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"""Interact with AWS RDS."""
from __future__ import annotations
import time
from typing import TYPE_CHECKING, Callable
from airflow.exceptions import AirflowException, AirflowNotFoundException
from airflow.providers.amazon.aws.hooks.base_aws import AwsGenericHook
if TYPE_CHECKING:
from mypy_boto3_rds import RDSClient # noqa
[docs]class RdsHook(AwsGenericHook["RDSClient"]):
"""
Interact with AWS RDS using proper client from the boto3 library.
Hook attribute `conn` has all methods that listed in documentation
.. seealso::
- https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/rds.html
- https://docs.aws.amazon.com/rds/index.html
Additional arguments (such as ``aws_conn_id`` or ``region_name``) may be specified and
are passed down to the underlying AwsBaseHook.
.. seealso::
:class:`~airflow.providers.amazon.aws.hooks.base_aws.AwsGenericHook`
:param aws_conn_id: The Airflow connection used for AWS credentials.
"""
def __init__(self, *args, **kwargs) -> None:
kwargs["client_type"] = "rds"
super().__init__(*args, **kwargs)
[docs] def get_db_snapshot_state(self, snapshot_id: str) -> str:
"""
Get the current state of a DB instance snapshot.
:param snapshot_id: The ID of the target DB instance snapshot
:return: Returns the status of the DB snapshot as a string (eg. "available")
:rtype: str
:raises AirflowNotFoundException: If the DB instance snapshot does not exist.
"""
try:
response = self.conn.describe_db_snapshots(DBSnapshotIdentifier=snapshot_id)
except self.conn.exceptions.ClientError as e:
if e.response["Error"]["Code"] == "DBSnapshotNotFound":
raise AirflowNotFoundException(e)
raise e
return response["DBSnapshots"][0]["Status"].lower()
[docs] def wait_for_db_snapshot_state(
self, snapshot_id: str, target_state: str, check_interval: int = 30, max_attempts: int = 40
) -> None:
"""
Polls :py:meth:`RDS.Client.describe_db_snapshots` until the target state is reached.
An error is raised after a max number of attempts.
:param snapshot_id: The ID of the target DB instance snapshot
:param target_state: Wait until this state is reached
:param check_interval: The amount of time in seconds to wait between attempts
:param max_attempts: The maximum number of attempts to be made
"""
def poke():
return self.get_db_snapshot_state(snapshot_id)
target_state = target_state.lower()
if target_state in ("available", "deleted", "completed"):
waiter = self.conn.get_waiter(f"db_snapshot_{target_state}") # type: ignore
waiter.wait(
DBSnapshotIdentifier=snapshot_id,
WaiterConfig={"Delay": check_interval, "MaxAttempts": max_attempts},
)
else:
self._wait_for_state(poke, target_state, check_interval, max_attempts)
self.log.info("DB snapshot '%s' reached the '%s' state", snapshot_id, target_state)
[docs] def get_db_cluster_snapshot_state(self, snapshot_id: str) -> str:
"""
Get the current state of a DB cluster snapshot.
:param snapshot_id: The ID of the target DB cluster.
:return: Returns the status of the DB cluster snapshot as a string (eg. "available")
:rtype: str
:raises AirflowNotFoundException: If the DB cluster snapshot does not exist.
"""
try:
response = self.conn.describe_db_cluster_snapshots(DBClusterSnapshotIdentifier=snapshot_id)
except self.conn.exceptions.ClientError as e:
if e.response["Error"]["Code"] == "DBClusterSnapshotNotFoundFault":
raise AirflowNotFoundException(e)
raise e
return response["DBClusterSnapshots"][0]["Status"].lower()
[docs] def wait_for_db_cluster_snapshot_state(
self, snapshot_id: str, target_state: str, check_interval: int = 30, max_attempts: int = 40
) -> None:
"""
Polls :py:meth:`RDS.Client.describe_db_cluster_snapshots` until the target state is reached.
An error is raised after a max number of attempts.
