Cache read-write method and terminal

Abstract

The invention discloses a cache read-write method and a terminal. A read-write cache is arranged between a read-only cache and a common cache; in a reading scene, the read-write cache is inquired whenthe read-only cache does not inquire the corresponding data, the common cache is inquired when the read-write cache does not inquire the corresponding data, and the read-only cache and the read-writecache are respectively updated according to the data inquired in the common cache; and in a writing scene, the read-write cache is emptied after the common cache is updated successfully. The read-write cache is used as middleware; after the common cache is updated successfully, the read-write cache is firstly emptied, the read-write pressure under high concurrency can be effectively relieved whenthe read-write operation occurs at the same time, the method is different from the prior art that read-write waiting is caused due to the fact that data read-write is locked, read-write separation ofcache data can be achieved, and cache data read-write under a high concurrency scene is supported.

Description

technical field [0001] The invention relates to the technical field of caching, in particular to a method for caching reading and writing and a terminal. Background technique [0002] Usually, cache servers such as redis or memcache are used as the cache layer in the system to provide cache services in the form of clusters or single nodes. In most cases, the system also implements the function of data storage through local cache. When using local memory as a cache, fast reading and writing of data under high concurrency conditions can be achieved. But there is a new problem at this time, that is, when the data needs to be modified under high concurrency, it will cause frequent read and write conflicts in the memory data. [0003] At present, in order to avoid data inaccuracy caused by read-write conflicts, lock processing is usually performed when writing data, but this method will affect the read operation of data. Since it is executed synchronously and serially, when wri...

AI Technical Summary

Problems solved by technology

But there is a new problem at this time, that is, when the data needs to be modified under high concurrency, it will cause frequent read and write conflicts in the memory data

[0003] At present, in order to avoid data inaccuracy caused by read-write conflicts, lock processing is usually performed when writing data, but this method will affect the read operation of data. Since it is executed synchronously and serially, when writing After the data is locked, the process of reading the data will also wait. The data can only be read after waiting for the completion of the data writing. In the case of high concurrency, it will directly lead to thread freezes, program crashes or Serious consequences such as server downtime

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