Class Job (5.0.3)

Stay organized with collections Save and categorize content based on your preferences.
Job(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A Dataproc job resource.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Attributes

NameDescription
reference google.cloud.dataproc_v1.types.JobReference
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.
placement google.cloud.dataproc_v1.types.JobPlacement
Required. Job information, including how, when, and where to run the job.
hadoop_job google.cloud.dataproc_v1.types.HadoopJob
Optional. Job is a Hadoop job. This field is a member of oneof_ type_job.
spark_job google.cloud.dataproc_v1.types.SparkJob
Optional. Job is a Spark job. This field is a member of oneof_ type_job.
pyspark_job google.cloud.dataproc_v1.types.PySparkJob
Optional. Job is a PySpark job. This field is a member of oneof_ type_job.
hive_job google.cloud.dataproc_v1.types.HiveJob
Optional. Job is a Hive job. This field is a member of oneof_ type_job.
pig_job google.cloud.dataproc_v1.types.PigJob
Optional. Job is a Pig job. This field is a member of oneof_ type_job.
spark_r_job google.cloud.dataproc_v1.types.SparkRJob
Optional. Job is a SparkR job. This field is a member of oneof_ type_job.
spark_sql_job google.cloud.dataproc_v1.types.SparkSqlJob
Optional. Job is a SparkSql job. This field is a member of oneof_ type_job.
presto_job google.cloud.dataproc_v1.types.PrestoJob
Optional. Job is a Presto job. This field is a member of oneof_ type_job.
status google.cloud.dataproc_v1.types.JobStatus
Output only. The job status. Additional application-specific status information may be contained in the type_job and yarn_applications fields.
status_history Sequence[google.cloud.dataproc_v1.types.JobStatus]
Output only. The previous job status.
yarn_applications Sequence[google.cloud.dataproc_v1.types.YarnApplication]
Output only. The collection of YARN applications spun up by this job. **Beta** Feature: This report is available for testing purposes only. It may be changed before final release.
driver_output_resource_uri str
Output only. A URI pointing to the location of the stdout of the job's driver program.
driver_control_files_uri str
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.
labels Mapping[str, str]
Optional. The labels to associate with this job. Label **keys** must contain 1 to 63 characters, and must conform to RFC 1035 __. Label **values** may be empty, but, if present, must contain 1 to 63 characters, and must conform to `RFC 1035
scheduling google.cloud.dataproc_v1.types.JobScheduling
Optional. Job scheduling configuration.
job_uuid str
Output only. A UUID that uniquely identifies a job within the project over time. This is in contrast to a user-settable reference.job_id that may be reused over time.
done bool
Output only. Indicates whether the job is completed. If the value is false, the job is still in progress. If true, the job is completed, and status.state field will indicate if it was successful, failed, or cancelled.

Inheritance

builtins.object > proto.message.Message > Job

Classes

LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
NameDescription
kwargs dict

Keys and values corresponding to the fields of the message.

mapping Union[dict, .Message]

A dictionary or message to be used to determine the values for this message.

ignore_unknown_fields Optional(bool)

If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.