Google Cloud Native v0.31.1, Jul 20 23

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.31.1 published on Thursday, Jul 20, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.dataproc/v1.getCluster

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.31.1 published on Thursday, Jul 20, 2023 by Pulumi

pulumi/pulumi-google-native

Using getCluster

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getCluster(args: GetClusterArgs, opts?: InvokeOptions): Promise<GetClusterResult>
function getClusterOutput(args: GetClusterOutputArgs, opts?: InvokeOptions): Output<GetClusterResult>

def get_cluster(cluster_name: Optional[str] = None,
                project: Optional[str] = None,
                region: Optional[str] = None,
                opts: Optional[InvokeOptions] = None) -> GetClusterResult
def get_cluster_output(cluster_name: Optional[pulumi.Input[str]] = None,
                project: Optional[pulumi.Input[str]] = None,
                region: Optional[pulumi.Input[str]] = None,
                opts: Optional[InvokeOptions] = None) -> Output[GetClusterResult]

func LookupCluster(ctx *Context, args *LookupClusterArgs, opts ...InvokeOption) (*LookupClusterResult, error)
func LookupClusterOutput(ctx *Context, args *LookupClusterOutputArgs, opts ...InvokeOption) LookupClusterResultOutput

> Note: This function is named LookupCluster in the Go SDK.

public static class GetCluster 
{
    public static Task<GetClusterResult> InvokeAsync(GetClusterArgs args, InvokeOptions? opts = null)
    public static Output<GetClusterResult> Invoke(GetClusterInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetClusterResult> getCluster(GetClusterArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

fn::invoke:
  function: google-native:dataproc/v1:getCluster
  arguments:
    # arguments dictionary

The following arguments are supported:

ClusterName string
Region string
Project string

ClusterName string
Region string
Project string

clusterName String
region String
project String

clusterName string
region string
project string

cluster_name str
region str
project str

clusterName String
region String
project String

getCluster Result

The following output properties are available:

ClusterName string: The cluster name, which must be unique within a project. The name must start with a lowercase letter, and can contain up to 51 lowercase letters, numbers, and hyphens. It cannot end with a hyphen. The name of a deleted cluster can be reused.
ClusterUuid string: A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
Config Pulumi.GoogleNative.Dataproc.V1.Outputs.ClusterConfigResponse: 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.Exactly one of ClusterConfig or VirtualClusterConfig must be specified.
Labels Dictionary<string, string>: Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a cluster.
Metrics Pulumi.GoogleNative.Dataproc.V1.Outputs.ClusterMetricsResponse: 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.
Project string: The Google Cloud Platform project ID that the cluster belongs to.
Status Pulumi.GoogleNative.Dataproc.V1.Outputs.ClusterStatusResponse: Cluster status.
StatusHistory List<Pulumi.GoogleNative.Dataproc.V1.Outputs.ClusterStatusResponse>: The previous cluster status.
VirtualClusterConfig Pulumi.GoogleNative.Dataproc.V1.Outputs.VirtualClusterConfigResponse: Optional. The virtual cluster config is used when creating a Dataproc cluster that does not directly control the underlying compute resources, for example, when creating a Dataproc-on-GKE cluster (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). Dataproc may set default values, and values may change when clusters are updated. Exactly one of config or virtual_cluster_config must be specified.

ClusterName string: The cluster name, which must be unique within a project. The name must start with a lowercase letter, and can contain up to 51 lowercase letters, numbers, and hyphens. It cannot end with a hyphen. The name of a deleted cluster can be reused.
ClusterUuid string: A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
Config ClusterConfigResponse: 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.Exactly one of ClusterConfig or VirtualClusterConfig must be specified.
Labels map[string]string: Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a cluster.
Metrics ClusterMetricsResponse: 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.
Project string: The Google Cloud Platform project ID that the cluster belongs to.
Status ClusterStatusResponse: Cluster status.
StatusHistory []ClusterStatusResponse: The previous cluster status.
VirtualClusterConfig VirtualClusterConfigResponse: Optional. The virtual cluster config is used when creating a Dataproc cluster that does not directly control the underlying compute resources, for example, when creating a Dataproc-on-GKE cluster (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). Dataproc may set default values, and values may change when clusters are updated. Exactly one of config or virtual_cluster_config must be specified.

