def execute(self, context: "Context") -> dict:
hook = DataplexHook(
gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to,
api_version=self.api_version,
impersonation_chain=self.impersonation_chain,
)
self.log.info("Creating Dataplex task %s", self.dataplex_task_id)
DataplexTaskLink.persist(context=context, task_instance=self)
try:
operation = hook.create_task(
project_id=self.project_id,
region=self.region,
lake_id=self.lake_id,
body=self.body,
dataplex_task_id=self.dataplex_task_id,
validate_only=self.validate_only,
retry=self.retry,
timeout=self.timeout,
metadata=self.metadata,
)
if not self.asynchronous:
self.log.info("Waiting for Dataplex task %s to be created",
self.dataplex_task_id)
task = hook.wait_for_operation(timeout=self.timeout,
operation=operation)
self.log.info("Task %s created successfully",
self.dataplex_task_id)
else:
is_done = operation.done()
self.log.info("Is operation done already? %s", is_done)
return is_done
except HttpError as err:
if err.resp.status not in (409, '409'):
raise
self.log.info("Task %s already exists", self.dataplex_task_id)
# Wait for task to be ready
for time_to_wait in exponential_sleep_generator(initial=10,
maximum=120):
task = hook.get_task(
project_id=self.project_id,
region=self.region,
lake_id=self.lake_id,
dataplex_task_id=self.dataplex_task_id,
retry=self.retry,
timeout=self.timeout,
metadata=self.metadata,
)
if task['state'] != 'CREATING':
break
sleep(time_to_wait)
return Task.to_dict(task)
def execute(self, context: "Context") -> dict:
hook = DataplexHook(
gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to,
api_version=self.api_version,
impersonation_chain=self.impersonation_chain,
)
self.log.info("Retrieving Dataplex task %s", self.dataplex_task_id)
DataplexTaskLink.persist(context=context, task_instance=self)
task = hook.get_task(
project_id=self.project_id,
region=self.region,
lake_id=self.lake_id,
dataplex_task_id=self.dataplex_task_id,
retry=self.retry,
timeout=self.timeout,
metadata=self.metadata,
)
return Task.to_dict(task)
class DataplexGetTaskOperator(BaseOperator):
"""
Get task resource.
:param project_id: Required. The ID of the Google Cloud project that the task belongs to.
:param region: Required. The ID of the Google Cloud region that the task belongs to.
:param lake_id: Required. The ID of the Google Cloud lake that the task belongs to.
:param dataplex_task_id: Required. Task identifier.
:param api_version: The version of the api that will be requested for example 'v3'.
:param retry: A retry object used to retry requests. If `None` is specified, requests
will not be retried.
:param timeout: The amount of time, in seconds, to wait for the request to complete.
Note that if `retry` is specified, the timeout applies to each individual attempt.
:param metadata: Additional metadata that is provided to the method.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate, if any. For this to work, the service accountmaking the
request must have domain-wide delegation enabled.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
"""
template_fields = ("project_id", "dataplex_task_id", "delegate_to", "impersonation_chain")
operator_extra_links = (DataplexTaskLink(),)
def __init__(
self,
project_id: str,
region: str,
lake_id: str,
dataplex_task_id: str,
api_version: str = "v1",
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Sequence[Tuple[str, str]] = (),
gcp_conn_id: str = "google_cloud_default",
delegate_to: Optional[str] = None,
impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
*args,
**kwargs,
) -> None:
super().__init__(*args, **kwargs)
self.project_id = project_id
self.region = region
self.lake_id = lake_id
self.dataplex_task_id = dataplex_task_id
self.api_version = api_version
self.retry = retry
self.timeout = timeout
self.metadata = metadata
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
def execute(self, context: "Context") -> dict:
hook = DataplexHook(
gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to,
api_version=self.api_version,
impersonation_chain=self.impersonation_chain,
)
self.log.info("Retrieving Dataplex task %s", self.dataplex_task_id)
DataplexTaskLink.persist(context=context, task_instance=self)
task = hook.get_task(
project_id=self.project_id,
region=self.region,
lake_id=self.lake_id,
dataplex_task_id=self.dataplex_task_id,
retry=self.retry,
timeout=self.timeout,
metadata=self.metadata,
)
return Task.to_dict(task)
class DataplexCreateTaskOperator(BaseOperator):
"""
Creates a task resource within a lake.
