Google Cloud Native v0.32.0, Nov 29 23

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

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 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 v0.32.0 published on Wednesday, Nov 29, 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 in spanner 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 in spanner 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 in spanner 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 in spanner 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 in spanner 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 in spanner 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>: Optional. 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: Optional. 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>: Optional. 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}: Optional. 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]: Optional. 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>: Optional. 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: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
Deprecated: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
NodePoolTarget List<Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeNodePoolTargetResponse>: Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.

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 NamespacedGkeDeploymentTargetResponse: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
Deprecated: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
NodePoolTarget []GkeNodePoolTargetResponse: Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.

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 NamespacedGkeDeploymentTargetResponse: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
Deprecated: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
nodePoolTarget List<GkeNodePoolTargetResponse>: Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.

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 NamespacedGkeDeploymentTargetResponse: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
Deprecated: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
nodePoolTarget GkeNodePoolTargetResponse[]: Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.

gke_cluster_target str: 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}'
namespaced_gke_deployment_target NamespacedGkeDeploymentTargetResponse: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
Deprecated: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
node_pool_target Sequence[GkeNodePoolTargetResponse]: Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.

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 Property Map: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
Deprecated: Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
nodePoolTarget List<Property Map>: Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.

GkeNodeConfigResponse

Accelerators List<Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeNodePoolAcceleratorConfigResponse>: Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
BootDiskKmsKey string: Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
LocalSsdCount int: Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
MachineType string: Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
MinCpuPlatform string: Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
Preemptible bool: Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
Spot bool: Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).

Accelerators []GkeNodePoolAcceleratorConfigResponse: Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
BootDiskKmsKey string: Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
LocalSsdCount int: Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
MachineType string: Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
MinCpuPlatform string: Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
Preemptible bool: Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
Spot bool: Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).

accelerators List<GkeNodePoolAcceleratorConfigResponse>: Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
bootDiskKmsKey String: Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
localSsdCount Integer: Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
machineType String: Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
minCpuPlatform String: Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
preemptible Boolean: Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
spot Boolean: Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).

accelerators GkeNodePoolAcceleratorConfigResponse[]: Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
bootDiskKmsKey string: Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
localSsdCount number: Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
machineType string: Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
minCpuPlatform string: Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
preemptible boolean: Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
spot boolean: Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).

accelerators Sequence[GkeNodePoolAcceleratorConfigResponse]: Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
boot_disk_kms_key str: Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
local_ssd_count int: Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
machine_type str: Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
min_cpu_platform str: Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
preemptible bool: Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
spot bool: Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).

accelerators List<Property Map>: Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
bootDiskKmsKey String: Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
localSsdCount Number: Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
machineType String: Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
minCpuPlatform String: Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
preemptible Boolean: Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
spot Boolean: Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).

GkeNodePoolAcceleratorConfigResponse

AcceleratorCount string: The number of accelerator cards exposed to an instance.
AcceleratorType string: The accelerator type resource namename (see GPUs on Compute Engine).
GpuPartitionSize string: Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).

AcceleratorCount string: The number of accelerator cards exposed to an instance.
AcceleratorType string: The accelerator type resource namename (see GPUs on Compute Engine).
GpuPartitionSize string: Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).

acceleratorCount String: The number of accelerator cards exposed to an instance.
acceleratorType String: The accelerator type resource namename (see GPUs on Compute Engine).
gpuPartitionSize String: Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).

acceleratorCount string: The number of accelerator cards exposed to an instance.
acceleratorType string: The accelerator type resource namename (see GPUs on Compute Engine).
gpuPartitionSize string: Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).

accelerator_count str: The number of accelerator cards exposed to an instance.
accelerator_type str: The accelerator type resource namename (see GPUs on Compute Engine).
gpu_partition_size str: Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).

acceleratorCount String: The number of accelerator cards exposed to an instance.
acceleratorType String: The accelerator type resource namename (see GPUs on Compute Engine).
gpuPartitionSize String: Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).

GkeNodePoolAutoscalingConfigResponse

MaxNodeCount int: The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
MinNodeCount int: The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.

MaxNodeCount int: The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
MinNodeCount int: The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.

maxNodeCount Integer: The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
minNodeCount Integer: The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.

maxNodeCount number: The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
minNodeCount number: The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.

max_node_count int: The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
min_node_count int: The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.

maxNodeCount Number: The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
minNodeCount Number: The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.

GkeNodePoolConfigResponse

Autoscaling Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeNodePoolAutoscalingConfigResponse: Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
Config Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeNodeConfigResponse: Optional. The node pool configuration.
Locations List<string>: Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.

Autoscaling GkeNodePoolAutoscalingConfigResponse: Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
Config GkeNodeConfigResponse: Optional. The node pool configuration.
Locations []string: Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.

autoscaling GkeNodePoolAutoscalingConfigResponse: Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
config GkeNodeConfigResponse: Optional. The node pool configuration.
locations List<String>: Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.

autoscaling GkeNodePoolAutoscalingConfigResponse: Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
config GkeNodeConfigResponse: Optional. The node pool configuration.
locations string[]: Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.

autoscaling GkeNodePoolAutoscalingConfigResponse: Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
config GkeNodeConfigResponse: Optional. The node pool configuration.
locations Sequence[str]: Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.

autoscaling Property Map: Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
config Property Map: Optional. The node pool configuration.
locations List<String>: Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.

GkeNodePoolTargetResponse

NodePool string: The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
NodePoolConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeNodePoolConfigResponse: Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
Roles List<string>: The roles associated with the GKE node pool.

NodePool string: The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
NodePoolConfig GkeNodePoolConfigResponse: Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
Roles []string: The roles associated with the GKE node pool.

nodePool String: The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
nodePoolConfig GkeNodePoolConfigResponse: Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
roles List<String>: The roles associated with the GKE node pool.

nodePool string: The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
nodePoolConfig GkeNodePoolConfigResponse: Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
roles string[]: The roles associated with the GKE node pool.

node_pool str: The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
node_pool_config GkeNodePoolConfigResponse: Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
roles Sequence[str]: The roles associated with the GKE node pool.

nodePool String: The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
nodePoolConfig Property Map: Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
roles List<String>: The roles associated with the GKE node pool.

