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.



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2532

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) 


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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2397

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) 


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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2405

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) 


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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2411

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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2416

def driver_scheduling_config
  @driver_scheduling_config
end

#flink_job ⇒ Google::Apis::DataprocV1::FlinkJob

A Dataproc job for running Apache Flink (https://flink.apache.org/) applications on YARN. Corresponds to the JSON property flinkJob

Returns:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2422

def flink_job
  @flink_job
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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2430

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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2436

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) 


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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2443

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>) 


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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2452

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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2458

def pig_job
  @pig_job
end

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

Dataproc job config. Corresponds to the JSON property placement

Returns:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2463

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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2471

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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2477

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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2482

def reference
  @reference
end

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

Job scheduling options. Corresponds to the JSON property scheduling

Returns:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2487

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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2493

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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2499

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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2505

def spark_sql_job
  @spark_sql_job
end

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

Dataproc job status. Corresponds to the JSON property status

Returns:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2510

def status
  @status
end

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

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

Returns:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2515

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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2523

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:



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2530

def yarn_applications
  @yarn_applications
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 2537

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