Class: Google::Apis::DataprocV1beta2::Job

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



1640
1641
1642
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1640

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) 


1515
1516
1517
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1515

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) 


1523
1524
1525
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1523

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) 


1529
1530
1531
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1529

def driver_output_resource_uri
  @driver_output_resource_uri
end

#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:



1537
1538
1539
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1537

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:



1543
1544
1545
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1543

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) 


1550
1551
1552
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1550

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>) 


1559
1560
1561
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1559

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:



1565
1566
1567
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1565

def pig_job
  @pig_job
end

#placement ⇒ Google::Apis::DataprocV1beta2::JobPlacement

Dataproc job config. Corresponds to the JSON property placement

Returns:



1570
1571
1572
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1570

def placement
  @placement
end

#presto_job ⇒ Google::Apis::DataprocV1beta2::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:



1578
1579
1580
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1578

def presto_job
  @presto_job
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:



1584
1585
1586
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1584

def pyspark_job
  @pyspark_job
end

#reference ⇒ Google::Apis::DataprocV1beta2::JobReference

Encapsulates the full scoping used to reference a job. Corresponds to the JSON property reference

Returns:



1589
1590
1591
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1589

def reference
  @reference
end

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

Job scheduling options. Corresponds to the JSON property scheduling

Returns:



1594
1595
1596
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1594

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:



1603
1604
1605
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1603

def spark_job
  @spark_job
end

#spark_r_job ⇒ Google::Apis::DataprocV1beta2::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:



1609
1610
1611
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1609

def spark_r_job
  @spark_r_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:



1615
1616
1617
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1615

def spark_sql_job
  @spark_sql_job
end

#status ⇒ Google::Apis::DataprocV1beta2::JobStatus

Dataproc job status. Corresponds to the JSON property status

Returns:



1620
1621
1622
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1620

def status
  @status
end

#status_history ⇒ Array<Google::Apis::DataprocV1beta2::JobStatus>

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

Returns:



1625
1626
1627
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1625

def status_history
  @status_history
end

#submitted_by ⇒ String

Output only. The email address of the user submitting the job. For jobs submitted on the cluster, the address is username@hostname. Corresponds to the JSON property submittedBy

Returns:

  • (String) 


1631
1632
1633
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1631

def submitted_by
  @submitted_by
end

#yarn_applications ⇒ Array<Google::Apis::DataprocV1beta2::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:



1638
1639
1640
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1638

def yarn_applications
  @yarn_applications
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
 
# File 'lib/google/apis/dataproc_v1beta2/classes.rb', line 1645

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