:param snapshot_id: The ID of the target DB cluster snapshot
:param target_state: Wait until this state is reached
:param check_interval: The amount of time in seconds to wait between attempts
:param max_attempts: The maximum number of attempts to be made
.. seealso::
A list of possible values for target_state:
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/rds.html#RDS.Client.describe_db_cluster_snapshots
"""
def poke():
return self.get_db_cluster_snapshot_state(snapshot_id)
target_state = target_state.lower()
if target_state in ("available", "deleted"):
waiter = self.conn.get_waiter(f"db_cluster_snapshot_{target_state}") # type: ignore
waiter.wait(
DBClusterSnapshotIdentifier=snapshot_id,
WaiterConfig={"Delay": check_interval, "MaxAttempts": max_attempts},
)
else:
self._wait_for_state(poke, target_state, check_interval, max_attempts)
self.log.info("DB cluster snapshot '%s' reached the '%s' state", snapshot_id, target_state)
[docs] def get_export_task_state(self, export_task_id: str) -> str:
"""
Gets the current state of an RDS snapshot export to Amazon S3.
:param export_task_id: The identifier of the target snapshot export task.
:return: Returns the status of the snapshot export task as a string (eg. "canceled")
:rtype: str
:raises AirflowNotFoundException: If the export task does not exist.
"""
try:
response = self.conn.describe_export_tasks(ExportTaskIdentifier=export_task_id)
except self.conn.exceptions.ClientError as e:
if e.response["Error"]["Code"] == "ExportTaskNotFoundFault":
raise AirflowNotFoundException(e)
raise e
return response["ExportTasks"][0]["Status"].lower()
[docs] def wait_for_export_task_state(
self, export_task_id: str, target_state: str, check_interval: int = 30, max_attempts: int = 40
) -> None:
"""
Polls :py:meth:`RDS.Client.describe_export_tasks` until the target state is reached.
An error is raised after a max number of attempts.
:param export_task_id: The identifier of the target snapshot export task.
:param target_state: Wait until this state is reached
:param check_interval: The amount of time in seconds to wait between attempts
:param max_attempts: The maximum number of attempts to be made
.. seealso::
A list of possible values for target_state:
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/rds.html#RDS.Client.describe_export_tasks
"""
def poke():
return self.get_export_task_state(export_task_id)
target_state = target_state.lower()
self._wait_for_state(poke, target_state, check_interval, max_attempts)
self.log.info("export task '%s' reached the '%s' state", export_task_id, target_state)
[docs] def get_event_subscription_state(self, subscription_name: str) -> str:
"""
Gets the current state of an RDS snapshot export to Amazon S3.
:param subscription_name: The name of the target RDS event notification subscription.
:return: Returns the status of the event subscription as a string (eg. "active")
:rtype: str
:raises AirflowNotFoundException: If the event subscription does not exist.
"""
try:
response = self.conn.describe_event_subscriptions(SubscriptionName=subscription_name)
except self.conn.exceptions.ClientError as e:
if e.response["Error"]["Code"] == "SubscriptionNotFoundFault":
raise AirflowNotFoundException(e)
raise e
return response["EventSubscriptionsList"][0]["Status"].lower()
[docs] def wait_for_event_subscription_state(
self, subscription_name: str, target_state: str, check_interval: int = 30, max_attempts: int = 40
) -> None:
"""
Polls :py:meth:`RDS.Client.describe_event_subscriptions` until the target state is reached.
An error is raised after a max number of attempts.
:param subscription_name: The name of the target RDS event notification subscription.
:param target_state: Wait until this state is reached
:param check_interval: The amount of time in seconds to wait between attempts
:param max_attempts: The maximum number of attempts to be made
.. seealso::
A list of possible values for target_state:
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/rds.html#RDS.Client.describe_event_subscriptions
"""
def poke():
return self.get_event_subscription_state(subscription_name)
target_state = target_state.lower()
self._wait_for_state(poke, target_state, check_interval, max_attempts)
self.log.info("event subscription '%s' reached the '%s' state", subscription_name, target_state)
[docs] def get_db_instance_state(self, db_instance_id: str) -> str:
"""
Get the current state of a DB instance.
:param db_instance_id: The ID of the target DB instance.
:return: Returns the status of the DB instance as a string (eg. "available")
:rtype: str
:raises AirflowNotFoundException: If the DB instance does not exist.
