Source code for airflow.providers.amazon.aws.operators.dms_stop_task
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from typing import Optional
from airflow.models import BaseOperator
from airflow.providers.amazon.aws.hooks.dms import DmsHook
[docs]class DmsStopTaskOperator(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]
"""
[docs] template_fields = ('replication_task_arn',)
[docs] template_fields_renderers = {}
def __init__(
self,
*,
replication_task_arn: Optional[str] = None,
aws_conn_id: str = 'aws_default',
**kwargs,
):
super().__init__(**kwargs)
self.replication_task_arn = replication_task_arn
self.aws_conn_id = aws_conn_id
[docs] def execute(self, context):
"""
Stops AWS DMS replication task from Airflow
:return: replication task arn
"""
dms_hook = DmsHook(aws_conn_id=self.aws_conn_id)
dms_hook.stop_replication_task(replication_task_arn=self.replication_task_arn)
self.log.info("DMS replication task(%s) is stopping.", self.replication_task_arn)