pulumi-google-native-kotlin/com.pulumi.googlenative.dataproc.v1.kotlin.inputs/VirtualClusterConfigArgs

VirtualClusterConfigArgs

data class VirtualClusterConfigArgs(val auxiliaryServicesConfig: Output<AuxiliaryServicesConfigArgs>? = null, val kubernetesClusterConfig: Output<KubernetesClusterConfigArgs>, val stagingBucket: Output<String>? = null) : ConvertibleToJava<VirtualClusterConfigArgs>

The Dataproc cluster config for a cluster that does not directly control the underlying compute resources, such as a Dataproc-on-GKE cluster (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview).

Constructors

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fun VirtualClusterConfigArgs(auxiliaryServicesConfig: Output<AuxiliaryServicesConfigArgs>? = null, kubernetesClusterConfig: Output<KubernetesClusterConfigArgs>, stagingBucket: Output<String>? = null)

Functions

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open override fun toJava(): VirtualClusterConfigArgs

Properties

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val auxiliaryServicesConfig: Output<AuxiliaryServicesConfigArgs>? = null

Optional. Configuration of auxiliary services used by this cluster.

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val kubernetesClusterConfig: Output<KubernetesClusterConfigArgs>

The configuration for running the Dataproc cluster on Kubernetes.

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val stagingBucket: Output<String>? = null

Optional. A Cloud 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 (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.