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

MachineLearningDatastoreArgs

data class MachineLearningDatastoreArgs(val accountKey: Output<String>? = null, val accountName: Output<String>? = null, val adlsResourceGroup: Output<String>? = null, val adlsSubscriptionId: Output<String>? = null, val authorityUrl: Output<String>? = null, val clientId: Output<String>? = null, val clientSecret: Output<String>? = null, val containerName: Output<String>? = null, val dataStoreType: Output<Either<String, DatastoreTypeArm>>? = null, val databaseName: Output<String>? = null, val datastoreName: Output<String>? = null, val description: Output<String>? = null, val endpoint: Output<String>? = null, val enforceSSL: Output<Boolean>? = null, val fileSystem: Output<String>? = null, val includeSecret: Output<Boolean>? = null, val name: Output<String>? = null, val password: Output<String>? = null, val port: Output<String>? = null, val protocol: Output<String>? = null, val resourceGroupName: Output<String>? = null, val resourceUrl: Output<String>? = null, val sasToken: Output<String>? = null, val serverName: Output<String>? = null, val shareName: Output<String>? = null, val skipValidation: Output<Boolean>? = null, val storageAccountResourceGroup: Output<String>? = null, val storageAccountSubscriptionId: Output<String>? = null, val storeName: Output<String>? = null, val tenantId: Output<String>? = null, val userId: Output<String>? = null, val userName: Output<String>? = null, val workspaceName: Output<String>? = null, val workspaceSystemAssignedIdentity: Output<Boolean>? = null) : ConvertibleToJava<MachineLearningDatastoreArgs>

Machine Learning datastore object wrapped into ARM resource envelope. Uses Azure REST API version 2020-05-01-preview. In version 2.x of the Azure Native provider, it used API version 2020-05-01-preview.

Example Usage

Create ADLS Datastore

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
    {
        ClientId = "233d7008-b157-4354-88d1-ba191f06a900",
        ClientSecret = "vdvgdvdvdv",
        DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Adls,
        DatastoreName = "adlsDatastore",
        ResourceGroupName = "acjain-mleastUS2",
        StoreName = "stanley",
        TenantId = "72f988bf-86f1-41af-91ab-2d7cd011db47",
        WorkspaceName = "acjain-mleastUS2",
    });
});
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package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
			ClientId:          pulumi.String("233d7008-b157-4354-88d1-ba191f06a900"),
			ClientSecret:      pulumi.String("vdvgdvdvdv"),
			DataStoreType:     pulumi.String(machinelearningservices.DatastoreTypeArmAdls),
			DatastoreName:     pulumi.String("adlsDatastore"),
			ResourceGroupName: pulumi.String("acjain-mleastUS2"),
			StoreName:         pulumi.String("stanley"),
			TenantId:          pulumi.String("72f988bf-86f1-41af-91ab-2d7cd011db47"),
			WorkspaceName:     pulumi.String("acjain-mleastUS2"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
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 machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
            .clientId("233d7008-b157-4354-88d1-ba191f06a900")
            .clientSecret("vdvgdvdvdv")
            .dataStoreType("adls")
            .datastoreName("adlsDatastore")
            .resourceGroupName("acjain-mleastUS2")
            .storeName("stanley")
            .tenantId("72f988bf-86f1-41af-91ab-2d7cd011db47")
            .workspaceName("acjain-mleastUS2")
            .build());
    }
}
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Create ADLS Gen2 Datastore

