Uniform data caching method and device based on Redis cluster, terminal and storage medium

Abstract

The invention provides a uniform data caching method based on a Redis cluster. The uniform data caching method comprises the following steps: initializing a set array; associating the index of the setarray with a storage node in a Redis cluster; when a caching instruction of data is received, calculating a hash value of the data; performing logic AND operation on the hash value and the maximum int type data; performing complementation operation on a result after the logic AND operation and the length of the set array to obtain a key value; matching a target index which is the same as the keyvalue from the set array; and storing the data corresponding to the key value in the storage node corresponding to the target index. The invention further provides a uniform data caching device basedon the Redis cluster, a terminal and a storage medium. According to the method, the data can be uniformly cached in the Redis cluster, so that the situation that a memory of one storage node in the Redis cluster is used up and the memories of other storage nodes are idle is avoided.

Description

technical field [0001] The invention relates to the technical field of data caching, in particular to a Redis cluster-based uniform data caching method, device, terminal and storage medium. Background technique [0002] With the rapid development of information technology, the amount of information in modern society is growing explosively. In the era of big data, the volume of application data is increasing rapidly. The traditional data architecture can no longer meet the high concurrency, high availability, and high-quality response time of large-scale Internet applications. . As a result, a series of solutions such as NoSQL have emerged, among which remote data service (Remote Dictionary Server, Redis), as one of the high-quality choices, has gradually been adopted by major enterprises as a supplement to their data architecture. [0003] Redis cluster cache data is through the consistent hash algorithm for each key value to obtain the node where the data should be placed....

AI Technical Summary

Problems solved by technology

However, in this way, when a key has a large amount of data, a large amount of data of the same key is stored in a master node, the memory of the master node is used up, and the memory of other master nodes is still a lot of free

The master node whose memory has been used up exceeds its own capacity, causing performance degradation or even data unavailability. At the same time, there are still a large number of idle master nodes in the memory that cannot serve other data requests, resulting in waste of resources.

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