Source code for airflow.providers.amazon.aws.hooks.rds

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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
from airflow.providers.amazon.aws.utils.waiter_with_logging import wait

if TYPE_CHECKING:
    from mypy_boto3_rds import RDSClient  # noqa: F401


[docs]class RdsHook(AwsGenericHook["RDSClient"]): """ Interact with Amazon Relational Database Service (RDS). Provide thin wrapper around :external+boto3:py:class:`boto3.client("rds") <RDS.Client>`. Additional arguments (such as ``aws_conn_id``) may be specified and are passed down to the underlying AwsBaseHook. .. seealso:: - :class:`airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook` - `Amazon RDS and Aurora Documentation \ <https://docs.aws.amazon.com/rds/index.html>`__ """ 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. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_db_snapshots` :param snapshot_id: The ID of the target DB instance snapshot :return: Returns the status of the DB snapshot as a string (eg. "available") :raises AirflowNotFoundException: If the DB instance snapshot does not exist. """ try: response = self.conn.describe_db_snapshots(DBSnapshotIdentifier=snapshot_id) except self.conn.exceptions.DBSnapshotNotFoundFault as e: raise AirflowNotFoundException(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: """ Poll DB Snapshots until target_state is reached; raise AirflowException after max_attempts. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_db_snapshots` :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. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_db_cluster_snapshots` :param snapshot_id: The ID of the target DB cluster. :return: Returns the status of the DB cluster snapshot as a string (eg. "available") :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.DBClusterSnapshotNotFoundFault as e: raise AirflowNotFoundException(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: """ Poll DB Cluster Snapshots until target_state is reached; raise AirflowException after a max_attempts. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_db_cluster_snapshots` :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 """ 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: """ Get the current state of an RDS snapshot export to Amazon S3. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_export_tasks` :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") :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: """ Poll export tasks until target_state is reached; raise AirflowException after max_attempts. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_export_tasks` :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 """ 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: """ Get the current state of an RDS snapshot export to Amazon S3. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_event_subscriptions` :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") :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: """ Poll Event Subscriptions until target_state is reached; raise AirflowException after max_attempts. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_event_subscriptions` :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 """ 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. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_db_instances` :param db_instance_id: The ID of the target DB instance. :return: Returns the status of the DB instance as a string (eg. "available") :raises AirflowNotFoundException: If the DB instance does not exist. """ try: response = self.conn.describe_db_instances(DBInstanceIdentifier=db_instance_id) except self.conn.exceptions.DBInstanceNotFoundFault as e: raise AirflowNotFoundException(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: """ Poll DB Instances until target_state is reached; raise AirflowException after max_attempts. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_db_instances` :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 """ 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 wait( waiter=waiter, waiter_delay=check_interval, waiter_max_attempts=max_attempts, args={"DBInstanceIdentifier": db_instance_id}, failure_message=f"Rdb DB instance failed to reach state {target_state}", status_message="Rds DB instance state is", status_args=["DBInstances[0].DBInstanceStatus"], ) 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. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_db_clusters` :param db_cluster_id: The ID of the target DB cluster. :return: Returns the status of the DB cluster as a string (eg. "available") :raises AirflowNotFoundException: If the DB cluster does not exist. """ try: response = self.conn.describe_db_clusters(DBClusterIdentifier=db_cluster_id) except self.conn.exceptions.DBClusterNotFoundFault as e: raise AirflowNotFoundException(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: """ Poll DB Clusters until target_state is reached; raise AirflowException after max_attempts. .. seealso:: - :external+boto3:py:meth:`RDS.Client.describe_db_clusters` :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 """ 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: """ Poll 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

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