the data corresponding to one third logical block, According to the LBA stored in each sector in the granular data, the range of the LBA in each piece of granular data can be determined, and the LBA range corresponds to the identifier of the third logical block corresponding to the piece of granular data, so in the second mapping When the metadata composed of the third logical block identifier in the data is damaged, the metadata in the second mapping data can be repaired according to the obtained identifier of the third logical block; when the metadata is damaged in the related art, by Artificially strengthened training cannot completely eliminate the technical problems of illegal operations and will increase a lot of communication costs, which has achieved the effect of improving the efficiency of metadata repair

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