停止和重启虚拟机

本文档介绍如何手动停止和重启虚拟机实例，以及如何重置或重新启动虚拟机。

  • 如果您不再使用虚拟机或者想要修改其一个或多个属性，请停止该虚拟机；例如，如果要重命名虚拟机、更改其机器类型、添加或移除挂接的磁盘，或者更改满足最低要求的 CPU 平台。停止虚拟机后，请通过重启恢复工作负载；如果您不再需要虚拟机，请将其删除。

  • 重置虚拟机，例如虚拟机无响应或客机操作系统 (OS) 崩溃。重置虚拟机后，您可以恢复工作负载。

  • 例如，如果要擦除虚拟机的内存并将其重新初始化为原始启动状态，请从客机操作系统中重新启动虚拟机。从客机操作系统内部重新启动虚拟机后，您可以恢复工作负载。

准备工作

  • 设置身份验证（如果尚未设置）。身份验证是通过其进行身份验证以访问 Google Cloud 服务和 API 的过程。如需从本地开发环境运行代码或示例，您可以按如下方式向 Compute Engine 进行身份验证。

    Select the tab for how you plan to use the samples on this page:

    Console

    When you use the Google Cloud console to access Google Cloud services and APIs, you don't need to set up authentication.

    gcloud

    1. Install the Google Cloud CLI, then initialize it by running the following command: 

      gcloud init
    2. Set a default region and zone.

      3. Go

      如需在本地开发环境中使用本页面上的 Go 示例，请安装并初始化 gcloud CLI，然后使用您的用户凭据设置应用默认凭据。

      1. Install the Google Cloud CLI.

      2. To initialize the gcloud CLI, run the following command: 

        gcloud init

      3. If you're using a local shell, then create local authentication credentials for your user account: 

        gcloud auth application-default login

        You don't need to do this if you're using Cloud Shell.

      如需了解详情，请参阅 Set up authentication for a local development environment。

      Java

      如需在本地开发环境中使用本页面上的 Java 示例，请安装并初始化 gcloud CLI，然后使用您的用户凭据设置应用默认凭据。

      1. Install the Google Cloud CLI.

      2. To initialize the gcloud CLI, run the following command: 

        gcloud init

      3. If you're using a local shell, then create local authentication credentials for your user account: 

        gcloud auth application-default login

        You don't need to do this if you're using Cloud Shell.

      如需了解详情，请参阅 Set up authentication for a local development environment。

      Node.js

      如需在本地开发环境中使用本页面上的 Node.js 示例，请安装并初始化 gcloud CLI，然后使用您的用户凭据设置应用默认凭据。

      1. Install the Google Cloud CLI.

      2. To initialize the gcloud CLI, run the following command: 

        gcloud init

      3. If you're using a local shell, then create local authentication credentials for your user account: 

        gcloud auth application-default login

        You don't need to do this if you're using Cloud Shell.

      如需了解详情，请参阅 Set up authentication for a local development environment。

      PHP

      如需在本地开发环境中使用本页面上的 PHP 示例，请安装并初始化 gcloud CLI，然后使用您的用户凭据设置应用默认凭据。

      1. Install the Google Cloud CLI.

      2. To initialize the gcloud CLI, run the following command: 

        gcloud init

      3. If you're using a local shell, then create local authentication credentials for your user account: 

        gcloud auth application-default login

        You don't need to do this if you're using Cloud Shell.

      如需了解详情，请参阅 Set up authentication for a local development environment。

      Python

      如需在本地开发环境中使用本页面上的 Python 示例，请安装并初始化 gcloud CLI，然后使用您的用户凭据设置应用默认凭据。

      1. Install the Google Cloud CLI.

      2. To initialize the gcloud CLI, run the following command: 

        gcloud init

      3. If you're using a local shell, then create local authentication credentials for your user account: 

        gcloud auth application-default login

        You don't need to do this if you're using Cloud Shell.

      如需了解详情，请参阅 Set up authentication for a local development environment。

      REST

      如需在本地开发环境中使用本页面上的 REST API 示例，请使用您提供给 gcloud CLI 的凭据。

        Install the Google Cloud CLI, then initialize it by running the following command: 

        gcloud init

      如需了解详情，请参阅 Google Cloud 身份验证文档中的使用 REST 时进行身份验证。

所需的角色

如需获得停止和重启虚拟机所需的权限，请让管理员向您授予项目的 Compute Instance Admin (v1) (roles/compute.instanceAdmin.v1) IAM 角色。 如需详细了解如何授予角色，请参阅管理访问权限。

