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Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
google-native.dataproc/v1.WorkflowTemplate
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Google Cloud Native is in preview. Google Cloud Classic is fully supported.
Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
Creates new workflow template. Auto-naming is currently not supported for this resource.
Create WorkflowTemplate Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new WorkflowTemplate(name: string, args: WorkflowTemplateArgs, opts?: CustomResourceOptions);@overload
def WorkflowTemplate(resource_name: str,
args: WorkflowTemplateArgs,
opts: Optional[ResourceOptions] = None)
@overload
def WorkflowTemplate(resource_name: str,
opts: Optional[ResourceOptions] = None,
jobs: Optional[Sequence[OrderedJobArgs]] = None,
placement: Optional[WorkflowTemplatePlacementArgs] = None,
dag_timeout: Optional[str] = None,
encryption_config: Optional[GoogleCloudDataprocV1WorkflowTemplateEncryptionConfigArgs] = None,
id: Optional[str] = None,
labels: Optional[Mapping[str, str]] = None,
location: Optional[str] = None,
parameters: Optional[Sequence[TemplateParameterArgs]] = None,
project: Optional[str] = None,
version: Optional[int] = None)func NewWorkflowTemplate(ctx *Context, name string, args WorkflowTemplateArgs, opts ...ResourceOption) (*WorkflowTemplate, error)public WorkflowTemplate(string name, WorkflowTemplateArgs args, CustomResourceOptions? opts = null)
public WorkflowTemplate(String name, WorkflowTemplateArgs args)
public WorkflowTemplate(String name, WorkflowTemplateArgs args, CustomResourceOptions options)
type: google-native:dataproc/v1:WorkflowTemplate
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 WorkflowTemplateArgs
- 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 WorkflowTemplateArgs
- 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 WorkflowTemplateArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args WorkflowTemplateArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args WorkflowTemplateArgs
- 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 workflowTemplateResource = new GoogleNative.Dataproc.V1.WorkflowTemplate("workflowTemplateResource", new()
{
Jobs = new[]
{
new GoogleNative.Dataproc.V1.Inputs.OrderedJobArgs
{
StepId = "string",
PrestoJob = new GoogleNative.Dataproc.V1.Inputs.PrestoJobArgs
{
ClientTags = new[]
{
"string",
},
ContinueOnFailure = false,
LoggingConfig = new GoogleNative.Dataproc.V1.Inputs.LoggingConfigArgs
{
DriverLogLevels =
{
{ "string", "string" },
},
},
OutputFormat = "string",
Properties =
{
{ "string", "string" },
},
QueryFileUri = "string",
QueryList = new GoogleNative.Dataproc.V1.Inputs.QueryListArgs
{
Queries = new[]
{
"string",
},
},
},
HiveJob = new GoogleNative.Dataproc.V1.Inputs.HiveJobArgs
{
ContinueOnFailure = false,
JarFileUris = new[]
{
"string",
},
Properties =
{
{ "string", "string" },
},
QueryFileUri = "string",
QueryList = new GoogleNative.Dataproc.V1.Inputs.QueryListArgs
{
Queries = new[]
{
"string",
},
},
ScriptVariables =
{
{ "string", "string" },
},
},
Labels =
{
{ "string", "string" },
},
PigJob = new GoogleNative.Dataproc.V1.Inputs.PigJobArgs
{
ContinueOnFailure = false,
JarFileUris = new[]
{
"string",
},
LoggingConfig = new GoogleNative.Dataproc.V1.Inputs.LoggingConfigArgs
{
DriverLogLevels =
{
{ "string", "string" },
},
},
Properties =
{
{ "string", "string" },
},
QueryFileUri = "string",
QueryList = new GoogleNative.Dataproc.V1.Inputs.QueryListArgs
{
Queries = new[]
{
"string",
},
},
ScriptVariables =
{
{ "string", "string" },
},
},
PrerequisiteStepIds = new[]
{
"string",
},
FlinkJob = new GoogleNative.Dataproc.V1.Inputs.FlinkJobArgs
{
Args = new[]
{
"string",
},
JarFileUris = new[]
{
"string",
},
LoggingConfig = new GoogleNative.Dataproc.V1.Inputs.LoggingConfigArgs
{
DriverLogLevels =
{
{ "string", "string" },
},
},
MainClass = "string",
MainJarFileUri = "string",
Properties =
{
{ "string", "string" },
},
SavepointUri = "string",
},
PysparkJob = new GoogleNative.Dataproc.V1.Inputs.PySparkJobArgs
{
MainPythonFileUri = "string",
ArchiveUris = new[]
{
"string",
},
Args = new[]
{
"string",
},
FileUris = new[]
{
"string",
},
JarFileUris = new[]
{
"string",
},
LoggingConfig = new GoogleNative.Dataproc.V1.Inputs.LoggingConfigArgs
{
DriverLogLevels =
{
{ "string", "string" },
},
},
Properties =
{
{ "string", "string" },
},
PythonFileUris = new[]
{
"string",
},
},
Scheduling = new GoogleNative.Dataproc.V1.Inputs.JobSchedulingArgs
{
MaxFailuresPerHour = 0,
MaxFailuresTotal = 0,
},
SparkJob = new GoogleNative.Dataproc.V1.Inputs.SparkJobArgs
{
ArchiveUris = new[]
{
"string",
},
Args = new[]
{
"string",
},
FileUris = new[]
{
"string",
},
JarFileUris = new[]
{
"string",
},
LoggingConfig = new GoogleNative.Dataproc.V1.Inputs.LoggingConfigArgs
{
DriverLogLevels =
{
{ "string", "string" },
},
},
MainClass = "string",
MainJarFileUri = "string",
Properties =
{
{ "string", "string" },
},
},
SparkRJob = new GoogleNative.Dataproc.V1.Inputs.SparkRJobArgs
{
MainRFileUri = "string",
ArchiveUris = new[]
{
"string",
},
Args = new[]
{
"string",
},
FileUris = new[]
{
"string",
},
LoggingConfig = new GoogleNative.Dataproc.V1.Inputs.LoggingConfigArgs
{
DriverLogLevels =
{
{ "string", "string" },
},
},
Properties =
{
{ "string", "string" },
},
},
SparkSqlJob = new GoogleNative.Dataproc.V1.Inputs.SparkSqlJobArgs
{
JarFileUris = new[]
{
"string",
},
LoggingConfig = new GoogleNative.Dataproc.V1.Inputs.LoggingConfigArgs
{
DriverLogLevels =
{
{ "string", "string" },
},
},
Properties =
{
{ "string", "string" },
},
QueryFileUri = "string",
QueryList = new GoogleNative.Dataproc.V1.Inputs.QueryListArgs
{
Queries = new[]
{
"string",
},
},
ScriptVariables =
{
{ "string", "string" },
},
},
HadoopJob = new GoogleNative.Dataproc.V1.Inputs.HadoopJobArgs
{
ArchiveUris = new[]
{
"string",
},
Args = new[]
{
"string",
},
FileUris = new[]
{
"string",
},
JarFileUris = new[]
{
"string",
},
LoggingConfig = new GoogleNative.Dataproc.V1.Inputs.LoggingConfigArgs
{
DriverLogLevels =
{
{ "string", "string" },
},
},
MainClass = "string",
MainJarFileUri = "string",
Properties =
{
{ "string", "string" },
},
},
TrinoJob = new GoogleNative.Dataproc.V1.Inputs.TrinoJobArgs
{
ClientTags = new[]
{
"string",
},
ContinueOnFailure = false,
LoggingConfig = new GoogleNative.Dataproc.V1.Inputs.LoggingConfigArgs
{
DriverLogLevels =
{
{ "string", "string" },
},
},
OutputFormat = "string",
Properties =
{
{ "string", "string" },
},
QueryFileUri = "string",
QueryList = new GoogleNative.Dataproc.V1.Inputs.QueryListArgs
{
Queries = new[]
{
"string",
},
},
},
},
},
Placement = new GoogleNative.Dataproc.V1.Inputs.WorkflowTemplatePlacementArgs
{
ClusterSelector = new GoogleNative.Dataproc.V1.Inputs.ClusterSelectorArgs
{
ClusterLabels =
{
{ "string", "string" },
},
Zone = "string",
},
ManagedCluster = new GoogleNative.Dataproc.V1.Inputs.ManagedClusterArgs
{
ClusterName = "string",
Config = new GoogleNative.Dataproc.V1.Inputs.ClusterConfigArgs
{
AutoscalingConfig = new GoogleNative.Dataproc.V1.Inputs.AutoscalingConfigArgs
{
PolicyUri = "string",
},
AuxiliaryNodeGroups = new[]
{
new GoogleNative.Dataproc.V1.Inputs.AuxiliaryNodeGroupArgs
{
NodeGroup = new GoogleNative.Dataproc.V1.Inputs.NodeGroupArgs
{
Roles = new[]
{
GoogleNative.Dataproc.V1.NodeGroupRolesItem.RoleUnspecified,
},
Labels =
{
{ "string", "string" },
},
Name = "string",
NodeGroupConfig = new GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigArgs
{
Accelerators = new[]
{
new GoogleNative.Dataproc.V1.Inputs.AcceleratorConfigArgs
{
AcceleratorCount = 0,
AcceleratorTypeUri = "string",
},
},
DiskConfig = new GoogleNative.Dataproc.V1.Inputs.DiskConfigArgs
{
BootDiskSizeGb = 0,
BootDiskType = "string",
LocalSsdInterface = "string",
NumLocalSsds = 0,
},
ImageUri = "string",
InstanceFlexibilityPolicy = new GoogleNative.Dataproc.V1.Inputs.InstanceFlexibilityPolicyArgs
{
InstanceSelectionList = new[]
{
new GoogleNative.Dataproc.V1.Inputs.InstanceSelectionArgs
{
MachineTypes = new[]
{
"string",
},
Rank = 0,
},
},
},
MachineTypeUri = "string",
MinCpuPlatform = "string",
MinNumInstances = 0,
NumInstances = 0,
Preemptibility = GoogleNative.Dataproc.V1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
StartupConfig = new GoogleNative.Dataproc.V1.Inputs.StartupConfigArgs
{
RequiredRegistrationFraction = 0,
},
},
},
NodeGroupId = "string",
},
},
ConfigBucket = "string",
DataprocMetricConfig = new GoogleNative.Dataproc.V1.Inputs.DataprocMetricConfigArgs
{
Metrics = new[]
{
new GoogleNative.Dataproc.V1.Inputs.MetricArgs
{
MetricSource = GoogleNative.Dataproc.V1.MetricMetricSource.MetricSourceUnspecified,
MetricOverrides = new[]
{
"string",
},
},
},
},
EncryptionConfig = new GoogleNative.Dataproc.V1.Inputs.EncryptionConfigArgs
{
GcePdKmsKeyName = "string",
KmsKey = "string",
},
EndpointConfig = new GoogleNative.Dataproc.V1.Inputs.EndpointConfigArgs
{
EnableHttpPortAccess = false,
},
GceClusterConfig = new GoogleNative.Dataproc.V1.Inputs.GceClusterConfigArgs
{
ConfidentialInstanceConfig = new GoogleNative.Dataproc.V1.Inputs.ConfidentialInstanceConfigArgs
{
EnableConfidentialCompute = false,
},
InternalIpOnly = false,
Metadata =
{
{ "string", "string" },
},
NetworkUri = "string",
NodeGroupAffinity = new GoogleNative.Dataproc.V1.Inputs.NodeGroupAffinityArgs
{
NodeGroupUri = "string",
},
PrivateIpv6GoogleAccess = GoogleNative.Dataproc.V1.GceClusterConfigPrivateIpv6GoogleAccess.PrivateIpv6GoogleAccessUnspecified,
ReservationAffinity = new GoogleNative.Dataproc.V1.Inputs.ReservationAffinityArgs
{
ConsumeReservationType = GoogleNative.Dataproc.V1.ReservationAffinityConsumeReservationType.TypeUnspecified,
Key = "string",
Values = new[]
{
"string",
},
},
ServiceAccount = "string",
ServiceAccountScopes = new[]
{
"string",
},
ShieldedInstanceConfig = new GoogleNative.Dataproc.V1.Inputs.ShieldedInstanceConfigArgs
{
EnableIntegrityMonitoring = false,
EnableSecureBoot = false,
EnableVtpm = false,
},
SubnetworkUri = "string",
Tags = new[]
{
"string",
},
ZoneUri = "string",
},
GkeClusterConfig = new GoogleNative.Dataproc.V1.Inputs.GkeClusterConfigArgs
{
GkeClusterTarget = "string",
NodePoolTarget = new[]
{
new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolTargetArgs
{
NodePool = "string",
Roles = new[]
{
GoogleNative.Dataproc.V1.GkeNodePoolTargetRolesItem.RoleUnspecified,
},
NodePoolConfig = new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolConfigArgs
{
Autoscaling = new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolAutoscalingConfigArgs
{
MaxNodeCount = 0,
MinNodeCount = 0,
},
Config = new GoogleNative.Dataproc.V1.Inputs.GkeNodeConfigArgs
{
Accelerators = new[]
{
new GoogleNative.Dataproc.V1.Inputs.GkeNodePoolAcceleratorConfigArgs
{
AcceleratorCount = "string",
AcceleratorType = "string",
GpuPartitionSize = "string",
},
},
BootDiskKmsKey = "string",
LocalSsdCount = 0,
MachineType = "string",
MinCpuPlatform = "string",
Preemptible = false,
Spot = false,
},
Locations = new[]
{
"string",
},
},
},
},
},
InitializationActions = new[]
{
new GoogleNative.Dataproc.V1.Inputs.NodeInitializationActionArgs
{
ExecutableFile = "string",
ExecutionTimeout = "string",
},
},
LifecycleConfig = new GoogleNative.Dataproc.V1.Inputs.LifecycleConfigArgs
{
AutoDeleteTime = "string",
AutoDeleteTtl = "string",
IdleDeleteTtl = "string",
},
MasterConfig = new GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigArgs
{
Accelerators = new[]
{
new GoogleNative.Dataproc.V1.Inputs.AcceleratorConfigArgs
{
AcceleratorCount = 0,
AcceleratorTypeUri = "string",
},
},
DiskConfig = new GoogleNative.Dataproc.V1.Inputs.DiskConfigArgs
{
BootDiskSizeGb = 0,
BootDiskType = "string",
LocalSsdInterface = "string",
NumLocalSsds = 0,
},
ImageUri = "string",
InstanceFlexibilityPolicy = new GoogleNative.Dataproc.V1.Inputs.InstanceFlexibilityPolicyArgs
{
InstanceSelectionList = new[]
{
new GoogleNative.Dataproc.V1.Inputs.InstanceSelectionArgs
{
MachineTypes = new[]
{
"string",
},
Rank = 0,
},
},
},
MachineTypeUri = "string",
MinCpuPlatform = "string",
MinNumInstances = 0,
NumInstances = 0,
Preemptibility = GoogleNative.Dataproc.V1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
StartupConfig = new GoogleNative.Dataproc.V1.Inputs.StartupConfigArgs
{
RequiredRegistrationFraction = 0,
},
},
MetastoreConfig = new GoogleNative.Dataproc.V1.Inputs.MetastoreConfigArgs
{
DataprocMetastoreService = "string",
},
SecondaryWorkerConfig = new GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigArgs
{
Accelerators = new[]
{
new GoogleNative.Dataproc.V1.Inputs.AcceleratorConfigArgs
{
AcceleratorCount = 0,
AcceleratorTypeUri = "string",
},
},
DiskConfig = new GoogleNative.Dataproc.V1.Inputs.DiskConfigArgs
{
BootDiskSizeGb = 0,
BootDiskType = "string",
LocalSsdInterface = "string",
NumLocalSsds = 0,
},
ImageUri = "string",
InstanceFlexibilityPolicy = new GoogleNative.Dataproc.V1.Inputs.InstanceFlexibilityPolicyArgs
{
InstanceSelectionList = new[]
{
new GoogleNative.Dataproc.V1.Inputs.InstanceSelectionArgs
{
MachineTypes = new[]
{
"string",
},
Rank = 0,
},
},
},
MachineTypeUri = "string",
MinCpuPlatform = "string",
MinNumInstances = 0,
NumInstances = 0,
Preemptibility = GoogleNative.Dataproc.V1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
StartupConfig = new GoogleNative.Dataproc.V1.Inputs.StartupConfigArgs
{
RequiredRegistrationFraction = 0,
},
},
SecurityConfig = new GoogleNative.Dataproc.V1.Inputs.SecurityConfigArgs
{
IdentityConfig = new GoogleNative.Dataproc.V1.Inputs.IdentityConfigArgs
{
UserServiceAccountMapping =
{
{ "string", "string" },
},
},
KerberosConfig = new GoogleNative.Dataproc.V1.Inputs.KerberosConfigArgs
{
CrossRealmTrustAdminServer = "string",
CrossRealmTrustKdc = "string",
CrossRealmTrustRealm = "string",
CrossRealmTrustSharedPasswordUri = "string",
EnableKerberos = false,
KdcDbKeyUri = "string",
KeyPasswordUri = "string",
KeystorePasswordUri = "string",
KeystoreUri = "string",
KmsKeyUri = "string",
Realm = "string",
RootPrincipalPasswordUri = "string",
TgtLifetimeHours = 0,
TruststorePasswordUri = "string",
TruststoreUri = "string",
},
},
SoftwareConfig = new GoogleNative.Dataproc.V1.Inputs.SoftwareConfigArgs
{
ImageVersion = "string",
OptionalComponents = new[]
{
GoogleNative.Dataproc.V1.SoftwareConfigOptionalComponentsItem.ComponentUnspecified,
},
Properties =
{
{ "string", "string" },
},
},
TempBucket = "string",
WorkerConfig = new GoogleNative.Dataproc.V1.Inputs.InstanceGroupConfigArgs
{
Accelerators = new[]
{
new GoogleNative.Dataproc.V1.Inputs.AcceleratorConfigArgs
{
AcceleratorCount = 0,
AcceleratorTypeUri = "string",
},
},
DiskConfig = new GoogleNative.Dataproc.V1.Inputs.DiskConfigArgs
{
BootDiskSizeGb = 0,
BootDiskType = "string",
LocalSsdInterface = "string",
NumLocalSsds = 0,
},
ImageUri = "string",
InstanceFlexibilityPolicy = new GoogleNative.Dataproc.V1.Inputs.InstanceFlexibilityPolicyArgs
{
InstanceSelectionList = new[]
{
new GoogleNative.Dataproc.V1.Inputs.InstanceSelectionArgs
{
MachineTypes = new[]
{
"string",
},
Rank = 0,
},
},
},
MachineTypeUri = "string",
MinCpuPlatform = "string",
MinNumInstances = 0,
NumInstances = 0,
Preemptibility = GoogleNative.Dataproc.V1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
StartupConfig = new GoogleNative.Dataproc.V1.Inputs.StartupConfigArgs
{
RequiredRegistrationFraction = 0,
},
},
},
Labels =
{
{ "string", "string" },
},
},
},
DagTimeout = "string",
EncryptionConfig = new GoogleNative.Dataproc.V1.Inputs.GoogleCloudDataprocV1WorkflowTemplateEncryptionConfigArgs
{
KmsKey = "string",
},
Id = "string",
Labels =
{
{ "string", "string" },
},
Location = "string",
Parameters = new[]
{
new GoogleNative.Dataproc.V1.Inputs.TemplateParameterArgs
{
Fields = new[]
{
"string",
},
Name = "string",
Description = "string",
Validation = new GoogleNative.Dataproc.V1.Inputs.ParameterValidationArgs
{
Regex = new GoogleNative.Dataproc.V1.Inputs.RegexValidationArgs
{
Regexes = new[]
{
"string",
},
},
Values = new GoogleNative.Dataproc.V1.Inputs.ValueValidationArgs
{
Values = new[]
{
"string",
},
},
},
},
},
Project = "string",
Version = 0,
});
example, err := dataproc.NewWorkflowTemplate(ctx, "workflowTemplateResource", &dataproc.WorkflowTemplateArgs{
Jobs: dataproc.OrderedJobArray{
&dataproc.OrderedJobArgs{
StepId: pulumi.String("string"),
PrestoJob: &dataproc.PrestoJobArgs{
ClientTags: pulumi.StringArray{
pulumi.String("string"),
},
ContinueOnFailure: pulumi.Bool(false),
LoggingConfig: &dataproc.LoggingConfigArgs{
DriverLogLevels: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
OutputFormat: pulumi.String("string"),
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
QueryFileUri: pulumi.String("string"),
QueryList: &dataproc.QueryListArgs{
Queries: pulumi.StringArray{
pulumi.String("string"),
},
},
},
HiveJob: &dataproc.HiveJobArgs{
ContinueOnFailure: pulumi.Bool(false),
JarFileUris: pulumi.StringArray{
pulumi.String("string"),
},
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
QueryFileUri: pulumi.String("string"),
QueryList: &dataproc.QueryListArgs{
Queries: pulumi.StringArray{
pulumi.String("string"),
},
},
ScriptVariables: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
Labels: pulumi.StringMap{
"string": pulumi.String("string"),
},
PigJob: &dataproc.PigJobArgs{
ContinueOnFailure: pulumi.Bool(false),
JarFileUris: pulumi.StringArray{
pulumi.String("string"),
},
LoggingConfig: &dataproc.LoggingConfigArgs{
DriverLogLevels: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
QueryFileUri: pulumi.String("string"),
QueryList: &dataproc.QueryListArgs{
Queries: pulumi.StringArray{
pulumi.String("string"),
},
},
ScriptVariables: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
PrerequisiteStepIds: pulumi.StringArray{
pulumi.String("string"),
},
FlinkJob: &dataproc.FlinkJobArgs{
Args: pulumi.StringArray{
pulumi.String("string"),
},
JarFileUris: pulumi.StringArray{
pulumi.String("string"),
},
LoggingConfig: &dataproc.LoggingConfigArgs{
DriverLogLevels: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
MainClass: pulumi.String("string"),
MainJarFileUri: pulumi.String("string"),
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
SavepointUri: pulumi.String("string"),
},
PysparkJob: &dataproc.PySparkJobArgs{
MainPythonFileUri: pulumi.String("string"),
ArchiveUris: pulumi.StringArray{
pulumi.String("string"),
},
Args: pulumi.StringArray{
pulumi.String("string"),
},
FileUris: pulumi.StringArray{
pulumi.String("string"),
},
JarFileUris: pulumi.StringArray{
pulumi.String("string"),
},
LoggingConfig: &dataproc.LoggingConfigArgs{
DriverLogLevels: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
PythonFileUris: pulumi.StringArray{
pulumi.String("string"),
},
},
Scheduling: &dataproc.JobSchedulingArgs{
MaxFailuresPerHour: pulumi.Int(0),
MaxFailuresTotal: pulumi.Int(0),
},
SparkJob: &dataproc.SparkJobArgs{
ArchiveUris: pulumi.StringArray{
pulumi.String("string"),
},
Args: pulumi.StringArray{
pulumi.String("string"),
},
FileUris: pulumi.StringArray{
pulumi.String("string"),
},
JarFileUris: pulumi.StringArray{
pulumi.String("string"),
},
LoggingConfig: &dataproc.LoggingConfigArgs{
DriverLogLevels: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
MainClass: pulumi.String("string"),
MainJarFileUri: pulumi.String("string"),
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
SparkRJob: &dataproc.SparkRJobArgs{
MainRFileUri: pulumi.String("string"),
ArchiveUris: pulumi.StringArray{
pulumi.String("string"),
},
Args: pulumi.StringArray{
pulumi.String("string"),
},
FileUris: pulumi.StringArray{
pulumi.String("string"),
},
LoggingConfig: &dataproc.LoggingConfigArgs{
DriverLogLevels: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
SparkSqlJob: &dataproc.SparkSqlJobArgs{
JarFileUris: pulumi.StringArray{
pulumi.String("string"),
},
LoggingConfig: &dataproc.LoggingConfigArgs{
DriverLogLevels: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
QueryFileUri: pulumi.String("string"),
QueryList: &dataproc.QueryListArgs{
Queries: pulumi.StringArray{
pulumi.String("string"),
},
},
ScriptVariables: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
HadoopJob: &dataproc.HadoopJobArgs{
ArchiveUris: pulumi.StringArray{
pulumi.String("string"),
},
Args: pulumi.StringArray{
pulumi.String("string"),
},
FileUris: pulumi.StringArray{
pulumi.String("string"),
},
JarFileUris: pulumi.StringArray{
pulumi.String("string"),
},
LoggingConfig: &dataproc.LoggingConfigArgs{
DriverLogLevels: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
MainClass: pulumi.String("string"),
MainJarFileUri: pulumi.String("string"),
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
TrinoJob: &dataproc.TrinoJobArgs{
ClientTags: pulumi.StringArray{
pulumi.String("string"),
},
ContinueOnFailure: pulumi.Bool(false),
LoggingConfig: &dataproc.LoggingConfigArgs{
DriverLogLevels: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
OutputFormat: pulumi.String("string"),
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
QueryFileUri: pulumi.String("string"),
QueryList: &dataproc.QueryListArgs{
Queries: pulumi.StringArray{
pulumi.String("string"),
},
},
},
},
},
Placement: &dataproc.WorkflowTemplatePlacementArgs{
ClusterSelector: &dataproc.ClusterSelectorArgs{
ClusterLabels: pulumi.StringMap{
"string": pulumi.String("string"),
},
Zone: pulumi.String("string"),
},
ManagedCluster: &dataproc.ManagedClusterArgs{
ClusterName: pulumi.String("string"),
Config: &dataproc.ClusterConfigArgs{
AutoscalingConfig: &dataproc.AutoscalingConfigArgs{
PolicyUri: pulumi.String("string"),
},
AuxiliaryNodeGroups: dataproc.AuxiliaryNodeGroupArray{
&dataproc.AuxiliaryNodeGroupArgs{
NodeGroup: &dataproc.NodeGroupTypeArgs{
Roles: dataproc.NodeGroupRolesItemArray{
dataproc.NodeGroupRolesItemRoleUnspecified,
},
Labels: pulumi.StringMap{
"string": pulumi.String("string"),
},
Name: pulumi.String("string"),
NodeGroupConfig: &dataproc.InstanceGroupConfigArgs{
Accelerators: dataproc.AcceleratorConfigArray{
&dataproc.AcceleratorConfigArgs{
AcceleratorCount: pulumi.Int(0),
AcceleratorTypeUri: pulumi.String("string"),
},
},
DiskConfig: &dataproc.DiskConfigArgs{
BootDiskSizeGb: pulumi.Int(0),
BootDiskType: pulumi.String("string"),
LocalSsdInterface: pulumi.String("string"),
NumLocalSsds: pulumi.Int(0),
},
ImageUri: pulumi.String("string"),
InstanceFlexibilityPolicy: &dataproc.InstanceFlexibilityPolicyArgs{
InstanceSelectionList: dataproc.InstanceSelectionArray{
&dataproc.InstanceSelectionArgs{
MachineTypes: pulumi.StringArray{
pulumi.String("string"),
},
Rank: pulumi.Int(0),
},
},
},
MachineTypeUri: pulumi.String("string"),
MinCpuPlatform: pulumi.String("string"),
MinNumInstances: pulumi.Int(0),
NumInstances: pulumi.Int(0),
Preemptibility: dataproc.InstanceGroupConfigPreemptibilityPreemptibilityUnspecified,
StartupConfig: &dataproc.StartupConfigArgs{
RequiredRegistrationFraction: pulumi.Float64(0),
},
},
},
NodeGroupId: pulumi.String("string"),
},
},
ConfigBucket: pulumi.String("string"),
DataprocMetricConfig: &dataproc.DataprocMetricConfigArgs{
Metrics: dataproc.MetricArray{
&dataproc.MetricArgs{
MetricSource: dataproc.MetricMetricSourceMetricSourceUnspecified,
MetricOverrides: pulumi.StringArray{
pulumi.String("string"),
},
},
},
},
EncryptionConfig: &dataproc.EncryptionConfigArgs{
GcePdKmsKeyName: pulumi.String("string"),
KmsKey: pulumi.String("string"),
},
EndpointConfig: &dataproc.EndpointConfigArgs{
EnableHttpPortAccess: pulumi.Bool(false),
},
GceClusterConfig: &dataproc.GceClusterConfigArgs{
ConfidentialInstanceConfig: &dataproc.ConfidentialInstanceConfigArgs{
EnableConfidentialCompute: pulumi.Bool(false),
},
InternalIpOnly: pulumi.Bool(false),
Metadata: pulumi.StringMap{
"string": pulumi.String("string"),
},
NetworkUri: pulumi.String("string"),
NodeGroupAffinity: &dataproc.NodeGroupAffinityArgs{
NodeGroupUri: pulumi.String("string"),
},
PrivateIpv6GoogleAccess: dataproc.GceClusterConfigPrivateIpv6GoogleAccessPrivateIpv6GoogleAccessUnspecified,
ReservationAffinity: &dataproc.ReservationAffinityArgs{
ConsumeReservationType: dataproc.ReservationAffinityConsumeReservationTypeTypeUnspecified,
Key: pulumi.String("string"),
Values: pulumi.StringArray{
pulumi.String("string"),
},
},
ServiceAccount: pulumi.String("string"),
ServiceAccountScopes: pulumi.StringArray{
