Task processing method and device, equipment and storage medium

Abstract

The invention provides a task processing method and device, equipment and a storage medium, and the task processing method comprises the steps: splitting a to-be-processed task into a plurality of sub-tasks; allocating a computing resource unit for the sub-task, so that the computing resource unit executes the allocated sub-task; marking execution results of the sub-tasks through a message queue; in response to the execution result of the subtasks, executing the subtasks again, wherein the execution result of the sub-tasks is execution failure; and in response to successful execution of the plurality of sub-tasks of the to-be-processed task, combining outputs of the plurality of sub-tasks to obtain execution output of the to-be-processed task. Task processing and execution modes are optimized, so that the task execution efficiency and the computing resources utilization rate are improved.

Description

technical field [0001] The present invention relates to the field of computer applications, in particular to a task processing method, device, equipment and storage medium. Background technique [0002] At present, in the task processing of e-commerce platforms, especially in scenarios such as logistics services, due to the low efficiency of executing a single task alone, it may lead to long task processing time and long waiting time for users. At the same time, when the server encounters external failures, network jitter and other factors, it will further affect the execution of the task, and may even need to be re-executed due to task timeout or task failure. When the task is re-executed, data without problems will also be run repeatedly, reducing the efficiency of task execution. In addition, when the application where the task is located is restarted, the execution of the task will stop, but cannot be terminated, which may cause errors in task execution. [0003] It ca...

AI Technical Summary

Problems solved by technology

[0002] At present, in the task processing of e-commerce platforms, especially in logistics service scenarios, due to the low efficiency of executing a single task alone, it may lead to long task processing time and long waiting time for users.

At the same time, when the server encounters external failures, network jitter and other factors, it will further affect the execution of the task, and may even need to be re-executed due to task timeout or task failure

When the task is re-executed, the data without problems will also be run repeatedly, reducing the efficiency of task execution

In addition, when the application where the task is located is restarted, the task will stop executing, but cannot terminate execution, which may cause task execution errors

[0003] It can be seen that the current task execution method may have low task execution efficiency and low utilization of computing resources. At the same time, when a task is abnormal, there are too many invalid steps to be repeated, which further leads to the waste of computing resources.

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