# Google Cloud Dataproc API . projects . regions . jobs

## Instance Methods

Starts a job cancellation request. To access the job resource after cancellation, call regions/{region}/jobs.list or regions/{region}/jobs.get.

Deletes the job from the project. If the job is active, the delete fails, and the response returns FAILED_PRECONDITION.

Gets the resource representation for a job in a project.

Lists regions/{region}/jobs in a project.

Retrieves the next page of results.

Updates a job in a project.

Submits a job to a cluster.

### Method Details

`cancel(projectId, region, jobId, body, x__xgafv=None)`

    Starts a job cancellation request. To access the job resource after cancellation, call regions/{region}/jobs.list or regions/{region}/jobs.get.

    Args:
      projectId: string, Required. The ID of the Google Cloud Platform project that the job belongs to. (required)
      region: string, Required. The Cloud Dataproc region in which to handle the request. (required)
      jobId: string, Required. The job ID. (required)
      body: object, The request body. (required)
        The object takes the form of:

    { # A request to cancel a job.
      }

      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # A Cloud Dataproc job resource.
        "status": { # Cloud Dataproc job status. # Output-only. The job status. Additional application-specific status information may be contained in the type_job and yarn_applications fields.
          "state": "A String", # Output-only. A state message specifying the overall job state.
          "stateStartTime": "A String", # Output-only. The time when this state was entered.
          "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
          "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
        },
        "sparkSqlJob": { # A Cloud Dataproc job for running Apache Spark SQL (http://spark.apache.org/sql/) queries. # Job is a SparkSql job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
            "a_key": "A String",
          },
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "properties": { # Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.
            "a_key": "A String",
          },
        },
        "pigJob": { # A Cloud Dataproc job for running Apache Pig (https://pig.apache.org/) queries on YARN. # Job is a Pig job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
            "a_key": "A String",
          },
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
          "properties": { # Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
            "a_key": "A String",
          },
        },
        "placement": { # Cloud Dataproc job config. # Required. Job information, including how, when, and where to run the job.
          "clusterName": "A String", # Required. The name of the cluster where the job will be submitted.
          "clusterUuid": "A String", # Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted.
        },
        "reference": { # Encapsulates the full scoping used to reference a job. # Optional. The fully qualified reference to the job, which can be used to obtain the equivalent REST path of the job resource. If this property is not specified when a job is created, the server generates a job_id.
          "projectId": "A String", # Required. The ID of the Google Cloud Platform project that the job belongs to.
          "jobId": "A String", # Optional. The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or hyphens (-). The maximum length is 100 characters.
        },
        "hadoopJob": { # A Cloud 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). # Job is a Hadoop job.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "mainClass": "A String", # The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
            "A String",
          ],
          "mainJarFileUri": "A String", # The HCFS URI of the jar file containing the main class. Examples:  'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar'  'hdfs:/tmp/test-samples/custom-wordcount.jar'  'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
          "properties": { # Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
            "a_key": "A String",
          },
        },
        "labels": { # 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.
          "a_key": "A String",
        },
        "driverOutputResourceUri": "A String", # Output-only. A URI pointing to the location of the stdout of the job's driver program.
        "pysparkJob": { # A Cloud Dataproc job for running Apache PySpark (https://spark.apache.org/docs/0.9.0/python-programming-guide.html) applications on YARN. # Job is a Pyspark job.
          "mainPythonFileUri": "A String", # Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.
            "A String",
          ],
          "pythonFileUris": [ # Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
            "A String",
          ],
          "properties": { # Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
            "a_key": "A String",
          },
        },
        "driverControlFilesUri": "A 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.
        "sparkJob": { # A Cloud Dataproc job for running Apache Spark (http://spark.apache.org/) applications on YARN. # Job is a Spark job.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "mainClass": "A String", # The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jar_file_uris.
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
            "A String",
          ],
          "mainJarFileUri": "A String", # The HCFS URI of the jar file that contains the main class.
          "properties": { # Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
            "a_key": "A String",
          },
        },
        "yarnApplications": [ # 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.
          { # A YARN application created by a job. Application information is a subset of org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto.Beta Feature: This report is available for testing purposes only. It may be changed before final release.
            "progress": 3.14, # Required. The numerical progress of the application, from 1 to 100.
            "state": "A String", # Required. The application state.
            "name": "A String", # Required. The application name.
            "trackingUrl": "A String", # Optional. The HTTP URL of the ApplicationMaster, HistoryServer, or TimelineServer that provides application-specific information. The URL uses the internal hostname, and requires a proxy server for resolution and, possibly, access.
          },
        ],
        "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional. Job scheduling configuration.
          "maxFailuresPerHour": 42, # Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.
        },
        "statusHistory": [ # Output-only. The previous job status.
          { # Cloud Dataproc job status.
            "state": "A String", # Output-only. A state message specifying the overall job state.
            "stateStartTime": "A String", # Output-only. The time when this state was entered.
            "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
            "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
          },
        ],
        "hiveJob": { # A Cloud Dataproc job for running Apache Hive (https://hive.apache.org/) queries on YARN. # Job is a Hive job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
            "a_key": "A String",
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
          "properties": { # Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
            "a_key": "A String",
          },
        },
      }

`delete(projectId, region, jobId, x__xgafv=None)`

    Deletes the job from the project. If the job is active, the delete fails, and the response returns FAILED_PRECONDITION.

