Shulou(Shulou.com)06/01 Report--

In this issue, Xiaobian will bring you about how FastDFS solves data consistency problems. The article is rich in content and analyzes and narrates from a professional perspective. After reading this article, I hope you can gain something.

Ensuring data consistency is the biggest challenge facing distributed systems, especially to achieve strong data consistency. FastDFS as a distributed file system, how to solve data consistency? FastDFS is known for its simplicity and efficiency, its lightweight positioning and application scenarios determine that it does not adopt complex solutions. FastDFS therefore abandons strong consistency in favor of weak consistency and eventual consistency.

The file ID of FastDFS is generated by the server, which contains fields such as storage ID or IP address, file creation time, CRC32 check code, file size and random number. FastDFS file ID generation mechanism determines that files can be uploaded to any storage server without worrying about file name conflicts with files generated by other storage servers in the same group.

FastDFS Replication files are asynchronous for performance and simplicity, which ensures that the data is ultimately consistent.

FastDFS introduces appender as a file type to support file modification. FastDFS supports operations such as modifying and appending files of appender type. If you modify the same appender file on two storage servers (even if you modify it sequentially), you may have inconsistent data due to timing issues. To address this issue, FastDFS takes the approach that modifications to appender files and deletions of files can only be made on the source storage server.

FastDFS relies directly on the underlying file system to store and manage files. In the process of file replication, in order to avoid incomplete data read by the application, the storage server uses the method of writing temporary files first and renaming them after completion. In order to ensure data integrity and not overwrite the previous version of the data under abnormal circumstances, tracker server and storage server write important data files by writing temporary files first and then renaming them.

The above is how FastDFS shared by Xiaobian solves the problem of data consistency. If there is a similar doubt, please refer to the above analysis for understanding. If you want to know more about it, please pay attention to the industry information channel.

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