Class KubernetesSoftwareConfig (5.5.1)

Version 5.5.1

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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

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

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.