Timed task processing method and device and computing equipment

Abstract

The invention discloses a timed task processing method and device and computing equipment. The method includes the steps that corresponding to a triggering instruction of a timed task, the timed task is divided into multiple subtasks based on the task information of the timed task; the multiple subtasks are allocated into multiple application examples in a distributed system so that the application examples can execute the subtasks allocated to the application examples.

Description

technical field [0001] The invention relates to the field of timing tasks, in particular to a timing task processing method, device and computing equipment. Background technique [0002] Timed task refers to the implementation scheme that can automatically trigger the running of the set program at the specified time point. When the complexity of the scheduled task exceeds a certain level, a single machine usually cannot meet the performance requirements of high concurrency, and it needs to be executed in parallel on multiple machines through distributed scheduling. [0003] The currently commonly used timed task solutions in the industry mainly include the following solutions. crontab, which comes with the Linux system, is easy to use, but it cannot implement distributed scheduling, and the time accuracy can only be down to minutes, so it cannot be monitored, and it cannot be processed after the task is unexpectedly interrupted, and there is a risk of a single point of fail...

AI Technical Summary

Problems solved by technology

crontab, which comes with the Linux system, is simple and easy to use, but it cannot realize distributed scheduling, and the time accuracy can only be down to minutes, so it cannot be monitored. It cannot be processed after the task is unexpectedly interrupted, and there is a risk of a single point of failure.

Java timer, the timer that comes with the Java language, the time accuracy is down to seconds, easy to use, the disadvantage is that it cannot be distributed, cannot be monitored, and cannot be processed after the task is unexpectedly interrupted, and there is a risk of a single point of failure

Quartz, a framework implemented by the Java language, has powerful functions, time accuracy to the second, supports distributed, and has processing strategies after unexpected interruptions. The disadvantage is that the distributed scheduling mechanism has limitations and does not provide more convenient visual management.

[0004] Among the above solutions, Quartz is the solution closest to the requirements, but it only supports a single task, and the tasks it schedules are independent and unrelated to the tasks.

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