Task execution method and device, equipment and storage medium

Abstract

The invention discloses a task execution method and device, equipment and a storage medium. The method comprises the steps that a main node generates at least one task flow node according to a configuration file, and the task flow node comprises at least two tasks and a dependency relationship between the at least two tasks; the main node sequentially executes the at least two tasks according to the at least two tasks and the dependency relationship between the at least two tasks, by means of the technical scheme, service logic and task configuration can be decoupled, the development and maintenance cost is reduced, it is avoided that service codes are changed due to modification of the task execution process. The execution sequence and the serial-parallel relation among multiple tasks can be self-defined, and meanwhile flexible parameter configuration is supported.

Description

technical field [0001] Embodiments of the present invention relate to the field of computer technology, and in particular, to a task execution method, device, device, and storage medium. Background technique [0002] The existing timing scheduling framework Quartz does not support task scheduling and process scheduling, does not support defining the execution order and serial-parallel relationship between multiple tasks, lacks a unified task process scheduling model, and can only solidify the task execution process model through hard coding. Task configuration and scheduler are highly coupled, with large development and maintenance costs. In addition, although the framework quartz supports distributed mode, a single task can only run on a single node, and does not support parallel execution of tasks on multiple nodes. Contents of the invention [0003] Embodiments of the present invention provide a task execution method, device, device, and storage medium to realize the d...

AI Technical Summary

Problems solved by technology

[0002] The existing timing scheduling framework Quartz does not support task scheduling and process scheduling, does not support defining the execution order and serial-parallel relationship between multiple tasks, lacks a unified task process scheduling model, and can only solidify the task execution process model through hard coding. Task configuration and scheduler are highly coupled, with large development and maintenance costs

In addition, although the framework quartz supports distributed mode, a single task can only run on a single node, and does not support parallel execution of tasks on multiple nodes.

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