#
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# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
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#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
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from __future__ import annotations
import json
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.models import BaseOperator
from airflow.providers.amazon.aws.hooks.rds import RdsHook
from airflow.providers.amazon.aws.triggers.rds import (
RdsDbAvailableTrigger,
RdsDbDeletedTrigger,
RdsDbStoppedTrigger,
)
from airflow.providers.amazon.aws.utils import validate_execute_complete_event
from airflow.providers.amazon.aws.utils.rds import RdsDbType
from airflow.providers.amazon.aws.utils.tags import format_tags
from airflow.providers.amazon.aws.utils.waiter_with_logging import wait
from airflow.utils.helpers import prune_dict
if TYPE_CHECKING:
from mypy_boto3_rds.type_defs import TagTypeDef
from airflow.utils.context import Context
class RdsBaseOperator(BaseOperator):
"""Base operator that implements common functions for all operators."""
ui_color = "#eeaa88"
ui_fgcolor = "#ffffff"
def __init__(
self,
*args,
aws_conn_id: str | None = "aws_conn_id",
region_name: str | None = None,
**kwargs,
):
self.aws_conn_id = aws_conn_id
self.region_name = region_name
super().__init__(*args, **kwargs)
self._await_interval = 60 # seconds
@cached_property
def hook(self) -> RdsHook:
return RdsHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
def execute(self, context: Context) -> str:
"""Different implementations for snapshots, tasks and events."""
raise NotImplementedError
def on_kill(self) -> None:
"""Different implementations for snapshots, tasks and events."""
raise NotImplementedError
[docs]class RdsCreateDbSnapshotOperator(RdsBaseOperator):
"""
Creates a snapshot of a DB instance or DB cluster.
The source DB instance or cluster must be in the available or storage-optimization state.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RdsCreateDbSnapshotOperator`
:param db_type: Type of the DB - either "instance" or "cluster"
:param db_identifier: The identifier of the instance or cluster that you want to create the snapshot of
:param db_snapshot_identifier: The identifier for the DB snapshot
:param tags: A dictionary of tags or a list of tags in format `[{"Key": "...", "Value": "..."},]`
`USER Tagging <https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_Tagging.html>`__
:param wait_for_completion: If True, waits for creation of the DB snapshot to complete. (default: True)
"""
[docs] template_fields = ("db_snapshot_identifier", "db_identifier", "tags")
def __init__(
self,
*,
db_type: str,
db_identifier: str,
db_snapshot_identifier: str,
tags: Sequence[TagTypeDef] | dict | None = None,
wait_for_completion: bool = True,
**kwargs,
):
super().__init__(**kwargs)
self.db_type = RdsDbType(db_type)
self.db_identifier = db_identifier
self.db_snapshot_identifier = db_snapshot_identifier
self.tags = tags
self.wait_for_completion = wait_for_completion
[docs] def execute(self, context: Context) -> str:
self.log.info(
"Starting to create snapshot of RDS %s '%s': %s",
self.db_type,
self.db_identifier,
self.db_snapshot_identifier,
)
formatted_tags = format_tags(self.tags)
if self.db_type.value == "instance":
create_instance_snap = self.hook.conn.create_db_snapshot(
DBInstanceIdentifier=self.db_identifier,