此预定义角色包含停止和重启虚拟机所需的权限。如需查看所需的确切权限，请展开所需权限部分：

所需权限

如需停止和重启虚拟机，您需要具备以下权限：

  • 停止虚拟机：虚拟机的 compute.instances.stop 权限
  • 从客机操作系统内部停止虚拟机：虚拟机的 compute.instances.setMetadata 权限（如果虚拟机使用实例级 SSH 公钥）。
  • 重启虚拟机：虚拟机的 compute.instances.start 权限
  • 重启使用加密密钥的虚拟机：虚拟机的 compute.instances.startWithEncryptionKey 权限
  • 重置虚拟机：虚拟机的 compute.instances.reset 权限
  • 如需从客机操作系统内部重新启动虚拟机：虚拟机的 compute.instances.setMetadata 权限

您也可以使用自定义角色或其他预定义角色来获取这些权限。

停止虚拟机

停止正在运行的虚拟机时，会发生以下情况：

  1. Compute Engine 会将 ACPI 关停信号发送到虚拟机，并等待一小段时间，以便客机操作系统执行彻底关闭。Compute Engine 随后先将虚拟机状态设置为 STOPPING，然后在一分钟内将其转换为 TERMINATED。

  2. 虚拟机会重置为开机状态，并保留其内部 IP、MAC 地址、配置设置和元数据。但是，虚拟机会失去其内存中数据和虚拟机状态。如果您需要保留内存中数据和虚拟机状态，请改为暂停虚拟机。

此外，如果您将任何资源挂接到虚拟机，则在您手动分离资源或删除虚拟机之前，这些资源会保持挂接状态。如果虚拟机挂接了任何本地 SSD 磁盘，则默认情况下，停止虚拟机时会舍弃本地 SSD 磁盘上的所有数据。如需将数据保留在本地 SSD 磁盘上，您必须使用带有 --discard-local-ssd=false 标志的 gcloud CLI 停止虚拟机。如需了解详情，请参阅停止具有本地 SSD 的虚拟机。

如需停止虚拟机，请选择本文档中介绍的方法之一：

停止虚拟机后，您可以重启虚拟机或删除虚拟机。如果您不打算重启虚拟机，建议您将其删除。

通过 Google Cloud 停止虚拟机

如需一次停止多个虚拟机，请使用 Google Cloud 控制台。

控制台

如需停止一个或多个虚拟机，请执行以下操作：

  1. 在 Google Cloud 控制台中，转到虚拟机实例页面。

    转到虚拟机实例

  2. 选择要停止的虚拟机。

  3. 点击 停止，然后点击停止进行确认。

gcloud

如需停止虚拟机，请使用 gcloud compute instances stop 命令：

gcloud compute instances stop VM_NAME \
    --project=PROJECT_ID \
    --zone=ZONE

替换以下内容：

  • VM_NAME：虚拟机的名称。

  • PROJECT_ID：虚拟机所在项目的 ID。

  • ZONE：该虚拟机所在的可用区。

如果您将本地 SSD 磁盘挂接到虚拟机，并希望在停止虚拟机后保留本地 SSD 数据，请使用带有 --discard-local-ssd=false 标志的 gcloud beta compute instances stop 命令。

gcloud beta compute instances stop VM_NAME \
    --discard-local-ssd=false \
    --project=PROJECT_ID \
    --zone=ZONE

Go

compute/stop_instance.go 
import (
	"context"
	"fmt"
	"io"

	compute "cloud.google.com/go/compute/apiv1"
	computepb "google.golang.org/genproto/googleapis/cloud/compute/v1"
)

// stopInstance stops a started Google Compute Engine instance
func stopInstance(w io.Writer, projectID, zone, instanceName string) error {
	// projectID := "your_project_id"
	// zone := "europe-central2-b"
	// instanceName := "your_instance_name"

	ctx := context.Background()
	instancesClient, err := compute.NewInstancesRESTClient(ctx)
	if err != nil {
		return fmt.Errorf("NewInstancesRESTClient: %w", err)
	}
	defer instancesClient.Close()

	req := &computepb.StopInstanceRequest{
		Project:  projectID,
		Zone:     zone,
		Instance: instanceName,
	}

	op, err := instancesClient.Stop(ctx, req)
	if err != nil {
		return fmt.Errorf("unable to stop instance: %w", err)
	}

	if err = op.Wait(ctx); err != nil {
		return fmt.Errorf("unable to wait for the operation: %w", err)
	}

	fmt.Fprintf(w, "Instance stopped\n")

