Class ClusterSelector (2.6.1)

Version 2.6.1

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

A selector that chooses target cluster for jobs based on metadata.

Attributes

Name	Description
zone	str Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster. If unspecified, the zone of the first cluster matching the selector is used.
cluster_labels	Sequence[google.cloud.dataproc_v1.types.ClusterSelector.ClusterLabelsEntry] Required. The cluster labels. Cluster must have all labels to match.

Inheritance

builtins.object > proto.message.Message > ClusterSelector

Classes

ClusterLabelsEntry

ClusterLabelsEntry(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.