Class: Google::Apis::DataprocV1::Job
- Inherits:
-
Object
- Object
- Google::Apis::DataprocV1::Job
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- generated/google/apis/dataproc_v1/classes.rb,
generated/google/apis/dataproc_v1/representations.rb,
generated/google/apis/dataproc_v1/representations.rb
Overview
A Cloud Dataproc job resource.
Instance Attribute Summary collapse
-
#driver_control_files_uri ⇒ String
Output only.
-
#driver_output_resource_uri ⇒ String
Output only.
-
#hadoop_job ⇒ Google::Apis::DataprocV1::HadoopJob
A Cloud Dataproc job for running Apache Hadoop MapReduce (https://hadoop. apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/ MapReduceTutorial.html) jobs on Apache Hadoop YARN (https://hadoop.apache.org/ docs/r2.7.1/hadoop-yarn/hadoop-yarn-site/YARN.html).
-
#hive_job ⇒ Google::Apis::DataprocV1::HiveJob
A Cloud Dataproc job for running Apache Hive (https://hive.apache.org/) queries on YARN.
-
#job_uuid ⇒ String
Output only.
-
#labels ⇒ Hash<String,String>
Optional.
-
#pig_job ⇒ Google::Apis::DataprocV1::PigJob
A Cloud Dataproc job for running Apache Pig (https://pig.apache.org/) queries on YARN.
-
#placement ⇒ Google::Apis::DataprocV1::JobPlacement
Cloud Dataproc job config.
-
#pyspark_job ⇒ Google::Apis::DataprocV1::PySparkJob
A Cloud Dataproc job for running Apache PySpark (https://spark.apache.org/docs/ 0.9.0/python-programming-guide.html) applications on YARN.
-
#reference ⇒ Google::Apis::DataprocV1::JobReference
Encapsulates the full scoping used to reference a job.
-
#scheduling ⇒ Google::Apis::DataprocV1::JobScheduling
Job scheduling options.
-
#spark_job ⇒ Google::Apis::DataprocV1::SparkJob
A Cloud Dataproc job for running Apache Spark (http://spark.apache.org/) applications on YARN.
-
#spark_sql_job ⇒ Google::Apis::DataprocV1::SparkSqlJob
A Cloud Dataproc job for running Apache Spark SQL (http://spark.apache.org/sql/ ) queries.
-
#status ⇒ Google::Apis::DataprocV1::JobStatus
Cloud Dataproc job status.
-
#status_history ⇒ Array<Google::Apis::DataprocV1::JobStatus>
Output only.
-
#yarn_applications ⇒ Array<Google::Apis::DataprocV1::YarnApplication>
Output only.
Instance Method Summary collapse
-
#initialize(**args) ⇒ Job
constructor
A new instance of Job.
-
#update!(**args) ⇒ Object
Update properties of this object.
Methods included from Core::JsonObjectSupport
Methods included from Core::Hashable
Constructor Details
#initialize(**args) ⇒ Job
Returns a new instance of Job
1383 1384 1385 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1383 def initialize(**args) update!(**args) end |
Instance Attribute Details
#driver_control_files_uri ⇒ String
Output only. If present, the location of miscellaneous control files which may
be used as part of job setup and handling. If not present, control files may
be placed in the same location as driver_output_uri.
Corresponds to the JSON property driverControlFilesUri
1289 1290 1291 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1289 def driver_control_files_uri @driver_control_files_uri end |
#driver_output_resource_uri ⇒ String
Output only. A URI pointing to the location of the stdout of the job's driver
program.
Corresponds to the JSON property driverOutputResourceUri
1295 1296 1297 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1295 def driver_output_resource_uri @driver_output_resource_uri end |
#hadoop_job ⇒ Google::Apis::DataprocV1::HadoopJob
A Cloud Dataproc job for running Apache Hadoop MapReduce (https://hadoop.
apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/
MapReduceTutorial.html) jobs on Apache Hadoop YARN (https://hadoop.apache.org/
docs/r2.7.1/hadoop-yarn/hadoop-yarn-site/YARN.html).
Corresponds to the JSON property hadoopJob
1303 1304 1305 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1303 def hadoop_job @hadoop_job end |
#hive_job ⇒ Google::Apis::DataprocV1::HiveJob
A Cloud Dataproc job for running Apache Hive (https://hive.apache.org/)
queries on YARN.
