# -*- coding: utf-8 -*- # # Copyright 2015 Google LLC. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Wait for a job to complete.""" from __future__ import absolute_import from __future__ import division from __future__ import unicode_literals from googlecloudsdk.api_lib.dataproc import dataproc as dp from googlecloudsdk.api_lib.dataproc import util from googlecloudsdk.calliope import base from googlecloudsdk.command_lib.dataproc import flags from googlecloudsdk.core import log class Wait(base.Command): r"""View the output of a job as it runs or after it completes. View the output of a job as it runs or after it completes. ## EXAMPLES To see a list of all jobs, run: $ gcloud dataproc jobs list To display these jobs with their respective IDs and underlying REST calls, run: $ gcloud dataproc jobs list --format "table(reference.jobId)" \ --limit 1 --log-http To view the output of a job as it runs, run: $ {command} job_id """ @classmethod def Args(cls, parser): dataproc = dp.Dataproc(cls.ReleaseTrack()) flags.AddJobResourceArg(parser, 'wait for', dataproc.api_version) def Run(self, args): dataproc = dp.Dataproc(self.ReleaseTrack()) job_ref = args.CONCEPTS.job.Parse() job = dataproc.client.projects_regions_jobs.Get( dataproc.messages.DataprocProjectsRegionsJobsGetRequest( projectId=job_ref.projectId, region=job_ref.region, jobId=job_ref.jobId)) # TODO(b/36050945) Check if Job is still running and fail or handle 401. job = util.WaitForJobTermination( dataproc, job, job_ref, message='Waiting for job completion', goal_state=dataproc.messages.JobStatus.StateValueValuesEnum.DONE, error_state=dataproc.messages.JobStatus.StateValueValuesEnum.ERROR, stream_driver_log=True) log.status.Print('Job [{0}] finished successfully.'.format(args.job)) return job