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Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.dataproc/v1.Cluster

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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

    Creates a cluster in a project. The returned Operation.metadata will be ClusterOperationMetadata (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#clusteroperationmetadata). Auto-naming is currently not supported for this resource.

    Create Cluster Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new Cluster(name: string, args: ClusterArgs, opts?: CustomResourceOptions);
    @overload
def Cluster(resource_name: str,
            args: ClusterArgs,
            opts: Optional[ResourceOptions] = None)

@overload
def Cluster(resource_name: str,
            opts: Optional[ResourceOptions] = None,
            cluster_name: Optional[str] = None,
            region: Optional[str] = None,
            action_on_failed_primary_workers: Optional[str] = None,
            config: Optional[ClusterConfigArgs] = None,
            labels: Optional[Mapping[str, str]] = None,
            project: Optional[str] = None,
            request_id: Optional[str] = None,
            virtual_cluster_config: Optional[VirtualClusterConfigArgs] = None)
    func NewCluster(ctx *Context, name string, args ClusterArgs, opts ...ResourceOption) (*Cluster, error)
    public Cluster(string name, ClusterArgs args, CustomResourceOptions? opts = null)
    public Cluster(String name, ClusterArgs args)
public Cluster(String name, ClusterArgs args, CustomResourceOptions options)

    type: google-native:dataproc/v1:Cluster
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args ClusterArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args ClusterArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args ClusterArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args ClusterArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args ClusterArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var exampleclusterResourceResourceFromDataprocv1 = new GoogleNative.Dataproc.V1.Cluster("exampleclusterResourceResourceFromDataprocv1", new()
{
    ClusterName = "string",
    Region = "string",
    ActionOnFailedPrimaryWorkers = "string",
    Config = new GoogleNative.Dataproc.V1.Inputs.ClusterConfigArgs
    {
        AutoscalingConfig = new GoogleNative.Dataproc.V1.Inputs.AutoscalingConfigArgs
        {
            PolicyUri = "string",
        },
        AuxiliaryNodeGroups = new[]
        {
            new GoogleNative.Dataproc.V1.Inputs.AuxiliaryNodeGroupArgs
            {
                NodeGroup = new GoogleNative.Dataproc.V1.Inputs.NodeGroupArgs
                {
                    Roles = new[]
                    {
                        GoogleNative.Dataproc.V1.NodeGroupRolesItem.RoleUnspecified,
                    },
                    Labels = 
                    {
                        { "string", "string" },
                    },
                    Name = "string",
                    NodeGroupConfig = new GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigArgs
                    {
                        Accelerators = new[]
                        {
                            new GoogleNative.Dataproc.V1.Inputs.AcceleratorConfigArgs
                            {
                                AcceleratorCount = 0,
                                AcceleratorTypeUri = "string",
                            },
                        },
                        DiskConfig = new GoogleNative.Dataproc.V1.Inputs.DiskConfigArgs
                        {
                            BootDiskSizeGb = 0,
                            BootDiskType = "string",
                            LocalSsdInterface = "string",
                            NumLocalSsds = 0,
                        },
                        ImageUri = "string",
                        InstanceFlexibilityPolicy = new GoogleNative.Dataproc.V1.Inputs.InstanceFlexibilityPolicyArgs
                        {
                            InstanceSelectionList = new[]
                            {
                                new GoogleNative.Dataproc.V1.Inputs.InstanceSelectionArgs
                                {
                                    MachineTypes = new[]
                                    {
                                        "string",
                                    },
                                    Rank = 0,
                                },
                            },
                        },
                        MachineTypeUri = "string",
                        MinCpuPlatform = "string",
                        MinNumInstances = 0,
                        NumInstances = 0,
                        Preemptibility = GoogleNative.Dataproc.V1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
                        StartupConfig = new GoogleNative.Dataproc.V1.Inputs.StartupConfigArgs
                        {
                            RequiredRegistrationFraction = 0,
                        },
                    },
                },
                NodeGroupId = "string",
            },
        },
        ConfigBucket = "string",
        DataprocMetricConfig = new GoogleNative.Dataproc.V1.Inputs.DataprocMetricConfigArgs
        {
            Metrics = new[]
            {
                new GoogleNative.Dataproc.V1.Inputs.MetricArgs
                {
                    MetricSource = GoogleNative.Dataproc.V1.MetricMetricSource.MetricSourceUnspecified,
                    MetricOverrides = new[]
                    {
                        "string",
                    },
                },
            },
        },
        EncryptionConfig = new GoogleNative.Dataproc.V1.Inputs.EncryptionConfigArgs
        {
            GcePdKmsKeyName = "string",
            KmsKey = "string",
        },
        EndpointConfig = new GoogleNative.Dataproc.V1.Inputs.EndpointConfigArgs
        {
            EnableHttpPortAccess = false,
        },
        GceClusterConfig = new GoogleNative.Dataproc.V1.Inputs.GceClusterConfigArgs
        {
            ConfidentialInstanceConfig = new GoogleNative.Dataproc.V1.Inputs.ConfidentialInstanceConfigArgs
            {
                EnableConfidentialCompute = false,
            },
            InternalIpOnly = false,
            Metadata = 
            {
                { "string", "string" },
            },
            NetworkUri = "string",
            NodeGroupAffinity = new GoogleNative.Dataproc.V1.Inputs.NodeGroupAffinityArgs
            {
                NodeGroupUri = "string",
            },
            PrivateIpv6GoogleAccess = GoogleNative.Dataproc.V1.GceClusterConfigPrivateIpv6GoogleAccess.PrivateIpv6GoogleAccessUnspecified,
            ReservationAffinity = new GoogleNative.Dataproc.V1.Inputs.ReservationAffinityArgs
            {
                ConsumeReservationType = GoogleNative.Dataproc.V1.ReservationAffinityConsumeReservationType.TypeUnspecified,
                Key = "string",
                Values = new[]
                {
                    "string",
                },
            },
            ServiceAccount = "string",
            ServiceAccountScopes = new[]
            {
                "string",
            },
            ShieldedInstanceConfig = new GoogleNative.Dataproc.V1.Inputs.ShieldedInstanceConfigArgs
            {
                EnableIntegrityMonitoring = false,
                EnableSecureBoot = false,
                EnableVtpm = false,
            },
            SubnetworkUri = "string",
            Tags = new[]
            {
                "string",
            },
            ZoneUri = "string",
        },
        GkeClusterConfig = new GoogleNative.Dataproc.V1.Inputs.GkeClusterConfigArgs
        {
            GkeClusterTarget = "string",
            NodePoolTarget = new[]
            {
                new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolTargetArgs
                {
                    NodePool = "string",
                    Roles = new[]
                    {
                        GoogleNative.Dataproc.V1.GkeNodePoolTargetRolesItem.RoleUnspecified,
                    },
                    NodePoolConfig = new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolConfigArgs
                    {
                        Autoscaling = new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolAutoscalingConfigArgs
                        {
                            MaxNodeCount = 0,
                            MinNodeCount = 0,
                        },
                        Config = new GoogleNative.Dataproc.V1.Inputs.GkeNodeConfigArgs
                        {
                            Accelerators = new[]
                            {
                                new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolAcceleratorConfigArgs
                                {
                                    AcceleratorCount = "string",
                                    AcceleratorType = "string",
                                    GpuPartitionSize = "string",
                                },
                            },
                            BootDiskKmsKey = "string",
                            LocalSsdCount = 0,
                            MachineType = "string",
                            MinCpuPlatform = "string",
                            Preemptible = false,
                            Spot = false,
                        },
                        Locations = new[]
                        {
                            "string",
                        },
                    },
                },
            },
        },
        InitializationActions = new[]
        {
            new GoogleNative.Dataproc.V1.Inputs.NodeInitializationActionArgs
            {
                ExecutableFile = "string",
                ExecutionTimeout = "string",
            },
        },
        LifecycleConfig = new GoogleNative.Dataproc.V1.Inputs.LifecycleConfigArgs
        {
            AutoDeleteTime = "string",
            AutoDeleteTtl = "string",
            IdleDeleteTtl = "string",
        },
        MasterConfig = new GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigArgs
        {
            Accelerators = new[]
            {
                new GoogleNative.Dataproc.V1.Inputs.AcceleratorConfigArgs
                {
                    AcceleratorCount = 0,
                    AcceleratorTypeUri = "string",
                },
            },
            DiskConfig = new GoogleNative.Dataproc.V1.Inputs.DiskConfigArgs
            {
                BootDiskSizeGb = 0,
                BootDiskType = "string",
                LocalSsdInterface = "string",
                NumLocalSsds = 0,
            },
            ImageUri = "string",
            InstanceFlexibilityPolicy = new GoogleNative.Dataproc.V1.Inputs.InstanceFlexibilityPolicyArgs
            {
                InstanceSelectionList = new[]
                {
                    new GoogleNative.Dataproc.V1.Inputs.InstanceSelectionArgs
                    {
                        MachineTypes = new[]
                        {
                            "string",
                        },
                        Rank = 0,
                    },
                },
            },
            MachineTypeUri = "string",
            MinCpuPlatform = "string",
            MinNumInstances = 0,
            NumInstances = 0,
            Preemptibility = GoogleNative.Dataproc.V1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
            StartupConfig = new GoogleNative.Dataproc.V1.Inputs.StartupConfigArgs
            {
                RequiredRegistrationFraction = 0,
            },
        },
        MetastoreConfig = new GoogleNative.Dataproc.V1.Inputs.MetastoreConfigArgs
        {
            DataprocMetastoreService = "string",
        },
        SecondaryWorkerConfig = new GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigArgs
        {
            Accelerators = new[]
            {
                new GoogleNative.Dataproc.V1.Inputs.AcceleratorConfigArgs
                {
                    AcceleratorCount = 0,
                    AcceleratorTypeUri = "string",
                },
            },
            DiskConfig = new GoogleNative.Dataproc.V1.Inputs.DiskConfigArgs
            {
                BootDiskSizeGb = 0,
                BootDiskType = "string",
                LocalSsdInterface = "string",
                NumLocalSsds = 0,
            },
            ImageUri = "string",
            InstanceFlexibilityPolicy = new GoogleNative.Dataproc.V1.Inputs.InstanceFlexibilityPolicyArgs
            {
                InstanceSelectionList = new[]
                {
                    new GoogleNative.Dataproc.V1.Inputs.InstanceSelectionArgs
                    {
                        MachineTypes = new[]
                        {
                            "string",
                        },
                        Rank = 0,
                    },
                },
            },
            MachineTypeUri = "string",
            MinCpuPlatform = "string",
            MinNumInstances = 0,
            NumInstances = 0,
            Preemptibility = GoogleNative.Dataproc.V1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
            StartupConfig = new GoogleNative.Dataproc.V1.Inputs.StartupConfigArgs
            {
                RequiredRegistrationFraction = 0,
            },
        },
        SecurityConfig = new GoogleNative.Dataproc.V1.Inputs.SecurityConfigArgs
        {
            IdentityConfig = new GoogleNative.Dataproc.V1.Inputs.IdentityConfigArgs
            {
                UserServiceAccountMapping = 
                {
                    { "string", "string" },
                },
            },
            KerberosConfig = new GoogleNative.Dataproc.V1.Inputs.KerberosConfigArgs
            {
                CrossRealmTrustAdminServer = "string",
                CrossRealmTrustKdc = "string",
                CrossRealmTrustRealm = "string",
                CrossRealmTrustSharedPasswordUri = "string",
                EnableKerberos = false,
                KdcDbKeyUri = "string",
                KeyPasswordUri = "string",
                KeystorePasswordUri = "string",
                KeystoreUri = "string",
                KmsKeyUri = "string",
                Realm = "string",
                RootPrincipalPasswordUri = "string",
                TgtLifetimeHours = 0,
                TruststorePasswordUri = "string",
                TruststoreUri = "string",
            },
        },
        SoftwareConfig = new GoogleNative.Dataproc.V1.Inputs.SoftwareConfigArgs
        {
            ImageVersion = "string",
            OptionalComponents = new[]
            {
                GoogleNative.Dataproc.V1.SoftwareConfigOptionalComponentsItem.ComponentUnspecified,
            },
            Properties = 
            {
                { "string", "string" },
            },
        },
        TempBucket = "string",
        WorkerConfig = new GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigArgs
        {
            Accelerators = new[]
            {
                new GoogleNative.Dataproc.V1.Inputs.AcceleratorConfigArgs
                {
                    AcceleratorCount = 0,
                    AcceleratorTypeUri = "string",
                },
            },
            DiskConfig = new GoogleNative.Dataproc.V1.Inputs.DiskConfigArgs
            {
                BootDiskSizeGb = 0,
                BootDiskType = "string",
                LocalSsdInterface = "string",
                NumLocalSsds = 0,
            },
            ImageUri = "string",
            InstanceFlexibilityPolicy = new GoogleNative.Dataproc.V1.Inputs.InstanceFlexibilityPolicyArgs
            {
                InstanceSelectionList = new[]
                {
                    new GoogleNative.Dataproc.V1.Inputs.InstanceSelectionArgs
                    {
                        MachineTypes = new[]
                        {
                            "string",
                        },
                        Rank = 0,
                    },
                },
            },
            MachineTypeUri = "string",
            MinCpuPlatform = "string",
            MinNumInstances = 0,
            NumInstances = 0,
            Preemptibility = GoogleNative.Dataproc.V1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
            StartupConfig = new GoogleNative.Dataproc.V1.Inputs.StartupConfigArgs
            {
                RequiredRegistrationFraction = 0,
            },
        },
    },
    Labels = 
    {
        { "string", "string" },
    },
    Project = "string",
    RequestId = "string",
    VirtualClusterConfig = new GoogleNative.Dataproc.V1.Inputs.VirtualClusterConfigArgs
    {
        KubernetesClusterConfig = new GoogleNative.Dataproc.V1.Inputs.KubernetesClusterConfigArgs
        {
            GkeClusterConfig = new GoogleNative.Dataproc.V1.Inputs.GkeClusterConfigArgs
            {
                GkeClusterTarget = "string",
                NodePoolTarget = new[]
                {
                    new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolTargetArgs
                    {
                        NodePool = "string",
                        Roles = new[]
                        {
                            GoogleNative.Dataproc.V1.GkeNodePoolTargetRolesItem.RoleUnspecified,
                        },
                        NodePoolConfig = new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolConfigArgs
                        {
                            Autoscaling = new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolAutoscalingConfigArgs
                            {
                                MaxNodeCount = 0,
                                MinNodeCount = 0,
                            },
                            Config = new GoogleNative.Dataproc.V1.Inputs.GkeNodeConfigArgs
                            {
                                Accelerators = new[]
                                {
                                    new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolAcceleratorConfigArgs
                                    {
                                        AcceleratorCount = "string",
                                        AcceleratorType = "string",
                                        GpuPartitionSize = "string",
                                    },
                                },
                                BootDiskKmsKey = "string",
                                LocalSsdCount = 0,
                                MachineType = "string",
                                MinCpuPlatform = "string",
                                Preemptible = false,
                                Spot = false,
                            },
                            Locations = new[]
                            {
                                "string",
                            },
                        },
                    },
                },
            },
            KubernetesNamespace = "string",
            KubernetesSoftwareConfig = new GoogleNative.Dataproc.V1.Inputs.KubernetesSoftwareConfigArgs
            {
                ComponentVersion = 
                {
                    { "string", "string" },
                },
                Properties = 
                {
                    { "string", "string" },
                },
            },
        },
        AuxiliaryServicesConfig = new GoogleNative.Dataproc.V1.Inputs.AuxiliaryServicesConfigArgs
        {
            MetastoreConfig = new GoogleNative.Dataproc.V1.Inputs.MetastoreConfigArgs
            {
                DataprocMetastoreService = "string",
            },
            SparkHistoryServerConfig = new GoogleNative.Dataproc.V1.Inputs.SparkHistoryServerConfigArgs
            {
                DataprocCluster = "string",
            },
        },
        StagingBucket = "string",
    },
});

