Google Native

Pulumi Official
Package maintained by Pulumi
v0.20.0 published on Monday, Jun 6, 2022 by Pulumi

getWorkflowTemplate

Retrieves the latest workflow template.Can retrieve previously instantiated template by specifying optional version parameter.

Using getWorkflowTemplate

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

function getWorkflowTemplate(args: GetWorkflowTemplateArgs, opts?: InvokeOptions): Promise<GetWorkflowTemplateResult>
function getWorkflowTemplateOutput(args: GetWorkflowTemplateOutputArgs, opts?: InvokeOptions): Output<GetWorkflowTemplateResult>
def get_workflow_template(location: Optional[str] = None,
                          project: Optional[str] = None,
                          version: Optional[str] = None,
                          workflow_template_id: Optional[str] = None,
                          opts: Optional[InvokeOptions] = None) -> GetWorkflowTemplateResult
def get_workflow_template_output(location: Optional[pulumi.Input[str]] = None,
                          project: Optional[pulumi.Input[str]] = None,
                          version: Optional[pulumi.Input[str]] = None,
                          workflow_template_id: Optional[pulumi.Input[str]] = None,
                          opts: Optional[InvokeOptions] = None) -> Output[GetWorkflowTemplateResult]
func LookupWorkflowTemplate(ctx *Context, args *LookupWorkflowTemplateArgs, opts ...InvokeOption) (*LookupWorkflowTemplateResult, error)
func LookupWorkflowTemplateOutput(ctx *Context, args *LookupWorkflowTemplateOutputArgs, opts ...InvokeOption) LookupWorkflowTemplateResultOutput

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

public static class GetWorkflowTemplate 
{
    public static Task<GetWorkflowTemplateResult> InvokeAsync(GetWorkflowTemplateArgs args, InvokeOptions? opts = null)
    public static Output<GetWorkflowTemplateResult> Invoke(GetWorkflowTemplateInvokeArgs args, InvokeOptions? opts = null)
}
public static CompletableFuture<GetWorkflowTemplateResult> getWorkflowTemplate(GetWorkflowTemplateArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet
Fn::Invoke:
  Function: google-native:dataproc/v1beta2:getWorkflowTemplate
  Arguments:
    # Arguments dictionary

The following arguments are supported:

Location string
WorkflowTemplateId string
Project string
Version string
Location string
WorkflowTemplateId string
Project string
Version string
location String
workflowTemplateId String
project String
version String
location string
workflowTemplateId string
project string
version string
location String
workflowTemplateId String
project String
version String

getWorkflowTemplate Result

The following output properties are available:

CreateTime string

The time template was created.

DagTimeout 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.

Jobs List<Pulumi.GoogleNative.Dataproc.V1Beta2.Outputs.OrderedJobResponse>

The Directed Acyclic Graph of Jobs to submit.

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.

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}

Parameters List<Pulumi.GoogleNative.Dataproc.V1Beta2.Outputs.TemplateParameterResponse>

Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.

Placement Pulumi.GoogleNative.Dataproc.V1Beta2.Outputs.WorkflowTemplatePlacementResponse

WorkflowTemplate scheduling information.

UpdateTime string

The time template was last updated.

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.

CreateTime string

The time template was created.

DagTimeout 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.

Jobs []OrderedJobResponse

The Directed Acyclic Graph of Jobs to submit.

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.

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}

Parameters []TemplateParameterResponse

Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.

Placement WorkflowTemplatePlacementResponse

WorkflowTemplate scheduling information.

UpdateTime string

The time template was last updated.

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.

createTime String

The time template was created.

dagTimeout 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.

jobs List<OrderedJobResponse>

The Directed Acyclic Graph of Jobs to submit.

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.

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}

parameters List<TemplateParameterResponse>

Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.

placement WorkflowTemplatePlacementResponse

WorkflowTemplate scheduling information.

updateTime String

The time template was last updated.

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.

createTime string

The time template was created.

dagTimeout 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.

jobs OrderedJobResponse[]

The Directed Acyclic Graph of Jobs to submit.

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.

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}

parameters TemplateParameterResponse[]

Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.

placement WorkflowTemplatePlacementResponse

WorkflowTemplate scheduling information.

updateTime string

The time template was last updated.

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.

create_time str

The time template was created.

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.

jobs Sequence[OrderedJobResponse]

The Directed Acyclic Graph of Jobs to submit.

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.

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}

parameters Sequence[TemplateParameterResponse]

Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.

placement WorkflowTemplatePlacementResponse

WorkflowTemplate scheduling information.

update_time str

The time template was last updated.

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.

createTime String

The time template was created.

dagTimeout 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.

jobs List<Property Map>

The Directed Acyclic Graph of Jobs to submit.

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.

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}

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.

placement Property Map

WorkflowTemplate scheduling information.

updateTime String

The time template was last updated.

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.

Supporting Types

AcceleratorConfigResponse

AcceleratorCount int

The number of the accelerator cards of this type exposed to this instance.

AcceleratorTypeUri string

Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/beta/acceleratorTypes)Examples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

AcceleratorCount int

The number of the accelerator cards of this type exposed to this instance.

AcceleratorTypeUri string

Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/beta/acceleratorTypes)Examples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

acceleratorCount Integer

The number of the accelerator cards of this type exposed to this instance.

acceleratorTypeUri String

Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/beta/acceleratorTypes)Examples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

acceleratorCount number

The number of the accelerator cards of this type exposed to this instance.

acceleratorTypeUri string

Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/beta/acceleratorTypes)Examples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

accelerator_count int

The number of the accelerator cards of this type exposed to this instance.

accelerator_type_uri str

Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/beta/acceleratorTypes)Examples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

acceleratorCount Number

The number of the accelerator cards of this type exposed to this instance.

acceleratorTypeUri String

Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes (https://cloud.google.com/compute/docs/reference/beta/acceleratorTypes)Examples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

AutoscalingConfigResponse

PolicyUri string

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

PolicyUri string

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

policyUri String

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

policyUri string

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

policy_uri str

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

policyUri String

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

ClusterConfigResponse

AutoscalingConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.AutoscalingConfigResponse

Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.

ConfigBucket string

Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging bucket (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

EncryptionConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.EncryptionConfigResponse

Optional. Encryption settings for the cluster.

EndpointConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.EndpointConfigResponse

Optional. Port/endpoint configuration for this cluster

GceClusterConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.GceClusterConfigResponse

Optional. The shared Compute Engine config settings for all instances in a cluster.

GkeClusterConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.GkeClusterConfigResponse

Optional. The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. Setting this is considered mutually exclusive with Compute Engine-based options such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.

InitializationActions List<Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.NodeInitializationActionResponse>

Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1beta2/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi

LifecycleConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.LifecycleConfigResponse

Optional. The config setting for auto delete cluster schedule.

MasterConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.InstanceGroupConfigResponse

Optional. The Compute Engine config settings for the master instance in a cluster.

MetastoreConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.MetastoreConfigResponse

Optional. Metastore configuration.

SecondaryWorkerConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.InstanceGroupConfigResponse

Optional. The Compute Engine config settings for additional worker instances in a cluster.

SecurityConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.SecurityConfigResponse

Optional. Security related configuration.

SoftwareConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.SoftwareConfigResponse

Optional. The config settings for software inside the cluster.

TempBucket string

Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket. This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

WorkerConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.InstanceGroupConfigResponse

Optional. The Compute Engine config settings for worker instances in a cluster.

AutoscalingConfig AutoscalingConfigResponse

Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.

ConfigBucket string

Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging bucket (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

EncryptionConfig EncryptionConfigResponse

Optional. Encryption settings for the cluster.

EndpointConfig EndpointConfigResponse

Optional. Port/endpoint configuration for this cluster

GceClusterConfig GceClusterConfigResponse

Optional. The shared Compute Engine config settings for all instances in a cluster.

GkeClusterConfig GkeClusterConfigResponse

Optional. The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. Setting this is considered mutually exclusive with Compute Engine-based options such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.

InitializationActions []NodeInitializationActionResponse

Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1beta2/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi

LifecycleConfig LifecycleConfigResponse

Optional. The config setting for auto delete cluster schedule.

MasterConfig InstanceGroupConfigResponse

Optional. The Compute Engine config settings for the master instance in a cluster.

MetastoreConfig MetastoreConfigResponse

Optional. Metastore configuration.

SecondaryWorkerConfig InstanceGroupConfigResponse

Optional. The Compute Engine config settings for additional worker instances in a cluster.

SecurityConfig SecurityConfigResponse

Optional. Security related configuration.

SoftwareConfig SoftwareConfigResponse

Optional. The config settings for software inside the cluster.

TempBucket string

Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket. This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

WorkerConfig InstanceGroupConfigResponse

Optional. The Compute Engine config settings for worker instances in a cluster.

autoscalingConfig AutoscalingConfigResponse

Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.

configBucket String

Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging bucket (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

encryptionConfig EncryptionConfigResponse

Optional. Encryption settings for the cluster.

endpointConfig EndpointConfigResponse

Optional. Port/endpoint configuration for this cluster

gceClusterConfig GceClusterConfigResponse

Optional. The shared Compute Engine config settings for all instances in a cluster.

gkeClusterConfig GkeClusterConfigResponse

Optional. The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. Setting this is considered mutually exclusive with Compute Engine-based options such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.

initializationActions List<NodeInitializationActionResponse>

Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1beta2/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi

lifecycleConfig LifecycleConfigResponse

Optional. The config setting for auto delete cluster schedule.

masterConfig InstanceGroupConfigResponse

Optional. The Compute Engine config settings for the master instance in a cluster.

metastoreConfig MetastoreConfigResponse

Optional. Metastore configuration.

secondaryWorkerConfig InstanceGroupConfigResponse

Optional. The Compute Engine config settings for additional worker instances in a cluster.

securityConfig SecurityConfigResponse

Optional. Security related configuration.

softwareConfig SoftwareConfigResponse

Optional. The config settings for software inside the cluster.

tempBucket String

Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket. This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

workerConfig InstanceGroupConfigResponse

Optional. The Compute Engine config settings for worker instances in a cluster.

autoscalingConfig AutoscalingConfigResponse

Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.

configBucket string

Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging bucket (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

encryptionConfig EncryptionConfigResponse

Optional. Encryption settings for the cluster.

endpointConfig EndpointConfigResponse

Optional. Port/endpoint configuration for this cluster

gceClusterConfig GceClusterConfigResponse

Optional. The shared Compute Engine config settings for all instances in a cluster.

gkeClusterConfig GkeClusterConfigResponse

Optional. The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. Setting this is considered mutually exclusive with Compute Engine-based options such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.

initializationActions NodeInitializationActionResponse[]

Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1beta2/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi

lifecycleConfig LifecycleConfigResponse

Optional. The config setting for auto delete cluster schedule.

masterConfig InstanceGroupConfigResponse

Optional. The Compute Engine config settings for the master instance in a cluster.

metastoreConfig MetastoreConfigResponse

Optional. Metastore configuration.

secondaryWorkerConfig InstanceGroupConfigResponse

Optional. The Compute Engine config settings for additional worker instances in a cluster.

securityConfig SecurityConfigResponse

Optional. Security related configuration.

softwareConfig SoftwareConfigResponse

Optional. The config settings for software inside the cluster.

tempBucket string

Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket. This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

workerConfig InstanceGroupConfigResponse

Optional. The Compute Engine config settings for worker instances in a cluster.

autoscaling_config AutoscalingConfigResponse

Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.

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 bucket (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

encryption_config EncryptionConfigResponse

Optional. Encryption settings for the cluster.

endpoint_config EndpointConfigResponse

Optional. Port/endpoint configuration for this cluster

gce_cluster_config GceClusterConfigResponse

Optional. The shared Compute Engine config settings for all instances in a cluster.

gke_cluster_config GkeClusterConfigResponse

Optional. The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. Setting this is considered mutually exclusive with Compute Engine-based options such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.

initialization_actions Sequence[NodeInitializationActionResponse]

Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1beta2/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi

lifecycle_config LifecycleConfigResponse

Optional. The config setting for auto delete cluster schedule.

master_config InstanceGroupConfigResponse

Optional. The Compute Engine config settings for the master instance in a cluster.

metastore_config MetastoreConfigResponse

Optional. Metastore configuration.

secondary_worker_config InstanceGroupConfigResponse

Optional. The Compute Engine config settings for additional worker instances in a cluster.

security_config SecurityConfigResponse

Optional. Security related configuration.

software_config SoftwareConfigResponse

Optional. The config settings for software inside the cluster.

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. This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

worker_config InstanceGroupConfigResponse

Optional. The Compute Engine config settings for worker instances in a cluster.

autoscalingConfig Property Map

Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.

configBucket String

Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging bucket (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

encryptionConfig Property Map

Optional. Encryption settings for the cluster.

endpointConfig Property Map

Optional. Port/endpoint configuration for this cluster

gceClusterConfig Property Map

Optional. The shared Compute Engine config settings for all instances in a cluster.

gkeClusterConfig Property Map

Optional. The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. Setting this is considered mutually exclusive with Compute Engine-based options such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.

initializationActions List<Property Map>

Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1beta2/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi

lifecycleConfig Property Map

Optional. The config setting for auto delete cluster schedule.

masterConfig Property Map

Optional. The Compute Engine config settings for the master instance in a cluster.

metastoreConfig Property Map

Optional. Metastore configuration.

secondaryWorkerConfig Property Map

Optional. The Compute Engine config settings for additional worker instances in a cluster.

securityConfig Property Map

Optional. Security related configuration.

softwareConfig Property Map

Optional. The config settings for software inside the cluster.

tempBucket String

Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket. This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.

workerConfig Property Map

Optional. The Compute Engine config settings for worker instances in a cluster.

ClusterSelectorResponse

ClusterLabels 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.

ClusterLabels 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.

clusterLabels 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.

clusterLabels {[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.

clusterLabels 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.

DiskConfigResponse

BootDiskSizeGb int

Optional. Size in GB of the boot disk (default is 500GB).

BootDiskType string

Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).