clusterName String: The cluster name, which must be unique within a project. The name must start with a lowercase letter, and can contain up to 51 lowercase letters, numbers, and hyphens. It cannot end with a hyphen. The name of a deleted cluster can be reused.
clusterUuid String: A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
config ClusterConfigResponse: 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.Exactly one of ClusterConfig or VirtualClusterConfig must be specified.
labels Map<String,String>: Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a cluster.
metrics ClusterMetricsResponse: 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.
project String: The Google Cloud Platform project ID that the cluster belongs to.
status ClusterStatusResponse: Cluster status.
statusHistory List<ClusterStatusResponse>: The previous cluster status.
virtualClusterConfig VirtualClusterConfigResponse: Optional. The virtual cluster config is used when creating a Dataproc cluster that does not directly control the underlying compute resources, for example, when creating a Dataproc-on-GKE cluster (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). Dataproc may set default values, and values may change when clusters are updated. Exactly one of config or virtual_cluster_config must be specified.

clusterName string: The cluster name, which must be unique within a project. The name must start with a lowercase letter, and can contain up to 51 lowercase letters, numbers, and hyphens. It cannot end with a hyphen. The name of a deleted cluster can be reused.
clusterUuid string: A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
config ClusterConfigResponse: 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.Exactly one of ClusterConfig or VirtualClusterConfig must be specified.
labels {[key: string]: string}: Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a cluster.
metrics ClusterMetricsResponse: 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.
project string: The Google Cloud Platform project ID that the cluster belongs to.
status ClusterStatusResponse: Cluster status.
statusHistory ClusterStatusResponse[]: The previous cluster status.
virtualClusterConfig VirtualClusterConfigResponse: Optional. The virtual cluster config is used when creating a Dataproc cluster that does not directly control the underlying compute resources, for example, when creating a Dataproc-on-GKE cluster (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). Dataproc may set default values, and values may change when clusters are updated. Exactly one of config or virtual_cluster_config must be specified.

cluster_name str: The cluster name, which must be unique within a project. The name must start with a lowercase letter, and can contain up to 51 lowercase letters, numbers, and hyphens. It cannot end with a hyphen. The name of a deleted cluster can be reused.
cluster_uuid str: A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
config ClusterConfigResponse: 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.Exactly one of ClusterConfig or VirtualClusterConfig must be specified.
labels Mapping[str, str]: Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a cluster.
metrics ClusterMetricsResponse: 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.
project str: The Google Cloud Platform project ID that the cluster belongs to.
status ClusterStatusResponse: Cluster status.
status_history Sequence[ClusterStatusResponse]: The previous cluster status.
virtual_cluster_config VirtualClusterConfigResponse: Optional. The virtual cluster config is used when creating a Dataproc cluster that does not directly control the underlying compute resources, for example, when creating a Dataproc-on-GKE cluster (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). Dataproc may set default values, and values may change when clusters are updated. Exactly one of config or virtual_cluster_config must be specified.

clusterName String: The cluster name, which must be unique within a project. The name must start with a lowercase letter, and can contain up to 51 lowercase letters, numbers, and hyphens. It cannot end with a hyphen. The name of a deleted cluster can be reused.
clusterUuid String: A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
config Property Map: 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.Exactly one of ClusterConfig or VirtualClusterConfig must be specified.
labels Map<String>: Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a cluster.
metrics Property Map: 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.
project String: The Google Cloud Platform project ID that the cluster belongs to.
status Property Map: Cluster status.
statusHistory List<Property Map>: The previous cluster status.
virtualClusterConfig Property Map: Optional. The virtual cluster config is used when creating a Dataproc cluster that does not directly control the underlying compute resources, for example, when creating a Dataproc-on-GKE cluster (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). Dataproc may set default values, and values may change when clusters are updated. Exactly one of config or virtual_cluster_config must be specified.