    Args:
      projectId: string, Required. The ID of the Google Cloud Platform project that the job belongs to. (required)
      region: string, Required. The Cloud Dataproc region in which to handle the request. (required)
      jobId: string, Required. The job ID. (required)
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:
          # service Foo {
          #   rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
          # }
          # The JSON representation for Empty is empty JSON object {}.
      }

`get(projectId, region, jobId, x__xgafv=None)`

    Gets the resource representation for a job in a project.

    Args:
      projectId: string, Required. The ID of the Google Cloud Platform project that the job belongs to. (required)
      region: string, Required. The Cloud Dataproc region in which to handle the request. (required)
      jobId: string, Required. The job ID. (required)
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # A Cloud Dataproc job resource.
        "status": { # Cloud Dataproc job status. # Output-only. The job status. Additional application-specific status information may be contained in the type_job and yarn_applications fields.
          "state": "A String", # Output-only. A state message specifying the overall job state.
          "stateStartTime": "A String", # Output-only. The time when this state was entered.
          "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
          "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
        },
        "sparkSqlJob": { # A Cloud Dataproc job for running Apache Spark SQL (http://spark.apache.org/sql/) queries. # Job is a SparkSql job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
            "a_key": "A String",
          },
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "properties": { # Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.
            "a_key": "A String",
          },
        },
        "pigJob": { # A Cloud Dataproc job for running Apache Pig (https://pig.apache.org/) queries on YARN. # Job is a Pig job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
            "a_key": "A String",
          },
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
          "properties": { # Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
            "a_key": "A String",
          },
        },
        "placement": { # Cloud Dataproc job config. # Required. Job information, including how, when, and where to run the job.
          "clusterName": "A String", # Required. The name of the cluster where the job will be submitted.
          "clusterUuid": "A String", # Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted.
        },
        "reference": { # Encapsulates the full scoping used to reference a job. # Optional. The fully qualified reference to the job, which can be used to obtain the equivalent REST path of the job resource. If this property is not specified when a job is created, the server generates a job_id.
          "projectId": "A String", # Required. The ID of the Google Cloud Platform project that the job belongs to.
          "jobId": "A String", # Optional. The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or hyphens (-). The maximum length is 100 characters.
        },
        "hadoopJob": { # A Cloud 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). # Job is a Hadoop job.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "mainClass": "A String", # The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
            "A String",
          ],
          "mainJarFileUri": "A String", # The HCFS URI of the jar file containing the main class. Examples:  'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar'  'hdfs:/tmp/test-samples/custom-wordcount.jar'  'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
          "properties": { # Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
            "a_key": "A String",
          },
        },
        "labels": { # 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.
          "a_key": "A String",
        },
        "driverOutputResourceUri": "A String", # Output-only. A URI pointing to the location of the stdout of the job's driver program.
        "pysparkJob": { # A Cloud Dataproc job for running Apache PySpark (https://spark.apache.org/docs/0.9.0/python-programming-guide.html) applications on YARN. # Job is a Pyspark job.
          "mainPythonFileUri": "A String", # Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.
            "A String",
          ],
          "pythonFileUris": [ # Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
            "A String",
          ],
          "properties": { # Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
            "a_key": "A String",
          },
        },
        "driverControlFilesUri": "A 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.
        "sparkJob": { # A Cloud Dataproc job for running Apache Spark (http://spark.apache.org/) applications on YARN. # Job is a Spark job.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "mainClass": "A String", # The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jar_file_uris.
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
            "A String",
          ],
          "mainJarFileUri": "A String", # The HCFS URI of the jar file that contains the main class.
          "properties": { # Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
            "a_key": "A String",
          },
        },
        "yarnApplications": [ # 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.
          { # A YARN application created by a job. Application information is a subset of org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto.Beta Feature: This report is available for testing purposes only. It may be changed before final release.
            "progress": 3.14, # Required. The numerical progress of the application, from 1 to 100.
            "state": "A String", # Required. The application state.
            "name": "A String", # Required. The application name.
            "trackingUrl": "A String", # Optional. The HTTP URL of the ApplicationMaster, HistoryServer, or TimelineServer that provides application-specific information. The URL uses the internal hostname, and requires a proxy server for resolution and, possibly, access.
          },
        ],
        "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional. Job scheduling configuration.
          "maxFailuresPerHour": 42, # Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.
        },
        "statusHistory": [ # Output-only. The previous job status.
          { # Cloud Dataproc job status.
            "state": "A String", # Output-only. A state message specifying the overall job state.
            "stateStartTime": "A String", # Output-only. The time when this state was entered.
            "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
            "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
          },
        ],
        "hiveJob": { # A Cloud Dataproc job for running Apache Hive (https://hive.apache.org/) queries on YARN. # Job is a Hive job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
            "a_key": "A String",
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
          "properties": { # Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
            "a_key": "A String",
          },
        },
      }

`list(projectId, region, pageSize=None, x__xgafv=None, pageToken=None, clusterName=None, jobStateMatcher=None, filter=None)`

    Lists regions/{region}/jobs in a project.

