This module contains a Google Cloud Data Fusion sensors.

Module Contents



Check the status of the pipeline in the Google Cloud Data Fusion.

class, pipeline_id, expected_statuses, instance_name, location, failure_statuses=None, project_id=PROVIDE_PROJECT_ID, namespace='default', gcp_conn_id='google_cloud_default', impersonation_chain=None, **kwargs)[source]

Bases: airflow.sensors.base.BaseSensorOperator

Check the status of the pipeline in the Google Cloud Data Fusion.

  • pipeline_name (str) – Your pipeline name.

  • pipeline_id (str) – Your pipeline ID.

  • expected_statuses (Iterable[str]) – State that is expected

  • failure_statuses (Iterable[str] | None) – State that will terminate the sensor with an exception

  • instance_name (str) – The name of the instance.

  • location (str) – The Cloud Data Fusion location in which to handle the request.

  • project_id (str) – The ID of the Google Cloud project that the instance belongs to.

  • namespace (str) – If your pipeline belongs to a Basic edition instance, the namespace ID is always default. If your pipeline belongs to an Enterprise edition instance, you can create a namespace.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | Sequence[str] | None) – 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: Sequence[str] = ('pipeline_id',)[source]

Override when deriving this class.

Was this entry helpful?