Class PySparkBatch (3.3.1)

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

A configuration for running an Apache PySpark <https://spark.apache.org/docs/latest/api/python/getting_started/quickstart.html>__ batch workload.

Attributes

NameDescription
main_python_file_uri str
Required. The HCFS URI of the main Python file to use as the Spark driver. Must be a .py file.
args Sequence[str]
Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as ``--conf``, since a collision can occur that causes an incorrect batch 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 classpath 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.
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``.

Inheritance

builtins.object > proto.message.Message > PySparkBatch