IdentityConfigResponse

UserServiceAccountMapping Dictionary<string, string>: Map of user to service account.

UserServiceAccountMapping map[string]string: Map of user to service account.

userServiceAccountMapping Map<String,String>: Map of user to service account.

userServiceAccountMapping {[key: string]: string}: Map of user to service account.

user_service_account_mapping Mapping[str, str]: Map of user to service account.

userServiceAccountMapping Map<String>: Map of user to service account.

InstanceFlexibilityPolicyResponse

InstanceSelectionList List<Pulumi.GoogleNative.Dataproc.V1.Inputs.InstanceSelectionResponse>: Optional. List of instance selection options that the group will use when creating new VMs.
InstanceSelectionResults List<Pulumi.GoogleNative.Dataproc.V1.Inputs.InstanceSelectionResultResponse>: A list of instance selection results in the group.

InstanceSelectionList []InstanceSelectionResponse: Optional. List of instance selection options that the group will use when creating new VMs.
InstanceSelectionResults []InstanceSelectionResultResponse: A list of instance selection results in the group.

instanceSelectionList List<InstanceSelectionResponse>: Optional. List of instance selection options that the group will use when creating new VMs.
instanceSelectionResults List<InstanceSelectionResultResponse>: A list of instance selection results in the group.

instanceSelectionList InstanceSelectionResponse[]: Optional. List of instance selection options that the group will use when creating new VMs.
instanceSelectionResults InstanceSelectionResultResponse[]: A list of instance selection results in the group.

instance_selection_list Sequence[InstanceSelectionResponse]: Optional. List of instance selection options that the group will use when creating new VMs.
instance_selection_results Sequence[InstanceSelectionResultResponse]: A list of instance selection results in the group.

instanceSelectionList List<Property Map>: Optional. List of instance selection options that the group will use when creating new VMs.
instanceSelectionResults List<Property Map>: A list of instance selection results in the group.

InstanceGroupConfigResponse

Accelerators List<Pulumi.GoogleNative.Dataproc.V1.Inputs.AcceleratorConfigResponse>: Optional. The Compute Engine accelerator configuration for these instances.
DiskConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.DiskConfigResponse: Optional. Disk option config settings.
ImageUri string: Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/[image-id] projects/[project_id]/global/images/[image-id] image-idImage family examples. Dataproc will use the most recent image from the family: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/family/[custom-image-family-name] projects/[project_id]/global/images/family/[custom-image-family-name]If the URI is unspecified, it will be inferred from SoftwareConfig.image_version or the system default.
InstanceFlexibilityPolicy Pulumi.GoogleNative.Dataproc.V1.Inputs.InstanceFlexibilityPolicyResponse: Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
InstanceNames List<string>: The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
InstanceReferences List<Pulumi.GoogleNative.Dataproc.V1.Inputs.InstanceReferenceResponse>: List of references to Compute Engine instances.
IsPreemptible bool: Specifies that this instance group contains preemptible instances.
MachineTypeUri string: Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 n1-standard-2Auto 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 machine type resource, for example, n1-standard-2.
ManagedGroupConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.ManagedGroupConfigResponse: The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
MinCpuPlatform string: Optional. Specifies the minimum cpu platform for the Instance Group. See Dataproc -> Minimum CPU Platform (https://cloud.google.com/dataproc/docs/concepts/compute/dataproc-min-cpu).
MinNumInstances int: Optional. The minimum number of primary worker instances to create. If min_num_instances is set, cluster creation will succeed if the number of primary workers created is at least equal to the min_num_instances number.Example: Cluster creation request with num_instances = 5 and min_num_instances = 3: If 4 VMs are created and 1 instance fails, the failed VM is deleted. The cluster is resized to 4 instances and placed in a RUNNING state. If 2 instances are created and 3 instances fail, the cluster in placed in an ERROR state. The failed VMs are not deleted.
NumInstances int: Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.
Preemptibility string: Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.
StartupConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.StartupConfigResponse: Optional. Configuration to handle the startup of instances during cluster create and update process.

Accelerators []AcceleratorConfigResponse: Optional. The Compute Engine accelerator configuration for these instances.
DiskConfig DiskConfigResponse: Optional. Disk option config settings.
ImageUri string: Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/[image-id] projects/[project_id]/global/images/[image-id] image-idImage family examples. Dataproc will use the most recent image from the family: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/family/[custom-image-family-name] projects/[project_id]/global/images/family/[custom-image-family-name]If the URI is unspecified, it will be inferred from SoftwareConfig.image_version or the system default.
InstanceFlexibilityPolicy InstanceFlexibilityPolicyResponse: Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
InstanceNames []string: The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
InstanceReferences []InstanceReferenceResponse: List of references to Compute Engine instances.
IsPreemptible bool: Specifies that this instance group contains preemptible instances.
MachineTypeUri string: Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 n1-standard-2Auto 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 machine type resource, for example, n1-standard-2.
ManagedGroupConfig ManagedGroupConfigResponse: The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
MinCpuPlatform string: Optional. Specifies the minimum cpu platform for the Instance Group. See Dataproc -> Minimum CPU Platform (https://cloud.google.com/dataproc/docs/concepts/compute/dataproc-min-cpu).
MinNumInstances int: Optional. The minimum number of primary worker instances to create. If min_num_instances is set, cluster creation will succeed if the number of primary workers created is at least equal to the min_num_instances number.Example: Cluster creation request with num_instances = 5 and min_num_instances = 3: If 4 VMs are created and 1 instance fails, the failed VM is deleted. The cluster is resized to 4 instances and placed in a RUNNING state. If 2 instances are created and 3 instances fail, the cluster in placed in an ERROR state. The failed VMs are not deleted.
NumInstances int: Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.
Preemptibility string: Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.
StartupConfig StartupConfigResponse: Optional. Configuration to handle the startup of instances during cluster create and update process.

