We recommend using Azure Native.
Azure Classic v6.2.0 published on Friday, Sep 27, 2024 by Pulumi
azure.machinelearning.getWorkspace
Explore with Pulumi AI
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)
// Output-based functions aren't available in Java yet
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.
- Resource
Group stringName - The name of the Resource Group where the Machine Learning Workspace exists.
- Name string
- The name of the Machine Learning Workspace exists.
- Resource
Group stringName - The name of the Resource Group where the Machine Learning Workspace exists.
- name String
- The name of the Machine Learning Workspace exists.
- resource
Group StringName - The name of the Resource Group where the Machine Learning Workspace exists.
- name string
- The name of the Machine Learning Workspace exists.
- resource
Group stringName - The name of the Resource Group where the Machine Learning Workspace exists.
- name str
- The name of the Machine Learning Workspace exists.
- resource_
group_ strname - The name of the Resource Group where the Machine Learning Workspace exists.
- name String
- The name of the Machine Learning Workspace exists.
- resource
Group StringName - 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<Get
Workspace Identity> - An
identity
block as defined below. - Location string
- The location where the Machine Learning Workspace exists.
- Name string
- Resource
Group stringName - 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
[]Get
Workspace Identity - An
identity
block as defined below. - Location string
- The location where the Machine Learning Workspace exists.
- Name string
- Resource
Group stringName - 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<Get
Workspace Identity> - An
identity
block as defined below. - location String
- The location where the Machine Learning Workspace exists.
- name String
- resource
Group StringName - 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
Get
Workspace Identity[] - An
identity
block as defined below. - location string
- The location where the Machine Learning Workspace exists.
- name string
- resource
Group stringName - {[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[Get
Workspace Identity] - An
identity
block as defined below. - location str
- The location where the Machine Learning Workspace exists.
- name str
- resource_
group_ strname - 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
- resource
Group StringName - Map<String>
- A mapping of tags assigned to the Machine Learning Workspace.
Supporting Types
GetWorkspaceIdentity
- Identity
Ids List<string> - A list of User Assigned Identity IDs assigned to this Machine Learning Workspace.
- Principal
Id string - The Principal ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
- Tenant
Id 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 []string - A list of User Assigned Identity IDs assigned to this Machine Learning Workspace.
- Principal
Id string - The Principal ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
- Tenant
Id 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 List<String> - A list of User Assigned Identity IDs assigned to this Machine Learning Workspace.
- principal
Id String - The Principal ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
- tenant
Id 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 string[] - A list of User Assigned Identity IDs assigned to this Machine Learning Workspace.
- principal
Id string - The Principal ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
- tenant
Id 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.
- identity
Ids List<String> - A list of User Assigned Identity IDs assigned to this Machine Learning Workspace.
- principal
Id String - The Principal ID of the System Assigned Managed Identity assigned to this Machine Learning Workspace.
- tenant
Id 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.