Virtual Machine Scale Sets - Redeploy

Serviço:

Compute

Versão da API:

2024-07-01

Desliga todas as máquinas virtuais no conjunto de dimensionamento de máquinas virtuais, move-as para um novo nó e liga-as novamente.

POST https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Compute/virtualMachineScaleSets/{vmScaleSetName}/redeploy?api-version=2024-07-01

Parâmetros do URI

Name	Em	Necessário	Tipo	Description
resourceGroupName	path	True	string	O nome do grupo de recursos.
subscriptionId	path	True	string	Credenciais de assinatura que identificam exclusivamente a assinatura do Microsoft Azure. O ID da assinatura faz parte do URI de cada chamada de serviço.
vmScaleSetName	path	True	string	O nome do conjunto de escala de VM.
api-version	query	True	string	Versão da API do cliente.

Corpo do Pedido

Name	Tipo	Description
instanceIds	string[]	A máquina virtual dimensiona as ids de instância do conjunto. Omitir as ids de instância do conjunto de escala da máquina virtual resultará na execução da operação em todas as máquinas virtuais do conjunto de escala da máquina virtual.

Respostas

Name	Tipo	Description
200 OK		OK
202 Accepted		Aceito
Other Status Codes	CloudError	Resposta de erro descrevendo por que a operação falhou.

Segurança

azure_auth

Azure Ative Directory OAuth2 Flow

Tipo: oauth2
Fluxo: implicit
URL de Autorização: https://login.microsoftonline.com/common/oauth2/authorize

Âmbitos

Name	Description
user_impersonation	personificar a sua conta de utilizador

Exemplos

VirtualMachineScaleSet_Redeploy_MaximumSet_Gen

VirtualMachineScaleSet_Redeploy_MinimumSet_Gen

VirtualMachineScaleSet_Redeploy_MaximumSet_Gen

Pedido de amostra

HTTP

POST https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/rgcompute/providers/Microsoft.Compute/virtualMachineScaleSets/aaaaaaaaaaaaaaaaaaaaaaaaaaaaa/redeploy?api-version=2024-07-01

{
  "instanceIds": [
    "aaaaaaaaaaaaaaaaa"
  ]
}

Java

import com.azure.resourcemanager.compute.models.VirtualMachineScaleSetVMInstanceIDs;
import java.util.Arrays;

/**
 * Samples for VirtualMachineScaleSets Redeploy.
 */
public final class Main {
    /*
     * x-ms-original-file:
     * specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-07-01/examples/
     * virtualMachineScaleSetExamples/VirtualMachineScaleSet_Redeploy_MaximumSet_Gen.json
     */
    /**
     * Sample code: VirtualMachineScaleSet_Redeploy_MaximumSet_Gen.
     * 
     * @param azure The entry point for accessing resource management APIs in Azure.
     */
    public static void
        virtualMachineScaleSetRedeployMaximumSetGen(com.azure.resourcemanager.AzureResourceManager azure) {
        azure.virtualMachines().manager().serviceClient().getVirtualMachineScaleSets().redeploy("rgcompute",
            "aaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
            new VirtualMachineScaleSetVMInstanceIDs().withInstanceIds(Arrays.asList("aaaaaaaaaaaaaaaaa")),
            com.azure.core.util.Context.NONE);
    }
}

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

Python

from azure.identity import DefaultAzureCredential

from azure.mgmt.compute import ComputeManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-compute
# USAGE
    python virtual_machine_scale_set_redeploy_maximum_set_gen.py

    Before run the sample, please set the values of the client ID, tenant ID and client secret
    of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID,
    AZURE_CLIENT_SECRET. For more info about how to get the value, please see:
    https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal
"""


def main():
    client = ComputeManagementClient(
        credential=DefaultAzureCredential(),
        subscription_id="{subscription-id}",
    )

    client.virtual_machine_scale_sets.begin_redeploy(
        resource_group_name="rgcompute",
        vm_scale_set_name="aaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
    ).result()


