Data caching method and device

Abstract

The invention provides a data caching method and device. The data caching method includes the steps of analyzing a client request received by a server database and determining a receiving rule of the client request; predicting and generating a group of data according to the receiving rule, wherein the generated data are data requested to be checked by a client within a first appointed time period in the future with time when the receiving rule is determined as the beginning; judging whether all generated data are stored in a data cache of a server, obtaining a part of data not stored in the data cache if the answer is negative and adding the data to the data cache. By the adoption of the data caching method, the data requested to be checked by the client can be recognized according to the receiving rule, data not needed by the client are eliminated in time, caching space is saved, the data can be cached more reasonably and effectively, and the problem that in the prior art, data cannot be wholly stored in an internal storage is solved.

Description

technical field [0001] The present invention relates to the technical field of data caching, in particular to a data caching method and device. Background technique [0002] In the prior art, in order to improve the performance of the application program, a data cache layer is added on the client side or the server, for example, the cache system can be added on the application program side or the database server. The application obtains data in advance from the database server and saves it in non-persistent storage. When the client sends a request, the application retrieves the data from the data cache and returns it to the client. With the development of information network technology, the memory of the server continues to increase, but the storage capacity of the disk is increasing at a faster rate. The inconsistency in the growth rate of the server's memory and disk storage capacity leads to a decrease in the ratio of memory capacity to disk capacity. Therefore, a more e...

AI Technical Summary

Problems solved by technology

Using these two data cache technologies can improve performance, but there are the following defects: first, when the application needs to retrieve a large amount of data, the data cache cannot save all the data in memory; second, if the data cache uses real-time filling mode , the first request consumes a lot of response time; third, if the data cache uses the pre-fill mode, the amount of cached data is too large, resulting in insufficient cache capacity in memory to store a large amount of cached data; fourth, if the data cache uses Pre-filled data mode, when the cache capacity is full and some data must be deleted, usually a simple FIFO (first in first out) strategy or LRU (least recently used) strategy is used to select which data in the cache will be cleared

However, the above strategy cannot guarantee that the most important data is stored in the data cache, therefore, there is no guarantee that the necessary data already exists in the data cache when the client request arrives

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