	return nil
}

Java

compute/cloud-client/src/main/java/compute/StopInstance.java 

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.compute.v1.InstancesClient;
import com.google.cloud.compute.v1.Operation;
import com.google.cloud.compute.v1.Operation.Status;
import com.google.cloud.compute.v1.StopInstanceRequest;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class StopInstance {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    /* project: project ID or project number of the Cloud project your instance belongs to.
       zone: name of the zone your instance belongs to.
       instanceName: name of the instance your want to stop.
     */
    String project = "your-project-id";
    String zone = "zone-name";
    String instanceName = "instance-name";

    stopInstance(project, zone, instanceName);
  }

  // Stops a started Google Compute Engine instance.
  public static void stopInstance(String project, String zone, String instanceName)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    /* Initialize client that will be used to send requests. This client only needs to be created
       once, and can be reused for multiple requests. After completing all of your requests, call
       the `instancesClient.close()` method on the client to safely
       clean up any remaining background resources. */
    try (InstancesClient instancesClient = InstancesClient.create()) {

      StopInstanceRequest stopInstanceRequest = StopInstanceRequest.newBuilder()
          .setProject(project)
          .setZone(zone)
          .setInstance(instanceName)
          .build();

      OperationFuture<Operation, Operation> operation = instancesClient.stopAsync(
          stopInstanceRequest);
      Operation response = operation.get(3, TimeUnit.MINUTES);

      if (response.getStatus() == Status.DONE) {
        System.out.println("Instance stopped successfully ! ");
      }
    }
  }
}

Node.js

compute/stopInstance.js 
/**
 * TODO(developer): Uncomment and replace these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const zone = 'europe-central2-b'
// const instanceName = 'YOUR_INSTANCE_NAME'

const compute = require('@google-cloud/compute');

async function stopInstance() {
  const instancesClient = new compute.InstancesClient();

  const [response] = await instancesClient.stop({
    project: projectId,
    zone,
    instance: instanceName,
  });
  let operation = response.latestResponse;
  const operationsClient = new compute.ZoneOperationsClient();

  // Wait for the operation to complete.
  while (operation.status !== 'DONE') {
    [operation] = await operationsClient.wait({
      operation: operation.name,
      project: projectId,
      zone: operation.zone.split('/').pop(),
    });
  }

  console.log('Instance stopped.');
}

stopInstance();

PHP

compute/instances/src/stop_instance.php 
use Google\Cloud\Compute\V1\Client\InstancesClient;
use Google\Cloud\Compute\V1\StopInstanceRequest;

/**
 * Stops a running Google Compute Engine instance.
 *
 * @param string $projectId Project ID or project number of the Cloud project your instance belongs to.
 * @param string $zone Name of the zone your instance belongs to.
 * @param string $instanceName Name of the instance you want to stop.
  *
 * @throws \Google\ApiCore\ApiException if the remote call fails.
 * @throws \Google\ApiCore\ValidationException if local error occurs before remote call.
 */
function stop_instance(
    string $projectId,
    string $zone,
    string $instanceName
) {
    // Stop the Compute Engine instance using InstancesClient.
    $instancesClient = new InstancesClient();
    $request = (new StopInstanceRequest())
        ->setInstance($instanceName)
        ->setProject($projectId)
        ->setZone($zone);
    $operation = $instancesClient->stop($request);

    // Wait for the operation to complete.
    $operation->pollUntilComplete();
    if ($operation->operationSucceeded()) {
        printf('Instance %s stopped successfully' . PHP_EOL, $instanceName);
    } else {
        $error = $operation->getError();
        printf('Failed to stop instance: %s' . PHP_EOL, $error?->getMessage());
    }
}

Python

compute/client_library/snippets/instances/stop.py 
from __future__ import annotations

import sys
from typing import Any

from google.api_core.extended_operation import ExtendedOperation
from google.cloud import compute_v1

def wait_for_extended_operation(
    operation: ExtendedOperation, verbose_name: str = "operation", timeout: int = 300
) -> Any:
    """
    Waits for the extended (long-running) operation to complete.

    If the operation is successful, it will return its result.
    If the operation ends with an error, an exception will be raised.
    If there were any warnings during the execution of the operation
    they will be printed to sys.stderr.

    Args:
        operation: a long-running operation you want to wait on.
        verbose_name: (optional) a more verbose name of the operation,
            used only during error and warning reporting.
        timeout: how long (in seconds) to wait for operation to finish.
            If None, wait indefinitely.

    Returns:
        Whatever the operation.result() returns.

    Raises:
        This method will raise the exception received from `operation.exception()`
        or RuntimeError if there is no exception set, but there is an `error_code`
        set for the `operation`.

