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.



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

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) 


2147
2148
2149
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2147

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) 


2155
2156
2157
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2155

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) 


2161
2162
2163
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2161

def driver_output_resource_uri
  @driver_output_resource_uri
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:



2169
2170
2171
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2169

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:



2175
2176
2177
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2175

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) 


2182
2183
2184
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2182

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>) 


2191
2192
2193
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2191

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:



2197
2198
2199
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2197

def pig_job
  @pig_job
end

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

Dataproc job config. Corresponds to the JSON property placement

Returns:



2202
2203
2204
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2202

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:



2210
2211
2212
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2210

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:



2216
2217
2218
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2216

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:



2221
2222
2223
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2221

def reference
  @reference
end

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

Job scheduling options. Corresponds to the JSON property scheduling

Returns:



2226
2227
2228
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2226

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:



2232
2233
2234
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2232

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:



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

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:



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

def spark_sql_job
  @spark_sql_job
end

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

Dataproc job status. Corresponds to the JSON property status

Returns:



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

def status
  @status
end

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

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

Returns:



2254
2255
2256
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2254

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

Returns:



2261
2262
2263
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2261

def yarn_applications
  @yarn_applications
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



2268
2269
2270
2271
2272
2273
2274
2275
2276
2277
2278
2279
2280
2281
2282
2283
2284
2285
2286
2287
2288
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 2268

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)
  @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)
  @yarn_applications = args[:yarn_applications] if args.key?(:yarn_applications)
end