Google Cloud Native is in preview. Google Cloud Classic is fully supported.
google-native.dataproc/v1.NodeGroup
Explore with Pulumi AI
Google Cloud Native is in preview. Google Cloud Classic is fully supported.
Creates a node group in a cluster. The returned Operation.metadata is NodeGroupOperationMetadata (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#nodegroupoperationmetadata). Auto-naming is currently not supported for this resource. Note - this resource’s API doesn’t support deletion. When deleted, the resource will persist on Google Cloud even though it will be deleted from Pulumi state.
Create NodeGroup Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new NodeGroup(name: string, args: NodeGroupArgs, opts?: CustomResourceOptions);
@overload
def NodeGroup(resource_name: str,
args: NodeGroupInitArgs,
opts: Optional[ResourceOptions] = None)
@overload
def NodeGroup(resource_name: str,
opts: Optional[ResourceOptions] = None,
cluster_id: Optional[str] = None,
region_id: Optional[str] = None,
roles: Optional[Sequence[NodeGroupRolesItem]] = None,
labels: Optional[Mapping[str, str]] = None,
name: Optional[str] = None,
node_group_config: Optional[InstanceGroupConfigArgs] = None,
node_group_id: Optional[str] = None,
parent_operation_id: Optional[str] = None,
project: Optional[str] = None,
request_id: Optional[str] = None)
func NewNodeGroup(ctx *Context, name string, args NodeGroupArgs, opts ...ResourceOption) (*NodeGroup, error)
public NodeGroup(string name, NodeGroupArgs args, CustomResourceOptions? opts = null)
public NodeGroup(String name, NodeGroupArgs args)
public NodeGroup(String name, NodeGroupArgs args, CustomResourceOptions options)
type: google-native:dataproc/v1:NodeGroup
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 NodeGroupArgs
- 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 NodeGroupInitArgs
- 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 NodeGroupArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args NodeGroupArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args NodeGroupArgs
- 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 examplenodeGroupResourceResourceFromDataprocv1 = new GoogleNative.Dataproc.V1.NodeGroup("examplenodeGroupResourceResourceFromDataprocv1", new()
{
ClusterId = "string",
RegionId = "string",
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",
ParentOperationId = "string",
Project = "string",
RequestId = "string",
});
example, err := dataproc.NewNodeGroup(ctx, "examplenodeGroupResourceResourceFromDataprocv1", &dataproc.NodeGroupArgs{
ClusterId: pulumi.String("string"),
RegionId: pulumi.String("string"),
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"),
ParentOperationId: pulumi.String("string"),
Project: pulumi.String("string"),
RequestId: pulumi.String("string"),
})
var examplenodeGroupResourceResourceFromDataprocv1 = new NodeGroup("examplenodeGroupResourceResourceFromDataprocv1", NodeGroupArgs.builder()
.clusterId("string")
.regionId("string")
.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)
.build())
.build())
.nodeGroupId("string")
.parentOperationId("string")
.project("string")
.requestId("string")
.build());
examplenode_group_resource_resource_from_dataprocv1 = google_native.dataproc.v1.NodeGroup("examplenodeGroupResourceResourceFromDataprocv1",
cluster_id="string",
region_id="string",
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",
parent_operation_id="string",
project="string",
request_id="string")
const examplenodeGroupResourceResourceFromDataprocv1 = new google_native.dataproc.v1.NodeGroup("examplenodeGroupResourceResourceFromDataprocv1", {
clusterId: "string",
regionId: "string",
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",
parentOperationId: "string",
project: "string",
requestId: "string",
});
type: google-native:dataproc/v1:NodeGroup
properties:
clusterId: string
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
nodeGroupId: string
parentOperationId: string
project: string
regionId: string
requestId: string
roles:
- ROLE_UNSPECIFIED
NodeGroup 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 NodeGroup resource accepts the following input properties:
- Cluster
Id string - Region
Id string - Roles
List<Pulumi.
Google Native. Dataproc. V1. Node Group Roles Item> - 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).
- Node
Group Pulumi.Config Google Native. Dataproc. V1. Inputs. Instance Group Config - Optional. The node group instance group configuration.