# x-ms-original-file: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-07-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Redeploy_MaximumSet_Gen.json
if __name__ == "__main__":
    main()

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

Go

package armcompute_test

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azcore/to"
	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"
	"github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/compute/armcompute/v6"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/069a65e8a6d1a6c0c58d9a9d97610b7103b6e8a5/specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-07-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Redeploy_MaximumSet_Gen.json
func ExampleVirtualMachineScaleSetsClient_BeginRedeploy_virtualMachineScaleSetRedeployMaximumSetGen() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := armcompute.NewClientFactory("<subscription-id>", cred, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	poller, err := clientFactory.NewVirtualMachineScaleSetsClient().BeginRedeploy(ctx, "rgcompute", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaa", &armcompute.VirtualMachineScaleSetsClientBeginRedeployOptions{VMInstanceIDs: &armcompute.VirtualMachineScaleSetVMInstanceIDs{
		InstanceIDs: []*string{
			to.Ptr("aaaaaaaaaaaaaaaaa")},
	},
	})
	if err != nil {
		log.Fatalf("failed to finish the request: %v", err)
	}
	_, err = poller.PollUntilDone(ctx, nil)
	if err != nil {
		log.Fatalf("failed to pull the result: %v", err)
	}
}

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

JavaScript

const { ComputeManagementClient } = require("@azure/arm-compute");
const { DefaultAzureCredential } = require("@azure/identity");

/**
 * This sample demonstrates how to Shuts down all the virtual machines in the virtual machine scale set, moves them to a new node, and powers them back on.
 *
 * @summary Shuts down all the virtual machines in the virtual machine scale set, moves them to a new node, and powers them back on.
 * x-ms-original-file: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-07-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Redeploy_MaximumSet_Gen.json
 */
async function virtualMachineScaleSetRedeployMaximumSetGen() {
  const subscriptionId = process.env["COMPUTE_SUBSCRIPTION_ID"] || "{subscription-id}";
  const resourceGroupName = process.env["COMPUTE_RESOURCE_GROUP"] || "rgcompute";
  const vmScaleSetName = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaa";
  const vmInstanceIDs = {
    instanceIds: ["aaaaaaaaaaaaaaaaa"],
  };
  const options = {
    vmInstanceIDs,
  };
  const credential = new DefaultAzureCredential();
  const client = new ComputeManagementClient(credential, subscriptionId);
  const result = await client.virtualMachineScaleSets.beginRedeployAndWait(
    resourceGroupName,
    vmScaleSetName,
    options,
  );
  console.log(result);
}

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

dotnet

using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.Compute.Models;
using Azure.ResourceManager.Models;
using Azure.ResourceManager.Resources.Models;
using Azure.ResourceManager.Compute;

// Generated from example definition: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-07-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Redeploy_MaximumSet_Gen.json
// this example is just showing the usage of "VirtualMachineScaleSets_Redeploy" operation, for the dependent resources, they will have to be created separately.

// get your azure access token, for more details of how Azure SDK get your access token, please refer to https://learn.microsoft.com/en-us/dotnet/azure/sdk/authentication?tabs=command-line
TokenCredential cred = new DefaultAzureCredential();
// authenticate your client
ArmClient client = new ArmClient(cred);

// this example assumes you already have this VirtualMachineScaleSetResource created on azure
// for more information of creating VirtualMachineScaleSetResource, please refer to the document of VirtualMachineScaleSetResource
string subscriptionId = "{subscription-id}";
string resourceGroupName = "rgcompute";
string virtualMachineScaleSetName = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaa";
ResourceIdentifier virtualMachineScaleSetResourceId = VirtualMachineScaleSetResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, virtualMachineScaleSetName);
VirtualMachineScaleSetResource virtualMachineScaleSet = client.GetVirtualMachineScaleSetResource(virtualMachineScaleSetResourceId);

