class Google::Apis::DataprocV1beta2::Job
A Dataproc job resource.
Attributes
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` @return [Boolean]
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` @return [Boolean]
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` @return [String]
Output only. A URI pointing to the location of the stdout of the job's driver program. Corresponds to the JSON property `driverOutputResourceUri` @return [String]
A Dataproc job for running Apache Hadoop MapReduce (hadoop.apache.org/ docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/ MapReduceTutorial.html) jobs on Apache Hadoop YARN (hadoop.apache.org/ docs/r2.7.1/hadoop-yarn/hadoop-yarn-site/YARN.html). Corresponds to the JSON property `hadoopJob` @return [Google::Apis::DataprocV1beta2::HadoopJob]
A Dataproc job for running Apache Hive (hive.apache.org/) queries on YARN. Corresponds to the JSON property `hiveJob` @return [Google::Apis::DataprocV1beta2::HiveJob]
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` @return [String]
Optional. The labels to associate with this job. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (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 (www.ietf.org/rfc/rfc1035.txt) . No more than 32 labels can be associated with a job. Corresponds to the JSON property `labels` @return [Hash<String,String>]
A Dataproc job for running Apache Pig (pig.apache.org/) queries on YARN. Corresponds to the JSON property `pigJob` @return [Google::Apis::DataprocV1beta2::PigJob]
Dataproc job config. Corresponds to the JSON property `placement` @return [Google::Apis::DataprocV1beta2::JobPlacement]
A Dataproc job for running Presto (prestosql.io/) queries. IMPORTANT: The Dataproc Presto Optional Component (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` @return [Google::Apis::DataprocV1beta2::PrestoJob]
A Dataproc job for running Apache PySpark (spark.apache.org/docs/0.9.0/ python-programming-guide.html) applications on YARN. Corresponds to the JSON property `pysparkJob` @return [Google::Apis::DataprocV1beta2::PySparkJob]
Encapsulates the full scoping used to reference a job. Corresponds to the JSON property `reference` @return [Google::Apis::DataprocV1beta2::JobReference]
Job
scheduling options. Corresponds to the JSON property `scheduling` @return [Google::Apis::DataprocV1beta2::JobScheduling]
A Dataproc job for running Apache Spark (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` @return [Google::Apis::DataprocV1beta2::SparkJob]
A Dataproc job for running Apache SparkR (spark.apache.org/docs/latest/ sparkr.html) applications on YARN. Corresponds to the JSON property `sparkRJob` @return [Google::Apis::DataprocV1beta2::SparkRJob]
A Dataproc job for running Apache Spark SQL (spark.apache.org/sql/) queries. Corresponds to the JSON property `sparkSqlJob` @return [Google::Apis::DataprocV1beta2::SparkSqlJob]
Dataproc job status. Corresponds to the JSON property `status` @return [Google::Apis::DataprocV1beta2::JobStatus]
Output only. The previous job status. Corresponds to the JSON property `statusHistory` @return [Array<Google::Apis::DataprocV1beta2::JobStatus>]
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` @return [String]
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` @return [Array<Google::Apis::DataprocV1beta2::YarnApplication>]
Public Class Methods
# File lib/google/apis/dataproc_v1beta2/classes.rb, line 1640 def initialize(**args) update!(**args) end
Public Instance Methods
Update properties of this object
# 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