"""
try:
response = self.conn.describe_db_instances(DBInstanceIdentifier=db_instance_id)
except self.conn.exceptions.ClientError as e:
if e.response["Error"]["Code"] == "DBInstanceNotFoundFault":
raise AirflowNotFoundException(e)
raise e
return response["DBInstances"][0]["DBInstanceStatus"].lower()
[docs] def wait_for_db_instance_state(
self, db_instance_id: str, target_state: str, check_interval: int = 30, max_attempts: int = 40
) -> None:
"""
Polls :py:meth:`RDS.Client.describe_db_instances` until the target state is reached.
An error is raised after a max number of attempts.
:param db_instance_id: The ID of the target DB instance.
:param target_state: Wait until this state is reached
:param check_interval: The amount of time in seconds to wait between attempts
:param max_attempts: The maximum number of attempts to be made
.. seealso::
For information about DB instance statuses, see Viewing DB instance status in the Amazon RDS
User Guide.
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/accessing-monitoring.html#Overview.DBInstance.Status
"""
def poke():
return self.get_db_instance_state(db_instance_id)
target_state = target_state.lower()
if target_state in ("available", "deleted"):
waiter = self.conn.get_waiter(f"db_instance_{target_state}") # type: ignore
waiter.wait(
DBInstanceIdentifier=db_instance_id,
WaiterConfig={"Delay": check_interval, "MaxAttempts": max_attempts},
)
else:
self._wait_for_state(poke, target_state, check_interval, max_attempts)
self.log.info("DB cluster snapshot '%s' reached the '%s' state", db_instance_id, target_state)
[docs] def get_db_cluster_state(self, db_cluster_id: str) -> str:
"""
Get the current state of a DB cluster.
:param db_cluster_id: The ID of the target DB cluster.
:return: Returns the status of the DB cluster as a string (eg. "available")
:rtype: str
:raises AirflowNotFoundException: If the DB cluster does not exist.
"""
try:
response = self.conn.describe_db_clusters(DBClusterIdentifier=db_cluster_id)
except self.conn.exceptions.ClientError as e:
if e.response["Error"]["Code"] == "DBClusterNotFoundFault":
raise AirflowNotFoundException(e)
raise e
return response["DBClusters"][0]["Status"].lower()
[docs] def wait_for_db_cluster_state(
self, db_cluster_id: str, target_state: str, check_interval: int = 30, max_attempts: int = 40
) -> None:
"""
Polls :py:meth:`RDS.Client.describe_db_clusters` until the target state is reached.
An error is raised after a max number of attempts.
:param db_cluster_id: The ID of the target DB cluster.
:param target_state: Wait until this state is reached
:param check_interval: The amount of time in seconds to wait between attempts
:param max_attempts: The maximum number of attempts to be made
.. seealso::
For information about DB instance statuses, see Viewing DB instance status in the Amazon RDS
User Guide.
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/accessing-monitoring.html#Overview.DBInstance.Status
"""
def poke():
return self.get_db_cluster_state(db_cluster_id)
target_state = target_state.lower()
if target_state in ("available", "deleted"):
waiter = self.conn.get_waiter(f"db_cluster_{target_state}") # type: ignore
waiter.wait(
DBClusterIdentifier=db_cluster_id,
WaiterConfig={"Delay": check_interval, "MaxAttempts": max_attempts},
)
else:
self._wait_for_state(poke, target_state, check_interval, max_attempts)
self.log.info("DB cluster snapshot '%s' reached the '%s' state", db_cluster_id, target_state)
def _wait_for_state(
self,
poke: Callable[..., str],
target_state: str,
check_interval: int,
max_attempts: int,
) -> None:
"""
Polls the poke function for the current state until it reaches the target_state.
:param poke: A function that returns the current state of the target resource as a string.
:param target_state: Wait until this state is reached
:param check_interval: The amount of time in seconds to wait between attempts
:param max_attempts: The maximum number of attempts to be made
"""
state = poke()
tries = 1
while state != target_state:
self.log.info("Current state is %s", state)
if tries >= max_attempts:
raise AirflowException("Max attempts exceeded")
time.sleep(check_interval)
state = poke()
tries += 1
