Source code for airflow.providers.amazon.aws.sensors.redshift_cluster
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from __future__ import annotations
from datetime import timedelta
from functools import cached_property
from typing import TYPE_CHECKING, Any, Sequence
from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.redshift_cluster import RedshiftHook
from airflow.providers.amazon.aws.triggers.redshift_cluster import RedshiftClusterTrigger
from airflow.providers.amazon.aws.utils import validate_execute_complete_event
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class RedshiftClusterSensor(BaseSensorOperator):
"""
Waits for a Redshift cluster to reach a specific status.
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:RedshiftClusterSensor`
:param cluster_identifier: The identifier for the cluster being pinged.
:param target_status: The cluster status desired.
:param deferrable: Run operator in the deferrable mode.
"""
[docs] template_fields: Sequence[str] = ("cluster_identifier", "target_status")
def __init__(
self,
*,
cluster_identifier: str,
target_status: str = "available",
aws_conn_id: str | None = "aws_default",
deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
**kwargs,
):
super().__init__(**kwargs)
self.cluster_identifier = cluster_identifier
self.target_status = target_status
self.aws_conn_id = aws_conn_id
self.deferrable = deferrable
[docs] def poke(self, context: Context) -> bool:
current_status = self.hook.cluster_status(self.cluster_identifier)
self.log.info(
"Poked cluster %s for status '%s', found status '%s'",
self.cluster_identifier,
self.target_status,
current_status,
)
return current_status == self.target_status
[docs] def execute(self, context: Context) -> None:
if not self.deferrable:
super().execute(context=context)
elif not self.poke(context):
self.defer(
timeout=timedelta(seconds=self.timeout),
trigger=RedshiftClusterTrigger(
aws_conn_id=self.aws_conn_id,
cluster_identifier=self.cluster_identifier,
target_status=self.target_status,
poke_interval=self.poke_interval,
),
method_name="execute_complete",
)
[docs] def execute_complete(self, context: Context, event: dict[str, Any] | None = None) -> None:
event = validate_execute_complete_event(event)
status = event["status"]
if status == "error":
raise AirflowException(f"{event['status']}: {event['message']}")
elif status == "success":
self.log.info("%s completed successfully.", self.task_id)
self.log.info("Cluster Identifier %s is in %s state", self.cluster_identifier, self.target_status)
@cached_property
[docs] def hook(self) -> RedshiftHook:
return RedshiftHook(aws_conn_id=self.aws_conn_id)