accelerators List<AcceleratorConfigResponse>: Optional. The Compute Engine accelerator configuration for these instances.
diskConfig DiskConfigResponse: Optional. Disk option config settings.
imageUri String: Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/[image-id] projects/[project_id]/global/images/[image-id] image-idImage family examples. Dataproc will use the most recent image from the family: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/family/[custom-image-family-name] projects/[project_id]/global/images/family/[custom-image-family-name]If the URI is unspecified, it will be inferred from SoftwareConfig.image_version or the system default.
instanceFlexibilityPolicy InstanceFlexibilityPolicyResponse: Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
instanceNames List<String>: The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
instanceReferences List<InstanceReferenceResponse>: List of references to Compute Engine instances.
isPreemptible Boolean: Specifies that this instance group contains preemptible instances.
machineTypeUri String: Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 n1-standard-2Auto 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 machine type resource, for example, n1-standard-2.
managedGroupConfig ManagedGroupConfigResponse: The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
minCpuPlatform String: Optional. Specifies the minimum cpu platform for the Instance Group. See Dataproc -> Minimum CPU Platform (https://cloud.google.com/dataproc/docs/concepts/compute/dataproc-min-cpu).
minNumInstances Integer: Optional. The minimum number of primary worker instances to create. If min_num_instances is set, cluster creation will succeed if the number of primary workers created is at least equal to the min_num_instances number.Example: Cluster creation request with num_instances = 5 and min_num_instances = 3: If 4 VMs are created and 1 instance fails, the failed VM is deleted. The cluster is resized to 4 instances and placed in a RUNNING state. If 2 instances are created and 3 instances fail, the cluster in placed in an ERROR state. The failed VMs are not deleted.
numInstances Integer: Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.
preemptibility String: Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.
startupConfig StartupConfigResponse: Optional. Configuration to handle the startup of instances during cluster create and update process.

accelerators AcceleratorConfigResponse[]: Optional. The Compute Engine accelerator configuration for these instances.
diskConfig DiskConfigResponse: Optional. Disk option config settings.
imageUri string: Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/[image-id] projects/[project_id]/global/images/[image-id] image-idImage family examples. Dataproc will use the most recent image from the family: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/family/[custom-image-family-name] projects/[project_id]/global/images/family/[custom-image-family-name]If the URI is unspecified, it will be inferred from SoftwareConfig.image_version or the system default.
instanceFlexibilityPolicy InstanceFlexibilityPolicyResponse: Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
instanceNames string[]: The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
instanceReferences InstanceReferenceResponse[]: List of references to Compute Engine instances.
isPreemptible boolean: Specifies that this instance group contains preemptible instances.
machineTypeUri string: Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 n1-standard-2Auto 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 machine type resource, for example, n1-standard-2.
managedGroupConfig ManagedGroupConfigResponse: The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
minCpuPlatform string: Optional. Specifies the minimum cpu platform for the Instance Group. See Dataproc -> Minimum CPU Platform (https://cloud.google.com/dataproc/docs/concepts/compute/dataproc-min-cpu).
minNumInstances number: Optional. The minimum number of primary worker instances to create. If min_num_instances is set, cluster creation will succeed if the number of primary workers created is at least equal to the min_num_instances number.Example: Cluster creation request with num_instances = 5 and min_num_instances = 3: If 4 VMs are created and 1 instance fails, the failed VM is deleted. The cluster is resized to 4 instances and placed in a RUNNING state. If 2 instances are created and 3 instances fail, the cluster in placed in an ERROR state. The failed VMs are not deleted.
numInstances number: Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.
preemptibility string: Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.
startupConfig StartupConfigResponse: Optional. Configuration to handle the startup of instances during cluster create and update process.

accelerators Sequence[AcceleratorConfigResponse]: Optional. The Compute Engine accelerator configuration for these instances.
disk_config DiskConfigResponse: Optional. Disk option config settings.
image_uri str: Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/[image-id] projects/[project_id]/global/images/[image-id] image-idImage family examples. Dataproc will use the most recent image from the family: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/family/[custom-image-family-name] projects/[project_id]/global/images/family/[custom-image-family-name]If the URI is unspecified, it will be inferred from SoftwareConfig.image_version or the system default.
instance_flexibility_policy InstanceFlexibilityPolicyResponse: Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
instance_names Sequence[str]: The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
instance_references Sequence[InstanceReferenceResponse]: List of references to Compute Engine instances.
is_preemptible bool: Specifies that this instance group contains preemptible instances.
machine_type_uri str: Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 n1-standard-2Auto 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 machine type resource, for example, n1-standard-2.
managed_group_config ManagedGroupConfigResponse: The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
min_cpu_platform str: Optional. Specifies the minimum cpu platform for the Instance Group. See Dataproc -> Minimum CPU Platform (https://cloud.google.com/dataproc/docs/concepts/compute/dataproc-min-cpu).
min_num_instances int: Optional. The minimum number of primary worker instances to create. If min_num_instances is set, cluster creation will succeed if the number of primary workers created is at least equal to the min_num_instances number.Example: Cluster creation request with num_instances = 5 and min_num_instances = 3: If 4 VMs are created and 1 instance fails, the failed VM is deleted. The cluster is resized to 4 instances and placed in a RUNNING state. If 2 instances are created and 3 instances fail, the cluster in placed in an ERROR state. The failed VMs are not deleted.
num_instances int: Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.
preemptibility str: Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.
startup_config StartupConfigResponse: Optional. Configuration to handle the startup of instances during cluster create and update process.

