Distributed timing task management method and system

Abstract

The embodiment of the invention discloses a distributed timing task management method and a system. The method comprises: sending a timing task to an application container engine so that the application container engine sends a registration request for registering the timing task to an application coordination server; registering the timing task to a service node of the application coordination server; obtaining real-time status of the timing task and real-time information inside the application container engine from the application coordinating server; writing the real-time status of the timed task and the real-time information inside the application container engine into the database; developing disaster recovery strategies based on all the history in the database. By monitoring the real-time status of the task and the internal running situation of the application container engine, combining with the task history record, the method can dynamically modify the task execution time, issue the execution command of the task, make the task management more flexible, complete the customization of the disaster recovery strategy, effectively reduce the service risk, and truly achieve the closed loop of the task scheduling management.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a distributed timing task management method, a task manager, an application program coordination server, and a distributed timing task management system. Background technique [0002] The current distributed task management system usually has a task publishing system, a task distribution system, and a task execution system. The three systems cooperate to achieve the purpose of task management and scheduling. The system is too redundant and complex, and newly added tasks need to be manually configured; once a task is released, the execution time cannot be dynamically changed. If the task execution time or plan is changed, the service needs to be stopped and re-released after modification; and there is no task execution history, lack of disaster recovery Strategy cannot reach the closed loop of the overall management of task scheduling, so once a problem occurs, it will c...

AI Technical Summary

Problems solved by technology

The system is too redundant and complex, and newly added tasks need to be manually configured; once a task is released, the execution time cannot be dynamically changed. If the task execution time or plan is changed, the service needs to be stopped and re-released after modification; and there is no task execution history, lack of disaster recovery strategy, it is impossible to achieve the closed loop of the overall management of task scheduling, so that once a problem occurs, it will cause problems such as untimely alarm and incomplete business execution

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