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  5. getWorkspace

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Azure v6.21.0 published on Friday, Mar 7, 2025 by Pulumi
pulumi/pulumi-azure

azure.machinelearning.getWorkspace

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We recommend using Azure Native.

Azure v6.21.0 published on Friday, Mar 7, 2025 by Pulumi
pulumi/pulumi-azure

    Use this data source to access information about an existing Machine Learning Workspace.

    Example Usage

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

const existing = azure.machinelearning.getWorkspace({
    name: "example-workspace",
    resourceGroupName: "example-resources",
});
export const id = existingAzurermMachineLearningWorkspace.id;

    import pulumi
import pulumi_azure as azure

existing = azure.machinelearning.get_workspace(name="example-workspace",
    resource_group_name="example-resources")
pulumi.export("id", existing_azurerm_machine_learning_workspace["id"])

    package main

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

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearning.LookupWorkspace(ctx, &machinelearning.LookupWorkspaceArgs{
			Name:              "example-workspace",
			ResourceGroupName: "example-resources",
		}, nil)
		if err != nil {
			return err
		}
		ctx.Export("id", existingAzurermMachineLearningWorkspace.Id)
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var existing = Azure.MachineLearning.GetWorkspace.Invoke(new()
    {
        Name = "example-workspace",
        ResourceGroupName = "example-resources",
    });

    return new Dictionary<string, object?>
    {
        ["id"] = existingAzurermMachineLearningWorkspace.Id,
    };
});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.machinelearning.MachinelearningFunctions;
import com.pulumi.azure.machinelearning.inputs.GetWorkspaceArgs;
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 existing = MachinelearningFunctions.getWorkspace(GetWorkspaceArgs.builder()
            .name("example-workspace")
            .resourceGroupName("example-resources")
            .build());

        ctx.export("id", existingAzurermMachineLearningWorkspace.id());
    }
}

    variables:
  existing:
    fn::invoke:
      function: azure:machinelearning:getWorkspace
      arguments:
        name: example-workspace
        resourceGroupName: example-resources
outputs:
  id: ${existingAzurermMachineLearningWorkspace.id}

    Using getWorkspace

    Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

    function getWorkspace(args: GetWorkspaceArgs, opts?: InvokeOptions): Promise<GetWorkspaceResult>
function getWorkspaceOutput(args: GetWorkspaceOutputArgs, opts?: InvokeOptions): Output<GetWorkspaceResult>
    def get_workspace(name: Optional[str] = None,
                  resource_group_name: Optional[str] = None,
                  opts: Optional[InvokeOptions] = None) -> GetWorkspaceResult
def get_workspace_output(name: Optional[pulumi.Input[str]] = None,
                  resource_group_name: Optional[pulumi.Input[str]] = None,
                  opts: Optional[InvokeOptions] = None) -> Output[GetWorkspaceResult]
    func LookupWorkspace(ctx *Context, args *LookupWorkspaceArgs, opts ...InvokeOption) (*LookupWorkspaceResult, error)
func LookupWorkspaceOutput(ctx *Context, args *LookupWorkspaceOutputArgs, opts ...InvokeOption) LookupWorkspaceResultOutput

    > Note: This function is named LookupWorkspace in the Go SDK.

    public static class GetWorkspace 
{
    public static Task<GetWorkspaceResult> InvokeAsync(GetWorkspaceArgs args, InvokeOptions? opts = null)
    public static Output<GetWorkspaceResult> Invoke(GetWorkspaceInvokeArgs args, InvokeOptions? opts = null)
}
    public static CompletableFuture<GetWorkspaceResult> getWorkspace(GetWorkspaceArgs args, InvokeOptions options)
public static Output<GetWorkspaceResult> getWorkspace(GetWorkspaceArgs args, InvokeOptions options)

    fn::invoke:
  function: azure:machinelearning/getWorkspace:getWorkspace
  arguments:
    # arguments dictionary

    The following arguments are supported:

    Name string
    The name of the Machine Learning Workspace exists.
    ResourceGroupName string
    The name of the Resource Group where the Machine Learning Workspace exists.
    Name string
    The name of the Machine Learning Workspace exists.
    ResourceGroupName string
    The name of the Resource Group where the Machine Learning Workspace exists.
    name String
    The name of the Machine Learning Workspace exists.
    resourceGroupName String
    The name of the Resource Group where the Machine Learning Workspace exists.
    name string
    The name of the Machine Learning Workspace exists.
    resourceGroupName string
    The name of the Resource Group where the Machine Learning Workspace exists.
    name str
    The name of the Machine Learning Workspace exists.
    resource_group_name str
    The name of the Resource Group where the Machine Learning Workspace exists.
    name String
    The name of the Machine Learning Workspace exists.
    resourceGroupName String
    The name of the Resource Group where the Machine Learning Workspace exists.

    getWorkspace Result

    The following output properties are available:

    Id string
    The provider-assigned unique ID for this managed resource.
    Identities List<GetWorkspaceIdentity>
    An identity block as defined below.
    Location string
    The location where the Machine Learning Workspace exists.
    Name string
    ResourceGroupName string
    Tags Dictionary<string, string>
    A mapping of tags assigned to the Machine Learning Workspace.
    Id string
    The provider-assigned unique ID for this managed resource.
    Identities []GetWorkspaceIdentity
    An identity block as defined below.
    Location string
    The location where the Machine Learning Workspace exists.
    Name string
    ResourceGroupName string
    Tags map[string]string
    A mapping of tags assigned to the Machine Learning Workspace.
    id String
    The provider-assigned unique ID for this managed resource.
    identities List<GetWorkspaceIdentity>
    An identity block as defined below.
    location String
    The location where the Machine Learning Workspace exists.
    name String
    resourceGroupName String
    tags Map<String,String>
    A mapping of tags assigned to the Machine Learning Workspace.
    id string
    The provider-assigned unique ID for this managed resource.
    identities GetWorkspaceIdentity[]
    An identity block as defined below.
    location string
    The location where the Machine Learning Workspace exists.
    name string
    resourceGroupName string
    tags {[key: string]: string}
    A mapping of tags assigned to the Machine Learning Workspace.
    id str
    The provider-assigned unique ID for this managed resource.
    identities Sequence[GetWorkspaceIdentity]
    An identity block as defined below.
    location str
    The location where the Machine Learning Workspace exists.
    name str
    resource_group_name str
    tags Mapping[str, str]
    A mapping of tags assigned to the Machine Learning Workspace.
    id String
    The provider-assigned unique ID for this managed resource.
    identities List<Property Map>
    An identity block as defined below.
    location String
    The location where the Machine Learning Workspace exists.
    name String
    resourceGroupName String
    tags Map<String>
    A mapping of tags assigned to the Machine Learning Workspace.

    Supporting Types

    GetWorkspaceIdentity

    IdentityIds List<string>
    A list of User Assigned Identity IDs assigned to this Machine Learning Workspace.
    PrincipalId string
    The Principal ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    TenantId string
    The Tenant ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    Type string
    The Type of Managed Identity assigned to this Machine Learning Workspace.
    IdentityIds []string
    A list of User Assigned Identity IDs assigned to this Machine Learning Workspace.
    PrincipalId string
    The Principal ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    TenantId string
    The Tenant ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    Type string
    The Type of Managed Identity assigned to this Machine Learning Workspace.
    identityIds List<String>
    A list of User Assigned Identity IDs assigned to this Machine Learning Workspace.
    principalId String
    The Principal ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    tenantId String
    The Tenant ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    type String
    The Type of Managed Identity assigned to this Machine Learning Workspace.
    identityIds string[]
    A list of User Assigned Identity IDs assigned to this Machine Learning Workspace.
    principalId string
    The Principal ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    tenantId string
    The Tenant ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    type string
    The Type of Managed Identity assigned to this Machine Learning Workspace.
    identity_ids Sequence[str]
    A list of User Assigned Identity IDs assigned to this Machine Learning Workspace.
    principal_id str
    The Principal ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    tenant_id str
    The Tenant ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    type str
    The Type of Managed Identity assigned to this Machine Learning Workspace.
    identityIds List<String>
    A list of User Assigned Identity IDs assigned to this Machine Learning Workspace.
    principalId String
    The Principal ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    tenantId String
    The Tenant ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
    type String
    The Type of Managed Identity assigned to this Machine Learning Workspace.

    Package Details

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

    We recommend using Azure Native.

    Azure v6.21.0 published on Friday, Mar 7, 2025 by Pulumi
    pulumi/pulumi-azure