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  5. DatastoreDatalakeGen2

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Azure v6.22.0 published on Tuesday, Apr 1, 2025 by Pulumi
pulumi/pulumi-azure

azure.machinelearning.DatastoreDatalakeGen2

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We recommend using Azure Native.

Azure v6.22.0 published on Tuesday, Apr 1, 2025 by Pulumi
pulumi/pulumi-azure

    Manages a Machine Learning Data Lake Gen2 DataStore.

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";

const current = azure.core.getClientConfig({});
const example = new azure.core.ResourceGroup("example", {
    name: "example-resources",
    location: "West Europe",
});
const exampleInsights = new azure.appinsights.Insights("example", {
    name: "workspace-example-ai",
    location: example.location,
    resourceGroupName: example.name,
    applicationType: "web",
});
const exampleKeyVault = new azure.keyvault.KeyVault("example", {
    name: "workspaceexamplekeyvault",
    location: example.location,
    resourceGroupName: example.name,
    tenantId: current.then(current => current.tenantId),
    skuName: "premium",
});
const exampleAccount = new azure.storage.Account("example", {
    name: "workspacestorageaccount",
    location: example.location,
    resourceGroupName: example.name,
    accountTier: "Standard",
    accountReplicationType: "GRS",
});
const exampleWorkspace = new azure.machinelearning.Workspace("example", {
    name: "example-workspace",
    location: example.location,
    resourceGroupName: example.name,
    applicationInsightsId: exampleInsights.id,
    keyVaultId: exampleKeyVault.id,
    storageAccountId: exampleAccount.id,
    identity: {
        type: "SystemAssigned",
    },
});
const exampleContainer = new azure.storage.Container("example", {
    name: "example-container",
    storageAccountName: exampleAccount.name,
    containerAccessType: "private",
});
const exampleDatastoreDatalakeGen2 = new azure.machinelearning.DatastoreDatalakeGen2("example", {
    name: "example-datastore",
    workspaceId: exampleWorkspace.id,
    storageContainerId: exampleContainer.resourceManagerId,
});

    import pulumi
import pulumi_azure as azure

current = azure.core.get_client_config()
example = azure.core.ResourceGroup("example",
    name="example-resources",
    location="West Europe")
example_insights = azure.appinsights.Insights("example",
    name="workspace-example-ai",
    location=example.location,
    resource_group_name=example.name,
    application_type="web")
example_key_vault = azure.keyvault.KeyVault("example",
    name="workspaceexamplekeyvault",
    location=example.location,
    resource_group_name=example.name,
    tenant_id=current.tenant_id,
    sku_name="premium")
example_account = azure.storage.Account("example",
    name="workspacestorageaccount",
    location=example.location,
    resource_group_name=example.name,
    account_tier="Standard",
    account_replication_type="GRS")
example_workspace = azure.machinelearning.Workspace("example",
    name="example-workspace",
    location=example.location,
    resource_group_name=example.name,
    application_insights_id=example_insights.id,
    key_vault_id=example_key_vault.id,
    storage_account_id=example_account.id,
    identity={
        "type": "SystemAssigned",
    })
example_container = azure.storage.Container("example",
    name="example-container",
    storage_account_name=example_account.name,
    container_access_type="private")
example_datastore_datalake_gen2 = azure.machinelearning.DatastoreDatalakeGen2("example",
    name="example-datastore",
    workspace_id=example_workspace.id,
    storage_container_id=example_container.resource_manager_id)