DBSnapshotIdentifier=self.db_snapshot_identifier,
Tags=formatted_tags,
)
create_response = json.dumps(create_instance_snap, default=str)
if self.wait_for_completion:
self.hook.wait_for_db_snapshot_state(self.db_snapshot_identifier, target_state="available")
else:
create_cluster_snap = self.hook.conn.create_db_cluster_snapshot(
DBClusterIdentifier=self.db_identifier,
DBClusterSnapshotIdentifier=self.db_snapshot_identifier,
Tags=formatted_tags,
)
create_response = json.dumps(create_cluster_snap, default=str)
if self.wait_for_completion:
self.hook.wait_for_db_cluster_snapshot_state(
self.db_snapshot_identifier, target_state="available"
)
return create_response
[docs]class RdsCopyDbSnapshotOperator(RdsBaseOperator):
"""
Copies the specified DB instance or DB cluster snapshot.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RdsCopyDbSnapshotOperator`
:param db_type: Type of the DB - either "instance" or "cluster"
:param source_db_snapshot_identifier: The identifier of the source snapshot
:param target_db_snapshot_identifier: The identifier of the target snapshot
:param kms_key_id: The AWS KMS key identifier for an encrypted DB snapshot
:param tags: A dictionary of tags or a list of tags in format `[{"Key": "...", "Value": "..."},]`
`USER Tagging <https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_Tagging.html>`__
:param copy_tags: Whether to copy all tags from the source snapshot to the target snapshot (default False)
:param pre_signed_url: The URL that contains a Signature Version 4 signed request
:param option_group_name: The name of an option group to associate with the copy of the snapshot
Only when db_type='instance'
:param target_custom_availability_zone: The external custom Availability Zone identifier for the target
Only when db_type='instance'
:param source_region: The ID of the region that contains the snapshot to be copied
:param wait_for_completion: If True, waits for snapshot copy to complete. (default: True)
"""
[docs] template_fields = (
"source_db_snapshot_identifier",
"target_db_snapshot_identifier",
"tags",
"pre_signed_url",
"option_group_name",
)
def __init__(
self,
*,
db_type: str,
source_db_snapshot_identifier: str,
target_db_snapshot_identifier: str,
kms_key_id: str = "",
tags: Sequence[TagTypeDef] | dict | None = None,
copy_tags: bool = False,
pre_signed_url: str = "",
option_group_name: str = "",
target_custom_availability_zone: str = "",
source_region: str = "",
wait_for_completion: bool = True,
**kwargs,
):
super().__init__(**kwargs)
self.db_type = RdsDbType(db_type)
self.source_db_snapshot_identifier = source_db_snapshot_identifier
self.target_db_snapshot_identifier = target_db_snapshot_identifier
self.kms_key_id = kms_key_id
self.tags = tags
self.copy_tags = copy_tags
self.pre_signed_url = pre_signed_url
self.option_group_name = option_group_name
self.target_custom_availability_zone = target_custom_availability_zone
self.source_region = source_region
self.wait_for_completion = wait_for_completion
[docs] def execute(self, context: Context) -> str:
self.log.info(
"Starting to copy snapshot '%s' as '%s'",
self.source_db_snapshot_identifier,
self.target_db_snapshot_identifier,
)
formatted_tags = format_tags(self.tags)
if self.db_type.value == "instance":
copy_instance_snap = self.hook.conn.copy_db_snapshot(
SourceDBSnapshotIdentifier=self.source_db_snapshot_identifier,
