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https://issues.apache.org/jira/browse/AIRFLOW-6294?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17104015#comment-17104015
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ASF GitHub Bot commented on AIRFLOW-6294:
-----------------------------------------
mik-laj commented on pull request #8809:
URL: https://github.com/apache/airflow/pull/8809#issuecomment-626441074
In my opinion, we need to add some information.
* new section which will describe the ways to run a pipeline. Currently, the
pipeline can be started using a local running executable
(DataflowCreateJavaJobOperator, DataflowCreatePythonJobOperator) or Dataflow
Template (DataflowTemplatedJobStartOperator) or via KubernetesPodOperator). A
description that describes the differences between these methods would be
useful.
* A new section that will describe the differences between asynchronic and
blocking execution modes. You should not use blocking pipelines, because it
causes a background process to run, which supervises the execution of the job,
This is not positive for two reasons - increase consumption of resources and
prevents Airflow supervision over the job
* information that Python operators allow you to specify the Apache Beam
version, but if no version is specified, the local version from the environment
will be used
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> Create guide for Dataflow service operator
> ------------------------------------------
>
> Key: AIRFLOW-6294
> URL: https://issues.apache.org/jira/browse/AIRFLOW-6294
> Project: Apache Airflow
> Issue Type: New Feature
> Components: documentation, gcp
> Affects Versions: 1.10.6
> Reporter: Kamil Bregula
> Priority: Minor
> Labels: GoodForNewContributors
>
> Hello,
> A guide that describes how to use Dataflow service perators would be useful.
> Other guides are available:
> https://airflow.readthedocs.io/en/latest/howto/operator/gcp/index.html
> If anyone is interested in this task, I am willing to provide all the
> necessary tips and information.
> Best regards,
> Kamil
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