accelerators List<Property Map>: Optional. The Compute Engine accelerator configuration for these instances.
diskConfig Property Map: Optional. Disk option config settings.
imageUri String: Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/[image-id] projects/[project_id]/global/images/[image-id] image-idImage family examples. Dataproc will use the most recent image from the family: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/family/[custom-image-family-name] projects/[project_id]/global/images/family/[custom-image-family-name]If the URI is unspecified, it will be inferred from SoftwareConfig.image_version or the system default.
instanceFlexibilityPolicy Property Map: Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
instanceNames List<String>: The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
instanceReferences List<Property Map>: List of references to Compute Engine instances.
isPreemptible Boolean: Specifies that this instance group contains preemptible instances.
machineTypeUri String: Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 n1-standard-2Auto 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 machine type resource, for example, n1-standard-2.
managedGroupConfig Property Map: The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
minCpuPlatform String: Optional. Specifies the minimum cpu platform for the Instance Group. See Dataproc -> Minimum CPU Platform (https://cloud.google.com/dataproc/docs/concepts/compute/dataproc-min-cpu).
minNumInstances Number: Optional. The minimum number of primary worker instances to create. If min_num_instances is set, cluster creation will succeed if the number of primary workers created is at least equal to the min_num_instances number.Example: Cluster creation request with num_instances = 5 and min_num_instances = 3: If 4 VMs are created and 1 instance fails, the failed VM is deleted. The cluster is resized to 4 instances and placed in a RUNNING state. If 2 instances are created and 3 instances fail, the cluster in placed in an ERROR state. The failed VMs are not deleted.
numInstances Number: Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.
preemptibility String: Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.
startupConfig Property Map: Optional. Configuration to handle the startup of instances during cluster create and update process.

InstanceReferenceResponse

InstanceId string: The unique identifier of the Compute Engine instance.
InstanceName string: The user-friendly name of the Compute Engine instance.
PublicEciesKey string: The public ECIES key used for sharing data with this instance.
PublicKey string: The public RSA key used for sharing data with this instance.

InstanceId string: The unique identifier of the Compute Engine instance.
InstanceName string: The user-friendly name of the Compute Engine instance.
PublicEciesKey string: The public ECIES key used for sharing data with this instance.
PublicKey string: The public RSA key used for sharing data with this instance.

instanceId String: The unique identifier of the Compute Engine instance.
instanceName String: The user-friendly name of the Compute Engine instance.
publicEciesKey String: The public ECIES key used for sharing data with this instance.
publicKey String: The public RSA key used for sharing data with this instance.

instanceId string: The unique identifier of the Compute Engine instance.
instanceName string: The user-friendly name of the Compute Engine instance.
publicEciesKey string: The public ECIES key used for sharing data with this instance.
publicKey string: The public RSA key used for sharing data with this instance.

instance_id str: The unique identifier of the Compute Engine instance.
instance_name str: The user-friendly name of the Compute Engine instance.
public_ecies_key str: The public ECIES key used for sharing data with this instance.
public_key str: The public RSA key used for sharing data with this instance.

instanceId String: The unique identifier of the Compute Engine instance.
instanceName String: The user-friendly name of the Compute Engine instance.
publicEciesKey String: The public ECIES key used for sharing data with this instance.
publicKey String: The public RSA key used for sharing data with this instance.

InstanceSelectionResponse

MachineTypes List<string>: Optional. Full machine-type names, e.g. "n1-standard-16".
Rank int: Optional. Preference of this instance selection. Lower number means higher preference. Dataproc will first try to create a VM based on the machine-type with priority rank and fallback to next rank based on availability. Machine types and instance selections with the same priority have the same preference.

MachineTypes []string: Optional. Full machine-type names, e.g. "n1-standard-16".
Rank int: Optional. Preference of this instance selection. Lower number means higher preference. Dataproc will first try to create a VM based on the machine-type with priority rank and fallback to next rank based on availability. Machine types and instance selections with the same priority have the same preference.

machineTypes List<String>: Optional. Full machine-type names, e.g. "n1-standard-16".
rank Integer: Optional. Preference of this instance selection. Lower number means higher preference. Dataproc will first try to create a VM based on the machine-type with priority rank and fallback to next rank based on availability. Machine types and instance selections with the same priority have the same preference.

machineTypes string[]: Optional. Full machine-type names, e.g. "n1-standard-16".
rank number: Optional. Preference of this instance selection. Lower number means higher preference. Dataproc will first try to create a VM based on the machine-type with priority rank and fallback to next rank based on availability. Machine types and instance selections with the same priority have the same preference.

machine_types Sequence[str]: Optional. Full machine-type names, e.g. "n1-standard-16".
rank int: Optional. Preference of this instance selection. Lower number means higher preference. Dataproc will first try to create a VM based on the machine-type with priority rank and fallback to next rank based on availability. Machine types and instance selections with the same priority have the same preference.

machineTypes List<String>: Optional. Full machine-type names, e.g. "n1-standard-16".
rank Number: Optional. Preference of this instance selection. Lower number means higher preference. Dataproc will first try to create a VM based on the machine-type with priority rank and fallback to next rank based on availability. Machine types and instance selections with the same priority have the same preference.

InstanceSelectionResultResponse

MachineType string: Full machine-type names, e.g. "n1-standard-16".
VmCount int: Number of VM provisioned with the machine_type.

MachineType string: Full machine-type names, e.g. "n1-standard-16".
VmCount int: Number of VM provisioned with the machine_type.

machineType String: Full machine-type names, e.g. "n1-standard-16".
vmCount Integer: Number of VM provisioned with the machine_type.

machineType string: Full machine-type names, e.g. "n1-standard-16".
vmCount number: Number of VM provisioned with the machine_type.

machine_type str: Full machine-type names, e.g. "n1-standard-16".
vm_count int: Number of VM provisioned with the machine_type.

machineType String: Full machine-type names, e.g. "n1-standard-16".
vmCount Number: Number of VM provisioned with the machine_type.