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
    {
        AccountName = "nicksadlsgen2storage",
        ClientId = "233d7008-b157-4354-88d1-ba191f06a900",
        ClientSecret = "vdegbvedgeg",
        DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Adls_gen2,
        DatastoreName = "adlsgen2Datastore",
        FileSystem = "testfs1",
        ResourceGroupName = "acjain-mleastUS2",
        TenantId = "72f988bf-86f1-41af-91ab-2d7cd011db47",
        WorkspaceName = "acjain-mleastUS2",
    });
});
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package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
			AccountName:       pulumi.String("nicksadlsgen2storage"),
			ClientId:          pulumi.String("233d7008-b157-4354-88d1-ba191f06a900"),
			ClientSecret:      pulumi.String("vdegbvedgeg"),
			DataStoreType:     pulumi.String(machinelearningservices.DatastoreTypeArm_Adls_Gen2),
			DatastoreName:     pulumi.String("adlsgen2Datastore"),
			FileSystem:        pulumi.String("testfs1"),
			ResourceGroupName: pulumi.String("acjain-mleastUS2"),
			TenantId:          pulumi.String("72f988bf-86f1-41af-91ab-2d7cd011db47"),
			WorkspaceName:     pulumi.String("acjain-mleastUS2"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
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 machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
            .accountName("nicksadlsgen2storage")
            .clientId("233d7008-b157-4354-88d1-ba191f06a900")
            .clientSecret("vdegbvedgeg")
            .dataStoreType("adls-gen2")
            .datastoreName("adlsgen2Datastore")
            .fileSystem("testfs1")
            .resourceGroupName("acjain-mleastUS2")
            .tenantId("72f988bf-86f1-41af-91ab-2d7cd011db47")
            .workspaceName("acjain-mleastUS2")
            .build());
    }
}
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Create Blob Datastore

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
    {
        AccountKey = "wddrfewfewsgewgrrwegwreg",
        AccountName = "acjainmleastus9484093746",
        ContainerName = "azureml-blobstore-5da947c5-53aa-41a5-bb2b-074074e73b7",
        DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Blob,
        DatastoreName = "blobDatastore",
        ResourceGroupName = "acjain-mleastUS2",
        WorkspaceName = "acjain-mleastUS2",
    });
});
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package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
			AccountKey:        pulumi.String("wddrfewfewsgewgrrwegwreg"),
			AccountName:       pulumi.String("acjainmleastus9484093746"),
			ContainerName:     pulumi.String("azureml-blobstore-5da947c5-53aa-41a5-bb2b-074074e73b7"),
			DataStoreType:     pulumi.String(machinelearningservices.DatastoreTypeArmBlob),
			DatastoreName:     pulumi.String("blobDatastore"),
			ResourceGroupName: pulumi.String("acjain-mleastUS2"),
			WorkspaceName:     pulumi.String("acjain-mleastUS2"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
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 machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
            .accountKey("wddrfewfewsgewgrrwegwreg")
            .accountName("acjainmleastus9484093746")
            .containerName("azureml-blobstore-5da947c5-53aa-41a5-bb2b-074074e73b7")
            .dataStoreType("blob")
            .datastoreName("blobDatastore")
            .resourceGroupName("acjain-mleastUS2")
            .workspaceName("acjain-mleastUS2")
            .build());
    }
}
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Create Databricks File System Datastore

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
    {
        DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Dbfs,
        DatastoreName = "blobDatastore",
        ResourceGroupName = "acjain-mleastUS2",
        WorkspaceName = "acjain-mleastUS2",
    });
});
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package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
			DataStoreType:     pulumi.String(machinelearningservices.DatastoreTypeArmDbfs),
			DatastoreName:     pulumi.String("blobDatastore"),
			ResourceGroupName: pulumi.String("acjain-mleastUS2"),
			WorkspaceName:     pulumi.String("acjain-mleastUS2"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
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 machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
            .dataStoreType("dbfs")
            .datastoreName("blobDatastore")
            .resourceGroupName("acjain-mleastUS2")
            .workspaceName("acjain-mleastUS2")
            .build());
    }
}
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Create File Datastore

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
    {
        AccountKey = "wddrfewfewsgewgrrwegwreg",
        AccountName = "acjainmleastus9484093746",
        DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.File,
        DatastoreName = "fileDatastore",
        ResourceGroupName = "acjain-mleastUS2",
        ShareName = "azureml-filestore-5da947c5-53aa-41a5-bb2b-074074e73b76",
        WorkspaceName = "acjain-mleastUS2",
    });
});
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package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
			AccountKey:        pulumi.String("wddrfewfewsgewgrrwegwreg"),
			AccountName:       pulumi.String("acjainmleastus9484093746"),
			DataStoreType:     pulumi.String(machinelearningservices.DatastoreTypeArmFile),
			DatastoreName:     pulumi.String("fileDatastore"),
			ResourceGroupName: pulumi.String("acjain-mleastUS2"),
			ShareName:         pulumi.String("azureml-filestore-5da947c5-53aa-41a5-bb2b-074074e73b76"),
			WorkspaceName:     pulumi.String("acjain-mleastUS2"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
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 machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
            .accountKey("wddrfewfewsgewgrrwegwreg")
            .accountName("acjainmleastus9484093746")
            .dataStoreType("file")
            .datastoreName("fileDatastore")
            .resourceGroupName("acjain-mleastUS2")
            .shareName("azureml-filestore-5da947c5-53aa-41a5-bb2b-074074e73b76")
            .workspaceName("acjain-mleastUS2")
            .build());
    }
}
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Create MySQL Datastore