    example, err := dataproc.NewCluster(ctx, "exampleclusterResourceResourceFromDataprocv1", &dataproc.ClusterArgs{
	ClusterName:                  pulumi.String("string"),
	Region:                       pulumi.String("string"),
	ActionOnFailedPrimaryWorkers: pulumi.String("string"),
	Config: &dataproc.ClusterConfigArgs{
		AutoscalingConfig: &dataproc.AutoscalingConfigArgs{
			PolicyUri: pulumi.String("string"),
		},
		AuxiliaryNodeGroups: dataproc.AuxiliaryNodeGroupArray{
			&dataproc.AuxiliaryNodeGroupArgs{
				NodeGroup: &dataproc.NodeGroupTypeArgs{
					Roles: dataproc.NodeGroupRolesItemArray{
						dataproc.NodeGroupRolesItemRoleUnspecified,
					},
					Labels: pulumi.StringMap{
						"string": pulumi.String("string"),
					},
					Name: pulumi.String("string"),
					NodeGroupConfig: &dataproc.InstanceGroupConfigArgs{
						Accelerators: dataproc.AcceleratorConfigArray{
							&dataproc.AcceleratorConfigArgs{
								AcceleratorCount:   pulumi.Int(0),
								AcceleratorTypeUri: pulumi.String("string"),
							},
						},
						DiskConfig: &dataproc.DiskConfigArgs{
							BootDiskSizeGb:    pulumi.Int(0),
							BootDiskType:      pulumi.String("string"),
							LocalSsdInterface: pulumi.String("string"),
							NumLocalSsds:      pulumi.Int(0),
						},
						ImageUri: pulumi.String("string"),
						InstanceFlexibilityPolicy: &dataproc.InstanceFlexibilityPolicyArgs{
							InstanceSelectionList: dataproc.InstanceSelectionArray{
								&dataproc.InstanceSelectionArgs{
									MachineTypes: pulumi.StringArray{
										pulumi.String("string"),
									},
									Rank: pulumi.Int(0),
								},
							},
						},
						MachineTypeUri:  pulumi.String("string"),
						MinCpuPlatform:  pulumi.String("string"),
						MinNumInstances: pulumi.Int(0),
						NumInstances:    pulumi.Int(0),
						Preemptibility:  dataproc.InstanceGroupConfigPreemptibilityPreemptibilityUnspecified,
						StartupConfig: &dataproc.StartupConfigArgs{
							RequiredRegistrationFraction: pulumi.Float64(0),
						},
					},
				},
				NodeGroupId: pulumi.String("string"),
			},
		},
		ConfigBucket: pulumi.String("string"),
		DataprocMetricConfig: &dataproc.DataprocMetricConfigArgs{
			Metrics: dataproc.MetricArray{
				&dataproc.MetricArgs{
					MetricSource: dataproc.MetricMetricSourceMetricSourceUnspecified,
					MetricOverrides: pulumi.StringArray{
						pulumi.String("string"),
					},
				},
			},
		},
		EncryptionConfig: &dataproc.EncryptionConfigArgs{
			GcePdKmsKeyName: pulumi.String("string"),
			KmsKey:          pulumi.String("string"),
		},
		EndpointConfig: &dataproc.EndpointConfigArgs{
			EnableHttpPortAccess: pulumi.Bool(false),
		},
		GceClusterConfig: &dataproc.GceClusterConfigArgs{
			ConfidentialInstanceConfig: &dataproc.ConfidentialInstanceConfigArgs{
				EnableConfidentialCompute: pulumi.Bool(false),
			},
			InternalIpOnly: pulumi.Bool(false),
			Metadata: pulumi.StringMap{
				"string": pulumi.String("string"),
			},
			NetworkUri: pulumi.String("string"),
			NodeGroupAffinity: &dataproc.NodeGroupAffinityArgs{
				NodeGroupUri: pulumi.String("string"),
			},
			PrivateIpv6GoogleAccess: dataproc.GceClusterConfigPrivateIpv6GoogleAccessPrivateIpv6GoogleAccessUnspecified,
			ReservationAffinity: &dataproc.ReservationAffinityArgs{
				ConsumeReservationType: dataproc.ReservationAffinityConsumeReservationTypeTypeUnspecified,
				Key:                    pulumi.String("string"),
				Values: pulumi.StringArray{
					pulumi.String("string"),
				},
			},
			ServiceAccount: pulumi.String("string"),
			ServiceAccountScopes: pulumi.StringArray{
				pulumi.String("string"),
			},
			ShieldedInstanceConfig: &dataproc.ShieldedInstanceConfigArgs{
				EnableIntegrityMonitoring: pulumi.Bool(false),
				EnableSecureBoot:          pulumi.Bool(false),
				EnableVtpm:                pulumi.Bool(false),
			},
			SubnetworkUri: pulumi.String("string"),
			Tags: pulumi.StringArray{
				pulumi.String("string"),
			},
			ZoneUri: pulumi.String("string"),
		},
		GkeClusterConfig: &dataproc.GkeClusterConfigArgs{
			GkeClusterTarget: pulumi.String("string"),
			NodePoolTarget: dataproc.GkeNodePoolTargetArray{
				&dataproc.GkeNodePoolTargetArgs{
					NodePool: pulumi.String("string"),
					Roles: dataproc.GkeNodePoolTargetRolesItemArray{
						dataproc.GkeNodePoolTargetRolesItemRoleUnspecified,
					},
					NodePoolConfig: &dataproc.GkeNodePoolConfigArgs{
						Autoscaling: &dataproc.GkeNodePoolAutoscalingConfigArgs{
							MaxNodeCount: pulumi.Int(0),
							MinNodeCount: pulumi.Int(0),
						},
						Config: &dataproc.GkeNodeConfigArgs{
							Accelerators: dataproc.GkeNodePoolAcceleratorConfigArray{
								&dataproc.GkeNodePoolAcceleratorConfigArgs{
									AcceleratorCount: pulumi.String("string"),
									AcceleratorType:  pulumi.String("string"),
									GpuPartitionSize: pulumi.String("string"),
								},
							},
							BootDiskKmsKey: pulumi.String("string"),
							LocalSsdCount:  pulumi.Int(0),
							MachineType:    pulumi.String("string"),
							MinCpuPlatform: pulumi.String("string"),
							Preemptible:    pulumi.Bool(false),
							Spot:           pulumi.Bool(false),
						},
						Locations: pulumi.StringArray{
							pulumi.String("string"),
						},
					},
				},
			},
		},
		InitializationActions: dataproc.NodeInitializationActionArray{
			&dataproc.NodeInitializationActionArgs{
				ExecutableFile:   pulumi.String("string"),
				ExecutionTimeout: pulumi.String("string"),
			},
		},
		LifecycleConfig: &dataproc.LifecycleConfigArgs{
			AutoDeleteTime: pulumi.String("string"),
			AutoDeleteTtl:  pulumi.String("string"),
			IdleDeleteTtl:  pulumi.String("string"),
		},
		MasterConfig: &dataproc.InstanceGroupConfigArgs{
			Accelerators: dataproc.AcceleratorConfigArray{
				&dataproc.AcceleratorConfigArgs{
					AcceleratorCount:   pulumi.Int(0),
					AcceleratorTypeUri: pulumi.String("string"),
				},
			},
			DiskConfig: &dataproc.DiskConfigArgs{
				BootDiskSizeGb:    pulumi.Int(0),
				BootDiskType:      pulumi.String("string"),
				LocalSsdInterface: pulumi.String("string"),
				NumLocalSsds:      pulumi.Int(0),
			},
			ImageUri: pulumi.String("string"),
			InstanceFlexibilityPolicy: &dataproc.InstanceFlexibilityPolicyArgs{
				InstanceSelectionList: dataproc.InstanceSelectionArray{
					&dataproc.InstanceSelectionArgs{
						MachineTypes: pulumi.StringArray{
							pulumi.String("string"),
						},
						Rank: pulumi.Int(0),
					},
				},
			},
			MachineTypeUri:  pulumi.String("string"),
			MinCpuPlatform:  pulumi.String("string"),
			MinNumInstances: pulumi.Int(0),
			NumInstances:    pulumi.Int(0),
			Preemptibility:  dataproc.InstanceGroupConfigPreemptibilityPreemptibilityUnspecified,
			StartupConfig: &dataproc.StartupConfigArgs{
				RequiredRegistrationFraction: pulumi.Float64(0),
			},
		},
		MetastoreConfig: &dataproc.MetastoreConfigArgs{
			DataprocMetastoreService: pulumi.String("string"),
		},
		SecondaryWorkerConfig: &dataproc.InstanceGroupConfigArgs{
			Accelerators: dataproc.AcceleratorConfigArray{
				&dataproc.AcceleratorConfigArgs{
					AcceleratorCount:   pulumi.Int(0),
					AcceleratorTypeUri: pulumi.String("string"),
				},
			},
			DiskConfig: &dataproc.DiskConfigArgs{
				BootDiskSizeGb:    pulumi.Int(0),
				BootDiskType:      pulumi.String("string"),
				LocalSsdInterface: pulumi.String("string"),
				NumLocalSsds:      pulumi.Int(0),
			},
			ImageUri: pulumi.String("string"),
			InstanceFlexibilityPolicy: &dataproc.InstanceFlexibilityPolicyArgs{
				InstanceSelectionList: dataproc.InstanceSelectionArray{
					&dataproc.InstanceSelectionArgs{
						MachineTypes: pulumi.StringArray{
							pulumi.String("string"),
						},
						Rank: pulumi.Int(0),
					},
				},
			},
			MachineTypeUri:  pulumi.String("string"),
			MinCpuPlatform:  pulumi.String("string"),
			MinNumInstances: pulumi.Int(0),
			NumInstances:    pulumi.Int(0),
			Preemptibility:  dataproc.InstanceGroupConfigPreemptibilityPreemptibilityUnspecified,
			StartupConfig: &dataproc.StartupConfigArgs{
				RequiredRegistrationFraction: pulumi.Float64(0),
			},
		},
		SecurityConfig: &dataproc.SecurityConfigArgs{
			IdentityConfig: &dataproc.IdentityConfigArgs{
				UserServiceAccountMapping: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
			},
			KerberosConfig: &dataproc.KerberosConfigArgs{
				CrossRealmTrustAdminServer:       pulumi.String("string"),
				CrossRealmTrustKdc:               pulumi.String("string"),
				CrossRealmTrustRealm:             pulumi.String("string"),
				CrossRealmTrustSharedPasswordUri: pulumi.String("string"),
				EnableKerberos:                   pulumi.Bool(false),
				KdcDbKeyUri:                      pulumi.String("string"),
				KeyPasswordUri:                   pulumi.String("string"),
				KeystorePasswordUri:              pulumi.String("string"),
				KeystoreUri:                      pulumi.String("string"),
				KmsKeyUri:                        pulumi.String("string"),
				Realm:                            pulumi.String("string"),
				RootPrincipalPasswordUri:         pulumi.String("string"),
				TgtLifetimeHours:                 pulumi.Int(0),
				TruststorePasswordUri:            pulumi.String("string"),
				TruststoreUri:                    pulumi.String("string"),
			},
		},
		SoftwareConfig: &dataproc.SoftwareConfigArgs{
			ImageVersion: pulumi.String("string"),
			OptionalComponents: dataproc.SoftwareConfigOptionalComponentsItemArray{
				dataproc.SoftwareConfigOptionalComponentsItemComponentUnspecified,
			},
			Properties: pulumi.StringMap{
				"string": pulumi.String("string"),
			},
		},
		TempBucket: pulumi.String("string"),
		WorkerConfig: &dataproc.InstanceGroupConfigArgs{
			Accelerators: dataproc.AcceleratorConfigArray{
				&dataproc.AcceleratorConfigArgs{
					AcceleratorCount:   pulumi.Int(0),
					AcceleratorTypeUri: pulumi.String("string"),
				},
			},
			DiskConfig: &dataproc.DiskConfigArgs{
				BootDiskSizeGb:    pulumi.Int(0),
				BootDiskType:      pulumi.String("string"),
				LocalSsdInterface: pulumi.String("string"),
				NumLocalSsds:      pulumi.Int(0),
			},
			ImageUri: pulumi.String("string"),
			InstanceFlexibilityPolicy: &dataproc.InstanceFlexibilityPolicyArgs{
				InstanceSelectionList: dataproc.InstanceSelectionArray{
					&dataproc.InstanceSelectionArgs{
						MachineTypes: pulumi.StringArray{
							pulumi.String("string"),
						},
						Rank: pulumi.Int(0),
					},
				},
			},
			MachineTypeUri:  pulumi.String("string"),
			MinCpuPlatform:  pulumi.String("string"),
			MinNumInstances: pulumi.Int(0),
			NumInstances:    pulumi.Int(0),
			Preemptibility:  dataproc.InstanceGroupConfigPreemptibilityPreemptibilityUnspecified,
			StartupConfig: &dataproc.StartupConfigArgs{
				RequiredRegistrationFraction: pulumi.Float64(0),
			},
		},
	},
	Labels: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Project:   pulumi.String("string"),
	RequestId: pulumi.String("string"),
	VirtualClusterConfig: &dataproc.VirtualClusterConfigArgs{
		KubernetesClusterConfig: &dataproc.KubernetesClusterConfigArgs{
			GkeClusterConfig: &dataproc.GkeClusterConfigArgs{
				GkeClusterTarget: pulumi.String("string"),
				NodePoolTarget: dataproc.GkeNodePoolTargetArray{
					&dataproc.GkeNodePoolTargetArgs{
						NodePool: pulumi.String("string"),
						Roles: dataproc.GkeNodePoolTargetRolesItemArray{
							dataproc.GkeNodePoolTargetRolesItemRoleUnspecified,
						},
						NodePoolConfig: &dataproc.GkeNodePoolConfigArgs{
							Autoscaling: &dataproc.GkeNodePoolAutoscalingConfigArgs{
								MaxNodeCount: pulumi.Int(0),
								MinNodeCount: pulumi.Int(0),
							},
							Config: &dataproc.GkeNodeConfigArgs{
								Accelerators: dataproc.GkeNodePoolAcceleratorConfigArray{
									&dataproc.GkeNodePoolAcceleratorConfigArgs{
										AcceleratorCount: pulumi.String("string"),
										AcceleratorType:  pulumi.String("string"),
										GpuPartitionSize: pulumi.String("string"),
									},
								},
								BootDiskKmsKey: pulumi.String("string"),
								LocalSsdCount:  pulumi.Int(0),
								MachineType:    pulumi.String("string"),
								MinCpuPlatform: pulumi.String("string"),
								Preemptible:    pulumi.Bool(false),
								Spot:           pulumi.Bool(false),
							},
							Locations: pulumi.StringArray{
								pulumi.String("string"),
							},
						},
					},
				},
			},
			KubernetesNamespace: pulumi.String("string"),
			KubernetesSoftwareConfig: &dataproc.KubernetesSoftwareConfigArgs{
				ComponentVersion: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
				Properties: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
			},
		},
		AuxiliaryServicesConfig: &dataproc.AuxiliaryServicesConfigArgs{
			MetastoreConfig: &dataproc.MetastoreConfigArgs{
				DataprocMetastoreService: pulumi.String("string"),
			},
			SparkHistoryServerConfig: &dataproc.SparkHistoryServerConfigArgs{
				DataprocCluster: pulumi.String("string"),
			},
		},
		StagingBucket: pulumi.String("string"),
	},
})

