Class Cluster (5.0.1)

Version 5.0.1

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

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

Attributes

Name	Description
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.
config	google.cloud.dataproc_v1.types.ClusterConfig 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.
virtual_cluster_config	google.cloud.dataproc_v1.types.VirtualClusterConfig 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	Mapping[str, str] Optional. The labels to associate with this cluster. Label **keys** must contain 1 to 63 characters, and must conform to `RFC 1035
status	google.cloud.dataproc_v1.types.ClusterStatus Output only. Cluster status.
status_history	Sequence[google.cloud.dataproc_v1.types.ClusterStatus] 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.
metrics	google.cloud.dataproc_v1.types.ClusterMetrics 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.

Inheritance

builtins.object > proto.message.Message > Cluster

Classes

LabelsEntry

LabelsEntry(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.