- Node
Group stringId - Optional. An optional 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.
- Parent
Operation stringId - Optional. operation id of the parent operation sending the create request
- Project string
- Request
Id string - Optional. A unique ID used to identify the request. If the server receives two CreateNodeGroupRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateNodeGroupRequests) with the same ID, the second request is ignored and the first google.longrunning.Operation created and stored in the backend is returned.Recommendation: 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.
- Cluster
Id string - Region
Id string - Roles
[]Node
Group Roles Item - 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).
- Node
Group InstanceConfig Group Config Args - Optional. The node group instance group configuration.
- Node
Group stringId - Optional. An optional 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.
- Parent
Operation stringId - Optional. operation id of the parent operation sending the create request
- Project string
- Request
Id string - Optional. A unique ID used to identify the request. If the server receives two CreateNodeGroupRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateNodeGroupRequests) with the same ID, the second request is ignored and the first google.longrunning.Operation created and stored in the backend is returned.Recommendation: 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.
- cluster
Id String - region
Id String - roles
List<Node
Group Roles Item> - 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).
- node
Group InstanceConfig Group Config - Optional. The node group instance group configuration.
- node
Group StringId - Optional. An optional 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.
- parent
Operation StringId - Optional. operation id of the parent operation sending the create request
- project String
- request
Id String - Optional. A unique ID used to identify the request. If the server receives two CreateNodeGroupRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateNodeGroupRequests) with the same ID, the second request is ignored and the first google.longrunning.Operation created and stored in the backend is returned.Recommendation: 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.
- cluster
Id string - region
Id string - roles
Node
Group Roles Item[] - 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).
- node
Group InstanceConfig Group Config - Optional. The node group instance group configuration.
- node
Group stringId - Optional. An optional 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.
- parent
Operation stringId - Optional. operation id of the parent operation sending the create request
- project string
- request
Id string - Optional. A unique ID used to identify the request. If the server receives two CreateNodeGroupRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateNodeGroupRequests) with the same ID, the second request is ignored and the first google.longrunning.Operation created and stored in the backend is returned.Recommendation: 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.
- cluster_
id str - region_
id str - roles
Sequence[Node
Group Roles Item] - 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_ Instanceconfig Group Config Args - Optional. The node group instance group configuration.
- node_
group_ strid - Optional. An optional 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.
- parent_
operation_ strid - Optional. operation id of the parent operation sending the create request
- project str
- request_
id str - Optional. A unique ID used to identify the request. If the server receives two CreateNodeGroupRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateNodeGroupRequests) with the same ID, the second request is ignored and the first google.longrunning.Operation created and stored in the backend is returned.Recommendation: 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.
- cluster
Id String - region
Id String - 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).
- node
Group Property MapConfig - Optional. The node group instance group configuration.
- node
Group StringId - Optional. An optional 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.
- parent
Operation StringId - Optional. operation id of the parent operation sending the create request
- project String
- request
Id String - Optional. A unique ID used to identify the request. If the server receives two CreateNodeGroupRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateNodeGroupRequests) with the same ID, the second request is ignored and the first google.longrunning.Operation created and stored in the backend is returned.Recommendation: 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.
Outputs
All input properties are implicitly available as output properties. Additionally, the NodeGroup resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- Id string
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
- id string
- The provider-assigned unique ID for this managed resource.
- id str
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
Supporting Types
AcceleratorConfig, AcceleratorConfigArgs
- Accelerator
Count int - The number of the accelerator cards of this type exposed to this instance.
- Accelerator
Type stringUri - 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 stringUri - 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 Integer - The number of the accelerator cards of this type exposed to this instance.
- accelerator
Type StringUri - 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 number - The number of the accelerator cards of this type exposed to this instance.
- accelerator
Type stringUri - 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_ struri - 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 Number - The number of the accelerator cards of this type exposed to this instance.
- accelerator
Type StringUri - 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
- Accelerator
Count int - The number of the accelerator cards of this type exposed to this instance.
- Accelerator
Type stringUri - 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 stringUri - 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 Integer - The number of the accelerator cards of this type exposed to this instance.
- accelerator
Type StringUri - 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 number - The number of the accelerator cards of this type exposed to this instance.