    Args:
      projectId: string, Required. The ID of the Google Cloud Platform project that the job belongs to. (required)
      region: string, Required. The Cloud Dataproc region in which to handle the request. (required)
      pageSize: integer, Optional. The number of results to return in each response.
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format
      pageToken: string, Optional. The page token, returned by a previous call, to request the next page of results.
      clusterName: string, Optional. If set, the returned jobs list includes only jobs that were submitted to the named cluster.
      jobStateMatcher: string, Optional. Specifies enumerated categories of jobs to list (default = match ALL jobs).
      filter: string, Optional. A filter constraining the jobs to list. Filters are case-sensitive and have the following syntax:field = value AND field = value ...where field is status.state or labels.[KEY], and [KEY] is a label key. value can be * to match all values. status.state can be either ACTIVE or INACTIVE. Only the logical AND operator is supported; space-separated items are treated as having an implicit AND operator.Example filter:status.state = ACTIVE AND labels.env = staging AND labels.starred = *

    Returns:
      An object of the form:

        { # A list of jobs in a project.
        "nextPageToken": "A String", # Optional. This token is included in the response if there are more results to fetch. To fetch additional results, provide this value as the page_token in a subsequent ListJobsRequest.
        "jobs": [ # Output-only. Jobs list.
          { # A Cloud Dataproc job resource.
            "status": { # Cloud Dataproc job status. # Output-only. The job status. Additional application-specific status information may be contained in the type_job and yarn_applications fields.
              "state": "A String", # Output-only. A state message specifying the overall job state.
              "stateStartTime": "A String", # Output-only. The time when this state was entered.
              "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
              "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
            },
            "sparkSqlJob": { # A Cloud Dataproc job for running Apache Spark SQL (http://spark.apache.org/sql/) queries. # Job is a SparkSql job.
              "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries.
              "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
                "a_key": "A String",
              },
              "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
                "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
                  "a_key": "A String",
                },
              },
              "jarFileUris": [ # Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
                "A String",
              ],
              "queryList": { # A list of queries to run on a cluster. # A list of queries.
                "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                    # "hiveJob": {
                    #   "queryList": {
                    #     "queries": [
                    #       "query1",
                    #       "query2",
                    #       "query3;query4",
                    #     ]
                    #   }
                    # }
                  "A String",
                ],
              },
              "properties": { # Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.
                "a_key": "A String",
              },
            },
            "pigJob": { # A Cloud Dataproc job for running Apache Pig (https://pig.apache.org/) queries on YARN. # Job is a Pig job.
              "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries.
              "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
                "a_key": "A String",
              },
              "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
                "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
                  "a_key": "A String",
                },
              },
              "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
                "A String",
              ],
              "queryList": { # A list of queries to run on a cluster. # A list of queries.
                "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                    # "hiveJob": {
                    #   "queryList": {
                    #     "queries": [
                    #       "query1",
                    #       "query2",
                    #       "query3;query4",
                    #     ]
                    #   }
                    # }
                  "A String",
                ],
              },
              "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
              "properties": { # Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
                "a_key": "A String",
              },
            },
            "placement": { # Cloud Dataproc job config. # Required. Job information, including how, when, and where to run the job.
              "clusterName": "A String", # Required. The name of the cluster where the job will be submitted.
              "clusterUuid": "A String", # Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted.
            },
            "reference": { # Encapsulates the full scoping used to reference a job. # Optional. The fully qualified reference to the job, which can be used to obtain the equivalent REST path of the job resource. If this property is not specified when a job is created, the server generates a job_id.
              "projectId": "A String", # Required. The ID of the Google Cloud Platform project that the job belongs to.
              "jobId": "A String", # Optional. The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or hyphens (-). The maximum length is 100 characters.
            },
            "hadoopJob": { # A Cloud 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). # Job is a Hadoop job.
              "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
                "A String",
              ],
              "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
                "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
                  "a_key": "A String",
                },
              },
              "jarFileUris": [ # Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
