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

BatchDeploymentArgs

data class BatchDeploymentArgs(val deploymentName: Output<String>? = null, val endpointName: Output<String>? = null, val identity: Output<ResourceIdentityArgs>? = null, val kind: Output<String>? = null, val location: Output<String>? = null, val properties: Output<BatchDeploymentArgs>? = null, val resourceGroupName: Output<String>? = null, val tags: Output<Map<String, String>>? = null, val workspaceName: Output<String>? = null) : ConvertibleToJava<BatchDeploymentArgs>

API Version: 2021-03-01-preview.

Example Usage

CreateOrUpdate Batch Deployment.

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var batchDeployment = new AzureNative.MachineLearningServices.BatchDeployment("batchDeployment", new()
    {
        DeploymentName = "testBatchDeployment",
        EndpointName = "testBatchEndpoint",
        Identity = new AzureNative.MachineLearningServices.Inputs.ResourceIdentityArgs
        {
            Type = "UserAssigned",
            UserAssignedIdentities =
            {
                { "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity", new AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityMetaArgs
                {
                    ClientId = "string",
                    PrincipalId = "string",
                } },
            },
        },
        Kind = "string",
        Location = "string",
        Properties = new AzureNative.MachineLearningServices.Inputs.BatchDeploymentArgs
        {
            CodeConfiguration = new AzureNative.MachineLearningServices.Inputs.CodeConfigurationArgs
            {
                CodeId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/testcode/versions/1",
                ScoringScript = "score.py",
            },
            Compute = new AzureNative.MachineLearningServices.Inputs.ComputeConfigurationArgs
            {
                InstanceCount = 0,
                InstanceType = "string",
                IsLocal = false,
                Location = "string",
                Properties =
                {
                    { "additionalProp1", "string" },
                    { "additionalProp2", "string" },
                    { "additionalProp3", "string" },
                },
                Target = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/testcompute",
            },
            Description = "string",
            EnvironmentId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/myenv",
            EnvironmentVariables =
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            ErrorThreshold = 0,
            LoggingLevel = "Info",
            MiniBatchSize = 0,
            Model = new AzureNative.MachineLearningServices.Inputs.IdAssetReferenceArgs
            {
                AssetId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/testmodel/versions/1",
                ReferenceType = "Id",
            },
            OutputConfiguration = new AzureNative.MachineLearningServices.Inputs.BatchOutputConfigurationArgs
            {
                AppendRowFileName = "string",
                OutputAction = "SummaryOnly",
            },
            PartitionKeys = new[]
            {
                "string",
            },
            Properties =
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            RetrySettings = new AzureNative.MachineLearningServices.Inputs.BatchRetrySettingsArgs
            {
                MaxRetries = 0,
                Timeout = "PT1M",
            },
        },
        ResourceGroupName = "resourceGroup-1234",
        Tags =
        {
            { "additionalProp1", "string" },
            { "additionalProp2", "string" },
            { "additionalProp3", "string" },
        },
        WorkspaceName = "testworkspace",
    });
});
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package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewBatchDeployment(ctx, "batchDeployment", &machinelearningservices.BatchDeploymentArgs{
			DeploymentName: pulumi.String("testBatchDeployment"),
			EndpointName:   pulumi.String("testBatchEndpoint"),
			Identity: machinelearningservices.ResourceIdentityResponse{
				Type: pulumi.String("UserAssigned"),
				UserAssignedIdentities: machinelearningservices.UserAssignedIdentityMetaMap{
					"/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity": &machinelearningservices.UserAssignedIdentityMetaArgs{
						ClientId:    pulumi.String("string"),
						PrincipalId: pulumi.String("string"),
					},
				},
			},
			Kind:     pulumi.String("string"),
			Location: pulumi.String("string"),
			Properties: machinelearningservices.BatchDeploymentResponse{
				CodeConfiguration: &machinelearningservices.CodeConfigurationArgs{
					CodeId:        pulumi.String("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/testcode/versions/1"),
					ScoringScript: pulumi.String("score.py"),
				},
				Compute: &machinelearningservices.ComputeConfigurationArgs{
					InstanceCount: pulumi.Int(0),
					InstanceType:  pulumi.String("string"),
					IsLocal:       pulumi.Bool(false),
					Location:      pulumi.String("string"),
					Properties: pulumi.StringMap{
						"additionalProp1": pulumi.String("string"),
						"additionalProp2": pulumi.String("string"),
						"additionalProp3": pulumi.String("string"),
					},
					Target: pulumi.String("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/testcompute"),
				},
				Description:   pulumi.String("string"),
				EnvironmentId: pulumi.String("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/myenv"),
				EnvironmentVariables: pulumi.StringMap{
					"additionalProp1": pulumi.String("string"),
					"additionalProp2": pulumi.String("string"),
					"additionalProp3": pulumi.String("string"),
				},
				ErrorThreshold: pulumi.Int(0),
				LoggingLevel:   pulumi.String("Info"),
				MiniBatchSize:  pulumi.Float64(0),
				Model: machinelearningservices.IdAssetReference{
					AssetId:       "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/testmodel/versions/1",
					ReferenceType: "Id",
				},
				OutputConfiguration: &machinelearningservices.BatchOutputConfigurationArgs{
					AppendRowFileName: pulumi.String("string"),