    var exampleclusterResourceResourceFromDataprocv1 = new com.pulumi.googlenative.dataproc_v1.Cluster("exampleclusterResourceResourceFromDataprocv1", com.pulumi.googlenative.dataproc_v1.ClusterArgs.builder()
    .clusterName("string")
    .region("string")
    .actionOnFailedPrimaryWorkers("string")
    .config(ClusterConfigArgs.builder()
        .autoscalingConfig(AutoscalingConfigArgs.builder()
            .policyUri("string")
            .build())
        .auxiliaryNodeGroups(AuxiliaryNodeGroupArgs.builder()
            .nodeGroup(NodeGroupArgs.builder()
                .roles("ROLE_UNSPECIFIED")
                .labels(Map.of("string", "string"))
                .name("string")
                .nodeGroupConfig(InstanceGroupConfigArgs.builder()
                    .accelerators(AcceleratorConfigArgs.builder()
                        .acceleratorCount(0)
                        .acceleratorTypeUri("string")
                        .build())
                    .diskConfig(DiskConfigArgs.builder()
                        .bootDiskSizeGb(0)
                        .bootDiskType("string")
                        .localSsdInterface("string")
                        .numLocalSsds(0)
                        .build())
                    .imageUri("string")
                    .instanceFlexibilityPolicy(InstanceFlexibilityPolicyArgs.builder()
                        .instanceSelectionList(InstanceSelectionArgs.builder()
                            .machineTypes("string")
                            .rank(0)
                            .build())
                        .build())
                    .machineTypeUri("string")
                    .minCpuPlatform("string")
                    .minNumInstances(0)
                    .numInstances(0)
                    .preemptibility("PREEMPTIBILITY_UNSPECIFIED")
                    .startupConfig(StartupConfigArgs.builder()
                        .requiredRegistrationFraction(0.0)
                        .build())
                    .build())
                .build())
            .nodeGroupId("string")
            .build())
        .configBucket("string")
        .dataprocMetricConfig(DataprocMetricConfigArgs.builder()
            .metrics(MetricArgs.builder()
                .metricSource("METRIC_SOURCE_UNSPECIFIED")
                .metricOverrides("string")
                .build())
            .build())
        .encryptionConfig(EncryptionConfigArgs.builder()
            .gcePdKmsKeyName("string")
            .kmsKey("string")
            .build())
        .endpointConfig(EndpointConfigArgs.builder()
            .enableHttpPortAccess(false)
            .build())
        .gceClusterConfig(GceClusterConfigArgs.builder()
            .confidentialInstanceConfig(ConfidentialInstanceConfigArgs.builder()
                .enableConfidentialCompute(false)
                .build())
            .internalIpOnly(false)
            .metadata(Map.of("string", "string"))
            .networkUri("string")
            .nodeGroupAffinity(NodeGroupAffinityArgs.builder()
                .nodeGroupUri("string")
                .build())
            .privateIpv6GoogleAccess("PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED")
            .reservationAffinity(ReservationAffinityArgs.builder()
                .consumeReservationType("TYPE_UNSPECIFIED")
                .key("string")
                .values("string")
                .build())
            .serviceAccount("string")
            .serviceAccountScopes("string")
            .shieldedInstanceConfig(ShieldedInstanceConfigArgs.builder()
                .enableIntegrityMonitoring(false)
                .enableSecureBoot(false)
                .enableVtpm(false)
                .build())
            .subnetworkUri("string")
            .tags("string")
            .zoneUri("string")
            .build())
        .gkeClusterConfig(GkeClusterConfigArgs.builder()
            .gkeClusterTarget("string")
            .nodePoolTarget(GkeNodePoolTargetArgs.builder()
                .nodePool("string")
                .roles("ROLE_UNSPECIFIED")
                .nodePoolConfig(GkeNodePoolConfigArgs.builder()
                    .autoscaling(GkeNodePoolAutoscalingConfigArgs.builder()
                        .maxNodeCount(0)
                        .minNodeCount(0)
                        .build())
                    .config(GkeNodeConfigArgs.builder()
                        .accelerators(GkeNodePoolAcceleratorConfigArgs.builder()
                            .acceleratorCount("string")
                            .acceleratorType("string")
                            .gpuPartitionSize("string")
                            .build())
                        .bootDiskKmsKey("string")
                        .localSsdCount(0)
                        .machineType("string")
                        .minCpuPlatform("string")
                        .preemptible(false)
                        .spot(false)
                        .build())
                    .locations("string")
                    .build())
                .build())
            .build())
        .initializationActions(NodeInitializationActionArgs.builder()
            .executableFile("string")
            .executionTimeout("string")
            .build())
        .lifecycleConfig(LifecycleConfigArgs.builder()
            .autoDeleteTime("string")
            .autoDeleteTtl("string")
            .idleDeleteTtl("string")
            .build())
        .masterConfig(InstanceGroupConfigArgs.builder()
            .accelerators(AcceleratorConfigArgs.builder()
                .acceleratorCount(0)
                .acceleratorTypeUri("string")
                .build())
            .diskConfig(DiskConfigArgs.builder()
                .bootDiskSizeGb(0)
                .bootDiskType("string")
                .localSsdInterface("string")
                .numLocalSsds(0)
                .build())
            .imageUri("string")
            .instanceFlexibilityPolicy(InstanceFlexibilityPolicyArgs.builder()
                .instanceSelectionList(InstanceSelectionArgs.builder()
                    .machineTypes("string")
                    .rank(0)
                    .build())
                .build())
            .machineTypeUri("string")
            .minCpuPlatform("string")
            .minNumInstances(0)
            .numInstances(0)
            .preemptibility("PREEMPTIBILITY_UNSPECIFIED")
            .startupConfig(StartupConfigArgs.builder()
                .requiredRegistrationFraction(0.0)
                .build())
            .build())
        .metastoreConfig(MetastoreConfigArgs.builder()
            .dataprocMetastoreService("string")
            .build())
        .secondaryWorkerConfig(InstanceGroupConfigArgs.builder()
            .accelerators(AcceleratorConfigArgs.builder()
                .acceleratorCount(0)
                .acceleratorTypeUri("string")
                .build())
            .diskConfig(DiskConfigArgs.builder()
                .bootDiskSizeGb(0)
                .bootDiskType("string")
                .localSsdInterface("string")
                .numLocalSsds(0)
                .build())
            .imageUri("string")
            .instanceFlexibilityPolicy(InstanceFlexibilityPolicyArgs.builder()
                .instanceSelectionList(InstanceSelectionArgs.builder()
                    .machineTypes("string")
                    .rank(0)
                    .build())
                .build())
            .machineTypeUri("string")
            .minCpuPlatform("string")
            .minNumInstances(0)
            .numInstances(0)
            .preemptibility("PREEMPTIBILITY_UNSPECIFIED")
            .startupConfig(StartupConfigArgs.builder()
                .requiredRegistrationFraction(0.0)
                .build())
            .build())
        .securityConfig(SecurityConfigArgs.builder()
            .identityConfig(IdentityConfigArgs.builder()
                .userServiceAccountMapping(Map.of("string", "string"))
                .build())
            .kerberosConfig(KerberosConfigArgs.builder()
                .crossRealmTrustAdminServer("string")
                .crossRealmTrustKdc("string")
                .crossRealmTrustRealm("string")
                .crossRealmTrustSharedPasswordUri("string")
                .enableKerberos(false)
                .kdcDbKeyUri("string")
                .keyPasswordUri("string")
                .keystorePasswordUri("string")
                .keystoreUri("string")
                .kmsKeyUri("string")
                .realm("string")
                .rootPrincipalPasswordUri("string")
                .tgtLifetimeHours(0)
                .truststorePasswordUri("string")
                .truststoreUri("string")
                .build())
            .build())
        .softwareConfig(SoftwareConfigArgs.builder()
            .imageVersion("string")
            .optionalComponents("COMPONENT_UNSPECIFIED")
            .properties(Map.of("string", "string"))
            .build())
        .tempBucket("string")
        .workerConfig(InstanceGroupConfigArgs.builder()
            .accelerators(AcceleratorConfigArgs.builder()
                .acceleratorCount(0)
                .acceleratorTypeUri("string")
                .build())
            .diskConfig(DiskConfigArgs.builder()
                .bootDiskSizeGb(0)
                .bootDiskType("string")
                .localSsdInterface("string")
                .numLocalSsds(0)
                .build())
            .imageUri("string")
            .instanceFlexibilityPolicy(InstanceFlexibilityPolicyArgs.builder()
                .instanceSelectionList(InstanceSelectionArgs.builder()
                    .machineTypes("string")
                    .rank(0)
                    .build())
                .build())
            .machineTypeUri("string")
            .minCpuPlatform("string")
            .minNumInstances(0)
            .numInstances(0)
            .preemptibility("PREEMPTIBILITY_UNSPECIFIED")
            .startupConfig(StartupConfigArgs.builder()
                .requiredRegistrationFraction(0.0)
                .build())
            .build())
        .build())
    .labels(Map.of("string", "string"))
    .project("string")
    .requestId("string")
    .virtualClusterConfig(VirtualClusterConfigArgs.builder()
        .kubernetesClusterConfig(KubernetesClusterConfigArgs.builder()
            .gkeClusterConfig(GkeClusterConfigArgs.builder()
                .gkeClusterTarget("string")
                .nodePoolTarget(GkeNodePoolTargetArgs.builder()
                    .nodePool("string")
                    .roles("ROLE_UNSPECIFIED")
                    .nodePoolConfig(GkeNodePoolConfigArgs.builder()
                        .autoscaling(GkeNodePoolAutoscalingConfigArgs.builder()
                            .maxNodeCount(0)
                            .minNodeCount(0)
                            .build())
                        .config(GkeNodeConfigArgs.builder()
                            .accelerators(GkeNodePoolAcceleratorConfigArgs.builder()
                                .acceleratorCount("string")
                                .acceleratorType("string")
                                .gpuPartitionSize("string")
                                .build())
                            .bootDiskKmsKey("string")
                            .localSsdCount(0)
                            .machineType("string")
                            .minCpuPlatform("string")
                            .preemptible(false)
                            .spot(false)
                            .build())
                        .locations("string")
                        .build())
                    .build())
                .build())
            .kubernetesNamespace("string")
            .kubernetesSoftwareConfig(KubernetesSoftwareConfigArgs.builder()
                .componentVersion(Map.of("string", "string"))
                .properties(Map.of("string", "string"))
                .build())
            .build())
        .auxiliaryServicesConfig(AuxiliaryServicesConfigArgs.builder()
            .metastoreConfig(MetastoreConfigArgs.builder()
                .dataprocMetastoreService("string")
                .build())
            .sparkHistoryServerConfig(SparkHistoryServerConfigArgs.builder()
                .dataprocCluster("string")
                .build())
            .build())
        .stagingBucket("string")
        .build())
    .build());