NumLocalSsds int

Number of attached SSDs, from 0 to 4 (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.

BootDiskSizeGb int

Optional. Size in GB of the boot disk (default is 500GB).

BootDiskType string

Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).

NumLocalSsds int

Number of attached SSDs, from 0 to 4 (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.

bootDiskSizeGb Integer

Optional. Size in GB of the boot disk (default is 500GB).

bootDiskType String

Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).

numLocalSsds Integer

Number of attached SSDs, from 0 to 4 (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.

bootDiskSizeGb number

Optional. Size in GB of the boot disk (default is 500GB).

bootDiskType string

Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).

numLocalSsds number

Number of attached SSDs, from 0 to 4 (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.

boot_disk_size_gb int

Optional. Size in GB of the boot disk (default is 500GB).

boot_disk_type str

Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).

num_local_ssds int

Number of attached SSDs, from 0 to 4 (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.

bootDiskSizeGb Number

Optional. Size in GB of the boot disk (default is 500GB).

bootDiskType String

Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See Disk types (https://cloud.google.com/compute/docs/disks#disk-types).

numLocalSsds Number

Number of attached SSDs, from 0 to 4 (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.

EncryptionConfigResponse

GcePdKmsKeyName string

Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.

GcePdKmsKeyName string

Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.

gcePdKmsKeyName String

Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.

gcePdKmsKeyName string

Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.

gce_pd_kms_key_name str

Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.

gcePdKmsKeyName String

Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.

EndpointConfigResponse

EnableHttpPortAccess bool

Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.

HttpPorts Dictionary<string, string>

The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

EnableHttpPortAccess bool

Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.

HttpPorts map[string]string

The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

enableHttpPortAccess Boolean

Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.

httpPorts Map<String,String>

The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

enableHttpPortAccess boolean

Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.

httpPorts {[key: string]: string}

The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

enable_http_port_access bool

Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.

http_ports Mapping[str, str]

The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

enableHttpPortAccess Boolean

Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.

httpPorts Map<String>

The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

GceClusterConfigResponse

InternalIpOnly bool

Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.

Metadata Dictionary<string, string>

The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).

NetworkUri string

Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default projects/[project_id]/regions/global/default default

NodeGroupAffinity Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.NodeGroupAffinityResponse

Optional. Node Group Affinity for sole-tenant clusters.

PrivateIpv6GoogleAccess string

Optional. The type of IPv6 access for a cluster.

ReservationAffinity Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.ReservationAffinityResponse

Optional. Reservation Affinity for consuming Zonal reservation.

ServiceAccount string

Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.

ServiceAccountScopes List<string>

Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control

ShieldedInstanceConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.ShieldedInstanceConfigResponse

Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).

SubnetworkUri string

Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-east1/subnetworks/sub0 projects/[project_id]/regions/us-east1/subnetworks/sub0 sub0

Tags List<string>

The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).

ZoneUri string

Optional. The zone where the Compute Engine cluster will be located. On a create request, it is required in the "global" region. If omitted in a non-global Dataproc region, the service will pick a zone in the corresponding 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] us-central1-f

InternalIpOnly bool

Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.

Metadata map[string]string

The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).

NetworkUri string

Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default projects/[project_id]/regions/global/default default

NodeGroupAffinity NodeGroupAffinityResponse

Optional. Node Group Affinity for sole-tenant clusters.

PrivateIpv6GoogleAccess string

Optional. The type of IPv6 access for a cluster.

ReservationAffinity ReservationAffinityResponse

Optional. Reservation Affinity for consuming Zonal reservation.

ServiceAccount string

Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.

ServiceAccountScopes []string

Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control

ShieldedInstanceConfig ShieldedInstanceConfigResponse

Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).

SubnetworkUri string

Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-east1/subnetworks/sub0 projects/[project_id]/regions/us-east1/subnetworks/sub0 sub0

Tags []string

The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).

ZoneUri string

Optional. The zone where the Compute Engine cluster will be located. On a create request, it is required in the "global" region. If omitted in a non-global Dataproc region, the service will pick a zone in the corresponding 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] us-central1-f

internalIpOnly Boolean

Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.

metadata Map<String,String>

The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).

networkUri String

Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default projects/[project_id]/regions/global/default default

nodeGroupAffinity NodeGroupAffinityResponse

Optional. Node Group Affinity for sole-tenant clusters.

privateIpv6GoogleAccess String

Optional. The type of IPv6 access for a cluster.

reservationAffinity ReservationAffinityResponse

Optional. Reservation Affinity for consuming Zonal reservation.

serviceAccount String

Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.

serviceAccountScopes List<String>

Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control

shieldedInstanceConfig ShieldedInstanceConfigResponse

Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).

subnetworkUri String

Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-east1/subnetworks/sub0 projects/[project_id]/regions/us-east1/subnetworks/sub0 sub0

tags List<String>

The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).

zoneUri String

Optional. The zone where the Compute Engine cluster will be located. On a create request, it is required in the "global" region. If omitted in a non-global Dataproc region, the service will pick a zone in the corresponding 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] us-central1-f

internalIpOnly boolean

Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.

metadata {[key: string]: string}

The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).

networkUri string

Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default projects/[project_id]/regions/global/default default

nodeGroupAffinity NodeGroupAffinityResponse

Optional. Node Group Affinity for sole-tenant clusters.

privateIpv6GoogleAccess string

Optional. The type of IPv6 access for a cluster.

reservationAffinity ReservationAffinityResponse

Optional. Reservation Affinity for consuming Zonal reservation.

serviceAccount string

Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.

serviceAccountScopes string[]

Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control

shieldedInstanceConfig ShieldedInstanceConfigResponse

Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).

subnetworkUri string

Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-east1/subnetworks/sub0 projects/[project_id]/regions/us-east1/subnetworks/sub0 sub0

tags string[]

The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).

zoneUri string

Optional. The zone where the Compute Engine cluster will be located. On a create request, it is required in the "global" region. If omitted in a non-global Dataproc region, the service will pick a zone in the corresponding 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] us-central1-f

internal_ip_only bool

Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.

metadata Mapping[str, str]

The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).

network_uri str

Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default projects/[project_id]/regions/global/default default

node_group_affinity NodeGroupAffinityResponse

Optional. Node Group Affinity for sole-tenant clusters.

private_ipv6_google_access str

Optional. The type of IPv6 access for a cluster.

reservation_affinity ReservationAffinityResponse

Optional. Reservation Affinity for consuming Zonal reservation.

service_account str

Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.

service_account_scopes Sequence[str]

Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control

shielded_instance_config ShieldedInstanceConfigResponse

Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).

subnetwork_uri str

Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-east1/subnetworks/sub0 projects/[project_id]/regions/us-east1/subnetworks/sub0 sub0

tags Sequence[str]

The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).

zone_uri str

Optional. The zone where the Compute Engine cluster will be located. On a create request, it is required in the "global" region. If omitted in a non-global Dataproc region, the service will pick a zone in the corresponding 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] us-central1-f

internalIpOnly Boolean

Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.

metadata Map<String>

The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).

networkUri String

Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks (https://cloud.google.com/compute/docs/subnetworks) for more information).A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default projects/[project_id]/regions/global/default default

nodeGroupAffinity Property Map

Optional. Node Group Affinity for sole-tenant clusters.