Supporting Types

AcceleratorConfigResponse

AcceleratorCount int: The number of the accelerator cards of this type exposed to this instance.
AcceleratorTypeUri string: Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

AcceleratorCount int: The number of the accelerator cards of this type exposed to this instance.
AcceleratorTypeUri string: Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

acceleratorCount Integer: The number of the accelerator cards of this type exposed to this instance.
acceleratorTypeUri String: Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

acceleratorCount number: The number of the accelerator cards of this type exposed to this instance.
acceleratorTypeUri string: Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

accelerator_count int: The number of the accelerator cards of this type exposed to this instance.
accelerator_type_uri str: Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

acceleratorCount Number: The number of the accelerator cards of this type exposed to this instance.
acceleratorTypeUri String: Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-k80 nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

AutoscalingConfigResponse

PolicyUri string: Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.

PolicyUri string: Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.

policyUri String: Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.

policyUri string: Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.

policy_uri str: Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.

policyUri String: Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.

AuxiliaryNodeGroupResponse

NodeGroup Pulumi.GoogleNative.Dataproc.V1.Inputs.NodeGroupResponse: Node group configuration.
NodeGroupId string: Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.

NodeGroup NodeGroupResponse: Node group configuration.
NodeGroupId string: Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.

nodeGroup NodeGroupResponse: Node group configuration.
nodeGroupId String: Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.

nodeGroup NodeGroupResponse: Node group configuration.
nodeGroupId string: Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.

node_group NodeGroupResponse: Node group configuration.
node_group_id str: Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.

nodeGroup Property Map: Node group configuration.
nodeGroupId String: Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.

AuxiliaryServicesConfigResponse

MetastoreConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.MetastoreConfigResponse: Optional. The Hive Metastore configuration for this workload.
SparkHistoryServerConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.SparkHistoryServerConfigResponse: Optional. The Spark History Server configuration for the workload.

MetastoreConfig MetastoreConfigResponse: Optional. The Hive Metastore configuration for this workload.
SparkHistoryServerConfig SparkHistoryServerConfigResponse: Optional. The Spark History Server configuration for the workload.

metastoreConfig MetastoreConfigResponse: Optional. The Hive Metastore configuration for this workload.
sparkHistoryServerConfig SparkHistoryServerConfigResponse: Optional. The Spark History Server configuration for the workload.

metastoreConfig MetastoreConfigResponse: Optional. The Hive Metastore configuration for this workload.
sparkHistoryServerConfig SparkHistoryServerConfigResponse: Optional. The Spark History Server configuration for the workload.

metastore_config MetastoreConfigResponse: Optional. The Hive Metastore configuration for this workload.
spark_history_server_config SparkHistoryServerConfigResponse: Optional. The Spark History Server configuration for the workload.

metastoreConfig Property Map: Optional. The Hive Metastore configuration for this workload.
sparkHistoryServerConfig Property Map: Optional. The Spark History Server configuration for the workload.

ClusterConfigResponse

AutoscalingConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.AutoscalingConfigResponse: Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
AuxiliaryNodeGroups List<Pulumi.GoogleNative.Dataproc.V1.Inputs.AuxiliaryNodeGroupResponse>: Optional. The node group settings.
ConfigBucket string: 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.
DataprocMetricConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.DataprocMetricConfigResponse: Optional. The config for Dataproc metrics.
EncryptionConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.EncryptionConfigResponse: Optional. Encryption settings for the cluster.
EndpointConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.EndpointConfigResponse: Optional. Port/endpoint configuration for this cluster
GceClusterConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.GceClusterConfigResponse: Optional. The shared Compute Engine config settings for all instances in a cluster.
GkeClusterConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeClusterConfigResponse: Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
InitializationActions List<Pulumi.GoogleNative.Dataproc.V1.Inputs.NodeInitializationActionResponse>: Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
LifecycleConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.LifecycleConfigResponse: Optional. Lifecycle setting for the cluster.
MasterConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigResponse: Optional. The Compute Engine config settings for the cluster's master instance.
MetastoreConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.MetastoreConfigResponse: Optional. Metastore configuration.
SecondaryWorkerConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigResponse: Optional. The Compute Engine config settings for a cluster's secondary worker instances
SecurityConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.SecurityConfigResponse: Optional. Security settings for the cluster.
SoftwareConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.SoftwareConfigResponse: Optional. The config settings for cluster software.
TempBucket string: Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a 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.
WorkerConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigResponse: Optional. The Compute Engine config settings for the cluster's worker instances.

