Class: Google::Apis::DataprocV1beta2::OrderedJob

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
generated/google/apis/dataproc_v1beta2/classes.rb,
generated/google/apis/dataproc_v1beta2/representations.rb,
generated/google/apis/dataproc_v1beta2/representations.rb

Overview

A job executed by the workflow.

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) ⇒ OrderedJob

Returns a new instance of OrderedJob



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# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 1572

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

Instance Attribute Details

#hadoop_job ⇒ Google::Apis::DataprocV1beta2::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_v1beta2/classes.rb', line 1513

def hadoop_job
  @hadoop_job
end

#hive_job ⇒ Google::Apis::DataprocV1beta2::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_v1beta2/classes.rb', line 1519

def hive_job
  @hive_job
end

#labels ⇒ Hash<String,String>

Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \ pLl\pLo0,62Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \pLl\pLo\pN_-0,63No more than 64 labels can be associated with a given job. Corresponds to the JSON property labels

Returns:

  • (Hash<String,String>) 


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# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 1528

def labels
  @labels
end

#pig_job ⇒ Google::Apis::DataprocV1beta2::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_v1beta2/classes.rb', line 1534

def pig_job
  @pig_job
end

#prerequisite_step_ids ⇒ Array<String>

Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow. Corresponds to the JSON property prerequisiteStepIds

Returns:

  • (Array<String>) 


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# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 1540

def prerequisite_step_ids
  @prerequisite_step_ids
end

#pyspark_job ⇒ Google::Apis::DataprocV1beta2::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_v1beta2/classes.rb', line 1546

def pyspark_job
  @pyspark_job
end

#scheduling ⇒ Google::Apis::DataprocV1beta2::JobScheduling

Job scheduling options. Corresponds to the JSON property scheduling

Returns:



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# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 1551

def scheduling
  @scheduling
end

#spark_job ⇒ Google::Apis::DataprocV1beta2::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_v1beta2/classes.rb', line 1557

def spark_job
  @spark_job
end

#spark_sql_job ⇒ Google::Apis::DataprocV1beta2::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_v1beta2/classes.rb', line 1563

def spark_sql_job
  @spark_sql_job
end

#step_id ⇒ String

Required. The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job workflow-step-id label, and in prerequisite_step_ids field from other steps. Corresponds to the JSON property stepId

Returns:

  • (String) 


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# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 1570

def step_id
  @step_id
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 1577

def update!(**args)
  @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)
  @prerequisite_step_ids = args[:prerequisite_step_ids] if args.key?(:prerequisite_step_ids)
  @pyspark_job = args[:pyspark_job] if args.key?(:pyspark_job)
  @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)
  @step_id = args[:step_id] if args.key?(:step_id)
end