privateIpv6GoogleAccess String

Optional. The type of IPv6 access for a cluster.

reservationAffinity Property Map

Optional. Reservation Affinity for consuming Zonal reservation.

serviceAccount String

Optional. The Dataproc service account (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see VM Data Plane identity (https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services.If not specified, the Compute Engine default service account (https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used.

serviceAccountScopes List<String>

Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included: https://www.googleapis.com/auth/cloud.useraccounts.readonly https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided: https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control

shieldedInstanceConfig Property Map

Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs (https://cloud.google.com/security/shielded-cloud/shielded-vm).

subnetworkUri String

Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-east1/subnetworks/sub0 projects/[project_id]/regions/us-east1/subnetworks/sub0 sub0

tags List<String>

The Compute Engine tags to add to all instances (see Tagging instances (https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).

zoneUri String

Optional. The zone where the Compute Engine cluster will be located. On a create request, it is required in the "global" region. If omitted in a non-global Dataproc region, the service will pick a zone in the corresponding 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] us-central1-f

GkeClusterConfigResponse

namespacedGkeDeploymentTarget Property Map

Optional. A target for the deployment.

HadoopJobResponse

ArchiveUris 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 may occur that causes an incorrect job submission.

FileUris 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.

JarFileUris List<string>

Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.

LoggingConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.LoggingConfigResponse

Optional. The runtime log config for job execution.

MainClass 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.

MainJarFileUri string

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.

ArchiveUris []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 may occur that causes an incorrect job submission.

FileUris []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.

JarFileUris []string

Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.

LoggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

MainClass 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.

MainJarFileUri string

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.

archiveUris 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 may occur that causes an incorrect job submission.

fileUris 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.

jarFileUris List<String>

Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.

loggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

mainClass 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.

mainJarFileUri String

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.

archiveUris 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 may occur that causes an incorrect job submission.

fileUris 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.

jarFileUris string[]

Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.

loggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

mainClass 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.

mainJarFileUri string

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 may 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 may 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_uris Sequence[str]

Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.

logging_config LoggingConfigResponse

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_file_uri str

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.

archiveUris 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 may occur that causes an incorrect job submission.

fileUris 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.

jarFileUris List<String>

Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.

loggingConfig Property Map

Optional. The runtime log config for job execution.

mainClass 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.

mainJarFileUri String

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.

HiveJobResponse

ContinueOnFailure bool

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.

JarFileUris List<string>

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.

QueryFileUri string

The HCFS URI of the script that contains Hive queries.

QueryList Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.QueryListResponse

A list of queries.

ScriptVariables Dictionary<string, string>

Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

ContinueOnFailure bool

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.

JarFileUris []string

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.

QueryFileUri string

The HCFS URI of the script that contains Hive queries.

QueryList QueryListResponse

A list of queries.

ScriptVariables map[string]string

Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

continueOnFailure Boolean

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.

jarFileUris List<String>

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.

queryFileUri String

The HCFS URI of the script that contains Hive queries.

queryList QueryListResponse

A list of queries.

scriptVariables Map<String,String>

Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

continueOnFailure boolean

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.

jarFileUris string[]

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.

queryFileUri string

The HCFS URI of the script that contains Hive queries.

queryList QueryListResponse

A list of queries.

scriptVariables {[key: string]: string}

Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

continue_on_failure bool

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_uris Sequence[str]

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 may 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_uri str

The HCFS URI of the script that contains Hive queries.

query_list QueryListResponse

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";).

continueOnFailure Boolean

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.

jarFileUris List<String>

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.

queryFileUri String

The HCFS URI of the script that contains Hive queries.

queryList Property Map

A list of queries.

scriptVariables Map<String>

Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

InstanceGroupConfigResponse

Accelerators List<Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.AcceleratorConfigResponse>

Optional. The Compute Engine accelerator configuration for these instances.

DiskConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.DiskConfigResponse

Optional. Disk option config settings.

ImageUri string

Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/beta/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/beta/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.

InstanceNames List<string>

The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.

InstanceReferences List<Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.InstanceReferenceResponse>

List of references to Compute Engine instances.

IsPreemptible bool

Specifies that this instance group contains preemptible instances.

MachineTypeUri string

Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 n1-standard-2Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the machine type resource, for example, n1-standard-2.

ManagedGroupConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.ManagedGroupConfigResponse

The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.

MinCpuPlatform string

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).

NumInstances int

Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.

Preemptibility string

Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.

Accelerators []AcceleratorConfigResponse

Optional. The Compute Engine accelerator configuration for these instances.

DiskConfig DiskConfigResponse

Optional. Disk option config settings.

ImageUri string

Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/beta/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/beta/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.

InstanceNames []string

The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.

InstanceReferences []InstanceReferenceResponse

List of references to Compute Engine instances.

IsPreemptible bool

Specifies that this instance group contains preemptible instances.

MachineTypeUri string

Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 n1-standard-2Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the machine type resource, for example, n1-standard-2.

ManagedGroupConfig ManagedGroupConfigResponse

The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.

MinCpuPlatform string

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).

NumInstances int

Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.

Preemptibility string

Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.

accelerators List<AcceleratorConfigResponse>

Optional. The Compute Engine accelerator configuration for these instances.

diskConfig DiskConfigResponse

Optional. Disk option config settings.

imageUri String

Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/beta/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/beta/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.

instanceNames List<String>

The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.

instanceReferences List<InstanceReferenceResponse>

List of references to Compute Engine instances.

isPreemptible Boolean

Specifies that this instance group contains preemptible instances.

machineTypeUri String

Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 n1-standard-2Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the machine type resource, for example, n1-standard-2.

managedGroupConfig ManagedGroupConfigResponse

The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.

minCpuPlatform String

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).

numInstances Integer

Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.

preemptibility String

Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.

accelerators AcceleratorConfigResponse[]

Optional. The Compute Engine accelerator configuration for these instances.

diskConfig DiskConfigResponse

Optional. Disk option config settings.

imageUri string

Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/beta/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/beta/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.

instanceNames string[]

The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.

instanceReferences InstanceReferenceResponse[]

List of references to Compute Engine instances.

isPreemptible boolean

Specifies that this instance group contains preemptible instances.

machineTypeUri string

Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 n1-standard-2Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the machine type resource, for example, n1-standard-2.

managedGroupConfig ManagedGroupConfigResponse

The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.

minCpuPlatform string

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).

numInstances number

Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.

preemptibility string

Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.

accelerators Sequence[AcceleratorConfigResponse]

Optional. The Compute Engine accelerator configuration for these instances.

disk_config DiskConfigResponse

Optional. Disk option config settings.

image_uri str

Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/beta/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/beta/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_names Sequence[str]

The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.

instance_references Sequence[InstanceReferenceResponse]

List of references to Compute Engine instances.

is_preemptible bool

Specifies that this instance group contains preemptible instances.

machine_type_uri str

Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 n1-standard-2Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the machine type resource, for example, n1-standard-2.

managed_group_config ManagedGroupConfigResponse

The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.

min_cpu_platform str

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).