                "A String",
              ],
              "fileUris": [ # Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
                "A String",
              ],
              "mainClass": "A String", # The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
              "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
                "A String",
              ],
              "mainJarFileUri": "A String", # The HCFS URI of the jar file containing the main class. Examples:  'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar'  'hdfs:/tmp/test-samples/custom-wordcount.jar'  'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
              "properties": { # Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
                "a_key": "A String",
              },
            },
            "labels": { # 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.
              "a_key": "A String",
            },
            "driverOutputResourceUri": "A String", # Output-only. A URI pointing to the location of the stdout of the job's driver program.
            "pysparkJob": { # A Cloud Dataproc job for running Apache PySpark (https://spark.apache.org/docs/0.9.0/python-programming-guide.html) applications on YARN. # Job is a Pyspark job.
              "mainPythonFileUri": "A String", # Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
              "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
                "A String",
              ],
              "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
                "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
                  "a_key": "A String",
                },
              },
              "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
                "A String",
              ],
              "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.
                "A String",
              ],
              "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.
                "A String",
              ],
              "pythonFileUris": [ # Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
                "A String",
              ],
              "properties": { # Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
                "a_key": "A String",
              },
            },
            "driverControlFilesUri": "A 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.
            "sparkJob": { # A Cloud Dataproc job for running Apache Spark (http://spark.apache.org/) applications on YARN. # Job is a Spark job.
              "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
                "A String",
              ],
              "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
                "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
                  "a_key": "A String",
                },
              },
              "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
                "A String",
              ],
              "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.
                "A String",
              ],
              "mainClass": "A String", # The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jar_file_uris.
              "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
                "A String",
              ],
              "mainJarFileUri": "A String", # The HCFS URI of the jar file that contains the main class.
              "properties": { # Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
                "a_key": "A String",
              },
            },
            "yarnApplications": [ # 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.
              { # A YARN application created by a job. Application information is a subset of org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto.Beta Feature: This report is available for testing purposes only. It may be changed before final release.
                "progress": 3.14, # Required. The numerical progress of the application, from 1 to 100.
                "state": "A String", # Required. The application state.
                "name": "A String", # Required. The application name.
                "trackingUrl": "A String", # Optional. The HTTP URL of the ApplicationMaster, HistoryServer, or TimelineServer that provides application-specific information. The URL uses the internal hostname, and requires a proxy server for resolution and, possibly, access.
              },
            ],
            "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional. Job scheduling configuration.
              "maxFailuresPerHour": 42, # Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.
            },
            "statusHistory": [ # Output-only. The previous job status.
              { # Cloud Dataproc job status.
                "state": "A String", # Output-only. A state message specifying the overall job state.
                "stateStartTime": "A String", # Output-only. The time when this state was entered.
                "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
                "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
              },
            ],
            "hiveJob": { # A Cloud Dataproc job for running Apache Hive (https://hive.apache.org/) queries on YARN. # Job is a Hive job.
              "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries.
              "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
                "a_key": "A String",
              },
              "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
                "A String",
              ],
              "queryList": { # A list of queries to run on a cluster. # A list of queries.
                "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                    # "hiveJob": {
                    #   "queryList": {
                    #     "queries": [
                    #       "query1",
                    #       "query2",
                    #       "query3;query4",
                    #     ]
                    #   }
                    # }
                  "A String",
                ],
              },
              "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
              "properties": { # Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
                "a_key": "A String",
              },
            },
          },
        ],
      }

