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

Inherits:
Object
  • Object
show all
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

Instance Method Summary collapse

Methods included from Core::JsonObjectSupport

#to_json

Methods included from Core::Hashable

process_value, #to_h

Constructor Details

#initialize(**args) ⇒ Job

Returns a new instance of Job



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1111

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

Returns:

  • (String) 


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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1024

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 'generated/google/apis/dataproc_v1/classes.rb', line 1030

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

Returns:



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1038

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

Returns:



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1044

def hive_job
  @hive_job
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 'generated/google/apis/dataproc_v1/classes.rb', line 1053

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

Returns:



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1059

def pig_job
  @pig_job
end

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

Cloud Dataproc job config. Corresponds to the JSON property placement

Returns:



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1064

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

Returns:



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1070

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 'generated/google/apis/dataproc_v1/classes.rb', line 1075

def reference
  @reference
end

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

Job scheduling options. Corresponds to the JSON property scheduling

Returns:



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1080

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

Returns:



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1086

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

Returns:



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1092

def spark_sql_job
  @spark_sql_job
end

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

Cloud Dataproc job status. Corresponds to the JSON property status

Returns:



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1097

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 'generated/google/apis/dataproc_v1/classes.rb', line 1102

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:



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1109

def yarn_applications
  @yarn_applications
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'generated/google/apis/dataproc_v1/classes.rb', line 1116

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)
  @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