pulumi.String("string"),
},
ShieldedInstanceConfig: &dataproc.ShieldedInstanceConfigArgs{
EnableIntegrityMonitoring: pulumi.Bool(false),
EnableSecureBoot: pulumi.Bool(false),
EnableVtpm: pulumi.Bool(false),
},
SubnetworkUri: pulumi.String("string"),
Tags: pulumi.StringArray{
pulumi.String("string"),
},
ZoneUri: pulumi.String("string"),
},
GkeClusterConfig: &dataproc.GkeClusterConfigArgs{
GkeClusterTarget: pulumi.String("string"),
NodePoolTarget: dataproc.GkeNodePoolTargetArray{
&dataproc.GkeNodePoolTargetArgs{
NodePool: pulumi.String("string"),
Roles: dataproc.GkeNodePoolTargetRolesItemArray{
dataproc.GkeNodePoolTargetRolesItemRoleUnspecified,
},
NodePoolConfig: &dataproc.GkeNodePoolConfigArgs{
Autoscaling: &dataproc.GkeNodePoolAutoscalingConfigArgs{
MaxNodeCount: pulumi.Int(0),
MinNodeCount: pulumi.Int(0),
},
Config: &dataproc.GkeNodeConfigArgs{
Accelerators: dataproc.GkeNodePoolAcceleratorConfigArray{
&dataproc.GkeNodePoolAcceleratorConfigArgs{
AcceleratorCount: pulumi.String("string"),
AcceleratorType: pulumi.String("string"),
GpuPartitionSize: pulumi.String("string"),
},
},
BootDiskKmsKey: pulumi.String("string"),
LocalSsdCount: pulumi.Int(0),
MachineType: pulumi.String("string"),
MinCpuPlatform: pulumi.String("string"),
Preemptible: pulumi.Bool(false),
Spot: pulumi.Bool(false),
},
Locations: pulumi.StringArray{
pulumi.String("string"),
},
},
},
},
},
InitializationActions: dataproc.NodeInitializationActionArray{
&dataproc.NodeInitializationActionArgs{
ExecutableFile: pulumi.String("string"),
ExecutionTimeout: pulumi.String("string"),
},
},
LifecycleConfig: &dataproc.LifecycleConfigArgs{
AutoDeleteTime: pulumi.String("string"),
AutoDeleteTtl: pulumi.String("string"),
IdleDeleteTtl: pulumi.String("string"),
},
MasterConfig: &dataproc.InstanceGroupConfigArgs{
Accelerators: dataproc.AcceleratorConfigArray{
&dataproc.AcceleratorConfigArgs{
AcceleratorCount: pulumi.Int(0),
AcceleratorTypeUri: pulumi.String("string"),
},
},
DiskConfig: &dataproc.DiskConfigArgs{
BootDiskSizeGb: pulumi.Int(0),
BootDiskType: pulumi.String("string"),
LocalSsdInterface: pulumi.String("string"),
NumLocalSsds: pulumi.Int(0),
},
ImageUri: pulumi.String("string"),
InstanceFlexibilityPolicy: &dataproc.InstanceFlexibilityPolicyArgs{
InstanceSelectionList: dataproc.InstanceSelectionArray{
&dataproc.InstanceSelectionArgs{
MachineTypes: pulumi.StringArray{
pulumi.String("string"),
},
Rank: pulumi.Int(0),
},
},
},
MachineTypeUri: pulumi.String("string"),
MinCpuPlatform: pulumi.String("string"),
MinNumInstances: pulumi.Int(0),
NumInstances: pulumi.Int(0),
Preemptibility: dataproc.InstanceGroupConfigPreemptibilityPreemptibilityUnspecified,
StartupConfig: &dataproc.StartupConfigArgs{
RequiredRegistrationFraction: pulumi.Float64(0),
},
},
MetastoreConfig: &dataproc.MetastoreConfigArgs{
DataprocMetastoreService: pulumi.String("string"),
},
SecondaryWorkerConfig: &dataproc.InstanceGroupConfigArgs{
Accelerators: dataproc.AcceleratorConfigArray{
&dataproc.AcceleratorConfigArgs{
AcceleratorCount: pulumi.Int(0),
AcceleratorTypeUri: pulumi.String("string"),
},
},
DiskConfig: &dataproc.DiskConfigArgs{
BootDiskSizeGb: pulumi.Int(0),
BootDiskType: pulumi.String("string"),
LocalSsdInterface: pulumi.String("string"),
NumLocalSsds: pulumi.Int(0),
},
ImageUri: pulumi.String("string"),
InstanceFlexibilityPolicy: &dataproc.InstanceFlexibilityPolicyArgs{
InstanceSelectionList: dataproc.InstanceSelectionArray{
&dataproc.InstanceSelectionArgs{
MachineTypes: pulumi.StringArray{
pulumi.String("string"),
},
Rank: pulumi.Int(0),
},
},
},
MachineTypeUri: pulumi.String("string"),
MinCpuPlatform: pulumi.String("string"),
MinNumInstances: pulumi.Int(0),
NumInstances: pulumi.Int(0),
Preemptibility: dataproc.InstanceGroupConfigPreemptibilityPreemptibilityUnspecified,
StartupConfig: &dataproc.StartupConfigArgs{
RequiredRegistrationFraction: pulumi.Float64(0),
},
},
SecurityConfig: &dataproc.SecurityConfigArgs{
IdentityConfig: &dataproc.IdentityConfigArgs{
UserServiceAccountMapping: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
KerberosConfig: &dataproc.KerberosConfigArgs{
CrossRealmTrustAdminServer: pulumi.String("string"),
CrossRealmTrustKdc: pulumi.String("string"),
CrossRealmTrustRealm: pulumi.String("string"),
CrossRealmTrustSharedPasswordUri: pulumi.String("string"),
EnableKerberos: pulumi.Bool(false),
KdcDbKeyUri: pulumi.String("string"),
KeyPasswordUri: pulumi.String("string"),
KeystorePasswordUri: pulumi.String("string"),
KeystoreUri: pulumi.String("string"),
KmsKeyUri: pulumi.String("string"),
Realm: pulumi.String("string"),
RootPrincipalPasswordUri: pulumi.String("string"),
TgtLifetimeHours: pulumi.Int(0),
TruststorePasswordUri: pulumi.String("string"),
TruststoreUri: pulumi.String("string"),
},
},
SoftwareConfig: &dataproc.SoftwareConfigArgs{
ImageVersion: pulumi.String("string"),
OptionalComponents: dataproc.SoftwareConfigOptionalComponentsItemArray{
dataproc.SoftwareConfigOptionalComponentsItemComponentUnspecified,
},
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
TempBucket: pulumi.String("string"),
WorkerConfig: &dataproc.InstanceGroupConfigArgs{
Accelerators: dataproc.AcceleratorConfigArray{
&dataproc.AcceleratorConfigArgs{
AcceleratorCount: pulumi.Int(0),
AcceleratorTypeUri: pulumi.String("string"),
},
},
DiskConfig: &dataproc.DiskConfigArgs{
BootDiskSizeGb: pulumi.Int(0),
BootDiskType: pulumi.String("string"),
LocalSsdInterface: pulumi.String("string"),
NumLocalSsds: pulumi.Int(0),
},
ImageUri: pulumi.String("string"),
InstanceFlexibilityPolicy: &dataproc.InstanceFlexibilityPolicyArgs{
InstanceSelectionList: dataproc.InstanceSelectionArray{
&dataproc.InstanceSelectionArgs{
MachineTypes: pulumi.StringArray{
pulumi.String("string"),
},
Rank: pulumi.Int(0),
},
},
},
MachineTypeUri: pulumi.String("string"),
MinCpuPlatform: pulumi.String("string"),
MinNumInstances: pulumi.Int(0),
NumInstances: pulumi.Int(0),
Preemptibility: dataproc.InstanceGroupConfigPreemptibilityPreemptibilityUnspecified,
StartupConfig: &dataproc.StartupConfigArgs{
RequiredRegistrationFraction: pulumi.Float64(0),
},
},
},
Labels: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
},
DagTimeout: pulumi.String("string"),
EncryptionConfig: &dataproc.GoogleCloudDataprocV1WorkflowTemplateEncryptionConfigArgs{
KmsKey: pulumi.String("string"),
},
Id: pulumi.String("string"),
Labels: pulumi.StringMap{
"string": pulumi.String("string"),
},
Location: pulumi.String("string"),
Parameters: dataproc.TemplateParameterArray{
&dataproc.TemplateParameterArgs{
Fields: pulumi.StringArray{
pulumi.String("string"),
},
Name: pulumi.String("string"),
Description: pulumi.String("string"),
Validation: &dataproc.ParameterValidationArgs{
Regex: &dataproc.RegexValidationArgs{
Regexes: pulumi.StringArray{
pulumi.String("string"),
},
},
Values: &dataproc.ValueValidationArgs{
Values: pulumi.StringArray{
pulumi.String("string"),
},
},
},
},
},
Project: pulumi.String("string"),
Version: pulumi.Int(0),
})
var workflowTemplateResource = new WorkflowTemplate("workflowTemplateResource", WorkflowTemplateArgs.builder()
.jobs(OrderedJobArgs.builder()
.stepId("string")
.prestoJob(PrestoJobArgs.builder()
.clientTags("string")
.continueOnFailure(false)
.loggingConfig(LoggingConfigArgs.builder()
.driverLogLevels(Map.of("string", "string"))
.build())
.outputFormat("string")
.properties(Map.of("string", "string"))
.queryFileUri("string")
.queryList(QueryListArgs.builder()
.queries("string")
.build())
.build())
.hiveJob(HiveJobArgs.builder()
.continueOnFailure(false)
.jarFileUris("string")
.properties(Map.of("string", "string"))
.queryFileUri("string")
.queryList(QueryListArgs.builder()
.queries("string")
.build())
.scriptVariables(Map.of("string", "string"))
.build())
.labels(Map.of("string", "string"))
.pigJob(PigJobArgs.builder()
.continueOnFailure(false)
.jarFileUris("string")
.loggingConfig(LoggingConfigArgs.builder()
.driverLogLevels(Map.of("string", "string"))
.build())
.properties(Map.of("string", "string"))
.queryFileUri("string")
.queryList(QueryListArgs.builder()
.queries("string")
.build())
.scriptVariables(Map.of("string", "string"))
.build())
.prerequisiteStepIds("string")
.flinkJob(FlinkJobArgs.builder()
.args("string")
.jarFileUris("string")
.loggingConfig(LoggingConfigArgs.builder()
.driverLogLevels(Map.of("string", "string"))
.build())
.mainClass("string")
.mainJarFileUri("string")
.properties(Map.of("string", "string"))
.savepointUri("string")
.build())
.pysparkJob(PySparkJobArgs.builder()
.mainPythonFileUri("string")
.archiveUris("string")
.args("string")
.fileUris("string")
.jarFileUris("string")
.loggingConfig(LoggingConfigArgs.builder()
.driverLogLevels(Map.of("string", "string"))
.build())
.properties(Map.of("string", "string"))
.pythonFileUris("string")
.build())
.scheduling(JobSchedulingArgs.builder()
.maxFailuresPerHour(0)
.maxFailuresTotal(0)
.build())
.sparkJob(SparkJobArgs.builder()
.archiveUris("string")
.args("string")
.fileUris("string")
.jarFileUris("string")
.loggingConfig(LoggingConfigArgs.builder()
.driverLogLevels(Map.of("string", "string"))
.build())
.mainClass("string")
.mainJarFileUri("string")
.properties(Map.of("string", "string"))
.build())
.sparkRJob(SparkRJobArgs.builder()
.mainRFileUri("string")
.archiveUris("string")
.args("string")
.fileUris("string")
.loggingConfig(LoggingConfigArgs.builder()
.driverLogLevels(Map.of("string", "string"))
.build())
.properties(Map.of("string", "string"))
.build())
.sparkSqlJob(SparkSqlJobArgs.builder()
.jarFileUris("string")
.loggingConfig(LoggingConfigArgs.builder()
.driverLogLevels(Map.of("string", "string"))
.build())
.properties(Map.of("string", "string"))
.queryFileUri("string")
.queryList(QueryListArgs.builder()
.queries("string")
.build())
.scriptVariables(Map.of("string", "string"))
.build())
.hadoopJob(HadoopJobArgs.builder()
.archiveUris("string")
.args("string")
.fileUris("string")
.jarFileUris("string")
.loggingConfig(LoggingConfigArgs.builder()
.driverLogLevels(Map.of("string", "string"))
.build())
.mainClass("string")
.mainJarFileUri("string")
.properties(Map.of("string", "string"))
.build())
.trinoJob(TrinoJobArgs.builder()
.clientTags("string")
.continueOnFailure(false)
.loggingConfig(LoggingConfigArgs.builder()
.driverLogLevels(Map.of("string", "string"))
.build())
.outputFormat("string")
.properties(Map.of("string", "string"))
.queryFileUri("string")
.queryList(QueryListArgs.builder()
.queries("string")
.build())
.build())
.build())
.placement(WorkflowTemplatePlacementArgs.builder()
.clusterSelector(ClusterSelectorArgs.builder()
.clusterLabels(Map.of("string", "string"))
.zone("string")
.build())
.managedCluster(ManagedClusterArgs.builder()
.clusterName("string")
.config(ClusterConfigArgs.builder()
.autoscalingConfig(AutoscalingConfigArgs.builder()
.policyUri("string")
.build())
.auxiliaryNodeGroups(AuxiliaryNodeGroupArgs.builder()
.nodeGroup(NodeGroupArgs.builder()
.roles("ROLE_UNSPECIFIED")
.labels(Map.of("string", "string"))
.name("string")
.nodeGroupConfig(InstanceGroupConfigArgs.builder()
.accelerators(AcceleratorConfigArgs.builder()
.acceleratorCount(0)
.acceleratorTypeUri("string")
.build())
.diskConfig(DiskConfigArgs.builder()
.bootDiskSizeGb(0)
.bootDiskType("string")
.localSsdInterface("string")
.numLocalSsds(0)
.build())
.imageUri("string")
.instanceFlexibilityPolicy(InstanceFlexibilityPolicyArgs.builder()
.instanceSelectionList(InstanceSelectionArgs.builder()
.machineTypes("string")
.rank(0)
.build())
.build())
.machineTypeUri("string")
.minCpuPlatform("string")
.minNumInstances(0)
.numInstances(0)
.preemptibility("PREEMPTIBILITY_UNSPECIFIED")
.startupConfig(StartupConfigArgs.builder()
.requiredRegistrationFraction(0)
.build())
.build())
.build())
.nodeGroupId("string")
.build())
.configBucket("string")
.dataprocMetricConfig(DataprocMetricConfigArgs.builder()
.metrics(MetricArgs.builder()
.metricSource("METRIC_SOURCE_UNSPECIFIED")
.metricOverrides("string")
.build())
.build())
.encryptionConfig(EncryptionConfigArgs.builder()
.gcePdKmsKeyName("string")
.kmsKey("string")
.build())
.endpointConfig(EndpointConfigArgs.builder()
.enableHttpPortAccess(false)
.build())
.gceClusterConfig(GceClusterConfigArgs.builder()
.confidentialInstanceConfig(ConfidentialInstanceConfigArgs.builder()
.enableConfidentialCompute(false)
.build())
.internalIpOnly(false)
.metadata(Map.of("string", "string"))
.networkUri("string")
.nodeGroupAffinity(NodeGroupAffinityArgs.builder()
.nodeGroupUri("string")
.build())
.privateIpv6GoogleAccess("PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED")
.reservationAffinity(ReservationAffinityArgs.builder()
.consumeReservationType("TYPE_UNSPECIFIED")
.key("string")
.values("string")
.build())
.serviceAccount("string")
.serviceAccountScopes("string")
.shieldedInstanceConfig(ShieldedInstanceConfigArgs.builder()
.enableIntegrityMonitoring(false)
.enableSecureBoot(false)
.enableVtpm(false)
.build())
.subnetworkUri("string")
.tags("string")
.zoneUri("string")
.build())
.gkeClusterConfig(GkeClusterConfigArgs.builder()
.gkeClusterTarget("string")
.nodePoolTarget(GkeNodePoolTargetArgs.builder()
.nodePool("string")
.roles("ROLE_UNSPECIFIED")
.nodePoolConfig(GkeNodePoolConfigArgs.builder()
.autoscaling(GkeNodePoolAutoscalingConfigArgs.builder()
.maxNodeCount(0)
.minNodeCount(0)
.build())
.config(GkeNodeConfigArgs.builder()
.accelerators(GkeNodePoolAcceleratorConfigArgs.builder()
.acceleratorCount("string")
.acceleratorType("string")
.gpuPartitionSize("string")
.build())
.bootDiskKmsKey("string")
.localSsdCount(0)
.machineType("string")
.minCpuPlatform("string")
.preemptible(false)
.spot(false)
.build())
.locations("string")
.build())
.build())
.build())
.initializationActions(NodeInitializationActionArgs.builder()
.executableFile("string")
.executionTimeout("string")
.build())
.lifecycleConfig(LifecycleConfigArgs.builder()
.autoDeleteTime("string")
.autoDeleteTtl("string")
.idleDeleteTtl("string")
.build())
.masterConfig(InstanceGroupConfigArgs.builder()
.accelerators(AcceleratorConfigArgs.builder()
.acceleratorCount(0)
.acceleratorTypeUri("string")
.build())
.diskConfig(DiskConfigArgs.builder()
.bootDiskSizeGb(0)
.bootDiskType("string")
.localSsdInterface("string")
.numLocalSsds(0)
.build())
.imageUri("string")
.instanceFlexibilityPolicy(InstanceFlexibilityPolicyArgs.builder()
.instanceSelectionList(InstanceSelectionArgs.builder()
.machineTypes("string")
.rank(0)
.build())
.build())
.machineTypeUri("string")
.minCpuPlatform("string")
.minNumInstances(0)
.numInstances(0)
.preemptibility("PREEMPTIBILITY_UNSPECIFIED")
.startupConfig(StartupConfigArgs.builder()
.requiredRegistrationFraction(0)
.build())
.build())
.metastoreConfig(MetastoreConfigArgs.builder()
.dataprocMetastoreService("string")
.build())
.secondaryWorkerConfig(InstanceGroupConfigArgs.builder()
.accelerators(AcceleratorConfigArgs.builder()
.acceleratorCount(0)
.acceleratorTypeUri("string")
.build())
.diskConfig(DiskConfigArgs.builder()
.bootDiskSizeGb(0)
.bootDiskType("string")
.localSsdInterface("string")
.numLocalSsds(0)
.build())
.imageUri("string")
.instanceFlexibilityPolicy(InstanceFlexibilityPolicyArgs.builder()
.instanceSelectionList(InstanceSelectionArgs.builder()
.machineTypes("string")
.rank(0)
.build())
.build())
.machineTypeUri("string")
.minCpuPlatform("string")
.minNumInstances(0)
.numInstances(0)
.preemptibility("PREEMPTIBILITY_UNSPECIFIED")
.startupConfig(StartupConfigArgs.builder()
.requiredRegistrationFraction(0)
.build())
.build())
.securityConfig(SecurityConfigArgs.builder()
.identityConfig(IdentityConfigArgs.builder()
.userServiceAccountMapping(Map.of("string", "string"))
.build())
.kerberosConfig(KerberosConfigArgs.builder()
.crossRealmTrustAdminServer("string")
.crossRealmTrustKdc("string")
.crossRealmTrustRealm("string")
.crossRealmTrustSharedPasswordUri("string")
.enableKerberos(false)
.kdcDbKeyUri("string")
.keyPasswordUri("string")
.keystorePasswordUri("string")
.keystoreUri("string")
.kmsKeyUri("string")
.realm("string")
.rootPrincipalPasswordUri("string")
.tgtLifetimeHours(0)
.truststorePasswordUri("string")
.truststoreUri("string")
.build())
.build())
.softwareConfig(SoftwareConfigArgs.builder()
.imageVersion("string")
.optionalComponents("COMPONENT_UNSPECIFIED")
.properties(Map.of("string", "string"))
.build())
.tempBucket("string")
.workerConfig(InstanceGroupConfigArgs.builder()
.accelerators(AcceleratorConfigArgs.builder()
.acceleratorCount(0)
.acceleratorTypeUri("string")
.build())
.diskConfig(DiskConfigArgs.builder()
.bootDiskSizeGb(0)
.bootDiskType("string")
.localSsdInterface("string")
.numLocalSsds(0)
.build())
.imageUri("string")
.instanceFlexibilityPolicy(InstanceFlexibilityPolicyArgs.builder()
.instanceSelectionList(InstanceSelectionArgs.builder()
.machineTypes("string")
.rank(0)
.build())
.build())
.machineTypeUri("string")
.minCpuPlatform("string")
.minNumInstances(0)
.numInstances(0)
.preemptibility("PREEMPTIBILITY_UNSPECIFIED")
.startupConfig(StartupConfigArgs.builder()
.requiredRegistrationFraction(0)
.build())
.build())
.build())
.labels(Map.of("string", "string"))
.build())
.build())
.dagTimeout("string")
.encryptionConfig(GoogleCloudDataprocV1WorkflowTemplateEncryptionConfigArgs.builder()
.kmsKey("string")
.build())
.id("string")
.labels(Map.of("string", "string"))
.location("string")
.parameters(TemplateParameterArgs.builder()
.fields("string")
.name("string")
.description("string")
.validation(ParameterValidationArgs.builder()
.regex(RegexValidationArgs.builder()
.regexes("string")
.build())
.values(ValueValidationArgs.builder()
.values("string")
.build())
.build())
.build())
.project("string")
.version(0)
.build());
workflow_template_resource = google_native.dataproc.v1.WorkflowTemplate("workflowTemplateResource",
jobs=[{
"step_id": "string",
"presto_job": {
"client_tags": ["string"],
"continue_on_failure": False,
"logging_config": {
"driver_log_levels": {
"string": "string",
},
},
"output_format": "string",
"properties": {
"string": "string",
},
"query_file_uri": "string",
"query_list": {
"queries": ["string"],
},
},
"hive_job": {
"continue_on_failure": False,
"jar_file_uris": ["string"],
"properties": {
"string": "string",
},
"query_file_uri": "string",
"query_list": {
"queries": ["string"],
},
"script_variables": {
"string": "string",
},
},
"labels": {
"string": "string",
},
"pig_job": {
"continue_on_failure": False,
"jar_file_uris": ["string"],
"logging_config": {
"driver_log_levels": {
"string": "string",
},
},
"properties": {
"string": "string",
},
"query_file_uri": "string",
"query_list": {
"queries": ["string"],
},
"script_variables": {
"string": "string",
},
},
"prerequisite_step_ids": ["string"],
"flink_job": {
"args": ["string"],
"jar_file_uris": ["string"],
"logging_config": {
"driver_log_levels": {
"string": "string",
},
},
"main_class": "string",
"main_jar_file_uri": "string",
"properties": {
"string": "string",
},
"savepoint_uri": "string",
},
"pyspark_job": {
"main_python_file_uri": "string",
"archive_uris": ["string"],
"args": ["string"],
"file_uris": ["string"],
"jar_file_uris": ["string"],
"logging_config": {
"driver_log_levels": {
"string": "string",
},
},
"properties": {
"string": "string",
},
"python_file_uris": ["string"],
},
"scheduling": {
"max_failures_per_hour": 0,
"max_failures_total": 0,
},
"spark_job": {
"archive_uris": ["string"],
"args": ["string"],
"file_uris": ["string"],
"jar_file_uris": ["string"],
"logging_config": {
"driver_log_levels": {
"string": "string",
},
},
"main_class": "string",
"main_jar_file_uri": "string",
"properties": {
"string": "string",
},
},
"spark_r_job": {
"main_r_file_uri": "string",
"archive_uris": ["string"],
"args": ["string"],
"file_uris": ["string"],
"logging_config": {
"driver_log_levels": {
"string": "string",
},
},
"properties": {
"string": "string",
},
},
"spark_sql_job": {
"jar_file_uris": ["string"],
"logging_config": {
"driver_log_levels": {
"string": "string",
},
},
"properties": {
"string": "string",
},
"query_file_uri": "string",
"query_list": {
"queries": ["string"],
},
"script_variables": {
"string": "string",
},
},
"hadoop_job": {
"archive_uris": ["string"],
"args": ["string"],
"file_uris": ["string"],
"jar_file_uris": ["string"],
"logging_config": {
"driver_log_levels": {
"string": "string",
},
},
"main_class": "string",
"main_jar_file_uri": "string",
"properties": {
"string": "string",
},
},
"trino_job": {
"client_tags": ["string"],
"continue_on_failure": False,
"logging_config": {
"driver_log_levels": {
"string": "string",
},
},
"output_format": "string",
"properties": {
"string": "string",
},
"query_file_uri": "string",
"query_list": {
"queries": ["string"],
},
},
}],
placement={
"cluster_selector": {
"cluster_labels": {
"string": "string",
},
"zone": "string",
},
"managed_cluster": {
"cluster_name": "string",
"config": {
"autoscaling_config": {
"policy_uri": "string",
},
"auxiliary_node_groups": [{
"node_group": {
"roles": [google_native.dataproc.v1.NodeGroupRolesItem.ROLE_UNSPECIFIED],
"labels": {
"string": "string",
},
"name": "string",
"node_group_config": {
"accelerators": [{
"accelerator_count": 0,
"accelerator_type_uri": "string",
}],
"disk_config": {
"boot_disk_size_gb": 0,
"boot_disk_type": "string",
"local_ssd_interface": "string",
"num_local_ssds": 0,
},
"image_uri": "string",
"instance_flexibility_policy": {
"instance_selection_list": [{
"machine_types": ["string"],
"rank": 0,
}],
},
"machine_type_uri": "string",
"min_cpu_platform": "string",
"min_num_instances": 0,
"num_instances": 0,
"preemptibility": google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PREEMPTIBILITY_UNSPECIFIED,
"startup_config": {
"required_registration_fraction": 0,
},
},
},
"node_group_id": "string",
}],
"config_bucket": "string",
"dataproc_metric_config": {
"metrics": [{
"metric_source": google_native.dataproc.v1.MetricMetricSource.METRIC_SOURCE_UNSPECIFIED,
"metric_overrides": ["string"],
}],
},
"encryption_config": {
"gce_pd_kms_key_name": "string",
"kms_key": "string",
},
"endpoint_config": {
"enable_http_port_access": False,
},
"gce_cluster_config": {
"confidential_instance_config": {
"enable_confidential_compute": False,
},
"internal_ip_only": False,
"metadata": {
"string": "string",
},
"network_uri": "string",
"node_group_affinity": {
"node_group_uri": "string",
},
"private_ipv6_google_access": google_native.dataproc.v1.GceClusterConfigPrivateIpv6GoogleAccess.PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED,
"reservation_affinity": {
"consume_reservation_type": google_native.dataproc.v1.ReservationAffinityConsumeReservationType.TYPE_UNSPECIFIED,
"key": "string",
"values": ["string"],
},
"service_account": "string",
"service_account_scopes": ["string"],
"shielded_instance_config": {
"enable_integrity_monitoring": False,
"enable_secure_boot": False,
"enable_vtpm": False,
},
"subnetwork_uri": "string",
"tags": ["string"],
"zone_uri": "string",
},
"gke_cluster_config": {
"gke_cluster_target": "string",
"node_pool_target": [{
"node_pool": "string",
"roles": [google_native.dataproc.v1.GkeNodePoolTargetRolesItem.ROLE_UNSPECIFIED],
"node_pool_config": {
"autoscaling": {
"max_node_count": 0,
"min_node_count": 0,
},
"config": {
"accelerators": [{
"accelerator_count": "string",
"accelerator_type": "string",
"gpu_partition_size": "string",
}],
"boot_disk_kms_key": "string",
"local_ssd_count": 0,
"machine_type": "string",
"min_cpu_platform": "string",
"preemptible": False,
"spot": False,
},
"locations": ["string"],
},
}],
},
"initialization_actions": [{
"executable_file": "string",
"execution_timeout": "string",
}],
"lifecycle_config": {
"auto_delete_time": "string",
"auto_delete_ttl": "string",
"idle_delete_ttl": "string",
},
"master_config": {
"accelerators": [{
"accelerator_count": 0,
"accelerator_type_uri": "string",
}],
"disk_config": {
"boot_disk_size_gb": 0,
"boot_disk_type": "string",
"local_ssd_interface": "string",
"num_local_ssds": 0,
},
"image_uri": "string",
"instance_flexibility_policy": {
"instance_selection_list": [{
"machine_types": ["string"],
"rank": 0,
}],
},
"machine_type_uri": "string",
"min_cpu_platform": "string",
"min_num_instances": 0,
"num_instances": 0,
"preemptibility": google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PREEMPTIBILITY_UNSPECIFIED,
