Class Cluster (4.0.3)

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

Describes the identifying information, config, and status of a Dataproc cluster


project_id str
Required. The Google Cloud Platform project ID that the cluster belongs to.
cluster_name str
Required. The cluster name. Cluster names within a project must be unique. Names of deleted clusters can be reused.
Optional. The cluster config for a cluster of Compute Engine Instances. Note that Dataproc may set default values, and values may change when clusters are updated.
Optional. The virtual cluster config, used when creating a Dataproc cluster that does not directly control the underlying compute resources, for example, when creating a `Dataproc-on-GKE cluster
labels Sequence[]
Optional. The labels to associate with this cluster. Label **keys** must contain 1 to 63 characters, and must conform to `RFC 1035
Output only. Cluster status.
status_history Sequence[]
Output only. The previous cluster status.
cluster_uuid str
Output only. A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
Output only. Contains cluster daemon metrics such as HDFS and YARN stats. **Beta Feature**: This report is available for testing purposes only. It may be changed before final release.


builtins.object > proto.message.Message > Cluster



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

The abstract base class for a message.

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.