					OutputAction:      pulumi.String("SummaryOnly"),
				},
				PartitionKeys: pulumi.StringArray{
					pulumi.String("string"),
				},
				Properties: pulumi.StringMap{
					"additionalProp1": pulumi.String("string"),
					"additionalProp2": pulumi.String("string"),
					"additionalProp3": pulumi.String("string"),
				},
				RetrySettings: &machinelearningservices.BatchRetrySettingsArgs{
					MaxRetries: pulumi.Int(0),
					Timeout:    pulumi.String("PT1M"),
				},
			},
			ResourceGroupName: pulumi.String("resourceGroup-1234"),
			Tags: pulumi.StringMap{
				"additionalProp1": pulumi.String("string"),
				"additionalProp2": pulumi.String("string"),
				"additionalProp3": pulumi.String("string"),
			},
			WorkspaceName: pulumi.String("testworkspace"),
		})
		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.BatchDeployment;
import com.pulumi.azurenative.machinelearningservices.BatchDeploymentArgs;
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 batchDeployment = new BatchDeployment("batchDeployment", BatchDeploymentArgs.builder()
            .deploymentName("testBatchDeployment")
            .endpointName("testBatchEndpoint")
            .identity(Map.ofEntries(
                Map.entry("type", "UserAssigned"),
                Map.entry("userAssignedIdentities", Map.of("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity", Map.ofEntries(
                    Map.entry("clientId", "string"),
                    Map.entry("principalId", "string")
                )))
            ))
            .kind("string")
            .location("string")
            .properties(Map.ofEntries(
                Map.entry("codeConfiguration", Map.ofEntries(
                    Map.entry("codeId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/testcode/versions/1"),
                    Map.entry("scoringScript", "score.py")
                )),
                Map.entry("compute", Map.ofEntries(
                    Map.entry("instanceCount", 0),
                    Map.entry("instanceType", "string"),
                    Map.entry("isLocal", false),
                    Map.entry("location", "string"),
                    Map.entry("properties", Map.ofEntries(
                        Map.entry("additionalProp1", "string"),
                        Map.entry("additionalProp2", "string"),
                        Map.entry("additionalProp3", "string")
                    )),
                    Map.entry("target", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/testcompute")
                )),
                Map.entry("description", "string"),
                Map.entry("environmentId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/myenv"),
                Map.entry("environmentVariables", Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                )),
                Map.entry("errorThreshold", 0),
                Map.entry("loggingLevel", "Info"),
                Map.entry("miniBatchSize", 0),
                Map.entry("model", Map.ofEntries(
                    Map.entry("assetId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/testmodel/versions/1"),
                    Map.entry("referenceType", "Id")
                )),
                Map.entry("outputConfiguration", Map.ofEntries(
                    Map.entry("appendRowFileName", "string"),
                    Map.entry("outputAction", "SummaryOnly")
                )),
                Map.entry("partitionKeys", "string"),
                Map.entry("properties", Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                )),
                Map.entry("retrySettings", Map.ofEntries(
                    Map.entry("maxRetries", 0),
                    Map.entry("timeout", "PT1M")
                ))
            ))
            .resourceGroupName("resourceGroup-1234")
            .tags(Map.ofEntries(
                Map.entry("additionalProp1", "string"),
                Map.entry("additionalProp2", "string"),
                Map.entry("additionalProp3", "string")
            ))
            .workspaceName("testworkspace")
            .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:BatchDeployment testBatchDeployment /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/batchEndpoints/testBatchEndpoint/deployments/testBatchDeployment
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Constructors

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constructor(deploymentName: Output<String>? = null, endpointName: Output<String>? = null, identity: Output<ResourceIdentityArgs>? = null, kind: Output<String>? = null, location: Output<String>? = null, properties: Output<BatchDeploymentArgs>? = null, resourceGroupName: Output<String>? = null, tags: Output<Map<String, String>>? = null, workspaceName: Output<String>? = null)

Properties

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val deploymentName: Output<String>? = null

The identifier for the Batch inference deployment.

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val endpointName: Output<String>? = null

Inference endpoint name

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val identity: Output<ResourceIdentityArgs>? = null

Service identity associated with a resource.

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val kind: Output<String>? = null

Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.

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val location: Output<String>? = null

The geo-location where the resource lives

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val properties: Output<BatchDeploymentArgs>? = null

Required Additional attributes of the entity.

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val resourceGroupName: Output<String>? = null

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

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val tags: Output<Map<String, String>>? = null

Resource tags.

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val workspaceName: Output<String>? = null

Name of Azure Machine Learning workspace.

Functions

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open override fun toJava(): BatchDeploymentArgs