"startup_config": {
"required_registration_fraction": 0,
},
},
"metastore_config": {
"dataproc_metastore_service": "string",
},
"secondary_worker_config": {
"accelerators": [{
"accelerator_count": 0,
"accelerator_type_uri": "string",
}],
"disk_config": {
"boot_disk_size_gb": 0,
"boot_disk_type": "string",
"local_ssd_interface": "string",
"num_local_ssds": 0,
},
"image_uri": "string",
"instance_flexibility_policy": {
"instance_selection_list": [{
"machine_types": ["string"],
"rank": 0,
}],
},
"machine_type_uri": "string",
"min_cpu_platform": "string",
"min_num_instances": 0,
"num_instances": 0,
"preemptibility": google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PREEMPTIBILITY_UNSPECIFIED,
"startup_config": {
"required_registration_fraction": 0,
},
},
"security_config": {
"identity_config": {
"user_service_account_mapping": {
"string": "string",
},
},
"kerberos_config": {
"cross_realm_trust_admin_server": "string",
"cross_realm_trust_kdc": "string",
"cross_realm_trust_realm": "string",
"cross_realm_trust_shared_password_uri": "string",
"enable_kerberos": False,
"kdc_db_key_uri": "string",
"key_password_uri": "string",
"keystore_password_uri": "string",
"keystore_uri": "string",
"kms_key_uri": "string",
"realm": "string",
"root_principal_password_uri": "string",
"tgt_lifetime_hours": 0,
"truststore_password_uri": "string",
"truststore_uri": "string",
},
},
"software_config": {
"image_version": "string",
"optional_components": [google_native.dataproc.v1.SoftwareConfigOptionalComponentsItem.COMPONENT_UNSPECIFIED],
"properties": {
"string": "string",
},
},
"temp_bucket": "string",
"worker_config": {
"accelerators": [{
"accelerator_count": 0,
"accelerator_type_uri": "string",
}],
"disk_config": {
"boot_disk_size_gb": 0,
"boot_disk_type": "string",
"local_ssd_interface": "string",
"num_local_ssds": 0,
},
"image_uri": "string",
"instance_flexibility_policy": {
"instance_selection_list": [{
"machine_types": ["string"],
"rank": 0,
}],
},
"machine_type_uri": "string",
"min_cpu_platform": "string",
"min_num_instances": 0,
"num_instances": 0,
"preemptibility": google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PREEMPTIBILITY_UNSPECIFIED,
"startup_config": {
"required_registration_fraction": 0,
},
},
},
"labels": {
"string": "string",
},
},
},
dag_timeout="string",
encryption_config={
"kms_key": "string",
},
id="string",
labels={
"string": "string",
},
location="string",
parameters=[{
"fields": ["string"],
"name": "string",
"description": "string",
"validation": {
"regex": {
"regexes": ["string"],
},
"values": {
"values": ["string"],
},
},
}],
project="string",
version=0)
const workflowTemplateResource = new google_native.dataproc.v1.WorkflowTemplate("workflowTemplateResource", {
jobs: [{
stepId: "string",
prestoJob: {
clientTags: ["string"],
continueOnFailure: false,
loggingConfig: {
driverLogLevels: {
string: "string",
},
},
outputFormat: "string",
properties: {
string: "string",
},
queryFileUri: "string",
queryList: {
queries: ["string"],
},
},
hiveJob: {
continueOnFailure: false,
jarFileUris: ["string"],
properties: {
string: "string",
},
queryFileUri: "string",
queryList: {
queries: ["string"],
},
scriptVariables: {
string: "string",
},
},
labels: {
string: "string",
},
pigJob: {
continueOnFailure: false,
jarFileUris: ["string"],
loggingConfig: {
driverLogLevels: {
string: "string",
},
},
properties: {
string: "string",
},
queryFileUri: "string",
queryList: {
queries: ["string"],
},
scriptVariables: {
string: "string",
},
},
prerequisiteStepIds: ["string"],
flinkJob: {
args: ["string"],
jarFileUris: ["string"],
loggingConfig: {
driverLogLevels: {
string: "string",
},
},
mainClass: "string",
mainJarFileUri: "string",
properties: {
string: "string",
},
savepointUri: "string",
},
pysparkJob: {
mainPythonFileUri: "string",
archiveUris: ["string"],
args: ["string"],
fileUris: ["string"],
jarFileUris: ["string"],
loggingConfig: {
driverLogLevels: {
string: "string",
},
},
properties: {
string: "string",
},
pythonFileUris: ["string"],
},
scheduling: {
maxFailuresPerHour: 0,
maxFailuresTotal: 0,
},
sparkJob: {
archiveUris: ["string"],
args: ["string"],
fileUris: ["string"],
jarFileUris: ["string"],
loggingConfig: {
driverLogLevels: {
string: "string",
},
},
mainClass: "string",
mainJarFileUri: "string",
properties: {
string: "string",
},
},
sparkRJob: {
mainRFileUri: "string",
archiveUris: ["string"],
args: ["string"],
fileUris: ["string"],
loggingConfig: {
driverLogLevels: {
string: "string",
},
},
properties: {
string: "string",
},
},
sparkSqlJob: {
jarFileUris: ["string"],
loggingConfig: {
driverLogLevels: {
string: "string",
},
},
properties: {
string: "string",
},
queryFileUri: "string",
queryList: {
queries: ["string"],
},
scriptVariables: {
string: "string",
},
},
hadoopJob: {
archiveUris: ["string"],
args: ["string"],
fileUris: ["string"],
jarFileUris: ["string"],
loggingConfig: {
driverLogLevels: {
string: "string",
},
},
mainClass: "string",
mainJarFileUri: "string",
properties: {
string: "string",
},
},
trinoJob: {
clientTags: ["string"],
continueOnFailure: false,
loggingConfig: {
driverLogLevels: {
string: "string",
},
},
outputFormat: "string",
properties: {
string: "string",
},
queryFileUri: "string",
queryList: {
queries: ["string"],
},
},
}],
placement: {
clusterSelector: {
clusterLabels: {
string: "string",
},
zone: "string",
},
managedCluster: {
clusterName: "string",
config: {
autoscalingConfig: {
policyUri: "string",
},
auxiliaryNodeGroups: [{
nodeGroup: {
roles: [google_native.dataproc.v1.NodeGroupRolesItem.RoleUnspecified],
labels: {
string: "string",
},
name: "string",
nodeGroupConfig: {
accelerators: [{
acceleratorCount: 0,
acceleratorTypeUri: "string",
}],
diskConfig: {
bootDiskSizeGb: 0,
bootDiskType: "string",
localSsdInterface: "string",
numLocalSsds: 0,
},
imageUri: "string",
instanceFlexibilityPolicy: {
instanceSelectionList: [{
machineTypes: ["string"],
rank: 0,
}],
},
machineTypeUri: "string",
minCpuPlatform: "string",
minNumInstances: 0,
numInstances: 0,
preemptibility: google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
startupConfig: {
requiredRegistrationFraction: 0,
},
},
},
nodeGroupId: "string",
}],
configBucket: "string",
dataprocMetricConfig: {
metrics: [{
metricSource: google_native.dataproc.v1.MetricMetricSource.MetricSourceUnspecified,
metricOverrides: ["string"],
}],
},
encryptionConfig: {
gcePdKmsKeyName: "string",
kmsKey: "string",
},
endpointConfig: {
enableHttpPortAccess: false,
},
gceClusterConfig: {
confidentialInstanceConfig: {
enableConfidentialCompute: false,
},
internalIpOnly: false,
metadata: {
string: "string",
},
networkUri: "string",
nodeGroupAffinity: {
nodeGroupUri: "string",
},
privateIpv6GoogleAccess: google_native.dataproc.v1.GceClusterConfigPrivateIpv6GoogleAccess.PrivateIpv6GoogleAccessUnspecified,
reservationAffinity: {
consumeReservationType: google_native.dataproc.v1.ReservationAffinityConsumeReservationType.TypeUnspecified,
key: "string",
values: ["string"],
},
serviceAccount: "string",
serviceAccountScopes: ["string"],
shieldedInstanceConfig: {
enableIntegrityMonitoring: false,
enableSecureBoot: false,
enableVtpm: false,
},
subnetworkUri: "string",
tags: ["string"],
zoneUri: "string",
},
gkeClusterConfig: {
gkeClusterTarget: "string",
nodePoolTarget: [{
nodePool: "string",
roles: [google_native.dataproc.v1.GkeNodePoolTargetRolesItem.RoleUnspecified],
nodePoolConfig: {
autoscaling: {
maxNodeCount: 0,
minNodeCount: 0,
},
config: {
accelerators: [{
acceleratorCount: "string",
acceleratorType: "string",
gpuPartitionSize: "string",
}],
bootDiskKmsKey: "string",
localSsdCount: 0,
machineType: "string",
minCpuPlatform: "string",
preemptible: false,
spot: false,
},
locations: ["string"],
},
}],
},
initializationActions: [{
executableFile: "string",
executionTimeout: "string",
}],
lifecycleConfig: {
autoDeleteTime: "string",
autoDeleteTtl: "string",
idleDeleteTtl: "string",
},
masterConfig: {
accelerators: [{
acceleratorCount: 0,
acceleratorTypeUri: "string",
}],
diskConfig: {
bootDiskSizeGb: 0,
bootDiskType: "string",
localSsdInterface: "string",
numLocalSsds: 0,
},
imageUri: "string",
instanceFlexibilityPolicy: {
instanceSelectionList: [{
machineTypes: ["string"],
rank: 0,
}],
},
machineTypeUri: "string",
minCpuPlatform: "string",
minNumInstances: 0,
numInstances: 0,
preemptibility: google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
startupConfig: {
requiredRegistrationFraction: 0,
},
},
metastoreConfig: {
dataprocMetastoreService: "string",
},
secondaryWorkerConfig: {
accelerators: [{
acceleratorCount: 0,
acceleratorTypeUri: "string",
}],
diskConfig: {
bootDiskSizeGb: 0,
bootDiskType: "string",
localSsdInterface: "string",
numLocalSsds: 0,
},
imageUri: "string",
instanceFlexibilityPolicy: {
instanceSelectionList: [{
machineTypes: ["string"],
rank: 0,
}],
},
machineTypeUri: "string",
minCpuPlatform: "string",
minNumInstances: 0,
numInstances: 0,
preemptibility: google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
startupConfig: {
requiredRegistrationFraction: 0,
},
},
securityConfig: {
identityConfig: {
userServiceAccountMapping: {
string: "string",
},
},
kerberosConfig: {
crossRealmTrustAdminServer: "string",
crossRealmTrustKdc: "string",
crossRealmTrustRealm: "string",
crossRealmTrustSharedPasswordUri: "string",
enableKerberos: false,
kdcDbKeyUri: "string",
keyPasswordUri: "string",
keystorePasswordUri: "string",
keystoreUri: "string",
kmsKeyUri: "string",
realm: "string",
rootPrincipalPasswordUri: "string",
tgtLifetimeHours: 0,
truststorePasswordUri: "string",
truststoreUri: "string",
},
},
softwareConfig: {
imageVersion: "string",
optionalComponents: [google_native.dataproc.v1.SoftwareConfigOptionalComponentsItem.ComponentUnspecified],
properties: {
string: "string",
},
},
tempBucket: "string",
workerConfig: {
accelerators: [{
acceleratorCount: 0,
acceleratorTypeUri: "string",
}],
diskConfig: {
bootDiskSizeGb: 0,
bootDiskType: "string",
localSsdInterface: "string",
numLocalSsds: 0,
},
imageUri: "string",
instanceFlexibilityPolicy: {
instanceSelectionList: [{
machineTypes: ["string"],
rank: 0,
}],
},
machineTypeUri: "string",
minCpuPlatform: "string",
minNumInstances: 0,
numInstances: 0,
preemptibility: google_native.dataproc.v1.InstanceGroupConfigPreemptibility.PreemptibilityUnspecified,
startupConfig: {
requiredRegistrationFraction: 0,
},
},
},
labels: {
string: "string",
},
},
},
dagTimeout: "string",
encryptionConfig: {
kmsKey: "string",
},
id: "string",
labels: {
string: "string",
},
location: "string",
parameters: [{
fields: ["string"],
name: "string",
description: "string",
validation: {
regex: {
regexes: ["string"],
},
values: {
values: ["string"],
},
},
}],
project: "string",
version: 0,
});
type: google-native:dataproc/v1:WorkflowTemplate
properties:
dagTimeout: string
encryptionConfig:
kmsKey: string
id: string
jobs:
- flinkJob:
args:
- string
jarFileUris:
- string
loggingConfig:
driverLogLevels:
string: string
mainClass: string
mainJarFileUri: string
properties:
string: string
savepointUri: string
hadoopJob:
archiveUris:
- string
args:
- string
fileUris:
- string
jarFileUris:
- string
loggingConfig:
driverLogLevels:
string: string
mainClass: string
mainJarFileUri: string
properties:
string: string
hiveJob:
continueOnFailure: false
jarFileUris:
- string
properties:
string: string
queryFileUri: string
queryList:
queries:
- string
scriptVariables:
string: string
labels:
string: string
pigJob:
continueOnFailure: false
jarFileUris:
- string
loggingConfig:
driverLogLevels:
string: string
properties:
string: string
queryFileUri: string
queryList:
queries:
- string
scriptVariables:
string: string
prerequisiteStepIds:
- string
prestoJob:
clientTags:
- string
continueOnFailure: false
loggingConfig:
driverLogLevels:
string: string
outputFormat: string
properties:
string: string
queryFileUri: string
queryList:
queries:
- string
pysparkJob:
archiveUris:
- string
args:
- string
fileUris:
- string
jarFileUris:
- string
loggingConfig:
driverLogLevels:
string: string
mainPythonFileUri: string
properties:
string: string
pythonFileUris:
- string
scheduling:
maxFailuresPerHour: 0
maxFailuresTotal: 0
sparkJob:
archiveUris:
- string
args:
- string
fileUris:
- string
jarFileUris:
- string
loggingConfig:
driverLogLevels:
string: string
mainClass: string
mainJarFileUri: string
properties:
string: string
sparkRJob:
archiveUris:
- string
args:
- string
fileUris:
- string
loggingConfig:
driverLogLevels:
string: string
mainRFileUri: string
properties:
string: string
sparkSqlJob:
jarFileUris:
- string
loggingConfig:
driverLogLevels:
string: string
properties:
string: string
queryFileUri: string
queryList:
queries:
- string
scriptVariables:
string: string
stepId: string
trinoJob:
clientTags:
- string
continueOnFailure: false
loggingConfig:
driverLogLevels:
string: string
outputFormat: string
properties:
string: string
queryFileUri: string
queryList:
queries:
- string
labels:
string: string
location: string
parameters:
- description: string
fields:
- string
name: string
validation:
regex:
regexes:
- string
values:
values:
- string
placement:
clusterSelector:
clusterLabels:
string: string
zone: string
managedCluster:
clusterName: string
config:
autoscalingConfig:
policyUri: string
auxiliaryNodeGroups:
- nodeGroup:
labels:
string: string
name: string
nodeGroupConfig:
accelerators:
- acceleratorCount: 0
acceleratorTypeUri: string
diskConfig:
bootDiskSizeGb: 0
bootDiskType: string
localSsdInterface: string
numLocalSsds: 0
imageUri: string
instanceFlexibilityPolicy:
instanceSelectionList:
- machineTypes:
- string
rank: 0
machineTypeUri: string
minCpuPlatform: string
minNumInstances: 0
numInstances: 0
preemptibility: PREEMPTIBILITY_UNSPECIFIED
startupConfig:
requiredRegistrationFraction: 0
roles:
- ROLE_UNSPECIFIED
nodeGroupId: string
configBucket: string
dataprocMetricConfig:
metrics:
- metricOverrides:
- string
metricSource: METRIC_SOURCE_UNSPECIFIED
encryptionConfig:
gcePdKmsKeyName: string
kmsKey: string
endpointConfig:
enableHttpPortAccess: false
gceClusterConfig:
confidentialInstanceConfig:
enableConfidentialCompute: false
internalIpOnly: false
metadata:
string: string
networkUri: string
nodeGroupAffinity:
nodeGroupUri: string
privateIpv6GoogleAccess: PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED
reservationAffinity:
consumeReservationType: TYPE_UNSPECIFIED
key: string
values:
- string
serviceAccount: string
serviceAccountScopes:
- string
shieldedInstanceConfig:
enableIntegrityMonitoring: false
enableSecureBoot: false
enableVtpm: false
subnetworkUri: string
tags:
- string
zoneUri: string
gkeClusterConfig:
gkeClusterTarget: string
nodePoolTarget:
- nodePool: string
nodePoolConfig:
autoscaling:
maxNodeCount: 0
minNodeCount: 0
config:
accelerators:
- acceleratorCount: string
acceleratorType: string
gpuPartitionSize: string
bootDiskKmsKey: string
localSsdCount: 0
machineType: string
minCpuPlatform: string
preemptible: false
spot: false
locations:
- string
roles:
- ROLE_UNSPECIFIED
initializationActions:
- executableFile: string
executionTimeout: string
lifecycleConfig:
autoDeleteTime: string
autoDeleteTtl: string
idleDeleteTtl: string
masterConfig:
accelerators:
- acceleratorCount: 0
acceleratorTypeUri: string
diskConfig:
bootDiskSizeGb: 0
bootDiskType: string
localSsdInterface: string
numLocalSsds: 0
imageUri: string
instanceFlexibilityPolicy:
instanceSelectionList:
- machineTypes:
- string
rank: 0
machineTypeUri: string
minCpuPlatform: string
minNumInstances: 0
numInstances: 0
preemptibility: PREEMPTIBILITY_UNSPECIFIED
startupConfig:
requiredRegistrationFraction: 0
metastoreConfig:
dataprocMetastoreService: string
secondaryWorkerConfig:
accelerators:
- acceleratorCount: 0
acceleratorTypeUri: string
diskConfig:
bootDiskSizeGb: 0
bootDiskType: string
localSsdInterface: string
numLocalSsds: 0
imageUri: string
instanceFlexibilityPolicy:
instanceSelectionList:
- machineTypes:
- string
rank: 0
machineTypeUri: string
minCpuPlatform: string
minNumInstances: 0
numInstances: 0
preemptibility: PREEMPTIBILITY_UNSPECIFIED
startupConfig:
requiredRegistrationFraction: 0
securityConfig:
identityConfig:
userServiceAccountMapping:
string: string
kerberosConfig:
crossRealmTrustAdminServer: string
crossRealmTrustKdc: string
crossRealmTrustRealm: string
crossRealmTrustSharedPasswordUri: string
enableKerberos: false
kdcDbKeyUri: string
keyPasswordUri: string
keystorePasswordUri: string
keystoreUri: string
kmsKeyUri: string
realm: string
rootPrincipalPasswordUri: string
tgtLifetimeHours: 0
truststorePasswordUri: string
truststoreUri: string
softwareConfig:
imageVersion: string
optionalComponents:
- COMPONENT_UNSPECIFIED
properties:
string: string
tempBucket: string
workerConfig:
accelerators:
- acceleratorCount: 0
acceleratorTypeUri: string
diskConfig:
bootDiskSizeGb: 0
bootDiskType: string
localSsdInterface: string
numLocalSsds: 0
imageUri: string
instanceFlexibilityPolicy:
instanceSelectionList:
- machineTypes:
- string
rank: 0
machineTypeUri: string
minCpuPlatform: string
minNumInstances: 0
numInstances: 0
preemptibility: PREEMPTIBILITY_UNSPECIFIED
startupConfig:
requiredRegistrationFraction: 0
labels:
string: string
project: string
version: 0
WorkflowTemplate 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 WorkflowTemplate resource accepts the following input properties:
- Jobs
List<Pulumi.
Google Native. Dataproc. V1. Inputs. Ordered Job> - The Directed Acyclic Graph of Jobs to submit.
- Placement
Pulumi.
Google Native. Dataproc. V1. Inputs. Workflow Template Placement - WorkflowTemplate scheduling information.
- Dag
Timeout string - Optional. Timeout duration for the DAG of jobs, expressed in seconds (see JSON representation of duration (https://developers.google.com/protocol-buffers/docs/proto3#json)). The timeout duration must be from 10 minutes ("600s") to 24 hours ("86400s"). The timer begins when the first job is submitted. If the workflow is running at the end of the timeout period, any remaining jobs are cancelled, the workflow is ended, and if the workflow was running on a managed cluster, the cluster is deleted.
- Encryption
Config Pulumi.Google Native. Dataproc. V1. Inputs. Google Cloud Dataproc V1Workflow Template Encryption Config - Optional. Encryption settings for the encrypting customer core content.
- Id string
- Labels Dictionary<string, string>
- Optional. The labels to associate with this template. These labels will be propagated to all jobs and clusters created by the workflow instance.Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).No more than 32 labels can be associated with a template.
- Location string
- Parameters
List<Pulumi.
Google Native. Dataproc. V1. Inputs. Template Parameter> - Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.
- Project string
- Version int
- Optional. Used to perform a consistent read-modify-write.This field should be left blank for a CreateWorkflowTemplate request. It is required for an UpdateWorkflowTemplate request, and must match the current server version. A typical update template flow would fetch the current template with a GetWorkflowTemplate request, which will return the current template with the version field filled in with the current server version. The user updates other fields in the template, then returns it as part of the UpdateWorkflowTemplate request.
- Jobs
[]Ordered
Job Args - The Directed Acyclic Graph of Jobs to submit.
- Placement
Workflow
Template Placement Args - WorkflowTemplate scheduling information.
- Dag
Timeout string - Optional. Timeout duration for the DAG of jobs, expressed in seconds (see JSON representation of duration (https://developers.google.com/protocol-buffers/docs/proto3#json)). The timeout duration must be from 10 minutes ("600s") to 24 hours ("86400s"). The timer begins when the first job is submitted. If the workflow is running at the end of the timeout period, any remaining jobs are cancelled, the workflow is ended, and if the workflow was running on a managed cluster, the cluster is deleted.
- Encryption
Config GoogleCloud Dataproc V1Workflow Template Encryption Config Args - Optional. Encryption settings for the encrypting customer core content.
- Id string
- Labels map[string]string
- Optional. The labels to associate with this template. These labels will be propagated to all jobs and clusters created by the workflow instance.Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).No more than 32 labels can be associated with a template.
- Location string
- Parameters
[]Template
Parameter Args - Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.
- Project string
- Version int
- Optional. Used to perform a consistent read-modify-write.This field should be left blank for a CreateWorkflowTemplate request. It is required for an UpdateWorkflowTemplate request, and must match the current server version. A typical update template flow would fetch the current template with a GetWorkflowTemplate request, which will return the current template with the version field filled in with the current server version. The user updates other fields in the template, then returns it as part of the UpdateWorkflowTemplate request.
- jobs
List<Ordered
Job> - The Directed Acyclic Graph of Jobs to submit.
- placement
Workflow
Template Placement - WorkflowTemplate scheduling information.
- dag
Timeout String - Optional. Timeout duration for the DAG of jobs, expressed in seconds (see JSON representation of duration (https://developers.google.com/protocol-buffers/docs/proto3#json)). The timeout duration must be from 10 minutes ("600s") to 24 hours ("86400s"). The timer begins when the first job is submitted. If the workflow is running at the end of the timeout period, any remaining jobs are cancelled, the workflow is ended, and if the workflow was running on a managed cluster, the cluster is deleted.
- encryption
Config GoogleCloud Dataproc V1Workflow Template Encryption Config - Optional. Encryption settings for the encrypting customer core content.
- id String
- labels Map<String,String>
- Optional. The labels to associate with this template. These labels will be propagated to all jobs and clusters created by the workflow instance.Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).No more than 32 labels can be associated with a template.
- location String
- parameters
List<Template
Parameter> - Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.
- project String
- version Integer
- Optional. Used to perform a consistent read-modify-write.This field should be left blank for a CreateWorkflowTemplate request. It is required for an UpdateWorkflowTemplate request, and must match the current server version. A typical update template flow would fetch the current template with a GetWorkflowTemplate request, which will return the current template with the version field filled in with the current server version. The user updates other fields in the template, then returns it as part of the UpdateWorkflowTemplate request.
- jobs
Ordered
Job[] - The Directed Acyclic Graph of Jobs to submit.
- placement
Workflow
Template Placement - WorkflowTemplate scheduling information.
- dag
Timeout string - Optional. Timeout duration for the DAG of jobs, expressed in seconds (see JSON representation of duration (https://developers.google.com/protocol-buffers/docs/proto3#json)). The timeout duration must be from 10 minutes ("600s") to 24 hours ("86400s"). The timer begins when the first job is submitted. If the workflow is running at the end of the timeout period, any remaining jobs are cancelled, the workflow is ended, and if the workflow was running on a managed cluster, the cluster is deleted.
- encryption
Config GoogleCloud Dataproc V1Workflow Template Encryption Config - Optional. Encryption settings for the encrypting customer core content.
- id string
- labels {[key: string]: string}
- Optional. The labels to associate with this template. These labels will be propagated to all jobs and clusters created by the workflow instance.Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).No more than 32 labels can be associated with a template.
- location string
- parameters
Template
Parameter[] - Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.
