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,
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 |
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 |