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
    {
        DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Mysqldb,
        DatabaseName = "dataset",
        DatastoreName = "mySqlDatastore",
        Password = "<password>",
        ResourceGroupName = "acjain-mleastUS2",
        ServerName = "dataset-mysql-srv",
        UserId = "demo_user@dataset-mysql-srv",
        WorkspaceName = "acjain-mleastUS2",
    });
});
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package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
			DataStoreType:     pulumi.String(machinelearningservices.DatastoreTypeArmMysqldb),
			DatabaseName:      pulumi.String("dataset"),
			DatastoreName:     pulumi.String("mySqlDatastore"),
			Password:          pulumi.String("<password>"),
			ResourceGroupName: pulumi.String("acjain-mleastUS2"),
			ServerName:        pulumi.String("dataset-mysql-srv"),
			UserId:            pulumi.String("demo_user@dataset-mysql-srv"),
			WorkspaceName:     pulumi.String("acjain-mleastUS2"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
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 machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
            .dataStoreType("mysqldb")
            .databaseName("dataset")
            .datastoreName("mySqlDatastore")
            .password("<password>")
            .resourceGroupName("acjain-mleastUS2")
            .serverName("dataset-mysql-srv")
            .userId("demo_user@dataset-mysql-srv")
            .workspaceName("acjain-mleastUS2")
            .build());
    }
}
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Create PostgreSQL Datastore

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
    {
        DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Psqldb,
        DatabaseName = "dataset",
        DatastoreName = "postgreSqlDatastore",
        Password = "<password>",
        ResourceGroupName = "acjain-mleastUS2",
        ServerName = "dataset-pgsql-srv",
        UserId = "demo_user@dataset-pgsql-srv",
        WorkspaceName = "acjain-mleastUS2",
    });
});
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package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
			DataStoreType:     pulumi.String(machinelearningservices.DatastoreTypeArmPsqldb),
			DatabaseName:      pulumi.String("dataset"),
			DatastoreName:     pulumi.String("postgreSqlDatastore"),
			Password:          pulumi.String("<password>"),
			ResourceGroupName: pulumi.String("acjain-mleastUS2"),
			ServerName:        pulumi.String("dataset-pgsql-srv"),
			UserId:            pulumi.String("demo_user@dataset-pgsql-srv"),
			WorkspaceName:     pulumi.String("acjain-mleastUS2"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
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 machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
            .dataStoreType("psqldb")
            .databaseName("dataset")
            .datastoreName("postgreSqlDatastore")
            .password("<password>")
            .resourceGroupName("acjain-mleastUS2")
            .serverName("dataset-pgsql-srv")
            .userId("demo_user@dataset-pgsql-srv")
            .workspaceName("acjain-mleastUS2")
            .build());
    }
}
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Create SQL Datastore

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
    {
        DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Sqldb,
        DatabaseName = "dataset",
        DatastoreName = "sqlDatastore",
        Password = "<password>",
        ResourceGroupName = "acjain-mleastUS2",
        ServerName = "dataset-azsql-srv",
        UserName = "demo_user",
        WorkspaceName = "acjain-mleastUS2",
    });
});
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package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
			DataStoreType:     pulumi.String(machinelearningservices.DatastoreTypeArmSqldb),
			DatabaseName:      pulumi.String("dataset"),
			DatastoreName:     pulumi.String("sqlDatastore"),
			Password:          pulumi.String("<password>"),
			ResourceGroupName: pulumi.String("acjain-mleastUS2"),
			ServerName:        pulumi.String("dataset-azsql-srv"),
			UserName:          pulumi.String("demo_user"),
			WorkspaceName:     pulumi.String("acjain-mleastUS2"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
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 machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
            .dataStoreType("sqldb")
            .databaseName("dataset")
            .datastoreName("sqlDatastore")
            .password("<password>")
            .resourceGroupName("acjain-mleastUS2")
            .serverName("dataset-azsql-srv")
            .userName("demo_user")
            .workspaceName("acjain-mleastUS2")
            .build());
    }
}
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Import