Corresponds to the JSON property hiveJob
1309 1310 1311 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1309 def hive_job @hive_job end |
#job_uuid ⇒ String
Output only. A UUID that uniquely identifies a job within the project over
time. This is in contrast to a user-settable reference.job_id that may be
reused over time.
Corresponds to the JSON property jobUuid
1316 1317 1318 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1316 def job_uuid @job_uuid end |
#labels ⇒ Hash<String,String>
Optional. The labels to associate with this job. Label keys must contain 1 to
63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.
txt). Label values may be empty, but, if present, must contain 1 to 63
characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt)
. No more than 32 labels can be associated with a job.
Corresponds to the JSON property labels
1325 1326 1327 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1325 def labels @labels end |
#pig_job ⇒ Google::Apis::DataprocV1::PigJob
A Cloud Dataproc job for running Apache Pig (https://pig.apache.org/) queries
on YARN.
Corresponds to the JSON property pigJob
1331 1332 1333 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1331 def pig_job @pig_job end |
#placement ⇒ Google::Apis::DataprocV1::JobPlacement
Cloud Dataproc job config.
Corresponds to the JSON property placement
1336 1337 1338 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1336 def placement @placement end |
#pyspark_job ⇒ Google::Apis::DataprocV1::PySparkJob
A Cloud Dataproc job for running Apache PySpark (https://spark.apache.org/docs/
0.9.0/python-programming-guide.html) applications on YARN.
Corresponds to the JSON property pysparkJob
1342 1343 1344 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1342 def pyspark_job @pyspark_job end |
#reference ⇒ Google::Apis::DataprocV1::JobReference
Encapsulates the full scoping used to reference a job.
Corresponds to the JSON property reference
1347 1348 1349 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1347 def reference @reference end |
#scheduling ⇒ Google::Apis::DataprocV1::JobScheduling
Job scheduling options.
Corresponds to the JSON property scheduling
1352 1353 1354 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1352 def scheduling @scheduling end |
#spark_job ⇒ Google::Apis::DataprocV1::SparkJob
A Cloud Dataproc job for running Apache Spark (http://spark.apache.org/)
applications on YARN.
Corresponds to the JSON property sparkJob
1358 1359 1360 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1358 def spark_job @spark_job end |
#spark_sql_job ⇒ Google::Apis::DataprocV1::SparkSqlJob
A Cloud Dataproc job for running Apache Spark SQL (http://spark.apache.org/sql/
) queries.
Corresponds to the JSON property sparkSqlJob
1364 1365 1366 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1364 def spark_sql_job @spark_sql_job end |
#status ⇒ Google::Apis::DataprocV1::JobStatus
Cloud Dataproc job status.
Corresponds to the JSON property status
1369 1370 1371 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1369 def status @status end |
#status_history ⇒ Array<Google::Apis::DataprocV1::JobStatus>
Output only. The previous job status.
Corresponds to the JSON property statusHistory
1374 1375 1376 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1374 def status_history @status_history end |
#yarn_applications ⇒ Array<Google::Apis::DataprocV1::YarnApplication>
Output only. The collection of YARN applications spun up by this job.Beta
Feature: This report is available for testing purposes only. It may be changed
before final release.
Corresponds to the JSON property yarnApplications
1381 1382 1383 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1381 def yarn_applications @yarn_applications end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 |
# File 'generated/google/apis/dataproc_v1/classes.rb', line 1388 def update!(**args) @driver_control_files_uri = args[:driver_control_files_uri] if args.key?(:driver_control_files_uri) @driver_output_resource_uri = args[:driver_output_resource_uri] if args.key?(:driver_output_resource_uri) @hadoop_job = args[:hadoop_job] if args.key?(:hadoop_job) @hive_job = args[:hive_job] if args.key?(:hive_job) @job_uuid = args[:job_uuid] if args.key?(:job_uuid) @labels = args[:labels] if args.key?(:labels) @pig_job = args[:pig_job] if args.key?(:pig_job) @placement = args[:placement] if args.key?(:placement) @pyspark_job = args[:pyspark_job] if args.key?(:pyspark_job) @reference = args[:reference] if args.key?(:reference) @scheduling = args[:scheduling] if args.key?(:scheduling) @spark_job = args[:spark_job] if args.key?(:spark_job) @spark_sql_job = args[:spark_sql_job] if args.key?(:spark_sql_job) @status = args[:status] if args.key?(:status) @status_history = args[:status_history] if args.key?(:status_history) @yarn_applications = args[:yarn_applications] if args.key?(:yarn_applications) end |