- accelerator
Type stringUri - 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_ struri - 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 Number - The number of the accelerator cards of this type exposed to this instance.
- accelerator
Type StringUri - 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.
DiskConfig, DiskConfigArgs
- Boot
Disk intSize Gb - Optional. Size in GB of the boot disk (default is 500GB).
- Boot
Disk stringType - 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 stringInterface - 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 intSsds - 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 intSize Gb - Optional. Size in GB of the boot disk (default is 500GB).
- Boot
Disk stringType - 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 stringInterface - 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 intSsds - 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 IntegerSize Gb - Optional. Size in GB of the boot disk (default is 500GB).
- boot
Disk StringType - 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 StringInterface - 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 IntegerSsds - 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 numberSize Gb - Optional. Size in GB of the boot disk (default is 500GB).
- boot
Disk stringType - 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 stringInterface - 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 numberSsds - 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_ intsize_ gb - Optional. Size in GB of the boot disk (default is 500GB).
- boot_
disk_ strtype - 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_ strinterface - 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_ intssds - 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 NumberSize Gb - Optional. Size in GB of the boot disk (default is 500GB).
- boot
Disk StringType - 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 StringInterface - 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 NumberSsds - 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
- Boot
Disk intSize Gb - Optional. Size in GB of the boot disk (default is 500GB).
- Boot
Disk stringType - 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 stringInterface - 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 intSsds - 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 intSize Gb - Optional. Size in GB of the boot disk (default is 500GB).
- Boot
Disk stringType - 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 stringInterface - 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 intSsds - 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 IntegerSize Gb - Optional. Size in GB of the boot disk (default is 500GB).
- boot
Disk StringType - 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 StringInterface - 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 IntegerSsds - 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 numberSize Gb - Optional. Size in GB of the boot disk (default is 500GB).
- boot
Disk stringType - 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 stringInterface - 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 numberSsds - 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_ intsize_ gb - Optional. Size in GB of the boot disk (default is 500GB).
- boot_
disk_ strtype - 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_ strinterface - 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_ intssds - 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 NumberSize Gb - Optional. Size in GB of the boot disk (default is 500GB).
- boot
Disk StringType - 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 StringInterface - 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 NumberSsds - 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.
InstanceFlexibilityPolicy, InstanceFlexibilityPolicyArgs
- Instance
Selection List<Pulumi.List Google Native. Dataproc. V1. Inputs. Instance Selection> - Optional. List of instance selection options that the group will use when creating new VMs.
- Instance
Selection []InstanceList Selection - Optional. List of instance selection options that the group will use when creating new VMs.
- instance
Selection List<InstanceList Selection> - Optional. List of instance selection options that the group will use when creating new VMs.
- instance
Selection InstanceList Selection[] - Optional. List of instance selection options that the group will use when creating new VMs.
- instance_
selection_ Sequence[Instancelist Selection] - Optional. List of instance selection options that the group will use when creating new VMs.
- instance
Selection List<Property Map>List - Optional. List of instance selection options that the group will use when creating new VMs.
InstanceFlexibilityPolicyResponse, InstanceFlexibilityPolicyResponseArgs
- Instance
Selection List<Pulumi.List Google Native. Dataproc. V1. Inputs. Instance Selection Response> - Optional. List of instance selection options that the group will use when creating new VMs.
- Instance
Selection List<Pulumi.Results Google Native. Dataproc. V1. Inputs. Instance Selection Result Response> - A list of instance selection results in the group.
- Instance
Selection []InstanceList Selection Response - Optional. List of instance selection options that the group will use when creating new VMs.
- Instance
Selection []InstanceResults Selection Result Response - A list of instance selection results in the group.
- instance
Selection List<InstanceList Selection Response> - Optional. List of instance selection options that the group will use when creating new VMs.
- instance
Selection List<InstanceResults Selection Result Response> - A list of instance selection results in the group.
- instance
Selection InstanceList Selection Response[] - Optional. List of instance selection options that the group will use when creating new VMs.
- instance
Selection InstanceResults Selection Result Response[] - A list of instance selection results in the group.
- instance_
selection_ Sequence[Instancelist Selection Response] - Optional. List of instance selection options that the group will use when creating new VMs.
