SparkBatch(mapping=None, *, ignore_unknown_fields=False, **kwargs)A configuration for running an Apache
Spark <https://spark.apache.org/>__ batch workload.
This message has oneof_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Attributes |
|
|---|---|
| Name | Description |
main_jar_file_uri |
str
Optional. The HCFS URI of the jar file that contains the main class. This field is a member of oneof_ driver.
|
main_class |
str
Optional. The name of the driver main class. The jar file that contains the class must be in the classpath or specified in jar_file_uris.
This field is a member of oneof_ driver.
|
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.
|
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.
|