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 |
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``. |