    examplecluster_resource_resource_from_dataprocv1 = google_native.dataproc.v1.Cluster("exampleclusterResourceResourceFromDataprocv1",
    cluster_name="string",
    region="string",
    action_on_failed_primary_workers="string",
    config={
        "autoscaling_config": {
            "policy_uri": "string",
        },
        "auxiliary_node_groups": [{
            "node_group": {
                "roles": [google_native.dataproc.v1.NodeGroupRolesItem.ROLE_UNSPECIFIED],
                "labels": {
                    "string": "string",
                },
                "name": "string",
                "node_group_config": {
                    "accelerators": [{
                        "accelerator_count": 0,
                        "accelerator_type_uri": "string",
                    }],
                    "disk_config": {
                        "boot_disk_size_gb": 0,
                        "boot_disk_type": "string",
                        "local_ssd_interface": "string",
                        "num_local_ssds": 0,
                    },
                    "image_uri": "string",
                    "instance_flexibility_policy": {
                        "instance_selection_list": [{
                            "machine_types": ["string"],
                            "rank": 0,
                        }],
                    },
                    "machine_type_uri": "string",
                    "min_cpu_platform": "string",
                    "min_num_instances": 0,
                    "num_instances": 0,
                    "preemptibility": google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PREEMPTIBILITY_UNSPECIFIED,
                    "startup_config": {
                        "required_registration_fraction": 0,
                    },
                },
            },
            "node_group_id": "string",
        }],
        "config_bucket": "string",
        "dataproc_metric_config": {
            "metrics": [{
                "metric_source": google_native.dataproc.v1.MetricMetricSource.METRIC_SOURCE_UNSPECIFIED,
                "metric_overrides": ["string"],
            }],
        },
        "encryption_config": {
            "gce_pd_kms_key_name": "string",
            "kms_key": "string",
        },
        "endpoint_config": {
            "enable_http_port_access": False,
        },
        "gce_cluster_config": {
            "confidential_instance_config": {
                "enable_confidential_compute": False,
            },
            "internal_ip_only": False,
            "metadata": {
                "string": "string",
            },
            "network_uri": "string",
            "node_group_affinity": {
                "node_group_uri": "string",
            },
            "private_ipv6_google_access": google_native.dataproc.v1.GceClusterConfigPrivateIpv6GoogleAccess.PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED,
            "reservation_affinity": {
                "consume_reservation_type": google_native.dataproc.v1.ReservationAffinityConsumeReservationType.TYPE_UNSPECIFIED,
                "key": "string",
                "values": ["string"],
            },
            "service_account": "string",
            "service_account_scopes": ["string"],
            "shielded_instance_config": {
                "enable_integrity_monitoring": False,
                "enable_secure_boot": False,
                "enable_vtpm": False,
            },
            "subnetwork_uri": "string",
            "tags": ["string"],
            "zone_uri": "string",
        },
        "gke_cluster_config": {
            "gke_cluster_target": "string",
            "node_pool_target": [{
                "node_pool": "string",
                "roles": [google_native.dataproc.v1.GkeNodePoolTargetRolesItem.ROLE_UNSPECIFIED],
                "node_pool_config": {
                    "autoscaling": {
                        "max_node_count": 0,
                        "min_node_count": 0,
                    },
                    "config": {
                        "accelerators": [{
                            "accelerator_count": "string",
                            "accelerator_type": "string",
                            "gpu_partition_size": "string",
                        }],
                        "boot_disk_kms_key": "string",
                        "local_ssd_count": 0,
                        "machine_type": "string",
                        "min_cpu_platform": "string",
                        "preemptible": False,
                        "spot": False,
                    },
                    "locations": ["string"],
                },
            }],
        },
        "initialization_actions": [{
            "executable_file": "string",
            "execution_timeout": "string",
        }],
        "lifecycle_config": {
            "auto_delete_time": "string",
            "auto_delete_ttl": "string",
            "idle_delete_ttl": "string",
        },
        "master_config": {
            "accelerators": [{
                "accelerator_count": 0,
                "accelerator_type_uri": "string",
            }],
            "disk_config": {
                "boot_disk_size_gb": 0,
                "boot_disk_type": "string",
                "local_ssd_interface": "string",
                "num_local_ssds": 0,
            },
            "image_uri": "string",
            "instance_flexibility_policy": {
                "instance_selection_list": [{
                    "machine_types": ["string"],
                    "rank": 0,
                }],
            },
            "machine_type_uri": "string",
            "min_cpu_platform": "string",
            "min_num_instances": 0,
            "num_instances": 0,
            "preemptibility": google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PREEMPTIBILITY_UNSPECIFIED,
            "startup_config": {
                "required_registration_fraction": 0,
            },
        },
        "metastore_config": {
            "dataproc_metastore_service": "string",
        },
        "secondary_worker_config": {
            "accelerators": [{
                "accelerator_count": 0,
                "accelerator_type_uri": "string",
            }],
            "disk_config": {
                "boot_disk_size_gb": 0,
                "boot_disk_type": "string",
                "local_ssd_interface": "string",
                "num_local_ssds": 0,
            },
            "image_uri": "string",
            "instance_flexibility_policy": {
                "instance_selection_list": [{
                    "machine_types": ["string"],
                    "rank": 0,
                }],
            },
            "machine_type_uri": "string",
            "min_cpu_platform": "string",
            "min_num_instances": 0,
            "num_instances": 0,
            "preemptibility": google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PREEMPTIBILITY_UNSPECIFIED,
            "startup_config": {
                "required_registration_fraction": 0,
            },
        },
        "security_config": {
            "identity_config": {
                "user_service_account_mapping": {
                    "string": "string",
                },
            },
            "kerberos_config": {
                "cross_realm_trust_admin_server": "string",
                "cross_realm_trust_kdc": "string",
                "cross_realm_trust_realm": "string",
                "cross_realm_trust_shared_password_uri": "string",
                "enable_kerberos": False,
                "kdc_db_key_uri": "string",
                "key_password_uri": "string",
                "keystore_password_uri": "string",
                "keystore_uri": "string",
                "kms_key_uri": "string",
                "realm": "string",
                "root_principal_password_uri": "string",
                "tgt_lifetime_hours": 0,
                "truststore_password_uri": "string",
                "truststore_uri": "string",
            },
        },
        "software_config": {
            "image_version": "string",
            "optional_components": [google_native.dataproc.v1.SoftwareConfigOptionalComponentsItem.COMPONENT_UNSPECIFIED],
            "properties": {
                "string": "string",
            },
        },
        "temp_bucket": "string",
        "worker_config": {
            "accelerators": [{
                "accelerator_count": 0,
                "accelerator_type_uri": "string",
            }],
            "disk_config": {
                "boot_disk_size_gb": 0,
                "boot_disk_type": "string",
                "local_ssd_interface": "string",
                "num_local_ssds": 0,
            },
            "image_uri": "string",
            "instance_flexibility_policy": {
                "instance_selection_list": [{
                    "machine_types": ["string"],
                    "rank": 0,
                }],
            },
            "machine_type_uri": "string",
            "min_cpu_platform": "string",
            "min_num_instances": 0,
            "num_instances": 0,
            "preemptibility": google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PREEMPTIBILITY_UNSPECIFIED,
            "startup_config": {
                "required_registration_fraction": 0,
            },
        },
    },
    labels={
        "string": "string",
    },
    project="string",
    request_id="string",
    virtual_cluster_config={
        "kubernetes_cluster_config": {
            "gke_cluster_config": {
                "gke_cluster_target": "string",
                "node_pool_target": [{
                    "node_pool": "string",
                    "roles": [google_native.dataproc.v1.GkeNodePoolTargetRolesItem.ROLE_UNSPECIFIED],
                    "node_pool_config": {
                        "autoscaling": {
                            "max_node_count": 0,
                            "min_node_count": 0,
                        },
                        "config": {
                            "accelerators": [{
                                "accelerator_count": "string",
                                "accelerator_type": "string",
                                "gpu_partition_size": "string",
                            }],
                            "boot_disk_kms_key": "string",
                            "local_ssd_count": 0,
                            "machine_type": "string",
                            "min_cpu_platform": "string",
                            "preemptible": False,
                            "spot": False,
                        },
                        "locations": ["string"],
                    },
                }],
            },
            "kubernetes_namespace": "string",
            "kubernetes_software_config": {
                "component_version": {
                    "string": "string",
                },
                "properties": {
                    "string": "string",
                },
            },
        },
        "auxiliary_services_config": {
            "metastore_config": {
                "dataproc_metastore_service": "string",
            },
            "spark_history_server_config": {
                "dataproc_cluster": "string",
            },
        },
        "staging_bucket": "string",
    })

    const exampleclusterResourceResourceFromDataprocv1 = new google_native.dataproc.v1.Cluster("exampleclusterResourceResourceFromDataprocv1", {
    clusterName: "string",
    region: "string",
    actionOnFailedPrimaryWorkers: "string",
    config: {
        autoscalingConfig: {
            policyUri: "string",
        },
        auxiliaryNodeGroups: [{
            nodeGroup: {
                roles: [google_native.dataproc.v1.NodeGroupRolesItem.RoleUnspecified],
                labels: {
                    string: "string",
                },
                name: "string",
                nodeGroupConfig: {
                    accelerators: [{
                        acceleratorCount: 0,
                        acceleratorTypeUri: "string",
                    }],
                    diskConfig: {
                        bootDiskSizeGb: 0,
                        bootDiskType: "string",
                        localSsdInterface: "string",
                        numLocalSsds: 0,
                    },
                    imageUri: "string",
                    instanceFlexibilityPolicy: {
                        instanceSelectionList: [{
                            machineTypes: ["string"],
                            rank: 0,
                        }],
                    },
                    machineTypeUri: "string",
                    minCpuPlatform: "string",
                    minNumInstances: 0,
                    numInstances: 0,
                    preemptibility: google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
                    startupConfig: {
                        requiredRegistrationFraction: 0,
                    },
                },
            },
            nodeGroupId: "string",
        }],
        configBucket: "string",
        dataprocMetricConfig: {
            metrics: [{
                metricSource: google_native.dataproc.v1.MetricMetricSource.MetricSourceUnspecified,
                metricOverrides: ["string"],
            }],
        },
        encryptionConfig: {
            gcePdKmsKeyName: "string",
            kmsKey: "string",
        },
        endpointConfig: {
            enableHttpPortAccess: false,
        },
        gceClusterConfig: {
            confidentialInstanceConfig: {
                enableConfidentialCompute: false,
            },
            internalIpOnly: false,
            metadata: {
                string: "string",
            },
            networkUri: "string",
            nodeGroupAffinity: {
                nodeGroupUri: "string",
            },
            privateIpv6GoogleAccess: google_native.dataproc.v1.GceClusterConfigPrivateIpv6GoogleAccess.PrivateIpv6GoogleAccessUnspecified,
            reservationAffinity: {
                consumeReservationType: google_native.dataproc.v1.ReservationAffinityConsumeReservationType.TypeUnspecified,
                key: "string",
                values: ["string"],
            },
            serviceAccount: "string",
            serviceAccountScopes: ["string"],
            shieldedInstanceConfig: {
                enableIntegrityMonitoring: false,
                enableSecureBoot: false,
                enableVtpm: false,
            },
            subnetworkUri: "string",
            tags: ["string"],
            zoneUri: "string",
        },
        gkeClusterConfig: {
            gkeClusterTarget: "string",
            nodePoolTarget: [{
                nodePool: "string",
                roles: [google_native.dataproc.v1.GkeNodePoolTargetRolesItem.RoleUnspecified],
                nodePoolConfig: {
                    autoscaling: {
                        maxNodeCount: 0,
                        minNodeCount: 0,
                    },
                    config: {
                        accelerators: [{
                            acceleratorCount: "string",
                            acceleratorType: "string",
                            gpuPartitionSize: "string",
                        }],
                        bootDiskKmsKey: "string",
                        localSsdCount: 0,
                        machineType: "string",
                        minCpuPlatform: "string",
                        preemptible: false,
                        spot: false,
                    },
                    locations: ["string"],
                },
            }],
        },
        initializationActions: [{
            executableFile: "string",
            executionTimeout: "string",
        }],
        lifecycleConfig: {
            autoDeleteTime: "string",
            autoDeleteTtl: "string",
            idleDeleteTtl: "string",
        },
        masterConfig: {
            accelerators: [{
                acceleratorCount: 0,
                acceleratorTypeUri: "string",
            }],
            diskConfig: {
                bootDiskSizeGb: 0,
                bootDiskType: "string",
                localSsdInterface: "string",
                numLocalSsds: 0,
            },
            imageUri: "string",
            instanceFlexibilityPolicy: {
                instanceSelectionList: [{
                    machineTypes: ["string"],
                    rank: 0,
                }],
            },
            machineTypeUri: "string",
            minCpuPlatform: "string",
            minNumInstances: 0,
            numInstances: 0,
            preemptibility: google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
            startupConfig: {
                requiredRegistrationFraction: 0,
            },
        },
        metastoreConfig: {
            dataprocMetastoreService: "string",
        },
        secondaryWorkerConfig: {
            accelerators: [{
                acceleratorCount: 0,
                acceleratorTypeUri: "string",
            }],
            diskConfig: {
                bootDiskSizeGb: 0,
                bootDiskType: "string",
                localSsdInterface: "string",
                numLocalSsds: 0,
            },
            imageUri: "string",
            instanceFlexibilityPolicy: {
                instanceSelectionList: [{
                    machineTypes: ["string"],
                    rank: 0,
                }],
            },
            machineTypeUri: "string",
            minCpuPlatform: "string",
            minNumInstances: 0,
            numInstances: 0,
            preemptibility: google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
            startupConfig: {
                requiredRegistrationFraction: 0,
            },
        },
        securityConfig: {
            identityConfig: {
                userServiceAccountMapping: {
                    string: "string",
                },
            },
            kerberosConfig: {
                crossRealmTrustAdminServer: "string",
                crossRealmTrustKdc: "string",
                crossRealmTrustRealm: "string",
                crossRealmTrustSharedPasswordUri: "string",
                enableKerberos: false,
                kdcDbKeyUri: "string",
                keyPasswordUri: "string",
                keystorePasswordUri: "string",
                keystoreUri: "string",
                kmsKeyUri: "string",
                realm: "string",
                rootPrincipalPasswordUri: "string",
                tgtLifetimeHours: 0,
                truststorePasswordUri: "string",
                truststoreUri: "string",
            },
        },
        softwareConfig: {
            imageVersion: "string",
            optionalComponents: [google_native.dataproc.v1.SoftwareConfigOptionalComponentsItem.ComponentUnspecified],
            properties: {
                string: "string",
            },
        },
        tempBucket: "string",
        workerConfig: {
            accelerators: [{
                acceleratorCount: 0,
                acceleratorTypeUri: "string",
            }],
            diskConfig: {
                bootDiskSizeGb: 0,
                bootDiskType: "string",
                localSsdInterface: "string",
                numLocalSsds: 0,
            },
            imageUri: "string",
            instanceFlexibilityPolicy: {
                instanceSelectionList: [{
                    machineTypes: ["string"],
                    rank: 0,
                }],
            },
            machineTypeUri: "string",
            minCpuPlatform: "string",
            minNumInstances: 0,
            numInstances: 0,
            preemptibility: google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
            startupConfig: {
                requiredRegistrationFraction: 0,
            },
        },
    },
    labels: {
        string: "string",
    },
    project: "string",
    requestId: "string",
    virtualClusterConfig: {
        kubernetesClusterConfig: {
            gkeClusterConfig: {
                gkeClusterTarget: "string",
                nodePoolTarget: [{
                    nodePool: "string",
                    roles: [google_native.dataproc.v1.GkeNodePoolTargetRolesItem.RoleUnspecified],
                    nodePoolConfig: {
                        autoscaling: {
                            maxNodeCount: 0,
                            minNodeCount: 0,
                        },
                        config: {
                            accelerators: [{
                                acceleratorCount: "string",
                                acceleratorType: "string",
                                gpuPartitionSize: "string",
                            }],
                            bootDiskKmsKey: "string",
                            localSsdCount: 0,
                            machineType: "string",
                            minCpuPlatform: "string",
                            preemptible: false,
                            spot: false,
                        },
                        locations: ["string"],
                    },
                }],
            },
            kubernetesNamespace: "string",
            kubernetesSoftwareConfig: {
                componentVersion: {
                    string: "string",
                },
                properties: {
                    string: "string",
                },
            },
        },
        auxiliaryServicesConfig: {
            metastoreConfig: {
                dataprocMetastoreService: "string",
            },
            sparkHistoryServerConfig: {
                dataprocCluster: "string",
            },
        },
        stagingBucket: "string",
    },
});

