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Class SparkRJob (5.21.0)
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SparkRJob ( mapping = None , * , ignore_unknown_fields = False , ** kwargs )
A Dataproc job for running Apache
SparkR <https://spark.apache.org/docs/latest/sparkr.html>
__
applications on YARN.
Attributes
Name
Description
main_r_file_uri
str
Required. The HCFS URI of the main R file to
use as the driver. Must be a .R file.
args
MutableSequence[str]
Optional. The arguments to pass to the driver. Do not
include arguments, such as --conf
, that can be set as
job properties, since a collision may occur that causes an
incorrect job submission.
file_uris
MutableSequence[str]
Optional. HCFS URIs of files to be placed in
the working directory of each executor. Useful
for naively parallel tasks.
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.
properties
MutableMapping[str, str]
Optional. A mapping of property names to
values, used to configure SparkR. Properties
that conflict with values set by the Dataproc
API might be overwritten. Can include properties
set in
/etc/spark/conf/spark-defaults.conf and classes
in user code.
logging_config
google.cloud.dataproc_v1.types.LoggingConfig
Optional. The runtime log config for job
execution.
Classes
PropertiesEntry
PropertiesEntry ( mapping = None , * , ignore_unknown_fields = False , ** kwargs )
The abstract base class for a message.
Parameters
Name
Description
kwargs
dict
Keys and values corresponding to the fields of the message.
mapping
Union[dict, .Message
]
A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields
Optional(bool)
If True, do not raise errors for unknown fields. Only applied if mapping
is a mapping type or there are keyword parameters.
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Last updated 2025-08-07 UTC.
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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[],[],null,["# Class SparkRJob (5.21.0)\n\nVersion latestkeyboard_arrow_down\n\n- [5.21.0 (latest)](/python/docs/reference/dataproc/latest/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.20.0](/python/docs/reference/dataproc/5.20.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.18.1](/python/docs/reference/dataproc/5.18.1/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.17.1](/python/docs/reference/dataproc/5.17.1/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.16.0](/python/docs/reference/dataproc/5.16.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.15.1](/python/docs/reference/dataproc/5.15.1/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.14.0](/python/docs/reference/dataproc/5.14.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.13.0](/python/docs/reference/dataproc/5.13.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.12.0](/python/docs/reference/dataproc/5.12.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.10.2](/python/docs/reference/dataproc/5.10.2/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.9.3](/python/docs/reference/dataproc/5.9.3/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.8.0](/python/docs/reference/dataproc/5.8.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.7.0](/python/docs/reference/dataproc/5.7.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.6.0](/python/docs/reference/dataproc/5.6.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.5.1](/python/docs/reference/dataproc/5.5.1/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.4.3](/python/docs/reference/dataproc/5.4.3/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.3.0](/python/docs/reference/dataproc/5.3.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.2.0](/python/docs/reference/dataproc/5.2.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.1.0](/python/docs/reference/dataproc/5.1.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [5.0.3](/python/docs/reference/dataproc/5.0.3/google.cloud.dataproc_v1.types.SparkRJob)\n- [4.0.3](/python/docs/reference/dataproc/4.0.3/google.cloud.dataproc_v1.types.SparkRJob)\n- [3.3.2](/python/docs/reference/dataproc/3.3.2/google.cloud.dataproc_v1.types.SparkRJob)\n- [3.2.0](/python/docs/reference/dataproc/3.2.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [3.1.1](/python/docs/reference/dataproc/3.1.1/google.cloud.dataproc_v1.types.SparkRJob)\n- [3.0.0](/python/docs/reference/dataproc/3.0.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [2.6.2](/python/docs/reference/dataproc/2.6.2/google.cloud.dataproc_v1.types.SparkRJob)\n- [2.5.0](/python/docs/reference/dataproc/2.5.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [2.4.0](/python/docs/reference/dataproc/2.4.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [2.3.1](/python/docs/reference/dataproc/2.3.1/google.cloud.dataproc_v1.types.SparkRJob)\n- [2.2.0](/python/docs/reference/dataproc/2.2.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [2.0.2](/python/docs/reference/dataproc/2.0.2/google.cloud.dataproc_v1.types.SparkRJob)\n- [1.1.3](/python/docs/reference/dataproc/1.1.3/google.cloud.dataproc_v1.types.SparkRJob)\n- [1.0.1](/python/docs/reference/dataproc/1.0.1/google.cloud.dataproc_v1.types.SparkRJob)\n- [0.8.2](/python/docs/reference/dataproc/0.8.2/google.cloud.dataproc_v1.types.SparkRJob)\n- [0.7.0](/python/docs/reference/dataproc/0.7.0/google.cloud.dataproc_v1.types.SparkRJob)\n- [0.6.1](/python/docs/reference/dataproc/0.6.1/google.cloud.dataproc_v1.types.SparkRJob)\n- [0.5.0](/python/docs/reference/dataproc/0.5.0/google.cloud.dataproc_v1.types.SparkRJob) \n\n SparkRJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nA Dataproc job for running `Apache\nSparkR \u003chttps://spark.apache.org/docs/latest/sparkr.html\u003e`__\napplications on YARN.\n\nClasses\n-------\n\n### PropertiesEntry\n\n PropertiesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nThe abstract base class for a message."]]