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.

accelerators List<Property Map>

Optional. The Compute Engine accelerator configuration for these instances.

diskConfig Property Map

Optional. Disk option config settings.

imageUri String

Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/beta/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/beta/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.

instanceNames List<String>

The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.

instanceReferences List<Property Map>

List of references to Compute Engine instances.

isPreemptible Boolean

Specifies that this instance group contains preemptible instances.

machineTypeUri String

Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2 n1-standard-2Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the machine type resource, for example, n1-standard-2.

managedGroupConfig Property Map

The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.

minCpuPlatform String

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).

numInstances Number

Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.

preemptibility String

Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.

InstanceReferenceResponse

InstanceId string

The unique identifier of the Compute Engine instance.

InstanceName string

The user-friendly name of the Compute Engine instance.

PublicKey string

The public key used for sharing data with this instance.

InstanceId string

The unique identifier of the Compute Engine instance.

InstanceName string

The user-friendly name of the Compute Engine instance.

PublicKey string

The public key used for sharing data with this instance.

instanceId String

The unique identifier of the Compute Engine instance.

instanceName String

The user-friendly name of the Compute Engine instance.

publicKey String

The public key used for sharing data with this instance.

instanceId string

The unique identifier of the Compute Engine instance.

instanceName string

The user-friendly name of the Compute Engine instance.

publicKey string

The public 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_key str

The public key used for sharing data with this instance.

instanceId String

The unique identifier of the Compute Engine instance.

instanceName String

The user-friendly name of the Compute Engine instance.

publicKey String

The public key used for sharing data with this instance.

JobSchedulingResponse

MaxFailuresPerHour int

Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.

MaxFailuresTotal int

Optional. Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed. Maximum value is 240.

MaxFailuresPerHour int

Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.

MaxFailuresTotal int

Optional. Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed. Maximum value is 240.

maxFailuresPerHour Integer

Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.

maxFailuresTotal Integer

Optional. Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed. Maximum value is 240.

maxFailuresPerHour number

Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.

maxFailuresTotal number

Optional. Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed. Maximum value is 240.

max_failures_per_hour int

Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.

max_failures_total int

Optional. Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed. Maximum value is 240.

maxFailuresPerHour Number

Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.Maximum value is 10.

maxFailuresTotal Number

Optional. Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed. Maximum value is 240.

KerberosConfigResponse

CrossRealmTrustAdminServer string

Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

CrossRealmTrustKdc string

Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

CrossRealmTrustRealm string

Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.

CrossRealmTrustSharedPasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.

EnableKerberos bool

Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.

KdcDbKeyUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.

KeyPasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.

KeystorePasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.

KeystoreUri string

Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

KmsKeyUri string

Optional. The uri of the KMS key used to encrypt various sensitive files.

Realm string

Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.

RootPrincipalPasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.

TgtLifetimeHours int

Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.

TruststorePasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.

TruststoreUri string

Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

CrossRealmTrustAdminServer string

Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

CrossRealmTrustKdc string

Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

CrossRealmTrustRealm string

Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.

CrossRealmTrustSharedPasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.

EnableKerberos bool

Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.

KdcDbKeyUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.

KeyPasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.

KeystorePasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.

KeystoreUri string

Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

KmsKeyUri string

Optional. The uri of the KMS key used to encrypt various sensitive files.

Realm string

Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.

RootPrincipalPasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.

TgtLifetimeHours int

Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.

TruststorePasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.

TruststoreUri string

Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

crossRealmTrustAdminServer String

Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

crossRealmTrustKdc String

Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

crossRealmTrustRealm String

Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.

crossRealmTrustSharedPasswordUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.

enableKerberos Boolean

Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.

kdcDbKeyUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.

keyPasswordUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.

keystorePasswordUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.

keystoreUri String

Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

kmsKeyUri String

Optional. The uri of the KMS key used to encrypt various sensitive files.

realm String

Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.

rootPrincipalPasswordUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.

tgtLifetimeHours Integer

Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.

truststorePasswordUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.

truststoreUri String

Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

crossRealmTrustAdminServer string

Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

crossRealmTrustKdc string

Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

crossRealmTrustRealm string

Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.

crossRealmTrustSharedPasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.

enableKerberos boolean

Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.

kdcDbKeyUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.

keyPasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.

keystorePasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.

keystoreUri string

Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

kmsKeyUri string

Optional. The uri of the KMS key used to encrypt various sensitive files.

realm string

Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.

rootPrincipalPasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.

tgtLifetimeHours number

Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.

truststorePasswordUri string

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.

truststoreUri string

Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

cross_realm_trust_admin_server str

Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

cross_realm_trust_kdc str

Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

cross_realm_trust_realm str

Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.

cross_realm_trust_shared_password_uri str

Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.

enable_kerberos bool

Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.

kdc_db_key_uri str

Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.

key_password_uri str

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.

keystore_password_uri str

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.

keystore_uri str

Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

kms_key_uri str

Optional. The uri of the KMS key used to encrypt various sensitive files.

realm str

Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.

root_principal_password_uri str

Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.

tgt_lifetime_hours int

Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.

truststore_password_uri str

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.

truststore_uri str

Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

crossRealmTrustAdminServer String

Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

crossRealmTrustKdc String

Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

crossRealmTrustRealm String

Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.

crossRealmTrustSharedPasswordUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.

enableKerberos Boolean

Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.

kdcDbKeyUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.

keyPasswordUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.

keystorePasswordUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.

keystoreUri String

Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

kmsKeyUri String

Optional. The uri of the KMS key used to encrypt various sensitive files.

realm String

Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.

rootPrincipalPasswordUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.

tgtLifetimeHours Number

Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.

truststorePasswordUri String

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.

truststoreUri String

Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

LifecycleConfigResponse

AutoDeleteTime string

Optional. The time when cluster will be auto-deleted. (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

AutoDeleteTtl string

Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

IdleDeleteTtl string

Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

IdleStartTime string

The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

AutoDeleteTime string

Optional. The time when cluster will be auto-deleted. (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

AutoDeleteTtl string

Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

IdleDeleteTtl string

Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

IdleStartTime string

The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

autoDeleteTime String

Optional. The time when cluster will be auto-deleted. (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

autoDeleteTtl String

Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

idleDeleteTtl String

Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

idleStartTime String

The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

autoDeleteTime string

Optional. The time when cluster will be auto-deleted. (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

autoDeleteTtl string

Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

idleDeleteTtl string

Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

idleStartTime string

The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

auto_delete_time str

Optional. The time when cluster will be auto-deleted. (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

auto_delete_ttl str

Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

idle_delete_ttl str

Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

idle_start_time str

The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

autoDeleteTime String

Optional. The time when cluster will be auto-deleted. (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

autoDeleteTtl String

Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

idleDeleteTtl String

Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of Duration (https://developers.google.com/protocol-buffers/docs/proto3#json)).

idleStartTime String

The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of Timestamp (https://developers.google.com/protocol-buffers/docs/proto3#json)).

LoggingConfigResponse

DriverLogLevels Dictionary<string, string>

The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

DriverLogLevels map[string]string

The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

driverLogLevels Map<String,String>

The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

driverLogLevels {[key: string]: string}

The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

driver_log_levels Mapping[str, str]

The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

driverLogLevels Map<String>

The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

ManagedClusterResponse

ClusterName 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.GoogleNative.Dataproc.V1Beta2.Inputs.ClusterConfigResponse

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.