    type: google-native:dataproc/v1:Cluster
properties:
    actionOnFailedPrimaryWorkers: string
    clusterName: string
    config:
        autoscalingConfig:
            policyUri: string
        auxiliaryNodeGroups:
            - nodeGroup:
                labels:
                    string: string
                name: string
                nodeGroupConfig:
                    accelerators:
                        - acceleratorCount: 0
                          acceleratorTypeUri: string
                    diskConfig:
                        bootDiskSizeGb: 0
                        bootDiskType: string
                        localSsdInterface: string
                        numLocalSsds: 0
                    imageUri: string
                    instanceFlexibilityPolicy:
                        instanceSelectionList:
                            - machineTypes:
                                - string
                              rank: 0
                    machineTypeUri: string
                    minCpuPlatform: string
                    minNumInstances: 0
                    numInstances: 0
                    preemptibility: PREEMPTIBILITY_UNSPECIFIED
                    startupConfig:
                        requiredRegistrationFraction: 0
                roles:
                    - ROLE_UNSPECIFIED
              nodeGroupId: string
        configBucket: string
        dataprocMetricConfig:
            metrics:
                - metricOverrides:
                    - string
                  metricSource: METRIC_SOURCE_UNSPECIFIED
        encryptionConfig:
            gcePdKmsKeyName: string
            kmsKey: string
        endpointConfig:
            enableHttpPortAccess: false
        gceClusterConfig:
            confidentialInstanceConfig:
                enableConfidentialCompute: false
            internalIpOnly: false
            metadata:
                string: string
            networkUri: string
            nodeGroupAffinity:
                nodeGroupUri: string
            privateIpv6GoogleAccess: PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED
            reservationAffinity:
                consumeReservationType: TYPE_UNSPECIFIED
                key: string
                values:
                    - string
            serviceAccount: string
            serviceAccountScopes:
                - string
            shieldedInstanceConfig:
                enableIntegrityMonitoring: false
                enableSecureBoot: false
                enableVtpm: false
            subnetworkUri: string
            tags:
                - string
            zoneUri: string
        gkeClusterConfig:
            gkeClusterTarget: string
            nodePoolTarget:
                - nodePool: string
                  nodePoolConfig:
                    autoscaling:
                        maxNodeCount: 0
                        minNodeCount: 0
                    config:
                        accelerators:
                            - acceleratorCount: string
                              acceleratorType: string
                              gpuPartitionSize: string
                        bootDiskKmsKey: string
                        localSsdCount: 0
                        machineType: string
                        minCpuPlatform: string
                        preemptible: false
                        spot: false
                    locations:
                        - string
                  roles:
                    - ROLE_UNSPECIFIED
        initializationActions:
            - executableFile: string
              executionTimeout: string
        lifecycleConfig:
            autoDeleteTime: string
            autoDeleteTtl: string
            idleDeleteTtl: string
        masterConfig:
            accelerators:
                - acceleratorCount: 0
                  acceleratorTypeUri: string
            diskConfig:
                bootDiskSizeGb: 0
                bootDiskType: string
                localSsdInterface: string
                numLocalSsds: 0
            imageUri: string
            instanceFlexibilityPolicy:
                instanceSelectionList:
                    - machineTypes:
                        - string
                      rank: 0
            machineTypeUri: string
            minCpuPlatform: string
            minNumInstances: 0
            numInstances: 0
            preemptibility: PREEMPTIBILITY_UNSPECIFIED
            startupConfig:
                requiredRegistrationFraction: 0
        metastoreConfig:
            dataprocMetastoreService: string
        secondaryWorkerConfig:
            accelerators:
                - acceleratorCount: 0
                  acceleratorTypeUri: string
            diskConfig:
                bootDiskSizeGb: 0
                bootDiskType: string
                localSsdInterface: string
                numLocalSsds: 0
            imageUri: string
            instanceFlexibilityPolicy:
                instanceSelectionList:
                    - machineTypes:
                        - string
                      rank: 0
            machineTypeUri: string
            minCpuPlatform: string
            minNumInstances: 0
            numInstances: 0
            preemptibility: PREEMPTIBILITY_UNSPECIFIED
            startupConfig:
                requiredRegistrationFraction: 0
        securityConfig:
            identityConfig:
                userServiceAccountMapping:
                    string: string
            kerberosConfig:
                crossRealmTrustAdminServer: string
                crossRealmTrustKdc: string
                crossRealmTrustRealm: string
                crossRealmTrustSharedPasswordUri: string
                enableKerberos: false
                kdcDbKeyUri: string
                keyPasswordUri: string
                keystorePasswordUri: string
                keystoreUri: string
                kmsKeyUri: string
                realm: string
                rootPrincipalPasswordUri: string
                tgtLifetimeHours: 0
                truststorePasswordUri: string
                truststoreUri: string
        softwareConfig:
            imageVersion: string
            optionalComponents:
                - COMPONENT_UNSPECIFIED
            properties:
                string: string
        tempBucket: string
        workerConfig:
            accelerators:
                - acceleratorCount: 0
                  acceleratorTypeUri: string
            diskConfig:
                bootDiskSizeGb: 0
                bootDiskType: string
                localSsdInterface: string
                numLocalSsds: 0
            imageUri: string
            instanceFlexibilityPolicy:
                instanceSelectionList:
                    - machineTypes:
                        - string
                      rank: 0
            machineTypeUri: string
            minCpuPlatform: string
            minNumInstances: 0
            numInstances: 0
            preemptibility: PREEMPTIBILITY_UNSPECIFIED
            startupConfig:
                requiredRegistrationFraction: 0
    labels:
        string: string
    project: string
    region: string
    requestId: string
    virtualClusterConfig:
        auxiliaryServicesConfig:
            metastoreConfig:
                dataprocMetastoreService: string
            sparkHistoryServerConfig:
                dataprocCluster: string
        kubernetesClusterConfig:
            gkeClusterConfig:
                gkeClusterTarget: string
                nodePoolTarget:
                    - nodePool: string
                      nodePoolConfig:
                        autoscaling:
                            maxNodeCount: 0
                            minNodeCount: 0
                        config:
                            accelerators:
                                - acceleratorCount: string
                                  acceleratorType: string
                                  gpuPartitionSize: string
                            bootDiskKmsKey: string
                            localSsdCount: 0
                            machineType: string
                            minCpuPlatform: string
                            preemptible: false
                            spot: false
                        locations:
                            - string
                      roles:
                        - ROLE_UNSPECIFIED
            kubernetesNamespace: string
            kubernetesSoftwareConfig:
                componentVersion:
                    string: string
                properties:
                    string: string
        stagingBucket: string

    Cluster Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The Cluster resource accepts the following input properties:

    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.
    Region string
    ActionOnFailedPrimaryWorkers string
    Optional. Failure action when primary worker creation fails.
    Config Pulumi.GoogleNative.Dataproc.V1.Inputs.ClusterConfig
    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.
    Project string
    The Google Cloud Platform project ID that the cluster belongs to.
    RequestId string
    Optional. A unique ID used to identify the request. If the server receives two CreateClusterRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateClusterRequest)s with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.It is recommended to always set this value to a UUID (https://en.wikipedia.org/wiki/Universally_unique_identifier).The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.
    VirtualClusterConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.VirtualClusterConfig
    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.
    Region string
    ActionOnFailedPrimaryWorkers string
    Optional. Failure action when primary worker creation fails.
    Config ClusterConfigArgs
    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.
    Project string
    The Google Cloud Platform project ID that the cluster belongs to.
    RequestId string
    Optional. A unique ID used to identify the request. If the server receives two CreateClusterRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateClusterRequest)s with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.It is recommended to always set this value to a UUID (https://en.wikipedia.org/wiki/Universally_unique_identifier).The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.
    VirtualClusterConfig VirtualClusterConfigArgs
    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.
    region String
    actionOnFailedPrimaryWorkers String
    Optional. Failure action when primary worker creation fails.
    config ClusterConfig
    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.
    project String
    The Google Cloud Platform project ID that the cluster belongs to.
    requestId String
    Optional. A unique ID used to identify the request. If the server receives two CreateClusterRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateClusterRequest)s with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.It is recommended to always set this value to a UUID (https://en.wikipedia.org/wiki/Universally_unique_identifier).The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.
    virtualClusterConfig VirtualClusterConfig
    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.
    region string
    actionOnFailedPrimaryWorkers string
    Optional. Failure action when primary worker creation fails.
    config ClusterConfig
    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.
    project string
    The Google Cloud Platform project ID that the cluster belongs to.
    requestId string
    Optional. A unique ID used to identify the request. If the server receives two CreateClusterRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateClusterRequest)s with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.It is recommended to always set this value to a UUID (https://en.wikipedia.org/wiki/Universally_unique_identifier).The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.
    virtualClusterConfig VirtualClusterConfig
    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.
    region str
    action_on_failed_primary_workers str
    Optional. Failure action when primary worker creation fails.
    config ClusterConfigArgs
    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.
    project str
    The Google Cloud Platform project ID that the cluster belongs to.
    request_id str
    Optional. A unique ID used to identify the request. If the server receives two CreateClusterRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateClusterRequest)s with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.It is recommended to always set this value to a UUID (https://en.wikipedia.org/wiki/Universally_unique_identifier).The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.
    virtual_cluster_config VirtualClusterConfigArgs
    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.
    region String
    actionOnFailedPrimaryWorkers String
    Optional. Failure action when primary worker creation fails.
    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.
    project String
    The Google Cloud Platform project ID that the cluster belongs to.
    requestId String
    Optional. A unique ID used to identify the request. If the server receives two CreateClusterRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateClusterRequest)s with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.It is recommended to always set this value to a UUID (https://en.wikipedia.org/wiki/Universally_unique_identifier).The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.
    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.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the Cluster resource produces the following output properties:

    ClusterUuid string
    A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
    Id string
    The provider-assigned unique ID for this managed resource.
    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.
    Status Pulumi.GoogleNative.Dataproc.V1.Outputs.ClusterStatusResponse
    Cluster status.
    StatusHistory List<Pulumi.GoogleNative.Dataproc.V1.Outputs.ClusterStatusResponse>
    The previous cluster status.
    ClusterUuid string
    A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
    Id string
    The provider-assigned unique ID for this managed resource.
    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.
    Status ClusterStatusResponse
    Cluster status.
    StatusHistory []ClusterStatusResponse
    The previous cluster status.
    clusterUuid String
    A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
    id String
    The provider-assigned unique ID for this managed resource.
    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.
    status ClusterStatusResponse
    Cluster status.
    statusHistory List<ClusterStatusResponse>
    The previous cluster status.
    clusterUuid string
    A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
    id string
    The provider-assigned unique ID for this managed resource.
    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.
    status ClusterStatusResponse
    Cluster status.
    statusHistory ClusterStatusResponse[]
    The previous cluster status.
    cluster_uuid str
    A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
    id str
    The provider-assigned unique ID for this managed resource.
    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.
    status ClusterStatusResponse
    Cluster status.
    status_history Sequence[ClusterStatusResponse]
    The previous cluster status.
    clusterUuid String
    A cluster UUID (Unique Universal Identifier). Dataproc generates this value when it creates the cluster.
    id String
    The provider-assigned unique ID for this managed resource.
    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.
    status Property Map
    Cluster status.
    statusHistory List<Property Map>
    The previous cluster status.

    Supporting Types

    AcceleratorConfig, AcceleratorConfigArgs

    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.

    AcceleratorConfigResponse, AcceleratorConfigResponseArgs

    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.

    AutoscalingConfig, AutoscalingConfigArgs

    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.

    AutoscalingConfigResponse, AutoscalingConfigResponseArgs

    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.

    AuxiliaryNodeGroup, AuxiliaryNodeGroupArgs

    NodeGroup Pulumi.GoogleNative.Dataproc.V1.Inputs.NodeGroup
    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 NodeGroupType
    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 NodeGroup
    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 NodeGroup
    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 NodeGroup
    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.

    AuxiliaryNodeGroupResponse, AuxiliaryNodeGroupResponseArgs

    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.

    AuxiliaryServicesConfig, AuxiliaryServicesConfigArgs

    MetastoreConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.MetastoreConfig
    Optional. The Hive Metastore configuration for this workload.
    SparkHistoryServerConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.SparkHistoryServerConfig
    Optional. The Spark History Server configuration for the workload.
    MetastoreConfig MetastoreConfig
    Optional. The Hive Metastore configuration for this workload.
    SparkHistoryServerConfig SparkHistoryServerConfig
    Optional. The Spark History Server configuration for the workload.
    metastoreConfig MetastoreConfig
    Optional. The Hive Metastore configuration for this workload.
    sparkHistoryServerConfig SparkHistoryServerConfig
    Optional. The Spark History Server configuration for the workload.
    metastoreConfig MetastoreConfig
    Optional. The Hive Metastore configuration for this workload.
    sparkHistoryServerConfig SparkHistoryServerConfig
    Optional. The Spark History Server configuration for the workload.
    metastore_config MetastoreConfig
    Optional. The Hive Metastore configuration for this workload.
    spark_history_server_config SparkHistoryServerConfig
    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.

    AuxiliaryServicesConfigResponse, AuxiliaryServicesConfigResponseArgs

    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.