        In case of an operation taking longer than `timeout` seconds to complete,
        a `concurrent.futures.TimeoutError` will be raised.
    """
    result = operation.result(timeout=timeout)

    if operation.error_code:
        print(
            f"Error during {verbose_name}: [Code: {operation.error_code}]: {operation.error_message}",
            file=sys.stderr,
            flush=True,
        )
        print(f"Operation ID: {operation.name}", file=sys.stderr, flush=True)
        raise operation.exception() or RuntimeError(operation.error_message)

    if operation.warnings:
        print(f"Warnings during {verbose_name}:\n", file=sys.stderr, flush=True)
        for warning in operation.warnings:
            print(f" - {warning.code}: {warning.message}", file=sys.stderr, flush=True)

    return result

def stop_instance(project_id: str, zone: str, instance_name: str) -> None:
    """
    Stops a running Google Compute Engine instance.
    Args:
        project_id: project ID or project number of the Cloud project your instance belongs to.
        zone: name of the zone your instance belongs to.
        instance_name: name of the instance your want to stop.
    """
    instance_client = compute_v1.InstancesClient()

    operation = instance_client.stop(
        project=project_id, zone=zone, instance=instance_name
    )
    wait_for_extended_operation(operation, "instance stopping")

REST

如需停止虚拟机，请向 instances.stop 方法发出 POST 请求。

 POST https://www.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/instances/VM_NAME/stop

替换以下内容：

  • VM_NAME：虚拟机的名称。

  • PROJECT_ID：虚拟机所在项目的 ID。

  • ZONE：该虚拟机所在的可用区。

从客机操作系统内部停止虚拟机

如需在连接到虚拟机后从客机操作系统内部停止虚拟机，请选择以下标签页之一。

Linux

如需停止 Linux 虚拟机，请选择以下方法之一：

  • 如需进行彻底关停，使虚拟机能够先关停脚本，然后系统再向虚拟机发送 ACPI 关停信号，请运行以下命令：

    sudo shutdown -h now

  • 否则，如需强制关停，请运行以下命令：

    sudo poweroff

Windows

如需停止 Windows 虚拟机，请选择以下方法之一：

  • 如需进行彻底关停，使虚拟机能够先关停脚本，然后系统再向虚拟机发送 ACPI 关停信号，请运行以下命令：

    shutdown /s

  • 否则，如需强制关停，请运行以下命令：

    shutdown /f

重启虚拟机

只有当虚拟机处于 TERMINATED 状态时，您才能重启已停止的虚拟机。如需重启虚拟机，请选择本文档中介绍的以下方法之一：

重启没有加密磁盘的虚拟机

重启已停止且不使用任何加密磁盘的虚拟机（默认）。如需一次重启多个虚拟机，请使用 Google Cloud 控制台。

控制台

如需重启一个或多个虚拟机，请执行以下操作：

  1. 在 Google Cloud 控制台中，转到虚拟机实例页面。

    转到虚拟机实例

  2. 选择一个或多个虚拟机。

  3. 点击 启动/恢复。

gcloud

如需重启虚拟机，请使用 gcloud compute instances start 命令：

gcloud compute instances start VM_NAME \
    --project=PROJECT_ID \
    --zone=ZONE

替换以下内容：

  • VM_NAME：虚拟机的名称。

  • PROJECT_ID：虚拟机所在项目的 ID。

  • ZONE：该虚拟机所在的可用区。

Go

compute/start_instance.go 
import (
	"context"
	"fmt"
	"io"

	compute "cloud.google.com/go/compute/apiv1"
	computepb "google.golang.org/genproto/googleapis/cloud/compute/v1"
)

// startInstance starts a stopped Google Compute Engine instance (with unencrypted disks).
func startInstance(w io.Writer, projectID, zone, instanceName string) error {
	// projectID := "your_project_id"
	// zone := "europe-central2-b"
	// instanceName := "your_instance_name"

	ctx := context.Background()
	instancesClient, err := compute.NewInstancesRESTClient(ctx)
	if err != nil {
		return fmt.Errorf("NewInstancesRESTClient: %w", err)
	}
	defer instancesClient.Close()

	req := &computepb.StartInstanceRequest{
		Project:  projectID,
		Zone:     zone,
		Instance: instanceName,
	}

	op, err := instancesClient.Start(ctx, req)
	if err != nil {
		return fmt.Errorf("unable to start instance: %w", err)
	}

	if err = op.Wait(ctx); err != nil {
		return fmt.Errorf("unable to wait for the operation: %w", err)
	}

	fmt.Fprintf(w, "Instance started\n")