ClusterName 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 ClusterConfigResponse

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.

clusterName 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 ClusterConfigResponse

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.

clusterName 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 ClusterConfigResponse

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 ClusterConfigResponse

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.

clusterName 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

InstanceGroupManagerName string

The name of the Instance Group Manager for this group.

InstanceTemplateName string

The name of the Instance Template used for the Managed Instance Group.

InstanceGroupManagerName string

The name of the Instance Group Manager for this group.

InstanceTemplateName string

The name of the Instance Template used for the Managed Instance Group.

instanceGroupManagerName String

The name of the Instance Group Manager for this group.

instanceTemplateName String

The name of the Instance Template used for the Managed Instance Group.

instanceGroupManagerName string

The name of the Instance Group Manager for this group.

instanceTemplateName string

The name of the Instance Template used for the Managed Instance Group.

instance_group_manager_name str

The name of the Instance Group Manager for this group.

instance_template_name str

The name of the Instance Template used for the Managed Instance Group.

instanceGroupManagerName String

The name of the Instance Group Manager for this group.

instanceTemplateName String

The name of the Instance Template used for the Managed Instance Group.

MetastoreConfigResponse

DataprocMetastoreService string

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

DataprocMetastoreService string

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

dataprocMetastoreService String

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

dataprocMetastoreService string

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

dataproc_metastore_service str

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

dataprocMetastoreService String

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

NamespacedGkeDeploymentTargetResponse

ClusterNamespace string

Optional. A namespace within the GKE cluster to deploy into.

TargetGkeCluster string

Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

ClusterNamespace string

Optional. A namespace within the GKE cluster to deploy into.

TargetGkeCluster string

Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

clusterNamespace String

Optional. A namespace within the GKE cluster to deploy into.

targetGkeCluster String

Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

clusterNamespace string

Optional. A namespace within the GKE cluster to deploy into.

targetGkeCluster string

Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

cluster_namespace str

Optional. A namespace within the GKE cluster to deploy into.

target_gke_cluster str

Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

clusterNamespace String

Optional. A namespace within the GKE cluster to deploy into.

targetGkeCluster String

Optional. The target GKE cluster to deploy to. Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'

NodeGroupAffinityResponse

NodeGroupUri string

The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 node-group-1

NodeGroupUri string

The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 node-group-1

nodeGroupUri String

The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 node-group-1

nodeGroupUri string

The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 node-group-1

node_group_uri str

The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 node-group-1

nodeGroupUri String

The URI of a sole-tenant node group resource (https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on.A full URL, partial URI, or node group name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1 node-group-1

NodeInitializationActionResponse

ExecutableFile string

Cloud Storage URI of executable file.

ExecutionTimeout string

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

ExecutableFile string

Cloud Storage URI of executable file.

ExecutionTimeout string

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

executableFile String

Cloud Storage URI of executable file.

executionTimeout String

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

executableFile string

Cloud Storage URI of executable file.

executionTimeout string

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

executable_file str

Cloud Storage URI of executable file.

execution_timeout str

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

executableFile String

Cloud Storage URI of executable file.

executionTimeout String

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

OrderedJobResponse

HadoopJob Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.HadoopJobResponse

Optional. Job is a Hadoop job.

HiveJob Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.HiveJobResponse

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.

PigJob Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.PigJobResponse

Optional. Job is a Pig job.

PrerequisiteStepIds List<string>

Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.

PrestoJob Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.PrestoJobResponse

Optional. Job is a Presto job.

PysparkJob Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.PySparkJobResponse

Optional. Job is a PySpark job.

Scheduling Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.JobSchedulingResponse

Optional. Job scheduling configuration.

SparkJob Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.SparkJobResponse

Optional. Job is a Spark job.

SparkRJob Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.SparkRJobResponse

Optional. Job is a SparkR job.

SparkSqlJob Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.SparkSqlJobResponse

Optional. Job is a SparkSql job.

StepId 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.

HadoopJob HadoopJobResponse

Optional. Job is a Hadoop job.

HiveJob HiveJobResponse

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.

PigJob PigJobResponse

Optional. Job is a Pig job.

PrerequisiteStepIds []string

Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.

PrestoJob PrestoJobResponse

Optional. Job is a Presto job.

PysparkJob PySparkJobResponse

Optional. Job is a PySpark job.

Scheduling JobSchedulingResponse

Optional. Job scheduling configuration.

SparkJob SparkJobResponse

Optional. Job is a Spark job.

SparkRJob SparkRJobResponse

Optional. Job is a SparkR job.

SparkSqlJob SparkSqlJobResponse

Optional. Job is a SparkSql job.

StepId 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.

hadoopJob HadoopJobResponse

Optional. Job is a Hadoop job.

hiveJob HiveJobResponse

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.

pigJob PigJobResponse

Optional. Job is a Pig job.

prerequisiteStepIds List<String>

Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.

prestoJob PrestoJobResponse

Optional. Job is a Presto job.

pysparkJob PySparkJobResponse

Optional. Job is a PySpark job.

scheduling JobSchedulingResponse

Optional. Job scheduling configuration.

sparkJob SparkJobResponse

Optional. Job is a Spark job.

sparkRJob SparkRJobResponse

Optional. Job is a SparkR job.

sparkSqlJob SparkSqlJobResponse

Optional. Job is a SparkSql job.

stepId 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.

hadoopJob HadoopJobResponse

Optional. Job is a Hadoop job.

hiveJob HiveJobResponse

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.

pigJob PigJobResponse

Optional. Job is a Pig job.

prerequisiteStepIds string[]

Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.

prestoJob PrestoJobResponse

Optional. Job is a Presto job.

pysparkJob PySparkJobResponse

Optional. Job is a PySpark job.

scheduling JobSchedulingResponse

Optional. Job scheduling configuration.

sparkJob SparkJobResponse

Optional. Job is a Spark job.

sparkRJob SparkRJobResponse

Optional. Job is a SparkR job.

sparkSqlJob SparkSqlJobResponse

Optional. Job is a SparkSql job.

stepId 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.

hadoop_job HadoopJobResponse

Optional. Job is a Hadoop job.

hive_job HiveJobResponse

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 PigJobResponse

Optional. Job is a Pig job.

prerequisite_step_ids Sequence[str]

Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.

presto_job PrestoJobResponse

Optional. Job is a Presto job.

pyspark_job PySparkJobResponse

Optional. Job is a PySpark job.

scheduling JobSchedulingResponse

Optional. Job scheduling configuration.

spark_job SparkJobResponse

Optional. Job is a Spark job.

spark_r_job SparkRJobResponse

Optional. Job is a SparkR job.

spark_sql_job SparkSqlJobResponse

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.

hadoopJob Property Map

Optional. Job is a Hadoop job.

hiveJob 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.

pigJob Property Map

Optional. Job is a Pig job.

prerequisiteStepIds List<String>

Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.

prestoJob Property Map

Optional. Job is a Presto job.

pysparkJob Property Map

Optional. Job is a PySpark job.

scheduling Property Map

Optional. Job scheduling configuration.

sparkJob Property Map

Optional. Job is a Spark job.

sparkRJob Property Map

Optional. Job is a SparkR job.

sparkSqlJob Property Map

Optional. Job is a SparkSql job.

stepId 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.

