xsbai commented on pull request #3073: URL: https://github.com/apache/incubator-dolphinscheduler/pull/3073#issuecomment-654095173
##### 7.13 waterdrop节点 * 拖动工具栏中的任务节点到画板中，如下图所示  * 部署方式：支持client、cluster和local模式 * 队列：指分配到spark中的队列，默认为default * Master：指进行waterdrop任务的节点，可选yarn或者mesos，当部署方式为local时，默认为本机 * 资源：指waterdrop任务的配置文件，当选择多个文件时，将顺序进行waterdrop任务 * 自定义参数：waterdrop配置文件中的用户自定义参数，会替换脚本中以${变量}的内容 > waterdrop配置文件编写，详情请看[waterdrop_config](https://interestinglab.github.io/waterdrop-docs/#/zh-cn/v1/configuration/base) ##### 7.13 waterdrop * Drag the  task node in the toolbar onto the palette and double-click the task node as follows:  * Deploy Mode ：support client、cluster and local * Queue ：Refers to the queue assigned to spark. Default is the default * Master ：It refers to the node that performs the waterdrop task. You can select either yarn or mesos. When the deployment mode is local, it is local by default * Resources：Refers to the configuration file of the waterdrop task. When multiple files are selected, the waterdrop task will be performed in sequence * Custom parameters: User-defined parameters in waterdrop config file that replace the contents in scripts with ${variables} > Write waterdrop configuration file. For details, please see [waterdrop_config](https://interestinglab.github.io/waterdrop-docs/#/zh-cn/v1/configuration/base) ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