AutoscalingConfig AutoscalingConfigResponse: Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
AuxiliaryNodeGroups []AuxiliaryNodeGroupResponse: Optional. The node group settings.
ConfigBucket string: 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.
DataprocMetricConfig DataprocMetricConfigResponse: Optional. The config for Dataproc metrics.
EncryptionConfig EncryptionConfigResponse: Optional. Encryption settings for the cluster.
EndpointConfig EndpointConfigResponse: Optional. Port/endpoint configuration for this cluster
GceClusterConfig GceClusterConfigResponse: Optional. The shared Compute Engine config settings for all instances in a cluster.
GkeClusterConfig GkeClusterConfigResponse: Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
InitializationActions []NodeInitializationActionResponse: Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
LifecycleConfig LifecycleConfigResponse: Optional. Lifecycle setting for the cluster.
MasterConfig InstanceGroupConfigResponse: Optional. The Compute Engine config settings for the cluster's master instance.
MetastoreConfig MetastoreConfigResponse: Optional. Metastore configuration.
SecondaryWorkerConfig InstanceGroupConfigResponse: Optional. The Compute Engine config settings for a cluster's secondary worker instances
SecurityConfig SecurityConfigResponse: Optional. Security settings for the cluster.
SoftwareConfig SoftwareConfigResponse: Optional. The config settings for cluster software.
TempBucket string: Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a 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.
WorkerConfig InstanceGroupConfigResponse: Optional. The Compute Engine config settings for the cluster's worker instances.

autoscalingConfig AutoscalingConfigResponse: Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
auxiliaryNodeGroups List<AuxiliaryNodeGroupResponse>: Optional. The node group settings.
configBucket String: 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.
dataprocMetricConfig DataprocMetricConfigResponse: Optional. The config for Dataproc metrics.
encryptionConfig EncryptionConfigResponse: Optional. Encryption settings for the cluster.
endpointConfig EndpointConfigResponse: Optional. Port/endpoint configuration for this cluster
gceClusterConfig GceClusterConfigResponse: Optional. The shared Compute Engine config settings for all instances in a cluster.
gkeClusterConfig GkeClusterConfigResponse: Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
initializationActions List<NodeInitializationActionResponse>: Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
lifecycleConfig LifecycleConfigResponse: Optional. Lifecycle setting for the cluster.
masterConfig InstanceGroupConfigResponse: Optional. The Compute Engine config settings for the cluster's master instance.
metastoreConfig MetastoreConfigResponse: Optional. Metastore configuration.
secondaryWorkerConfig InstanceGroupConfigResponse: Optional. The Compute Engine config settings for a cluster's secondary worker instances
securityConfig SecurityConfigResponse: Optional. Security settings for the cluster.
softwareConfig SoftwareConfigResponse: Optional. The config settings for cluster software.
tempBucket String: Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a 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.
workerConfig InstanceGroupConfigResponse: Optional. The Compute Engine config settings for the cluster's worker instances.