`list_next(previous_request, previous_response)`

    Retrieves the next page of results.

    Args:
      previous_request: The request for the previous page. (required)
      previous_response: The response from the request for the previous page. (required)

    Returns:
      A request object that you can call 'execute()' on to request the next
      page. Returns None if there are no more items in the collection.

`patch(projectId, region, jobId, body, updateMask=None, x__xgafv=None)`

    Updates a job in a project.

    Args:
      projectId: string, Required. The ID of the Google Cloud Platform project that the job belongs to. (required)
      region: string, Required. The Cloud Dataproc region in which to handle the request. (required)
      jobId: string, Required. The job ID. (required)
      body: object, The request body. (required)
        The object takes the form of:

    { # A Cloud Dataproc job resource.
      "status": { # Cloud Dataproc job status. # Output-only. The job status. Additional application-specific status information may be contained in the type_job and yarn_applications fields.
        "state": "A String", # Output-only. A state message specifying the overall job state.
        "stateStartTime": "A String", # Output-only. The time when this state was entered.
        "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
        "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
      },
      "sparkSqlJob": { # A Cloud Dataproc job for running Apache Spark SQL (http://spark.apache.org/sql/) queries. # Job is a SparkSql job.
        "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries.
        "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
          "a_key": "A String",
        },
        "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
          "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
            "a_key": "A String",
          },
        },
        "jarFileUris": [ # Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
          "A String",
        ],
        "queryList": { # A list of queries to run on a cluster. # A list of queries.
          "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
              # "hiveJob": {
              #   "queryList": {
              #     "queries": [
              #       "query1",
              #       "query2",
              #       "query3;query4",
              #     ]
              #   }
              # }
            "A String",
          ],
        },
        "properties": { # Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.
          "a_key": "A String",
        },
      },
      "pigJob": { # A Cloud Dataproc job for running Apache Pig (https://pig.apache.org/) queries on YARN. # Job is a Pig job.
        "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries.
        "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
          "a_key": "A String",
        },
        "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
          "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
            "a_key": "A String",
          },
        },
        "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
          "A String",
        ],
        "queryList": { # A list of queries to run on a cluster. # A list of queries.
          "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
              # "hiveJob": {
              #   "queryList": {
              #     "queries": [
              #       "query1",
              #       "query2",
              #       "query3;query4",
              #     ]
              #   }
              # }
            "A String",
          ],
        },
        "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
        "properties": { # Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
          "a_key": "A String",
        },
      },
      "placement": { # Cloud Dataproc job config. # Required. Job information, including how, when, and where to run the job.
        "clusterName": "A String", # Required. The name of the cluster where the job will be submitted.
        "clusterUuid": "A String", # Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted.
      },
      "reference": { # Encapsulates the full scoping used to reference a job. # Optional. The fully qualified reference to the job, which can be used to obtain the equivalent REST path of the job resource. If this property is not specified when a job is created, the server generates a job_id.
        "projectId": "A String", # Required. The ID of the Google Cloud Platform project that the job belongs to.
        "jobId": "A String", # Optional. The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or hyphens (-). The maximum length is 100 characters.
      },
      "hadoopJob": { # A Cloud 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). # Job is a Hadoop job.
        "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
          "A String",
        ],
        "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
          "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
            "a_key": "A String",
          },
        },
        "jarFileUris": [ # Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
          "A String",
        ],
        "fileUris": [ # Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
          "A String",
        ],
        "mainClass": "A String", # The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
        "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
          "A String",
        ],
        "mainJarFileUri": "A String", # The HCFS URI of the jar file containing the main class. Examples:  'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar'  'hdfs:/tmp/test-samples/custom-wordcount.jar'  'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
        "properties": { # Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
          "a_key": "A String",
        },
      },
      "labels": { # 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.
        "a_key": "A String",
      },
      "driverOutputResourceUri": "A String", # Output-only. A URI pointing to the location of the stdout of the job's driver program.
      "pysparkJob": { # A Cloud Dataproc job for running Apache PySpark (https://spark.apache.org/docs/0.9.0/python-programming-guide.html) applications on YARN. # Job is a Pyspark job.
        "mainPythonFileUri": "A String", # Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
        "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
          "A String",
        ],
        "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
          "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
            "a_key": "A String",
          },
        },
        "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
          "A String",
        ],
        "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.
          "A String",
        ],
        "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.
          "A String",
        ],
        "pythonFileUris": [ # Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
          "A String",
        ],
        "properties": { # Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
          "a_key": "A String",
        },
      },
      "driverControlFilesUri": "A 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.
      "sparkJob": { # A Cloud Dataproc job for running Apache Spark (http://spark.apache.org/) applications on YARN. # Job is a Spark job.
        "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
          "A String",
        ],
        "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
          "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
            "a_key": "A String",
          },
        },
        "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
          "A String",
        ],
        "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.
          "A String",
        ],
        "mainClass": "A String", # The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jar_file_uris.
        "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
          "A String",
        ],
        "mainJarFileUri": "A String", # The HCFS URI of the jar file that contains the main class.
        "properties": { # Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
          "a_key": "A String",
        },
      },
      "yarnApplications": [ # 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.
        { # A YARN application created by a job. Application information is a subset of org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto.Beta Feature: This report is available for testing purposes only. It may be changed before final release.
          "progress": 3.14, # Required. The numerical progress of the application, from 1 to 100.
          "state": "A String", # Required. The application state.
          "name": "A String", # Required. The application name.
          "trackingUrl": "A String", # Optional. The HTTP URL of the ApplicationMaster, HistoryServer, or TimelineServer that provides application-specific information. The URL uses the internal hostname, and requires a proxy server for resolution and, possibly, access.
        },
      ],
      "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional. Job scheduling configuration.
        "maxFailuresPerHour": 42, # Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.
      },
      "statusHistory": [ # Output-only. The previous job status.
        { # Cloud Dataproc job status.
          "state": "A String", # Output-only. A state message specifying the overall job state.
          "stateStartTime": "A String", # Output-only. The time when this state was entered.
          "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
          "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
        },
      ],
      "hiveJob": { # A Cloud Dataproc job for running Apache Hive (https://hive.apache.org/) queries on YARN. # Job is a Hive job.
        "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries.
        "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
          "a_key": "A String",
        },
        "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
          "A String",
        ],
        "queryList": { # A list of queries to run on a cluster. # A list of queries.
          "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
              # "hiveJob": {
              #   "queryList": {
              #     "queries": [
              #       "query1",
              #       "query2",
              #       "query3;query4",
              #     ]
              #   }
              # }
            "A String",
          ],
        },
        "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
        "properties": { # Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
          "a_key": "A String",
        },
      },
    }

