Class PySparkJob (2.6.1)

Version 2.6.1

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

A Dataproc job for running Apache PySpark <https://spark.apache.org/docs/0.9.0/python-programming-guide.html>__ applications on YARN.

Attributes

Name	Description
main_python_file_uri	str Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
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.
python_file_uris	Sequence[str] Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
jar_file_uris	Sequence[str] Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python 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.PySparkJob.PropertiesEntry] Optional. A mapping of property names to values, used to configure PySpark. 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.

Inheritance

builtins.object > proto.message.Message > PySparkJob

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.