SparkJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)A Dataproc job for running Apache
Spark <http://spark.apache.org/>__ applications on YARN.
Attributes | |
|---|---|
| Name | Description |
main_jar_file_uri |
str
The HCFS URI of the jar file that contains the main class. |
main_class |
str
The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jar_file_uris.
|
args |
Sequence[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.
|
jar_file_uris |
Sequence[str]
Optional. HCFS URIs of jar files to add to the CLASSPATHs 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. Useful for naively parallel tasks. |
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. |
properties |
Sequence[google.cloud.dataproc_v1.types.SparkJob.PropertiesEntry]
Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API may 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,
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 |