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BTW, please use English, thx Best Wishes！ CalvinKirs, Apache DolphinScheduler PMC On 09/30/2021 10:36，Marlone<[email protected]> wrote： 无法取消订阅？ ---原始邮件--- 发件人: "zhang junfan"<[email protected]> 发送时间: 2021年9月30日(周四) 上午10:35 收件人: "[email protected]"<[email protected]>; 主题: 回复: [PROPOSAL] Add Python API implementation of workflows-as-code Good job, thanks focusing on multi-lang support. Minor discussion. 1. Could you please provide some spark/flink process examples? 2. I'm confused with workflow-as-code, you means it just define the DAG and workflow parameters? Could we combine workflow and user task code(like spark/flink programs)? ________________________________ 发件人: Jiajie Zhong <[email protected]> 发送时间: 2021年9月28日 11:42 收件人: [email protected] <[email protected]> 主题: [PROPOSAL] Add Python API implementation of workflows-as-code Hey guys, Apache DolphinScheduler is a good tool for workflow scheduler, it’s easy-to-extend, distributed and have nice UI to create and maintain workflow. Our workflow only support define in UI, which is easy to use and user friendly, it’s good but could be batter by adding extend API and make workflow could define as code or yaml file. And consider yaml file it’s hard to maintain manually I think it better to use code to define it, aka workflows-as-code. When workflow definitions as code, we could easy to modify some configure and do some batch change for it. It’s could more easy to define similar task by loop statement, and it give ability adding unittest for workflow too. I hope Apache DolphinScheduler could combine the benefit of define by code and by UI, so I raise proposal for adding workflows-as-code to Apache DolphinScheduler. Actually, I already start it by adding POC PR[1]. In this PR, I adding Python API give user define workflow by Python code. This feature use *Py4J* connect Java and Python, which mean I never add any new database model and infra to Apache DolphinScheduler, I just reuse layer service in dolphinscheduler-api package to create workflow. And we could consider Python API just another interface for Apache DolphinScheduler, just like our UI, it allow we define and maintain workflow follow their rule. Here it’s an tutorial workflow definitions by Python API, which you could find it in PR file[2] ```python from pydolphinscheduler.core.process_definition import ProcessDefinition from pydolphinscheduler.tasks.shell import Shell with ProcessDefinition(name="tutorial") as pd: task_parent = Shell(name="task_parent", command="echo hello pydolphinscheduler") task_child_one = Shell(name="task_child_one", command="echo 'child one'") task_child_two = Shell(name="task_child_two", command="echo 'child two'") task_union = Shell(name="task_union", command="echo union") task_group = [task_child_one, task_child_two] task_parent.set_downstream(task_group) task_union << task_group pd.run() ``` In tutorial, we define a new ProcessDefinition named ‘tutorial’ using python context, and then we add four Shell tasks to ‘tutorial’, just five line we could create one process definition with four tasks. Beside process definition and tasks, another think we have to add to workflow it’s task dependent, we add function `set_downstream` and `set_upstream` to describe task dependent. At the same time, we overwrite bit operator and add a shortcut `>>` and `<<` to do it. After dependent set, we done our workflow definition, but all definition are in Python API side, which mean it not persist to Apache DolphinScheduler database, and it could not runs by Apache DolphinScheduler until declare `pd.submit()` or directly run it by `pd.run()` [1]: https://github.com/apache/dolphinscheduler/pull/6269 <https://github.com/apache/dolphinscheduler/pull/6269> [2]: https://github.com/apache/dolphinscheduler/pull/6269/files#diff-5561fec6b57cc611bee2b0d8f030965d76bdd202801d9f8a1e2e74c21769bc41 <https://github.com/apache/dolphinscheduler/pull/6269/files#diff-5561fec6b57cc611bee2b0d8f030965d76bdd202801d9f8a1e2e74c21769bc41> Best Wish — Jiajie