KerberosConfigResponse

CrossRealmTrustAdminServer string: Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
CrossRealmTrustKdc string: Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
CrossRealmTrustRealm string: Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
CrossRealmTrustSharedPasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
EnableKerberos bool: Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
KdcDbKeyUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
KeyPasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
KeystorePasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
KeystoreUri string: Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
KmsKeyUri string: Optional. The uri of the KMS key used to encrypt various sensitive files.
Realm string: Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
RootPrincipalPasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
TgtLifetimeHours int: Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
TruststorePasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
TruststoreUri string: Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

CrossRealmTrustAdminServer string: Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
CrossRealmTrustKdc string: Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
CrossRealmTrustRealm string: Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
CrossRealmTrustSharedPasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
EnableKerberos bool: Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
KdcDbKeyUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
KeyPasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
KeystorePasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
KeystoreUri string: Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
KmsKeyUri string: Optional. The uri of the KMS key used to encrypt various sensitive files.
Realm string: Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
RootPrincipalPasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
TgtLifetimeHours int: Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
TruststorePasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
TruststoreUri string: Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

crossRealmTrustAdminServer String: Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
crossRealmTrustKdc String: Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
crossRealmTrustRealm String: Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
crossRealmTrustSharedPasswordUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
enableKerberos Boolean: Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
kdcDbKeyUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
keyPasswordUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
keystorePasswordUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
keystoreUri String: Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
kmsKeyUri String: Optional. The uri of the KMS key used to encrypt various sensitive files.
realm String: Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
rootPrincipalPasswordUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
tgtLifetimeHours Integer: Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
truststorePasswordUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
truststoreUri String: Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

crossRealmTrustAdminServer string: Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
crossRealmTrustKdc string: Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
crossRealmTrustRealm string: Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
crossRealmTrustSharedPasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
enableKerberos boolean: Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
kdcDbKeyUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
keyPasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
keystorePasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
keystoreUri string: Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
kmsKeyUri string: Optional. The uri of the KMS key used to encrypt various sensitive files.
realm string: Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
rootPrincipalPasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
tgtLifetimeHours number: Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
truststorePasswordUri string: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
truststoreUri string: Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

cross_realm_trust_admin_server str: Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
cross_realm_trust_kdc str: Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
cross_realm_trust_realm str: Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
cross_realm_trust_shared_password_uri str: Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
enable_kerberos bool: Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
kdc_db_key_uri str: Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
key_password_uri str: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
keystore_password_uri str: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
keystore_uri str: Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
kms_key_uri str: Optional. The uri of the KMS key used to encrypt various sensitive files.
realm str: Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
root_principal_password_uri str: Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
tgt_lifetime_hours int: Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
truststore_password_uri str: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
truststore_uri str: Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

crossRealmTrustAdminServer String: Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
crossRealmTrustKdc String: Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
crossRealmTrustRealm String: Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
crossRealmTrustSharedPasswordUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
enableKerberos Boolean: Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
kdcDbKeyUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
keyPasswordUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
keystorePasswordUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
keystoreUri String: Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
kmsKeyUri String: Optional. The uri of the KMS key used to encrypt various sensitive files.
realm String: Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
rootPrincipalPasswordUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
tgtLifetimeHours Number: Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
truststorePasswordUri String: Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
truststoreUri String: Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

KubernetesClusterConfigResponse

GkeClusterConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeClusterConfigResponse: The configuration for running the Dataproc cluster on GKE.
KubernetesNamespace string: Optional. A namespace within the Kubernetes cluster to deploy into. If this namespace does not exist, it is created. If it exists, Dataproc verifies that another Dataproc VirtualCluster is not installed into it. If not specified, the name of the Dataproc Cluster is used.
KubernetesSoftwareConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.KubernetesSoftwareConfigResponse: Optional. The software configuration for this Dataproc cluster running on Kubernetes.

GkeClusterConfig GkeClusterConfigResponse: The configuration for running the Dataproc cluster on GKE.
KubernetesNamespace string: Optional. A namespace within the Kubernetes cluster to deploy into. If this namespace does not exist, it is created. If it exists, Dataproc verifies that another Dataproc VirtualCluster is not installed into it. If not specified, the name of the Dataproc Cluster is used.
KubernetesSoftwareConfig KubernetesSoftwareConfigResponse: Optional. The software configuration for this Dataproc cluster running on Kubernetes.

gkeClusterConfig GkeClusterConfigResponse: The configuration for running the Dataproc cluster on GKE.
kubernetesNamespace String: Optional. A namespace within the Kubernetes cluster to deploy into. If this namespace does not exist, it is created. If it exists, Dataproc verifies that another Dataproc VirtualCluster is not installed into it. If not specified, the name of the Dataproc Cluster is used.
kubernetesSoftwareConfig KubernetesSoftwareConfigResponse: Optional. The software configuration for this Dataproc cluster running on Kubernetes.

gkeClusterConfig GkeClusterConfigResponse: The configuration for running the Dataproc cluster on GKE.
kubernetesNamespace string: Optional. A namespace within the Kubernetes cluster to deploy into. If this namespace does not exist, it is created. If it exists, Dataproc verifies that another Dataproc VirtualCluster is not installed into it. If not specified, the name of the Dataproc Cluster is used.
kubernetesSoftwareConfig KubernetesSoftwareConfigResponse: Optional. The software configuration for this Dataproc cluster running on Kubernetes.

gke_cluster_config GkeClusterConfigResponse: The configuration for running the Dataproc cluster on GKE.
kubernetes_namespace str: Optional. A namespace within the Kubernetes cluster to deploy into. If this namespace does not exist, it is created. If it exists, Dataproc verifies that another Dataproc VirtualCluster is not installed into it. If not specified, the name of the Dataproc Cluster is used.
kubernetes_software_config KubernetesSoftwareConfigResponse: Optional. The software configuration for this Dataproc cluster running on Kubernetes.

gkeClusterConfig Property Map: The configuration for running the Dataproc cluster on GKE.
kubernetesNamespace String: Optional. A namespace within the Kubernetes cluster to deploy into. If this namespace does not exist, it is created. If it exists, Dataproc verifies that another Dataproc VirtualCluster is not installed into it. If not specified, the name of the Dataproc Cluster is used.
kubernetesSoftwareConfig Property Map: Optional. The software configuration for this Dataproc cluster running on Kubernetes.

