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Azure v6.10.0 published on Tuesday, Nov 19, 2024 by Pulumi
azure.machinelearning.getWorkspace
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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.