Class SparkJob (2.0.2)

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

A Dataproc job for running Apache Spark <>__ applications on YARN. The specification of the main method to call to drive the job. Specify either the jar file that contains the main class or the main class name. To pass both a main jar and a main class in that jar, add the jar to CommonJob.jar_file_uris, and then specify the main class name in main_class.


main_jar_file_uri str
The HCFS URI of the jar file that contains the main class.
main_class str
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.
args Sequence[str]
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.
jar_file_uris Sequence[str]
Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
file_uris Sequence[str]
Optional. HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.
archive_uris Sequence[str]
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.
properties Sequence[.gcd_jobs.SparkJob.PropertiesEntry]
Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
logging_config .gcd_jobs.LoggingConfig
Optional. The runtime log config for job execution.



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

The abstract base class for a message.

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.