KubernetesSoftwareConfigResponse

ComponentVersion Dictionary<string, string>: The components that should be installed in this Dataproc cluster. The key must be a string from the KubernetesComponent enumeration. The value is the version of the software to be installed. At least one entry must be specified.
Properties Dictionary<string, string>: The properties to set on daemon config files.Property keys are specified in prefix:property format, for example spark:spark.kubernetes.container.image. The following are supported prefixes and their mappings: spark: spark-defaults.confFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

ComponentVersion map[string]string: The components that should be installed in this Dataproc cluster. The key must be a string from the KubernetesComponent enumeration. The value is the version of the software to be installed. At least one entry must be specified.
Properties map[string]string: The properties to set on daemon config files.Property keys are specified in prefix:property format, for example spark:spark.kubernetes.container.image. The following are supported prefixes and their mappings: spark: spark-defaults.confFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

componentVersion Map<String,String>: The components that should be installed in this Dataproc cluster. The key must be a string from the KubernetesComponent enumeration. The value is the version of the software to be installed. At least one entry must be specified.
properties Map<String,String>: The properties to set on daemon config files.Property keys are specified in prefix:property format, for example spark:spark.kubernetes.container.image. The following are supported prefixes and their mappings: spark: spark-defaults.confFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

componentVersion {[key: string]: string}: The components that should be installed in this Dataproc cluster. The key must be a string from the KubernetesComponent enumeration. The value is the version of the software to be installed. At least one entry must be specified.
properties {[key: string]: string}: The properties to set on daemon config files.Property keys are specified in prefix:property format, for example spark:spark.kubernetes.container.image. The following are supported prefixes and their mappings: spark: spark-defaults.confFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

component_version Mapping[str, str]: The components that should be installed in this Dataproc cluster. The key must be a string from the KubernetesComponent enumeration. The value is the version of the software to be installed. At least one entry must be specified.
properties Mapping[str, str]: The properties to set on daemon config files.Property keys are specified in prefix:property format, for example spark:spark.kubernetes.container.image. The following are supported prefixes and their mappings: spark: spark-defaults.confFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

componentVersion Map<String>: The components that should be installed in this Dataproc cluster. The key must be a string from the KubernetesComponent enumeration. The value is the version of the software to be installed. At least one entry must be specified.
properties Map<String>: The properties to set on daemon config files.Property keys are specified in prefix:property format, for example spark:spark.kubernetes.container.image. The following are supported prefixes and their mappings: spark: spark-defaults.confFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

LifecycleConfigResponse

AutoDeleteTime string: Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
AutoDeleteTtl string: Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
IdleDeleteTtl string: Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
IdleStartTime string: The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

AutoDeleteTime string: Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
AutoDeleteTtl string: Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
IdleDeleteTtl string: Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
IdleStartTime string: The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

autoDeleteTime String: Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
autoDeleteTtl String: Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
idleDeleteTtl String: Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
idleStartTime String: The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

autoDeleteTime string: Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
autoDeleteTtl string: Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
idleDeleteTtl string: Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
idleStartTime string: The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

auto_delete_time str: Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
auto_delete_ttl str: Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
idle_delete_ttl str: Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
idle_start_time str: The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

autoDeleteTime String: Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
autoDeleteTtl String: Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
idleDeleteTtl String: Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
idleStartTime String: The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

ManagedGroupConfigResponse

InstanceGroupManagerName string: The name of the Instance Group Manager for this group.
InstanceGroupManagerUri string: The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
InstanceTemplateName string: The name of the Instance Template used for the Managed Instance Group.

InstanceGroupManagerName string: The name of the Instance Group Manager for this group.
InstanceGroupManagerUri string: The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
InstanceTemplateName string: The name of the Instance Template used for the Managed Instance Group.

instanceGroupManagerName String: The name of the Instance Group Manager for this group.
instanceGroupManagerUri String: The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
instanceTemplateName String: The name of the Instance Template used for the Managed Instance Group.

instanceGroupManagerName string: The name of the Instance Group Manager for this group.
instanceGroupManagerUri string: The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
instanceTemplateName string: The name of the Instance Template used for the Managed Instance Group.

instance_group_manager_name str: The name of the Instance Group Manager for this group.
instance_group_manager_uri str: The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
instance_template_name str: The name of the Instance Template used for the Managed Instance Group.

instanceGroupManagerName String: The name of the Instance Group Manager for this group.
instanceGroupManagerUri String: The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
instanceTemplateName String: The name of the Instance Template used for the Managed Instance Group.

MetastoreConfigResponse

DataprocMetastoreService string: Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]

DataprocMetastoreService string: Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]

dataprocMetastoreService String: Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]

dataprocMetastoreService string: Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]

dataproc_metastore_service str: Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]

dataprocMetastoreService String: Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]

MetricResponse

MetricOverrides List<string>: Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
MetricSource string: A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).

MetricOverrides []string: Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
MetricSource string: A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).

metricOverrides List<String>: Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
metricSource String: A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).

metricOverrides string[]: Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
metricSource string: A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).

metric_overrides Sequence[str]: Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
metric_source str: A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).

metricOverrides List<String>: Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
metricSource String: A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).

NamespacedGkeDeploymentTargetResponse

ClusterNamespace string: Optional. A namespace within the GKE cluster to deploy into.
TargetGkeCluster string: Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

ClusterNamespace string: Optional. A namespace within the GKE cluster to deploy into.
TargetGkeCluster string: Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

clusterNamespace String: Optional. A namespace within the GKE cluster to deploy into.
targetGkeCluster String: Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

clusterNamespace string: Optional. A namespace within the GKE cluster to deploy into.
targetGkeCluster string: Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

cluster_namespace str: Optional. A namespace within the GKE cluster to deploy into.
target_gke_cluster str: Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

clusterNamespace String: Optional. A namespace within the GKE cluster to deploy into.
targetGkeCluster String: Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

NodeGroupAffinityResponse

NodeGroupUri string: The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1

NodeGroupUri string: The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1

nodeGroupUri String: The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1

nodeGroupUri string: The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1

node_group_uri str: The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1

nodeGroupUri String: The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1

NodeGroupResponse

Labels Dictionary<string, string>: Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
Name string: The Node group resource name (https://aip.dev/122).
NodeGroupConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigResponse: Optional. The node group instance group configuration.
Roles List<string>: Node group roles.