autoscalingConfig AutoscalingConfigResponse: Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
auxiliaryNodeGroups AuxiliaryNodeGroupResponse[]: Optional. The node group settings.
configBucket string: 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.
dataprocMetricConfig DataprocMetricConfigResponse: Optional. The config for Dataproc metrics.
encryptionConfig EncryptionConfigResponse: Optional. Encryption settings for the cluster.
endpointConfig EndpointConfigResponse: Optional. Port/endpoint configuration for this cluster
gceClusterConfig GceClusterConfigResponse: Optional. The shared Compute Engine config settings for all instances in a cluster.
gkeClusterConfig GkeClusterConfigResponse: Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
initializationActions NodeInitializationActionResponse[]: Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
lifecycleConfig LifecycleConfigResponse: Optional. Lifecycle setting for the cluster.
masterConfig InstanceGroupConfigResponse: Optional. The Compute Engine config settings for the cluster's master instance.
metastoreConfig MetastoreConfigResponse: Optional. Metastore configuration.
secondaryWorkerConfig InstanceGroupConfigResponse: Optional. The Compute Engine config settings for a cluster's secondary worker instances
securityConfig SecurityConfigResponse: Optional. Security settings for the cluster.
softwareConfig SoftwareConfigResponse: Optional. The config settings for cluster software.
tempBucket string: Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a 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.
workerConfig InstanceGroupConfigResponse: Optional. The Compute Engine config settings for the cluster's worker instances.

autoscaling_config AutoscalingConfigResponse: Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
auxiliary_node_groups Sequence[AuxiliaryNodeGroupResponse]: Optional. The node group settings.
config_bucket str: 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.
dataproc_metric_config DataprocMetricConfigResponse: Optional. The config for Dataproc metrics.
encryption_config EncryptionConfigResponse: Optional. Encryption settings for the cluster.
endpoint_config EndpointConfigResponse: Optional. Port/endpoint configuration for this cluster
gce_cluster_config GceClusterConfigResponse: Optional. The shared Compute Engine config settings for all instances in a cluster.
gke_cluster_config GkeClusterConfigResponse: Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
initialization_actions Sequence[NodeInitializationActionResponse]: Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
lifecycle_config LifecycleConfigResponse: Optional. Lifecycle setting for the cluster.
master_config InstanceGroupConfigResponse: Optional. The Compute Engine config settings for the cluster's master instance.
metastore_config MetastoreConfigResponse: Optional. Metastore configuration.
secondary_worker_config InstanceGroupConfigResponse: Optional. The Compute Engine config settings for a cluster's secondary worker instances
security_config SecurityConfigResponse: Optional. Security settings for the cluster.
software_config SoftwareConfigResponse: Optional. The config settings for cluster software.
temp_bucket str: Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a 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.
worker_config InstanceGroupConfigResponse: Optional. The Compute Engine config settings for the cluster's worker instances.

autoscalingConfig Property Map: Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
auxiliaryNodeGroups List<Property Map>: Optional. The node group settings.
configBucket String: 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.
dataprocMetricConfig Property Map: Optional. The config for Dataproc metrics.
encryptionConfig Property Map: Optional. Encryption settings for the cluster.
endpointConfig Property Map: Optional. Port/endpoint configuration for this cluster
gceClusterConfig Property Map: Optional. The shared Compute Engine config settings for all instances in a cluster.
gkeClusterConfig Property Map: Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
initializationActions List<Property Map>: Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
lifecycleConfig Property Map: Optional. Lifecycle setting for the cluster.
masterConfig Property Map: Optional. The Compute Engine config settings for the cluster's master instance.
metastoreConfig Property Map: Optional. Metastore configuration.
secondaryWorkerConfig Property Map: Optional. The Compute Engine config settings for a cluster's secondary worker instances
securityConfig Property Map: Optional. Security settings for the cluster.
softwareConfig Property Map: Optional. The config settings for cluster software.
tempBucket String: Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a 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.
workerConfig Property Map: Optional. The Compute Engine config settings for the cluster's worker instances.

ClusterMetricsResponse

HdfsMetrics Dictionary<string, string>: The HDFS metrics.
YarnMetrics Dictionary<string, string>: YARN metrics.

