Class: Google::Apis::DataprocV1::OrderedJob

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 job executed by the workflow.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ OrderedJob

Returns a new instance of OrderedJob.



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# File 'lib/google/apis/dataproc_v1/classes.rb', line 3358

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

Instance Attribute Details

#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 3274

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 3280

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 32 labels can be associated with a given job. Corresponds to the JSON property labels

Returns:

  • (Hash<String,String>) 


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# File 'lib/google/apis/dataproc_v1/classes.rb', line 3289

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 3295

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 'lib/google/apis/dataproc_v1/classes.rb', line 3301

def prerequisite_step_ids
  @prerequisite_step_ids
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 3309

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 3315

def pyspark_job
  @pyspark_job
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 3320

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 3326

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 3332

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 3338

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 goog-dataproc- workflow-step-id label, and in prerequisiteStepIds field from other steps.The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of between 3 and 50 characters. Corresponds to the JSON property stepId

Returns:

  • (String) 


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# File 'lib/google/apis/dataproc_v1/classes.rb', line 3348

def step_id
  @step_id
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 3356

def trino_job
  @trino_job
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 3363

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)
  @presto_job = args[:presto_job] if args.key?(:presto_job)
  @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_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)
  @step_id = args[:step_id] if args.key?(:step_id)
  @trino_job = args[:trino_job] if args.key?(:trino_job)
end