    ClusterConfig, ClusterConfigArgs

    AutoscalingConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.AutoscalingConfig
    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.AuxiliaryNodeGroup>
    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.DataprocMetricConfig
    Optional. The config for Dataproc metrics.
    EncryptionConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.EncryptionConfig
    Optional. Encryption settings for the cluster.
    EndpointConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.EndpointConfig
    Optional. Port/endpoint configuration for this cluster
    GceClusterConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.GceClusterConfig
    Optional. The shared Compute Engine config settings for all instances in a cluster.
    GkeClusterConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeClusterConfig
    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.NodeInitializationAction>
    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.LifecycleConfig
    Optional. Lifecycle setting for the cluster.
    MasterConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfig
    Optional. The Compute Engine config settings for the cluster's master instance.
    MetastoreConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.MetastoreConfig
    Optional. Metastore configuration.
    SecondaryWorkerConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfig
    Optional. The Compute Engine config settings for a cluster's secondary worker instances
    SecurityConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.SecurityConfig
    Optional. Security settings for the cluster.
    SoftwareConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.SoftwareConfig
    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.InstanceGroupConfig
    Optional. The Compute Engine config settings for the cluster's worker instances.
    AutoscalingConfig AutoscalingConfig
    Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
    AuxiliaryNodeGroups []AuxiliaryNodeGroup
    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 DataprocMetricConfig
    Optional. The config for Dataproc metrics.
    EncryptionConfig EncryptionConfig
    Optional. Encryption settings for the cluster.
    EndpointConfig EndpointConfig
    Optional. Port/endpoint configuration for this cluster
    GceClusterConfig GceClusterConfig
    Optional. The shared Compute Engine config settings for all instances in a cluster.
    GkeClusterConfig GkeClusterConfig
    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 []NodeInitializationAction
    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 LifecycleConfig
    Optional. Lifecycle setting for the cluster.
    MasterConfig InstanceGroupConfig
    Optional. The Compute Engine config settings for the cluster's master instance.
    MetastoreConfig MetastoreConfig
    Optional. Metastore configuration.
    SecondaryWorkerConfig InstanceGroupConfig
    Optional. The Compute Engine config settings for a cluster's secondary worker instances
    SecurityConfig SecurityConfig
    Optional. Security settings for the cluster.
    SoftwareConfig SoftwareConfig
    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 InstanceGroupConfig
    Optional. The Compute Engine config settings for the cluster's worker instances.
    autoscalingConfig AutoscalingConfig
    Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
    auxiliaryNodeGroups List<AuxiliaryNodeGroup>
    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 DataprocMetricConfig
    Optional. The config for Dataproc metrics.
    encryptionConfig EncryptionConfig
    Optional. Encryption settings for the cluster.
    endpointConfig EndpointConfig
    Optional. Port/endpoint configuration for this cluster
    gceClusterConfig GceClusterConfig
    Optional. The shared Compute Engine config settings for all instances in a cluster.
    gkeClusterConfig GkeClusterConfig
    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<NodeInitializationAction>
    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 LifecycleConfig
    Optional. Lifecycle setting for the cluster.
    masterConfig InstanceGroupConfig
    Optional. The Compute Engine config settings for the cluster's master instance.
    metastoreConfig MetastoreConfig
    Optional. Metastore configuration.
    secondaryWorkerConfig InstanceGroupConfig
    Optional. The Compute Engine config settings for a cluster's secondary worker instances
    securityConfig SecurityConfig
    Optional. Security settings for the cluster.
    softwareConfig SoftwareConfig
    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 InstanceGroupConfig
    Optional. The Compute Engine config settings for the cluster's worker instances.
    autoscalingConfig AutoscalingConfig
    Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
    auxiliaryNodeGroups AuxiliaryNodeGroup[]
    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 DataprocMetricConfig
    Optional. The config for Dataproc metrics.
    encryptionConfig EncryptionConfig
    Optional. Encryption settings for the cluster.
    endpointConfig EndpointConfig
    Optional. Port/endpoint configuration for this cluster
    gceClusterConfig GceClusterConfig
    Optional. The shared Compute Engine config settings for all instances in a cluster.
    gkeClusterConfig GkeClusterConfig
    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 NodeInitializationAction[]
    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 LifecycleConfig
    Optional. Lifecycle setting for the cluster.
    masterConfig InstanceGroupConfig
    Optional. The Compute Engine config settings for the cluster's master instance.
    metastoreConfig MetastoreConfig
    Optional. Metastore configuration.
    secondaryWorkerConfig InstanceGroupConfig
    Optional. The Compute Engine config settings for a cluster's secondary worker instances
    securityConfig SecurityConfig
    Optional. Security settings for the cluster.
    softwareConfig SoftwareConfig
    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 InstanceGroupConfig
    Optional. The Compute Engine config settings for the cluster's worker instances.
    autoscaling_config AutoscalingConfig
    Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
    auxiliary_node_groups Sequence[AuxiliaryNodeGroup]
    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 DataprocMetricConfig
    Optional. The config for Dataproc metrics.
    encryption_config EncryptionConfig
    Optional. Encryption settings for the cluster.
    endpoint_config EndpointConfig
    Optional. Port/endpoint configuration for this cluster
    gce_cluster_config GceClusterConfig
    Optional. The shared Compute Engine config settings for all instances in a cluster.
    gke_cluster_config GkeClusterConfig
    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[NodeInitializationAction]
    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 LifecycleConfig
    Optional. Lifecycle setting for the cluster.
    master_config InstanceGroupConfig
    Optional. The Compute Engine config settings for the cluster's master instance.
    metastore_config MetastoreConfig
    Optional. Metastore configuration.
    secondary_worker_config InstanceGroupConfig
    Optional. The Compute Engine config settings for a cluster's secondary worker instances
    security_config SecurityConfig
    Optional. Security settings for the cluster.
    software_config SoftwareConfig
    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 InstanceGroupConfig
    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.

    ClusterConfigResponse, ClusterConfigResponseArgs

    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, ClusterMetricsResponseArgs

    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, ClusterStatusResponseArgs

    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.

    ConfidentialInstanceConfig, ConfidentialInstanceConfigArgs

    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.

    ConfidentialInstanceConfigResponse, ConfidentialInstanceConfigResponseArgs

    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.

    DataprocMetricConfig, DataprocMetricConfigArgs

    Metrics []Metric
    Metrics sources to enable.
    metrics List<Metric>
    Metrics sources to enable.
    metrics Metric[]
    Metrics sources to enable.
    metrics Sequence[Metric]
    Metrics sources to enable.
    metrics List<Property Map>
    Metrics sources to enable.

    DataprocMetricConfigResponse, DataprocMetricConfigResponseArgs

    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.

    DiskConfig, DiskConfigArgs

    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.

    DiskConfigResponse, DiskConfigResponseArgs

    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.

    EncryptionConfig, EncryptionConfigArgs

    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.

    EncryptionConfigResponse, EncryptionConfigResponseArgs

    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.

    EndpointConfig, EndpointConfigArgs

    EnableHttpPortAccess bool
    Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
    EnableHttpPortAccess bool
    Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
    enableHttpPortAccess Boolean
    Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
    enableHttpPortAccess boolean
    Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
    enable_http_port_access bool
    Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
    enableHttpPortAccess Boolean
    Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.

    EndpointConfigResponse, EndpointConfigResponseArgs

    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.

    GceClusterConfig, GceClusterConfigArgs

    ConfidentialInstanceConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.ConfidentialInstanceConfig
    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.NodeGroupAffinity
    Optional. Node Group Affinity for sole-tenant clusters.
    PrivateIpv6GoogleAccess Pulumi.GoogleNative.Dataproc.V1.GceClusterConfigPrivateIpv6GoogleAccess
    Optional. The type of IPv6 access for a cluster.
    ReservationAffinity Pulumi.GoogleNative.Dataproc.V1.Inputs.ReservationAffinity
    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.ShieldedInstanceConfig
    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 ConfidentialInstanceConfig
    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 NodeGroupAffinity
    Optional. Node Group Affinity for sole-tenant clusters.
    PrivateIpv6GoogleAccess GceClusterConfigPrivateIpv6GoogleAccess
    Optional. The type of IPv6 access for a cluster.
    ReservationAffinity ReservationAffinity
    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 ShieldedInstanceConfig
    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 ConfidentialInstanceConfig
    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 NodeGroupAffinity
    Optional. Node Group Affinity for sole-tenant clusters.
    privateIpv6GoogleAccess GceClusterConfigPrivateIpv6GoogleAccess
    Optional. The type of IPv6 access for a cluster.
    reservationAffinity ReservationAffinity
    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 ShieldedInstanceConfig
    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 ConfidentialInstanceConfig
    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 NodeGroupAffinity
    Optional. Node Group Affinity for sole-tenant clusters.
    privateIpv6GoogleAccess GceClusterConfigPrivateIpv6GoogleAccess
    Optional. The type of IPv6 access for a cluster.
    reservationAffinity ReservationAffinity
    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 ShieldedInstanceConfig
    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 ConfidentialInstanceConfig
    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 NodeGroupAffinity
    Optional. Node Group Affinity for sole-tenant clusters.
    private_ipv6_google_access GceClusterConfigPrivateIpv6GoogleAccess
    Optional. The type of IPv6 access for a cluster.
    reservation_affinity ReservationAffinity
    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 ShieldedInstanceConfig
    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 "PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED" | "INHERIT_FROM_SUBNETWORK" | "OUTBOUND" | "BIDIRECTIONAL"
    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]

    GceClusterConfigPrivateIpv6GoogleAccess, GceClusterConfigPrivateIpv6GoogleAccessArgs

    PrivateIpv6GoogleAccessUnspecified
    PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
    InheritFromSubnetwork
    INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
    Outbound
    OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
    Bidirectional
    BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.
    GceClusterConfigPrivateIpv6GoogleAccessPrivateIpv6GoogleAccessUnspecified
    PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
    GceClusterConfigPrivateIpv6GoogleAccessInheritFromSubnetwork
    INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
    GceClusterConfigPrivateIpv6GoogleAccessOutbound
    OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
    GceClusterConfigPrivateIpv6GoogleAccessBidirectional
    BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.
    PrivateIpv6GoogleAccessUnspecified
    PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
    InheritFromSubnetwork
    INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
    Outbound
    OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
    Bidirectional
    BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.
    PrivateIpv6GoogleAccessUnspecified
    PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
    InheritFromSubnetwork
    INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
    Outbound
    OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
    Bidirectional
    BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.
    PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED
    PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
    INHERIT_FROM_SUBNETWORK
    INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
    OUTBOUND
    OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
    BIDIRECTIONAL
    BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.
    "PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED"
    PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
    "INHERIT_FROM_SUBNETWORK"
    INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
    "OUTBOUND"
    OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
    "BIDIRECTIONAL"
    BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.

    GceClusterConfigResponse, GceClusterConfigResponseArgs

    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]

    GkeClusterConfig, GkeClusterConfigArgs

    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.NamespacedGkeDeploymentTarget
    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.GkeNodePoolTarget>
    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 NamespacedGkeDeploymentTarget
    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 []GkeNodePoolTarget
    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 NamespacedGkeDeploymentTarget
    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<GkeNodePoolTarget>
    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 NamespacedGkeDeploymentTarget
    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 GkeNodePoolTarget[]
    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 NamespacedGkeDeploymentTarget
    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[GkeNodePoolTarget]
    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.

    GkeClusterConfigResponse, GkeClusterConfigResponseArgs

    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.

    GkeNodeConfig, GkeNodeConfigArgs

    Accelerators List<Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeNodePoolAcceleratorConfig>
    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 []GkeNodePoolAcceleratorConfig
    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<GkeNodePoolAcceleratorConfig>
    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 GkeNodePoolAcceleratorConfig[]
    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[GkeNodePoolAcceleratorConfig]
    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).

    GkeNodeConfigResponse, GkeNodeConfigResponseArgs

    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).

    GkeNodePoolAcceleratorConfig, GkeNodePoolAcceleratorConfigArgs

    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).

    GkeNodePoolAcceleratorConfigResponse, GkeNodePoolAcceleratorConfigResponseArgs

    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).

    GkeNodePoolAutoscalingConfig, GkeNodePoolAutoscalingConfigArgs

    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.

    GkeNodePoolAutoscalingConfigResponse, GkeNodePoolAutoscalingConfigResponseArgs

    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.

    GkeNodePoolConfig, GkeNodePoolConfigArgs

    Autoscaling Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeNodePoolAutoscalingConfig
    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.GkeNodeConfig
    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 GkeNodePoolAutoscalingConfig
    Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
    Config GkeNodeConfig
    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 GkeNodePoolAutoscalingConfig
    Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
    config GkeNodeConfig
    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 GkeNodePoolAutoscalingConfig
    Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
    config GkeNodeConfig
    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 GkeNodePoolAutoscalingConfig
    Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
    config GkeNodeConfig
    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.

    GkeNodePoolConfigResponse, GkeNodePoolConfigResponseArgs

    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.

    GkeNodePoolTarget, GkeNodePoolTargetArgs

    NodePool string
    The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
    Roles List<Pulumi.GoogleNative.Dataproc.V1.GkeNodePoolTargetRolesItem>
    The roles associated with the GKE node pool.
    NodePoolConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeNodePoolConfig
    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.
    NodePool string
    The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
    Roles []GkeNodePoolTargetRolesItem
    The roles associated with the GKE node pool.
    NodePoolConfig GkeNodePoolConfig
    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.
    nodePool String
    The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
    roles List<GkeNodePoolTargetRolesItem>
    The roles associated with the GKE node pool.
    nodePoolConfig GkeNodePoolConfig
    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.
    nodePool string
    The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
    roles GkeNodePoolTargetRolesItem[]
    The roles associated with the GKE node pool.
    nodePoolConfig GkeNodePoolConfig
    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.
    node_pool str
    The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
    roles Sequence[GkeNodePoolTargetRolesItem]
    The roles associated with the GKE node pool.
    node_pool_config GkeNodePoolConfig
    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.
    nodePool String
    The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
    roles List<"ROLE_UNSPECIFIED" | "DEFAULT" | "CONTROLLER" | "SPARK_DRIVER" | "SPARK_EXECUTOR">
    The roles associated with the GKE 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.

    GkeNodePoolTargetResponse, GkeNodePoolTargetResponseArgs

    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.