      updateMask: string, Required. Specifies the path, relative to Job, of the field to update. For example, to update the labels of a Job the update_mask parameter would be specified as labels, and the PATCH request body would specify the new value. Note: Currently, labels is the only field that can be updated.
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # A Cloud Dataproc job resource.
        "status": { # Cloud Dataproc job status. # Output-only. The job status. Additional application-specific status information may be contained in the type_job and yarn_applications fields.
          "state": "A String", # Output-only. A state message specifying the overall job state.
          "stateStartTime": "A String", # Output-only. The time when this state was entered.
          "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
          "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
        },
        "sparkSqlJob": { # A Cloud Dataproc job for running Apache Spark SQL (http://spark.apache.org/sql/) queries. # Job is a SparkSql job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
            "a_key": "A String",
          },
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "properties": { # Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.
            "a_key": "A String",
          },
        },
        "pigJob": { # A Cloud Dataproc job for running Apache Pig (https://pig.apache.org/) queries on YARN. # Job is a Pig job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
            "a_key": "A String",
          },
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
          "properties": { # Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
            "a_key": "A String",
          },
        },
        "placement": { # Cloud Dataproc job config. # Required. Job information, including how, when, and where to run the job.
          "clusterName": "A String", # Required. The name of the cluster where the job will be submitted.
          "clusterUuid": "A String", # Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted.
        },
        "reference": { # Encapsulates the full scoping used to reference a job. # Optional. The fully qualified reference to the job, which can be used to obtain the equivalent REST path of the job resource. If this property is not specified when a job is created, the server generates a job_id.
          "projectId": "A String", # Required. The ID of the Google Cloud Platform project that the job belongs to.
          "jobId": "A String", # Optional. The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or hyphens (-). The maximum length is 100 characters.
        },
        "hadoopJob": { # A Cloud 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). # Job is a Hadoop job.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "mainClass": "A String", # The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
            "A String",
          ],
          "mainJarFileUri": "A String", # The HCFS URI of the jar file containing the main class. Examples:  'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar'  'hdfs:/tmp/test-samples/custom-wordcount.jar'  'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
          "properties": { # Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
            "a_key": "A String",
          },
        },
        "labels": { # 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.
          "a_key": "A String",
        },
        "driverOutputResourceUri": "A String", # Output-only. A URI pointing to the location of the stdout of the job's driver program.
        "pysparkJob": { # A Cloud Dataproc job for running Apache PySpark (https://spark.apache.org/docs/0.9.0/python-programming-guide.html) applications on YARN. # Job is a Pyspark job.
          "mainPythonFileUri": "A String", # Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.
            "A String",
          ],
          "pythonFileUris": [ # Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
            "A String",
          ],
          "properties": { # Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
            "a_key": "A String",
          },
        },
        "driverControlFilesUri": "A 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.
        "sparkJob": { # A Cloud Dataproc job for running Apache Spark (http://spark.apache.org/) applications on YARN. # Job is a Spark job.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "mainClass": "A String", # The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jar_file_uris.
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
            "A String",
          ],
          "mainJarFileUri": "A String", # The HCFS URI of the jar file that contains the main class.
          "properties": { # Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
            "a_key": "A String",
          },
        },
        "yarnApplications": [ # 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.
          { # A YARN application created by a job. Application information is a subset of org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto.Beta Feature: This report is available for testing purposes only. It may be changed before final release.
            "progress": 3.14, # Required. The numerical progress of the application, from 1 to 100.
            "state": "A String", # Required. The application state.
            "name": "A String", # Required. The application name.
            "trackingUrl": "A String", # Optional. The HTTP URL of the ApplicationMaster, HistoryServer, or TimelineServer that provides application-specific information. The URL uses the internal hostname, and requires a proxy server for resolution and, possibly, access.
          },
        ],
        "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional. Job scheduling configuration.
          "maxFailuresPerHour": 42, # Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.
        },
        "statusHistory": [ # Output-only. The previous job status.
          { # Cloud Dataproc job status.
            "state": "A String", # Output-only. A state message specifying the overall job state.
            "stateStartTime": "A String", # Output-only. The time when this state was entered.
            "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
            "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
          },
        ],
        "hiveJob": { # A Cloud Dataproc job for running Apache Hive (https://hive.apache.org/) queries on YARN. # Job is a Hive job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
            "a_key": "A String",
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
          "properties": { # Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
            "a_key": "A String",
          },
        },
      }

`submit(projectId, region, body, x__xgafv=None)`

    Submits a job to a cluster.

    Args:
      projectId: string, Required. The ID of the Google Cloud Platform project that the job belongs to. (required)
      region: string, Required. The Cloud Dataproc region in which to handle the request. (required)
      body: object, The request body. (required)
        The object takes the form of:

    { # A request to submit a job.
        "job": { # A Cloud Dataproc job resource. # Required. The job resource.
          "status": { # Cloud Dataproc job status. # Output-only. The job status. Additional application-specific status information may be contained in the type_job and yarn_applications fields.
            "state": "A String", # Output-only. A state message specifying the overall job state.
            "stateStartTime": "A String", # Output-only. The time when this state was entered.
            "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
            "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
          },
          "sparkSqlJob": { # A Cloud Dataproc job for running Apache Spark SQL (http://spark.apache.org/sql/) queries. # Job is a SparkSql job.
            "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries.
            "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
              "a_key": "A String",
            },
            "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
              "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
                "a_key": "A String",
              },
            },
            "jarFileUris": [ # Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
              "A String",
            ],
            "queryList": { # A list of queries to run on a cluster. # A list of queries.
              "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                  # "hiveJob": {
                  #   "queryList": {
                  #     "queries": [
                  #       "query1",
                  #       "query2",
                  #       "query3;query4",
                  #     ]
                  #   }
                  # }
                "A String",
              ],
            },
            "properties": { # Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.
              "a_key": "A String",
            },
          },
          "pigJob": { # A Cloud Dataproc job for running Apache Pig (https://pig.apache.org/) queries on YARN. # Job is a Pig job.
            "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries.
            "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
              "a_key": "A String",
            },
            "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
              "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
                "a_key": "A String",
              },
            },
            "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
              "A String",
            ],
            "queryList": { # A list of queries to run on a cluster. # A list of queries.
              "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                  # "hiveJob": {
                  #   "queryList": {
                  #     "queries": [
                  #       "query1",
                  #       "query2",
                  #       "query3;query4",
                  #     ]
                  #   }
                  # }
                "A String",
              ],
            },
            "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
            "properties": { # Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
              "a_key": "A String",
            },
          },
          "placement": { # Cloud Dataproc job config. # Required. Job information, including how, when, and where to run the job.
            "clusterName": "A String", # Required. The name of the cluster where the job will be submitted.
            "clusterUuid": "A String", # Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted.
          },
          "reference": { # Encapsulates the full scoping used to reference a job. # Optional. The fully qualified reference to the job, which can be used to obtain the equivalent REST path of the job resource. If this property is not specified when a job is created, the server generates a job_id.
            "projectId": "A String", # Required. The ID of the Google Cloud Platform project that the job belongs to.
            "jobId": "A String", # Optional. The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or hyphens (-). The maximum length is 100 characters.
          },
          "hadoopJob": { # A Cloud 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). # Job is a Hadoop job.
            "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
              "A String",
            ],
            "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
              "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
                "a_key": "A String",
              },
            },
            "jarFileUris": [ # Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
              "A String",
            ],
            "fileUris": [ # Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
              "A String",
            ],
            "mainClass": "A String", # The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
            "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
              "A String",
            ],
            "mainJarFileUri": "A String", # The HCFS URI of the jar file containing the main class. Examples:  'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar'  'hdfs:/tmp/test-samples/custom-wordcount.jar'  'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
            "properties": { # Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
              "a_key": "A String",
            },
          },
          "labels": { # 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.
            "a_key": "A String",
          },
          "driverOutputResourceUri": "A String", # Output-only. A URI pointing to the location of the stdout of the job's driver program.
          "pysparkJob": { # A Cloud Dataproc job for running Apache PySpark (https://spark.apache.org/docs/0.9.0/python-programming-guide.html) applications on YARN. # Job is a Pyspark job.
            "mainPythonFileUri": "A String", # Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
            "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
              "A String",
            ],
            "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
              "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
                "a_key": "A String",
              },
            },
            "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
              "A String",
            ],
            "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.
              "A String",
            ],
            "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.
              "A String",
            ],
            "pythonFileUris": [ # Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
              "A String",
            ],
            "properties": { # Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
              "a_key": "A String",
            },
          },
          "driverControlFilesUri": "A 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.
          "sparkJob": { # A Cloud Dataproc job for running Apache Spark (http://spark.apache.org/) applications on YARN. # Job is a Spark job.
            "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
              "A String",
            ],
            "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
              "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
                "a_key": "A String",
              },
            },
            "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
              "A String",
            ],
            "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.
              "A String",
            ],
            "mainClass": "A String", # The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jar_file_uris.
            "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
              "A String",
            ],
            "mainJarFileUri": "A String", # The HCFS URI of the jar file that contains the main class.
            "properties": { # Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
              "a_key": "A String",
            },
          },
          "yarnApplications": [ # 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.
            { # A YARN application created by a job. Application information is a subset of org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto.Beta Feature: This report is available for testing purposes only. It may be changed before final release.
              "progress": 3.14, # Required. The numerical progress of the application, from 1 to 100.
              "state": "A String", # Required. The application state.
              "name": "A String", # Required. The application name.
              "trackingUrl": "A String", # Optional. The HTTP URL of the ApplicationMaster, HistoryServer, or TimelineServer that provides application-specific information. The URL uses the internal hostname, and requires a proxy server for resolution and, possibly, access.
            },
          ],
          "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional. Job scheduling configuration.
            "maxFailuresPerHour": 42, # Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.
          },
          "statusHistory": [ # Output-only. The previous job status.
            { # Cloud Dataproc job status.
              "state": "A String", # Output-only. A state message specifying the overall job state.
              "stateStartTime": "A String", # Output-only. The time when this state was entered.
              "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
              "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
            },
          ],
          "hiveJob": { # A Cloud Dataproc job for running Apache Hive (https://hive.apache.org/) queries on YARN. # Job is a Hive job.
            "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries.
            "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
              "a_key": "A String",
            },
            "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
              "A String",
            ],
            "queryList": { # A list of queries to run on a cluster. # A list of queries.
              "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                  # "hiveJob": {
                  #   "queryList": {
                  #     "queries": [
                  #       "query1",
                  #       "query2",
                  #       "query3;query4",
                  #     ]
                  #   }
                  # }
                "A String",
              ],
            },
            "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
            "properties": { # Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
              "a_key": "A String",
            },
          },
        },
      }