    package main

import (
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/appinsights"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/core"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/keyvault"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/machinelearning"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/storage"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		current, err := core.GetClientConfig(ctx, map[string]interface{}{}, nil)
		if err != nil {
			return err
		}
		example, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
			Name:     pulumi.String("example-resources"),
			Location: pulumi.String("West Europe"),
		})
		if err != nil {
			return err
		}
		exampleInsights, err := appinsights.NewInsights(ctx, "example", &appinsights.InsightsArgs{
			Name:              pulumi.String("workspace-example-ai"),
			Location:          example.Location,
			ResourceGroupName: example.Name,
			ApplicationType:   pulumi.String("web"),
		})
		if err != nil {
			return err
		}
		exampleKeyVault, err := keyvault.NewKeyVault(ctx, "example", &keyvault.KeyVaultArgs{
			Name:              pulumi.String("workspaceexamplekeyvault"),
			Location:          example.Location,
			ResourceGroupName: example.Name,
			TenantId:          pulumi.String(current.TenantId),
			SkuName:           pulumi.String("premium"),
		})
		if err != nil {
			return err
		}
		exampleAccount, err := storage.NewAccount(ctx, "example", &storage.AccountArgs{
			Name:                   pulumi.String("workspacestorageaccount"),
			Location:               example.Location,
			ResourceGroupName:      example.Name,
			AccountTier:            pulumi.String("Standard"),
			AccountReplicationType: pulumi.String("GRS"),
		})
		if err != nil {
			return err
		}
		exampleWorkspace, err := machinelearning.NewWorkspace(ctx, "example", &machinelearning.WorkspaceArgs{
			Name:                  pulumi.String("example-workspace"),
			Location:              example.Location,
			ResourceGroupName:     example.Name,
			ApplicationInsightsId: exampleInsights.ID(),
			KeyVaultId:            exampleKeyVault.ID(),
			StorageAccountId:      exampleAccount.ID(),
			Identity: &machinelearning.WorkspaceIdentityArgs{
				Type: pulumi.String("SystemAssigned"),
			},
		})
		if err != nil {
			return err
		}
		exampleContainer, err := storage.NewContainer(ctx, "example", &storage.ContainerArgs{
			Name:                pulumi.String("example-container"),
			StorageAccountName:  exampleAccount.Name,
			ContainerAccessType: pulumi.String("private"),
		})
		if err != nil {
			return err
		}
		_, err = machinelearning.NewDatastoreDatalakeGen2(ctx, "example", &machinelearning.DatastoreDatalakeGen2Args{
			Name:               pulumi.String("example-datastore"),
			WorkspaceId:        exampleWorkspace.ID(),
			StorageContainerId: exampleContainer.ResourceManagerId,
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;

return await Deployment.RunAsync(() => 
{
    var current = Azure.Core.GetClientConfig.Invoke();

    var example = new Azure.Core.ResourceGroup("example", new()
    {
        Name = "example-resources",
        Location = "West Europe",
    });

    var exampleInsights = new Azure.AppInsights.Insights("example", new()
    {
        Name = "workspace-example-ai",
        Location = example.Location,
        ResourceGroupName = example.Name,
        ApplicationType = "web",
    });

    var exampleKeyVault = new Azure.KeyVault.KeyVault("example", new()
    {
        Name = "workspaceexamplekeyvault",
        Location = example.Location,
        ResourceGroupName = example.Name,
        TenantId = current.Apply(getClientConfigResult => getClientConfigResult.TenantId),
        SkuName = "premium",
    });

    var exampleAccount = new Azure.Storage.Account("example", new()
    {
        Name = "workspacestorageaccount",
        Location = example.Location,
        ResourceGroupName = example.Name,
        AccountTier = "Standard",
        AccountReplicationType = "GRS",
    });

    var exampleWorkspace = new Azure.MachineLearning.Workspace("example", new()
    {
        Name = "example-workspace",
        Location = example.Location,
        ResourceGroupName = example.Name,
        ApplicationInsightsId = exampleInsights.Id,
        KeyVaultId = exampleKeyVault.Id,
        StorageAccountId = exampleAccount.Id,
        Identity = new Azure.MachineLearning.Inputs.WorkspaceIdentityArgs
        {
            Type = "SystemAssigned",
        },
    });

    var exampleContainer = new Azure.Storage.Container("example", new()
    {
        Name = "example-container",
        StorageAccountName = exampleAccount.Name,
        ContainerAccessType = "private",
    });