- project string
- version number
- Optional. Used to perform a consistent read-modify-write.This field should be left blank for a CreateWorkflowTemplate request. It is required for an UpdateWorkflowTemplate request, and must match the current server version. A typical update template flow would fetch the current template with a GetWorkflowTemplate request, which will return the current template with the version field filled in with the current server version. The user updates other fields in the template, then returns it as part of the UpdateWorkflowTemplate request.
- jobs
Sequence[Ordered
Job Args] - The Directed Acyclic Graph of Jobs to submit.
- placement
Workflow
Template Placement Args - WorkflowTemplate scheduling information.
- dag_
timeout str - Optional. Timeout duration for the DAG of jobs, expressed in seconds (see JSON representation of duration (https://developers.google.com/protocol-buffers/docs/proto3#json)). The timeout duration must be from 10 minutes ("600s") to 24 hours ("86400s"). The timer begins when the first job is submitted. If the workflow is running at the end of the timeout period, any remaining jobs are cancelled, the workflow is ended, and if the workflow was running on a managed cluster, the cluster is deleted.
- encryption_
config GoogleCloud Dataproc V1Workflow Template Encryption Config Args - Optional. Encryption settings for the encrypting customer core content.
- id str
- labels Mapping[str, str]
- Optional. The labels to associate with this template. These labels will be propagated to all jobs and clusters created by the workflow instance.Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).No more than 32 labels can be associated with a template.
- location str
- parameters
Sequence[Template
Parameter Args] - Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.
- project str
- version int
- Optional. Used to perform a consistent read-modify-write.This field should be left blank for a CreateWorkflowTemplate request. It is required for an UpdateWorkflowTemplate request, and must match the current server version. A typical update template flow would fetch the current template with a GetWorkflowTemplate request, which will return the current template with the version field filled in with the current server version. The user updates other fields in the template, then returns it as part of the UpdateWorkflowTemplate request.
- jobs List<Property Map>
- The Directed Acyclic Graph of Jobs to submit.
- placement Property Map
- WorkflowTemplate scheduling information.
- dag
Timeout String - Optional. Timeout duration for the DAG of jobs, expressed in seconds (see JSON representation of duration (https://developers.google.com/protocol-buffers/docs/proto3#json)). The timeout duration must be from 10 minutes ("600s") to 24 hours ("86400s"). The timer begins when the first job is submitted. If the workflow is running at the end of the timeout period, any remaining jobs are cancelled, the workflow is ended, and if the workflow was running on a managed cluster, the cluster is deleted.
- encryption
Config Property Map - Optional. Encryption settings for the encrypting customer core content.
- id String
- labels Map<String>
- Optional. The labels to associate with this template. These labels will be propagated to all jobs and clusters created by the workflow instance.Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt).No more than 32 labels can be associated with a template.
- location String
- parameters List<Property Map>
- Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.
- project String
- version Number
- Optional. Used to perform a consistent read-modify-write.This field should be left blank for a CreateWorkflowTemplate request. It is required for an UpdateWorkflowTemplate request, and must match the current server version. A typical update template flow would fetch the current template with a GetWorkflowTemplate request, which will return the current template with the version field filled in with the current server version. The user updates other fields in the template, then returns it as part of the UpdateWorkflowTemplate request.
Outputs
All input properties are implicitly available as output properties. Additionally, the WorkflowTemplate resource produces the following output properties:
- Create
Time string - The time template was created.
- Id string
- The provider-assigned unique ID for this managed resource.
- Name string
- The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. For projects.regions.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/regions/{region}/workflowTemplates/{template_id} For projects.locations.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
- Update
Time string - The time template was last updated.
- Create
Time string - The time template was created.
- Id string
- The provider-assigned unique ID for this managed resource.
- Name string
- The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. For projects.regions.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/regions/{region}/workflowTemplates/{template_id} For projects.locations.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
- Update
Time string - The time template was last updated.
- create
Time String - The time template was created.
- id String
- The provider-assigned unique ID for this managed resource.
- name String
- The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. For projects.regions.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/regions/{region}/workflowTemplates/{template_id} For projects.locations.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
- update
Time String - The time template was last updated.
- create
Time string - The time template was created.
- id string
- The provider-assigned unique ID for this managed resource.
- name string
- The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. For projects.regions.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/regions/{region}/workflowTemplates/{template_id} For projects.locations.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
- update
Time string - The time template was last updated.
- create_
time str - The time template was created.
- id str
- The provider-assigned unique ID for this managed resource.
- name str
- The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. For projects.regions.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/regions/{region}/workflowTemplates/{template_id} For projects.locations.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
- update_
time str - The time template was last updated.
- create
Time String - The time template was created.
- id String
- The provider-assigned unique ID for this managed resource.
- name String
- The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names. For projects.regions.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/regions/{region}/workflowTemplates/{template_id} For projects.locations.workflowTemplates, the resource name of the template has the following format: projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
- update
Time String - The time template was last updated.
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.
AutoscalingConfig, AutoscalingConfigArgs
- Policy
Uri string - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
- Policy
Uri string - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
- policy
Uri String - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
- policy
Uri string - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
- policy_
uri str - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
- policy
Uri String - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
AutoscalingConfigResponse, AutoscalingConfigResponseArgs
- Policy
Uri string - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
- Policy
Uri string - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
- policy
Uri String - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
- policy
Uri string - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
- policy_
uri str - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
- policy
Uri String - Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id] projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Dataproc region.
AuxiliaryNodeGroup, AuxiliaryNodeGroupArgs
- Node
Group Pulumi.Google Native. Dataproc. V1. Inputs. Node Group - Node group configuration.
- Node
Group stringId - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
- Node
Group NodeGroup Type - Node group configuration.
- Node
Group stringId - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
- node
Group NodeGroup - Node group configuration.
- node
Group StringId - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
- node
Group NodeGroup - Node group configuration.
- node
Group stringId - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
- node_
group NodeGroup - Node group configuration.
- node_
group_ strid - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
- node
Group Property Map - Node group configuration.
- node
Group StringId - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
AuxiliaryNodeGroupResponse, AuxiliaryNodeGroupResponseArgs
- Node
Group Pulumi.Google Native. Dataproc. V1. Inputs. Node Group Response - Node group configuration.
- Node
Group stringId - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
- Node
Group NodeGroup Response - Node group configuration.
- Node
Group stringId - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
- node
Group NodeGroup Response - Node group configuration.
- node
Group StringId - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
- node
Group NodeGroup Response - Node group configuration.
- node
Group stringId - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
- node_
group NodeGroup Response - Node group configuration.
- node_
group_ strid - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
- node
Group Property Map - Node group configuration.
- node
Group StringId - Optional. A node group ID. Generated if not specified.The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of from 3 to 33 characters.
ClusterConfig, ClusterConfigArgs
- Autoscaling
Config Pulumi.Google Native. Dataproc. V1. Inputs. Autoscaling Config - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- Auxiliary
Node List<Pulumi.Groups Google Native. Dataproc. V1. Inputs. Auxiliary Node Group> - Optional. The node group settings.
- Config
Bucket string - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- Dataproc
Metric Pulumi.Config Google Native. Dataproc. V1. Inputs. Dataproc Metric Config - Optional. The config for Dataproc metrics.
- Encryption
Config Pulumi.Google Native. Dataproc. V1. Inputs. Encryption Config - Optional. Encryption settings for the cluster.
- Endpoint
Config Pulumi.Google Native. Dataproc. V1. Inputs. Endpoint Config - Optional. Port/endpoint configuration for this cluster
- Gce
Cluster Pulumi.Config Google Native. Dataproc. V1. Inputs. Gce Cluster Config - Optional. The shared Compute Engine config settings for all instances in a cluster.
- Gke
Cluster Pulumi.Config Google Native. Dataproc. V1. Inputs. Gke Cluster Config - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- Initialization
Actions List<Pulumi.Google Native. Dataproc. V1. Inputs. Node Initialization Action> - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- Lifecycle
Config Pulumi.Google Native. Dataproc. V1. Inputs. Lifecycle Config - Optional. Lifecycle setting for the cluster.
- Master
Config Pulumi.Google Native. Dataproc. V1. Inputs. Instance Group Config - Optional. The Compute Engine config settings for the cluster's master instance.
- Metastore
Config Pulumi.Google Native. Dataproc. V1. Inputs. Metastore Config - Optional. Metastore configuration.
- Secondary
Worker Pulumi.Config Google Native. Dataproc. V1. Inputs. Instance Group Config - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- Security
Config Pulumi.Google Native. Dataproc. V1. Inputs. Security Config - Optional. Security settings for the cluster.
- Software
Config Pulumi.Google Native. Dataproc. V1. Inputs. Software Config - Optional. The config settings for cluster software.
- Temp
Bucket string - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- Worker
Config Pulumi.Google Native. Dataproc. V1. Inputs. Instance Group Config - Optional. The Compute Engine config settings for the cluster's worker instances.
- Autoscaling
Config AutoscalingConfig - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- Auxiliary
Node []AuxiliaryGroups Node Group - Optional. The node group settings.
- Config
Bucket string - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- Dataproc
Metric DataprocConfig Metric Config - Optional. The config for Dataproc metrics.
- Encryption
Config EncryptionConfig - Optional. Encryption settings for the cluster.
- Endpoint
Config EndpointConfig - Optional. Port/endpoint configuration for this cluster
- Gce
Cluster GceConfig Cluster Config - Optional. The shared Compute Engine config settings for all instances in a cluster.
- Gke
Cluster GkeConfig Cluster Config - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- Initialization
Actions []NodeInitialization Action - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- Lifecycle
Config LifecycleConfig - Optional. Lifecycle setting for the cluster.
- Master
Config InstanceGroup Config - Optional. The Compute Engine config settings for the cluster's master instance.
- Metastore
Config MetastoreConfig - Optional. Metastore configuration.
- Secondary
Worker InstanceConfig Group Config - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- Security
Config SecurityConfig - Optional. Security settings for the cluster.
- Software
Config SoftwareConfig - Optional. The config settings for cluster software.
- Temp
Bucket string - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- Worker
Config InstanceGroup Config - Optional. The Compute Engine config settings for the cluster's worker instances.
- autoscaling
Config AutoscalingConfig - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- auxiliary
Node List<AuxiliaryGroups Node Group> - Optional. The node group settings.
- config
Bucket String - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- dataproc
Metric DataprocConfig Metric Config - Optional. The config for Dataproc metrics.
- encryption
Config EncryptionConfig - Optional. Encryption settings for the cluster.
- endpoint
Config EndpointConfig - Optional. Port/endpoint configuration for this cluster
- gce
Cluster GceConfig Cluster Config - Optional. The shared Compute Engine config settings for all instances in a cluster.
- gke
Cluster GkeConfig Cluster Config - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- initialization
Actions List<NodeInitialization Action> - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- lifecycle
Config LifecycleConfig - Optional. Lifecycle setting for the cluster.
- master
Config InstanceGroup Config - Optional. The Compute Engine config settings for the cluster's master instance.
- metastore
Config MetastoreConfig - Optional. Metastore configuration.
- secondary
Worker InstanceConfig Group Config - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- security
Config SecurityConfig - Optional. Security settings for the cluster.
- software
Config SoftwareConfig - Optional. The config settings for cluster software.
- temp
Bucket String - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- worker
Config InstanceGroup Config - Optional. The Compute Engine config settings for the cluster's worker instances.
- autoscaling
Config AutoscalingConfig - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- auxiliary
Node AuxiliaryGroups Node Group[] - Optional. The node group settings.
- config
Bucket string - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- dataproc
Metric DataprocConfig Metric Config - Optional. The config for Dataproc metrics.
- encryption
Config EncryptionConfig - Optional. Encryption settings for the cluster.
- endpoint
Config EndpointConfig - Optional. Port/endpoint configuration for this cluster
- gce
Cluster GceConfig Cluster Config - Optional. The shared Compute Engine config settings for all instances in a cluster.
- gke
Cluster GkeConfig Cluster Config - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- initialization
Actions NodeInitialization Action[] - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- lifecycle
Config LifecycleConfig - Optional. Lifecycle setting for the cluster.
- master
Config InstanceGroup Config - Optional. The Compute Engine config settings for the cluster's master instance.
- metastore
Config MetastoreConfig - Optional. Metastore configuration.
- secondary
Worker InstanceConfig Group Config - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- security
Config SecurityConfig - Optional. Security settings for the cluster.
- software
Config SoftwareConfig - Optional. The config settings for cluster software.
- temp
Bucket string - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- worker
Config InstanceGroup Config - Optional. The Compute Engine config settings for the cluster's worker instances.
- autoscaling_
config AutoscalingConfig - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- auxiliary_
node_ Sequence[Auxiliarygroups Node Group] - Optional. The node group settings.
- config_
bucket str - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- dataproc_
metric_ Dataprocconfig Metric Config - Optional. The config for Dataproc metrics.
- encryption_
config EncryptionConfig - Optional. Encryption settings for the cluster.
- endpoint_
config EndpointConfig - Optional. Port/endpoint configuration for this cluster
- gce_
cluster_ Gceconfig Cluster Config - Optional. The shared Compute Engine config settings for all instances in a cluster.
- gke_
cluster_ Gkeconfig Cluster Config - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- initialization_
actions Sequence[NodeInitialization Action] - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- lifecycle_
config LifecycleConfig - Optional. Lifecycle setting for the cluster.
- master_
config InstanceGroup Config - Optional. The Compute Engine config settings for the cluster's master instance.
- metastore_
config MetastoreConfig - Optional. Metastore configuration.
- secondary_
worker_ Instanceconfig Group Config - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- security_
config SecurityConfig - Optional. Security settings for the cluster.
- software_
config SoftwareConfig - Optional. The config settings for cluster software.
- temp_
bucket str - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- worker_
config InstanceGroup Config - Optional. The Compute Engine config settings for the cluster's worker instances.
- autoscaling
Config Property Map - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- auxiliary
Node List<Property Map>Groups - Optional. The node group settings.
- config
Bucket String - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- dataproc
Metric Property MapConfig - Optional. The config for Dataproc metrics.
- encryption
Config Property Map - Optional. Encryption settings for the cluster.
- endpoint
Config Property Map - Optional. Port/endpoint configuration for this cluster
- gce
Cluster Property MapConfig - Optional. The shared Compute Engine config settings for all instances in a cluster.
- gke
Cluster Property MapConfig - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- initialization
Actions List<Property Map> - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- lifecycle
Config Property Map - Optional. Lifecycle setting for the cluster.
- master
Config Property Map - Optional. The Compute Engine config settings for the cluster's master instance.
- metastore
Config Property Map - Optional. Metastore configuration.
- secondary
Worker Property MapConfig - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- security
Config Property Map - Optional. Security settings for the cluster.
- software
Config Property Map - Optional. The config settings for cluster software.
- temp
Bucket String - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- worker
Config Property Map - Optional. The Compute Engine config settings for the cluster's worker instances.
ClusterConfigResponse, ClusterConfigResponseArgs
- Autoscaling
Config Pulumi.Google Native. Dataproc. V1. Inputs. Autoscaling Config Response - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- Auxiliary
Node List<Pulumi.Groups Google Native. Dataproc. V1. Inputs. Auxiliary Node Group Response> - Optional. The node group settings.
- Config
Bucket string - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- Dataproc
Metric Pulumi.Config Google Native. Dataproc. V1. Inputs. Dataproc Metric Config Response - Optional. The config for Dataproc metrics.
- Encryption
Config Pulumi.Google Native. Dataproc. V1. Inputs. Encryption Config Response - Optional. Encryption settings for the cluster.
- Endpoint
Config Pulumi.Google Native. Dataproc. V1. Inputs. Endpoint Config Response - Optional. Port/endpoint configuration for this cluster
- Gce
Cluster Pulumi.Config Google Native. Dataproc. V1. Inputs. Gce Cluster Config Response - Optional. The shared Compute Engine config settings for all instances in a cluster.
- Gke
Cluster Pulumi.Config Google Native. Dataproc. V1. Inputs. Gke Cluster Config Response - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- Initialization
Actions List<Pulumi.Google Native. Dataproc. V1. Inputs. Node Initialization Action Response> - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- Lifecycle
Config Pulumi.Google Native. Dataproc. V1. Inputs. Lifecycle Config Response - Optional. Lifecycle setting for the cluster.
- Master
Config Pulumi.Google Native. Dataproc. V1. Inputs. Instance Group Config Response - Optional. The Compute Engine config settings for the cluster's master instance.
- Metastore
Config Pulumi.Google Native. Dataproc. V1. Inputs. Metastore Config Response - Optional. Metastore configuration.
- Secondary
Worker Pulumi.Config Google Native. Dataproc. V1. Inputs. Instance Group Config Response - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- Security
Config Pulumi.Google Native. Dataproc. V1. Inputs. Security Config Response - Optional. Security settings for the cluster.
- Software
Config Pulumi.Google Native. Dataproc. V1. Inputs. Software Config Response - Optional. The config settings for cluster software.
- Temp
Bucket string - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- Worker
Config Pulumi.Google Native. Dataproc. V1. Inputs. Instance Group Config Response - Optional. The Compute Engine config settings for the cluster's worker instances.
- Autoscaling
Config AutoscalingConfig Response - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- Auxiliary
Node []AuxiliaryGroups Node Group Response - Optional. The node group settings.
- Config
Bucket string - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- Dataproc
Metric DataprocConfig Metric Config Response - Optional. The config for Dataproc metrics.
- Encryption
Config EncryptionConfig Response - Optional. Encryption settings for the cluster.
- Endpoint
Config EndpointConfig Response - Optional. Port/endpoint configuration for this cluster
- Gce
Cluster GceConfig Cluster Config Response - Optional. The shared Compute Engine config settings for all instances in a cluster.
- Gke
Cluster GkeConfig Cluster Config Response - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- Initialization
Actions []NodeInitialization Action Response - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- Lifecycle
Config LifecycleConfig Response - Optional. Lifecycle setting for the cluster.
- Master
Config InstanceGroup Config Response - Optional. The Compute Engine config settings for the cluster's master instance.
- Metastore
Config MetastoreConfig Response - Optional. Metastore configuration.
- Secondary
Worker InstanceConfig Group Config Response - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- Security
Config SecurityConfig Response - Optional. Security settings for the cluster.
- Software
Config SoftwareConfig Response - Optional. The config settings for cluster software.
- Temp
Bucket string - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- Worker
Config InstanceGroup Config Response - Optional. The Compute Engine config settings for the cluster's worker instances.
- autoscaling
Config AutoscalingConfig Response - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- auxiliary
Node List<AuxiliaryGroups Node Group Response> - Optional. The node group settings.
- config
Bucket String - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- dataproc
Metric DataprocConfig Metric Config Response - Optional. The config for Dataproc metrics.
- encryption
Config EncryptionConfig Response - Optional. Encryption settings for the cluster.
- endpoint
Config EndpointConfig Response - Optional. Port/endpoint configuration for this cluster
- gce
Cluster GceConfig Cluster Config Response - Optional. The shared Compute Engine config settings for all instances in a cluster.
- gke
Cluster GkeConfig Cluster Config Response - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- initialization
Actions List<NodeInitialization Action Response> - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- lifecycle
Config LifecycleConfig Response - Optional. Lifecycle setting for the cluster.
- master
Config InstanceGroup Config Response - Optional. The Compute Engine config settings for the cluster's master instance.
- metastore
Config MetastoreConfig Response - Optional. Metastore configuration.
- secondary
Worker InstanceConfig Group Config Response - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- security
Config SecurityConfig Response - Optional. Security settings for the cluster.
- software
Config SoftwareConfig Response - Optional. The config settings for cluster software.
- temp
Bucket String - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- worker
Config InstanceGroup Config Response - Optional. The Compute Engine config settings for the cluster's worker instances.
- autoscaling
Config AutoscalingConfig Response - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- auxiliary
Node AuxiliaryGroups Node Group Response[] - Optional. The node group settings.
- config
Bucket string - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- dataproc
Metric DataprocConfig Metric Config Response - Optional. The config for Dataproc metrics.
- encryption
Config EncryptionConfig Response - Optional. Encryption settings for the cluster.
- endpoint
Config EndpointConfig Response - Optional. Port/endpoint configuration for this cluster
- gce
Cluster GceConfig Cluster Config Response - Optional. The shared Compute Engine config settings for all instances in a cluster.
- gke
Cluster GkeConfig Cluster Config Response - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- initialization
Actions NodeInitialization Action Response[] - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- lifecycle
Config LifecycleConfig Response - Optional. Lifecycle setting for the cluster.
- master
Config InstanceGroup Config Response - Optional. The Compute Engine config settings for the cluster's master instance.
- metastore
Config MetastoreConfig Response - Optional. Metastore configuration.
- secondary
Worker InstanceConfig Group Config Response - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- security
Config SecurityConfig Response - Optional. Security settings for the cluster.
- software
Config SoftwareConfig Response - Optional. The config settings for cluster software.
- temp
Bucket string - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- worker
Config InstanceGroup Config Response - Optional. The Compute Engine config settings for the cluster's worker instances.
- autoscaling_
config AutoscalingConfig Response - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- auxiliary_
node_ Sequence[Auxiliarygroups Node Group Response] - Optional. The node group settings.
- config_
bucket str - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- dataproc_
metric_ Dataprocconfig Metric Config Response - Optional. The config for Dataproc metrics.
- encryption_
config EncryptionConfig Response - Optional. Encryption settings for the cluster.
- endpoint_
config EndpointConfig Response - Optional. Port/endpoint configuration for this cluster
- gce_
cluster_ Gceconfig Cluster Config Response - Optional. The shared Compute Engine config settings for all instances in a cluster.
- gke_
cluster_ Gkeconfig Cluster Config Response - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- initialization_
actions Sequence[NodeInitialization Action Response] - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- lifecycle_
config LifecycleConfig Response - Optional. Lifecycle setting for the cluster.
- master_
config InstanceGroup Config Response - Optional. The Compute Engine config settings for the cluster's master instance.
- metastore_
config MetastoreConfig Response - Optional. Metastore configuration.
- secondary_
worker_ Instanceconfig Group Config Response - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- security_
config SecurityConfig Response - Optional. Security settings for the cluster.
- software_
config SoftwareConfig Response - Optional. The config settings for cluster software.
- temp_
bucket str - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- worker_
config InstanceGroup Config Response - Optional. The Compute Engine config settings for the cluster's worker instances.
- autoscaling
Config Property Map - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
- auxiliary
Node List<Property Map>Groups - Optional. The node group settings.
- config
Bucket String - Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- dataproc
Metric Property MapConfig - Optional. The config for Dataproc metrics.
- encryption
Config Property Map - Optional. Encryption settings for the cluster.
- endpoint
Config Property Map - Optional. Port/endpoint configuration for this cluster
- gce
Cluster Property MapConfig - Optional. The shared Compute Engine config settings for all instances in a cluster.
- gke
Cluster Property MapConfig - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.
- initialization
Actions List<Property Map> - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi
- lifecycle
Config Property Map - Optional. Lifecycle setting for the cluster.
- master
Config Property Map - Optional. The Compute Engine config settings for the cluster's master instance.
- metastore
Config Property Map - Optional. Metastore configuration.
- secondary
Worker Property MapConfig - Optional. The Compute Engine config settings for a cluster's secondary worker instances
- security
Config Property Map - Optional. Security settings for the cluster.
- software
Config Property Map - Optional. The config settings for cluster software.
- temp
Bucket String - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket.
- worker
Config Property Map - Optional. The Compute Engine config settings for the cluster's worker instances.
ClusterSelector, ClusterSelectorArgs
- Cluster
Labels Dictionary<string, string> - The cluster labels. Cluster must have all labels to match.
- Zone string
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
- Cluster
Labels map[string]string - The cluster labels. Cluster must have all labels to match.
- Zone string
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
- cluster
Labels Map<String,String> - The cluster labels. Cluster must have all labels to match.
- zone String
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
- cluster
Labels {[key: string]: string} - The cluster labels. Cluster must have all labels to match.
- zone string
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
- cluster_
labels Mapping[str, str] - The cluster labels. Cluster must have all labels to match.
- zone str
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
- cluster
Labels Map<String> - The cluster labels. Cluster must have all labels to match.
- zone String
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
ClusterSelectorResponse, ClusterSelectorResponseArgs
- Cluster
Labels Dictionary<string, string> - The cluster labels. Cluster must have all labels to match.
- Zone string
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
- Cluster
Labels map[string]string - The cluster labels. Cluster must have all labels to match.
- Zone string
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
- cluster
Labels Map<String,String> - The cluster labels. Cluster must have all labels to match.
- zone String
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
- cluster
Labels {[key: string]: string} - The cluster labels. Cluster must have all labels to match.
- zone string
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
- cluster_
labels Mapping[str, str] - The cluster labels. Cluster must have all labels to match.
- zone str
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
- cluster
Labels Map<String> - The cluster labels. Cluster must have all labels to match.
- zone String
- Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.If unspecified, the zone of the first cluster matching the selector is used.
ConfidentialInstanceConfig, ConfidentialInstanceConfigArgs
- Enable
Confidential boolCompute - Optional. Defines whether the instance should have confidential compute enabled.
- Enable
Confidential boolCompute - Optional. Defines whether the instance should have confidential compute enabled.
- enable
Confidential BooleanCompute - Optional. Defines whether the instance should have confidential compute enabled.
- enable
Confidential booleanCompute - Optional. Defines whether the instance should have confidential compute enabled.
- enable_
confidential_ boolcompute - Optional. Defines whether the instance should have confidential compute enabled.
- enable
Confidential BooleanCompute - Optional. Defines whether the instance should have confidential compute enabled.
ConfidentialInstanceConfigResponse, ConfidentialInstanceConfigResponseArgs
- Enable
Confidential boolCompute - Optional. Defines whether the instance should have confidential compute enabled.
- Enable
Confidential boolCompute - Optional. Defines whether the instance should have confidential compute enabled.
- enable
Confidential BooleanCompute - Optional. Defines whether the instance should have confidential compute enabled.
- enable
Confidential booleanCompute - Optional. Defines whether the instance should have confidential compute enabled.
- enable_
confidential_ boolcompute - Optional. Defines whether the instance should have confidential compute enabled.
- enable
Confidential BooleanCompute - Optional. Defines whether the instance should have confidential compute enabled.
DataprocMetricConfig, DataprocMetricConfigArgs
- Metrics
List<Pulumi.
Google Native. Dataproc. V1. Inputs. Metric> - Metrics sources to enable.
- metrics List<Metric>
- Metrics sources to enable.
- metrics Sequence[Metric]
- Metrics sources to enable.
- metrics List<Property Map>
- Metrics sources to enable.
DataprocMetricConfigResponse, DataprocMetricConfigResponseArgs
- Metrics
List<Pulumi.
Google Native. Dataproc. V1. Inputs. Metric Response> - Metrics sources to enable.
- Metrics
[]Metric
Response - Metrics sources to enable.
- metrics
List<Metric
Response> - Metrics sources to enable.
- metrics
Metric
Response[] - Metrics sources to enable.
- metrics
Sequence[Metric
Response] - Metrics sources to enable.
- metrics List<Property Map>
- Metrics sources to enable.
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.
EncryptionConfig, EncryptionConfigArgs
- Gce
Pd stringKms Key Name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- Kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
- Gce
Pd stringKms Key Name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- Kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
- gce
Pd StringKms Key Name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- kms
Key String - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
- gce
Pd stringKms Key Name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
- gce_
pd_ strkms_ key_ name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- kms_
key str - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
- gce
Pd StringKms Key Name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- kms
Key String - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
EncryptionConfigResponse, EncryptionConfigResponseArgs
- Gce
Pd stringKms Key Name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- Kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
- Gce
Pd stringKms Key Name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- Kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
- gce
Pd StringKms Key Name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- kms
Key String - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
- gce
Pd stringKms Key Name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
- gce_
pd_ strkms_ key_ name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- kms_
key str - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
- gce
Pd StringKms Key Name - Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
- kms
Key String - Optional. The Cloud KMS key name to use for encrypting customer core content in spanner and cluster PD disk for all instances in the cluster.