TargetDBSnapshotIdentifier=self.target_db_snapshot_identifier,
KmsKeyId=self.kms_key_id,
Tags=formatted_tags,
CopyTags=self.copy_tags,
PreSignedUrl=self.pre_signed_url,
OptionGroupName=self.option_group_name,
TargetCustomAvailabilityZone=self.target_custom_availability_zone,
SourceRegion=self.source_region,
)
copy_response = json.dumps(copy_instance_snap, default=str)
if self.wait_for_completion:
self.hook.wait_for_db_snapshot_state(
self.target_db_snapshot_identifier, target_state="available"
)
else:
copy_cluster_snap = self.hook.conn.copy_db_cluster_snapshot(
SourceDBClusterSnapshotIdentifier=self.source_db_snapshot_identifier,
TargetDBClusterSnapshotIdentifier=self.target_db_snapshot_identifier,
KmsKeyId=self.kms_key_id,
Tags=formatted_tags,
CopyTags=self.copy_tags,
PreSignedUrl=self.pre_signed_url,
SourceRegion=self.source_region,
)
copy_response = json.dumps(copy_cluster_snap, default=str)
if self.wait_for_completion:
self.hook.wait_for_db_cluster_snapshot_state(
self.target_db_snapshot_identifier, target_state="available"
)
return copy_response
[docs]class RdsDeleteDbSnapshotOperator(RdsBaseOperator):
"""
Deletes a DB instance or cluster snapshot or terminating the copy operation.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RdsDeleteDbSnapshotOperator`
:param db_type: Type of the DB - either "instance" or "cluster"
:param db_snapshot_identifier: The identifier for the DB instance or DB cluster snapshot
"""
[docs] template_fields = ("db_snapshot_identifier",)
def __init__(
self,
*,
db_type: str,
db_snapshot_identifier: str,
wait_for_completion: bool = True,
**kwargs,
):
super().__init__(**kwargs)
self.db_type = RdsDbType(db_type)
self.db_snapshot_identifier = db_snapshot_identifier
self.wait_for_completion = wait_for_completion
[docs] def execute(self, context: Context) -> str:
self.log.info("Starting to delete snapshot '%s'", self.db_snapshot_identifier)
if self.db_type.value == "instance":
delete_instance_snap = self.hook.conn.delete_db_snapshot(
DBSnapshotIdentifier=self.db_snapshot_identifier,
)
delete_response = json.dumps(delete_instance_snap, default=str)
if self.wait_for_completion:
self.hook.wait_for_db_snapshot_state(self.db_snapshot_identifier, target_state="deleted")
else:
delete_cluster_snap = self.hook.conn.delete_db_cluster_snapshot(
DBClusterSnapshotIdentifier=self.db_snapshot_identifier,
)
delete_response = json.dumps(delete_cluster_snap, default=str)
if self.wait_for_completion:
self.hook.wait_for_db_cluster_snapshot_state(
self.db_snapshot_identifier, target_state="deleted"
)
return delete_response
[docs]class RdsStartExportTaskOperator(RdsBaseOperator):
"""
Starts an export of a snapshot to Amazon S3. The provided IAM role must have access to the S3 bucket.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RdsStartExportTaskOperator`
:param export_task_identifier: A unique identifier for the snapshot export task.
:param source_arn: The Amazon Resource Name (ARN) of the snapshot to export to Amazon S3.
:param s3_bucket_name: The name of the Amazon S3 bucket to export the snapshot to.
:param iam_role_arn: The name of the IAM role to use for writing to the Amazon S3 bucket.
:param kms_key_id: The ID of the Amazon Web Services KMS key to use to encrypt the snapshot.
:param s3_prefix: The Amazon S3 bucket prefix to use as the file name and path of the exported snapshot.
:param export_only: The data to be exported from the snapshot.
