Multi-entry data caching method and storage medium

Abstract

The invention discloses a multi-entry data caching method and a storage medium, and the method comprises the following steps: intercepting an original cache call request, and generating a secret key KEY according to the cache call request, with a generation rule of the secret key KEY being entry platform code + namespace + class name + namespace version number + identification code; and using thekey for carrying out data calling in a cache server; if data is obtained, returning the data, and if data is not hit, directly using the original cache calling request for obtaining the data in the database, and storing the data and the corresponding key KEY in the cache server. The data calling request is intercepted, and then an identification KEY and the corresponding data are created in the cache server, so that the request of calling the same data by multiple entrances for multiple times does not need to access the database for multiple times, the code invasion of the database is reduced,and the entrance data calling efficiency is further improved.

Description

technical field [0001] The invention relates to the field of data storage, in particular to a data caching method for accelerating multi-platform intercommunication. Background technique [0002] Caching technology is a common technology to speed up data reading, and it is often used in various software systems to help the system run faster. At present, there are many cache systems including mencached, redis, ehcache, etc. The access and use of various cache systems need to be implemented according to different requirements. Without a unified method, it is difficult to quickly access and manage the cache systems. [0003] At present, the widely used cache processing methods include directly calling the SDK of various cache systems for direct cache operations, and the method of using AOP for cache processing. Among them, the method based on AOP cache processing can reduce code intrusion, but it still cannot solve the problem. The problem of fast switching between various cac...

AI Technical Summary

Problems solved by technology

At present, there are many cache systems including mencached, redis, ehcache, etc. The access and use of various cache systems need to be implemented according to different requirements. Without a unified method, it is difficult to quickly access and manage the cache systems

[0003] At present, the widely used cache processing methods include directly calling the SDK of various cache systems for direct cache operations, and the method of using AOP for cache processing. Among them, the method based on AOP cache processing can reduce code intrusion, but it still cannot solve the problem. The problem of fast switching between various cache systems

[0004] There are still some cache service implementation methods in the existing technology, which divide the cache into private cache and public cache, and set a prefix for the cache key. At the same time, the framework provides a set of specifications to manage the cache key to prevent cache key conflicts , this method is mainly used to solve the permission access problem of public cache and private cache, and it cannot solve the fast switching of cache system and code intrusion. Among them, the original data is directly stored in the cache system, and there will be data abnormality.

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