仅在另一个管道完成谷歌数据流后才执行管道

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问题描述

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我想在谷歌数据流上运行一个依赖于另一个管道输出的管道.现在我只是在本地使用 DirectRunner 一个接一个地运行两个管道:

I want to run a pipeline on google dataflow that depends on the output of another pipeline. Right now I am just running two pipelines after each other with the DirectRunner locally:

with beam.Pipeline(options=pipeline_options) as p:
    (p
     | beam.io.ReadFromText(known_args.input)
     | SomeTransform()
     | beam.io.WriteToText('temp'))

with beam.Pipeline(options=pipeline_options) as p:
    (p
     | beam.io.ReadFromText('temp*')
     | AnotherTransform()
     | beam.io.WriteToText(known_args.output))

我的问题如下:

DataflowRunner 是否保证第二个管道仅在第一个管道完成后启动?是否有一种首选方法可以依次运行两个管道?还有什么推荐的方法可以将这些管道分离到不同的文件中，以便更好地测试它们吗?

推荐答案

DataflowRunner 是否保证在第一个管道完成后才启动第二个?

Does the DataflowRunner guarantee that the second is only started after the first pipeline completed?

不，Dataflow 只是执行管道.它没有管理相关管道执行的功能.

No, Dataflow simply executes a pipeline. It has no features for managing dependent pipeline executions.

更新:为了澄清起见，Apache Beam 确实提供了一种等待管道完成执行的机制.请参阅 PipelineResult 类的 waitUntilFinish() 方法.参考:PipelineResult.waitUntilFinish().

Update: For clarification, Apache Beam does provide a mechanism for waiting for a pipeline to complete execution. See the waitUntilFinish() method of the PipelineResult class. Reference: PipelineResult.waitUntilFinish().

是否有一种首选方法可以依次运行两个管道?

Is there a preferred method to run two pipelines consequetively after each other?

考虑使用 Apache Airflow 之类的工具来管理相关管道.您甚至可以实现一个简单的 bash 脚本，在另一个管道完成后部署另一个管道.

Consider using a tool like Apache Airflow for managing dependent pipelines. You can even implement a simple bash script to deploy one pipeline after another one has finished.

还有推荐的方法将这些管道分成不同的文件以便更好地测试它们吗?

Also is there a recommended way to separate those pipelines into different files in order to test them better?

是的，单独的文件.这只是良好的代码组织，不一定更适合测试.

Yes, separate files. This is just good code organization, not necessarily better for testing.

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