EndpointConfig, EndpointConfigArgs
- Enable
Http boolPort Access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
- Enable
Http boolPort Access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
- enable
Http BooleanPort Access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
- enable
Http booleanPort Access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
- enable_
http_ boolport_ access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
- enable
Http BooleanPort Access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
EndpointConfigResponse, EndpointConfigResponseArgs
- Enable
Http boolPort Access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
- Http
Ports Dictionary<string, string> - The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.
- Enable
Http boolPort Access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
- Http
Ports map[string]string - The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.
- enable
Http BooleanPort Access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
- http
Ports Map<String,String> - The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.
- enable
Http booleanPort Access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
- http
Ports {[key: string]: string} - The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.
- enable_
http_ boolport_ access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
- http_
ports Mapping[str, str] - The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.
- enable
Http BooleanPort Access - Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
- http
Ports Map<String> - The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.
FlinkJob, FlinkJobArgs
- Args List<string>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- Savepoint
Uri string - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
- Args []string
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- Jar
File []stringUris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- Logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- Savepoint
Uri string - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- main
Jar StringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- savepoint
Uri String - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
- args string[]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- jar
File string[]Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- savepoint
Uri string - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
- args Sequence[str]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- logging_
config LoggingConfig - Optional. The runtime log config for job execution.
- main_
class str - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- main_
jar_ strfile_ uri - The HCFS URI of the jar file that contains the main class.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- savepoint_
uri str - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- main
Jar StringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- savepoint
Uri String - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
FlinkJobResponse, FlinkJobResponseArgs
- Args List<string>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config Response - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- Savepoint
Uri string - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
- Args []string
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- Jar
File []stringUris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- Logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- Savepoint
Uri string - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- main
Jar StringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- savepoint
Uri String - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
- args string[]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- jar
File string[]Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- savepoint
Uri string - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
- args Sequence[str]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- logging_
config LoggingConfig Response - Optional. The runtime log config for job execution.
- main_
class str - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- main_
jar_ strfile_ uri - The HCFS URI of the jar file that contains the main class.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- savepoint_
uri str - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Flink driver and tasks.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris.
- main
Jar StringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure Flink. Properties that conflict with values set by the Dataproc API might beoverwritten. Can include properties set in/etc/flink/conf/flink-defaults.conf and classes in user code.
- savepoint
Uri String - Optional. HCFS URI of the savepoint, which contains the last saved progress for starting the current job.
GceClusterConfig, GceClusterConfigArgs
- Confidential
Instance Pulumi.Config Google Native. Dataproc. V1. Inputs. Confidential Instance Config - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- Internal
Ip boolOnly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- Metadata Dictionary<string, string>
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- Network
Uri string - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- Node
Group Pulumi.Affinity Google Native. Dataproc. V1. Inputs. Node Group Affinity - Optional. Node Group Affinity for sole-tenant clusters.
- Private
Ipv6Google Pulumi.Access Google Native. Dataproc. V1. Gce Cluster Config Private Ipv6Google Access - Optional. The type of IPv6 access for a cluster.
- Reservation
Affinity Pulumi.Google Native. Dataproc. V1. Inputs. Reservation Affinity - Optional. Reservation Affinity for consuming Zonal reservation.
- Service
Account string - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- Service
Account List<string>Scopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- Shielded
Instance Pulumi.Config Google Native. Dataproc. V1. Inputs. Shielded Instance Config - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- Subnetwork
Uri string - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- List<string>
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- Zone
Uri string - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
- Confidential
Instance ConfidentialConfig Instance Config - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- Internal
Ip boolOnly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- Metadata map[string]string
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- Network
Uri string - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- Node
Group NodeAffinity Group Affinity - Optional. Node Group Affinity for sole-tenant clusters.
- Private
Ipv6Google GceAccess Cluster Config Private Ipv6Google Access - Optional. The type of IPv6 access for a cluster.
- Reservation
Affinity ReservationAffinity - Optional. Reservation Affinity for consuming Zonal reservation.
- Service
Account string - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- Service
Account []stringScopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- Shielded
Instance ShieldedConfig Instance Config - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- Subnetwork
Uri string - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- []string
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- Zone
Uri string - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
- confidential
Instance ConfidentialConfig Instance Config - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- internal
Ip BooleanOnly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- metadata Map<String,String>
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- network
Uri String - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- node
Group NodeAffinity Group Affinity - Optional. Node Group Affinity for sole-tenant clusters.
- private
Ipv6Google GceAccess Cluster Config Private Ipv6Google Access - Optional. The type of IPv6 access for a cluster.
- reservation
Affinity ReservationAffinity - Optional. Reservation Affinity for consuming Zonal reservation.
- service
Account String - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- service
Account List<String>Scopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- shielded
Instance ShieldedConfig Instance Config - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- subnetwork
Uri String - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- List<String>
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- zone
Uri String - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
- confidential
Instance ConfidentialConfig Instance Config - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- internal
Ip booleanOnly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- metadata {[key: string]: string}
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- network
Uri string - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- node
Group NodeAffinity Group Affinity - Optional. Node Group Affinity for sole-tenant clusters.
- private
Ipv6Google GceAccess Cluster Config Private Ipv6Google Access - Optional. The type of IPv6 access for a cluster.
- reservation
Affinity ReservationAffinity - Optional. Reservation Affinity for consuming Zonal reservation.
- service
Account string - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- service
Account string[]Scopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- shielded
Instance ShieldedConfig Instance Config - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- subnetwork
Uri string - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- string[]
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- zone
Uri string - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
- confidential_
instance_ Confidentialconfig Instance Config - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- internal_
ip_ boolonly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- metadata Mapping[str, str]
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- network_
uri str - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- node_
group_ Nodeaffinity Group Affinity - Optional. Node Group Affinity for sole-tenant clusters.
- private_
ipv6_ Gcegoogle_ access Cluster Config Private Ipv6Google Access - Optional. The type of IPv6 access for a cluster.
- reservation_
affinity ReservationAffinity - Optional. Reservation Affinity for consuming Zonal reservation.
- service_
account str - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- service_
account_ Sequence[str]scopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- shielded_
instance_ Shieldedconfig Instance Config - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- subnetwork_
uri str - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- Sequence[str]
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- zone_
uri str - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
- confidential
Instance Property MapConfig - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- internal
Ip BooleanOnly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- metadata Map<String>
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- network
Uri String - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- node
Group Property MapAffinity - Optional. Node Group Affinity for sole-tenant clusters.
- private
Ipv6Google "PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED" | "INHERIT_FROM_SUBNETWORK" | "OUTBOUND" | "BIDIRECTIONAL"Access - Optional. The type of IPv6 access for a cluster.
- reservation
Affinity Property Map - Optional. Reservation Affinity for consuming Zonal reservation.
- service
Account String - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- service
Account List<String>Scopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- shielded
Instance Property MapConfig - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- subnetwork
Uri String - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- List<String>
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- zone
Uri String - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
GceClusterConfigPrivateIpv6GoogleAccess, GceClusterConfigPrivateIpv6GoogleAccessArgs
- Private
Ipv6Google Access Unspecified - PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
- Inherit
From Subnetwork - INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
- Outbound
- OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
- Bidirectional
- BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.
- Gce
Cluster Config Private Ipv6Google Access Private Ipv6Google Access Unspecified - PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
- Gce
Cluster Config Private Ipv6Google Access Inherit From Subnetwork - INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
- Gce
Cluster Config Private Ipv6Google Access Outbound - OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
- Gce
Cluster Config Private Ipv6Google Access Bidirectional - BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.
- Private
Ipv6Google Access Unspecified - PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
- Inherit
From Subnetwork - INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
- Outbound
- OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
- Bidirectional
- BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.
- Private
Ipv6Google Access Unspecified - PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
- Inherit
From Subnetwork - INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
- Outbound
- OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
- Bidirectional
- BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.
- PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED
- PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
- INHERIT_FROM_SUBNETWORK
- INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
- OUTBOUND
- OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
- BIDIRECTIONAL
- BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.
- "PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED"
- PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIEDIf unspecified, Compute Engine default behavior will apply, which is the same as INHERIT_FROM_SUBNETWORK.
- "INHERIT_FROM_SUBNETWORK"
- INHERIT_FROM_SUBNETWORKPrivate access to and from Google Services configuration inherited from the subnetwork configuration. This is the default Compute Engine behavior.
- "OUTBOUND"
- OUTBOUNDEnables outbound private IPv6 access to Google Services from the Dataproc cluster.
- "BIDIRECTIONAL"
- BIDIRECTIONALEnables bidirectional private IPv6 access between Google Services and the Dataproc cluster.
GceClusterConfigResponse, GceClusterConfigResponseArgs
- Confidential
Instance Pulumi.Config Google Native. Dataproc. V1. Inputs. Confidential Instance Config Response - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- Internal
Ip boolOnly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- Metadata Dictionary<string, string>
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- Network
Uri string - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- Node
Group Pulumi.Affinity Google Native. Dataproc. V1. Inputs. Node Group Affinity Response - Optional. Node Group Affinity for sole-tenant clusters.
- Private
Ipv6Google stringAccess - Optional. The type of IPv6 access for a cluster.
- Reservation
Affinity Pulumi.Google Native. Dataproc. V1. Inputs. Reservation Affinity Response - Optional. Reservation Affinity for consuming Zonal reservation.
- Service
Account string - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- Service
Account List<string>Scopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- Shielded
Instance Pulumi.Config Google Native. Dataproc. V1. Inputs. Shielded Instance Config Response - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- Subnetwork
Uri string - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- List<string>
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- Zone
Uri string - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
- Confidential
Instance ConfidentialConfig Instance Config Response - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- Internal
Ip boolOnly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- Metadata map[string]string
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- Network
Uri string - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- Node
Group NodeAffinity Group Affinity Response - Optional. Node Group Affinity for sole-tenant clusters.
- Private
Ipv6Google stringAccess - Optional. The type of IPv6 access for a cluster.
- Reservation
Affinity ReservationAffinity Response - Optional. Reservation Affinity for consuming Zonal reservation.
- Service
Account string - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- Service
Account []stringScopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- Shielded
Instance ShieldedConfig Instance Config Response - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- Subnetwork
Uri string - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- []string
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- Zone
Uri string - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
- confidential
Instance ConfidentialConfig Instance Config Response - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- internal
Ip BooleanOnly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- metadata Map<String,String>
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- network
Uri String - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- node
Group NodeAffinity Group Affinity Response - Optional. Node Group Affinity for sole-tenant clusters.
- private
Ipv6Google StringAccess - Optional. The type of IPv6 access for a cluster.
- reservation
Affinity ReservationAffinity Response - Optional. Reservation Affinity for consuming Zonal reservation.
- service
Account String - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- service
Account List<String>Scopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- shielded
Instance ShieldedConfig Instance Config Response - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- subnetwork
Uri String - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- List<String>
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- zone
Uri String - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
- confidential
Instance ConfidentialConfig Instance Config Response - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- internal
Ip booleanOnly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- metadata {[key: string]: string}
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- network
Uri string - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- node
Group NodeAffinity Group Affinity Response - Optional. Node Group Affinity for sole-tenant clusters.
- private
Ipv6Google stringAccess - Optional. The type of IPv6 access for a cluster.
- reservation
Affinity ReservationAffinity Response - Optional. Reservation Affinity for consuming Zonal reservation.
- service
Account string - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- service
Account string[]Scopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- shielded
Instance ShieldedConfig Instance Config Response - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- subnetwork
Uri string - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- string[]
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- zone
Uri string - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
- confidential_
instance_ Confidentialconfig Instance Config Response - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- internal_
ip_ boolonly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- metadata Mapping[str, str]
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- network_
uri str - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- node_
group_ Nodeaffinity Group Affinity Response - Optional. Node Group Affinity for sole-tenant clusters.
- private_
ipv6_ strgoogle_ access - Optional. The type of IPv6 access for a cluster.
- reservation_
affinity ReservationAffinity Response - Optional. Reservation Affinity for consuming Zonal reservation.
- service_
account str - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- service_
account_ Sequence[str]scopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- shielded_
instance_ Shieldedconfig Instance Config Response - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- subnetwork_
uri str - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- Sequence[str]
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- zone_
uri str - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
- confidential
Instance Property MapConfig - Optional. Confidential Instance Config for clusters using Confidential VMs (https://cloud.google.com/compute/confidential-vm/docs).
- internal
Ip BooleanOnly - Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
- metadata Map<String>
- Optional. The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
- network
Uri String - Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/networks/default projects/[project_id]/global/networks/default default
- node
Group Property MapAffinity - Optional. Node Group Affinity for sole-tenant clusters.
- private
Ipv6Google StringAccess - Optional. The type of IPv6 access for a cluster.
- reservation
Affinity Property Map - Optional. Reservation Affinity for consuming Zonal reservation.
- service
Account String - Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.
- service
Account List<String>Scopes - Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
- shielded
Instance Property MapConfig - Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).
- subnetwork
Uri String - Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/[region]/subnetworks/sub0 projects/[project_id]/regions/[region]/subnetworks/sub0 sub0
- List<String>
- The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
- zone
Uri String - Optional. The Compute Engine zone where the Dataproc cluster will be located. If omitted, the service will pick a zone in the cluster's Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone] projects/[project_id]/zones/[zone] [zone]
GkeClusterConfig, GkeClusterConfigArgs
- Gke
Cluster stringTarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- Namespaced
Gke Pulumi.Deployment Target Google Native. Dataproc. V1. Inputs. Namespaced Gke Deployment Target - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- Node
Pool List<Pulumi.Target Google Native. Dataproc. V1. Inputs. Gke Node Pool Target> - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
- Gke
Cluster stringTarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- Namespaced
Gke NamespacedDeployment Target Gke Deployment Target - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- Node
Pool []GkeTarget Node Pool Target - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
- gke
Cluster StringTarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- namespaced
Gke NamespacedDeployment Target Gke Deployment Target - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- node
Pool List<GkeTarget Node Pool Target> - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
- gke
Cluster stringTarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- namespaced
Gke NamespacedDeployment Target Gke Deployment Target - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- node
Pool GkeTarget Node Pool Target[] - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
- gke_
cluster_ strtarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- namespaced_
gke_ Namespaceddeployment_ target Gke Deployment Target - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- node_
pool_ Sequence[Gketarget Node Pool Target] - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
- gke
Cluster StringTarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- namespaced
Gke Property MapDeployment Target - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- node
Pool List<Property Map>Target - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
GkeClusterConfigResponse, GkeClusterConfigResponseArgs
- Gke
Cluster stringTarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- Namespaced
Gke Pulumi.Deployment Target Google Native. Dataproc. V1. Inputs. Namespaced Gke Deployment Target Response - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- Node
Pool List<Pulumi.Target Google Native. Dataproc. V1. Inputs. Gke Node Pool Target Response> - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
- Gke
Cluster stringTarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- Namespaced
Gke NamespacedDeployment Target Gke Deployment Target Response - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- Node
Pool []GkeTarget Node Pool Target Response - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
- gke
Cluster StringTarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- namespaced
Gke NamespacedDeployment Target Gke Deployment Target Response - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- node
Pool List<GkeTarget Node Pool Target Response> - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
- gke
Cluster stringTarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- namespaced
Gke NamespacedDeployment Target Gke Deployment Target Response - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- node
Pool GkeTarget Node Pool Target Response[] - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
- gke_
cluster_ strtarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- namespaced_
gke_ Namespaceddeployment_ target Gke Deployment Target Response - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- node_
pool_ Sequence[Gketarget Node Pool Target Response] - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
- gke
Cluster StringTarget - Optional. A target GKE cluster to deploy to. It must be in the same project and region as the Dataproc cluster (the GKE cluster can be zonal or regional). Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- namespaced
Gke Property MapDeployment Target - Optional. Deprecated. Use gkeClusterTarget. Used only for the deprecated beta. A target for the deployment.
- node
Pool List<Property Map>Target - Optional. GKE node pools where workloads will be scheduled. At least one node pool must be assigned the DEFAULT GkeNodePoolTarget.Role. If a GkeNodePoolTarget is not specified, Dataproc constructs a DEFAULT GkeNodePoolTarget. Each role can be given to only one GkeNodePoolTarget. All node pools must have the same location settings.
GkeNodeConfig, GkeNodeConfigArgs
- Accelerators
List<Pulumi.
Google Native. Dataproc. V1. Inputs. Gke Node Pool Accelerator Config> - Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- Boot
Disk stringKms Key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- Local
Ssd intCount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- Machine
Type string - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- Min
Cpu stringPlatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- Preemptible bool
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- Spot bool
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- Accelerators
[]Gke
Node Pool Accelerator Config - Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- Boot
Disk stringKms Key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- Local
Ssd intCount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- Machine
Type string - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- Min
Cpu stringPlatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- Preemptible bool
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- Spot bool
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- accelerators
List<Gke
Node Pool Accelerator Config> - Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- boot
Disk StringKms Key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- local
Ssd IntegerCount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- machine
Type String - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- min
Cpu StringPlatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- preemptible Boolean
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- spot Boolean
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- accelerators
Gke
Node Pool Accelerator Config[] - Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- boot
Disk stringKms Key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- local
Ssd numberCount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- machine
Type string - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- min
Cpu stringPlatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- preemptible boolean
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- spot boolean
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- accelerators
Sequence[Gke
Node Pool Accelerator Config] - Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- boot_
disk_ strkms_ key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- local_
ssd_ intcount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- machine_
type str - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- min_
cpu_ strplatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- preemptible bool
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- spot bool
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- accelerators List<Property Map>
- Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- boot
Disk StringKms Key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- local
Ssd NumberCount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- machine
Type String - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- min
Cpu StringPlatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- preemptible Boolean
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- spot Boolean
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
GkeNodeConfigResponse, GkeNodeConfigResponseArgs
- Accelerators
List<Pulumi.
Google Native. Dataproc. V1. Inputs. Gke Node Pool Accelerator Config Response> - Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- Boot
Disk stringKms Key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- Local
Ssd intCount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- Machine
Type string - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- Min
Cpu stringPlatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- Preemptible bool
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- Spot bool
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- Accelerators
[]Gke
Node Pool Accelerator Config Response - Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- Boot
Disk stringKms Key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- Local
Ssd intCount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- Machine
Type string - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- Min
Cpu stringPlatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- Preemptible bool
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- Spot bool
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- accelerators
List<Gke
Node Pool Accelerator Config Response> - Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- boot
Disk StringKms Key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- local
Ssd IntegerCount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- machine
Type String - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- min
Cpu StringPlatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- preemptible Boolean
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- spot Boolean
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- accelerators
Gke
Node Pool Accelerator Config Response[] - Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- boot
Disk stringKms Key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- local
Ssd numberCount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- machine
Type string - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- min
Cpu stringPlatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- preemptible boolean
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- spot boolean
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- accelerators
Sequence[Gke
Node Pool Accelerator Config Response] - Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- boot_
disk_ strkms_ key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- local_
ssd_ intcount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- machine_
type str - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- min_
cpu_ strplatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- preemptible bool
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- spot bool
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- accelerators List<Property Map>
- Optional. A list of hardware accelerators (https://cloud.google.com/compute/docs/gpus) to attach to each node.
- boot
Disk StringKms Key - Optional. The Customer Managed Encryption Key (CMEK) (https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek) used to encrypt the boot disk attached to each node in the node pool. Specify the key using the following format: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}
- local
Ssd NumberCount - Optional. The number of local SSD disks to attach to the node, which is limited by the maximum number of disks allowable per zone (see Adding Local SSDs (https://cloud.google.com/compute/docs/disks/local-ssd)).
- machine
Type String - Optional. The name of a Compute Engine machine type (https://cloud.google.com/compute/docs/machine-types).
- min
Cpu StringPlatform - Optional. Minimum CPU platform (https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform) to be used by this instance. The instance may be scheduled on the specified or a newer CPU platform. Specify the friendly names of CPU platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
- preemptible Boolean
- Optional. Whether the nodes are created as legacy preemptible VM instances (https://cloud.google.com/compute/docs/instances/preemptible). Also see Spot VMs, preemptible VM instances without a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
- spot Boolean
- Optional. Whether the nodes are created as Spot VM instances (https://cloud.google.com/compute/docs/instances/spot). Spot VMs are the latest update to legacy preemptible VMs. Spot VMs do not have a maximum lifetime. Legacy and Spot preemptible nodes cannot be used in a node pool with the CONTROLLER role or in the DEFAULT node pool if the CONTROLLER role is not assigned (the DEFAULT node pool will assume the CONTROLLER role).
GkeNodePoolAcceleratorConfig, GkeNodePoolAcceleratorConfigArgs
- Accelerator
Count string - The number of accelerator cards exposed to an instance.
- Accelerator
Type string - The accelerator type resource namename (see GPUs on Compute Engine).
- Gpu
Partition stringSize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
- Accelerator
Count string - The number of accelerator cards exposed to an instance.
- Accelerator
Type string - The accelerator type resource namename (see GPUs on Compute Engine).
- Gpu
Partition stringSize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
- accelerator
Count String - The number of accelerator cards exposed to an instance.
- accelerator
Type String - The accelerator type resource namename (see GPUs on Compute Engine).
- gpu
Partition StringSize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
- accelerator
Count string - The number of accelerator cards exposed to an instance.
- accelerator
Type string - The accelerator type resource namename (see GPUs on Compute Engine).
- gpu
Partition stringSize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
- accelerator_
count str - The number of accelerator cards exposed to an instance.
- accelerator_
type str - The accelerator type resource namename (see GPUs on Compute Engine).
- gpu_
partition_ strsize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
- accelerator
Count String - The number of accelerator cards exposed to an instance.
- accelerator
Type String - The accelerator type resource namename (see GPUs on Compute Engine).
- gpu
Partition StringSize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
GkeNodePoolAcceleratorConfigResponse, GkeNodePoolAcceleratorConfigResponseArgs
- Accelerator
Count string - The number of accelerator cards exposed to an instance.
- Accelerator
Type string - The accelerator type resource namename (see GPUs on Compute Engine).
- Gpu
Partition stringSize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
- Accelerator
Count string - The number of accelerator cards exposed to an instance.
- Accelerator
Type string - The accelerator type resource namename (see GPUs on Compute Engine).
- Gpu
Partition stringSize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
- accelerator
Count String - The number of accelerator cards exposed to an instance.
- accelerator
Type String - The accelerator type resource namename (see GPUs on Compute Engine).
- gpu
Partition StringSize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
- accelerator
Count string - The number of accelerator cards exposed to an instance.
- accelerator
Type string - The accelerator type resource namename (see GPUs on Compute Engine).
- gpu
Partition stringSize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
- accelerator_
count str - The number of accelerator cards exposed to an instance.
- accelerator_
type str - The accelerator type resource namename (see GPUs on Compute Engine).
- gpu_
partition_ strsize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
- accelerator
Count String - The number of accelerator cards exposed to an instance.
- accelerator
Type String - The accelerator type resource namename (see GPUs on Compute Engine).
- gpu
Partition StringSize - Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig user guide (https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
GkeNodePoolAutoscalingConfig, GkeNodePoolAutoscalingConfigArgs
- Max
Node intCount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- Min
Node intCount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
- Max
Node intCount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- Min
Node intCount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
- max
Node IntegerCount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- min
Node IntegerCount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
- max
Node numberCount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- min
Node numberCount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
- max_
node_ intcount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- min_
node_ intcount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
- max
Node NumberCount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- min
Node NumberCount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
GkeNodePoolAutoscalingConfigResponse, GkeNodePoolAutoscalingConfigResponseArgs
- Max
Node intCount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- Min
Node intCount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
- Max
Node intCount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- Min
Node intCount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
- max
Node IntegerCount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- min
Node IntegerCount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
- max
Node numberCount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- min
Node numberCount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
- max_
node_ intcount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- min_
node_ intcount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
- max
Node NumberCount - The maximum number of nodes in the node pool. Must be >= min_node_count, and must be > 0. Note: Quota must be sufficient to scale up the cluster.
- min
Node NumberCount - The minimum number of nodes in the node pool. Must be >= 0 and <= max_node_count.
GkeNodePoolConfig, GkeNodePoolConfigArgs
- Autoscaling
Pulumi.
Google Native. Dataproc. V1. Inputs. Gke Node Pool Autoscaling Config - Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- Config
Pulumi.
Google Native. Dataproc. V1. Inputs. Gke Node Config - Optional. The node pool configuration.
- Locations List<string>
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
- Autoscaling
Gke
Node Pool Autoscaling Config - Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- Config
Gke
Node Config - Optional. The node pool configuration.
- Locations []string
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
- autoscaling
Gke
Node Pool Autoscaling Config - Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- config
Gke
Node Config - Optional. The node pool configuration.
- locations List<String>
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
- autoscaling
Gke
Node Pool Autoscaling Config - Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- config
Gke
Node Config - Optional. The node pool configuration.
- locations string[]
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
- autoscaling
Gke
Node Pool Autoscaling Config - Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- config
Gke
Node Config - Optional. The node pool configuration.
- locations Sequence[str]
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
- autoscaling Property Map
- Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- config Property Map
- Optional. The node pool configuration.
- locations List<String>
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
GkeNodePoolConfigResponse, GkeNodePoolConfigResponseArgs
- Autoscaling
Pulumi.
Google Native. Dataproc. V1. Inputs. Gke Node Pool Autoscaling Config Response - Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- Config
Pulumi.
Google Native. Dataproc. V1. Inputs. Gke Node Config Response - Optional. The node pool configuration.
- Locations List<string>
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
- Autoscaling
Gke
Node Pool Autoscaling Config Response - Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- Config
Gke
Node Config Response - Optional. The node pool configuration.
- Locations []string
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
- autoscaling
Gke
Node Pool Autoscaling Config Response - Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- config
Gke
Node Config Response - Optional. The node pool configuration.
- locations List<String>
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
- autoscaling
Gke
Node Pool Autoscaling Config Response - Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- config
Gke
Node Config Response - Optional. The node pool configuration.
- locations string[]
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
- autoscaling
Gke
Node Pool Autoscaling Config Response - Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- config
Gke
Node Config Response - Optional. The node pool configuration.
- locations Sequence[str]
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
- autoscaling Property Map
- Optional. The autoscaler configuration for this node pool. The autoscaler is enabled only when a valid configuration is present.
- config Property Map
- Optional. The node pool configuration.
- locations List<String>
- Optional. The list of Compute Engine zones (https://cloud.google.com/compute/docs/zones#available) where node pool nodes associated with a Dataproc on GKE virtual cluster will be located.Note: All node pools associated with a virtual cluster must be located in the same region as the virtual cluster, and they must be located in the same zone within that region.If a location is not specified during node pool creation, Dataproc on GKE will choose the zone.
GkeNodePoolTarget, GkeNodePoolTargetArgs
- Node
Pool string - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- Roles
List<Pulumi.
Google Native. Dataproc. V1. Gke Node Pool Target Roles Item> - The roles associated with the GKE node pool.
- Node
Pool Pulumi.Config Google Native. Dataproc. V1. Inputs. Gke Node Pool Config - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
- Node
Pool string - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- Roles
[]Gke
Node Pool Target Roles Item - The roles associated with the GKE node pool.
- Node
Pool GkeConfig Node Pool Config - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
- node
Pool String - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- roles
List<Gke
Node Pool Target Roles Item> - The roles associated with the GKE node pool.
- node
Pool GkeConfig Node Pool Config - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
- node
Pool string - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- roles
Gke
Node Pool Target Roles Item[] - The roles associated with the GKE node pool.
- node
Pool GkeConfig Node Pool Config - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
- node_
pool str - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- roles
Sequence[Gke
Node Pool Target Roles Item] - The roles associated with the GKE node pool.
