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https://issues.apache.org/jira/browse/AIRFLOW-2469?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Aizhamal Nurmamat kyzy updated AIRFLOW-2469:
--------------------------------------------
Labels: google-cloud-dataflow (was: )
> example task in documentation causes dataflow operator to fail
> --------------------------------------------------------------
>
> Key: AIRFLOW-2469
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2469
> Project: Apache Airflow
> Issue Type: Bug
> Components: gcp
> Affects Versions: 1.9.0
> Reporter: Chris Chow
> Assignee: Iuliia Volkova
> Priority: Critical
> Labels: google-cloud-dataflow
>
> https://github.com/apache/incubator-airflow/blob/c7a472ed6b0d8a4720f57ba1140c8cf665757167/airflow/contrib/operators/dataflow_operator.py#L176
> {noformat}
> t1 = DataflowTemplateOperator(
> task_id='datapflow_example',
> template='{{var.value.gcp_dataflow_base}}',
> parameters={
> 'inputFile': "gs://bucket/input/my_input.txt",
> 'outputFile': "gs://bucket/output/my_output.txt"
> },
> gcp_conn_id='gcp-airflow-service-account',
> dag=my-dag){noformat}
> If you actually name a dataflow task 'datapflow_example', the Google dataflow
> service will not accept the job because it is not named correctly. Dataflow
> job names can't have '_' in them. Strictly speaking, apache beam jobnames
> must adhere to the regex
> [a-z]([-a-z0-9]*[a-z0-9])?.
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