ParameterValidationResponse

Regex RegexValidationResponse

Validation based on regular expressions.

Values ValueValidationResponse

Validation based on a list of allowed values.

regex RegexValidationResponse

Validation based on regular expressions.

values ValueValidationResponse

Validation based on a list of allowed values.

regex RegexValidationResponse

Validation based on regular expressions.

values ValueValidationResponse

Validation based on a list of allowed values.

regex RegexValidationResponse

Validation based on regular expressions.

values ValueValidationResponse

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.

PigJobResponse

ContinueOnFailure bool

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.

JarFileUris List<string>

Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

LoggingConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.LoggingConfigResponse

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.

QueryFileUri string

The HCFS URI of the script that contains the Pig queries.

QueryList Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.QueryListResponse

A list of queries.

ScriptVariables Dictionary<string, string>

Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

ContinueOnFailure bool

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.

JarFileUris []string

Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

LoggingConfig LoggingConfigResponse

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.

QueryFileUri string

The HCFS URI of the script that contains the Pig queries.

QueryList QueryListResponse

A list of queries.

ScriptVariables map[string]string

Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

continueOnFailure Boolean

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.

jarFileUris List<String>

Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

loggingConfig LoggingConfigResponse

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.

queryFileUri String

The HCFS URI of the script that contains the Pig queries.

queryList QueryListResponse

A list of queries.

scriptVariables Map<String,String>

Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

continueOnFailure boolean

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.

jarFileUris string[]

Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

loggingConfig LoggingConfigResponse

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.

queryFileUri string

The HCFS URI of the script that contains the Pig queries.

queryList QueryListResponse

A list of queries.

scriptVariables {[key: string]: string}

Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

continue_on_failure bool

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_uris Sequence[str]

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 LoggingConfigResponse

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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.

query_file_uri str

The HCFS URI of the script that contains the Pig queries.

query_list QueryListResponse

A list of queries.

script_variables Mapping[str, str]

Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

continueOnFailure Boolean

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.

jarFileUris List<String>

Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

loggingConfig 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 may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.

queryFileUri String

The HCFS URI of the script that contains the Pig queries.

queryList Property Map

A list of queries.

scriptVariables Map<String>

Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

PrestoJobResponse

ClientTags List<string>

Optional. Presto client tags to attach to this query

ContinueOnFailure bool

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.

LoggingConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.LoggingConfigResponse

Optional. The runtime log config for job execution.

OutputFormat 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

QueryFileUri string

The HCFS URI of the script that contains SQL queries.

QueryList Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.QueryListResponse

A list of queries.

ClientTags []string

Optional. Presto client tags to attach to this query

ContinueOnFailure bool

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.

LoggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

OutputFormat 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

QueryFileUri string

The HCFS URI of the script that contains SQL queries.

QueryList QueryListResponse

A list of queries.

clientTags List<String>

Optional. Presto client tags to attach to this query

continueOnFailure Boolean

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.

loggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

outputFormat 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

queryFileUri String

The HCFS URI of the script that contains SQL queries.

queryList QueryListResponse

A list of queries.

clientTags string[]

Optional. Presto client tags to attach to this query

continueOnFailure boolean

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.

loggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

outputFormat 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

queryFileUri string

The HCFS URI of the script that contains SQL queries.

queryList QueryListResponse

A list of queries.

client_tags Sequence[str]

Optional. Presto client tags to attach to this query

continue_on_failure bool

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 LoggingConfigResponse

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_uri str

The HCFS URI of the script that contains SQL queries.

query_list QueryListResponse

A list of queries.

clientTags List<String>

Optional. Presto client tags to attach to this query

continueOnFailure Boolean

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.

loggingConfig Property Map

Optional. The runtime log config for job execution.

outputFormat 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

queryFileUri String

The HCFS URI of the script that contains SQL queries.

queryList Property Map

A list of queries.

PySparkJobResponse

ArchiveUris 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.

FileUris List<string>

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

JarFileUris List<string>

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

LoggingConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.LoggingConfigResponse

Optional. The runtime log config for job execution.

MainPythonFileUri string

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

PythonFileUris List<string>

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

ArchiveUris []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.

FileUris []string

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

JarFileUris []string

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

LoggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

MainPythonFileUri string

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

PythonFileUris []string

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

archiveUris 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.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

jarFileUris List<String>

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

loggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

mainPythonFileUri String

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

pythonFileUris List<String>

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

archiveUris 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.

fileUris string[]

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

jarFileUris string[]

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

loggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

mainPythonFileUri string

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

pythonFileUris string[]

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_uris Sequence[str]

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

logging_config LoggingConfigResponse

Optional. The runtime log config for job execution.

main_python_file_uri str

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

python_file_uris Sequence[str]

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

archiveUris 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.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

jarFileUris List<String>

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

loggingConfig Property Map

Optional. The runtime log config for job execution.

mainPythonFileUri String

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

pythonFileUris List<String>

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

QueryListResponse

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", ] } }

RegexValidationResponse

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).

ReservationAffinityResponse

ConsumeReservationType string

Optional. Type of reservation to consume

Key string

Optional. Corresponds to the label key of reservation resource.

Values List<string>

Optional. Corresponds to the label values of reservation resource.

ConsumeReservationType string

Optional. Type of reservation to consume

Key string

Optional. Corresponds to the label key of reservation resource.

Values []string

Optional. Corresponds to the label values of reservation resource.

consumeReservationType String

Optional. Type of reservation to consume

key String

Optional. Corresponds to the label key of reservation resource.

values List<String>

Optional. Corresponds to the label values of reservation resource.

consumeReservationType string

Optional. Type of reservation to consume

key string

Optional. Corresponds to the label key of reservation resource.

values string[]

Optional. Corresponds to the label values of reservation resource.

consume_reservation_type str

Optional. Type of reservation to consume

key str

Optional. Corresponds to the label key of reservation resource.

values Sequence[str]

Optional. Corresponds to the label values of reservation resource.

consumeReservationType String

Optional. Type of reservation to consume

key String

Optional. Corresponds to the label key of reservation resource.

values List<String>

Optional. Corresponds to the label values of reservation resource.

SecurityConfigResponse

KerberosConfig KerberosConfigResponse

Optional. Kerberos related configuration.

kerberosConfig KerberosConfigResponse

Optional. Kerberos related configuration.

kerberosConfig KerberosConfigResponse

Optional. Kerberos related configuration.

kerberos_config KerberosConfigResponse

Optional. Kerberos related configuration.

kerberosConfig Property Map

Optional. Kerberos related configuration.

ShieldedInstanceConfigResponse

EnableIntegrityMonitoring bool

Optional. Defines whether instances have integrity monitoring enabled.

EnableSecureBoot bool

Optional. Defines whether instances have Secure Boot enabled.

EnableVtpm bool

Optional. Defines whether instances have the vTPM enabled.

EnableIntegrityMonitoring bool

Optional. Defines whether instances have integrity monitoring enabled.