- node_
pool_ Gkeconfig Node Pool Config - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
- node
Pool String - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- roles List<"ROLE_UNSPECIFIED" | "DEFAULT" | "CONTROLLER" | "SPARK_DRIVER" | "SPARK_EXECUTOR">
- The roles associated with the GKE node pool.
- node
Pool Property MapConfig - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
GkeNodePoolTargetResponse, GkeNodePoolTargetResponseArgs
- Node
Pool string - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- Node
Pool Pulumi.Config Google Native. Dataproc. V1. Inputs. Gke Node Pool Config Response - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
- Roles List<string>
- The roles associated with the GKE node pool.
- Node
Pool string - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- Node
Pool GkeConfig Node Pool Config Response - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
- Roles []string
- The roles associated with the GKE node pool.
- node
Pool String - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- node
Pool GkeConfig Node Pool Config Response - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
- roles List<String>
- The roles associated with the GKE node pool.
- node
Pool string - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- node
Pool GkeConfig Node Pool Config Response - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
- roles string[]
- The roles associated with the GKE node pool.
- node_
pool str - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- node_
pool_ Gkeconfig Node Pool Config Response - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
- roles Sequence[str]
- The roles associated with the GKE node pool.
- node
Pool String - The target GKE node pool. Format: 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
- node
Pool Property MapConfig - Input only. The configuration for the GKE node pool.If specified, Dataproc attempts to create a node pool with the specified shape. If one with the same name already exists, it is verified against all specified fields. If a field differs, the virtual cluster creation will fail.If omitted, any node pool with the specified name is used. If a node pool with the specified name does not exist, Dataproc create a node pool with default values.This is an input only field. It will not be returned by the API.
- roles List<String>
- The roles associated with the GKE node pool.
GkeNodePoolTargetRolesItem, GkeNodePoolTargetRolesItemArgs
- Role
Unspecified - ROLE_UNSPECIFIEDRole is unspecified.
- Default
- DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
- Controller
- CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
- Spark
Driver - SPARK_DRIVERRun work associated with a Spark driver of a job.
- Spark
Executor - SPARK_EXECUTORRun work associated with a Spark executor of a job.
- Gke
Node Pool Target Roles Item Role Unspecified - ROLE_UNSPECIFIEDRole is unspecified.
- Gke
Node Pool Target Roles Item Default - DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
- Gke
Node Pool Target Roles Item Controller - CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
- Gke
Node Pool Target Roles Item Spark Driver - SPARK_DRIVERRun work associated with a Spark driver of a job.
- Gke
Node Pool Target Roles Item Spark Executor - SPARK_EXECUTORRun work associated with a Spark executor of a job.
- Role
Unspecified - ROLE_UNSPECIFIEDRole is unspecified.
- Default
- DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
- Controller
- CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
- Spark
Driver - SPARK_DRIVERRun work associated with a Spark driver of a job.
- Spark
Executor - SPARK_EXECUTORRun work associated with a Spark executor of a job.
- Role
Unspecified - ROLE_UNSPECIFIEDRole is unspecified.
- Default
- DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
- Controller
- CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
- Spark
Driver - SPARK_DRIVERRun work associated with a Spark driver of a job.
- Spark
Executor - SPARK_EXECUTORRun work associated with a Spark executor of a job.
- ROLE_UNSPECIFIED
- ROLE_UNSPECIFIEDRole is unspecified.
- DEFAULT
- DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
- CONTROLLER
- CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
- SPARK_DRIVER
- SPARK_DRIVERRun work associated with a Spark driver of a job.
- SPARK_EXECUTOR
- SPARK_EXECUTORRun work associated with a Spark executor of a job.
- "ROLE_UNSPECIFIED"
- ROLE_UNSPECIFIEDRole is unspecified.
- "DEFAULT"
- DEFAULTAt least one node pool must have the DEFAULT role. Work assigned to a role that is not associated with a node pool is assigned to the node pool with the DEFAULT role. For example, work assigned to the CONTROLLER role will be assigned to the node pool with the DEFAULT role if no node pool has the CONTROLLER role.
- "CONTROLLER"
- CONTROLLERRun work associated with the Dataproc control plane (for example, controllers and webhooks). Very low resource requirements.
- "SPARK_DRIVER"
- SPARK_DRIVERRun work associated with a Spark driver of a job.
- "SPARK_EXECUTOR"
- SPARK_EXECUTORRun work associated with a Spark executor of a job.
GoogleCloudDataprocV1WorkflowTemplateEncryptionConfig, GoogleCloudDataprocV1WorkflowTemplateEncryptionConfigArgs
- Kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content.
- Kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content.
- kms
Key String - Optional. The Cloud KMS key name to use for encrypting customer core content.
- kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content.
- kms_
key str - Optional. The Cloud KMS key name to use for encrypting customer core content.
- kms
Key String - Optional. The Cloud KMS key name to use for encrypting customer core content.
GoogleCloudDataprocV1WorkflowTemplateEncryptionConfigResponse, GoogleCloudDataprocV1WorkflowTemplateEncryptionConfigResponseArgs
- Kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content.
- Kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content.
- kms
Key String - Optional. The Cloud KMS key name to use for encrypting customer core content.
- kms
Key string - Optional. The Cloud KMS key name to use for encrypting customer core content.
- kms_
key str - Optional. The Cloud KMS key name to use for encrypting customer core content.
- kms
Key String - Optional. The Cloud KMS key name to use for encrypting customer core content.
HadoopJob, HadoopJobArgs
- Archive
Uris List<string> - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- Args List<string>
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- File
Uris List<string> - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- Jar
File List<string>Uris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
- Archive
Uris []string - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- Args []string
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- File
Uris []string - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- Jar
File []stringUris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- Logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- main
Jar StringFile Uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
- archive
Uris string[] - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- args string[]
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- file
Uris string[] - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- jar
File string[]Uris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- main
Class string - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- main
Jar stringFile Uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
- archive_
uris Sequence[str] - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- args Sequence[str]
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- file_
uris Sequence[str] - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- jar_
file_ Sequence[str]uris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- logging_
config LoggingConfig - Optional. The runtime log config for job execution.
- main_
class str - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- main_
jar_ strfile_ uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- main
Jar StringFile Uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- properties Map<String>
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
HadoopJobResponse, HadoopJobResponseArgs
- Archive
Uris List<string> - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- Args List<string>
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- File
Uris List<string> - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- Jar
File List<string>Uris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config Response - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
- Archive
Uris []string - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- Args []string
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- File
Uris []string - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- Jar
File []stringUris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- Logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- main
Jar StringFile Uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
- archive
Uris string[] - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- args string[]
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- file
Uris string[] - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- jar
File string[]Uris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- main
Class string - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- main
Jar stringFile Uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
- archive_
uris Sequence[str] - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- args Sequence[str]
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- file_
uris Sequence[str] - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- jar_
file_ Sequence[str]uris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- logging_
config LoggingConfig Response - Optional. The runtime log config for job execution.
- main_
class str - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- main_
jar_ strfile_ uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision might occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.
- main
Jar StringFile Uri - The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
- properties Map<String>
- Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
HiveJob, HiveJobArgs
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- Properties Dictionary<string, string>
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- Query
File stringUri - The HCFS URI of the script that contains Hive queries.
- Query
List Pulumi.Google Native. Dataproc. V1. Inputs. Query List - A list of queries.
- Script
Variables Dictionary<string, string> - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Jar
File []stringUris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- Properties map[string]string
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- Query
File stringUri - The HCFS URI of the script that contains Hive queries.
- Query
List QueryList - A list of queries.
- Script
Variables map[string]string - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- properties Map<String,String>
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- query
File StringUri - The HCFS URI of the script that contains Hive queries.
- query
List QueryList - A list of queries.
- script
Variables Map<String,String> - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
- continue
On booleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File string[]Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- properties {[key: string]: string}
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- query
File stringUri - The HCFS URI of the script that contains Hive queries.
- query
List QueryList - A list of queries.
- script
Variables {[key: string]: string} - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
- continue_
on_ boolfailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- properties Mapping[str, str]
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- query_
file_ struri - The HCFS URI of the script that contains Hive queries.
- query_
list QueryList - A list of queries.
- script_
variables Mapping[str, str] - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- properties Map<String>
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- query
File StringUri - The HCFS URI of the script that contains Hive queries.
- query
List Property Map - A list of queries.
- script
Variables Map<String> - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
HiveJobResponse, HiveJobResponseArgs
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- Properties Dictionary<string, string>
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- Query
File stringUri - The HCFS URI of the script that contains Hive queries.
- Query
List Pulumi.Google Native. Dataproc. V1. Inputs. Query List Response - A list of queries.
- Script
Variables Dictionary<string, string> - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Jar
File []stringUris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- Properties map[string]string
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- Query
File stringUri - The HCFS URI of the script that contains Hive queries.
- Query
List QueryList Response - A list of queries.
- Script
Variables map[string]string - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- properties Map<String,String>
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- query
File StringUri - The HCFS URI of the script that contains Hive queries.
- query
List QueryList Response - A list of queries.
- script
Variables Map<String,String> - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
- continue
On booleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File string[]Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- properties {[key: string]: string}
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- query
File stringUri - The HCFS URI of the script that contains Hive queries.
- query
List QueryList Response - A list of queries.
- script
Variables {[key: string]: string} - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
- continue_
on_ boolfailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- properties Mapping[str, str]
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- query_
file_ struri - The HCFS URI of the script that contains Hive queries.
- query_
list QueryList Response - A list of queries.
- script_
variables Mapping[str, str] - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
- properties Map<String>
- Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.
- query
File StringUri - The HCFS URI of the script that contains Hive queries.
- query
List Property Map - A list of queries.
- script
Variables Map<String> - Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).
IdentityConfig, IdentityConfigArgs
- User
Service Dictionary<string, string>Account Mapping - Map of user to service account.
- User
Service map[string]stringAccount Mapping - Map of user to service account.
- user
Service Map<String,String>Account Mapping - Map of user to service account.
- user
Service {[key: string]: string}Account Mapping - Map of user to service account.
- user_
service_ Mapping[str, str]account_ mapping - Map of user to service account.
- user
Service Map<String>Account Mapping - Map of user to service account.
IdentityConfigResponse, IdentityConfigResponseArgs
- User
Service Dictionary<string, string>Account Mapping - Map of user to service account.
- User
Service map[string]stringAccount Mapping - Map of user to service account.
- user
Service Map<String,String>Account Mapping - Map of user to service account.
- user
Service {[key: string]: string}Account Mapping - Map of user to service account.
- user_
service_ Mapping[str, str]account_ mapping - Map of user to service account.
- user
Service Map<String>Account Mapping - Map of user to service account.
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.
JobScheduling, JobSchedulingArgs
- Max
Failures intPer Hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- Max
Failures intTotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- Max
Failures intPer Hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- Max
Failures intTotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures IntegerPer Hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures IntegerTotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures numberPer Hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures numberTotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max_
failures_ intper_ hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max_
failures_ inttotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures NumberPer Hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures NumberTotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
JobSchedulingResponse, JobSchedulingResponseArgs
- Max
Failures intPer Hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- Max
Failures intTotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- Max
Failures intPer Hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- Max
Failures intTotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures IntegerPer Hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures IntegerTotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures numberPer Hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures numberTotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max_
failures_ intper_ hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max_
failures_ inttotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures NumberPer Hour - Optional. Maximum number of times per hour a driver can be restarted as a result of driver exiting with non-zero code before job is reported failed.A job might be reported as thrashing if the driver exits with a non-zero code four times within a 10-minute window.Maximum value is 10.Note: This restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
- max
Failures NumberTotal - Optional. Maximum total number of times a driver can be restarted as a result of the driver exiting with a non-zero code. After the maximum number is reached, the job will be reported as failed.Maximum value is 240.Note: Currently, this restartable job option is not supported in Dataproc workflow templates (https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows#adding_jobs_to_a_template).
KerberosConfig, KerberosConfigArgs
- Cross
Realm stringTrust Admin Server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- Cross
Realm stringTrust Kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- Cross
Realm stringTrust Realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- string
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- Enable
Kerberos bool - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- Kdc
Db stringKey Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- Key
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- Keystore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- Keystore
Uri string - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- Kms
Key stringUri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- Realm string
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- Root
Principal stringPassword Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- Tgt
Lifetime intHours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- Truststore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- Truststore
Uri string - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- Cross
Realm stringTrust Admin Server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- Cross
Realm stringTrust Kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- Cross
Realm stringTrust Realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- string
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- Enable
Kerberos bool - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- Kdc
Db stringKey Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- Key
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- Keystore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- Keystore
Uri string - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- Kms
Key stringUri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- Realm string
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- Root
Principal stringPassword Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- Tgt
Lifetime intHours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- Truststore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- Truststore
Uri string - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- cross
Realm StringTrust Admin Server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm StringTrust Kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm StringTrust Realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- String
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- enable
Kerberos Boolean - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- kdc
Db StringKey Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- key
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Uri String - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- kms
Key StringUri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- realm String
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- root
Principal StringPassword Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- tgt
Lifetime IntegerHours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- truststore
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- truststore
Uri String - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- cross
Realm stringTrust Admin Server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm stringTrust Kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm stringTrust Realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- string
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- enable
Kerberos boolean - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- kdc
Db stringKey Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- key
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Uri string - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- kms
Key stringUri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- realm string
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- root
Principal stringPassword Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- tgt
Lifetime numberHours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- truststore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- truststore
Uri string - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- cross_
realm_ strtrust_ admin_ server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross_
realm_ strtrust_ kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross_
realm_ strtrust_ realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- str
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- enable_
kerberos bool - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- kdc_
db_ strkey_ uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- key_
password_ struri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- keystore_
password_ struri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- keystore_
uri str - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- kms_
key_ struri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- realm str
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- root_
principal_ strpassword_ uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- tgt_
lifetime_ inthours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- truststore_
password_ struri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- truststore_
uri str - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- cross
Realm StringTrust Admin Server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm StringTrust Kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm StringTrust Realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- String
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- enable
Kerberos Boolean - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- kdc
Db StringKey Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- key
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Uri String - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- kms
Key StringUri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- realm String
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- root
Principal StringPassword Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- tgt
Lifetime NumberHours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- truststore
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- truststore
Uri String - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
KerberosConfigResponse, KerberosConfigResponseArgs
- Cross
Realm stringTrust Admin Server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- Cross
Realm stringTrust Kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- Cross
Realm stringTrust Realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- string
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- Enable
Kerberos bool - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- Kdc
Db stringKey Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- Key
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- Keystore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- Keystore
Uri string - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- Kms
Key stringUri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- Realm string
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- Root
Principal stringPassword Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- Tgt
Lifetime intHours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- Truststore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- Truststore
Uri string - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- Cross
Realm stringTrust Admin Server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- Cross
Realm stringTrust Kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- Cross
Realm stringTrust Realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- string
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- Enable
Kerberos bool - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- Kdc
Db stringKey Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- Key
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- Keystore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- Keystore
Uri string - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- Kms
Key stringUri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- Realm string
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- Root
Principal stringPassword Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- Tgt
Lifetime intHours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- Truststore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- Truststore
Uri string - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- cross
Realm StringTrust Admin Server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm StringTrust Kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm StringTrust Realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- String
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- enable
Kerberos Boolean - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- kdc
Db StringKey Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- key
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Uri String - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- kms
Key StringUri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- realm String
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- root
Principal StringPassword Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- tgt
Lifetime IntegerHours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- truststore
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- truststore
Uri String - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- cross
Realm stringTrust Admin Server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm stringTrust Kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm stringTrust Realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- string
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- enable
Kerberos boolean - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- kdc
Db stringKey Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- key
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Uri string - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- kms
Key stringUri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- realm string
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- root
Principal stringPassword Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- tgt
Lifetime numberHours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- truststore
Password stringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- truststore
Uri string - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- cross_
realm_ strtrust_ admin_ server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross_
realm_ strtrust_ kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross_
realm_ strtrust_ realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- str
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- enable_
kerberos bool - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- kdc_
db_ strkey_ uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- key_
password_ struri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- keystore_
password_ struri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- keystore_
uri str - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- kms_
key_ struri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- realm str
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- root_
principal_ strpassword_ uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- tgt_
lifetime_ inthours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- truststore_
password_ struri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- truststore_
uri str - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- cross
Realm StringTrust Admin Server - Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm StringTrust Kdc - Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
- cross
Realm StringTrust Realm - Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
- String
- Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
- enable
Kerberos Boolean - Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
- kdc
Db StringKey Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
- key
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
- keystore
Uri String - Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
- kms
Key StringUri - Optional. The uri of the KMS key used to encrypt various sensitive files.
- realm String
- Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
- root
Principal StringPassword Uri - Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
- tgt
Lifetime NumberHours - Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
- truststore
Password StringUri - Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
- truststore
Uri String - Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
LifecycleConfig, LifecycleConfigArgs
- Auto
Delete stringTime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Auto
Delete stringTtl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Idle
Delete stringTtl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Auto
Delete stringTime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Auto
Delete stringTtl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Idle
Delete stringTtl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete StringTime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete StringTtl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle
Delete StringTtl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete stringTime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete stringTtl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle
Delete stringTtl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto_
delete_ strtime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto_
delete_ strttl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle_
delete_ strttl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete StringTime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete StringTtl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle
Delete StringTtl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
LifecycleConfigResponse, LifecycleConfigResponseArgs
- Auto
Delete stringTime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Auto
Delete stringTtl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Idle
Delete stringTtl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Idle
Start stringTime - The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Auto
Delete stringTime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Auto
Delete stringTtl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Idle
Delete stringTtl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- Idle
Start stringTime - The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete StringTime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete StringTtl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle
Delete StringTtl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle
Start StringTime - The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete stringTime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete stringTtl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle
Delete stringTtl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle
Start stringTime - The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto_
delete_ strtime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto_
delete_ strttl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle_
delete_ strttl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle_
start_ strtime - The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete StringTime - Optional. The time when cluster will be auto-deleted (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- auto
Delete StringTtl - Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle
Delete StringTtl - Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).
- idle
Start StringTime - The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).
LoggingConfig, LoggingConfigArgs
- Driver
Log Dictionary<string, string>Levels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
- Driver
Log map[string]stringLevels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
- driver
Log Map<String,String>Levels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
- driver
Log {[key: string]: string}Levels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
- driver_
log_ Mapping[str, str]levels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
- driver
Log Map<String>Levels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
LoggingConfigResponse, LoggingConfigResponseArgs
- Driver
Log Dictionary<string, string>Levels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
- Driver
Log map[string]stringLevels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
- driver
Log Map<String,String>Levels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
- driver
Log {[key: string]: string}Levels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
- driver_
log_ Mapping[str, str]levels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
- driver
Log Map<String>Levels - The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'
ManagedCluster, ManagedClusterArgs
- Cluster
Name string - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- Config
Pulumi.
Google Native. Dataproc. V1. Inputs. Cluster Config - The cluster configuration.
- Labels Dictionary<string, string>
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
- Cluster
Name string - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- Config
Cluster
Config - The cluster configuration.
- Labels map[string]string
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
- cluster
Name String - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- config
Cluster
Config - The cluster configuration.
- labels Map<String,String>
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
- cluster
Name string - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- config
Cluster
Config - The cluster configuration.
- labels {[key: string]: string}
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
- cluster_
name str - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- config
Cluster
Config - The cluster configuration.
- labels Mapping[str, str]
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
- cluster
Name String - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- config Property Map
- The cluster configuration.
- labels Map<String>
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
ManagedClusterResponse, ManagedClusterResponseArgs
- Cluster
Name string - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- Config
Pulumi.
Google Native. Dataproc. V1. Inputs. Cluster Config Response - The cluster configuration.
- Labels Dictionary<string, string>
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
- Cluster
Name string - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- Config
Cluster
Config Response - The cluster configuration.
- Labels map[string]string
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
- cluster
Name String - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- config
Cluster
Config Response - The cluster configuration.
- labels Map<String,String>
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
- cluster
Name string - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- config
Cluster
Config Response - The cluster configuration.
- labels {[key: string]: string}
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
- cluster_
name str - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- config
Cluster
Config Response - The cluster configuration.
- labels Mapping[str, str]
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
- cluster
Name String - The cluster name prefix. A unique cluster name will be formed by appending a random suffix.The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.
- config Property Map
- The cluster configuration.
- labels Map<String>
- Optional. The labels to associate with this cluster.Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given cluster.
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.
MetastoreConfig, MetastoreConfigArgs
- Dataproc
Metastore stringService - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
- Dataproc
Metastore stringService - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
- dataproc
Metastore StringService - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
- dataproc
Metastore stringService - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
- dataproc_
metastore_ strservice - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
- dataproc
Metastore StringService - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
MetastoreConfigResponse, MetastoreConfigResponseArgs
- Dataproc
Metastore stringService - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
- Dataproc
Metastore stringService - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
- dataproc
Metastore StringService - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
- dataproc
Metastore stringService - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
- dataproc_
metastore_ strservice - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
- dataproc
Metastore StringService - Resource name of an existing Dataproc Metastore service.Example: projects/[project_id]/locations/[dataproc_region]/services/[service-name]
Metric, MetricArgs
- Metric
Source Pulumi.Google Native. Dataproc. V1. Metric Metric Source - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
- Metric
Overrides List<string> - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
- Metric
Source MetricMetric Source - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
- Metric
Overrides []string - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
- metric
Source MetricMetric Source - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
- metric
Overrides List<String> - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
- metric
Source MetricMetric Source - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
- metric
Overrides string[] - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
- metric_
source MetricMetric Source - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
- metric_
overrides Sequence[str] - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
- metric
Source "METRIC_SOURCE_UNSPECIFIED" | "MONITORING_AGENT_DEFAULTS" | "HDFS" | "SPARK" | "YARN" | "SPARK_HISTORY_SERVER" | "HIVESERVER2" | "HIVEMETASTORE" | "FLINK" - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
- metric
Overrides List<String> - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
MetricMetricSource, MetricMetricSourceArgs
- Metric
Source Unspecified - METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
- Monitoring
Agent Defaults - MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
- Hdfs
- HDFSHDFS metric source.
- Spark
- SPARKSpark metric source.
- Yarn
- YARNYARN metric source.
- Spark
History Server - SPARK_HISTORY_SERVERSpark History Server metric source.
- Hiveserver2
- HIVESERVER2Hiveserver2 metric source.
- Hivemetastore
- HIVEMETASTOREhivemetastore metric source
- Flink
- FLINKflink metric source
- Metric
Metric Source Metric Source Unspecified - METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
- Metric
Metric Source Monitoring Agent Defaults - MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
- Metric
Metric Source Hdfs - HDFSHDFS metric source.
- Metric
Metric Source Spark - SPARKSpark metric source.
- Metric
Metric Source Yarn - YARNYARN metric source.
- Metric
Metric Source Spark History Server - SPARK_HISTORY_SERVERSpark History Server metric source.
- Metric
Metric Source Hiveserver2 - HIVESERVER2Hiveserver2 metric source.
- Metric
Metric Source Hivemetastore - HIVEMETASTOREhivemetastore metric source
- Metric
Metric Source Flink - FLINKflink metric source
- Metric
Source Unspecified - METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
- Monitoring
Agent Defaults - MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
- Hdfs
- HDFSHDFS metric source.
- Spark
- SPARKSpark metric source.
- Yarn
- YARNYARN metric source.
- Spark
History Server - SPARK_HISTORY_SERVERSpark History Server metric source.
- Hiveserver2
- HIVESERVER2Hiveserver2 metric source.
- Hivemetastore
- HIVEMETASTOREhivemetastore metric source
- Flink
- FLINKflink metric source
- Metric
Source Unspecified - METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
- Monitoring
Agent Defaults - MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
- Hdfs
- HDFSHDFS metric source.
- Spark
- SPARKSpark metric source.
- Yarn
- YARNYARN metric source.
- Spark
History Server - SPARK_HISTORY_SERVERSpark History Server metric source.
- Hiveserver2
- HIVESERVER2Hiveserver2 metric source.
- Hivemetastore
- HIVEMETASTOREhivemetastore metric source
- Flink
- FLINKflink metric source
- METRIC_SOURCE_UNSPECIFIED
- METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
- MONITORING_AGENT_DEFAULTS
- MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
- HDFS
- HDFSHDFS metric source.
- SPARK
- SPARKSpark metric source.
- YARN
- YARNYARN metric source.
- SPARK_HISTORY_SERVER
- SPARK_HISTORY_SERVERSpark History Server metric source.
- HIVESERVER2
- HIVESERVER2Hiveserver2 metric source.
- HIVEMETASTORE
- HIVEMETASTOREhivemetastore metric source
- FLINK
- FLINKflink metric source
- "METRIC_SOURCE_UNSPECIFIED"
- METRIC_SOURCE_UNSPECIFIEDRequired unspecified metric source.
- "MONITORING_AGENT_DEFAULTS"
- MONITORING_AGENT_DEFAULTSMonitoring agent metrics. If this source is enabled, Dataproc enables the monitoring agent in Compute Engine, and collects monitoring agent metrics, which are published with an agent.googleapis.com prefix.
- "HDFS"
- HDFSHDFS metric source.
- "SPARK"
- SPARKSpark metric source.
- "YARN"
- YARNYARN metric source.
- "SPARK_HISTORY_SERVER"
- SPARK_HISTORY_SERVERSpark History Server metric source.
- "HIVESERVER2"
- HIVESERVER2Hiveserver2 metric source.
- "HIVEMETASTORE"
- HIVEMETASTOREhivemetastore metric source
- "FLINK"
- FLINKflink metric source
MetricResponse, MetricResponseArgs
- Metric
Overrides List<string> - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
- Metric
Source string - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
- Metric
Overrides []string - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
- Metric
Source string - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
- metric
Overrides List<String> - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
- metric
Source String - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
- metric
Overrides string[] - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
- metric
Source string - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
- metric_
overrides Sequence[str] - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
- metric_
source str - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
- metric
Overrides List<String> - Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) to collect for the metric course (for the SPARK metric source (any Spark metric (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified).Provide metrics in the following format: METRIC_SOURCE: INSTANCE:GROUP:METRIC Use camelcase as appropriate.Examples: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: Only the specified overridden metrics are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
- metric
Source String - A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
NamespacedGkeDeploymentTarget, NamespacedGkeDeploymentTargetArgs
- Cluster
Namespace string - Optional. A namespace within the GKE cluster to deploy into.
- Target
Gke stringCluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- Cluster
Namespace string - Optional. A namespace within the GKE cluster to deploy into.
- Target
Gke stringCluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- cluster
Namespace String - Optional. A namespace within the GKE cluster to deploy into.
- target
Gke StringCluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- cluster
Namespace string - Optional. A namespace within the GKE cluster to deploy into.
- target
Gke stringCluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- cluster_
namespace str - Optional. A namespace within the GKE cluster to deploy into.
- target_
gke_ strcluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- cluster
Namespace String - Optional. A namespace within the GKE cluster to deploy into.
- target
Gke StringCluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
NamespacedGkeDeploymentTargetResponse, NamespacedGkeDeploymentTargetResponseArgs
- Cluster
Namespace string - Optional. A namespace within the GKE cluster to deploy into.
- Target
Gke stringCluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- Cluster
Namespace string - Optional. A namespace within the GKE cluster to deploy into.
- Target
Gke stringCluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- cluster
Namespace String - Optional. A namespace within the GKE cluster to deploy into.
- target
Gke StringCluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- cluster
Namespace string - Optional. A namespace within the GKE cluster to deploy into.
- target
Gke stringCluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- cluster_
namespace str - Optional. A namespace within the GKE cluster to deploy into.
- target_
gke_ strcluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
- cluster
Namespace String - Optional. A namespace within the GKE cluster to deploy into.
- target
Gke StringCluster - Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
NodeGroup, NodeGroupArgs
- 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.
- 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 - Optional. The node group instance group configuration.
- 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.
- 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.
- 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 - Optional. The node group instance group configuration.