Labels map[string]string: Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
Name string: The Node group resource name (https://aip.dev/122).
NodeGroupConfig InstanceGroupConfigResponse: Optional. The node group instance group configuration.
Roles []string: Node group roles.

labels Map<String,String>: Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
name String: The Node group resource name (https://aip.dev/122).
nodeGroupConfig InstanceGroupConfigResponse: Optional. The node group instance group configuration.
roles List<String>: Node group roles.

labels {[key: string]: string}: Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
name string: The Node group resource name (https://aip.dev/122).
nodeGroupConfig InstanceGroupConfigResponse: Optional. The node group instance group configuration.
roles string[]: Node group roles.

labels Mapping[str, str]: Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
name str: The Node group resource name (https://aip.dev/122).
node_group_config InstanceGroupConfigResponse: Optional. The node group instance group configuration.
roles Sequence[str]: Node group roles.

labels Map<String>: Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
name String: The Node group resource name (https://aip.dev/122).
nodeGroupConfig Property Map: Optional. The node group instance group configuration.
roles List<String>: Node group roles.

NodeInitializationActionResponse

ExecutableFile string: Cloud Storage URI of executable file.
ExecutionTimeout string: Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.

ExecutableFile string: Cloud Storage URI of executable file.
ExecutionTimeout string: Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.

executableFile String: Cloud Storage URI of executable file.
executionTimeout String: Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.

executableFile string: Cloud Storage URI of executable file.
executionTimeout string: Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.

executable_file str: Cloud Storage URI of executable file.
execution_timeout str: Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.

executableFile String: Cloud Storage URI of executable file.
executionTimeout String: Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.

ReservationAffinityResponse

ConsumeReservationType string: Optional. Type of reservation to consume
Key string: Optional. Corresponds to the label key of reservation resource.
Values List<string>: Optional. Corresponds to the label values of reservation resource.

ConsumeReservationType string: Optional. Type of reservation to consume
Key string: Optional. Corresponds to the label key of reservation resource.
Values []string: Optional. Corresponds to the label values of reservation resource.

consumeReservationType String: Optional. Type of reservation to consume
key String: Optional. Corresponds to the label key of reservation resource.
values List<String>: Optional. Corresponds to the label values of reservation resource.

consumeReservationType string: Optional. Type of reservation to consume
key string: Optional. Corresponds to the label key of reservation resource.
values string[]: Optional. Corresponds to the label values of reservation resource.

consume_reservation_type str: Optional. Type of reservation to consume
key str: Optional. Corresponds to the label key of reservation resource.
values Sequence[str]: Optional. Corresponds to the label values of reservation resource.

consumeReservationType String: Optional. Type of reservation to consume
key String: Optional. Corresponds to the label key of reservation resource.
values List<String>: Optional. Corresponds to the label values of reservation resource.

SecurityConfigResponse

IdentityConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.IdentityConfigResponse: Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
KerberosConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.KerberosConfigResponse: Optional. Kerberos related configuration.

IdentityConfig IdentityConfigResponse: Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
KerberosConfig KerberosConfigResponse: Optional. Kerberos related configuration.

identityConfig IdentityConfigResponse: Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
kerberosConfig KerberosConfigResponse: Optional. Kerberos related configuration.

identityConfig IdentityConfigResponse: Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
kerberosConfig KerberosConfigResponse: Optional. Kerberos related configuration.

identity_config IdentityConfigResponse: Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
kerberos_config KerberosConfigResponse: Optional. Kerberos related configuration.

identityConfig Property Map: Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
kerberosConfig Property Map: Optional. Kerberos related configuration.

ShieldedInstanceConfigResponse

EnableIntegrityMonitoring bool: Optional. Defines whether instances have integrity monitoring enabled.
EnableSecureBoot bool: Optional. Defines whether instances have Secure Boot enabled.
EnableVtpm bool: Optional. Defines whether instances have the vTPM enabled.

EnableIntegrityMonitoring bool: Optional. Defines whether instances have integrity monitoring enabled.
EnableSecureBoot bool: Optional. Defines whether instances have Secure Boot enabled.
EnableVtpm bool: Optional. Defines whether instances have the vTPM enabled.

enableIntegrityMonitoring Boolean: Optional. Defines whether instances have integrity monitoring enabled.
enableSecureBoot Boolean: Optional. Defines whether instances have Secure Boot enabled.
enableVtpm Boolean: Optional. Defines whether instances have the vTPM enabled.

enableIntegrityMonitoring boolean: Optional. Defines whether instances have integrity monitoring enabled.
enableSecureBoot boolean: Optional. Defines whether instances have Secure Boot enabled.
enableVtpm boolean: Optional. Defines whether instances have the vTPM enabled.

enable_integrity_monitoring bool: Optional. Defines whether instances have integrity monitoring enabled.
enable_secure_boot bool: Optional. Defines whether instances have Secure Boot enabled.
enable_vtpm bool: Optional. Defines whether instances have the vTPM enabled.

enableIntegrityMonitoring Boolean: Optional. Defines whether instances have integrity monitoring enabled.
enableSecureBoot Boolean: Optional. Defines whether instances have Secure Boot enabled.
enableVtpm Boolean: Optional. Defines whether instances have the vTPM enabled.

