pulumi-azure-native-kotlin/com.pulumi.azurenative.machinelearningservices.kotlin/DatastoreArgs

DatastoreArgs

data class DatastoreArgs(val datastoreProperties: Output<Any>? = null, val name: Output<String>? = null, val resourceGroupName: Output<String>? = null, val skipValidation: Output<Boolean>? = null, val workspaceName: Output<String>? = null) : ConvertibleToJava<DatastoreArgs>

Azure Resource Manager resource envelope. Uses Azure REST API version 2023-04-01. Other available API versions: 2021-03-01-preview, 2022-02-01-preview, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-04-01-preview, 2024-07-01-preview, 2024-10-01, 2024-10-01-preview, 2025-01-01-preview.

Example Usage

CreateOrUpdate datastore (Azure Data Lake Gen1 w/ ServicePrincipal).

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var datastore = new AzureNative.MachineLearningServices.Datastore("datastore", new()
    {
        DatastoreProperties = new AzureNative.MachineLearningServices.Inputs.AzureDataLakeGen1DatastoreArgs
        {
            Credentials = new AzureNative.MachineLearningServices.Inputs.ServicePrincipalDatastoreCredentialsArgs
            {
                AuthorityUrl = "string",
                ClientId = "00000000-1111-2222-3333-444444444444",
                CredentialsType = "ServicePrincipal",
                ResourceUrl = "string",
                Secrets = new AzureNative.MachineLearningServices.Inputs.ServicePrincipalDatastoreSecretsArgs
                {
                    ClientSecret = "string",
                    SecretsType = "ServicePrincipal",
                },
                TenantId = "00000000-1111-2222-3333-444444444444",
            },
            DatastoreType = "AzureDataLakeGen1",
            Description = "string",
            StoreName = "string",
            Tags =
            {
                { "string", "string" },
            },
        },
        Name = "string",
        ResourceGroupName = "test-rg",
        SkipValidation = false,
        WorkspaceName = "my-aml-workspace",
    });
});
Content copied to clipboard
package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewDatastore(ctx, "datastore", &machinelearningservices.DatastoreArgs{
			DatastoreProperties: &machinelearningservices.AzureDataLakeGen1DatastoreArgs{
				Credentials: machinelearningservices.ServicePrincipalDatastoreCredentials{
					AuthorityUrl:    "string",
					ClientId:        "00000000-1111-2222-3333-444444444444",
					CredentialsType: "ServicePrincipal",
					ResourceUrl:     "string",
					Secrets: machinelearningservices.ServicePrincipalDatastoreSecrets{
						ClientSecret: "string",
						SecretsType:  "ServicePrincipal",
					},
					TenantId: "00000000-1111-2222-3333-444444444444",
				},
				DatastoreType: pulumi.String("AzureDataLakeGen1"),
				Description:   pulumi.String("string"),
				StoreName:     pulumi.String("string"),
				Tags: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
			},
			Name:              pulumi.String("string"),
			ResourceGroupName: pulumi.String("test-rg"),
			SkipValidation:    pulumi.Bool(false),
			WorkspaceName:     pulumi.String("my-aml-workspace"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
Content copied to clipboard
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.Datastore;
import com.pulumi.azurenative.machinelearningservices.DatastoreArgs;
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) {
        var datastore = new Datastore("datastore", DatastoreArgs.builder()
            .datastoreProperties(AzureDataLakeGen1DatastoreArgs.builder()
                .credentials(ServicePrincipalDatastoreCredentialsArgs.builder()
                    .authorityUrl("string")
                    .clientId("00000000-1111-2222-3333-444444444444")
                    .credentialsType("ServicePrincipal")
                    .resourceUrl("string")
                    .secrets(ServicePrincipalDatastoreSecretsArgs.builder()
                        .clientSecret("string")
                        .secretsType("ServicePrincipal")
                        .build())
                    .tenantId("00000000-1111-2222-3333-444444444444")
                    .build())
                .datastoreType("AzureDataLakeGen1")
                .description("string")
                .storeName("string")
                .tags(Map.of("string", "string"))
                .build())
            .name("string")
            .resourceGroupName("test-rg")
            .skipValidation(false)
            .workspaceName("my-aml-workspace")
            .build());
    }
}
Content copied to clipboard

CreateOrUpdate datastore (Azure Data Lake Gen2 w/ Service Principal).

