tests.system.google.cloud.dataflow.example_dataflow_native_python_async¶
Example Airflow DAG for testing Google Dataflow Beam Pipeline Operator with Asynchronous Python.
Attributes¶
Module Contents¶
- tests.system.google.cloud.dataflow.example_dataflow_native_python_async.DAG_ID = 'dataflow_native_python_async'[source]¶
- tests.system.google.cloud.dataflow.example_dataflow_native_python_async.RESOURCE_DATA_BUCKET = 'airflow-system-tests-resources'[source]¶
- tests.system.google.cloud.dataflow.example_dataflow_native_python_async.BUCKET_NAME = 'bucket_dataflow_native_python_async_Uninferable'[source]¶
- tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_TMP = 'gs://bucket_dataflow_native_python_async_Uninferable/temp/'[source]¶
- tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_STAGING = 'gs://bucket_dataflow_native_python_async_Uninferable/staging/'[source]¶
- tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_OUTPUT = 'gs://bucket_dataflow_native_python_async_Uninferable/output'[source]¶
- tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_PYTHON_SCRIPT = 'gs://airflow-system-tests-resources/dataflow/python/wordcount_debugging.py'[source]¶