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.



2193
2194
2195
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2193

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

Instance Attribute Details

#hadoop_job ⇒ Google::Apis::DataprocV1beta2::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:



2128
2129
2130
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2128

def hadoop_job
  @hadoop_job
end

#hive_job ⇒ Google::Apis::DataprocV1beta2::HiveJob

A Dataproc job for running Apache Hive (https://hive.apache.org/) queries on YARN. Corresponds to the JSON property hiveJob

Returns:



2134
2135
2136
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2134

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>) 


2143
2144
2145
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2143

def labels
  @labels
end

#pig_job ⇒ Google::Apis::DataprocV1beta2::PigJob

A Dataproc job for running Apache Pig (https://pig.apache.org/) queries on YARN. Corresponds to the JSON property pigJob

Returns:



2149
2150
2151
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2149

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>) 


2155
2156
2157
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2155

def prerequisite_step_ids
  @prerequisite_step_ids
end

#pyspark_job ⇒ Google::Apis::DataprocV1beta2::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:



2161
2162
2163
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2161

def pyspark_job
  @pyspark_job
end

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

Job scheduling options. Corresponds to the JSON property scheduling

Returns:



2166
2167
2168
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2166

def scheduling
  @scheduling
end

#spark_job ⇒ Google::Apis::DataprocV1beta2::SparkJob

A Dataproc job for running Apache Spark (http://spark.apache.org/) applications on YARN. The specification of the main method to call to drive the job. Specify either the jar file that contains the main class or the main class name. To pass both a main jar and a main class in that jar, add the jar to CommonJob.jar_file_uris, and then specify the main class name in main_class. Corresponds to the JSON property sparkJob

Returns:



2175
2176
2177
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2175

def spark_job
  @spark_job
end

#spark_sql_job ⇒ Google::Apis::DataprocV1beta2::SparkSqlJob

A Dataproc job for running Apache Spark SQL (http://spark.apache.org/sql/) queries. Corresponds to the JSON property sparkSqlJob

Returns:



2181
2182
2183
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2181

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) 


2191
2192
2193
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2191

def step_id
  @step_id
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



2198
2199
2200
2201
2202
2203
2204
2205
2206
2207
2208
2209
 
# File 'generated/google/apis/dataproc_v1beta2/classes.rb', line 2198

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