A cache implementation method of interface call

Abstract

This application discloses a cache implementation method for interface calls, which effectively combines centralized cache and stand-alone cache, uses the interface version number information stored in the stand-alone Ehcache cache, and monitors the timeliness of interface information in the stand-alone memory cache , and when the interface is called, the interface call return result is preferentially obtained from the local stand-alone cache. In this way, the local stand-alone cache can be fully utilized to obtain the return result of the interface call when the interface update frequency is low. In the case of high interface frequency The centralized cache can be used to obtain the return result of the interface call, which can not only solve the data consistency problem of the stand-alone cache, but also make full use of the stand-alone cache, effectively reduce the pressure of the centralized cache, reduce network transmission overhead, and avoid waste of system resources.

Description

technical field [0001] The invention relates to caching technology, in particular to a caching implementation method of interface calling. Background technique [0002] At present, in large-scale, high-concurrency and high-load WEB systems in the Internet and other fields, caching technology is generally used to improve performance. Without the support of caching technology, it is impossible to solve the large concurrency problem of the WEB system. Even if it is solved, it will cost a lot of money. Therefore, an excellent caching solution is very important for large-scale high-concurrency systems. [0003] According to different system scales, there are two existing caching technologies, one is stand-alone caching and the other is centralized caching. Stand-alone caching means that the WEB application and the cache are the same application, which is the simplest caching strategy. HashMap and List used in Java-based programs can all be counted as the category of caching. Ce...

AI Technical Summary

Problems solved by technology

However, in the centralized caching solution, all calls must be implemented by calling the cache server through the network. In this way, in the case of a particularly large number of calls, it will cause network congestion and even performance problems of the cache server itself.

At the same time, for interfaces that are not updated in real time (that is, the update frequency is low), such as basic data interfaces, etc., this kind of overhead is unnecessary, so it will cause waste of system resources

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