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

DataContainer

class DataContainer : KotlinCustomResource

Azure Resource Manager resource envelope. Uses Azure REST API version 2024-10-01. In version 2.x of the Azure Native provider, it used API version 2023-04-01. Other available API versions: 2021-03-01-preview, 2022-02-01-preview, 2022-05-01, 2022-06-01-preview, 2022-10-01, 2022-10-01-preview, 2022-12-01-preview, 2023-02-01-preview, 2023-04-01, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-07-01-preview, 2024-10-01-preview, 2025-01-01-preview. These can be accessed by generating a local SDK package using the CLI command pulumi package add azure-native machinelearningservices [ApiVersion]. See the ../../../version-guide/#accessing-any-api-version-via-local-packages for details.

Example Usage

CreateOrUpdate Workspace Data Container.

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var dataContainer = new AzureNative.MachineLearningServices.DataContainer("dataContainer", new()
    {
        DataContainerProperties = new AzureNative.MachineLearningServices.Inputs.DataContainerArgs
        {
            DataType = "UriFile",
            Description = "string",
            Properties =
            {
                { "properties1", "value1" },
                { "properties2", "value2" },
            },
            Tags =
            {
                { "tag1", "value1" },
                { "tag2", "value2" },
            },
        },
        Name = "datacontainer123",
        ResourceGroupName = "testrg123",
        WorkspaceName = "workspace123",
    });
});

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.NewDataContainer(ctx, "dataContainer", &machinelearningservices.DataContainerArgs{
			DataContainerProperties: &machinelearningservices.DataContainerTypeArgs{
				DataType:    pulumi.String("UriFile"),
				Description: pulumi.String("string"),
				Properties: pulumi.StringMap{
					"properties1": pulumi.String("value1"),
					"properties2": pulumi.String("value2"),
				},
				Tags: pulumi.StringMap{
					"tag1": pulumi.String("value1"),
					"tag2": pulumi.String("value2"),
				},
			},
			Name:              pulumi.String("datacontainer123"),
			ResourceGroupName: pulumi.String("testrg123"),
			WorkspaceName:     pulumi.String("workspace123"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.DataContainer;
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 dataContainer = new DataContainer("dataContainer", DataContainerArgs.builder()
            .dataContainerProperties(DataContainerArgs.builder()
                .dataType("UriFile")
                .description("string")
                .properties(Map.ofEntries(
                    Map.entry("properties1", "value1"),
                    Map.entry("properties2", "value2")
                ))
                .tags(Map.ofEntries(
                    Map.entry("tag1", "value1"),
                    Map.entry("tag2", "value2")
                ))
                .build())
            .name("datacontainer123")
            .resourceGroupName("testrg123")
            .workspaceName("workspace123")
            .build());
    }
}

Import

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

$ pulumi import azure-native:machinelearningservices:DataContainer datacontainer123 /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/data/{name}