    GkeNodePoolTargetRolesItem, GkeNodePoolTargetRolesItemArgs

    RoleUnspecified
    ROLE_UNSPECIFIEDRole is unspecified.
    Default
    DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
    Controller
    CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
    SparkDriver
    SPARK_DRIVERRun work associated with a Spark driver of a job.
    SparkExecutor
    SPARK_EXECUTORRun work associated with a Spark executor of a job.
    GkeNodePoolTargetRolesItemRoleUnspecified
    ROLE_UNSPECIFIEDRole is unspecified.
    GkeNodePoolTargetRolesItemDefault
    DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
    GkeNodePoolTargetRolesItemController
    CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
    GkeNodePoolTargetRolesItemSparkDriver
    SPARK_DRIVERRun work associated with a Spark driver of a job.
    GkeNodePoolTargetRolesItemSparkExecutor
    SPARK_EXECUTORRun work associated with a Spark executor of a job.
    RoleUnspecified
    ROLE_UNSPECIFIEDRole is unspecified.
    Default
    DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
    Controller
    CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
    SparkDriver
    SPARK_DRIVERRun work associated with a Spark driver of a job.
    SparkExecutor
    SPARK_EXECUTORRun work associated with a Spark executor of a job.
    RoleUnspecified
    ROLE_UNSPECIFIEDRole is unspecified.
    Default
    DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
    Controller
    CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
    SparkDriver
    SPARK_DRIVERRun work associated with a Spark driver of a job.
    SparkExecutor
    SPARK_EXECUTORRun work associated with a Spark executor of a job.
    ROLE_UNSPECIFIED
    ROLE_UNSPECIFIEDRole is unspecified.
    DEFAULT
    DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
    CONTROLLER
    CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
    SPARK_DRIVER
    SPARK_DRIVERRun work associated with a Spark driver of a job.
    SPARK_EXECUTOR
    SPARK_EXECUTORRun work associated with a Spark executor of a job.
    "ROLE_UNSPECIFIED"
    ROLE_UNSPECIFIEDRole is unspecified.
    "DEFAULT"
    DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
    "CONTROLLER"
    CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
    "SPARK_DRIVER"
    SPARK_DRIVERRun work associated with a Spark driver of a job.
    "SPARK_EXECUTOR"
    SPARK_EXECUTORRun work associated with a Spark executor of a job.

    IdentityConfig, IdentityConfigArgs

    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.

    IdentityConfigResponse, IdentityConfigResponseArgs

    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.

    InstanceFlexibilityPolicy, InstanceFlexibilityPolicyArgs

    InstanceSelectionList List<Pulumi.GoogleNative.Dataproc.V1.Inputs.InstanceSelection>
    Optional. List of instance selection options that the group will use when creating new VMs.
    InstanceSelectionList []InstanceSelection
    Optional. List of instance selection options that the group will use when creating new VMs.
    instanceSelectionList List<InstanceSelection>
    Optional. List of instance selection options that the group will use when creating new VMs.
    instanceSelectionList InstanceSelection[]
    Optional. List of instance selection options that the group will use when creating new VMs.
    instance_selection_list Sequence[InstanceSelection]
    Optional. List of instance selection options that the group will use when creating new VMs.
    instanceSelectionList List<Property Map>
    Optional. List of instance selection options that the group will use when creating new VMs.

    InstanceFlexibilityPolicyResponse, InstanceFlexibilityPolicyResponseArgs

    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.

    InstanceGroupConfig, InstanceGroupConfigArgs

    Accelerators List<Pulumi.GoogleNative.Dataproc.V1.Inputs.AcceleratorConfig>
    Optional. The Compute Engine accelerator configuration for these instances.
    DiskConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.DiskConfig
    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.InstanceFlexibilityPolicy
    Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
    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.
    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 Pulumi.GoogleNative.Dataproc.V1.InstanceGroupConfigPreemptibility
    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.StartupConfig
    Optional. Configuration to handle the startup of instances during cluster create and update process.
    Accelerators []AcceleratorConfig
    Optional. The Compute Engine accelerator configuration for these instances.
    DiskConfig DiskConfig
    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 InstanceFlexibilityPolicy
    Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
    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.
    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 InstanceGroupConfigPreemptibility
    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 StartupConfig
    Optional. Configuration to handle the startup of instances during cluster create and update process.
    accelerators List<AcceleratorConfig>
    Optional. The Compute Engine accelerator configuration for these instances.
    diskConfig DiskConfig
    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 InstanceFlexibilityPolicy
    Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
    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.
    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 InstanceGroupConfigPreemptibility
    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 StartupConfig
    Optional. Configuration to handle the startup of instances during cluster create and update process.
    accelerators AcceleratorConfig[]
    Optional. The Compute Engine accelerator configuration for these instances.
    diskConfig DiskConfig
    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 InstanceFlexibilityPolicy
    Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
    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.
    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 InstanceGroupConfigPreemptibility
    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 StartupConfig
    Optional. Configuration to handle the startup of instances during cluster create and update process.
    accelerators Sequence[AcceleratorConfig]
    Optional. The Compute Engine accelerator configuration for these instances.
    disk_config DiskConfig
    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 InstanceFlexibilityPolicy
    Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
    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.
    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 InstanceGroupConfigPreemptibility
    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 StartupConfig
    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.
    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.
    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 "PREEMPTIBILITY_UNSPECIFIED" | "NON_PREEMPTIBLE" | "PREEMPTIBLE" | "SPOT"
    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.

    InstanceGroupConfigPreemptibility, InstanceGroupConfigPreemptibilityArgs

    PreemptibilityUnspecified
    PREEMPTIBILITY_UNSPECIFIEDPreemptibility is unspecified, the system will choose the appropriate setting for each instance group.
    NonPreemptible
    NON_PREEMPTIBLEInstances are non-preemptible.This option is allowed for all instance groups and is the only valid value for Master and Worker instance groups.
    Preemptible
    PREEMPTIBLEInstances are preemptible (https://cloud.google.com/compute/docs/instances/preemptible).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups.
    Spot
    SPOTInstances are Spot VMs (https://cloud.google.com/compute/docs/instances/spot).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups. Spot VMs are the latest version of preemptible VMs (https://cloud.google.com/compute/docs/instances/preemptible), and provide additional features.
    InstanceGroupConfigPreemptibilityPreemptibilityUnspecified
    PREEMPTIBILITY_UNSPECIFIEDPreemptibility is unspecified, the system will choose the appropriate setting for each instance group.
    InstanceGroupConfigPreemptibilityNonPreemptible
    NON_PREEMPTIBLEInstances are non-preemptible.This option is allowed for all instance groups and is the only valid value for Master and Worker instance groups.
    InstanceGroupConfigPreemptibilityPreemptible
    PREEMPTIBLEInstances are preemptible (https://cloud.google.com/compute/docs/instances/preemptible).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups.
    InstanceGroupConfigPreemptibilitySpot
    SPOTInstances are Spot VMs (https://cloud.google.com/compute/docs/instances/spot).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups. Spot VMs are the latest version of preemptible VMs (https://cloud.google.com/compute/docs/instances/preemptible), and provide additional features.
    PreemptibilityUnspecified
    PREEMPTIBILITY_UNSPECIFIEDPreemptibility is unspecified, the system will choose the appropriate setting for each instance group.
    NonPreemptible
    NON_PREEMPTIBLEInstances are non-preemptible.This option is allowed for all instance groups and is the only valid value for Master and Worker instance groups.
    Preemptible
    PREEMPTIBLEInstances are preemptible (https://cloud.google.com/compute/docs/instances/preemptible).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups.
    Spot
    SPOTInstances are Spot VMs (https://cloud.google.com/compute/docs/instances/spot).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups. Spot VMs are the latest version of preemptible VMs (https://cloud.google.com/compute/docs/instances/preemptible), and provide additional features.
    PreemptibilityUnspecified
    PREEMPTIBILITY_UNSPECIFIEDPreemptibility is unspecified, the system will choose the appropriate setting for each instance group.
    NonPreemptible
    NON_PREEMPTIBLEInstances are non-preemptible.This option is allowed for all instance groups and is the only valid value for Master and Worker instance groups.
    Preemptible
    PREEMPTIBLEInstances are preemptible (https://cloud.google.com/compute/docs/instances/preemptible).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups.
    Spot
    SPOTInstances are Spot VMs (https://cloud.google.com/compute/docs/instances/spot).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups. Spot VMs are the latest version of preemptible VMs (https://cloud.google.com/compute/docs/instances/preemptible), and provide additional features.
    PREEMPTIBILITY_UNSPECIFIED
    PREEMPTIBILITY_UNSPECIFIEDPreemptibility is unspecified, the system will choose the appropriate setting for each instance group.
    NON_PREEMPTIBLE
    NON_PREEMPTIBLEInstances are non-preemptible.This option is allowed for all instance groups and is the only valid value for Master and Worker instance groups.
    PREEMPTIBLE
    PREEMPTIBLEInstances are preemptible (https://cloud.google.com/compute/docs/instances/preemptible).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups.
    SPOT
    SPOTInstances are Spot VMs (https://cloud.google.com/compute/docs/instances/spot).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups. Spot VMs are the latest version of preemptible VMs (https://cloud.google.com/compute/docs/instances/preemptible), and provide additional features.
    "PREEMPTIBILITY_UNSPECIFIED"
    PREEMPTIBILITY_UNSPECIFIEDPreemptibility is unspecified, the system will choose the appropriate setting for each instance group.
    "NON_PREEMPTIBLE"
    NON_PREEMPTIBLEInstances are non-preemptible.This option is allowed for all instance groups and is the only valid value for Master and Worker instance groups.
    "PREEMPTIBLE"
    PREEMPTIBLEInstances are preemptible (https://cloud.google.com/compute/docs/instances/preemptible).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups.
    "SPOT"
    SPOTInstances are Spot VMs (https://cloud.google.com/compute/docs/instances/spot).This option is allowed only for secondary worker (https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms) groups. Spot VMs are the latest version of preemptible VMs (https://cloud.google.com/compute/docs/instances/preemptible), and provide additional features.

    InstanceGroupConfigResponse, InstanceGroupConfigResponseArgs

    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, InstanceReferenceResponseArgs

    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.

    InstanceSelection, InstanceSelectionArgs

    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.

    InstanceSelectionResponse, InstanceSelectionResponseArgs

    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, InstanceSelectionResultResponseArgs

    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.

    KerberosConfig, KerberosConfigArgs

    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.

    KerberosConfigResponse, KerberosConfigResponseArgs

    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.

    KubernetesClusterConfig, KubernetesClusterConfigArgs

    GkeClusterConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.GkeClusterConfig
    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.KubernetesSoftwareConfig
    Optional. The software configuration for this Dataproc cluster running on Kubernetes.
    GkeClusterConfig GkeClusterConfig
    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 KubernetesSoftwareConfig
    Optional. The software configuration for this Dataproc cluster running on Kubernetes.
    gkeClusterConfig GkeClusterConfig
    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 KubernetesSoftwareConfig
    Optional. The software configuration for this Dataproc cluster running on Kubernetes.
    gkeClusterConfig GkeClusterConfig
    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 KubernetesSoftwareConfig
    Optional. The software configuration for this Dataproc cluster running on Kubernetes.
    gke_cluster_config GkeClusterConfig
    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 KubernetesSoftwareConfig
    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.

    KubernetesClusterConfigResponse, KubernetesClusterConfigResponseArgs

    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.

    KubernetesSoftwareConfig, KubernetesSoftwareConfigArgs

    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).

    KubernetesSoftwareConfigResponse, KubernetesSoftwareConfigResponseArgs

    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).

    LifecycleConfig, LifecycleConfigArgs

    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)).
    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)).
    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)).
    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)).
    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)).
    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)).

    LifecycleConfigResponse, LifecycleConfigResponseArgs

    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, ManagedGroupConfigResponseArgs

    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.

    MetastoreConfig, MetastoreConfigArgs

    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]

    MetastoreConfigResponse, MetastoreConfigResponseArgs

    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]

    Metric, MetricArgs

    MetricSource Pulumi.GoogleNative.Dataproc.V1.MetricMetricSource
    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 MetricMetricSource
    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 MetricMetricSource
    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 MetricMetricSource
    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.
    metric_source MetricMetricSource
    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.
    metricSource "METRIC_SOURCE_UNSPECIFIED" | "MONITORING_AGENT_DEFAULTS" | "HDFS" | "SPARK" | "YARN" | "SPARK_HISTORY_SERVER" | "HIVESERVER2" | "HIVEMETASTORE" | "FLINK"
    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.

    MetricMetricSource, MetricMetricSourceArgs

    MetricSourceUnspecified
    METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
    MonitoringAgentDefaults
    MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
    Hdfs
    HDFSHDFS metric source.
    Spark
    SPARKSpark metric source.
    Yarn
    YARNYARN metric source.
    SparkHistoryServer
    SPARK_HISTORY_SERVERSpark History Server metric source.
    Hiveserver2
    HIVESERVER2Hiveserver2 metric source.
    Hivemetastore
    HIVEMETASTOREhivemetastore metric source
    Flink
    FLINKflink metric source
    MetricMetricSourceMetricSourceUnspecified
    METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
    MetricMetricSourceMonitoringAgentDefaults
    MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
    MetricMetricSourceHdfs
    HDFSHDFS metric source.
    MetricMetricSourceSpark
    SPARKSpark metric source.
    MetricMetricSourceYarn
    YARNYARN metric source.
    MetricMetricSourceSparkHistoryServer
    SPARK_HISTORY_SERVERSpark History Server metric source.
    MetricMetricSourceHiveserver2
    HIVESERVER2Hiveserver2 metric source.
    MetricMetricSourceHivemetastore
    HIVEMETASTOREhivemetastore metric source
    MetricMetricSourceFlink
    FLINKflink metric source
    MetricSourceUnspecified
    METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
    MonitoringAgentDefaults
    MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
    Hdfs
    HDFSHDFS metric source.
    Spark
    SPARKSpark metric source.
    Yarn
    YARNYARN metric source.
    SparkHistoryServer
    SPARK_HISTORY_SERVERSpark History Server metric source.
    Hiveserver2
    HIVESERVER2Hiveserver2 metric source.
    Hivemetastore
    HIVEMETASTOREhivemetastore metric source
    Flink
    FLINKflink metric source
    MetricSourceUnspecified
    METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
    MonitoringAgentDefaults
    MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
    Hdfs
    HDFSHDFS metric source.
    Spark
    SPARKSpark metric source.
    Yarn
    YARNYARN metric source.
    SparkHistoryServer
    SPARK_HISTORY_SERVERSpark History Server metric source.
    Hiveserver2
    HIVESERVER2Hiveserver2 metric source.
    Hivemetastore
    HIVEMETASTOREhivemetastore metric source
    Flink
    FLINKflink metric source
    METRIC_SOURCE_UNSPECIFIED
    METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
    MONITORING_AGENT_DEFAULTS
    MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
    HDFS
    HDFSHDFS metric source.
    SPARK
    SPARKSpark metric source.
    YARN
    YARNYARN metric source.
    SPARK_HISTORY_SERVER
    SPARK_HISTORY_SERVERSpark History Server metric source.
    HIVESERVER2
    HIVESERVER2Hiveserver2 metric source.
    HIVEMETASTORE
    HIVEMETASTOREhivemetastore metric source
    FLINK
    FLINKflink metric source
    "METRIC_SOURCE_UNSPECIFIED"
    METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
    "MONITORING_AGENT_DEFAULTS"
    MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
    "HDFS"
    HDFSHDFS metric source.
    "SPARK"
    SPARKSpark metric source.
    "YARN"
    YARNYARN metric source.
    "SPARK_HISTORY_SERVER"
    SPARK_HISTORY_SERVERSpark History Server metric source.
    "HIVESERVER2"
    HIVESERVER2Hiveserver2 metric source.
    "HIVEMETASTORE"
    HIVEMETASTOREhivemetastore metric source
    "FLINK"
    FLINKflink metric source

    MetricResponse, MetricResponseArgs

    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).

