# 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](/dataproc/reference/rest/v1/projects.regions.jobs/list) or [regions/{region}/jobs.get](/dataproc/reference/rest/v1/projects.regions.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.

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](/dataproc/reference/rest/v1/projects.regions.jobs/list) or [regions/{region}/jobs.get](/dataproc/reference/rest/v1/projects.regions.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.

    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", # [Required] A state message specifying the overall job state.
          "stateStartTime": "A String", # [Output-only] The time when this state was entered.
          "details": "A String", # [Optional] Job state details, such as an error description if the state is ERROR.
        },
        "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job.
          "jarFileUris": [ # [Optional] Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
            "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",
            },
          },
          "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",
          ],
          "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",
          },
        },
        "statusHistory": [ # [Output-only] The previous job status.
          { # Cloud Dataproc job status.
            "state": "A String", # [Required] A state message specifying the overall job state.
            "stateStartTime": "A String", # [Output-only] The time when this state was entered.
            "details": "A String", # [Optional] Job state details, such as an error description if the state is ERROR.
          },
        ],
        "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", # [Required] 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 512 characters.
        },
        "sparkSqlJob": { # A Cloud Dataproc job for running Spark 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 Pig 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",
          },
        },
        "driverOutputResourceUri": "A String", # [Output-only] A URI pointing to the location of the stdout of the job's driver program.
        "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 Spark applications on YARN. # Job is a Spark job.
          "jarFileUris": [ # [Optional] HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
            "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",
            },
          },
          "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",
          ],
          "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",
          },
        },
        "pysparkJob": { # A Cloud Dataproc job for running PySpark 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",
          },
        },
        "hiveJob": { # A Cloud Dataproc job for running Hive 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.

    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.

    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", # [Required] A state message specifying the overall job state.
          "stateStartTime": "A String", # [Output-only] The time when this state was entered.
          "details": "A String", # [Optional] Job state details, such as an error description if the state is ERROR.
        },
        "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job.
          "jarFileUris": [ # [Optional] Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
            "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",
            },
          },
          "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",
          ],
          "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",
          },
        },
        "statusHistory": [ # [Output-only] The previous job status.
          { # Cloud Dataproc job status.
            "state": "A String", # [Required] A state message specifying the overall job state.
            "stateStartTime": "A String", # [Output-only] The time when this state was entered.
            "details": "A String", # [Optional] Job state details, such as an error description if the state is ERROR.
          },
        ],
        "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", # [Required] 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 512 characters.
        },
        "sparkSqlJob": { # A Cloud Dataproc job for running Spark 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 Pig 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",
          },
        },
        "driverOutputResourceUri": "A String", # [Output-only] A URI pointing to the location of the stdout of the job's driver program.
        "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 Spark applications on YARN. # Job is a Spark job.
          "jarFileUris": [ # [Optional] HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
            "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",
            },
          },
          "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",
          ],
          "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",
          },
        },
        "pysparkJob": { # A Cloud Dataproc job for running PySpark 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",
          },
        },
        "hiveJob": { # A Cloud Dataproc job for running Hive 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, jobStateMatcher=None, pageToken=None, clusterName=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.
      jobStateMatcher: string, [Optional] Specifies enumerated categories of jobs to list.
      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.

    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", # [Required] A state message specifying the overall job state.
              "stateStartTime": "A String", # [Output-only] The time when this state was entered.
              "details": "A String", # [Optional] Job state details, such as an error description if the state is ERROR.
            },
            "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job.
              "jarFileUris": [ # [Optional] Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
                "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",
                },
              },
              "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",
              ],
              "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",
              },
            },
            "statusHistory": [ # [Output-only] The previous job status.
              { # Cloud Dataproc job status.
                "state": "A String", # [Required] A state message specifying the overall job state.
                "stateStartTime": "A String", # [Output-only] The time when this state was entered.
                "details": "A String", # [Optional] Job state details, such as an error description if the state is ERROR.
              },
            ],
            "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", # [Required] 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 512 characters.
            },
            "sparkSqlJob": { # A Cloud Dataproc job for running Spark 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 Pig 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",
              },
            },
            "driverOutputResourceUri": "A String", # [Output-only] A URI pointing to the location of the stdout of the job's driver program.
            "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 Spark applications on YARN. # Job is a Spark job.
              "jarFileUris": [ # [Optional] HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
                "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",
                },
              },
              "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",
              ],
              "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",
              },
            },
            "pysparkJob": { # A Cloud Dataproc job for running PySpark 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",
              },
            },
            "hiveJob": { # A Cloud Dataproc job for running Hive 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.

`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", # [Required] A state message specifying the overall job state.
            "stateStartTime": "A String", # [Output-only] The time when this state was entered.
            "details": "A String", # [Optional] Job state details, such as an error description if the state is ERROR.
          },
          "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job.
            "jarFileUris": [ # [Optional] Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
              "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",
              },
            },
            "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",
            ],
            "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",
            },
          },
          "statusHistory": [ # [Output-only] The previous job status.
            { # Cloud Dataproc job status.
              "state": "A String", # [Required] A state message specifying the overall job state.
              "stateStartTime": "A String", # [Output-only] The time when this state was entered.
              "details": "A String", # [Optional] Job state details, such as an error description if the state is ERROR.
            },
          ],
          "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", # [Required] 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 512 characters.
          },
          "sparkSqlJob": { # A Cloud Dataproc job for running Spark 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 Pig 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",
            },
          },
          "driverOutputResourceUri": "A String", # [Output-only] A URI pointing to the location of the stdout of the job's driver program.
          "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 Spark applications on YARN. # Job is a Spark job.
            "jarFileUris": [ # [Optional] HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
              "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",
              },
            },
            "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",
            ],
            "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",
            },
          },
          "pysparkJob": { # A Cloud Dataproc job for running PySpark 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",
            },
          },
          "hiveJob": { # A Cloud Dataproc job for running Hive 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.

    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", # [Required] A state message specifying the overall job state.
          "stateStartTime": "A String", # [Output-only] The time when this state was entered.
          "details": "A String", # [Optional] Job state details, such as an error description if the state is ERROR.
        },
        "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job.
          "jarFileUris": [ # [Optional] Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
            "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",
            },
          },
          "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",
          ],
          "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",
          },
        },
        "statusHistory": [ # [Output-only] The previous job status.
          { # Cloud Dataproc job status.
            "state": "A String", # [Required] A state message specifying the overall job state.
            "stateStartTime": "A String", # [Output-only] The time when this state was entered.
            "details": "A String", # [Optional] Job state details, such as an error description if the state is ERROR.
          },
        ],
        "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", # [Required] 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 512 characters.
        },
        "sparkSqlJob": { # A Cloud Dataproc job for running Spark 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 Pig 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",
          },
        },
        "driverOutputResourceUri": "A String", # [Output-only] A URI pointing to the location of the stdout of the job's driver program.
        "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 Spark applications on YARN. # Job is a Spark job.
          "jarFileUris": [ # [Optional] HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
            "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",
            },
          },
          "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",
          ],
          "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",
          },
        },
        "pysparkJob": { # A Cloud Dataproc job for running PySpark 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",
          },
        },
        "hiveJob": { # A Cloud Dataproc job for running Hive 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",
          },
        },
      }