:param wait_for_completion: If True, waits for the DB snapshot export to complete. (default: True)
:param waiter_interval: The number of seconds to wait before checking the export status. (default: 30)
:param waiter_max_attempts: The number of attempts to make before failing. (default: 40)
"""
[docs] template_fields = (
"export_task_identifier",
"source_arn",
"s3_bucket_name",
"iam_role_arn",
"kms_key_id",
"s3_prefix",
"export_only",
)
def __init__(
self,
*,
export_task_identifier: str,
source_arn: str,
s3_bucket_name: str,
iam_role_arn: str,
kms_key_id: str,
s3_prefix: str = "",
export_only: list[str] | None = None,
wait_for_completion: bool = True,
waiter_interval: int = 30,
waiter_max_attempts: int = 40,
**kwargs,
):
super().__init__(**kwargs)
self.export_task_identifier = export_task_identifier
self.source_arn = source_arn
self.s3_bucket_name = s3_bucket_name
self.iam_role_arn = iam_role_arn
self.kms_key_id = kms_key_id
self.s3_prefix = s3_prefix
self.export_only = export_only or []
self.wait_for_completion = wait_for_completion
self.waiter_interval = waiter_interval
self.waiter_max_attempts = waiter_max_attempts
[docs] def execute(self, context: Context) -> str:
self.log.info("Starting export task %s for snapshot %s", self.export_task_identifier, self.source_arn)
start_export = self.hook.conn.start_export_task(
ExportTaskIdentifier=self.export_task_identifier,
SourceArn=self.source_arn,
S3BucketName=self.s3_bucket_name,
IamRoleArn=self.iam_role_arn,
KmsKeyId=self.kms_key_id,
S3Prefix=self.s3_prefix,
ExportOnly=self.export_only,
)
if self.wait_for_completion:
self.hook.wait_for_export_task_state(
export_task_id=self.export_task_identifier,
target_state="complete",
check_interval=self.waiter_interval,
max_attempts=self.waiter_max_attempts,
)
return json.dumps(start_export, default=str)
[docs]class RdsCancelExportTaskOperator(RdsBaseOperator):
"""
Cancels an export task in progress that is exporting a snapshot to Amazon S3.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RdsCancelExportTaskOperator`
:param export_task_identifier: The identifier of the snapshot export task to cancel
:param wait_for_completion: If True, waits for DB snapshot export to cancel. (default: True)
:param check_interval: The amount of time in seconds to wait between attempts
:param max_attempts: The maximum number of attempts to be made
"""
[docs] template_fields = ("export_task_identifier",)
def __init__(
self,
*,
export_task_identifier: str,
wait_for_completion: bool = True,
check_interval: int = 30,
max_attempts: int = 40,
**kwargs,
):
super().__init__(**kwargs)
self.export_task_identifier = export_task_identifier
self.wait_for_completion = wait_for_completion
self.check_interval = check_interval
self.max_attempts = max_attempts
[docs] def execute(self, context: Context) -> str:
self.log.info("Canceling export task %s", self.export_task_identifier)
cancel_export = self.hook.conn.cancel_export_task(
ExportTaskIdentifier=self.export_task_identifier,
)
if self.wait_for_completion:
self.hook.wait_for_export_task_state(
self.export_task_identifier,
target_state="canceled",
check_interval=self.check_interval,
max_attempts=self.max_attempts,
)
return json.dumps(cancel_export, default=str)
[docs]class RdsCreateEventSubscriptionOperator(RdsBaseOperator):
"""
Creates an RDS event notification subscription.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RdsCreateEventSubscriptionOperator`
:param subscription_name: The name of the subscription (must be less than 255 characters)
:param sns_topic_arn: The ARN of the SNS topic created for event notification
:param source_type: The type of source that is generating the events. Valid values: db-instance |
db-cluster | db-parameter-group | db-security-group | db-snapshot | db-cluster-snapshot | db-proxy
:param event_categories: A list of event categories for a source type that you want to subscribe to
`USER Events <https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_Events.Messages.html>`__
:param source_ids: The list of identifiers of the event sources for which events are returned
:param enabled: A value that indicates whether to activate the subscription (default True)l
:param tags: A dictionary of tags or a list of tags in format `[{"Key": "...", "Value": "..."},]`
`USER Tagging <https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_Tagging.html>`__
:param wait_for_completion: If True, waits for creation of the subscription to complete. (default: True)
"""
[docs] template_fields = (
"subscription_name",
"sns_topic_arn",
"source_type",
"event_categories",
"source_ids",