HdfsMetrics map[string]string: The HDFS metrics.
YarnMetrics map[string]string: YARN metrics.

hdfsMetrics Map<String,String>: The HDFS metrics.
yarnMetrics Map<String,String>: YARN metrics.

hdfsMetrics {[key: string]: string}: The HDFS metrics.
yarnMetrics {[key: string]: string}: YARN metrics.

hdfs_metrics Mapping[str, str]: The HDFS metrics.
yarn_metrics Mapping[str, str]: YARN metrics.

hdfsMetrics Map<String>: The HDFS metrics.
yarnMetrics Map<String>: YARN metrics.

ClusterStatusResponse

Detail string: Optional. Output only. Details of cluster's state.
State string: The cluster's state.
StateStartTime string: Time when this state was entered (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
Substate string: Additional state information that includes status reported by the agent.

Detail string: Optional. Output only. Details of cluster's state.
State string: The cluster's state.
StateStartTime string: Time when this state was entered (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
Substate string: Additional state information that includes status reported by the agent.

detail String: Optional. Output only. Details of cluster's state.
state String: The cluster's state.
stateStartTime String: Time when this state was entered (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
substate String: Additional state information that includes status reported by the agent.

detail string: Optional. Output only. Details of cluster's state.
state string: The cluster's state.
stateStartTime string: Time when this state was entered (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
substate string: Additional state information that includes status reported by the agent.

detail str: Optional. Output only. Details of cluster's state.
state str: The cluster's state.
state_start_time str: Time when this state was entered (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
substate str: Additional state information that includes status reported by the agent.

detail String: Optional. Output only. Details of cluster's state.
state String: The cluster's state.
stateStartTime String: Time when this state was entered (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
substate String: Additional state information that includes status reported by the agent.

ConfidentialInstanceConfigResponse

EnableConfidentialCompute bool: Optional. Defines whether the instance should have confidential compute enabled.

EnableConfidentialCompute bool: Optional. Defines whether the instance should have confidential compute enabled.

enableConfidentialCompute Boolean: Optional. Defines whether the instance should have confidential compute enabled.

enableConfidentialCompute boolean: Optional. Defines whether the instance should have confidential compute enabled.

enable_confidential_compute bool: Optional. Defines whether the instance should have confidential compute enabled.

enableConfidentialCompute Boolean: Optional. Defines whether the instance should have confidential compute enabled.

DataprocMetricConfigResponse

Metrics List<Pulumi.GoogleNative.Dataproc.V1.Inputs.MetricResponse>: Metrics sources to enable.

Metrics []MetricResponse: Metrics sources to enable.

metrics List<MetricResponse>: Metrics sources to enable.

metrics MetricResponse[]: Metrics sources to enable.

metrics Sequence[MetricResponse]: Metrics sources to enable.

metrics List<Property Map>: Metrics sources to enable.

DiskConfigResponse

BootDiskSizeGb int: Optional. Size in GB of the boot disk (default is 500GB).
BootDiskType string: Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).
LocalSsdInterface string: Optional. Interface type of local SSDs (default is "scsi"). Valid values: "scsi" (Small Computer System Interface), "nvme" (Non-Volatile Memory Express). See local SSD performance (https://cloud.google.com/compute/docs/disks/local-ssd#performance).
NumLocalSsds int: Optional. Number of attached SSDs, from 0 to 8 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.Note: Local SSD options may vary by machine type and number of vCPUs selected.

BootDiskSizeGb int: Optional. Size in GB of the boot disk (default is 500GB).
BootDiskType string: Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).
LocalSsdInterface string: Optional. Interface type of local SSDs (default is "scsi"). Valid values: "scsi" (Small Computer System Interface), "nvme" (Non-Volatile Memory Express). See local SSD performance (https://cloud.google.com/compute/docs/disks/local-ssd#performance).
NumLocalSsds int: Optional. Number of attached SSDs, from 0 to 8 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.Note: Local SSD options may vary by machine type and number of vCPUs selected.

bootDiskSizeGb Integer: Optional. Size in GB of the boot disk (default is 500GB).
bootDiskType String: Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).
localSsdInterface String: Optional. Interface type of local SSDs (default is "scsi"). Valid values: "scsi" (Small Computer System Interface), "nvme" (Non-Volatile Memory Express). See local SSD performance (https://cloud.google.com/compute/docs/disks/local-ssd#performance).
numLocalSsds Integer: Optional. Number of attached SSDs, from 0 to 8 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.Note: Local SSD options may vary by machine type and number of vCPUs selected.

