Example Airflow DAG for testing Google Dataflow Beam Pipeline Operator with Asynchronous Python.
Module Contents
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.ENV_ID[source]
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.DAG_ID = 'dataflow_native_python_async'[source]
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.RESOURCE_DATA_BUCKET = 'airflow-system-tests-resources'[source]
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.BUCKET_NAME[source]
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_TMP[source]
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_STAGING[source]
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_OUTPUT[source]
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_PYTHON_SCRIPT[source]
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.LOCATION = 'europe-west3'[source]
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.default_args[source]
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.create_bucket[source]
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tests.system.google.cloud.dataflow.example_dataflow_native_python_async.test_run[source]