baolsen commented on a change in pull request #6773: [AIRFLOW-6038] AWS
DataSync example_dags added
URL: https://github.com/apache/airflow/pull/6773#discussion_r356970395
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File path: airflow/providers/amazon/aws/operators/datasync.py
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@@ -27,25 +25,45 @@
from airflow.utils.decorators import apply_defaults
-class AWSDataSyncCreateTaskOperator(BaseOperator):
- r"""Create an AWS DataSync Task.
+# pylint: disable=too-many-instance-attributes, too-many-arguments
+class AWSDataSyncOperator(BaseOperator):
+ r"""Find, Create, Update, Execute and Delete AWS DataSync Tasks.
+
+ If ``do_xcom_push`` is True, then the TaskArn and TaskExecutionArn which
+ were executed will be pushed to an XCom.
- If there are existing Locations which match the specified
- source and destination URIs then these will be used for the Task.
- Otherwise, new Locations can be created automatically,
- depending on input parameters.
+ .. seealso::
+ For more information on how to use this operator, take a look at the
guide:
+ :ref:`howto/operator:AWSDataSyncOperator`
- If ``do_xcom_push`` is True, the TaskArn which is created
- will be pushed to an XCom.
+ .. note:: There may be 0, 1, or many existing DataSync Tasks. The default
+ behavior is to create a new Task if there are 0, or execute the Task
+ if there was 1 Task, or fail if there were many Tasks.
:param str aws_conn_id: AWS connection to use.
- :param str source_location_uri: Source location URI.
+ :param int wait_for_task_execution: Time to wait between two
Review comment:
Typo, thanks for catching it. The code called this "wait_interval_seconds",
so I've used that now. Checked the rest and I noticed that
delete_task_after_execution wasn't documented so I fixed that now :)
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