      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # A Cloud Dataproc job resource.
        "status": { # Cloud Dataproc job status. # Output-only. The job status. Additional application-specific status information may be contained in the type_job and yarn_applications fields.
          "state": "A String", # Output-only. A state message specifying the overall job state.
          "stateStartTime": "A String", # Output-only. The time when this state was entered.
          "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
          "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
        },
        "sparkSqlJob": { # A Cloud Dataproc job for running Apache Spark SQL (http://spark.apache.org/sql/) queries. # Job is a SparkSql job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
            "a_key": "A String",
          },
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "properties": { # Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.
            "a_key": "A String",
          },
        },
        "pigJob": { # A Cloud Dataproc job for running Apache Pig (https://pig.apache.org/) queries on YARN. # Job is a Pig job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
            "a_key": "A String",
          },
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
          "properties": { # Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
            "a_key": "A String",
          },
        },
        "placement": { # Cloud Dataproc job config. # Required. Job information, including how, when, and where to run the job.
          "clusterName": "A String", # Required. The name of the cluster where the job will be submitted.
          "clusterUuid": "A String", # Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted.
        },
        "reference": { # Encapsulates the full scoping used to reference a job. # Optional. The fully qualified reference to the job, which can be used to obtain the equivalent REST path of the job resource. If this property is not specified when a job is created, the server generates a job_id.
          "projectId": "A String", # Required. The ID of the Google Cloud Platform project that the job belongs to.
          "jobId": "A String", # Optional. The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or hyphens (-). The maximum length is 100 characters.
        },
        "hadoopJob": { # A Cloud 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). # Job is a Hadoop job.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "mainClass": "A String", # The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
            "A String",
          ],
          "mainJarFileUri": "A String", # The HCFS URI of the jar file containing the main class. Examples:  'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar'  'hdfs:/tmp/test-samples/custom-wordcount.jar'  'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
          "properties": { # Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
            "a_key": "A String",
          },
        },
        "labels": { # 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.
          "a_key": "A String",
        },
        "driverOutputResourceUri": "A String", # Output-only. A URI pointing to the location of the stdout of the job's driver program.
        "pysparkJob": { # A Cloud Dataproc job for running Apache PySpark (https://spark.apache.org/docs/0.9.0/python-programming-guide.html) applications on YARN. # Job is a Pyspark job.
          "mainPythonFileUri": "A String", # Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.
            "A String",
          ],
          "pythonFileUris": [ # Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
            "A String",
          ],
          "properties": { # Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
            "a_key": "A String",
          },
        },
        "driverControlFilesUri": "A 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.
        "sparkJob": { # A Cloud Dataproc job for running Apache Spark (http://spark.apache.org/) applications on YARN. # Job is a Spark job.
          "args": [ # Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
            "A String",
          ],
          "loggingConfig": { # The runtime logging config of the job. # Optional. The runtime log config for job execution.
            "driverLogLevels": { # The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples:  'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
              "a_key": "A String",
            },
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
            "A String",
          ],
          "fileUris": [ # Optional. HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.
            "A String",
          ],
          "mainClass": "A String", # The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jar_file_uris.
          "archiveUris": [ # Optional. HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
            "A String",
          ],
          "mainJarFileUri": "A String", # The HCFS URI of the jar file that contains the main class.
          "properties": { # Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
            "a_key": "A String",
          },
        },
        "yarnApplications": [ # 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.
          { # A YARN application created by a job. Application information is a subset of org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto.Beta Feature: This report is available for testing purposes only. It may be changed before final release.
            "progress": 3.14, # Required. The numerical progress of the application, from 1 to 100.
            "state": "A String", # Required. The application state.
            "name": "A String", # Required. The application name.
            "trackingUrl": "A String", # Optional. The HTTP URL of the ApplicationMaster, HistoryServer, or TimelineServer that provides application-specific information. The URL uses the internal hostname, and requires a proxy server for resolution and, possibly, access.
          },
        ],
        "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional. Job scheduling configuration.
          "maxFailuresPerHour": 42, # Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.
        },
        "statusHistory": [ # Output-only. The previous job status.
          { # Cloud Dataproc job status.
            "state": "A String", # Output-only. A state message specifying the overall job state.
            "stateStartTime": "A String", # Output-only. The time when this state was entered.
            "details": "A String", # Output-only. Optional job state details, such as an error description if the state is ERROR.
            "substate": "A String", # Output-only. Additional state information, which includes status reported by the agent.
          },
        ],
        "hiveJob": { # A Cloud Dataproc job for running Apache Hive (https://hive.apache.org/) queries on YARN. # Job is a Hive job.
          "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries.
          "scriptVariables": { # Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
            "a_key": "A String",
          },
          "jarFileUris": [ # Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
            "A String",
          ],
          "queryList": { # A list of queries to run on a cluster. # A list of queries.
            "queries": [ # Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:
                # "hiveJob": {
                #   "queryList": {
                #     "queries": [
                #       "query1",
                #       "query2",
                #       "query3;query4",
                #     ]
                #   }
                # }
              "A String",
            ],
          },
          "continueOnFailure": True or False, # Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
          "properties": { # Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
            "a_key": "A String",
          },
        },
      }