Data writing method and device

Abstract

The invention provides a data writing method and device. The method comprises the steps that a main node stores N sub-logs of a log locally, the log is generated according to an atomic writing request, the atomic writing request comprises N sub-writes, information of the sub-writes is recorded in the sub-logs, and N is a positive integer larger than 0; the main node backs up the N sub-logs into astandby node; and under the condition that the main node determines that all the N sub-logs are stored in the standby node, the logs are marked as valid. According to the technical scheme provided bythe invention, the atomicity of a group of write requests can be ensured through a log mechanism in a data backup process, and the atomicity is prevented from being realized through a file system semantic lock in the prior art, so that the process complexity and the system overhead can be reduced.

Description

technical field [0001] The present application relates to the field of storage, and more specifically, to a method and device for writing data. Background technique [0002] In the storage system, in order to prevent data loss caused by hardware failure of the operating system or failure of the storage medium, the data stored locally can be backed up to the standby node. The file system is a software mechanism for managing and storing file information in the operating system. It is mainly responsible for creating files for users, storing, reading, and dumping files, and controlling file access. In the process of providing data backup storage services, the file system mainly uses atomic operations (that is, it is necessary to ensure that a group of write requests all succeed or fail) to prevent data inconsistency or damage caused by power failure or system crash. For example, network attached storage (network attached storage, NAS) may be a file system that provides high eff...

AI Technical Summary

Problems solved by technology

However, adding semantic locks to ensure the atomic operation of write requests will complicate the system process. At the same time, after a group of write requests are all written and backed up successfully, semantic locks need to be opened, which increases system overhead.

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