Class KubernetesSoftwareConfig

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

The software configuration for this Dataproc cluster running on Kubernetes.

Attributes

Name	Description
component_version	`Sequence[google.cloud.dataproc_v1.types.KubernetesSoftwareConfig.ComponentVersionEntry]` 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	`Sequence[google.cloud.dataproc_v1.types.KubernetesSoftwareConfig.PropertiesEntry]` 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

builtins.object > proto.message.Message > KubernetesSoftwareConfig

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.