Class PySparkBatch (5.9.2)

Version 5.9.2

• 5.16.0 (latest)
• 5.15.1
• 5.14.0
• 5.13.0
• 5.12.0
• 5.10.2
• 5.9.3
• 5.8.0
• 5.7.0
• 5.6.0
• 5.5.1
• 5.4.3
• 5.3.0
• 5.2.0
• 5.1.0
• 5.0.3
• 4.0.3
• 3.3.2
• 3.2.0
• 3.1.1
• 3.0.0
• 2.6.2
• 2.5.0
• 2.4.0
• 2.3.1
• 2.2.0
• 2.0.2
• 1.1.3
• 1.0.1
• 0.8.2
• 0.7.0
• 0.6.1
• 0.5.0

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
Name	Description
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	MutableSequence[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	MutableSequence[str] Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
jar_file_uris	MutableSequence[str] Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.
file_uris	MutableSequence[str] Optional. HCFS URIs of files to be placed in the working directory of each executor.
archive_uris	MutableSequence[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.