- instance_
selection_ Sequence[Instanceresults Selection Result Response] - A list of instance selection results in the group.
- instance
Selection List<Property Map>List - Optional. List of instance selection options that the group will use when creating new VMs.
- instance
Selection List<Property Map>Results - A list of instance selection results in the group.
InstanceGroupConfig, InstanceGroupConfigArgs
- Accelerators
List<Pulumi.
Google Native. Dataproc. V1. Inputs. Accelerator Config> - Optional. The Compute Engine accelerator configuration for these instances.
- Disk
Config Pulumi.Google Native. Dataproc. V1. Inputs. Disk Config - Optional. Disk option config settings.
- Image
Uri 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.
- Instance
Flexibility Pulumi.Policy Google Native. Dataproc. V1. Inputs. Instance Flexibility Policy - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
- Machine
Type stringUri - 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 stringPlatform - 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 intInstances - 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
Pulumi.
Google Native. Dataproc. V1. Instance Group Config Preemptibility - 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 Pulumi.Google Native. Dataproc. V1. Inputs. Startup Config - Optional. Configuration to handle the startup of instances during cluster create and update process.
- Accelerators
[]Accelerator
Config - Optional. The Compute Engine accelerator configuration for these instances.
- Disk
Config DiskConfig - Optional. Disk option config settings.
- Image
Uri 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.
- Instance
Flexibility InstancePolicy Flexibility Policy - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
- Machine
Type stringUri - 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 stringPlatform - 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 intInstances - 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
Instance
Group Config Preemptibility - 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<Accelerator
Config> - Optional. The Compute Engine accelerator configuration for these instances.
- disk
Config DiskConfig - Optional. Disk option config settings.
- image
Uri 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.
- instance
Flexibility InstancePolicy Flexibility Policy - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
- machine
Type StringUri - 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 StringPlatform - 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 IntegerInstances - 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 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
Instance
Group Config Preemptibility - 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
Accelerator
Config[] - Optional. The Compute Engine accelerator configuration for these instances.
- disk
Config DiskConfig - Optional. Disk option config settings.
- image
Uri 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.
- instance
Flexibility InstancePolicy Flexibility Policy - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
- machine
Type stringUri - 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 stringPlatform - 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 numberInstances - 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 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
Instance
Group Config Preemptibility - 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
Sequence[Accelerator
Config] - 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_ Instancepolicy Flexibility Policy - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
- machine_
type_ struri - 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_ strplatform - 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_ intinstances - 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
Instance
Group Config Preemptibility - 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.
- disk
Config Property Map - Optional. Disk option config settings.
- image
Uri 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.
- instance
Flexibility Property MapPolicy - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
- machine
Type StringUri - 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 StringPlatform - 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 NumberInstances - 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 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.
- startup
Config Property Map - Optional. Configuration to handle the startup of instances during cluster create and update process.
InstanceGroupConfigPreemptibility, InstanceGroupConfigPreemptibilityArgs
- 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.
- Instance
Group Config Preemptibility Preemptibility Unspecified - PREEMPTIBILITY_UNSPECIFIEDPreemptibility is unspecified, the system will choose the appropriate setting for each instance group.
- Instance
Group Config Preemptibility 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.
- Instance
Group Config Preemptibility 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.
- Instance
Group Config Preemptibility 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.
- 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.
Google Native. Dataproc. V1. Inputs. Accelerator Config Response> - Optional. The Compute Engine accelerator configuration for these instances.
- Disk
Config Pulumi.Google Native. Dataproc. V1. Inputs. Disk Config Response - Optional. Disk option config settings.
- Image
Uri 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.
- Instance
Flexibility Pulumi.Policy Google Native. Dataproc. V1. Inputs. Instance Flexibility Policy Response - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
- Instance
Names List<string> - The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
- Instance
References List<Pulumi.Google Native. Dataproc. V1. Inputs. Instance Reference Response> - List of references to Compute Engine instances.
- Is
Preemptible bool - Specifies that this instance group contains preemptible instances.
- Machine
Type stringUri - 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 Pulumi.Config Google Native. Dataproc. V1. Inputs. Managed Group Config Response - The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
- Min
Cpu stringPlatform - 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 intInstances - 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 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.