    var exampleDatastoreDatalakeGen2 = new Azure.MachineLearning.DatastoreDatalakeGen2("example", new()
    {
        Name = "example-datastore",
        WorkspaceId = exampleWorkspace.Id,
        StorageContainerId = exampleContainer.ResourceManagerId,
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.core.CoreFunctions;
import com.pulumi.azure.core.ResourceGroup;
import com.pulumi.azure.core.ResourceGroupArgs;
import com.pulumi.azure.appinsights.Insights;
import com.pulumi.azure.appinsights.InsightsArgs;
import com.pulumi.azure.keyvault.KeyVault;
import com.pulumi.azure.keyvault.KeyVaultArgs;
import com.pulumi.azure.storage.Account;
import com.pulumi.azure.storage.AccountArgs;
import com.pulumi.azure.machinelearning.Workspace;
import com.pulumi.azure.machinelearning.WorkspaceArgs;
import com.pulumi.azure.machinelearning.inputs.WorkspaceIdentityArgs;
import com.pulumi.azure.storage.Container;
import com.pulumi.azure.storage.ContainerArgs;
import com.pulumi.azure.machinelearning.DatastoreDatalakeGen2;
import com.pulumi.azure.machinelearning.DatastoreDatalakeGen2Args;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var current = CoreFunctions.getClientConfig();

        var example = new ResourceGroup("example", ResourceGroupArgs.builder()
            .name("example-resources")
            .location("West Europe")
            .build());

        var exampleInsights = new Insights("exampleInsights", InsightsArgs.builder()
            .name("workspace-example-ai")
            .location(example.location())
            .resourceGroupName(example.name())
            .applicationType("web")
            .build());

        var exampleKeyVault = new KeyVault("exampleKeyVault", KeyVaultArgs.builder()
            .name("workspaceexamplekeyvault")
            .location(example.location())
            .resourceGroupName(example.name())
            .tenantId(current.applyValue(getClientConfigResult -> getClientConfigResult.tenantId()))
            .skuName("premium")
            .build());

        var exampleAccount = new Account("exampleAccount", AccountArgs.builder()
            .name("workspacestorageaccount")
            .location(example.location())
            .resourceGroupName(example.name())
            .accountTier("Standard")
            .accountReplicationType("GRS")
            .build());

        var exampleWorkspace = new Workspace("exampleWorkspace", WorkspaceArgs.builder()
            .name("example-workspace")
            .location(example.location())
            .resourceGroupName(example.name())
            .applicationInsightsId(exampleInsights.id())
            .keyVaultId(exampleKeyVault.id())
            .storageAccountId(exampleAccount.id())
            .identity(WorkspaceIdentityArgs.builder()
                .type("SystemAssigned")
                .build())
            .build());

        var exampleContainer = new Container("exampleContainer", ContainerArgs.builder()
            .name("example-container")
            .storageAccountName(exampleAccount.name())
            .containerAccessType("private")
            .build());

        var exampleDatastoreDatalakeGen2 = new DatastoreDatalakeGen2("exampleDatastoreDatalakeGen2", DatastoreDatalakeGen2Args.builder()
            .name("example-datastore")
            .workspaceId(exampleWorkspace.id())
            .storageContainerId(exampleContainer.resourceManagerId())
            .build());

    }
}

    resources:
  example:
    type: azure:core:ResourceGroup
    properties:
      name: example-resources
      location: West Europe
  exampleInsights:
    type: azure:appinsights:Insights
    name: example
    properties:
      name: workspace-example-ai
      location: ${example.location}
      resourceGroupName: ${example.name}
      applicationType: web
  exampleKeyVault:
    type: azure:keyvault:KeyVault
    name: example
    properties:
      name: workspaceexamplekeyvault
      location: ${example.location}
      resourceGroupName: ${example.name}
      tenantId: ${current.tenantId}
      skuName: premium
  exampleAccount:
    type: azure:storage:Account
    name: example
    properties:
      name: workspacestorageaccount
      location: ${example.location}
      resourceGroupName: ${example.name}
      accountTier: Standard
      accountReplicationType: GRS
  exampleWorkspace:
    type: azure:machinelearning:Workspace
    name: example
    properties:
      name: example-workspace
      location: ${example.location}
      resourceGroupName: ${example.name}
      applicationInsightsId: ${exampleInsights.id}
      keyVaultId: ${exampleKeyVault.id}
      storageAccountId: ${exampleAccount.id}
      identity:
        type: SystemAssigned
  exampleContainer:
    type: azure:storage:Container
    name: example
    properties:
      name: example-container
      storageAccountName: ${exampleAccount.name}
      containerAccessType: private
  exampleDatastoreDatalakeGen2:
    type: azure:machinelearning:DatastoreDatalakeGen2
    name: example
    properties:
      name: example-datastore
      workspaceId: ${exampleWorkspace.id}
      storageContainerId: ${exampleContainer.resourceManagerId}
variables:
  current:
    fn::invoke:
      function: azure:core:getClientConfig
      arguments: {}

