Class SparkJob (2.4.0)

Version 2.4.0

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

A Dataproc job for running Apache Spark <http://spark.apache.org/>__ applications on YARN.

Attributes
Name	Description
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 placed in the working directory of each executor. Useful for naively parallel tasks.
archive_uris	Sequence[str] Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
properties	Sequence[google.cloud.dataproc_v1.types.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	google.cloud.dataproc_v1.types.LoggingConfig Optional. The runtime log config for job execution.

Classes

PropertiesEntry

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

The abstract base class for a message.

Parameters
Name	Description
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.