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

$ pulumi import azure-native:machinelearningservices:MachineLearningDatastore sqlDatastore /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/datastores/{datastoreName}
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Constructors

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constructor(accountKey: Output<String>? = null, accountName: Output<String>? = null, adlsResourceGroup: Output<String>? = null, adlsSubscriptionId: Output<String>? = null, authorityUrl: Output<String>? = null, clientId: Output<String>? = null, clientSecret: Output<String>? = null, containerName: Output<String>? = null, dataStoreType: Output<Either<String, DatastoreTypeArm>>? = null, databaseName: Output<String>? = null, datastoreName: Output<String>? = null, description: Output<String>? = null, endpoint: Output<String>? = null, enforceSSL: Output<Boolean>? = null, fileSystem: Output<String>? = null, includeSecret: Output<Boolean>? = null, name: Output<String>? = null, password: Output<String>? = null, port: Output<String>? = null, protocol: Output<String>? = null, resourceGroupName: Output<String>? = null, resourceUrl: Output<String>? = null, sasToken: Output<String>? = null, serverName: Output<String>? = null, shareName: Output<String>? = null, skipValidation: Output<Boolean>? = null, storageAccountResourceGroup: Output<String>? = null, storageAccountSubscriptionId: Output<String>? = null, storeName: Output<String>? = null, tenantId: Output<String>? = null, userId: Output<String>? = null, userName: Output<String>? = null, workspaceName: Output<String>? = null, workspaceSystemAssignedIdentity: Output<Boolean>? = null)

Properties

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val accountKey: Output<String>? = null

Account Key of storage account.

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val accountName: Output<String>? = null

The name of the storage account.

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val adlsResourceGroup: Output<String>? = null

The resource group the ADLS store belongs to. Defaults to selected resource group.

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val adlsSubscriptionId: Output<String>? = null

The ID of the subscription the ADLS store belongs to. Defaults to selected subscription.

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val authorityUrl: Output<String>? = null

Authority url used to authenticate the user.

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val clientId: Output<String>? = null

The service principal's client/application ID.

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val clientSecret: Output<String>? = null

The service principal's secret.

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val containerName: Output<String>? = null

The name of the azure blob container.

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val databaseName: Output<String>? = null

The database name.

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val datastoreName: Output<String>? = null

The Datastore name.

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val dataStoreType: Output<Either<String, DatastoreTypeArm>>? = null

Specifies datastore type.

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val description: Output<String>? = null

The description of the datastore.

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val endpoint: Output<String>? = null

The endpoint of the server.

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val enforceSSL: Output<Boolean>? = null

This sets the ssl value of the server. Defaults to true if not set.

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val fileSystem: Output<String>? = null

The file system name of the ADLS Gen2.

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val includeSecret: Output<Boolean>? = null

Include datastore secret in response.

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val name: Output<String>? = null

The name of the datastore.

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val password: Output<String>? = null

The password.

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val port: Output<String>? = null

The port number.

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val protocol: Output<String>? = null

The protocol to be used

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val resourceGroupName: Output<String>? = null

Name of the resource group in which workspace is located.

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val resourceUrl: Output<String>? = null

Determines what operations will be performed.

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val sasToken: Output<String>? = null

Sas Token of storage account.

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val serverName: Output<String>? = null

The SQL/MySQL/PostgreSQL server name

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val shareName: Output<String>? = null

The name of the file share.

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val skipValidation: Output<Boolean>? = null

Skip validation that ensures data can be loaded from the dataset before registration.

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val storageAccountResourceGroup: Output<String>? = null

The resource group of the storage account. Defaults to selected resource group

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val storageAccountSubscriptionId: Output<String>? = null

The subscription ID of the storage account. Defaults to selected subscription

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val storeName: Output<String>? = null

The ADLS store name.

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val tenantId: Output<String>? = null

The service principal Tenant ID.

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val userId: Output<String>? = null

The user ID.

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val userName: Output<String>? = null

The username of the database user.

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val workspaceName: Output<String>? = null

Name of Azure Machine Learning workspace.

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val workspaceSystemAssignedIdentity: Output<Boolean>? = null

If set to true, datastore support data access authenticated with Workspace MSI.

Functions

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open override fun toJava(): MachineLearningDatastoreArgs