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.



1776
1777
1778
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1776

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) 


1660
1661
1662
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1660

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) 


1668
1669
1670
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1668

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) 


1674
1675
1676
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1674

def driver_output_resource_uri
  @driver_output_resource_uri
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:



1682
1683
1684
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1682

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:



1688
1689
1690
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1688

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) 


1695
1696
1697
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1695

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>) 


1704
1705
1706
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1704

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:



1710
1711
1712
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1710

def pig_job
  @pig_job
end

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

Dataproc job config. Corresponds to the JSON property placement

Returns:



1715
1716
1717
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1715

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:



1723
1724
1725
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1723

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:



1729
1730
1731
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1729

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:



1734
1735
1736
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1734

def reference
  @reference
end

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

Job scheduling options. Corresponds to the JSON property scheduling

Returns:



1739
1740
1741
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1739

def scheduling
  @scheduling
end

#spark_job ⇒ Google::Apis::DataprocV1::SparkJob

A Dataproc job for running Apache Spark (http://spark.apache.org/) applications on YARN. Corresponds to the JSON property sparkJob

Returns:



1745
1746
1747
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1745

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:



1751
1752
1753
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1751

def spark_r_job
  @spark_r_job
end

#spark_sql_job ⇒ Google::Apis::DataprocV1::SparkSqlJob

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

Returns:



1757
1758
1759
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1757

def spark_sql_job
  @spark_sql_job
end

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

Dataproc job status. Corresponds to the JSON property status

Returns:



1762
1763
1764
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1762

def status
  @status
end

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

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

Returns:



1767
1768
1769
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1767

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:



1774
1775
1776
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1774

def yarn_applications
  @yarn_applications
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



1781
1782
1783
1784
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
 
# File 'lib/google/apis/dataproc_v1/classes.rb', line 1781

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