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Task scheduling method and device, computer equipment and storage medium

A task scheduling and computer technology, applied in the field of big data, can solve the problem that tasks with multiple scheduling times cannot be accurately scheduled and executed, and achieve the effect of avoiding execution conflicts, improving execution efficiency, and improving execution accuracy.

Pending Publication Date: 2021-04-09
PINGAN PUHUI ENTERPRISE MANAGEMENT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present application is to propose a task scheduling method, device, computer equipment, and storage medium to solve the technical problem that tasks with multiple scheduling times cannot be accurately scheduled and executed

Method used

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  • Task scheduling method and device, computer equipment and storage medium
  • Task scheduling method and device, computer equipment and storage medium
  • Task scheduling method and device, computer equipment and storage medium

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Embodiment Construction

[0040] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the application; the terms used herein in the description of the application are only to describe specific embodiments The purpose is not to limit the present application; the terms "comprising" and "having" and any variations thereof in the specification and claims of the present application and the description of the above drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.

[0041] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrenc...

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Abstract

The embodiment of the invention belongs to the field of big data, and relates to a task scheduling method, which comprises the steps of obtaining dependency relationship and scheduling moments of all to-be-executed tasks, each to-be-executed task at least comprising one scheduling moment; according to the scheduling moments and the dependency relationship, constructing multiple layers of to-be-processed job streams of the to-be-executed task, and storing all the to-be-processed job streams in a preset database; and when a task execution instruction is received, calling a coordinator corresponding to the task execution instruction, and calling a target job stream corresponding to the task execution instruction from the to-be-processed job stream to an execution machine based on the coordinator, so that the execution machine executes the target job stream. The invention further provides a task scheduling device, computer equipment and a storage medium. In addition, the invention also relates to a blockchain technology, and the to-be-processed job stream can be stored in the blockchain. According to the invention, accurate scheduling and execution of multi-period tasks is realized.

Description

technical field [0001] The present application relates to the technical field of big data, and in particular to a task scheduling method, device, computer equipment and storage medium. Background technique [0002] Currently, it is often necessary to rely on scheduling tools in the process of task execution and scheduling. A task scheduling tool usually constructs a DAG (Directed Acyclic Graph) based on dependent task relationships, and a complete job can be defined through the scheduling tool. All tasks in the same DAG have the same scheduling time. The scheduling tool will completely record the dependencies, conditional branches, etc. between each job in the entire workflow in the DAG, and can record the running status. Through DAG, the dependencies between jobs can be accurately obtained. [0003] When a DAG meets the scheduling time of the task, or is triggered externally, a DAG Run will be generated, but a task can have multiple scheduling times, and even multiple di...

Claims

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Application Information

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IPC IPC(8): G06F9/48
CPCG06F9/4881
Inventor 谢双
Owner PINGAN PUHUI ENTERPRISE MANAGEMENT CO LTD
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