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)