// invoke the operation
VirtualMachineScaleSetVmInstanceIds vmInstanceIds = new VirtualMachineScaleSetVmInstanceIds
{
    InstanceIds = { "aaaaaaaaaaaaaaaaa" },
};
await virtualMachineScaleSet.RedeployAsync(WaitUntil.Completed, vmInstanceIds: vmInstanceIds);

Console.WriteLine("Succeeded");

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

Resposta da amostra

Código de estado:

200

Código de estado:

202

location: https://foo.com/operationstatus

VirtualMachineScaleSet_Redeploy_MinimumSet_Gen

Pedido de amostra

HTTP

POST https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/rgcompute/providers/Microsoft.Compute/virtualMachineScaleSets/aaaaaaaaaaaaaaaaaaaaaa/redeploy?api-version=2024-07-01

Java

/**
 * Samples for VirtualMachineScaleSets Redeploy.
 */
public final class Main {
    /*
     * x-ms-original-file:
     * specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-07-01/examples/
     * virtualMachineScaleSetExamples/VirtualMachineScaleSet_Redeploy_MinimumSet_Gen.json
     */
    /**
     * Sample code: VirtualMachineScaleSet_Redeploy_MinimumSet_Gen.
     * 
     * @param azure The entry point for accessing resource management APIs in Azure.
     */
    public static void
        virtualMachineScaleSetRedeployMinimumSetGen(com.azure.resourcemanager.AzureResourceManager azure) {
        azure.virtualMachines().manager().serviceClient().getVirtualMachineScaleSets().redeploy("rgcompute",
            "aaaaaaaaaaaaaaaaaaaaaa", null, com.azure.core.util.Context.NONE);
    }
}

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

Python

from azure.identity import DefaultAzureCredential

from azure.mgmt.compute import ComputeManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-compute
# USAGE
    python virtual_machine_scale_set_redeploy_minimum_set_gen.py

    Before run the sample, please set the values of the client ID, tenant ID and client secret
    of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID,
    AZURE_CLIENT_SECRET. For more info about how to get the value, please see:
    https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal
"""


def main():
    client = ComputeManagementClient(
        credential=DefaultAzureCredential(),
        subscription_id="{subscription-id}",
    )

    client.virtual_machine_scale_sets.begin_redeploy(
        resource_group_name="rgcompute",
        vm_scale_set_name="aaaaaaaaaaaaaaaaaaaaaa",
    ).result()


# x-ms-original-file: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-07-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Redeploy_MinimumSet_Gen.json
if __name__ == "__main__":
    main()

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

Go

package armcompute_test

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"
	"github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/compute/armcompute/v6"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/069a65e8a6d1a6c0c58d9a9d97610b7103b6e8a5/specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-07-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Redeploy_MinimumSet_Gen.json
func ExampleVirtualMachineScaleSetsClient_BeginRedeploy_virtualMachineScaleSetRedeployMinimumSetGen() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := armcompute.NewClientFactory("<subscription-id>", cred, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	poller, err := clientFactory.NewVirtualMachineScaleSetsClient().BeginRedeploy(ctx, "rgcompute", "aaaaaaaaaaaaaaaaaaaaaa", &armcompute.VirtualMachineScaleSetsClientBeginRedeployOptions{VMInstanceIDs: nil})
	if err != nil {
		log.Fatalf("failed to finish the request: %v", err)
	}
	_, err = poller.PollUntilDone(ctx, nil)
	if err != nil {
		log.Fatalf("failed to pull the result: %v", err)
	}
}

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

JavaScript

const { ComputeManagementClient } = require("@azure/arm-compute");
const { DefaultAzureCredential } = require("@azure/identity");

