tests.system.google.cloud.dataflow.example_dataflow_native_python_async¶

用于测试使用异步 Python 的 Google Dataflow Beam Pipeline Operator 的示例 Airflow DAG。

属性¶

`ENV_ID`
`DAG_ID`
`RESOURCE_DATA_BUCKET`
`BUCKET_NAME`
`GCS_TMP`
`GCS_STAGING`
`GCS_OUTPUT`
`GCS_PYTHON_SCRIPT`
`LOCATION`
`default_args`
`create_bucket`
`test_run`

模块内容¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.ENV_ID[源代码]¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.DAG_ID = 'dataflow_native_python_async'[源代码]¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.RESOURCE_DATA_BUCKET = 'airflow-system-tests-resources'[源代码]¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.BUCKET_NAME = 'bucket_dataflow_native_python_async_Uninferable'[源代码]¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_TMP = 'gs://bucket_dataflow_native_python_async_Uninferable/temp/'[源代码]¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_STAGING = 'gs://bucket_dataflow_native_python_async_Uninferable/staging/'[源代码]¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_OUTPUT = 'gs://bucket_dataflow_native_python_async_Uninferable/output'[源代码]¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.GCS_PYTHON_SCRIPT = 'gs://airflow-system-tests-resources/dataflow/python/wordcount_debugging.py'[源代码]¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.LOCATION = 'europe-west3'[源代码]¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.default_args[源代码]¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.create_bucket[源代码]¶

tests.system.google.cloud.dataflow.example_dataflow_native_python_async.test_run[源代码]¶

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