SoftwareConfigResponse

ImageVersion string: Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
OptionalComponents List<string>: Optional. The set of components to activate on the cluster.
Properties Dictionary<string, string>: Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

ImageVersion string: Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
OptionalComponents []string: Optional. The set of components to activate on the cluster.
Properties map[string]string: Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

imageVersion String: Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
optionalComponents List<String>: Optional. The set of components to activate on the cluster.
properties Map<String,String>: Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

imageVersion string: Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
optionalComponents string[]: Optional. The set of components to activate on the cluster.
properties {[key: string]: string}: Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

image_version str: Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
optional_components Sequence[str]: Optional. The set of components to activate on the cluster.
properties Mapping[str, str]: Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

imageVersion String: Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
optionalComponents List<String>: Optional. The set of components to activate on the cluster.
properties Map<String>: Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

SparkHistoryServerConfigResponse

DataprocCluster string: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

DataprocCluster string: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

dataprocCluster String: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

dataprocCluster string: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

dataproc_cluster str: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

dataprocCluster String: Optional. Resource name of an existing Dataproc Cluster to act as a Spark History Server for the workload.Example: projects/[project_id]/regions/[region]/clusters/[cluster_name]

StartupConfigResponse

RequiredRegistrationFraction double: Optional. The config setting to enable cluster creation/ updation to be successful only after required_registration_fraction of instances are up and running. This configuration is applicable to only secondary workers for now. The cluster will fail if required_registration_fraction of instances are not available. This will include instance creation, agent registration, and service registration (if enabled).

RequiredRegistrationFraction float64: Optional. The config setting to enable cluster creation/ updation to be successful only after required_registration_fraction of instances are up and running. This configuration is applicable to only secondary workers for now. The cluster will fail if required_registration_fraction of instances are not available. This will include instance creation, agent registration, and service registration (if enabled).

requiredRegistrationFraction Double: Optional. The config setting to enable cluster creation/ updation to be successful only after required_registration_fraction of instances are up and running. This configuration is applicable to only secondary workers for now. The cluster will fail if required_registration_fraction of instances are not available. This will include instance creation, agent registration, and service registration (if enabled).

requiredRegistrationFraction number: Optional. The config setting to enable cluster creation/ updation to be successful only after required_registration_fraction of instances are up and running. This configuration is applicable to only secondary workers for now. The cluster will fail if required_registration_fraction of instances are not available. This will include instance creation, agent registration, and service registration (if enabled).

required_registration_fraction float: Optional. The config setting to enable cluster creation/ updation to be successful only after required_registration_fraction of instances are up and running. This configuration is applicable to only secondary workers for now. The cluster will fail if required_registration_fraction of instances are not available. This will include instance creation, agent registration, and service registration (if enabled).

requiredRegistrationFraction Number: Optional. The config setting to enable cluster creation/ updation to be successful only after required_registration_fraction of instances are up and running. This configuration is applicable to only secondary workers for now. The cluster will fail if required_registration_fraction of instances are not available. This will include instance creation, agent registration, and service registration (if enabled).

VirtualClusterConfigResponse

AuxiliaryServicesConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.AuxiliaryServicesConfigResponse: Optional. Configuration of auxiliary services used by this cluster.
KubernetesClusterConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.KubernetesClusterConfigResponse: The configuration for running the Dataproc cluster on Kubernetes.
StagingBucket 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.

AuxiliaryServicesConfig AuxiliaryServicesConfigResponse: Optional. Configuration of auxiliary services used by this cluster.
KubernetesClusterConfig KubernetesClusterConfigResponse: The configuration for running the Dataproc cluster on Kubernetes.
StagingBucket 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.

auxiliaryServicesConfig AuxiliaryServicesConfigResponse: Optional. Configuration of auxiliary services used by this cluster.
kubernetesClusterConfig KubernetesClusterConfigResponse: The configuration for running the Dataproc cluster on Kubernetes.
stagingBucket 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.

auxiliaryServicesConfig AuxiliaryServicesConfigResponse: Optional. Configuration of auxiliary services used by this cluster.
kubernetesClusterConfig KubernetesClusterConfigResponse: The configuration for running the Dataproc cluster on Kubernetes.
stagingBucket 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.

auxiliary_services_config AuxiliaryServicesConfigResponse: Optional. Configuration of auxiliary services used by this cluster.
kubernetes_cluster_config KubernetesClusterConfigResponse: The configuration for running the Dataproc cluster on Kubernetes.
staging_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.

auxiliaryServicesConfig Property Map: Optional. Configuration of auxiliary services used by this cluster.
kubernetesClusterConfig Property Map: The configuration for running the Dataproc cluster on Kubernetes.
stagingBucket 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.

Package Details

Repository: Google Cloud Native pulumi/pulumi-google-native
License: Apache-2.0

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

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.dataproc/v1.getCluster

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Using getCluster

getCluster Result

Supporting Types

AcceleratorConfigResponse

AutoscalingConfigResponse

AuxiliaryNodeGroupResponse

AuxiliaryServicesConfigResponse

ClusterConfigResponse

ClusterMetricsResponse

ClusterStatusResponse

ConfidentialInstanceConfigResponse

DataprocMetricConfigResponse

DiskConfigResponse

EncryptionConfigResponse

EndpointConfigResponse

GceClusterConfigResponse

GkeClusterConfigResponse

GkeNodeConfigResponse

GkeNodePoolAcceleratorConfigResponse

GkeNodePoolAutoscalingConfigResponse

GkeNodePoolConfigResponse

GkeNodePoolTargetResponse

IdentityConfigResponse

InstanceFlexibilityPolicyResponse

InstanceGroupConfigResponse

InstanceReferenceResponse

InstanceSelectionResponse

InstanceSelectionResultResponse

KerberosConfigResponse

KubernetesClusterConfigResponse

KubernetesSoftwareConfigResponse

LifecycleConfigResponse

ManagedGroupConfigResponse

MetastoreConfigResponse

MetricResponse

NamespacedGkeDeploymentTargetResponse

NodeGroupAffinityResponse

NodeGroupResponse

NodeInitializationActionResponse

ReservationAffinityResponse

SecurityConfigResponse

ShieldedInstanceConfigResponse

SoftwareConfigResponse

SparkHistoryServerConfigResponse

StartupConfigResponse

VirtualClusterConfigResponse

Package Details

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