Class: Google::Apis::DataprocV1::Job

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/dataproc_v1/classes.rb,
lib/google/apis/dataproc_v1/representations.rb,
lib/google/apis/dataproc_v1/representations.rb

Overview

A Dataproc job resource.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ Job

Returns a new instance of Job.



2359
2360
2361
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2359

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#done ⇒ Boolean Also known as: done?

Output only. Indicates whether the job is completed. If the value is false, the job is still in progress. If true, the job is completed, and status.state field will indicate if it was successful, failed, or cancelled. Corresponds to the JSON property done

Returns:

  • (Boolean) 


2230
2231
2232
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2230

def done
  @done
end

#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

Returns:

  • (String) 


2238
2239
2240
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2238

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

Returns:

  • (String) 


2244
2245
2246
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2244

def driver_output_resource_uri
  @driver_output_resource_uri
end

#driver_scheduling_config ⇒ Google::Apis::DataprocV1::DriverSchedulingConfig

Driver scheduling configuration. Corresponds to the JSON property driverSchedulingConfig

Returns:



2249
2250
2251
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2249

def driver_scheduling_config
  @driver_scheduling_config
end

#hadoop_job ⇒ Google::Apis::DataprocV1::HadoopJob

A 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

Returns:



2257
2258
2259
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2257

def hadoop_job
  @hadoop_job
end

#hive_job ⇒ Google::Apis::DataprocV1::HiveJob

A Dataproc job for running Apache Hive (https://hive.apache.org/) queries on YARN. Corresponds to the JSON property hiveJob

Returns:



2263
2264
2265
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2263

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

Returns:

  • (String) 


2270
2271
2272
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2270

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

Returns:

  • (Hash<String,String>) 


2279
2280
2281
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2279

def labels
  @labels
end

#pig_job ⇒ Google::Apis::DataprocV1::PigJob

A Dataproc job for running Apache Pig (https://pig.apache.org/) queries on YARN. Corresponds to the JSON property pigJob

Returns:



2285
2286
2287
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2285

def pig_job
  @pig_job
end

#placement ⇒ Google::Apis::DataprocV1::JobPlacement

Dataproc job config. Corresponds to the JSON property placement

Returns:



2290
2291
2292
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2290

def placement
  @placement
end

#presto_job ⇒ Google::Apis::DataprocV1::PrestoJob

A Dataproc job for running Presto (https://prestosql.io/) queries. IMPORTANT: The Dataproc Presto Optional Component (https://cloud.google.com/dataproc/docs/ concepts/components/presto) must be enabled when the cluster is created to submit a Presto job to the cluster. Corresponds to the JSON property prestoJob

Returns:



2298
2299
2300
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2298

def presto_job
  @presto_job
end

#pyspark_job ⇒ Google::Apis::DataprocV1::PySparkJob

A 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

Returns:



2304
2305
2306
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2304

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

Returns:



2309
2310
2311
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2309

def reference
  @reference
end

#scheduling ⇒ Google::Apis::DataprocV1::JobScheduling

Job scheduling options. Corresponds to the JSON property scheduling

Returns:



2314
2315
2316
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2314

def scheduling
  @scheduling
end

#spark_job ⇒ Google::Apis::DataprocV1::SparkJob

A Dataproc job for running Apache Spark (https://spark.apache.org/) applications on YARN. Corresponds to the JSON property sparkJob

Returns:



2320
2321
2322
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2320

def spark_job
  @spark_job
end

#spark_r_job ⇒ Google::Apis::DataprocV1::SparkRJob

A Dataproc job for running Apache SparkR (https://spark.apache.org/docs/latest/ sparkr.html) applications on YARN. Corresponds to the JSON property sparkRJob

Returns:



2326
2327
2328
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2326

def spark_r_job
  @spark_r_job
end

#spark_sql_job ⇒ Google::Apis::DataprocV1::SparkSqlJob

A Dataproc job for running Apache Spark SQL (https://spark.apache.org/sql/) queries. Corresponds to the JSON property sparkSqlJob

Returns:



2332
2333
2334
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2332

def spark_sql_job
  @spark_sql_job
end

#status ⇒ Google::Apis::DataprocV1::JobStatus

Dataproc job status. Corresponds to the JSON property status

Returns:



2337
2338
2339
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2337

def status
  @status
end

#status_history ⇒ Array<Google::Apis::DataprocV1::JobStatus>

Output only. The previous job status. Corresponds to the JSON property statusHistory

Returns:



2342
2343
2344
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2342

def status_history
  @status_history
end

#trino_job ⇒ Google::Apis::DataprocV1::TrinoJob

A Dataproc job for running Trino (https://trino.io/) queries. IMPORTANT: The Dataproc Trino Optional Component (https://cloud.google.com/dataproc/docs/ concepts/components/trino) must be enabled when the cluster is created to submit a Trino job to the cluster. Corresponds to the JSON property trinoJob

Returns:



2350
2351
2352
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2350

def trino_job
  @trino_job
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

Returns:



2357
2358
2359
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2357

def yarn_applications
  @yarn_applications
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



2364
2365
2366
2367
2368
2369
2370
2371
2372
2373
2374
2375
2376
2377
2378
2379
2380
2381
2382
2383
2384
2385
2386
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2364

def update!(**args)
  @done = args[:done] if args.key?(:done)
  @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)
  @driver_scheduling_config = args[:driver_scheduling_config] if args.key?(:driver_scheduling_config)
  @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)
  @presto_job = args[:presto_job] if args.key?(:presto_job)
  @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_r_job = args[:spark_r_job] if args.key?(:spark_r_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)
  @trino_job = args[:trino_job] if args.key?(:trino_job)
  @yarn_applications = args[:yarn_applications] if args.key?(:yarn_applications)
end