    Create DatastoreDatalakeGen2 Resource

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

    Constructor syntax

    new DatastoreDatalakeGen2(name: string, args: DatastoreDatalakeGen2Args, opts?: CustomResourceOptions);
    @overload
def DatastoreDatalakeGen2(resource_name: str,
                          args: DatastoreDatalakeGen2Args,
                          opts: Optional[ResourceOptions] = None)

@overload
def DatastoreDatalakeGen2(resource_name: str,
                          opts: Optional[ResourceOptions] = None,
                          storage_container_id: Optional[str] = None,
                          workspace_id: Optional[str] = None,
                          authority_url: Optional[str] = None,
                          client_id: Optional[str] = None,
                          client_secret: Optional[str] = None,
                          description: Optional[str] = None,
                          name: Optional[str] = None,
                          service_data_identity: Optional[str] = None,
                          tags: Optional[Mapping[str, str]] = None,
                          tenant_id: Optional[str] = None)
    func NewDatastoreDatalakeGen2(ctx *Context, name string, args DatastoreDatalakeGen2Args, opts ...ResourceOption) (*DatastoreDatalakeGen2, error)
    public DatastoreDatalakeGen2(string name, DatastoreDatalakeGen2Args args, CustomResourceOptions? opts = null)
    public DatastoreDatalakeGen2(String name, DatastoreDatalakeGen2Args args)
public DatastoreDatalakeGen2(String name, DatastoreDatalakeGen2Args args, CustomResourceOptions options)

    type: azure:machinelearning:DatastoreDatalakeGen2
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args DatastoreDatalakeGen2Args
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args DatastoreDatalakeGen2Args
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args DatastoreDatalakeGen2Args
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args DatastoreDatalakeGen2Args
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args DatastoreDatalakeGen2Args
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

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

    var datastoreDatalakeGen2Resource = new Azure.MachineLearning.DatastoreDatalakeGen2("datastoreDatalakeGen2Resource", new()
{
    StorageContainerId = "string",
    WorkspaceId = "string",
    AuthorityUrl = "string",
    ClientId = "string",
    ClientSecret = "string",
    Description = "string",
    Name = "string",
    ServiceDataIdentity = "string",
    Tags = 
    {
        { "string", "string" },
    },
    TenantId = "string",
});

    example, err := machinelearning.NewDatastoreDatalakeGen2(ctx, "datastoreDatalakeGen2Resource", &machinelearning.DatastoreDatalakeGen2Args{
	StorageContainerId:  pulumi.String("string"),
	WorkspaceId:         pulumi.String("string"),
	AuthorityUrl:        pulumi.String("string"),
	ClientId:            pulumi.String("string"),
	ClientSecret:        pulumi.String("string"),
	Description:         pulumi.String("string"),
	Name:                pulumi.String("string"),
	ServiceDataIdentity: pulumi.String("string"),
	Tags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	TenantId: pulumi.String("string"),
})

    var datastoreDatalakeGen2Resource = new DatastoreDatalakeGen2("datastoreDatalakeGen2Resource", DatastoreDatalakeGen2Args.builder()
    .storageContainerId("string")
    .workspaceId("string")
    .authorityUrl("string")
    .clientId("string")
    .clientSecret("string")
    .description("string")
    .name("string")
    .serviceDataIdentity("string")
    .tags(Map.of("string", "string"))
    .tenantId("string")
    .build());

    datastore_datalake_gen2_resource = azure.machinelearning.DatastoreDatalakeGen2("datastoreDatalakeGen2Resource",
    storage_container_id="string",
    workspace_id="string",
    authority_url="string",
    client_id="string",
    client_secret="string",
    description="string",
    name="string",
    service_data_identity="string",
    tags={
        "string": "string",
    },
    tenant_id="string")

    const datastoreDatalakeGen2Resource = new azure.machinelearning.DatastoreDatalakeGen2("datastoreDatalakeGen2Resource", {
    storageContainerId: "string",
    workspaceId: "string",
    authorityUrl: "string",
    clientId: "string",
    clientSecret: "string",
    description: "string",
    name: "string",
    serviceDataIdentity: "string",
    tags: {
        string: "string",
    },
    tenantId: "string",
});

    type: azure:machinelearning:DatastoreDatalakeGen2
properties:
    authorityUrl: string
    clientId: string
    clientSecret: string
    description: string
    name: string
    serviceDataIdentity: string
    storageContainerId: string
    tags:
        string: string
    tenantId: string
    workspaceId: string

