blob: 9ef64cbff82a9623fe8012dafe23f74ebe039a32 [file] [log] [blame]
:mod:`airflow.providers.amazon.aws.operators.dms_stop_task`
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.. py:module:: airflow.providers.amazon.aws.operators.dms_stop_task
Module Contents
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.. py:class:: DmsStopTaskOperator(*, replication_task_arn: Optional[str] = None, aws_conn_id: str = 'aws_default', **kwargs)
Bases: :class:`airflow.models.BaseOperator`
Stops AWS DMS replication task.
:param replication_task_arn: Replication task ARN
:type replication_task_arn: str
:param aws_conn_id: The Airflow connection used for AWS credentials.
If this is None or empty then the default boto3 behaviour is used. If
running Airflow in a distributed manner and aws_conn_id is None or
empty, then default boto3 configuration would be used (and must be
maintained on each worker node).
:type aws_conn_id: Optional[str]
.. attribute:: template_fields
:annotation: = ['replication_task_arn']
.. attribute:: template_ext
:annotation: = []
.. attribute:: template_fields_renderers
.. method:: execute(self, context)
Stops AWS DMS replication task from Airflow
:return: replication task arn