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.
labels
Sequence[ google.cloud.dataproc_v1.types.Cluster.LabelsEntry
]
Optional. The labels to associate with this cluster. Label **keys** must contain 1 to 63 characters, and must conform to
RFC 1035
__.
Label **values** may be empty, but, if present, must contain
1 to 63 characters, and must conform to `RFC
1035status
status_history
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.
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.