    DatastoreDatalakeGen2 Resource Properties

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

    Inputs

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

    The DatastoreDatalakeGen2 resource accepts the following input properties:

    StorageContainerId string
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    WorkspaceId string
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
    AuthorityUrl string
    An URL used for authentication.
    ClientId string
    The object ID of the Service Principal.
    ClientSecret string
    The secret of the Service Principal.
    Description string
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    Name string
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    ServiceDataIdentity string
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    Tags Dictionary<string, string>
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    TenantId string
    The ID of the Tenant which the Service Principal belongs to.
    StorageContainerId string
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    WorkspaceId string
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
    AuthorityUrl string
    An URL used for authentication.
    ClientId string
    The object ID of the Service Principal.
    ClientSecret string
    The secret of the Service Principal.
    Description string
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    Name string
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    ServiceDataIdentity string
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    Tags map[string]string
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    TenantId string
    The ID of the Tenant which the Service Principal belongs to.
    storageContainerId String
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    workspaceId String
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
    authorityUrl String
    An URL used for authentication.
    clientId String
    The object ID of the Service Principal.
    clientSecret String
    The secret of the Service Principal.
    description String
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    name String
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    serviceDataIdentity String
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    tags Map<String,String>
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    tenantId String
    The ID of the Tenant which the Service Principal belongs to.
    storageContainerId string
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    workspaceId string
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
    authorityUrl string
    An URL used for authentication.
    clientId string
    The object ID of the Service Principal.
    clientSecret string
    The secret of the Service Principal.
    description string
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    name string
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    serviceDataIdentity string
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    tags {[key: string]: string}
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    tenantId string
    The ID of the Tenant which the Service Principal belongs to.
    storage_container_id str
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    workspace_id str
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
    authority_url str
    An URL used for authentication.
    client_id str
    The object ID of the Service Principal.
    client_secret str
    The secret of the Service Principal.
    description str
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    name str
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    service_data_identity str
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    tags Mapping[str, str]
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    tenant_id str
    The ID of the Tenant which the Service Principal belongs to.
    storageContainerId String
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    workspaceId String
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
    authorityUrl String
    An URL used for authentication.
    clientId String
    The object ID of the Service Principal.
    clientSecret String
    The secret of the Service Principal.
    description String
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    name String
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    serviceDataIdentity String
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    tags Map<String>
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    tenantId String
    The ID of the Tenant which the Service Principal belongs to.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the DatastoreDatalakeGen2 resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    IsDefault bool
    Indicates whether this Machines Learning DataStore is the default for the Workspace.
    Id string
    The provider-assigned unique ID for this managed resource.
    IsDefault bool
    Indicates whether this Machines Learning DataStore is the default for the Workspace.
    id String
    The provider-assigned unique ID for this managed resource.
    isDefault Boolean
    Indicates whether this Machines Learning DataStore is the default for the Workspace.
    id string
    The provider-assigned unique ID for this managed resource.
    isDefault boolean
    Indicates whether this Machines Learning DataStore is the default for the Workspace.
    id str
    The provider-assigned unique ID for this managed resource.
    is_default bool
    Indicates whether this Machines Learning DataStore is the default for the Workspace.
    id String
    The provider-assigned unique ID for this managed resource.
    isDefault Boolean
    Indicates whether this Machines Learning DataStore is the default for the Workspace.