bootDiskSizeGb number: Optional. Size in GB of the boot disk (default is 500GB).
bootDiskType string: Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).
localSsdInterface string: Optional. Interface type of local SSDs (default is "scsi"). Valid values: "scsi" (Small Computer System Interface), "nvme" (Non-Volatile Memory Express). See local SSD performance (https://cloud.google.com/compute/docs/disks/local-ssd#performance).
numLocalSsds number: Optional. Number of attached SSDs, from 0 to 8 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.Note: Local SSD options may vary by machine type and number of vCPUs selected.

boot_disk_size_gb int: Optional. Size in GB of the boot disk (default is 500GB).
boot_disk_type str: Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).
local_ssd_interface str: Optional. Interface type of local SSDs (default is "scsi"). Valid values: "scsi" (Small Computer System Interface), "nvme" (Non-Volatile Memory Express). See local SSD performance (https://cloud.google.com/compute/docs/disks/local-ssd#performance).
num_local_ssds int: Optional. Number of attached SSDs, from 0 to 8 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.Note: Local SSD options may vary by machine type and number of vCPUs selected.

bootDiskSizeGb Number: Optional. Size in GB of the boot disk (default is 500GB).
bootDiskType String: Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).
localSsdInterface String: Optional. Interface type of local SSDs (default is "scsi"). Valid values: "scsi" (Small Computer System Interface), "nvme" (Non-Volatile Memory Express). See local SSD performance (https://cloud.google.com/compute/docs/disks/local-ssd#performance).
numLocalSsds Number: Optional. Number of attached SSDs, from 0 to 8 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.Note: Local SSD options may vary by machine type and number of vCPUs selected.

EncryptionConfigResponse

GcePdKmsKeyName string: Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
KmsKey string: Optional. The Cloud KMS key name to use for encrypting customer core content and cluster PD disk for all instances in the cluster.

GcePdKmsKeyName string: Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
KmsKey string: Optional. The Cloud KMS key name to use for encrypting customer core content and cluster PD disk for all instances in the cluster.

gcePdKmsKeyName String: Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
kmsKey String: Optional. The Cloud KMS key name to use for encrypting customer core content and cluster PD disk for all instances in the cluster.

gcePdKmsKeyName string: Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
kmsKey string: Optional. The Cloud KMS key name to use for encrypting customer core content and cluster PD disk for all instances in the cluster.

gce_pd_kms_key_name str: Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
kms_key str: Optional. The Cloud KMS key name to use for encrypting customer core content and cluster PD disk for all instances in the cluster.

gcePdKmsKeyName String: Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
kmsKey String: Optional. The Cloud KMS key name to use for encrypting customer core content and cluster PD disk for all instances in the cluster.

EndpointConfigResponse

EnableHttpPortAccess bool: Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
HttpPorts Dictionary<string, string>: The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

EnableHttpPortAccess bool: Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
HttpPorts map[string]string: The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

enableHttpPortAccess Boolean: Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
httpPorts Map<String,String>: The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

enableHttpPortAccess boolean: Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
httpPorts {[key: string]: string}: The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

enable_http_port_access bool: Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
http_ports Mapping[str, str]: The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

enableHttpPortAccess Boolean: Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
httpPorts Map<String>: The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

GceClusterConfigResponse

ConfidentialInstanceConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.ConfidentialInstanceConfigResponse: Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
InternalIpOnly bool: Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
Metadata Dictionary<string, string>: The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
NetworkUri string: Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
NodeGroupAffinity Pulumi.GoogleNative.Dataproc.V1.Inputs.NodeGroupAffinityResponse: Optional. Node Group Affinity for sole-tenant clusters.
PrivateIpv6GoogleAccess string: Optional. The type of IPv6 access for a cluster.
ReservationAffinity Pulumi.GoogleNative.Dataproc.V1.Inputs.ReservationAffinityResponse: Optional. Reservation Affinity for consuming Zonal reservation.
ServiceAccount string: Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
ServiceAccountScopes List<string>: Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
ShieldedInstanceConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.ShieldedInstanceConfigResponse: Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
SubnetworkUri string: Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
Tags List<string>: The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
ZoneUri string: Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]

