AlejandroMorgante commented on code in PR #67524:
URL: https://github.com/apache/airflow/pull/67524#discussion_r3314647660
##########
providers/amazon/docs/changelog.rst:
##########
@@ -32,6 +32,7 @@ Changelog
Features
~~~~~~~~
+* ``Add DmsModifyTaskOperator to modify DMS replication tasks with
stop/restart lifecycle (#67524)``
Review Comment:
Good catch, reverted.
##########
providers/amazon/src/airflow/providers/amazon/aws/operators/dms.py:
##########
@@ -118,6 +121,274 @@ def execute(self, context: Context):
return task_arn
+class DmsModifyTaskOperator(AwsBaseOperator[DmsHook]):
+ """
+ Modifies an existing AWS DMS replication task.
+
+ If the task is not already stopped, set ``stop_task_before=True`` to stop
it first.
+ To restart the task after modification, set ``restart_task_after=True``.
+
+ .. seealso::
+ For more information on how to use this operator, take a look at the
guide:
+ :ref:`howto/operator:DmsModifyTaskOperator`
+
+ :param replication_task_arn: Replication task ARN
+ :param table_mappings: New table mappings. If not provided, existing
mappings are kept.
+ :param migration_type: Migration type
('full-load'|'cdc'|'full-load-and-cdc').
+ If not provided, existing type is kept.
+ :param replication_task_settings: Task settings dict. If not provided,
existing settings are kept.
+ :param cdc_start_time: Start time for CDC.
+ :param cdc_start_position: Indicates when to start CDC (checkpoint or
LSN/SCN format).
+ Mutually exclusive with cdc_start_time.
+ :param cdc_stop_position: Indicates when to stop CDC.
+ :param stop_task_before: If True, stop the task before modifying if it is
not already stopped.
+ :param restart_task_after: If True, restart the task after modifying.
+ :param start_replication_task_type: Start type used when restarting the
task.
+ One of 'start-replication', 'resume-processing', or 'reload-target'.
+ Defaults to 'resume-processing'. Only used when
``restart_task_after=True``.
+ :param wait_for_completion: Only applies when the task is already in
``modifying`` state
+ when ``execute()`` is called. If True, wait for the modification to
finish before
+ proceeding. If False, raises immediately instead of waiting.
+ :param deferrable: Run the operator in deferrable mode.
+ :param waiter_delay: Seconds between waiter polls (default: 30).
+ :param waiter_max_attempts: Maximum waiter poll attempts (default: 60).
+ :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).
+ :param region_name: AWS region_name. If not specified then the default
boto3 behaviour is used.
+ :param verify: Whether or not to verify SSL certificates. See:
+
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html
+ :param botocore_config: Configuration dictionary (key-values) for botocore
client. See:
+
https://botocore.amazonaws.com/v1/documentation/api/latest/reference/config.html
+ """
+
+ STOPPED_STATES = ("stopped", "ready", "failed", "created")
+ TERMINAL_STATES = frozenset({"failed", "stopped", "ready", "created",
"deleting"})
+
+ aws_hook_class = DmsHook
+ template_fields: Sequence[str] = aws_template_fields(
+ "replication_task_arn",
+ "table_mappings",
+ "migration_type",
+ "replication_task_settings",
+ "cdc_start_time",
+ "cdc_start_position",
+ "cdc_stop_position",
+ "start_replication_task_type",
+ )
+ template_fields_renderers: ClassVar[dict] = {
+ "table_mappings": "json",
+ "replication_task_settings": "json",
+ }
+
+ def __init__(
+ self,
+ *,
+ replication_task_arn: str,
+ table_mappings: dict | None = None,
+ migration_type: str | None = None,
+ replication_task_settings: dict | None = None,
+ cdc_start_time: datetime | None = None,
+ cdc_start_position: str | None = None,
+ cdc_stop_position: str | None = None,
+ stop_task_before: bool = False,
+ restart_task_after: bool = False,
+ start_replication_task_type: str = "resume-processing",
+ 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)
+ if cdc_start_time and cdc_start_position:
+ raise ValueError("Only one of cdc_start_time or cdc_start_position
can be provided.")
+ self.replication_task_arn = replication_task_arn
+ self.table_mappings = table_mappings
+ self.migration_type = migration_type
+ self.replication_task_settings = replication_task_settings
+ self.cdc_start_time = cdc_start_time
+ self.cdc_start_position = cdc_start_position
+ self.cdc_stop_position = cdc_stop_position
+ self.stop_task_before = stop_task_before
+ self.restart_task_after = restart_task_after
+ self.start_replication_task_type = start_replication_task_type
+ self.wait_for_completion = wait_for_completion
+ self.deferrable = deferrable
+ self.waiter_delay = waiter_delay
+ self.waiter_max_attempts = waiter_max_attempts
+
+ def execute(self, context: Context) -> dict:
+ tasks = self.hook.find_replication_tasks_by_arn(
+ replication_task_arn=self.replication_task_arn,
without_settings=True
+ )
+ if not tasks:
+ raise AirflowException(f"Replication task
{self.replication_task_arn} not found.")
+
+ current_status = tasks[0].get("Status", "").lower()
+ self.log.info(
+ "Current status of replication task(%s) is '%s'.",
self.replication_task_arn, current_status
+ )
+
+ if current_status == "modifying":
+ # boto3 stopped/ready waiters treat 'modifying' as a terminal
failure — use poll loop.
+ if not self.wait_for_completion:
+ raise AirflowException(
Review Comment:
Done — ValueError for not-found, RuntimeError for state errors and timeouts.
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