- Startup
Config Pulumi.Google Native. Dataproc. V1. Inputs. Startup Config Response - Optional. Configuration to handle the startup of instances during cluster create and update process.
- Accelerators
[]Accelerator
Config Response - Optional. The Compute Engine accelerator configuration for these instances.
- Disk
Config DiskConfig Response - Optional. Disk option config settings.
- Image
Uri 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.
- Instance
Flexibility InstancePolicy Flexibility Policy Response - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
- Instance
Names []string - The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
- Instance
References []InstanceReference Response - List of references to Compute Engine instances.
- Is
Preemptible bool - Specifies that this instance group contains preemptible instances.
- Machine
Type stringUri - 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 ManagedConfig Group Config Response - The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
- Min
Cpu stringPlatform - 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 intInstances - 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 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.
- Startup
Config StartupConfig Response - Optional. Configuration to handle the startup of instances during cluster create and update process.
- accelerators
List<Accelerator
Config Response> - Optional. The Compute Engine accelerator configuration for these instances.
- disk
Config DiskConfig Response - Optional. Disk option config settings.
- image
Uri 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.
- instance
Flexibility InstancePolicy Flexibility Policy Response - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
- instance
Names List<String> - The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
- instance
References List<InstanceReference Response> - List of references to Compute Engine instances.
- is
Preemptible Boolean - Specifies that this instance group contains preemptible instances.
- machine
Type StringUri - 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 ManagedConfig Group Config Response - The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
- min
Cpu StringPlatform - 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 IntegerInstances - 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 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.
- startup
Config StartupConfig Response - Optional. Configuration to handle the startup of instances during cluster create and update process.
- accelerators
Accelerator
Config Response[] - Optional. The Compute Engine accelerator configuration for these instances.
- disk
Config DiskConfig Response - Optional. Disk option config settings.
- image
Uri 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.
- instance
Flexibility InstancePolicy Flexibility Policy Response - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
- instance
Names string[] - The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
- instance
References InstanceReference Response[] - List of references to Compute Engine instances.
- is
Preemptible boolean - Specifies that this instance group contains preemptible instances.
- machine
Type stringUri - 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 ManagedConfig Group Config Response - The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
- min
Cpu stringPlatform - 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 numberInstances - 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 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.
- startup
Config StartupConfig Response - Optional. Configuration to handle the startup of instances during cluster create and update process.
- accelerators
Sequence[Accelerator
Config Response] - Optional. The Compute Engine accelerator configuration for these instances.
- disk_
config DiskConfig Response - 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_ Instancepolicy Flexibility Policy Response - 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[InstanceReference Response] - List of references to Compute Engine instances.
- is_
preemptible bool - Specifies that this instance group contains preemptible instances.
- machine_
type_ struri - 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_ Managedconfig Group Config Response - The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
- min_
cpu_ strplatform - 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_ intinstances - 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 StartupConfig Response - 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.
- disk
Config Property Map - Optional. Disk option config settings.
- image
Uri 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.
- instance
Flexibility Property MapPolicy - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
- instance
Names List<String> - The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
- instance
References List<Property Map> - List of references to Compute Engine instances.
- is
Preemptible Boolean - Specifies that this instance group contains preemptible instances.
- machine
Type StringUri - 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 Property MapConfig - The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
- min
Cpu StringPlatform - 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 NumberInstances - 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 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.
- startup
Config Property Map - Optional. Configuration to handle the startup of instances during cluster create and update process.
InstanceReferenceResponse, InstanceReferenceResponseArgs
- Instance
Id string - The unique identifier of the Compute Engine instance.
- Instance
Name string - The user-friendly name of the Compute Engine instance.
- Public
Ecies stringKey - The public ECIES key used for sharing data with this instance.
- Public
Key string - The public RSA key used for sharing data with this instance.
- Instance
Id string - The unique identifier of the Compute Engine instance.
- Instance
Name string - The user-friendly name of the Compute Engine instance.
- Public
Ecies stringKey - The public ECIES key used for sharing data with this instance.
- Public
Key string - The public RSA key used for sharing data with this instance.
