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# Dependent Node |
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# Dependent |
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- Dependent nodes are **dependency check nodes**. For example, process A depends on the successful execution of process B from yesterday, and the dependent node will check whether process B run successful yesterday. |
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## Overview |
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> Drag from the toolbar ![PNG](https://analysys.github.io/easyscheduler_docs_cn/images/toolbar_DEPENDENT.png) task node to the canvas, as shown in the figure below: |
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Dependent nodes are **dependency check nodes**. For example, process A depends on the successful execution of process B from yesterday, and the dependent node will check whether process B run successful yesterday. |
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<p align="center"> |
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<img src="/img/dependent-nodes-en.png" width="80%" /> |
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</p> |
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> The dependent node provides a logical judgment function, such as checking whether the B process was successful yesterday, or whether the C process was executed successfully. |
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## Create Task |
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<p align="center"> |
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<img src="/img/depend-node-en.png" width="80%" /> |
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</p> |
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- Click `Project -> Management-Project -> Name-Workflow Definition`, and click the `Create Workflow` button to enter the DAG editing page. |
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- Drag from the toolbar <img src="/img/tasks/icons/dependent.png" width="15"/> task node to canvas. |
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> For example, process A is a weekly report task, processes B and C are daily tasks, and task A requires tasks B and C to be successfully executed every day of the last week, as shown in the figure: |
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## Task Parameter |
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<p align="center"> |
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<img src="/img/depend-node1-en.png" width="80%" /> |
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</p> |
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- **Node name**: The node name in a workflow definition is unique. |
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- **Run flag**: Identifies whether this node schedules normally, if it does not need to execute, select the `prohibition execution`. |
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- **Descriptive information**: Describe the function of the node. |
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- **Task priority**: When the number of worker threads is insufficient, execute in the order of priority from high to low, and tasks with the same priority will execute in a first-in first-out order. |
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- **Worker grouping**: Assign tasks to the machines of the worker group to execute. If `Default` is selected, randomly select a worker machine for execution. |
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- **Environment Name**: Configure the environment name in which run the script. |
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- **Times of failed retry attempts**: The number of times the task failed to resubmit. |
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- **Failed retry interval**: The time interval (unit minute) for resubmitting the task after a failed task. |
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- **Delayed execution time**: The time (unit minute) that a task delays in execution. |
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> If the weekly report A also needs to be executed successfully last Tuesday: |
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## Examples |
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<p align="center"> |
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<img src="/img/depend-node3-en.png" width="80%" /> |
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</p> |
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The Dependent node provides a logical judgment function, which can detect the execution of the dependent node according to the logic. |
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|
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For example, process A is a weekly task, processes B and C are daily tasks, and task A requires tasks B and C to be successfully executed every day of the last week. |
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![dependent_task01](/img/tasks/demo/dependent_task01.png) |
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And another example is that process A is a weekly report task, processes B and C are daily tasks, and task A requires tasks B or C to be successfully executed every day of the last week: |
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![dependent_task02](/img/tasks/demo/dependent_task02.png) |
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If the weekly report A also needs to be executed successfully last Tuesday: |
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![dependent_task03](/img/tasks/demo/dependent_task03.png) |
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# 依赖节点 |
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# Dependent 节点 |
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- 依赖节点,就是**依赖检查节点**。比如A流程依赖昨天的B流程执行成功,依赖节点会去检查B流程在昨天是否有执行成功的实例。 |
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## 综述 |
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> 拖动工具栏中的![PNG](https://analysys.github.io/easyscheduler_docs_cn/images/toolbar_DEPENDENT.png)任务节点到画板中,如下图所示: |
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Dependent 节点,就是**依赖检查节点**。比如 A 流程依赖昨天的 B 流程执行成功,依赖节点会去检查 B 流程在昨天是否有执行成功的实例。 |
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|
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<p align="center"> |
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<img src="/img/dependent_edit.png" width="80%" /> |
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</p> |
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## 创建任务 |
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> 依赖节点提供了逻辑判断功能,比如检查昨天的B流程是否成功,或者C流程是否执行成功。 |
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- 点击项目管理 -> 项目名称 -> 工作流定义,点击“创建工作流”按钮,进入 DAG 编辑页面; |
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- 拖动工具栏的<img src="/img/tasks/icons/dependent.png" width="15"/> 任务节点到画板中。 |
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<p align="center"> |
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<img src="/img/depend-node.png" width="80%" /> |
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</p> |
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## 任务参数 |
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> 例如,A流程为周报任务,B、C流程为天任务,A任务需要B、C任务在上周的每一天都执行成功,如图示: |
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- 节点名称:设置任务节点的名称。一个工作流定义中的节点名称是唯一的。 |
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- 运行标志:标识这个结点是否能正常调度,如果不需要执行,可以打开禁止执行开关。 |
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- 描述:描述该节点的功能。 |
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- 任务优先级:worker 线程数不足时,根据优先级从高到低依次执行,优先级一样时根据先进先出原则执行。 |
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- Worker 分组:任务分配给 worker 组的机器执行,选择 Default ,会随机选择一台 worker 机执行。 |
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- 环境名称:配置运行脚本的环境。 |
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- 失败重试次数:任务失败重新提交的次数。 |
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- 失败重试间隔:任务失败重新提交任务的时间间隔,以分为单位。 |
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- 超时警告:勾选超时警告、超时失败,当任务超过“超时时长”后,会发送告警邮件并且任务执行失败。 |
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- 添加依赖:需要判断的依赖任务,可以是某一个项目中的工作流具体的任务执行情况。 |
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- 前置任务:选择当前任务的前置任务,会将被选择的前置任务设置为当前任务的上游。 |
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|
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<p align="center"> |
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<img src="/img/depend-node2.png" width="80%" /> |
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</p> |
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## 任务样例 |
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> 假如,周报A同时还需要自身在上周二执行成功: |
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Dependent 节点提供了逻辑判断功能,可以按照逻辑来检测所依赖节点的执行情况。 |
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|
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<p align="center"> |
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<img src="/img/depend-node3.png" width="80%" /> |
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</p> |
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例如,A 流程为周报任务,B、C 流程为天任务,A 任务需要 B、C 任务在上周的每一天都执行成功,如图示: |
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|
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![dependent_task01](/img/tasks/demo/dependent_task01.png) |
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例如,A 流程为周报任务,B、C 流程为天任务,A 任务需要 B 或 C 任务在上周的每一天都执行成功,如图示: |
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|
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![dependent_task02](/img/tasks/demo/dependent_task02.png) |
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假如,周报 A 同时还需要自身在上周二执行成功: |
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![dependent_task03](/img/tasks/demo/dependent_task03.png) |
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