Class SparkJob (2.0.2)

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[.gcd_jobs.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`	`.gcd_jobs.LoggingConfig` Optional. The runtime log config for job execution.

Classes

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.