    NamespacedGkeDeploymentTarget, NamespacedGkeDeploymentTargetArgs

    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}'

    NamespacedGkeDeploymentTargetResponse, NamespacedGkeDeploymentTargetResponseArgs

    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}'

    NodeGroup, NodeGroupArgs

    Roles List<Pulumi.GoogleNative.Dataproc.V1.NodeGroupRolesItem>
    Node group roles.
    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.InstanceGroupConfig
    Optional. The node group instance group configuration.
    Roles []NodeGroupRolesItem
    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 InstanceGroupConfig
    Optional. The node group instance group configuration.
    roles List<NodeGroupRolesItem>
    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 InstanceGroupConfig
    Optional. The node group instance group configuration.
    roles NodeGroupRolesItem[]
    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 InstanceGroupConfig
    Optional. The node group instance group configuration.
    roles Sequence[NodeGroupRolesItem]
    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 InstanceGroupConfig
    Optional. The node group instance group configuration.
    roles List<"ROLE_UNSPECIFIED" | "DRIVER">
    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.

    NodeGroupAffinity, NodeGroupAffinityArgs

    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

    NodeGroupAffinityResponse, NodeGroupAffinityResponseArgs

    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, NodeGroupResponseArgs

    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.

    NodeGroupRolesItem, NodeGroupRolesItemArgs

    RoleUnspecified
    ROLE_UNSPECIFIEDRequired unspecified role.
    Driver
    DRIVERJob drivers run on the node pool.
    NodeGroupRolesItemRoleUnspecified
    ROLE_UNSPECIFIEDRequired unspecified role.
    NodeGroupRolesItemDriver
    DRIVERJob drivers run on the node pool.
    RoleUnspecified
    ROLE_UNSPECIFIEDRequired unspecified role.
    Driver
    DRIVERJob drivers run on the node pool.
    RoleUnspecified
    ROLE_UNSPECIFIEDRequired unspecified role.
    Driver
    DRIVERJob drivers run on the node pool.
    ROLE_UNSPECIFIED
    ROLE_UNSPECIFIEDRequired unspecified role.
    DRIVER
    DRIVERJob drivers run on the node pool.
    "ROLE_UNSPECIFIED"
    ROLE_UNSPECIFIEDRequired unspecified role.
    "DRIVER"
    DRIVERJob drivers run on the node pool.

    NodeInitializationAction, NodeInitializationActionArgs

    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.

    NodeInitializationActionResponse, NodeInitializationActionResponseArgs

    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.

    ReservationAffinity, ReservationAffinityArgs

    ConsumeReservationType Pulumi.GoogleNative.Dataproc.V1.ReservationAffinityConsumeReservationType
    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 ReservationAffinityConsumeReservationType
    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 ReservationAffinityConsumeReservationType
    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 ReservationAffinityConsumeReservationType
    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 ReservationAffinityConsumeReservationType
    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 "TYPE_UNSPECIFIED" | "NO_RESERVATION" | "ANY_RESERVATION" | "SPECIFIC_RESERVATION"
    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.

    ReservationAffinityConsumeReservationType, ReservationAffinityConsumeReservationTypeArgs

    TypeUnspecified
    TYPE_UNSPECIFIED
    NoReservation
    NO_RESERVATIONDo not consume from any allocated capacity.
    AnyReservation
    ANY_RESERVATIONConsume any reservation available.
    SpecificReservation
    SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.
    ReservationAffinityConsumeReservationTypeTypeUnspecified
    TYPE_UNSPECIFIED
    ReservationAffinityConsumeReservationTypeNoReservation
    NO_RESERVATIONDo not consume from any allocated capacity.
    ReservationAffinityConsumeReservationTypeAnyReservation
    ANY_RESERVATIONConsume any reservation available.
    ReservationAffinityConsumeReservationTypeSpecificReservation
    SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.
    TypeUnspecified
    TYPE_UNSPECIFIED
    NoReservation
    NO_RESERVATIONDo not consume from any allocated capacity.
    AnyReservation
    ANY_RESERVATIONConsume any reservation available.
    SpecificReservation
    SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.
    TypeUnspecified
    TYPE_UNSPECIFIED
    NoReservation
    NO_RESERVATIONDo not consume from any allocated capacity.
    AnyReservation
    ANY_RESERVATIONConsume any reservation available.
    SpecificReservation
    SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.
    TYPE_UNSPECIFIED
    TYPE_UNSPECIFIED
    NO_RESERVATION
    NO_RESERVATIONDo not consume from any allocated capacity.
    ANY_RESERVATION
    ANY_RESERVATIONConsume any reservation available.
    SPECIFIC_RESERVATION
    SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.
    "TYPE_UNSPECIFIED"
    TYPE_UNSPECIFIED
    "NO_RESERVATION"
    NO_RESERVATIONDo not consume from any allocated capacity.
    "ANY_RESERVATION"
    ANY_RESERVATIONConsume any reservation available.
    "SPECIFIC_RESERVATION"
    SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.

    ReservationAffinityResponse, ReservationAffinityResponseArgs

    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.

    SecurityConfig, SecurityConfigArgs

    IdentityConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.IdentityConfig
    Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
    KerberosConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.KerberosConfig
    Optional. Kerberos related configuration.
    IdentityConfig IdentityConfig
    Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
    KerberosConfig KerberosConfig
    Optional. Kerberos related configuration.
    identityConfig IdentityConfig
    Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
    kerberosConfig KerberosConfig
    Optional. Kerberos related configuration.
    identityConfig IdentityConfig
    Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
    kerberosConfig KerberosConfig
    Optional. Kerberos related configuration.
    identity_config IdentityConfig
    Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
    kerberos_config KerberosConfig
    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.

    SecurityConfigResponse, SecurityConfigResponseArgs

    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.

    ShieldedInstanceConfig, ShieldedInstanceConfigArgs

    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.

    ShieldedInstanceConfigResponse, ShieldedInstanceConfigResponseArgs

    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.

    SoftwareConfig, SoftwareConfigArgs

    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<Pulumi.GoogleNative.Dataproc.V1.SoftwareConfigOptionalComponentsItem>
    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 []SoftwareConfigOptionalComponentsItem
    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<SoftwareConfigOptionalComponentsItem>
    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 SoftwareConfigOptionalComponentsItem[]
    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[SoftwareConfigOptionalComponentsItem]
    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<"COMPONENT_UNSPECIFIED" | "ANACONDA" | "DOCKER" | "DRUID" | "FLINK" | "HBASE" | "HIVE_WEBHCAT" | "HUDI" | "JUPYTER" | "PRESTO" | "TRINO" | "RANGER" | "SOLR" | "ZEPPELIN" | "ZOOKEEPER">
    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).

    SoftwareConfigOptionalComponentsItem, SoftwareConfigOptionalComponentsItemArgs

    ComponentUnspecified
    COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
    Anaconda
    ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
    Docker
    DOCKERDocker
    Druid
    DRUIDThe Druid query engine. (alpha)
    Flink
    FLINKFlink
    Hbase
    HBASEHBase. (beta)
    HiveWebhcat
    HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
    Hudi
    HUDIHudi.
    Jupyter
    JUPYTERThe Jupyter Notebook.
    Presto
    PRESTOThe Presto query engine.
    Trino
    TRINOThe Trino query engine.
    Ranger
    RANGERThe Ranger service.
    Solr
    SOLRThe Solr service.
    Zeppelin
    ZEPPELINThe Zeppelin notebook.
    Zookeeper
    ZOOKEEPERThe Zookeeper service.
    SoftwareConfigOptionalComponentsItemComponentUnspecified
    COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
    SoftwareConfigOptionalComponentsItemAnaconda
    ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
    SoftwareConfigOptionalComponentsItemDocker
    DOCKERDocker
    SoftwareConfigOptionalComponentsItemDruid
    DRUIDThe Druid query engine. (alpha)
    SoftwareConfigOptionalComponentsItemFlink
    FLINKFlink
    SoftwareConfigOptionalComponentsItemHbase
    HBASEHBase. (beta)
    SoftwareConfigOptionalComponentsItemHiveWebhcat
    HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
    SoftwareConfigOptionalComponentsItemHudi
    HUDIHudi.
    SoftwareConfigOptionalComponentsItemJupyter
    JUPYTERThe Jupyter Notebook.
    SoftwareConfigOptionalComponentsItemPresto
    PRESTOThe Presto query engine.
    SoftwareConfigOptionalComponentsItemTrino
    TRINOThe Trino query engine.
    SoftwareConfigOptionalComponentsItemRanger
    RANGERThe Ranger service.
    SoftwareConfigOptionalComponentsItemSolr
    SOLRThe Solr service.
    SoftwareConfigOptionalComponentsItemZeppelin
    ZEPPELINThe Zeppelin notebook.
    SoftwareConfigOptionalComponentsItemZookeeper
    ZOOKEEPERThe Zookeeper service.
    ComponentUnspecified
    COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
    Anaconda
    ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
    Docker
    DOCKERDocker
    Druid
    DRUIDThe Druid query engine. (alpha)
    Flink
    FLINKFlink
    Hbase
    HBASEHBase. (beta)
    HiveWebhcat
    HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
    Hudi
    HUDIHudi.
    Jupyter
    JUPYTERThe Jupyter Notebook.
    Presto
    PRESTOThe Presto query engine.
    Trino
    TRINOThe Trino query engine.
    Ranger
    RANGERThe Ranger service.
    Solr
    SOLRThe Solr service.
    Zeppelin
    ZEPPELINThe Zeppelin notebook.
    Zookeeper
    ZOOKEEPERThe Zookeeper service.
    ComponentUnspecified
    COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
    Anaconda
    ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
    Docker
    DOCKERDocker
    Druid
    DRUIDThe Druid query engine. (alpha)
    Flink
    FLINKFlink
    Hbase
    HBASEHBase. (beta)
    HiveWebhcat
    HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
    Hudi
    HUDIHudi.
    Jupyter
    JUPYTERThe Jupyter Notebook.
    Presto
    PRESTOThe Presto query engine.
    Trino
    TRINOThe Trino query engine.
    Ranger
    RANGERThe Ranger service.
    Solr
    SOLRThe Solr service.
    Zeppelin
    ZEPPELINThe Zeppelin notebook.
    Zookeeper
    ZOOKEEPERThe Zookeeper service.
    COMPONENT_UNSPECIFIED
    COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
    ANACONDA
    ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
    DOCKER
    DOCKERDocker
    DRUID
    DRUIDThe Druid query engine. (alpha)
    FLINK
    FLINKFlink
    HBASE
    HBASEHBase. (beta)
    HIVE_WEBHCAT
    HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
    HUDI
    HUDIHudi.
    JUPYTER
    JUPYTERThe Jupyter Notebook.
    PRESTO
    PRESTOThe Presto query engine.
    TRINO
    TRINOThe Trino query engine.
    RANGER
    RANGERThe Ranger service.
    SOLR
    SOLRThe Solr service.
    ZEPPELIN
    ZEPPELINThe Zeppelin notebook.
    ZOOKEEPER
    ZOOKEEPERThe Zookeeper service.
    "COMPONENT_UNSPECIFIED"
    COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
    "ANACONDA"
    ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
    "DOCKER"
    DOCKERDocker
    "DRUID"
    DRUIDThe Druid query engine. (alpha)
    "FLINK"
    FLINKFlink
    "HBASE"
    HBASEHBase. (beta)
    "HIVE_WEBHCAT"
    HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
    "HUDI"
    HUDIHudi.
    "JUPYTER"
    JUPYTERThe Jupyter Notebook.
    "PRESTO"
    PRESTOThe Presto query engine.
    "TRINO"
    TRINOThe Trino query engine.
    "RANGER"
    RANGERThe Ranger service.
    "SOLR"
    SOLRThe Solr service.
    "ZEPPELIN"
    ZEPPELINThe Zeppelin notebook.
    "ZOOKEEPER"
    ZOOKEEPERThe Zookeeper service.

    SoftwareConfigResponse, SoftwareConfigResponseArgs

    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).

    SparkHistoryServerConfig, SparkHistoryServerConfigArgs

    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]

    SparkHistoryServerConfigResponse, SparkHistoryServerConfigResponseArgs

    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]

    StartupConfig, StartupConfigArgs

    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).

    StartupConfigResponse, StartupConfigResponseArgs

    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).

    VirtualClusterConfig, VirtualClusterConfigArgs

    KubernetesClusterConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.KubernetesClusterConfig
    The configuration for running the Dataproc cluster on Kubernetes.
    AuxiliaryServicesConfig Pulumi.GoogleNative.Dataproc.V1.Inputs.AuxiliaryServicesConfig
    Optional. Configuration of auxiliary services used by this cluster.
    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.
    KubernetesClusterConfig KubernetesClusterConfig
    The configuration for running the Dataproc cluster on Kubernetes.
    AuxiliaryServicesConfig AuxiliaryServicesConfig
    Optional. Configuration of auxiliary services used by this cluster.
    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.
    kubernetesClusterConfig KubernetesClusterConfig
    The configuration for running the Dataproc cluster on Kubernetes.
    auxiliaryServicesConfig AuxiliaryServicesConfig
    Optional. Configuration of auxiliary services used by this cluster.
    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.
    kubernetesClusterConfig KubernetesClusterConfig
    The configuration for running the Dataproc cluster on Kubernetes.
    auxiliaryServicesConfig AuxiliaryServicesConfig
    Optional. Configuration of auxiliary services used by this cluster.
    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.
    kubernetes_cluster_config KubernetesClusterConfig
    The configuration for running the Dataproc cluster on Kubernetes.
    auxiliary_services_config AuxiliaryServicesConfig
    Optional. Configuration of auxiliary services used by this cluster.
    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.
    kubernetesClusterConfig Property Map
    The configuration for running the Dataproc cluster on Kubernetes.
    auxiliaryServicesConfig Property Map
    Optional. Configuration of auxiliary services used by this cluster.
    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.

    VirtualClusterConfigResponse, VirtualClusterConfigResponseArgs

    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-native logo

    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