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var datastore = new AzureNative.MachineLearningServices.Datastore("datastore", new()
    {
        DatastoreProperties = new AzureNative.MachineLearningServices.Inputs.AzureDataLakeGen2DatastoreArgs
        {
            AccountName = "string",
            Credentials = new AzureNative.MachineLearningServices.Inputs.ServicePrincipalDatastoreCredentialsArgs
            {
                AuthorityUrl = "string",
                ClientId = "00000000-1111-2222-3333-444444444444",
                CredentialsType = "ServicePrincipal",
                ResourceUrl = "string",
                Secrets = new AzureNative.MachineLearningServices.Inputs.ServicePrincipalDatastoreSecretsArgs
                {
                    ClientSecret = "string",
                    SecretsType = "ServicePrincipal",
                },
                TenantId = "00000000-1111-2222-3333-444444444444",
            },
            DatastoreType = "AzureDataLakeGen2",
            Description = "string",
            Endpoint = "string",
            Filesystem = "string",
            Protocol = "string",
            Tags =
            {
                { "string", "string" },
            },
        },
        Name = "string",
        ResourceGroupName = "test-rg",
        SkipValidation = false,
        WorkspaceName = "my-aml-workspace",
    });
});
Content copied to clipboard
package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewDatastore(ctx, "datastore", &machinelearningservices.DatastoreArgs{
			DatastoreProperties: &machinelearningservices.AzureDataLakeGen2DatastoreArgs{
				AccountName: pulumi.String("string"),
				Credentials: machinelearningservices.ServicePrincipalDatastoreCredentials{
					AuthorityUrl:    "string",
					ClientId:        "00000000-1111-2222-3333-444444444444",
					CredentialsType: "ServicePrincipal",
					ResourceUrl:     "string",
					Secrets: machinelearningservices.ServicePrincipalDatastoreSecrets{
						ClientSecret: "string",
						SecretsType:  "ServicePrincipal",
					},
					TenantId: "00000000-1111-2222-3333-444444444444",
				},
				DatastoreType: pulumi.String("AzureDataLakeGen2"),
				Description:   pulumi.String("string"),
				Endpoint:      pulumi.String("string"),
				Filesystem:    pulumi.String("string"),
				Protocol:      pulumi.String("string"),
				Tags: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
			},
			Name:              pulumi.String("string"),
			ResourceGroupName: pulumi.String("test-rg"),
			SkipValidation:    pulumi.Bool(false),
			WorkspaceName:     pulumi.String("my-aml-workspace"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
Content copied to clipboard
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.Datastore;
import com.pulumi.azurenative.machinelearningservices.DatastoreArgs;
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) {
        var datastore = new Datastore("datastore", DatastoreArgs.builder()
            .datastoreProperties(AzureDataLakeGen2DatastoreArgs.builder()
                .accountName("string")
                .credentials(ServicePrincipalDatastoreCredentialsArgs.builder()
                    .authorityUrl("string")
                    .clientId("00000000-1111-2222-3333-444444444444")
                    .credentialsType("ServicePrincipal")
                    .resourceUrl("string")
                    .secrets(ServicePrincipalDatastoreSecretsArgs.builder()
                        .clientSecret("string")
                        .secretsType("ServicePrincipal")
                        .build())
                    .tenantId("00000000-1111-2222-3333-444444444444")
                    .build())
                .datastoreType("AzureDataLakeGen2")
                .description("string")
                .endpoint("string")
                .filesystem("string")
                .protocol("string")
                .tags(Map.of("string", "string"))
                .build())
            .name("string")
            .resourceGroupName("test-rg")
            .skipValidation(false)
            .workspaceName("my-aml-workspace")
            .build());
    }
}
Content copied to clipboard

CreateOrUpdate datastore (Azure File store w/ AccountKey).

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var datastore = new AzureNative.MachineLearningServices.Datastore("datastore", new()
    {
        DatastoreProperties = new AzureNative.MachineLearningServices.Inputs.AzureFileDatastoreArgs
        {
            AccountName = "string",
            Credentials = new AzureNative.MachineLearningServices.Inputs.AccountKeyDatastoreCredentialsArgs
            {
                CredentialsType = "AccountKey",
                Secrets = new AzureNative.MachineLearningServices.Inputs.AccountKeyDatastoreSecretsArgs
                {
                    Key = "string",
                    SecretsType = "AccountKey",
                },
            },
            DatastoreType = "AzureFile",
            Description = "string",
            Endpoint = "string",
            FileShareName = "string",
            Protocol = "string",
            Tags =
            {
                { "string", "string" },
            },
        },
        Name = "string",
        ResourceGroupName = "test-rg",
        SkipValidation = false,
        WorkspaceName = "my-aml-workspace",
    });
});
Content copied to clipboard
package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewDatastore(ctx, "datastore", &machinelearningservices.DatastoreArgs{
			DatastoreProperties: &machinelearningservices.AzureFileDatastoreArgs{
				AccountName: pulumi.String("string"),
				Credentials: machinelearningservices.AccountKeyDatastoreCredentials{
					CredentialsType: "AccountKey",
					Secrets: machinelearningservices.AccountKeyDatastoreSecrets{
						Key:         "string",
						SecretsType: "AccountKey",
					},
				},
				DatastoreType: pulumi.String("AzureFile"),
				Description:   pulumi.String("string"),
				Endpoint:      pulumi.String("string"),
				FileShareName: pulumi.String("string"),
				Protocol:      pulumi.String("string"),
				Tags: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
			},
			Name:              pulumi.String("string"),
			ResourceGroupName: pulumi.String("test-rg"),
			SkipValidation:    pulumi.Bool(false),
			WorkspaceName:     pulumi.String("my-aml-workspace"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
Content copied to clipboard
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.Datastore;
import com.pulumi.azurenative.machinelearningservices.DatastoreArgs;
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) {
        var datastore = new Datastore("datastore", DatastoreArgs.builder()
            .datastoreProperties(AzureFileDatastoreArgs.builder()
                .accountName("string")
                .credentials(AccountKeyDatastoreCredentialsArgs.builder()
                    .credentialsType("AccountKey")
                    .secrets(AccountKeyDatastoreSecretsArgs.builder()
                        .key("string")
                        .secretsType("AccountKey")
                        .build())
                    .build())
                .datastoreType("AzureFile")
                .description("string")
                .endpoint("string")
                .fileShareName("string")
                .protocol("string")
                .tags(Map.of("string", "string"))
                .build())
            .name("string")
            .resourceGroupName("test-rg")
            .skipValidation(false)
            .workspaceName("my-aml-workspace")
            .build());
    }
}
Content copied to clipboard

