Virtual Machine Scale Sets - Redeploy

Serviço:

Compute

Versão da API:

2022-03-01

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

HTTP

POST https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Compute/virtualMachineScaleSets/{vmScaleSetName}/redeploy?api-version=2022-03-01

Parâmetros de URI

Nome	Em	Obrigatório	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. A ID da assinatura faz parte do URI para cada chamada de serviço.
vmScaleSetName	path	True	string	O nome do conjunto de dimensionamento da VM.
api-version	query	True	string	Versão da API do cliente.

Corpo da solicitação

Nome	Tipo	Description
instanceIds	string[]	As IDs da instância do conjunto de dimensionamento de máquinas virtuais. Omitir as IDs da instância do conjunto de dimensionamento de máquinas virtuais resultará na operação sendo executada em todas as máquinas virtuais no conjunto de dimensionamento de máquinas virtuais.

Respostas

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

Segurança

azure_auth

Fluxo do OAuth2 do Azure Active Directory

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

Escopos

Nome	Description
user_impersonation	representar sua conta de usuário

Exemplos

VirtualMachineScaleSets_Redeploy_MaximumSet_Gen

VirtualMachineScaleSets_Redeploy_MinimumSet_Gen

VirtualMachineScaleSets_Redeploy_MaximumSet_Gen

Solicitação de exemplo

HTTP

HTTP

POST https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/rgcompute/providers/Microsoft.Compute/virtualMachineScaleSets/aaaaaaaaaaaaaaaaaaaaaaaaaaaaa/redeploy?api-version=2022-03-01

{
  "instanceIds": [
    "aaaaaaaaaaaaaaaaa"
  ]
}

Java

Java

import com.azure.core.util.Context;
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/2022-03-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSets_Redeploy_MaximumSet_Gen.json
     */
    /**
     * Sample code: VirtualMachineScaleSets_Redeploy_MaximumSet_Gen.
     *
     * @param azure The entry point for accessing resource management APIs in Azure.
     */
    public static void virtualMachineScaleSetsRedeployMaximumSetGen(
        com.azure.resourcemanager.AzureResourceManager azure) {
        azure
            .virtualMachines()
            .manager()
            .serviceClient()
            .getVirtualMachineScaleSets()
            .redeploy(
                "rgcompute",
                "aaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
                new VirtualMachineScaleSetVMInstanceIDs().withInstanceIds(Arrays.asList("aaaaaaaaaaaaaaaaa")),
                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

Go

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/v3"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/tree/main/specification/compute/resource-manager/Microsoft.Compute/stable/2022-03-01/ComputeRP/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSets_Redeploy_MaximumSet_Gen.json
func ExampleVirtualMachineScaleSetsClient_BeginRedeploy() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	client, err := armcompute.NewVirtualMachineScaleSetsClient("{subscription-id}", cred, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	poller, err := client.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

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/stable/2022-03-01/ComputeRP/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSets_Redeploy_MaximumSet_Gen.json
 */
async function virtualMachineScaleSetsRedeployMaximumSetGen() {
  const subscriptionId = "{subscription-id}";
  const resourceGroupName = "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);
}

virtualMachineScaleSetsRedeployMaximumSetGen().catch(console.error);

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

dotnet

C#

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

// Generated from example definition: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2022-03-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSets_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.

// authenticate your client
ArmClient client = new ArmClient(new DefaultAzureCredential());

// 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 de exemplo

Código de status:

200

Código de status:

202

HTTP

location: https://foo.com/operationstatus

VirtualMachineScaleSets_Redeploy_MinimumSet_Gen

Solicitação de exemplo

HTTP

HTTP

POST https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/rgcompute/providers/Microsoft.Compute/virtualMachineScaleSets/aaaaaaaaaaaaaaaaaaaaaa/redeploy?api-version=2022-03-01

Java

Java

import com.azure.core.util.Context;

/** Samples for VirtualMachineScaleSets Redeploy. */
public final class Main {
    /*
     * x-ms-original-file: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2022-03-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSets_Redeploy_MinimumSet_Gen.json
     */
    /**
     * Sample code: VirtualMachineScaleSets_Redeploy_MinimumSet_Gen.
     *
     * @param azure The entry point for accessing resource management APIs in Azure.
     */
    public static void virtualMachineScaleSetsRedeployMinimumSetGen(
        com.azure.resourcemanager.AzureResourceManager azure) {
        azure
            .virtualMachines()
            .manager()
            .serviceClient()
            .getVirtualMachineScaleSets()
            .redeploy("rgcompute", "aaaaaaaaaaaaaaaaaaaaaa", null, 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

Go

No code sample is available. To request a code sample, open a GitHub issue

JavaScript

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/stable/2022-03-01/ComputeRP/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSets_Redeploy_MinimumSet_Gen.json
 */
async function virtualMachineScaleSetsRedeployMinimumSetGen() {
  const subscriptionId = "{subscription-id}";
  const resourceGroupName = "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);
}

virtualMachineScaleSetsRedeployMinimumSetGen().catch(console.error);

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

dotnet

C#

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

// Generated from example definition: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2022-03-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSets_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.

// authenticate your client
ArmClient client = new ArmClient(new DefaultAzureCredential());

// 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 de exemplo

Código de status:

200

Código de status:

202

HTTP

location: https://foo.com/operationstatus

Definições

Nome	Description
ApiError	Erro de API.
ApiErrorBase	Base de erros de 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 dimensionamento de VMs.

ApiError

Erro de API.

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

ApiErrorBase

Base de erros de API.

Nome	Tipo	Description
code	string	O código de erro.
message	string	A mensagem de erro.
target	string	O destino do erro específico.

CloudError

Uma resposta de erro do serviço de computação.

Nome	Tipo	Description
error	ApiError	Erro de API.

InnerError

Detalhes do erro interno.

Nome	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 dimensionamento de VMs.

Nome	Tipo	Description
instanceIds	string[]	As IDs da instância do conjunto de dimensionamento de máquinas virtuais. Omitir as IDs da instância do conjunto de dimensionamento de máquinas virtuais resultará na operação sendo executada em todas as máquinas virtuais no conjunto de dimensionamento de máquinas virtuais.