File caching method and device, electronic equipment and storage medium

Abstract

The invention relates to the field of data processing, and discloses a file caching method which comprises the following steps: receiving a server access request transmitted by a client, and verifying the server access request; when the server access request passes verification, querying a server file corresponding to the server access request; carrying out storage fragmentation on a server file to generate a plurality of sub-fragmented files, and storing the sub-fragmented files into a cache node space of a server; transmitting the sub-fragment files of the cache node space to a client, and combining the sub-fragment files to obtain a client file; identifying whether the client file is consistent with the server file; if not, re-querying the server file corresponding to the server access request; and if the client file is consistent with the server file, storing the client file in a cache of the client. In addition, the invention also relates to a block chain technology, and the server file can be stored in a block chain. According to the invention, the caching efficiency of the large file can be improved.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a file caching method, device, electronic equipment and computer-readable storage medium. Background technique [0002] File cache usually stores the content of web pages visited by users in the local client cache or browser cache, which is used to facilitate users to directly query from the local client cache or browser cache when they visit the webpage next time, and improve the webpage response speed. At present, for large files, the size ranges from dozens of M to several G. When faced with large file caching, the following problems are likely to exist: 1. There are requirements for storage space, and it is no longer possible to use redis Caching scheme; 2. There are requirements for traffic. During the caching process of large files, the transmission is prone to interruption, and when the transmission is interrupted, it needs to be retransmitted, which is a great waste...

AI Technical Summary

Problems solved by technology

At present, for large files, the size ranges from dozens of M to several G. When faced with large file caching, the following problems are likely to exist: 1. There are requirements for storage space, and it is no longer possible to use redis and the like Caching scheme; 2. There are requirements for traffic. During the caching process of large files, the transmission is prone to interruption, and when the transmission is interrupted, it needs to be retransmitted, which is a great waste of traffic and consumes more time.

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