Class KubernetesSoftwareConfig (5.10.2)

KubernetesSoftwareConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The software configuration for this Dataproc cluster running on Kubernetes.

Attributes
Name	Description
`component_version`	`MutableMapping[str, str]` The components that should be installed in this Dataproc cluster. The key must be a string from the KubernetesComponent enumeration. The value is the version of the software to be installed. At least one entry must be specified.
`properties`	`MutableMapping[str, str]` The properties to set on daemon config files. Property keys are specified in `prefix:property` format, for example `spark:spark.kubernetes.container.image`. The following are supported prefixes and their mappings: - spark: `spark-defaults.conf` For more information, see `Cluster properties

Classes

ComponentVersionEntry(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.

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.