"tags",
)
def __init__(
self,
*,
subscription_name: str,
sns_topic_arn: str,
source_type: str = "",
event_categories: Sequence[str] | None = None,
source_ids: Sequence[str] | None = None,
enabled: bool = True,
tags: Sequence[TagTypeDef] | dict | None = None,
wait_for_completion: bool = True,
**kwargs,
):
super().__init__(**kwargs)
self.subscription_name = subscription_name
self.sns_topic_arn = sns_topic_arn
self.source_type = source_type
self.event_categories = event_categories or []
self.source_ids = source_ids or []
self.enabled = enabled
self.tags = tags
self.wait_for_completion = wait_for_completion
[docs] def execute(self, context: Context) -> str:
self.log.info("Creating event subscription '%s' to '%s'", self.subscription_name, self.sns_topic_arn)
formatted_tags = format_tags(self.tags)
create_subscription = self.hook.conn.create_event_subscription(
SubscriptionName=self.subscription_name,
SnsTopicArn=self.sns_topic_arn,
SourceType=self.source_type,
EventCategories=self.event_categories,
SourceIds=self.source_ids,
Enabled=self.enabled,
Tags=formatted_tags,
)
if self.wait_for_completion:
self.hook.wait_for_event_subscription_state(self.subscription_name, target_state="active")
return json.dumps(create_subscription, default=str)
[docs]class RdsDeleteEventSubscriptionOperator(RdsBaseOperator):
"""
Deletes an RDS event notification subscription.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RdsDeleteEventSubscriptionOperator`
:param subscription_name: The name of the RDS event notification subscription you want to delete
"""
[docs] template_fields = ("subscription_name",)
def __init__(
self,
*,
subscription_name: str,
**kwargs,
):
super().__init__(**kwargs)
self.subscription_name = subscription_name
[docs] def execute(self, context: Context) -> str:
self.log.info(
"Deleting event subscription %s",
self.subscription_name,
)
delete_subscription = self.hook.conn.delete_event_subscription(
SubscriptionName=self.subscription_name,
)
return json.dumps(delete_subscription, default=str)
[docs]class RdsCreateDbInstanceOperator(RdsBaseOperator):
"""
Creates an RDS DB instance.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RdsCreateDbInstanceOperator`
:param db_instance_identifier: The DB instance identifier, must start with a letter and
contain from 1 to 63 letters, numbers, or hyphens
:param db_instance_class: The compute and memory capacity of the DB instance, for example db.m5.large
:param engine: The name of the database engine to be used for this instance
:param rds_kwargs: Named arguments to pass to boto3 RDS client function ``create_db_instance``
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/rds.html#RDS.Client.create_db_instance
:param wait_for_completion: If True, waits for creation of the DB instance to complete. (default: True)
:param waiter_delay: Time (in seconds) to wait between two consecutive calls to check DB instance state
:param waiter_max_attempts: The maximum number of attempts to check DB instance state
:param deferrable: If True, the operator will wait asynchronously for the DB instance to be created.
This implies waiting for completion. This mode requires aiobotocore module to be installed.
(default: False)
"""
[docs] template_fields = ("db_instance_identifier", "db_instance_class", "engine", "rds_kwargs")
def __init__(
self,
*,
db_instance_identifier: str,
db_instance_class: str,
engine: str,
rds_kwargs: dict | None = None,
wait_for_completion: bool = True,
deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
waiter_delay: int = 30,
waiter_max_attempts: int = 60,
**kwargs,
):
super().__init__(**kwargs)
self.db_instance_identifier = db_instance_identifier
self.db_instance_class = db_instance_class
self.engine = engine
self.rds_kwargs = rds_kwargs or {}
self.wait_for_completion = False if deferrable else wait_for_completion
self.deferrable = deferrable
self.waiter_delay = waiter_delay
self.waiter_max_attempts = waiter_max_attempts
[docs] def execute(self, context: Context) -> str:
self.log.info("Creating new DB instance %s", self.db_instance_identifier)
create_db_instance = self.hook.conn.create_db_instance(
DBInstanceIdentifier=self.db_instance_identifier,
DBInstanceClass=self.db_instance_class,
Engine=self.engine,
**self.rds_kwargs,
)
if self.deferrable:
self.defer(
trigger=RdsDbAvailableTrigger(
db_identifier=self.db_instance_identifier,
waiter_delay=self.waiter_delay,
waiter_max_attempts=self.waiter_max_attempts,
aws_conn_id=self.aws_conn_id,
region_name=self.region_name,
# ignoring type because create_db_instance is a dict
response=create_db_instance, # type: ignore[arg-type]
