Source code for airflow.providers.google.cloud.sensors.dataproc

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"""This module contains a Dataproc Job sensor."""
# pylint: disable=C0302

from google.cloud.dataproc_v1beta2.types import JobStatus

from airflow.exceptions import AirflowException
from airflow.providers.google.cloud.hooks.dataproc import DataprocHook
from airflow.sensors.base import BaseSensorOperator
from airflow.utils.decorators import apply_defaults


[docs]class DataprocJobSensor(BaseSensorOperator): """ Check for the state of a previously submitted Dataproc job. :param project_id: The ID of the google cloud project in which to create the cluster. (templated) :type project_id: str :param dataproc_job_id: The Dataproc job ID to poll. (templated) :type dataproc_job_id: str :param location: Required. The Cloud Dataproc region in which to handle the request. (templated) :type location: str :param gcp_conn_id: The connection ID to use connecting to Google Cloud Platform. :type gcp_conn_id: str """
[docs] template_fields = ('project_id', 'location', 'dataproc_job_id')
[docs] ui_color = '#f0eee4'
@apply_defaults def __init__( self, *, project_id: str, dataproc_job_id: str, location: str, gcp_conn_id: str = 'google_cloud_default', **kwargs, ) -> None: super().__init__(**kwargs) self.project_id = project_id self.gcp_conn_id = gcp_conn_id self.dataproc_job_id = dataproc_job_id self.location = location
[docs] def poke(self, context: dict) -> bool: hook = DataprocHook(gcp_conn_id=self.gcp_conn_id) job = hook.get_job(job_id=self.dataproc_job_id, location=self.location, project_id=self.project_id) state = job.status.state if state == JobStatus.ERROR: raise AirflowException(f'Job failed:\n{job}') elif state in {JobStatus.CANCELLED, JobStatus.CANCEL_PENDING, JobStatus.CANCEL_STARTED}: raise AirflowException(f'Job was cancelled:\n{job}') elif JobStatus.DONE == state: self.log.debug("Job %s completed successfully.", self.dataproc_job_id) return True elif JobStatus.ATTEMPT_FAILURE == state: self.log.debug("Job %s attempt has failed.", self.dataproc_job_id) self.log.info("Waiting for job %s to complete.", self.dataproc_job_id) return False

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