Chris Chow created AIRFLOW-2469:
-----------------------------------
Summary: 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: Dataflow
Affects Versions: 1.9.0
Reporter: Chris Chow
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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