Message queue processing method, thread pool parameter adjusting method, device and equipment

Abstract

The embodiment of the invention discloses a message queue processing method, a thread pool parameter adjusting method, a device and equipment. A specific embodiment of the method comprises the steps of adjusting thread pool parameters of a thread pool corresponding to a target task message queue in response to determining that the thread pool parameters of a local cache are changed; in response to determining that the task messages in the target task message queue are successfully consumed, deleting backup messages matched with the successfully consumed task messages from a backup message queue used for backing up the task messages in the target task message queue; and in response to determining that the task messages in the target task message queue fail to consume, adding the task messages failing to consume as failure messages into a failure message queue. According to the embodiment, the effects of effectively avoiding message loss and ensuring data consistency and message queue reliability are simply and conveniently achieved.

Description

technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, and in particular to a message queue processing method, a thread pool parameter adjustment method, device and equipment. Background technique [0002] When there are too many messages, the message queue can be used to perform traffic peak-shaving processing, decoupling processing, and asynchronous processing on the messages, so as to achieve the effect of improving server processing performance. Currently, the commonly used method is to implement the message queue function through message middleware (for example, ActiveMQ, RabbitMQ, etc.) or an array. [0003] However, when the above method is used to realize the function of the message queue, the following technical problems often exist: [0004] First, implementing the function of message queue through message middleware will have the problems of complex design, high technical requirements, and difficulty in deploy...

AI Technical Summary

Problems solved by technology

[0004] First, implementing the function of message queue through message middleware will have the problems of complex design, high technical requirements, and difficulty in deployment and maintenance; realizing the function of message queue through arrays, when messages are lost, there is no correct Data is backed up or it is difficult to go back and restore lost data, resulting in data inconsistency and reduced message queue reliability

[0005] Second, when there are a large number of message requests, it is difficult to adjust the amount of message processing in real time and dynamically. In the case of low server performance, it is very likely to cause server downtime, which seriously affects the normal execution of business.

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