- roles List<"ROLE_UNSPECIFIED" | "DRIVER">
- Node group roles.
- labels Map<String>
- Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
- name String
- The Node group resource name (https://aip.dev/122).
- node
Group Property MapConfig - Optional. The node group instance group configuration.
NodeGroupAffinity, NodeGroupAffinityArgs
- Node
Group stringUri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
- Node
Group stringUri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
- node
Group StringUri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
- node
Group stringUri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
- node_
group_ struri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
- node
Group StringUri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
NodeGroupAffinityResponse, NodeGroupAffinityResponseArgs
- Node
Group stringUri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
- Node
Group stringUri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
- node
Group StringUri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
- node
Group stringUri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
- node_
group_ struri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
- node
Group StringUri - The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 projects/[project_id]/zones/[zone]/nodeGroups/node-group-1 node-group-1
NodeGroupResponse, NodeGroupResponseArgs
- Labels Dictionary<string, string>
- Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
- Name string
- The Node group resource name (https://aip.dev/122).
- Node
Group Pulumi.Config Google Native. Dataproc. V1. Inputs. Instance Group Config Response - Optional. The node group instance group configuration.
- Roles List<string>
- Node group roles.
- Labels map[string]string
- Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
- Name string
- The Node group resource name (https://aip.dev/122).
- Node
Group InstanceConfig Group Config Response - Optional. The node group instance group configuration.
- Roles []string
- Node group roles.
- labels Map<String,String>
- Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
- name String
- The Node group resource name (https://aip.dev/122).
- node
Group InstanceConfig Group Config Response - Optional. The node group instance group configuration.
- roles List<String>
- Node group roles.
- labels {[key: string]: string}
- Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
- name string
- The Node group resource name (https://aip.dev/122).
- node
Group InstanceConfig Group Config Response - Optional. The node group instance group configuration.
- roles string[]
- Node group roles.
- labels Mapping[str, str]
- Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
- name str
- The Node group resource name (https://aip.dev/122).
- node_
group_ Instanceconfig Group Config Response - Optional. The node group instance group configuration.
- roles Sequence[str]
- Node group roles.
- labels Map<String>
- Optional. Node group labels. Label keys must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values can be empty. If specified, they must consist of from 1 to 63 characters and conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). The node group must have no more than 32 labelsn.
- name String
- The Node group resource name (https://aip.dev/122).
- node
Group Property MapConfig - Optional. The node group instance group configuration.
- roles List<String>
- Node group roles.
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.
NodeInitializationAction, NodeInitializationActionArgs
- Executable
File string - Cloud Storage URI of executable file.
- Execution
Timeout string - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
- Executable
File string - Cloud Storage URI of executable file.
- Execution
Timeout string - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
- executable
File String - Cloud Storage URI of executable file.
- execution
Timeout String - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
- executable
File string - Cloud Storage URI of executable file.
- execution
Timeout string - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
- executable_
file str - Cloud Storage URI of executable file.
- execution_
timeout str - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
- executable
File String - Cloud Storage URI of executable file.
- execution
Timeout String - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
NodeInitializationActionResponse, NodeInitializationActionResponseArgs
- Executable
File string - Cloud Storage URI of executable file.
- Execution
Timeout string - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
- Executable
File string - Cloud Storage URI of executable file.
- Execution
Timeout string - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
- executable
File String - Cloud Storage URI of executable file.
- execution
Timeout String - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
- executable
File string - Cloud Storage URI of executable file.
- execution
Timeout string - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
- executable_
file str - Cloud Storage URI of executable file.
- execution_
timeout str - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
- executable
File String - Cloud Storage URI of executable file.
- execution
Timeout String - Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
OrderedJob, OrderedJobArgs
- Step
Id string - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- Flink
Job Pulumi.Google Native. Dataproc. V1. Inputs. Flink Job - Optional. Job is a Flink job.
- Hadoop
Job Pulumi.Google Native. Dataproc. V1. Inputs. Hadoop Job - Optional. Job is a Hadoop job.
- Hive
Job Pulumi.Google Native. Dataproc. V1. Inputs. Hive Job - Optional. Job is a Hive job.
- Labels Dictionary<string, string>
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- Pig
Job Pulumi.Google Native. Dataproc. V1. Inputs. Pig Job - Optional. Job is a Pig job.
- Prerequisite
Step List<string>Ids - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- Presto
Job Pulumi.Google Native. Dataproc. V1. Inputs. Presto Job - Optional. Job is a Presto job.
- Pyspark
Job Pulumi.Google Native. Dataproc. V1. Inputs. Py Spark Job - Optional. Job is a PySpark job.
- Scheduling
Pulumi.
Google Native. Dataproc. V1. Inputs. Job Scheduling - Optional. Job scheduling configuration.
- Spark
Job Pulumi.Google Native. Dataproc. V1. Inputs. Spark Job - Optional. Job is a Spark job.
- Spark
RJob Pulumi.Google Native. Dataproc. V1. Inputs. Spark RJob - Optional. Job is a SparkR job.
- Spark
Sql Pulumi.Job Google Native. Dataproc. V1. Inputs. Spark Sql Job - Optional. Job is a SparkSql job.
- Trino
Job Pulumi.Google Native. Dataproc. V1. Inputs. Trino Job - Optional. Job is a Trino job.
- Step
Id string - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- Flink
Job FlinkJob - Optional. Job is a Flink job.
- Hadoop
Job HadoopJob - Optional. Job is a Hadoop job.
- Hive
Job HiveJob - Optional. Job is a Hive job.
- Labels map[string]string
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- Pig
Job PigJob - Optional. Job is a Pig job.
- Prerequisite
Step []stringIds - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- Presto
Job PrestoJob - Optional. Job is a Presto job.
- Pyspark
Job PySpark Job - Optional. Job is a PySpark job.
- Scheduling
Job
Scheduling - Optional. Job scheduling configuration.
- Spark
Job SparkJob - Optional. Job is a Spark job.
- Spark
RJob SparkRJob - Optional. Job is a SparkR job.
- Spark
Sql SparkJob Sql Job - Optional. Job is a SparkSql job.
- Trino
Job TrinoJob - Optional. Job is a Trino job.
- step
Id String - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- flink
Job FlinkJob - Optional. Job is a Flink job.
- hadoop
Job HadoopJob - Optional. Job is a Hadoop job.
- hive
Job HiveJob - Optional. Job is a Hive job.
- labels Map<String,String>
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- pig
Job PigJob - Optional. Job is a Pig job.
- prerequisite
Step List<String>Ids - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- presto
Job PrestoJob - Optional. Job is a Presto job.
- pyspark
Job PySpark Job - Optional. Job is a PySpark job.
- scheduling
Job
Scheduling - Optional. Job scheduling configuration.
- spark
Job SparkJob - Optional. Job is a Spark job.
- spark
RJob SparkRJob - Optional. Job is a SparkR job.
- spark
Sql SparkJob Sql Job - Optional. Job is a SparkSql job.
- trino
Job TrinoJob - Optional. Job is a Trino job.
- step
Id string - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- flink
Job FlinkJob - Optional. Job is a Flink job.
- hadoop
Job HadoopJob - Optional. Job is a Hadoop job.
- hive
Job HiveJob - Optional. Job is a Hive job.
- labels {[key: string]: string}
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- pig
Job PigJob - Optional. Job is a Pig job.
- prerequisite
Step string[]Ids - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- presto
Job PrestoJob - Optional. Job is a Presto job.
- pyspark
Job PySpark Job - Optional. Job is a PySpark job.
- scheduling
Job
Scheduling - Optional. Job scheduling configuration.
- spark
Job SparkJob - Optional. Job is a Spark job.
- spark
RJob SparkRJob - Optional. Job is a SparkR job.
- spark
Sql SparkJob Sql Job - Optional. Job is a SparkSql job.
- trino
Job TrinoJob - Optional. Job is a Trino job.
- step_
id str - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- flink_
job FlinkJob - Optional. Job is a Flink job.
- hadoop_
job HadoopJob - Optional. Job is a Hadoop job.
- hive_
job HiveJob - Optional. Job is a Hive job.
- labels Mapping[str, str]
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- pig_
job PigJob - Optional. Job is a Pig job.
- prerequisite_
step_ Sequence[str]ids - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- presto_
job PrestoJob - Optional. Job is a Presto job.
- pyspark_
job PySpark Job - Optional. Job is a PySpark job.
- scheduling
Job
Scheduling - Optional. Job scheduling configuration.
- spark_
job SparkJob - Optional. Job is a Spark job.
- spark_
r_ Sparkjob RJob - Optional. Job is a SparkR job.
- spark_
sql_ Sparkjob Sql Job - Optional. Job is a SparkSql job.
- trino_
job TrinoJob - Optional. Job is a Trino job.
- step
Id String - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- flink
Job Property Map - Optional. Job is a Flink job.
- hadoop
Job Property Map - Optional. Job is a Hadoop job.
- hive
Job Property Map - Optional. Job is a Hive job.
- labels Map<String>
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- pig
Job Property Map - Optional. Job is a Pig job.
- prerequisite
Step List<String>Ids - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- presto
Job Property Map - Optional. Job is a Presto job.
- pyspark
Job Property Map - Optional. Job is a PySpark job.
- scheduling Property Map
- Optional. Job scheduling configuration.
- spark
Job Property Map - Optional. Job is a Spark job.
- spark
RJob Property Map - Optional. Job is a SparkR job.
- spark
Sql Property MapJob - Optional. Job is a SparkSql job.
- trino
Job Property Map - Optional. Job is a Trino job.
OrderedJobResponse, OrderedJobResponseArgs
- Flink
Job Pulumi.Google Native. Dataproc. V1. Inputs. Flink Job Response - Optional. Job is a Flink job.
- Hadoop
Job Pulumi.Google Native. Dataproc. V1. Inputs. Hadoop Job Response - Optional. Job is a Hadoop job.
- Hive
Job Pulumi.Google Native. Dataproc. V1. Inputs. Hive Job Response - Optional. Job is a Hive job.
- Labels Dictionary<string, string>
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- Pig
Job Pulumi.Google Native. Dataproc. V1. Inputs. Pig Job Response - Optional. Job is a Pig job.
- Prerequisite
Step List<string>Ids - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- Presto
Job Pulumi.Google Native. Dataproc. V1. Inputs. Presto Job Response - Optional. Job is a Presto job.
- Pyspark
Job Pulumi.Google Native. Dataproc. V1. Inputs. Py Spark Job Response - Optional. Job is a PySpark job.
- Scheduling
Pulumi.
Google Native. Dataproc. V1. Inputs. Job Scheduling Response - Optional. Job scheduling configuration.
- Spark
Job Pulumi.Google Native. Dataproc. V1. Inputs. Spark Job Response - Optional. Job is a Spark job.
- Spark
RJob Pulumi.Google Native. Dataproc. V1. Inputs. Spark RJob Response - Optional. Job is a SparkR job.
- Spark
Sql Pulumi.Job Google Native. Dataproc. V1. Inputs. Spark Sql Job Response - Optional. Job is a SparkSql job.
- Step
Id string - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- Trino
Job Pulumi.Google Native. Dataproc. V1. Inputs. Trino Job Response - Optional. Job is a Trino job.
- Flink
Job FlinkJob Response - Optional. Job is a Flink job.
- Hadoop
Job HadoopJob Response - Optional. Job is a Hadoop job.
- Hive
Job HiveJob Response - Optional. Job is a Hive job.
- Labels map[string]string
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- Pig
Job PigJob Response - Optional. Job is a Pig job.
- Prerequisite
Step []stringIds - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- Presto
Job PrestoJob Response - Optional. Job is a Presto job.
- Pyspark
Job PySpark Job Response - Optional. Job is a PySpark job.
- Scheduling
Job
Scheduling Response - Optional. Job scheduling configuration.
- Spark
Job SparkJob Response - Optional. Job is a Spark job.
- Spark
RJob SparkRJob Response - Optional. Job is a SparkR job.
- Spark
Sql SparkJob Sql Job Response - Optional. Job is a SparkSql job.
- Step
Id string - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- Trino
Job TrinoJob Response - Optional. Job is a Trino job.
- flink
Job FlinkJob Response - Optional. Job is a Flink job.
- hadoop
Job HadoopJob Response - Optional. Job is a Hadoop job.
- hive
Job HiveJob Response - Optional. Job is a Hive job.
- labels Map<String,String>
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- pig
Job PigJob Response - Optional. Job is a Pig job.
- prerequisite
Step List<String>Ids - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- presto
Job PrestoJob Response - Optional. Job is a Presto job.
- pyspark
Job PySpark Job Response - Optional. Job is a PySpark job.
- scheduling
Job
Scheduling Response - Optional. Job scheduling configuration.
- spark
Job SparkJob Response - Optional. Job is a Spark job.
- spark
RJob SparkRJob Response - Optional. Job is a SparkR job.
- spark
Sql SparkJob Sql Job Response - Optional. Job is a SparkSql job.
- step
Id String - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- trino
Job TrinoJob Response - Optional. Job is a Trino job.
- flink
Job FlinkJob Response - Optional. Job is a Flink job.
- hadoop
Job HadoopJob Response - Optional. Job is a Hadoop job.
- hive
Job HiveJob Response - Optional. Job is a Hive job.
- labels {[key: string]: string}
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- pig
Job PigJob Response - Optional. Job is a Pig job.
- prerequisite
Step string[]Ids - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- presto
Job PrestoJob Response - Optional. Job is a Presto job.
- pyspark
Job PySpark Job Response - Optional. Job is a PySpark job.
- scheduling
Job
Scheduling Response - Optional. Job scheduling configuration.
- spark
Job SparkJob Response - Optional. Job is a Spark job.
- spark
RJob SparkRJob Response - Optional. Job is a SparkR job.
- spark
Sql SparkJob Sql Job Response - Optional. Job is a SparkSql job.
- step
Id string - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- trino
Job TrinoJob Response - Optional. Job is a Trino job.
- flink_
job FlinkJob Response - Optional. Job is a Flink job.
- hadoop_
job HadoopJob Response - Optional. Job is a Hadoop job.
- hive_
job HiveJob Response - Optional. Job is a Hive job.
- labels Mapping[str, str]
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- pig_
job PigJob Response - Optional. Job is a Pig job.
- prerequisite_
step_ Sequence[str]ids - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- presto_
job PrestoJob Response - Optional. Job is a Presto job.
- pyspark_
job PySpark Job Response - Optional. Job is a PySpark job.
- scheduling
Job
Scheduling Response - Optional. Job scheduling configuration.
- spark_
job SparkJob Response - Optional. Job is a Spark job.
- spark_
r_ Sparkjob RJob Response - Optional. Job is a SparkR job.
- spark_
sql_ Sparkjob Sql Job Response - Optional. Job is a SparkSql job.
- step_
id str - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- trino_
job TrinoJob Response - Optional. Job is a Trino job.
- flink
Job Property Map - Optional. Job is a Flink job.
- hadoop
Job Property Map - Optional. Job is a Hadoop job.
- hive
Job Property Map - Optional. Job is a Hive job.
- labels Map<String>
- Optional. The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 32 labels can be associated with a given job.
- pig
Job Property Map - Optional. Job is a Pig job.
- prerequisite
Step List<String>Ids - Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
- presto
Job Property Map - Optional. Job is a Presto job.
- pyspark
Job Property Map - Optional. Job is a PySpark job.
- scheduling Property Map
- Optional. Job scheduling configuration.
- spark
Job Property Map - Optional. Job is a Spark job.
- spark
RJob Property Map - Optional. Job is a SparkR job.
- spark
Sql Property MapJob - Optional. Job is a SparkSql job.
- step
Id String - The step id. The id must be unique among all jobs within the template.The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.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 between 3 and 50 characters.
- trino
Job Property Map - Optional. Job is a Trino job.
ParameterValidation, ParameterValidationArgs
- Regex
Pulumi.
Google Native. Dataproc. V1. Inputs. Regex Validation - Validation based on regular expressions.
- Values
Pulumi.
Google Native. Dataproc. V1. Inputs. Value Validation - Validation based on a list of allowed values.
- Regex
Regex
Validation - Validation based on regular expressions.
- Values
Value
Validation - Validation based on a list of allowed values.
- regex
Regex
Validation - Validation based on regular expressions.
- values
Value
Validation - Validation based on a list of allowed values.
- regex
Regex
Validation - Validation based on regular expressions.
- values
Value
Validation - Validation based on a list of allowed values.
- regex
Regex
Validation - Validation based on regular expressions.
- values
Value
Validation - Validation based on a list of allowed values.
- regex Property Map
- Validation based on regular expressions.
- values Property Map
- Validation based on a list of allowed values.
ParameterValidationResponse, ParameterValidationResponseArgs
- Regex
Pulumi.
Google Native. Dataproc. V1. Inputs. Regex Validation Response - Validation based on regular expressions.
- Values
Pulumi.
Google Native. Dataproc. V1. Inputs. Value Validation Response - Validation based on a list of allowed values.
- Regex
Regex
Validation Response - Validation based on regular expressions.
- Values
Value
Validation Response - Validation based on a list of allowed values.
- regex
Regex
Validation Response - Validation based on regular expressions.
- values
Value
Validation Response - Validation based on a list of allowed values.
- regex
Regex
Validation Response - Validation based on regular expressions.
- values
Value
Validation Response - Validation based on a list of allowed values.
- regex
Regex
Validation Response - Validation based on regular expressions.
- values
Value
Validation Response - Validation based on a list of allowed values.
- regex Property Map
- Validation based on regular expressions.
- values Property Map
- Validation based on a list of allowed values.
PigJob, PigJobArgs
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config - Optional. The runtime log config for job execution.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- Query
File stringUri - The HCFS URI of the script that contains the Pig queries.
- Query
List Pulumi.Google Native. Dataproc. V1. Inputs. Query List - A list of queries.
- Script
Variables Dictionary<string, string> - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Jar
File []stringUris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- Logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- Query
File stringUri - The HCFS URI of the script that contains the Pig queries.
- Query
List QueryList - A list of queries.
- Script
Variables map[string]string - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- query
File StringUri - The HCFS URI of the script that contains the Pig queries.
- query
List QueryList - A list of queries.
- script
Variables Map<String,String> - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
- continue
On booleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File string[]Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- query
File stringUri - The HCFS URI of the script that contains the Pig queries.
- query
List QueryList - A list of queries.
- script
Variables {[key: string]: string} - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
- continue_
on_ boolfailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- logging_
config LoggingConfig - Optional. The runtime log config for job execution.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- query_
file_ struri - The HCFS URI of the script that contains the Pig queries.
- query_
list QueryList - A list of queries.
- script_
variables Mapping[str, str] - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- query
File StringUri - The HCFS URI of the script that contains the Pig queries.
- query
List Property Map - A list of queries.
- script
Variables Map<String> - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
PigJobResponse, PigJobResponseArgs
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config Response - Optional. The runtime log config for job execution.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- Query
File stringUri - The HCFS URI of the script that contains the Pig queries.
- Query
List Pulumi.Google Native. Dataproc. V1. Inputs. Query List Response - A list of queries.
- Script
Variables Dictionary<string, string> - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Jar
File []stringUris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- Logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- Query
File stringUri - The HCFS URI of the script that contains the Pig queries.
- Query
List QueryList Response - A list of queries.
- Script
Variables map[string]string - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- query
File StringUri - The HCFS URI of the script that contains the Pig queries.
- query
List QueryList Response - A list of queries.
- script
Variables Map<String,String> - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
- continue
On booleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File string[]Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- query
File stringUri - The HCFS URI of the script that contains the Pig queries.
- query
List QueryList Response - A list of queries.
- script
Variables {[key: string]: string} - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
- continue_
on_ boolfailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- logging_
config LoggingConfig Response - Optional. The runtime log config for job execution.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- query_
file_ struri - The HCFS URI of the script that contains the Pig queries.
- query_
list QueryList Response - A list of queries.
- script_
variables Mapping[str, str] - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.
- query
File StringUri - The HCFS URI of the script that contains the Pig queries.
- query
List Property Map - A list of queries.
- script
Variables Map<String> - Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).
PrestoJob, PrestoJobArgs
- List<string>
- Optional. Presto client tags to attach to this query
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config - Optional. The runtime log config for job execution.
- Output
Format string - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List Pulumi.Google Native. Dataproc. V1. Inputs. Query List - A list of queries.
- []string
- Optional. Presto client tags to attach to this query
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- Output
Format string - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- Properties map[string]string
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List QueryList - A list of queries.
- List<String>
- Optional. Presto client tags to attach to this query
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- output
Format String - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- properties Map<String,String>
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList - A list of queries.
- string[]
- Optional. Presto client tags to attach to this query
- continue
On booleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- output
Format string - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- properties {[key: string]: string}
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- query
File stringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList - A list of queries.
- Sequence[str]
- Optional. Presto client tags to attach to this query
- continue_
on_ boolfailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging_
config LoggingConfig - Optional. The runtime log config for job execution.
- output_
format str - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- properties Mapping[str, str]
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- query_
file_ struri - The HCFS URI of the script that contains SQL queries.
- query_
list QueryList - A list of queries.
- List<String>
- Optional. Presto client tags to attach to this query
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- output
Format String - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- properties Map<String>
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List Property Map - A list of queries.
PrestoJobResponse, PrestoJobResponseArgs
- List<string>
- Optional. Presto client tags to attach to this query
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config Response - Optional. The runtime log config for job execution.
- Output
Format string - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List Pulumi.Google Native. Dataproc. V1. Inputs. Query List Response - A list of queries.
- []string
- Optional. Presto client tags to attach to this query
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- Output
Format string - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- Properties map[string]string
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List QueryList Response - A list of queries.
- List<String>
- Optional. Presto client tags to attach to this query
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- output
Format String - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- properties Map<String,String>
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList Response - A list of queries.
- string[]
- Optional. Presto client tags to attach to this query
- continue
On booleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- output
Format string - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- properties {[key: string]: string}
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- query
File stringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList Response - A list of queries.
- Sequence[str]
- Optional. Presto client tags to attach to this query
- continue_
on_ boolfailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging_
config LoggingConfig Response - Optional. The runtime log config for job execution.
- output_
format str - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- properties Mapping[str, str]
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- query_
file_ struri - The HCFS URI of the script that contains SQL queries.
- query_
list QueryList Response - A list of queries.
- List<String>
- Optional. Presto client tags to attach to this query
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- output
Format String - Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
- properties Map<String>
- Optional. A mapping of property names to values. Used to set Presto session properties (https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List Property Map - A list of queries.
PySparkJob, PySparkJobArgs
- Main
Python stringFile Uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- Archive
Uris List<string> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args List<string>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris List<string> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config - Optional. The runtime log config for job execution.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- Python
File List<string>Uris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
- Main
Python stringFile Uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- Archive
Uris []string - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args []string
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris []string - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Jar
File []stringUris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- Logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- Python
File []stringUris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
- main
Python StringFile Uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- python
File List<String>Uris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
- main
Python stringFile Uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- archive
Uris string[] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args string[]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris string[] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File string[]Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- python
File string[]Uris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
- main_
python_ strfile_ uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- archive_
uris Sequence[str] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args Sequence[str]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file_
uris Sequence[str] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- logging_
config LoggingConfig - Optional. The runtime log config for job execution.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- python_
file_ Sequence[str]uris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
- main
Python StringFile Uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- python
File List<String>Uris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
PySparkJobResponse, PySparkJobResponseArgs
- Archive
Uris List<string> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args List<string>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris List<string> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config Response - Optional. The runtime log config for job execution.
- Main
Python stringFile Uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- Python
File List<string>Uris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
- Archive
Uris []string - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args []string
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris []string - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Jar
File []stringUris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- Logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- Main
Python stringFile Uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- Python
File []stringUris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- main
Python StringFile Uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- python
File List<String>Uris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
- archive
Uris string[] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args string[]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris string[] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File string[]Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- main
Python stringFile Uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- python
File string[]Uris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
- archive_
uris Sequence[str] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args Sequence[str]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file_
uris Sequence[str] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- logging_
config LoggingConfig Response - Optional. The runtime log config for job execution.
- main_
python_ strfile_ uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- python_
file_ Sequence[str]uris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- main
Python StringFile Uri - The HCFS URI of the main Python file to use as the driver. Must be a .py file.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- python
File List<String>Uris - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
QueryList, QueryListArgs
- Queries List<string>
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
- Queries []string
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
- queries List<String>
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
- queries string[]
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
- queries Sequence[str]
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
- queries List<String>
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
QueryListResponse, QueryListResponseArgs
- Queries List<string>
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
- Queries []string
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
- queries List<String>
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
- queries string[]
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
- queries Sequence[str]
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
- queries List<String>
- The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
RegexValidation, RegexValidationArgs
- Regexes List<string>
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
- Regexes []string
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
- regexes List<String>
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
- regexes string[]
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
- regexes Sequence[str]
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
- regexes List<String>
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
RegexValidationResponse, RegexValidationResponseArgs
- Regexes List<string>
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
- Regexes []string
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
- regexes List<String>
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
- regexes string[]
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
- regexes Sequence[str]
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
- regexes List<String>
- RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).
ReservationAffinity, ReservationAffinityArgs
- Consume
Reservation Pulumi.Type Google Native. Dataproc. V1. Reservation Affinity Consume Reservation Type - Optional. Type of reservation to consume
- Key string
- Optional. Corresponds to the label key of reservation resource.
- Values List<string>
- Optional. Corresponds to the label values of reservation resource.
- Consume
Reservation ReservationType Affinity Consume Reservation Type - Optional. Type of reservation to consume
- Key string
- Optional. Corresponds to the label key of reservation resource.
- Values []string
- Optional. Corresponds to the label values of reservation resource.
- consume
Reservation ReservationType Affinity Consume Reservation Type - Optional. Type of reservation to consume
- key String
- Optional. Corresponds to the label key of reservation resource.
- values List<String>
- Optional. Corresponds to the label values of reservation resource.
- consume
Reservation ReservationType Affinity Consume Reservation Type - Optional. Type of reservation to consume
- key string
- Optional. Corresponds to the label key of reservation resource.
- values string[]
- Optional. Corresponds to the label values of reservation resource.
- consume_
reservation_ Reservationtype Affinity Consume Reservation Type - Optional. Type of reservation to consume
- key str
- Optional. Corresponds to the label key of reservation resource.
- values Sequence[str]
- Optional. Corresponds to the label values of reservation resource.
- consume
Reservation "TYPE_UNSPECIFIED" | "NO_RESERVATION" | "ANY_RESERVATION" | "SPECIFIC_RESERVATION"Type - Optional. Type of reservation to consume
- key String
- Optional. Corresponds to the label key of reservation resource.
- values List<String>
- Optional. Corresponds to the label values of reservation resource.
ReservationAffinityConsumeReservationType, ReservationAffinityConsumeReservationTypeArgs
- Type
Unspecified - TYPE_UNSPECIFIED
- No
Reservation - NO_RESERVATIONDo not consume from any allocated capacity.
- Any
Reservation - ANY_RESERVATIONConsume any reservation available.
- Specific
Reservation - SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.
- Reservation
Affinity Consume Reservation Type Type Unspecified - TYPE_UNSPECIFIED
- Reservation
Affinity Consume Reservation Type No Reservation - NO_RESERVATIONDo not consume from any allocated capacity.
- Reservation
Affinity Consume Reservation Type Any Reservation - ANY_RESERVATIONConsume any reservation available.
- Reservation
Affinity Consume Reservation Type Specific Reservation - SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.
- Type
Unspecified - TYPE_UNSPECIFIED
- No
Reservation - NO_RESERVATIONDo not consume from any allocated capacity.
- Any
Reservation - ANY_RESERVATIONConsume any reservation available.
- Specific
Reservation - SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.
- Type
Unspecified - TYPE_UNSPECIFIED
- No
Reservation - NO_RESERVATIONDo not consume from any allocated capacity.