CreateOrUpdate datastore (AzureBlob w/ AccountKey).

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var datastore = new AzureNative.MachineLearningServices.Datastore("datastore", new()
    {
        DatastoreProperties = new AzureNative.MachineLearningServices.Inputs.AzureBlobDatastoreArgs
        {
            AccountName = "string",
            ContainerName = "string",
            Credentials = new AzureNative.MachineLearningServices.Inputs.AccountKeyDatastoreCredentialsArgs
            {
                CredentialsType = "AccountKey",
                Secrets = new AzureNative.MachineLearningServices.Inputs.AccountKeyDatastoreSecretsArgs
                {
                    Key = "string",
                    SecretsType = "AccountKey",
                },
            },
            DatastoreType = "AzureBlob",
            Description = "string",
            Endpoint = "core.windows.net",
            Protocol = "https",
            Tags =
            {
                { "string", "string" },
            },
        },
        Name = "string",
        ResourceGroupName = "test-rg",
        SkipValidation = false,
        WorkspaceName = "my-aml-workspace",
    });
});
Content copied to clipboard
package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewDatastore(ctx, "datastore", &machinelearningservices.DatastoreArgs{
			DatastoreProperties: &machinelearningservices.AzureBlobDatastoreArgs{
				AccountName:   pulumi.String("string"),
				ContainerName: pulumi.String("string"),
				Credentials: machinelearningservices.AccountKeyDatastoreCredentials{
					CredentialsType: "AccountKey",
					Secrets: machinelearningservices.AccountKeyDatastoreSecrets{
						Key:         "string",
						SecretsType: "AccountKey",
					},
				},
				DatastoreType: pulumi.String("AzureBlob"),
				Description:   pulumi.String("string"),
				Endpoint:      pulumi.String("core.windows.net"),
				Protocol:      pulumi.String("https"),
				Tags: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
			},
			Name:              pulumi.String("string"),
			ResourceGroupName: pulumi.String("test-rg"),
			SkipValidation:    pulumi.Bool(false),
			WorkspaceName:     pulumi.String("my-aml-workspace"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
Content copied to clipboard
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.Datastore;
import com.pulumi.azurenative.machinelearningservices.DatastoreArgs;
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) {
        var datastore = new Datastore("datastore", DatastoreArgs.builder()
            .datastoreProperties(AzureBlobDatastoreArgs.builder()
                .accountName("string")
                .containerName("string")
                .credentials(AccountKeyDatastoreCredentialsArgs.builder()
                    .credentialsType("AccountKey")
                    .secrets(AccountKeyDatastoreSecretsArgs.builder()
                        .key("string")
                        .secretsType("AccountKey")
                        .build())
                    .build())
                .datastoreType("AzureBlob")
                .description("string")
                .endpoint("core.windows.net")
                .protocol("https")
                .tags(Map.of("string", "string"))
                .build())
            .name("string")
            .resourceGroupName("test-rg")
            .skipValidation(false)
            .workspaceName("my-aml-workspace")
            .build());
    }
}
Content copied to clipboard

Import

An existing resource can be imported using its type token, name, and identifier, e.g.

$ pulumi import azure-native:machinelearningservices:Datastore string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/datastores/{name}
Content copied to clipboard

Constructors

Link copied to clipboard
constructor(datastoreProperties: Output<Any>? = null, name: Output<String>? = null, resourceGroupName: Output<String>? = null, skipValidation: Output<Boolean>? = null, workspaceName: Output<String>? = null)

Properties

Link copied to clipboard
val datastoreProperties: Output<Any>? = null

Required Additional attributes of the entity.

Link copied to clipboard
val name: Output<String>? = null

Datastore name.

Link copied to clipboard
val resourceGroupName: Output<String>? = null

The name of the resource group. The name is case insensitive.

Link copied to clipboard
val skipValidation: Output<Boolean>? = null

Flag to skip validation.

Link copied to clipboard
val workspaceName: Output<String>? = null

Name of Azure Machine Learning workspace.

Functions

Link copied to clipboard
open override fun toJava(): DatastoreArgs