db_type=RdsDbType.INSTANCE,
),
method_name="execute_complete",
timeout=timedelta(seconds=self.waiter_delay * self.waiter_max_attempts),
)
if self.wait_for_completion:
waiter = self.hook.conn.get_waiter("db_instance_available")
wait(
waiter=waiter,
waiter_delay=self.waiter_delay,
waiter_max_attempts=self.waiter_max_attempts,
args={"DBInstanceIdentifier": self.db_instance_identifier},
failure_message="DB instance creation failed",
status_message="DB Instance status is",
status_args=["DBInstances[0].DBInstanceStatus"],
)
return json.dumps(create_db_instance, default=str)
[docs] def execute_complete(self, context: Context, event: dict[str, Any] | None = None) -> str:
event = validate_execute_complete_event(event)
if event["status"] != "success":
raise AirflowException(f"DB instance creation failed: {event}")
return json.dumps(event["response"], default=str)
[docs]class RdsDeleteDbInstanceOperator(RdsBaseOperator):
"""
Deletes an RDS DB Instance.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RdsDeleteDbInstanceOperator`
:param db_instance_identifier: The DB instance identifier for the DB instance to be deleted
:param rds_kwargs: Named arguments to pass to boto3 RDS client function ``delete_db_instance``
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/rds.html#RDS.Client.delete_db_instance
:param wait_for_completion: If True, waits for deletion of the DB instance to complete. (default: True)
:param waiter_delay: Time (in seconds) to wait between two consecutive calls to check DB instance state
:param waiter_max_attempts: The maximum number of attempts to check DB instance state
:param deferrable: If True, the operator will wait asynchronously for the DB instance to be created.
This implies waiting for completion. This mode requires aiobotocore module to be installed.
(default: False)
"""
[docs] template_fields = ("db_instance_identifier", "rds_kwargs")
def __init__(
self,
*,
db_instance_identifier: str,
rds_kwargs: dict | None = None,
wait_for_completion: bool = True,
deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
waiter_delay: int = 30,
waiter_max_attempts: int = 60,
**kwargs,
):
super().__init__(**kwargs)
self.db_instance_identifier = db_instance_identifier
self.rds_kwargs = rds_kwargs or {}
self.wait_for_completion = False if deferrable else wait_for_completion
self.deferrable = deferrable
self.waiter_delay = waiter_delay
self.waiter_max_attempts = waiter_max_attempts
[docs] def execute(self, context: Context) -> str:
self.log.info("Deleting DB instance %s", self.db_instance_identifier)
delete_db_instance = self.hook.conn.delete_db_instance(
DBInstanceIdentifier=self.db_instance_identifier,
**self.rds_kwargs,
)
if self.deferrable:
self.defer(
trigger=RdsDbDeletedTrigger(
db_identifier=self.db_instance_identifier,
waiter_delay=self.waiter_delay,
waiter_max_attempts=self.waiter_max_attempts,
aws_conn_id=self.aws_conn_id,
region_name=self.region_name,
# ignoring type because delete_db_instance is a dict
response=delete_db_instance, # type: ignore[arg-type]
db_type=RdsDbType.INSTANCE,
),
method_name="execute_complete",
timeout=timedelta(seconds=self.waiter_delay * self.waiter_max_attempts),
)
if self.wait_for_completion:
waiter = self.hook.conn.get_waiter("db_instance_deleted")
wait(
waiter=waiter,
waiter_delay=self.waiter_delay,
waiter_max_attempts=self.waiter_max_attempts,
args={"DBInstanceIdentifier": self.db_instance_identifier},
failure_message="DB instance deletion failed",
status_message="DB Instance status is",
status_args=["DBInstances[0].DBInstanceStatus"],
)
return json.dumps(delete_db_instance, default=str)
[docs] def execute_complete(self, context: Context, event: dict[str, Any] | None = None) -> str:
event = validate_execute_complete_event(event)
if event["status"] != "success":
raise AirflowException(f"DB instance deletion failed: {event}")
return json.dumps(event["response"], default=str)
[docs]class RdsStartDbOperator(RdsBaseOperator):
"""
Starts an RDS DB instance / cluster.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RdsStartDbOperator`
:param db_identifier: The AWS identifier of the DB to start
:param db_type: Type of the DB - either "instance" or "cluster" (default: "instance")
:param wait_for_completion: If True, waits for DB to start. (default: True)
:param waiter_delay: Time (in seconds) to wait between two consecutive calls to check DB instance state
:param waiter_max_attempts: The maximum number of attempts to check DB instance state
:param deferrable: If True, the operator will wait asynchronously for the DB instance to be created.
