Cloud Dataproc V1 API - Class Google::Cloud::Dataproc::V1::VirtualClusterConfig (v0.11.0)

Version 0.11.0

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Reference documentation and code samples for the Cloud Dataproc V1 API class Google::Cloud::Dataproc::V1::VirtualClusterConfig.

Dataproc cluster config for a cluster that does not directly control the underlying compute resources, such as a Dataproc-on-GKE cluster.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#auxiliary_services_config

def auxiliary_services_config() -> ::Google::Cloud::Dataproc::V1::AuxiliaryServicesConfig

Returns

• (::Google::Cloud::Dataproc::V1::AuxiliaryServicesConfig) — Optional. Configuration of auxiliary services used by this cluster.

#auxiliary_services_config=

def auxiliary_services_config=(value) -> ::Google::Cloud::Dataproc::V1::AuxiliaryServicesConfig

Parameter

• value (::Google::Cloud::Dataproc::V1::AuxiliaryServicesConfig) — Optional. Configuration of auxiliary services used by this cluster.

Returns

• (::Google::Cloud::Dataproc::V1::AuxiliaryServicesConfig) — Optional. Configuration of auxiliary services used by this cluster.

#kubernetes_cluster_config

def kubernetes_cluster_config() -> ::Google::Cloud::Dataproc::V1::KubernetesClusterConfig

Returns

• (::Google::Cloud::Dataproc::V1::KubernetesClusterConfig) — Required. The configuration for running the Dataproc cluster on Kubernetes.

#kubernetes_cluster_config=

def kubernetes_cluster_config=(value) -> ::Google::Cloud::Dataproc::V1::KubernetesClusterConfig

Parameter

• value (::Google::Cloud::Dataproc::V1::KubernetesClusterConfig) — Required. The configuration for running the Dataproc cluster on Kubernetes.

Returns

• (::Google::Cloud::Dataproc::V1::KubernetesClusterConfig) — Required. The configuration for running the Dataproc cluster on Kubernetes.

#staging_bucket

def staging_bucket() -> ::String

Returns

• (::String) — Optional. A Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.

#staging_bucket=

def staging_bucket=(value) -> ::String

Parameter

• value (::String) — Optional. A Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.

Returns

• (::String) — Optional. A Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.