- Any
Reservation - ANY_RESERVATIONConsume any reservation available.
- Specific
Reservation - SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.
- TYPE_UNSPECIFIED
- TYPE_UNSPECIFIED
- NO_RESERVATION
- NO_RESERVATIONDo not consume from any allocated capacity.
- ANY_RESERVATION
- ANY_RESERVATIONConsume any reservation available.
- SPECIFIC_RESERVATION
- SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.
- "TYPE_UNSPECIFIED"
- TYPE_UNSPECIFIED
- "NO_RESERVATION"
- NO_RESERVATIONDo not consume from any allocated capacity.
- "ANY_RESERVATION"
- ANY_RESERVATIONConsume any reservation available.
- "SPECIFIC_RESERVATION"
- SPECIFIC_RESERVATIONMust consume from a specific reservation. Must specify key value fields for specifying the reservations.
ReservationAffinityResponse, ReservationAffinityResponseArgs
- Consume
Reservation stringType - Optional. Type of reservation to consume
- Key string
- Optional. Corresponds to the label key of reservation resource.
- Values List<string>
- Optional. Corresponds to the label values of reservation resource.
- Consume
Reservation stringType - Optional. Type of reservation to consume
- Key string
- Optional. Corresponds to the label key of reservation resource.
- Values []string
- Optional. Corresponds to the label values of reservation resource.
- consume
Reservation StringType - Optional. Type of reservation to consume
- key String
- Optional. Corresponds to the label key of reservation resource.
- values List<String>
- Optional. Corresponds to the label values of reservation resource.
- consume
Reservation stringType - Optional. Type of reservation to consume
- key string
- Optional. Corresponds to the label key of reservation resource.
- values string[]
- Optional. Corresponds to the label values of reservation resource.
- consume_
reservation_ strtype - Optional. Type of reservation to consume
- key str
- Optional. Corresponds to the label key of reservation resource.
- values Sequence[str]
- Optional. Corresponds to the label values of reservation resource.
- consume
Reservation StringType - Optional. Type of reservation to consume
- key String
- Optional. Corresponds to the label key of reservation resource.
- values List<String>
- Optional. Corresponds to the label values of reservation resource.
SecurityConfig, SecurityConfigArgs
- Identity
Config Pulumi.Google Native. Dataproc. V1. Inputs. Identity Config - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- Kerberos
Config Pulumi.Google Native. Dataproc. V1. Inputs. Kerberos Config - Optional. Kerberos related configuration.
- Identity
Config IdentityConfig - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- Kerberos
Config KerberosConfig - Optional. Kerberos related configuration.
- identity
Config IdentityConfig - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- kerberos
Config KerberosConfig - Optional. Kerberos related configuration.
- identity
Config IdentityConfig - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- kerberos
Config KerberosConfig - Optional. Kerberos related configuration.
- identity_
config IdentityConfig - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- kerberos_
config KerberosConfig - Optional. Kerberos related configuration.
- identity
Config Property Map - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- kerberos
Config Property Map - Optional. Kerberos related configuration.
SecurityConfigResponse, SecurityConfigResponseArgs
- Identity
Config Pulumi.Google Native. Dataproc. V1. Inputs. Identity Config Response - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- Kerberos
Config Pulumi.Google Native. Dataproc. V1. Inputs. Kerberos Config Response - Optional. Kerberos related configuration.
- Identity
Config IdentityConfig Response - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- Kerberos
Config KerberosConfig Response - Optional. Kerberos related configuration.
- identity
Config IdentityConfig Response - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- kerberos
Config KerberosConfig Response - Optional. Kerberos related configuration.
- identity
Config IdentityConfig Response - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- kerberos
Config KerberosConfig Response - Optional. Kerberos related configuration.
- identity_
config IdentityConfig Response - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- kerberos_
config KerberosConfig Response - Optional. Kerberos related configuration.
- identity
Config Property Map - Optional. Identity related configuration, including service account based secure multi-tenancy user mappings.
- kerberos
Config Property Map - Optional. Kerberos related configuration.
ShieldedInstanceConfig, ShieldedInstanceConfigArgs
- Enable
Integrity boolMonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- Enable
Secure boolBoot - Optional. Defines whether instances have Secure Boot enabled.
- Enable
Vtpm bool - Optional. Defines whether instances have the vTPM enabled.
- Enable
Integrity boolMonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- Enable
Secure boolBoot - Optional. Defines whether instances have Secure Boot enabled.
- Enable
Vtpm bool - Optional. Defines whether instances have the vTPM enabled.
- enable
Integrity BooleanMonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- enable
Secure BooleanBoot - Optional. Defines whether instances have Secure Boot enabled.
- enable
Vtpm Boolean - Optional. Defines whether instances have the vTPM enabled.
- enable
Integrity booleanMonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- enable
Secure booleanBoot - Optional. Defines whether instances have Secure Boot enabled.
- enable
Vtpm boolean - Optional. Defines whether instances have the vTPM enabled.
- enable_
integrity_ boolmonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- enable_
secure_ boolboot - Optional. Defines whether instances have Secure Boot enabled.
- enable_
vtpm bool - Optional. Defines whether instances have the vTPM enabled.
- enable
Integrity BooleanMonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- enable
Secure BooleanBoot - Optional. Defines whether instances have Secure Boot enabled.
- enable
Vtpm Boolean - Optional. Defines whether instances have the vTPM enabled.
ShieldedInstanceConfigResponse, ShieldedInstanceConfigResponseArgs
- Enable
Integrity boolMonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- Enable
Secure boolBoot - Optional. Defines whether instances have Secure Boot enabled.
- Enable
Vtpm bool - Optional. Defines whether instances have the vTPM enabled.
- Enable
Integrity boolMonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- Enable
Secure boolBoot - Optional. Defines whether instances have Secure Boot enabled.
- Enable
Vtpm bool - Optional. Defines whether instances have the vTPM enabled.
- enable
Integrity BooleanMonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- enable
Secure BooleanBoot - Optional. Defines whether instances have Secure Boot enabled.
- enable
Vtpm Boolean - Optional. Defines whether instances have the vTPM enabled.
- enable
Integrity booleanMonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- enable
Secure booleanBoot - Optional. Defines whether instances have Secure Boot enabled.
- enable
Vtpm boolean - Optional. Defines whether instances have the vTPM enabled.
- enable_
integrity_ boolmonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- enable_
secure_ boolboot - Optional. Defines whether instances have Secure Boot enabled.
- enable_
vtpm bool - Optional. Defines whether instances have the vTPM enabled.
- enable
Integrity BooleanMonitoring - Optional. Defines whether instances have integrity monitoring enabled.
- enable
Secure BooleanBoot - Optional. Defines whether instances have Secure Boot enabled.
- enable
Vtpm Boolean - Optional. Defines whether instances have the vTPM enabled.
SoftwareConfig, SoftwareConfigArgs
- Image
Version string - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- Optional
Components List<Pulumi.Google Native. Dataproc. V1. Software Config Optional Components Item> - Optional. The set of components to activate on the cluster.
- Properties Dictionary<string, string>
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
- Image
Version string - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- Optional
Components []SoftwareConfig Optional Components Item - Optional. The set of components to activate on the cluster.
- Properties map[string]string
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
- image
Version String - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- optional
Components List<SoftwareConfig Optional Components Item> - Optional. The set of components to activate on the cluster.
- properties Map<String,String>
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
- image
Version string - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- optional
Components SoftwareConfig Optional Components Item[] - Optional. The set of components to activate on the cluster.
- properties {[key: string]: string}
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
- image_
version str - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- optional_
components Sequence[SoftwareConfig Optional Components Item] - Optional. The set of components to activate on the cluster.
- properties Mapping[str, str]
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
- image
Version String - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- optional
Components List<"COMPONENT_UNSPECIFIED" | "ANACONDA" | "DOCKER" | "DRUID" | "FLINK" | "HBASE" | "HIVE_WEBHCAT" | "HUDI" | "JUPYTER" | "PRESTO" | "TRINO" | "RANGER" | "SOLR" | "ZEPPELIN" | "ZOOKEEPER"> - Optional. The set of components to activate on the cluster.
- properties Map<String>
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
SoftwareConfigOptionalComponentsItem, SoftwareConfigOptionalComponentsItemArgs
- Component
Unspecified - COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
- Anaconda
- ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
- Docker
- DOCKERDocker
- Druid
- DRUIDThe Druid query engine. (alpha)
- Flink
- FLINKFlink
- Hbase
- HBASEHBase. (beta)
- Hive
Webhcat - HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
- Hudi
- HUDIHudi.
- Jupyter
- JUPYTERThe Jupyter Notebook.
- Presto
- PRESTOThe Presto query engine.
- Trino
- TRINOThe Trino query engine.
- Ranger
- RANGERThe Ranger service.
- Solr
- SOLRThe Solr service.
- Zeppelin
- ZEPPELINThe Zeppelin notebook.
- Zookeeper
- ZOOKEEPERThe Zookeeper service.
- Software
Config Optional Components Item Component Unspecified - COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
- Software
Config Optional Components Item Anaconda - ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
- Software
Config Optional Components Item Docker - DOCKERDocker
- Software
Config Optional Components Item Druid - DRUIDThe Druid query engine. (alpha)
- Software
Config Optional Components Item Flink - FLINKFlink
- Software
Config Optional Components Item Hbase - HBASEHBase. (beta)
- Software
Config Optional Components Item Hive Webhcat - HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
- Software
Config Optional Components Item Hudi - HUDIHudi.
- Software
Config Optional Components Item Jupyter - JUPYTERThe Jupyter Notebook.
- Software
Config Optional Components Item Presto - PRESTOThe Presto query engine.
- Software
Config Optional Components Item Trino - TRINOThe Trino query engine.
- Software
Config Optional Components Item Ranger - RANGERThe Ranger service.
- Software
Config Optional Components Item Solr - SOLRThe Solr service.
- Software
Config Optional Components Item Zeppelin - ZEPPELINThe Zeppelin notebook.
- Software
Config Optional Components Item Zookeeper - ZOOKEEPERThe Zookeeper service.
- Component
Unspecified - COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
- Anaconda
- ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
- Docker
- DOCKERDocker
- Druid
- DRUIDThe Druid query engine. (alpha)
- Flink
- FLINKFlink
- Hbase
- HBASEHBase. (beta)
- Hive
Webhcat - HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
- Hudi
- HUDIHudi.
- Jupyter
- JUPYTERThe Jupyter Notebook.
- Presto
- PRESTOThe Presto query engine.
- Trino
- TRINOThe Trino query engine.
- Ranger
- RANGERThe Ranger service.
- Solr
- SOLRThe Solr service.
- Zeppelin
- ZEPPELINThe Zeppelin notebook.
- Zookeeper
- ZOOKEEPERThe Zookeeper service.
- Component
Unspecified - COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
- Anaconda
- ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
- Docker
- DOCKERDocker
- Druid
- DRUIDThe Druid query engine. (alpha)
- Flink
- FLINKFlink
- Hbase
- HBASEHBase. (beta)
- Hive
Webhcat - HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
- Hudi
- HUDIHudi.
- Jupyter
- JUPYTERThe Jupyter Notebook.
- Presto
- PRESTOThe Presto query engine.
- Trino
- TRINOThe Trino query engine.
- Ranger
- RANGERThe Ranger service.
- Solr
- SOLRThe Solr service.
- Zeppelin
- ZEPPELINThe Zeppelin notebook.
- Zookeeper
- ZOOKEEPERThe Zookeeper service.
- COMPONENT_UNSPECIFIED
- COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
- ANACONDA
- ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
- DOCKER
- DOCKERDocker
- DRUID
- DRUIDThe Druid query engine. (alpha)
- FLINK
- FLINKFlink
- HBASE
- HBASEHBase. (beta)
- HIVE_WEBHCAT
- HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
- HUDI
- HUDIHudi.
- JUPYTER
- JUPYTERThe Jupyter Notebook.
- PRESTO
- PRESTOThe Presto query engine.
- TRINO
- TRINOThe Trino query engine.
- RANGER
- RANGERThe Ranger service.
- SOLR
- SOLRThe Solr service.
- ZEPPELIN
- ZEPPELINThe Zeppelin notebook.
- ZOOKEEPER
- ZOOKEEPERThe Zookeeper service.
- "COMPONENT_UNSPECIFIED"
- COMPONENT_UNSPECIFIEDUnspecified component. Specifying this will cause Cluster creation to fail.
- "ANACONDA"
- ANACONDAThe Anaconda python distribution. The Anaconda component is not supported in the Dataproc 2.0 image. The 2.0 image is pre-installed with Miniconda.
- "DOCKER"
- DOCKERDocker
- "DRUID"
- DRUIDThe Druid query engine. (alpha)
- "FLINK"
- FLINKFlink
- "HBASE"
- HBASEHBase. (beta)
- "HIVE_WEBHCAT"
- HIVE_WEBHCATThe Hive Web HCatalog (the REST service for accessing HCatalog).
- "HUDI"
- HUDIHudi.
- "JUPYTER"
- JUPYTERThe Jupyter Notebook.
- "PRESTO"
- PRESTOThe Presto query engine.
- "TRINO"
- TRINOThe Trino query engine.
- "RANGER"
- RANGERThe Ranger service.
- "SOLR"
- SOLRThe Solr service.
- "ZEPPELIN"
- ZEPPELINThe Zeppelin notebook.
- "ZOOKEEPER"
- ZOOKEEPERThe Zookeeper service.
SoftwareConfigResponse, SoftwareConfigResponseArgs
- Image
Version string - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- Optional
Components List<string> - Optional. The set of components to activate on the cluster.
- Properties Dictionary<string, string>
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
- Image
Version string - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- Optional
Components []string - Optional. The set of components to activate on the cluster.
- Properties map[string]string
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
- image
Version String - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- optional
Components List<String> - Optional. The set of components to activate on the cluster.
- properties Map<String,String>
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
- image
Version string - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- optional
Components string[] - Optional. The set of components to activate on the cluster.
- properties {[key: string]: string}
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
- image_
version str - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- optional_
components Sequence[str] - Optional. The set of components to activate on the cluster.
- properties Mapping[str, str]
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
- image
Version String - Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
- optional
Components List<String> - Optional. The set of components to activate on the cluster.
- properties Map<String>
- Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
SparkJob, SparkJobArgs
- Archive
Uris List<string> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args List<string>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris List<string> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- Archive
Uris []string - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args []string
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris []string - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Jar
File []stringUris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- Logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- main
Jar StringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive
Uris string[] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args string[]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris string[] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File string[]Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive_
uris Sequence[str] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args Sequence[str]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file_
uris Sequence[str] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- logging_
config LoggingConfig - Optional. The runtime log config for job execution.
- main_
class str - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- main_
jar_ strfile_ uri - The HCFS URI of the jar file that contains the main class.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- main
Jar StringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
SparkJobResponse, SparkJobResponseArgs
- Archive
Uris List<string> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args List<string>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris List<string> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config Response - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- Archive
Uris []string - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args []string
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris []string - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Jar
File []stringUris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- Logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- Main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- Main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- main
Jar StringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive
Uris string[] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args string[]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris string[] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File string[]Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- main
Class string - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- main
Jar stringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive_
uris Sequence[str] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args Sequence[str]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file_
uris Sequence[str] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- logging_
config LoggingConfig Response - Optional. The runtime log config for job execution.
- main_
class str - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- main_
jar_ strfile_ uri - The HCFS URI of the jar file that contains the main class.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- main
Class String - The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.
- main
Jar StringFile Uri - The HCFS URI of the jar file that contains the main class.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
SparkRJob, SparkRJobArgs
- Main
RFile stringUri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- Archive
Uris List<string> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args List<string>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris List<string> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config - Optional. The runtime log config for job execution.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- Main
RFile stringUri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- Archive
Uris []string - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args []string
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris []string - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- main
RFile StringUri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- main
RFile stringUri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- archive
Uris string[] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args string[]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris string[] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- main_
r_ strfile_ uri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- archive_
uris Sequence[str] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args Sequence[str]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file_
uris Sequence[str] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- logging_
config LoggingConfig - Optional. The runtime log config for job execution.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- main
RFile StringUri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
SparkRJobResponse, SparkRJobResponseArgs
- Archive
Uris List<string> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args List<string>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris List<string> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config Response - Optional. The runtime log config for job execution.
- Main
RFile stringUri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- Archive
Uris []string - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- Args []string
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- File
Uris []string - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- Logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- Main
RFile stringUri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- main
RFile StringUri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive
Uris string[] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args string[]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris string[] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- main
RFile stringUri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive_
uris Sequence[str] - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args Sequence[str]
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file_
uris Sequence[str] - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- logging_
config LoggingConfig Response - Optional. The runtime log config for job execution.
- main_
r_ strfile_ uri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
- archive
Uris List<String> - Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
- args List<String>
- Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
- file
Uris List<String> - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- main
RFile StringUri - The HCFS URI of the main R file to use as the driver. Must be a .R file.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
SparkSqlJob, SparkSqlJobArgs
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config - Optional. The runtime log config for job execution.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List Pulumi.Google Native. Dataproc. V1. Inputs. Query List - A list of queries.
- Script
Variables Dictionary<string, string> - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
- Jar
File []stringUris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- Logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List QueryList - A list of queries.
- Script
Variables map[string]string - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList - A list of queries.
- script
Variables Map<String,String> - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
- jar
File string[]Uris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- query
File stringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList - A list of queries.
- script
Variables {[key: string]: string} - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- logging_
config LoggingConfig - Optional. The runtime log config for job execution.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- query_
file_ struri - The HCFS URI of the script that contains SQL queries.
- query_
list QueryList - A list of queries.
- script_
variables Mapping[str, str] - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List Property Map - A list of queries.
- script
Variables Map<String> - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
SparkSqlJobResponse, SparkSqlJobResponseArgs
- Jar
File List<string>Uris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config Response - Optional. The runtime log config for job execution.
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List Pulumi.Google Native. Dataproc. V1. Inputs. Query List Response - A list of queries.
- Script
Variables Dictionary<string, string> - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
- Jar
File []stringUris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- Logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- Properties map[string]string
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List QueryList Response - A list of queries.
- Script
Variables map[string]string - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- properties Map<String,String>
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList Response - A list of queries.
- script
Variables Map<String,String> - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
- jar
File string[]Uris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- properties {[key: string]: string}
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- query
File stringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList Response - A list of queries.
- script
Variables {[key: string]: string} - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
- jar_
file_ Sequence[str]uris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- logging_
config LoggingConfig Response - Optional. The runtime log config for job execution.
- properties Mapping[str, str]
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- query_
file_ struri - The HCFS URI of the script that contains SQL queries.
- query_
list QueryList Response - A list of queries.
- script_
variables Mapping[str, str] - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
- jar
File List<String>Uris - Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- properties Map<String>
- Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API might be overwritten.
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List Property Map - A list of queries.
- script
Variables Map<String> - Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).
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).
TemplateParameter, TemplateParameterArgs
- Fields List<string>
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- Name string
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- Description string
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- Validation
Pulumi.
Google Native. Dataproc. V1. Inputs. Parameter Validation - Optional. Validation rules to be applied to this parameter's value.
- Fields []string
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- Name string
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- Description string
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- Validation
Parameter
Validation - Optional. Validation rules to be applied to this parameter's value.
- fields List<String>
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- name String
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- description String
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- validation
Parameter
Validation - Optional. Validation rules to be applied to this parameter's value.
- fields string[]
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- name string
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- description string
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- validation
Parameter
Validation - Optional. Validation rules to be applied to this parameter's value.
- fields Sequence[str]
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- name str
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- description str
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- validation
Parameter
Validation - Optional. Validation rules to be applied to this parameter's value.
- fields List<String>
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- name String
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- description String
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- validation Property Map
- Optional. Validation rules to be applied to this parameter's value.
TemplateParameterResponse, TemplateParameterResponseArgs
- Description string
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- Fields List<string>
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- Name string
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- Validation
Pulumi.
Google Native. Dataproc. V1. Inputs. Parameter Validation Response - Optional. Validation rules to be applied to this parameter's value.
- Description string
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- Fields []string
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- Name string
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- Validation
Parameter
Validation Response - Optional. Validation rules to be applied to this parameter's value.
- description String
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- fields List<String>
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- name String
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- validation
Parameter
Validation Response - Optional. Validation rules to be applied to this parameter's value.
- description string
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- fields string[]
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- name string
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- validation
Parameter
Validation Response - Optional. Validation rules to be applied to this parameter's value.
- description str
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- fields Sequence[str]
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- name str
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- validation
Parameter
Validation Response - Optional. Validation rules to be applied to this parameter's value.
- description String
- Optional. Brief description of the parameter. Must not exceed 1024 characters.
- fields List<String>
- Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.Also, field paths can reference fields using the following syntax: Values in maps can be referenced by key: labels'key' placement.clusterSelector.clusterLabels'key' placement.managedCluster.labels'key' placement.clusterSelector.clusterLabels'key' jobs'step-id'.labels'key' Jobs in the jobs list can be referenced by step-id: jobs'step-id'.hadoopJob.mainJarFileUri jobs'step-id'.hiveJob.queryFileUri jobs'step-id'.pySparkJob.mainPythonFileUri jobs'step-id'.hadoopJob.jarFileUris0 jobs'step-id'.hadoopJob.archiveUris0 jobs'step-id'.hadoopJob.fileUris0 jobs'step-id'.pySparkJob.pythonFileUris0 Items in repeated fields can be referenced by a zero-based index: jobs'step-id'.sparkJob.args0 Other examples: jobs'step-id'.hadoopJob.properties'key' jobs'step-id'.hadoopJob.args0 jobs'step-id'.hiveJob.scriptVariables'key' jobs'step-id'.hadoopJob.mainJarFileUri placement.clusterSelector.zoneIt may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid: placement.clusterSelector.clusterLabels jobs'step-id'.sparkJob.args
- name String
- Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.
- validation Property Map
- Optional. Validation rules to be applied to this parameter's value.
TrinoJob, TrinoJobArgs
- List<string>
- Optional. Trino client tags to attach to this query
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config - Optional. The runtime log config for job execution.
- Output
Format string - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List Pulumi.Google Native. Dataproc. V1. Inputs. Query List - A list of queries.
- []string
- Optional. Trino client tags to attach to this query
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- Output
Format string - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- Properties map[string]string
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List QueryList - A list of queries.
- List<String>
- Optional. Trino client tags to attach to this query
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- output
Format String - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- properties Map<String,String>
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList - A list of queries.
- string[]
- Optional. Trino client tags to attach to this query
- continue
On booleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config LoggingConfig - Optional. The runtime log config for job execution.
- output
Format string - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- properties {[key: string]: string}
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- query
File stringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList - A list of queries.
- Sequence[str]
- Optional. Trino client tags to attach to this query
- continue_
on_ boolfailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging_
config LoggingConfig - Optional. The runtime log config for job execution.
- output_
format str - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- properties Mapping[str, str]
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- query_
file_ struri - The HCFS URI of the script that contains SQL queries.
- query_
list QueryList - A list of queries.
- List<String>
- Optional. Trino client tags to attach to this query
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- output
Format String - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- properties Map<String>
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List Property Map - A list of queries.
TrinoJobResponse, TrinoJobResponseArgs
- List<string>
- Optional. Trino client tags to attach to this query
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Logging
Config Pulumi.Google Native. Dataproc. V1. Inputs. Logging Config Response - Optional. The runtime log config for job execution.
- Output
Format string - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- Properties Dictionary<string, string>
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List Pulumi.Google Native. Dataproc. V1. Inputs. Query List Response - A list of queries.
- []string
- Optional. Trino client tags to attach to this query
- Continue
On boolFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- Logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- Output
Format string - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- Properties map[string]string
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- Query
File stringUri - The HCFS URI of the script that contains SQL queries.
- Query
List QueryList Response - A list of queries.
- List<String>
- Optional. Trino client tags to attach to this query
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- output
Format String - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- properties Map<String,String>
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList Response - A list of queries.
- string[]
- Optional. Trino client tags to attach to this query
- continue
On booleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config LoggingConfig Response - Optional. The runtime log config for job execution.
- output
Format string - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- properties {[key: string]: string}
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- query
File stringUri - The HCFS URI of the script that contains SQL queries.
- query
List QueryList Response - A list of queries.
- Sequence[str]
- Optional. Trino client tags to attach to this query
- continue_
on_ boolfailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging_
config LoggingConfig Response - Optional. The runtime log config for job execution.
- output_
format str - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- properties Mapping[str, str]
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- query_
file_ struri - The HCFS URI of the script that contains SQL queries.
- query_
list QueryList Response - A list of queries.
- List<String>
- Optional. Trino client tags to attach to this query
- continue
On BooleanFailure - Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.
- logging
Config Property Map - Optional. The runtime log config for job execution.
- output
Format String - Optional. The format in which query output will be displayed. See the Trino documentation for supported output formats
- properties Map<String>
- Optional. A mapping of property names to values. Used to set Trino session properties (https://trino.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Trino CLI
- query
File StringUri - The HCFS URI of the script that contains SQL queries.
- query
List Property Map - A list of queries.
ValueValidation, ValueValidationArgs
- Values List<string>
- List of allowed values for the parameter.
- Values []string
- List of allowed values for the parameter.
- values List<String>
- List of allowed values for the parameter.
- values string[]
- List of allowed values for the parameter.
- values Sequence[str]
- List of allowed values for the parameter.
- values List<String>
- List of allowed values for the parameter.
ValueValidationResponse, ValueValidationResponseArgs
- Values List<string>
- List of allowed values for the parameter.
- Values []string
- List of allowed values for the parameter.
- values List<String>
- List of allowed values for the parameter.
- values string[]
- List of allowed values for the parameter.
- values Sequence[str]
- List of allowed values for the parameter.
- values List<String>
- List of allowed values for the parameter.
WorkflowTemplatePlacement, WorkflowTemplatePlacementArgs
- Cluster
Selector Pulumi.Google Native. Dataproc. V1. Inputs. Cluster Selector - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- Managed
Cluster Pulumi.Google Native. Dataproc. V1. Inputs. Managed Cluster - A cluster that is managed by the workflow.
- Cluster
Selector ClusterSelector - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- Managed
Cluster ManagedCluster - A cluster that is managed by the workflow.
- cluster
Selector ClusterSelector - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- managed
Cluster ManagedCluster - A cluster that is managed by the workflow.
- cluster
Selector ClusterSelector - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- managed
Cluster ManagedCluster - A cluster that is managed by the workflow.
- cluster_
selector ClusterSelector - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- managed_
cluster ManagedCluster - A cluster that is managed by the workflow.
- cluster
Selector Property Map - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- managed
Cluster Property Map - A cluster that is managed by the workflow.
WorkflowTemplatePlacementResponse, WorkflowTemplatePlacementResponseArgs
- Cluster
Selector Pulumi.Google Native. Dataproc. V1. Inputs. Cluster Selector Response - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- Managed
Cluster Pulumi.Google Native. Dataproc. V1. Inputs. Managed Cluster Response - A cluster that is managed by the workflow.
- Cluster
Selector ClusterSelector Response - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- Managed
Cluster ManagedCluster Response - A cluster that is managed by the workflow.
- cluster
Selector ClusterSelector Response - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- managed
Cluster ManagedCluster Response - A cluster that is managed by the workflow.
- cluster
Selector ClusterSelector Response - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- managed
Cluster ManagedCluster Response - A cluster that is managed by the workflow.
- cluster_
selector ClusterSelector Response - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- managed_
cluster ManagedCluster Response - A cluster that is managed by the workflow.
- cluster
Selector Property Map - Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.
- managed
Cluster Property Map - A cluster that is managed by the workflow.
Package Details
- Repository
- Google Cloud Native pulumi/pulumi-google-native
- License
- Apache-2.0
Google Cloud Native is in preview. Google Cloud Classic is fully supported.
Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi