Redis-based message processing method, device and system, server and medium

Abstract

The embodiment of the invention discloses a message processing method, device and system based on Redis, a server and a medium. A specific embodiment of the method comprises the following steps: in response to a received delay message task, determining a delay queue set receiving the delay message task as a target delay queue set, the target delay queue set comprises a delay queue set which is selected from at least two preset delay queue sets and matched with the delay message task; selecting a target process from a process set matched with the target delay queue set; querying a to-be-processed delay message task in the target delay queue through the target process; and sending the delay message task to be processed to a preset message consumption queue. According to the embodiment, the information accumulation in the delay queue set is reduced, the obvious reduction of the message processing efficiency is avoided, and the efficiency and the reliability of the whole system are improved.

Description

technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, and in particular to a Redis-based message processing method, device, system, server and medium. Background technique [0002] With the rapid development of Internet technology, the scale of data is also increasing. Correspondingly, new challenges are raised to the processing efficiency and usability of the database. [0003] In the prior art, the cache database Redis provides a set data structure, and the elements in the set are queried periodically (for example, every second) through the Event process for consumption. However, with the continuous development of business, the number of messages entering the queue gradually increases, and the amount of concurrency also increases accordingly. It often leads to the problem of data accumulation after the collection corresponding to a key (KEY) stores more messages, which in turn affects the speed of enqueue operations ...

AI Technical Summary

Problems solved by technology

It often leads to the problem of data accumulation after the collection corresponding to a key (KEY) stores more messages, which in turn affects the speed of enqueue operations and query operations; and because the collection corresponds to the Event process one by one, there is a single point in the Event process Fault issues, unable to guarantee high availability of the entire system

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