EnableSecureBoot bool

Optional. Defines whether instances have Secure Boot enabled.

EnableVtpm bool

Optional. Defines whether instances have the vTPM enabled.

enableIntegrityMonitoring Boolean

Optional. Defines whether instances have integrity monitoring enabled.

enableSecureBoot Boolean

Optional. Defines whether instances have Secure Boot enabled.

enableVtpm Boolean

Optional. Defines whether instances have the vTPM enabled.

enableIntegrityMonitoring boolean

Optional. Defines whether instances have integrity monitoring enabled.

enableSecureBoot boolean

Optional. Defines whether instances have Secure Boot enabled.

enableVtpm boolean

Optional. Defines whether instances have the vTPM enabled.

enable_integrity_monitoring bool

Optional. Defines whether instances have integrity monitoring enabled.

enable_secure_boot bool

Optional. Defines whether instances have Secure Boot enabled.

enable_vtpm bool

Optional. Defines whether instances have the vTPM enabled.

enableIntegrityMonitoring Boolean

Optional. Defines whether instances have integrity monitoring enabled.

enableSecureBoot Boolean

Optional. Defines whether instances have Secure Boot enabled.

enableVtpm Boolean

Optional. Defines whether instances have the vTPM enabled.

SoftwareConfigResponse

ImageVersion string

Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.

OptionalComponents List<string>

The set of optional components to activate on the cluster.

Properties Dictionary<string, string>

Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

ImageVersion string

Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.

OptionalComponents []string

The set of optional components to activate on the cluster.

Properties map[string]string

Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

imageVersion String

Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.

optionalComponents List<String>

The set of optional components to activate on the cluster.

properties Map<String,String>

Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

imageVersion string

Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.

optionalComponents string[]

The set of optional 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]

The set of optional components to activate on the cluster.

properties Mapping[str, str]

Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings: capacity-scheduler: capacity-scheduler.xml core: core-site.xml distcp: distcp-default.xml hdfs: hdfs-site.xml hive: hive-site.xml mapred: mapred-site.xml pig: pig.properties spark: spark-defaults.conf yarn: yarn-site.xmlFor more information, see Cluster properties (https://cloud.google.com/dataproc/docs/concepts/cluster-properties).

imageVersion String

Optional. The version of software inside the cluster. It must be one of the supported Dataproc Versions (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version (https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.

optionalComponents List<String>

The set of optional 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).

SparkJobResponse

ArchiveUris 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.

FileUris List<string>

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

JarFileUris List<string>

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

LoggingConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.LoggingConfigResponse

Optional. The runtime log config for job execution.

MainClass 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 jar_file_uris.

MainJarFileUri string

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

ArchiveUris []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.

FileUris []string

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

JarFileUris []string

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

LoggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

MainClass 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 jar_file_uris.

MainJarFileUri string

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

archiveUris 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.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

jarFileUris List<String>

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

loggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

mainClass 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 jar_file_uris.

mainJarFileUri String

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

archiveUris 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.

fileUris string[]

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

jarFileUris string[]

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

loggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

mainClass 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 jar_file_uris.

mainJarFileUri string

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 may 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_uris Sequence[str]

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

logging_config LoggingConfigResponse

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 jar_file_uris.

main_jar_file_uri str

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

archiveUris 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.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

jarFileUris List<String>

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

loggingConfig Property Map

Optional. The runtime log config for job execution.

mainClass 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 jar_file_uris.

mainJarFileUri String

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

SparkRJobResponse

ArchiveUris 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.

FileUris List<string>

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

LoggingConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.LoggingConfigResponse

Optional. The runtime log config for job execution.

MainRFileUri string

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

ArchiveUris []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.

FileUris []string

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

LoggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

MainRFileUri string

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

archiveUris 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.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

loggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

mainRFileUri String

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

archiveUris 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.

fileUris string[]

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

loggingConfig LoggingConfigResponse

Optional. The runtime log config for job execution.

mainRFileUri string

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 may 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 LoggingConfigResponse

Optional. The runtime log config for job execution.

main_r_file_uri str

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

archiveUris 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.

fileUris List<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

loggingConfig Property Map

Optional. The runtime log config for job execution.

mainRFileUri String

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 may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

SparkSqlJobResponse

JarFileUris List<string>

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

LoggingConfig Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.LoggingConfigResponse

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 may be overwritten.

QueryFileUri string

The HCFS URI of the script that contains SQL queries.

QueryList Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.QueryListResponse

A list of queries.

ScriptVariables Dictionary<string, string>

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

JarFileUris []string

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

LoggingConfig LoggingConfigResponse

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 may be overwritten.

QueryFileUri string

The HCFS URI of the script that contains SQL queries.

QueryList QueryListResponse

A list of queries.

ScriptVariables map[string]string

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

jarFileUris List<String>

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

loggingConfig LoggingConfigResponse

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 may be overwritten.

queryFileUri String

The HCFS URI of the script that contains SQL queries.

queryList QueryListResponse

A list of queries.

scriptVariables Map<String,String>

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

jarFileUris string[]

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

loggingConfig LoggingConfigResponse

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 may be overwritten.

queryFileUri string

The HCFS URI of the script that contains SQL queries.

queryList QueryListResponse

A list of queries.

scriptVariables {[key: string]: string}

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

jar_file_uris Sequence[str]

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

logging_config LoggingConfigResponse

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 may be overwritten.

query_file_uri str

The HCFS URI of the script that contains SQL queries.

query_list QueryListResponse

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";).

jarFileUris List<String>

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

loggingConfig 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 may be overwritten.

queryFileUri String

The HCFS URI of the script that contains SQL queries.

queryList Property Map

A list of queries.

scriptVariables Map<String>

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

TemplateParameterResponse

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.GoogleNative.Dataproc.V1Beta2.Inputs.ParameterValidationResponse

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 ParameterValidationResponse

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 ParameterValidationResponse

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 ParameterValidationResponse

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 ParameterValidationResponse

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.

ValueValidationResponse

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.

WorkflowTemplatePlacementResponse

ClusterSelector Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.ClusterSelectorResponse

Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.

ManagedCluster Pulumi.GoogleNative.Dataproc.V1Beta2.Inputs.ManagedClusterResponse

Optional. A cluster that is managed by the workflow.

ClusterSelector ClusterSelectorResponse

Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.

ManagedCluster ManagedClusterResponse

Optional. A cluster that is managed by the workflow.

clusterSelector ClusterSelectorResponse

Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.

managedCluster ManagedClusterResponse

Optional. A cluster that is managed by the workflow.

clusterSelector ClusterSelectorResponse

Optional. A selector that chooses target cluster for jobs based on metadata.The selector is evaluated at the time each job is submitted.

managedCluster ManagedClusterResponse

Optional. A cluster that is managed by the workflow.

cluster_selector ClusterSelectorResponse

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 ManagedClusterResponse

Optional. A cluster that is managed by the workflow.

clusterSelector 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.

managedCluster Property Map

Optional. A cluster that is managed by the workflow.

Package Details

Repository
https://github.com/pulumi/pulumi-google-native
License
Apache-2.0