ConfidentialInstanceConfig ConfidentialInstanceConfigResponse: Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
InternalIpOnly bool: Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
Metadata map[string]string: The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
NetworkUri string: Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
NodeGroupAffinity NodeGroupAffinityResponse: Optional. Node Group Affinity for sole-tenant clusters.
PrivateIpv6GoogleAccess string: Optional. The type of IPv6 access for a cluster.
ReservationAffinity ReservationAffinityResponse: Optional. Reservation Affinity for consuming Zonal reservation.
ServiceAccount string: Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
ServiceAccountScopes []string: Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
ShieldedInstanceConfig ShieldedInstanceConfigResponse: Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
SubnetworkUri string: Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
Tags []string: The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
ZoneUri string: Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]

confidentialInstanceConfig ConfidentialInstanceConfigResponse: Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
internalIpOnly Boolean: Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
metadata Map<String,String>: The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
networkUri String: Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
nodeGroupAffinity NodeGroupAffinityResponse: Optional. Node Group Affinity for sole-tenant clusters.
privateIpv6GoogleAccess String: Optional. The type of IPv6 access for a cluster.
reservationAffinity ReservationAffinityResponse: Optional. Reservation Affinity for consuming Zonal reservation.
serviceAccount String: Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
serviceAccountScopes List<String>: Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
shieldedInstanceConfig ShieldedInstanceConfigResponse: Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
subnetworkUri String: Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
tags List<String>: The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
zoneUri String: Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]

confidentialInstanceConfig ConfidentialInstanceConfigResponse: Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
internalIpOnly boolean: Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
metadata {[key: string]: string}: The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
networkUri string: Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
nodeGroupAffinity NodeGroupAffinityResponse: Optional. Node Group Affinity for sole-tenant clusters.
privateIpv6GoogleAccess string: Optional. The type of IPv6 access for a cluster.
reservationAffinity ReservationAffinityResponse: Optional. Reservation Affinity for consuming Zonal reservation.
serviceAccount string: Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
serviceAccountScopes string[]: Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
shieldedInstanceConfig ShieldedInstanceConfigResponse: Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
subnetworkUri string: Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
tags string[]: The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
zoneUri string: Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]

confidential_instance_config ConfidentialInstanceConfigResponse: Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
internal_ip_only bool: Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
metadata Mapping[str, str]: The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
network_uri str: Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
node_group_affinity NodeGroupAffinityResponse: Optional. Node Group Affinity for sole-tenant clusters.
private_ipv6_google_access str: Optional. The type of IPv6 access for a cluster.
reservation_affinity ReservationAffinityResponse: Optional. Reservation Affinity for consuming Zonal reservation.
service_account str: Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
service_account_scopes Sequence[str]: Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
shielded_instance_config ShieldedInstanceConfigResponse: Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
subnetwork_uri str: Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
tags Sequence[str]: The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
zone_uri str: Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]

confidentialInstanceConfig Property Map: Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
internalIpOnly Boolean: Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
metadata Map<String>: The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
networkUri String: Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
nodeGroupAffinity Property Map: Optional. Node Group Affinity for sole-tenant clusters.
privateIpv6GoogleAccess String: Optional. The type of IPv6 access for a cluster.
reservationAffinity Property Map: Optional. Reservation Affinity for consuming Zonal reservation.
serviceAccount String: Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
serviceAccountScopes List<String>: Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
shieldedInstanceConfig Property Map: Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
subnetworkUri String: Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
tags List<String>: The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
zoneUri String: Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]

GkeClusterConfigResponse

GkeClusterTarget string

Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

NamespacedGkeDeploymentTarget Pulumi.GoogleNative.Dataproc.V1.Inputs.NamespacedGkeDeploymentTargetResponse