This implies waiting for completion. This mode requires aiobotocore module to be installed.
"""
[docs] template_fields = ("db_identifier", "db_type")
def __init__(
self,
*,
db_identifier: str,
db_type: RdsDbType | str = RdsDbType.INSTANCE,
wait_for_completion: bool = True,
waiter_delay: int = 30,
waiter_max_attempts: int = 40,
deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
**kwargs,
):
super().__init__(**kwargs)
self.db_identifier = db_identifier
self.db_type = db_type
self.wait_for_completion = wait_for_completion
self.waiter_delay = waiter_delay
self.waiter_max_attempts = waiter_max_attempts
self.deferrable = deferrable
[docs] def execute(self, context: Context) -> str:
self.db_type = RdsDbType(self.db_type)
start_db_response: dict[str, Any] = self._start_db()
if self.deferrable:
self.defer(
trigger=RdsDbAvailableTrigger(
db_identifier=self.db_identifier,
waiter_delay=self.waiter_delay,
waiter_max_attempts=self.waiter_max_attempts,
aws_conn_id=self.aws_conn_id,
region_name=self.region_name,
response=start_db_response,
db_type=self.db_type,
),
method_name="execute_complete",
)
elif self.wait_for_completion:
self._wait_until_db_available()
return json.dumps(start_db_response, default=str)
[docs] def execute_complete(self, context: Context, event: dict[str, Any] | None = None) -> str:
event = validate_execute_complete_event(event)
if event["status"] != "success":
raise AirflowException(f"Failed to start DB: {event}")
return json.dumps(event["response"], default=str)
def _start_db(self):
self.log.info("Starting DB %s '%s'", self.db_type.value, self.db_identifier)
if self.db_type == RdsDbType.INSTANCE:
response = self.hook.conn.start_db_instance(
DBInstanceIdentifier=self.db_identifier,
)
else:
response = self.hook.conn.start_db_cluster(DBClusterIdentifier=self.db_identifier)
return response
def _wait_until_db_available(self):
self.log.info("Waiting for DB %s to reach 'available' state", self.db_type.value)
if self.db_type == RdsDbType.INSTANCE:
self.hook.wait_for_db_instance_state(
self.db_identifier,
target_state="available",
check_interval=self.waiter_delay,
max_attempts=self.waiter_max_attempts,
)
else:
self.hook.wait_for_db_cluster_state(
self.db_identifier,
target_state="available",
check_interval=self.waiter_delay,
max_attempts=self.waiter_max_attempts,
)
[docs]class RdsStopDbOperator(RdsBaseOperator):
"""
Stops an RDS DB instance / cluster.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RdsStopDbOperator`
:param db_identifier: The AWS identifier of the DB to stop
:param db_type: Type of the DB - either "instance" or "cluster" (default: "instance")
:param db_snapshot_identifier: The instance identifier of the DB Snapshot to create before
stopping the DB instance. The default value (None) skips snapshot creation. This
parameter is ignored when ``db_type`` is "cluster"
:param wait_for_completion: If True, waits for DB to stop. (default: True)
:param waiter_delay: Time (in seconds) to wait between two consecutive calls to check DB instance state
:param waiter_max_attempts: The maximum number of attempts to check DB instance state
:param deferrable: If True, the operator will wait asynchronously for the DB instance to be created.
