Task processing method, task processing device, computer readable storage medium and computer equipment

Abstract

The invention relates to big data and provides a task processing method, a task processing device, a computer readable storage medium and computer equipment. The method comprises the following steps of: forming a substrate; receiving a target task processing request sent by a terminal, wherein the target task processing request carries a target task type; obtaining a task mapping relationship table, determining a target preset waiting value corresponding to the target task type in a task mapping relation table, calculating to obtain a preset task accommodating value according to the target preset waiting value and the unit processing value of the task processing area; obtaining the number of candidate tasks in the task queue, and when the number of the candidate tasks exceeds a preset taskaccommodation value, placing a target task corresponding to the target task processing request in a task isolation region, generating a task progress message corresponding to the target task in the task processing region, and sending the task progress message to the terminal. Therefore, the stability of the server during task processing can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a task processing method, device, computer-readable storage medium and computer equipment. Background technique [0002] With the rapid development of computer technology, the server needs to process a large number of various types of tasks every day, but the server also has a certain task capacity when processing tasks. When the number of tasks to be processed is greater than the task capacity of the server, the server Prone to crashes, downtime, etc. [0003] The traditional way to prevent server downtime due to excessive concurrent tasks is to use multiple distributed hosts to disperse the processing tasks, and distribute tasks through load balancing servers. However, if there are too many concurrent tasks in a short period of time, it will still Cause downtime of each load balancing server, and each load balancing server is vulnerable to attack, resulting in poor...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of computer technology, the server needs to process a large number of various types of tasks every day, but the server also has a certain task capacity when processing tasks. When the number of tasks to be processed is greater than the task capacity of the server, the server Prone to crashes, downtime, etc.

[0003] The traditional way to prevent server downtime caused by excessive concurrent tasks is to use multiple distributed hosts to disperse the processing tasks and distribute tasks through load balancing servers. However, if there are too many concurrent tasks in a short period of time, the Cause the downtime of each load balancing server, and each load balancing server is vulnerable to attack, resulting in poor stability of the server when processing tasks

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