A google_dataproc_jobs
is used to test a Google Job resource
describe google_dataproc_jobs(project_id: 'value_project_id', region: 'value_region') do
it { should exist }
its('driver_output_resource_uris') { should include 'value_driveroutputresourceuri' }
its('driver_control_files_uris') { should include 'value_drivercontrolfilesuri' }
its('job_uuids') { should include 'value_jobuuid' }
end
Properties that can be accessed from the google_dataproc_jobs
resource:
See google_dataproc_job.md for more detailed information
references
: an array ofgoogle_dataproc_job
referenceplacements
: an array ofgoogle_dataproc_job
placementhadoop_jobs
: an array ofgoogle_dataproc_job
hadoop_jobspark_jobs
: an array ofgoogle_dataproc_job
spark_jobpyspark_jobs
: an array ofgoogle_dataproc_job
pyspark_jobhive_jobs
: an array ofgoogle_dataproc_job
hive_jobpig_jobs
: an array ofgoogle_dataproc_job
pig_jobspark_r_jobs
: an array ofgoogle_dataproc_job
spark_r_jobspark_sql_jobs
: an array ofgoogle_dataproc_job
spark_sql_jobpresto_jobs
: an array ofgoogle_dataproc_job
presto_jobtrino_jobs
: an array ofgoogle_dataproc_job
trino_jobflink_jobs
: an array ofgoogle_dataproc_job
flink_jobstatuses
: an array ofgoogle_dataproc_job
statusstatus_histories
: an array ofgoogle_dataproc_job
status_historyyarn_applications
: an array ofgoogle_dataproc_job
yarn_applicationsdriver_output_resource_uris
: an array ofgoogle_dataproc_job
driver_output_resource_uridriver_control_files_uris
: an array ofgoogle_dataproc_job
driver_control_files_urilabels
: an array ofgoogle_dataproc_job
labelsschedulings
: an array ofgoogle_dataproc_job
schedulingjob_uuids
: an array ofgoogle_dataproc_job
job_uuiddones
: an array ofgoogle_dataproc_job
donedriver_scheduling_configs
: an array ofgoogle_dataproc_job
driver_scheduling_config
This resource supports all of the above properties as filter criteria, which can be used
with where
as a block or a method.
Ensure the Cloud Dataproc API is enabled for the current project.