This implies waiting for completion. This mode requires aiobotocore module to be installed.
"""
[docs] template_fields = ("db_identifier", "db_snapshot_identifier", "db_type")
def __init__(
self,
*,
db_identifier: str,
db_type: RdsDbType | str = RdsDbType.INSTANCE,
db_snapshot_identifier: str | None = None,
wait_for_completion: bool = True,
waiter_delay: int = 30,
waiter_max_attempts: int = 40,
deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
**kwargs,
):
super().__init__(**kwargs)
self.db_identifier = db_identifier
self.db_type = db_type
self.db_snapshot_identifier = db_snapshot_identifier
self.wait_for_completion = wait_for_completion
self.waiter_delay = waiter_delay
self.waiter_max_attempts = waiter_max_attempts
self.deferrable = deferrable
[docs] def execute(self, context: Context) -> str:
self.db_type = RdsDbType(self.db_type)
stop_db_response: dict[str, Any] = self._stop_db()
if self.deferrable:
self.defer(
trigger=RdsDbStoppedTrigger(
db_identifier=self.db_identifier,
waiter_delay=self.waiter_delay,
waiter_max_attempts=self.waiter_max_attempts,
aws_conn_id=self.aws_conn_id,
region_name=self.region_name,
response=stop_db_response,
db_type=self.db_type,
),
method_name="execute_complete",
)
elif self.wait_for_completion:
waiter = self.hook.get_waiter(f"db_{self.db_type.value}_stopped")
waiter_key = (
"DBInstanceIdentifier" if self.db_type == RdsDbType.INSTANCE else "DBClusterIdentifier"
)
kwargs = {waiter_key: self.db_identifier}
waiter.wait(
WaiterConfig=prune_dict(
{
"Delay": self.waiter_delay,
"MaxAttempts": self.waiter_max_attempts,
}
),
**kwargs,
)
return json.dumps(stop_db_response, default=str)
[docs] def execute_complete(self, context: Context, event: dict[str, Any] | None = None) -> str:
event = validate_execute_complete_event(event)
if event["status"] != "success":
raise AirflowException(f"Failed to start DB: {event}")
return json.dumps(event["response"], default=str)
def _stop_db(self):
self.log.info("Stopping DB %s '%s'", self.db_type.value, self.db_identifier)
if self.db_type == RdsDbType.INSTANCE:
conn_params = {"DBInstanceIdentifier": self.db_identifier}
# The db snapshot parameter is optional, but the AWS SDK raises an exception
# if passed a null value. Only set snapshot id if value is present.
if self.db_snapshot_identifier:
conn_params["DBSnapshotIdentifier"] = self.db_snapshot_identifier
response = self.hook.conn.stop_db_instance(**conn_params)
else:
if self.db_snapshot_identifier:
self.log.warning(
"'db_snapshot_identifier' does not apply to db clusters. "
"Remove it to silence this warning."
)
response = self.hook.conn.stop_db_cluster(DBClusterIdentifier=self.db_identifier)
return response
__all__ = [
"RdsCreateDbSnapshotOperator",
"RdsCopyDbSnapshotOperator",
"RdsDeleteDbSnapshotOperator",
"RdsCreateEventSubscriptionOperator",
"RdsDeleteEventSubscriptionOperator",
"RdsStartExportTaskOperator",
"RdsCancelExportTaskOperator",
"RdsCreateDbInstanceOperator",
"RdsDeleteDbInstanceOperator",
"RdsStartDbOperator",
"RdsStopDbOperator",
]