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 .
|