    Look up Existing DatastoreDatalakeGen2 Resource

    Get an existing DatastoreDatalakeGen2 resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: DatastoreDatalakeGen2State, opts?: CustomResourceOptions): DatastoreDatalakeGen2
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        authority_url: Optional[str] = None,
        client_id: Optional[str] = None,
        client_secret: Optional[str] = None,
        description: Optional[str] = None,
        is_default: Optional[bool] = None,
        name: Optional[str] = None,
        service_data_identity: Optional[str] = None,
        storage_container_id: Optional[str] = None,
        tags: Optional[Mapping[str, str]] = None,
        tenant_id: Optional[str] = None,
        workspace_id: Optional[str] = None) -> DatastoreDatalakeGen2
    func GetDatastoreDatalakeGen2(ctx *Context, name string, id IDInput, state *DatastoreDatalakeGen2State, opts ...ResourceOption) (*DatastoreDatalakeGen2, error)
    public static DatastoreDatalakeGen2 Get(string name, Input<string> id, DatastoreDatalakeGen2State? state, CustomResourceOptions? opts = null)
    public static DatastoreDatalakeGen2 get(String name, Output<String> id, DatastoreDatalakeGen2State state, CustomResourceOptions options)
    resources:  _:    type: azure:machinelearning:DatastoreDatalakeGen2    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    AuthorityUrl string
    An URL used for authentication.
    ClientId string
    The object ID of the Service Principal.
    ClientSecret string
    The secret of the Service Principal.
    Description string
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    IsDefault bool
    Indicates whether this Machines Learning DataStore is the default for the Workspace.
    Name string
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    ServiceDataIdentity string
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    StorageContainerId string
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    Tags Dictionary<string, string>
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    TenantId string
    The ID of the Tenant which the Service Principal belongs to.
    WorkspaceId string
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
    AuthorityUrl string
    An URL used for authentication.
    ClientId string
    The object ID of the Service Principal.
    ClientSecret string
    The secret of the Service Principal.
    Description string
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    IsDefault bool
    Indicates whether this Machines Learning DataStore is the default for the Workspace.
    Name string
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    ServiceDataIdentity string
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    StorageContainerId string
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    Tags map[string]string
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    TenantId string
    The ID of the Tenant which the Service Principal belongs to.
    WorkspaceId string
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
    authorityUrl String
    An URL used for authentication.
    clientId String
    The object ID of the Service Principal.
    clientSecret String
    The secret of the Service Principal.
    description String
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    isDefault Boolean
    Indicates whether this Machines Learning DataStore is the default for the Workspace.
    name String
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    serviceDataIdentity String
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    storageContainerId String
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    tags Map<String,String>
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    tenantId String
    The ID of the Tenant which the Service Principal belongs to.
    workspaceId String
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
    authorityUrl string
    An URL used for authentication.
    clientId string
    The object ID of the Service Principal.
    clientSecret string
    The secret of the Service Principal.
    description string
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    isDefault boolean
    Indicates whether this Machines Learning DataStore is the default for the Workspace.
    name string
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    serviceDataIdentity string
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    storageContainerId string
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    tags {[key: string]: string}
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    tenantId string
    The ID of the Tenant which the Service Principal belongs to.
    workspaceId string
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
    authority_url str
    An URL used for authentication.
    client_id str
    The object ID of the Service Principal.
    client_secret str
    The secret of the Service Principal.
    description str
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    is_default bool
    Indicates whether this Machines Learning DataStore is the default for the Workspace.
    name str
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    service_data_identity str
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    storage_container_id str
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    tags Mapping[str, str]
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    tenant_id str
    The ID of the Tenant which the Service Principal belongs to.
    workspace_id str
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
    authorityUrl String
    An URL used for authentication.
    clientId String
    The object ID of the Service Principal.
    clientSecret String
    The secret of the Service Principal.
    description String
    Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
    isDefault Boolean
    Indicates whether this Machines Learning DataStore is the default for the Workspace.
    name String
    The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    serviceDataIdentity String
    Specifies which identity to use when retrieving data from the specified source. Defaults to None. Possible values are None, WorkspaceSystemAssignedIdentity and WorkspaceUserAssignedIdentity.
    storageContainerId String
    The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
    tags Map<String>
    A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
    tenantId String
    The ID of the Tenant which the Service Principal belongs to.
    workspaceId String
    The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.

    Import

    Machine Learning DataStores can be imported using the resource id, e.g.

    $ pulumi import azure:machinelearning/datastoreDatalakeGen2:DatastoreDatalakeGen2 example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.MachineLearningServices/workspaces/mlw1/dataStores/datastore1

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    Azure Classic pulumi/pulumi-azure
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the azurerm Terraform Provider.
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    We recommend using Azure Native.

    Azure v6.22.0 published on Tuesday, Apr 1, 2025 by Pulumi
    pulumi/pulumi-azure