:param project_id: Required. The ID of the Google Cloud project that the task belongs to.
:param region: Required. The ID of the Google Cloud region that the task belongs to.
:param lake_id: Required. The ID of the Google Cloud lake that the task belongs to.
:param body: Required. The Request body contains an instance of Task.
:param dataplex_task_id: Required. Task identifier.
:param validate_only: Optional. Only validate the request, but do not perform mutations. The default is
false.
:param api_version: The version of the api that will be requested for example 'v3'.
:param retry: A retry object used to retry requests. If `None` is specified, requests
will not be retried.
:param timeout: The amount of time, in seconds, to wait for the request to complete.
Note that if `retry` is specified, the timeout applies to each individual attempt.
:param metadata: Additional metadata that is provided to the method.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate, if any. For this to work, the service accountmaking the
request must have domain-wide delegation enabled.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
:param asynchronous: Flag informing should the Dataplex task be created asynchronously.
This is useful for long running creating tasks and
waiting on them asynchronously using the DataplexTaskSensor
"""
template_fields = (
"project_id",
"dataplex_task_id",
"body",
"validate_only",
"delegate_to",
"impersonation_chain",
)
template_fields_renderers = {'body': 'json'}
operator_extra_links = (DataplexTaskLink(),)
def __init__(
self,
project_id: str,
region: str,
lake_id: str,
body: Dict[str, Any],
dataplex_task_id: str,
validate_only: Optional[bool] = None,
api_version: str = "v1",
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Sequence[Tuple[str, str]] = (),
gcp_conn_id: str = "google_cloud_default",
delegate_to: Optional[str] = None,
impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
asynchronous: bool = False,
*args,
**kwargs,
) -> None:
super().__init__(*args, **kwargs)
self.project_id = project_id
self.region = region
self.lake_id = lake_id
self.body = body
self.dataplex_task_id = dataplex_task_id
self.validate_only = validate_only
self.api_version = api_version
self.retry = retry
self.timeout = timeout
self.metadata = metadata
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
self.asynchronous = asynchronous
def execute(self, context: "Context") -> dict:
hook = DataplexHook(
gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to,
api_version=self.api_version,
impersonation_chain=self.impersonation_chain,
)
self.log.info("Creating Dataplex task %s", self.dataplex_task_id)
DataplexTaskLink.persist(context=context, task_instance=self)
try:
operation = hook.create_task(
project_id=self.project_id,
region=self.region,
lake_id=self.lake_id,
body=self.body,
dataplex_task_id=self.dataplex_task_id,
validate_only=self.validate_only,
retry=self.retry,
timeout=self.timeout,
metadata=self.metadata,
)
if not self.asynchronous:
self.log.info("Waiting for Dataplex task %s to be created", self.dataplex_task_id)
task = hook.wait_for_operation(timeout=self.timeout, operation=operation)
self.log.info("Task %s created successfully", self.dataplex_task_id)
else:
is_done = operation.done()
self.log.info("Is operation done already? %s", is_done)
return is_done
except HttpError as err:
if err.resp.status not in (409, '409'):
raise
self.log.info("Task %s already exists", self.dataplex_task_id)
# Wait for task to be ready
for time_to_wait in exponential_sleep_generator(initial=10, maximum=120):
task = hook.get_task(
project_id=self.project_id,
region=self.region,
lake_id=self.lake_id,
dataplex_task_id=self.dataplex_task_id,
retry=self.retry,
timeout=self.timeout,
metadata=self.metadata,
)
if task['state'] != 'CREATING':
break
sleep(time_to_wait)
return Task.to_dict(task)