/**
 * This sample demonstrates how to Shuts down all the virtual machines in the virtual machine scale set, moves them to a new node, and powers them back on.
 *
 * @summary Shuts down all the virtual machines in the virtual machine scale set, moves them to a new node, and powers them back on.
 * x-ms-original-file: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-07-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Redeploy_MinimumSet_Gen.json
 */
async function virtualMachineScaleSetRedeployMinimumSetGen() {
  const subscriptionId = process.env["COMPUTE_SUBSCRIPTION_ID"] || "{subscription-id}";
  const resourceGroupName = process.env["COMPUTE_RESOURCE_GROUP"] || "rgcompute";
  const vmScaleSetName = "aaaaaaaaaaaaaaaaaaaaaa";
  const credential = new DefaultAzureCredential();
  const client = new ComputeManagementClient(credential, subscriptionId);
  const result = await client.virtualMachineScaleSets.beginRedeployAndWait(
    resourceGroupName,
    vmScaleSetName,
  );
  console.log(result);
}

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

dotnet

using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.Compute.Models;
using Azure.ResourceManager.Models;
using Azure.ResourceManager.Resources.Models;
using Azure.ResourceManager.Compute;

// Generated from example definition: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-07-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Redeploy_MinimumSet_Gen.json
// this example is just showing the usage of "VirtualMachineScaleSets_Redeploy" operation, for the dependent resources, they will have to be created separately.

// get your azure access token, for more details of how Azure SDK get your access token, please refer to https://learn.microsoft.com/en-us/dotnet/azure/sdk/authentication?tabs=command-line
TokenCredential cred = new DefaultAzureCredential();
// authenticate your client
ArmClient client = new ArmClient(cred);

// this example assumes you already have this VirtualMachineScaleSetResource created on azure
// for more information of creating VirtualMachineScaleSetResource, please refer to the document of VirtualMachineScaleSetResource
string subscriptionId = "{subscription-id}";
string resourceGroupName = "rgcompute";
string virtualMachineScaleSetName = "aaaaaaaaaaaaaaaaaaaaaa";
ResourceIdentifier virtualMachineScaleSetResourceId = VirtualMachineScaleSetResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, virtualMachineScaleSetName);
VirtualMachineScaleSetResource virtualMachineScaleSet = client.GetVirtualMachineScaleSetResource(virtualMachineScaleSetResourceId);

// invoke the operation
await virtualMachineScaleSet.RedeployAsync(WaitUntil.Completed);

Console.WriteLine("Succeeded");

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

Resposta da amostra

Código de estado:

200

Código de estado:

202

location: https://foo.com/operationstatus

Definições

Name	Description
ApiError	Erro de api.
ApiErrorBase	Base de erro da api.
CloudError	Uma resposta de erro do serviço de computação.
InnerError	Detalhes do erro interno.
VirtualMachineScaleSetVMInstanceIDs	Especifica uma lista de IDs de instância de máquina virtual do conjunto de escala de VM.

ApiError

Erro de api.

Name	Tipo	Description
code	string	O código de erro.
details	ApiErrorBase[]	Os detalhes do erro Api
innererror	InnerError	O erro interno da Api
message	string	A mensagem de erro.
target	string	O alvo do erro específico.

ApiErrorBase

Base de erro da api.

Name	Tipo	Description
code	string	O código de erro.
message	string	A mensagem de erro.
target	string	O alvo do erro específico.

CloudError

Uma resposta de erro do serviço de computação.

Name	Tipo	Description
error	ApiError	Erro de api.

InnerError

Detalhes do erro interno.

Name	Tipo	Description
errordetail	string	A mensagem de erro interna ou despejo de exceção.
exceptiontype	string	O tipo de exceção.

VirtualMachineScaleSetVMInstanceIDs

Especifica uma lista de IDs de instância de máquina virtual do conjunto de escala de VM.

Name	Tipo	Description
instanceIds	string[]	A máquina virtual dimensiona as ids de instância do conjunto. Omitir as ids de instância do conjunto de escala da máquina virtual resultará na execução da operação em todas as máquinas virtuais do conjunto de escala da máquina virtual.