- instance
Id String - The unique identifier of the Compute Engine instance.
- instance
Name String - The user-friendly name of the Compute Engine instance.
- public
Ecies StringKey - The public ECIES key used for sharing data with this instance.
- public
Key String - The public RSA key used for sharing data with this instance.
- instance
Id string - The unique identifier of the Compute Engine instance.
- instance
Name string - The user-friendly name of the Compute Engine instance.
- public
Ecies stringKey - The public ECIES key used for sharing data with this instance.
- public
Key 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_ strkey - 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.
- instance
Id String - The unique identifier of the Compute Engine instance.
- instance
Name String - The user-friendly name of the Compute Engine instance.
- public
Ecies StringKey - The public ECIES key used for sharing data with this instance.
- public
Key String - The public RSA key used for sharing data with this instance.
InstanceSelection, InstanceSelectionArgs
- Machine
Types 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.
- Machine
Types []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.
- machine
Types 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.
- machine
Types 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.
- machine
Types 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
- Machine
Types 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.
- Machine
Types []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.
- machine
Types 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.
- machine
Types 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.
- machine
Types 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
- Machine
Type string - Full machine-type names, e.g. "n1-standard-16".
- Vm
Count int - Number of VM provisioned with the machine_type.
- Machine
Type string - Full machine-type names, e.g. "n1-standard-16".
- Vm
Count int - Number of VM provisioned with the machine_type.
- machine
Type String - Full machine-type names, e.g. "n1-standard-16".
- vm
Count Integer - Number of VM provisioned with the machine_type.
- machine
Type string - Full machine-type names, e.g. "n1-standard-16".
- vm
Count 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.
- machine
Type String - Full machine-type names, e.g. "n1-standard-16".
- vm
Count Number - Number of VM provisioned with the machine_type.
ManagedGroupConfigResponse, ManagedGroupConfigResponseArgs
- Instance
Group stringManager Name - The name of the Instance Group Manager for this group.
- Instance
Group stringManager Uri - The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
- Instance
Template stringName - The name of the Instance Template used for the Managed Instance Group.
- Instance
Group stringManager Name - The name of the Instance Group Manager for this group.
- Instance
Group stringManager Uri - The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
- Instance
Template stringName - The name of the Instance Template used for the Managed Instance Group.
- instance
Group StringManager Name - The name of the Instance Group Manager for this group.
- instance
Group StringManager Uri - The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
- instance
Template StringName - The name of the Instance Template used for the Managed Instance Group.
- instance
Group stringManager Name - The name of the Instance Group Manager for this group.
- instance
Group stringManager Uri - The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
- instance
Template stringName - The name of the Instance Template used for the Managed Instance Group.
- instance_
group_ strmanager_ name - The name of the Instance Group Manager for this group.
- instance_
group_ strmanager_ uri - The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
- instance_
template_ strname - The name of the Instance Template used for the Managed Instance Group.
- instance
Group StringManager Name - The name of the Instance Group Manager for this group.
- instance
Group StringManager Uri - The partial URI to the instance group manager for this group. E.g. projects/my-project/regions/us-central1/instanceGroupManagers/my-igm.
- instance
Template StringName - The name of the Instance Template used for the Managed Instance Group.
NodeGroupRolesItem, NodeGroupRolesItemArgs
- Role
Unspecified - ROLE_UNSPECIFIEDRequired unspecified role.
- Driver
- DRIVERJob drivers run on the node pool.
- Node
Group Roles Item Role Unspecified - ROLE_UNSPECIFIEDRequired unspecified role.
- Node
Group Roles Item 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.
- 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.
StartupConfig, StartupConfigArgs
- Required
Registration doubleFraction - 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 float64Fraction - 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 DoubleFraction - 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 numberFraction - 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_ floatfraction - 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 NumberFraction - 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
- Required
Registration doubleFraction - 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 float64Fraction - 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 DoubleFraction - 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 numberFraction - 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_ floatfraction - 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 NumberFraction - 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).
Package Details
- Repository
- Google Cloud Native pulumi/pulumi-google-native
- License
- Apache-2.0
Google Cloud Native is in preview. Google Cloud Classic is fully supported.