Reference documentation and code samples for the Cloud Dataproc V1 API class Google::Cloud::Dataproc::V1::WorkflowTemplatePlacement.
Specifies workflow execution target.
Either managed_cluster or cluster_selector is required.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#cluster_selector
def cluster_selector() -> ::Google::Cloud::Dataproc::V1::ClusterSelector
Returns
-
(::Google::Cloud::Dataproc::V1::ClusterSelector) — Optional. A selector that chooses target cluster for jobs based
on metadata.
The selector is evaluated at the time each job is submitted.
#cluster_selector=
def cluster_selector=(value) -> ::Google::Cloud::Dataproc::V1::ClusterSelector
Parameter
-
value (::Google::Cloud::Dataproc::V1::ClusterSelector) — Optional. A selector that chooses target cluster for jobs based
on metadata.
The selector is evaluated at the time each job is submitted.
Returns
-
(::Google::Cloud::Dataproc::V1::ClusterSelector) — Optional. A selector that chooses target cluster for jobs based
on metadata.
The selector is evaluated at the time each job is submitted.
#managed_cluster
def managed_cluster() -> ::Google::Cloud::Dataproc::V1::ManagedCluster
Returns
- (::Google::Cloud::Dataproc::V1::ManagedCluster) — A cluster that is managed by the workflow.
#managed_cluster=
def managed_cluster=(value) -> ::Google::Cloud::Dataproc::V1::ManagedCluster
Parameter
- value (::Google::Cloud::Dataproc::V1::ManagedCluster) — A cluster that is managed by the workflow.
Returns
- (::Google::Cloud::Dataproc::V1::ManagedCluster) — A cluster that is managed by the workflow.