	return nil
}

Java

compute/cloud-client/src/main/java/compute/StartInstance.java 

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.compute.v1.InstancesClient;
import com.google.cloud.compute.v1.Operation;
import com.google.cloud.compute.v1.Operation.Status;
import com.google.cloud.compute.v1.StartInstanceRequest;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class StartInstance {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    /* project: project ID or project number of the Cloud project your instance belongs to.
       zone: name of the zone your instance belongs to.
       instanceName: name of the instance your want to start. */
    String project = "your-project-id";
    String zone = "zone-name";
    String instanceName = "instance-name";

    startInstance(project, zone, instanceName);
  }

  // Starts a stopped Google Compute Engine instance (with unencrypted disks).
  public static void startInstance(String project, String zone, String instanceName)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    /* Initialize client that will be used to send requests. This client only needs to be created
       once, and can be reused for multiple requests. After completing all of your requests, call
       the `instancesClient.close()` method on the client to safely
       clean up any remaining background resources. */
    try (InstancesClient instancesClient = InstancesClient.create()) {

      // Create the request.
      StartInstanceRequest startInstanceRequest = StartInstanceRequest.newBuilder()
          .setProject(project)
          .setZone(zone)
          .setInstance(instanceName)
          .build();

      OperationFuture<Operation, Operation> operation = instancesClient.startAsync(
          startInstanceRequest);

      // Wait for the operation to complete.
      Operation response = operation.get(3, TimeUnit.MINUTES);

      if (response.getStatus() == Status.DONE) {
        System.out.println("Instance started successfully ! ");
      }
    }
  }
}

Node.js

compute/startInstance.js 
/**
 * TODO(developer): Uncomment and replace these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const zone = 'europe-central2-b'
// const instanceName = 'YOUR_INSTANCE_NAME'

const compute = require('@google-cloud/compute');

async function startInstance() {
  const instancesClient = new compute.InstancesClient();

  const [response] = await instancesClient.start({
    project: projectId,
    zone,
    instance: instanceName,
  });
  let operation = response.latestResponse;
  const operationsClient = new compute.ZoneOperationsClient();

  // Wait for the operation to complete.
  while (operation.status !== 'DONE') {
    [operation] = await operationsClient.wait({
      operation: operation.name,
      project: projectId,
      zone: operation.zone.split('/').pop(),
    });
  }

  console.log('Instance started.');
}

startInstance();

PHP

compute/instances/src/start_instance.php 
use Google\Cloud\Compute\V1\Client\InstancesClient;
use Google\Cloud\Compute\V1\StartInstanceRequest;

/**
 * Starts a stopped Google Compute Engine instance (with unencrypted disks).
 *
 * @param string $projectId Project ID or project number of the Cloud project your instance belongs to.
 * @param string $zone Name of the zone your instance belongs to.
 * @param string $instanceName Name of the instance you want to stop.
  *
 * @throws \Google\ApiCore\ApiException if the remote call fails.
 * @throws \Google\ApiCore\ValidationException if local error occurs before remote call.
 */
function start_instance(
    string $projectId,
    string $zone,
    string $instanceName
) {
    // Start the Compute Engine instance using InstancesClient.
    $instancesClient = new InstancesClient();
    $request = (new StartInstanceRequest())
        ->setInstance($instanceName)
        ->setProject($projectId)
        ->setZone($zone);
    $operation = $instancesClient->start($request);

    // Wait for the operation to complete.
    $operation->pollUntilComplete();
    if ($operation->operationSucceeded()) {
        printf('Instance %s started successfully' . PHP_EOL, $instanceName);
    } else {
        $error = $operation->getError();
        printf('Failed to start instance: %s' . PHP_EOL, $error?->getMessage());
    }
}

Python

compute/client_library/snippets/instances/start.py 
from __future__ import annotations

import sys
from typing import Any

from google.api_core.extended_operation import ExtendedOperation
from google.cloud import compute_v1

def wait_for_extended_operation(
    operation: ExtendedOperation, verbose_name: str = "operation", timeout: int = 300
) -> Any:
    """
    Waits for the extended (long-running) operation to complete.

    If the operation is successful, it will return its result.
    If the operation ends with an error, an exception will be raised.
    If there were any warnings during the execution of the operation
    they will be printed to sys.stderr.

    Args:
        operation: a long-running operation you want to wait on.
        verbose_name: (optional) a more verbose name of the operation,
            used only during error and warning reporting.
        timeout: how long (in seconds) to wait for operation to finish.
            If None, wait indefinitely.

    Returns:
        Whatever the operation.result() returns.

    Raises:
        This method will raise the exception received from `operation.exception()`
        or RuntimeError if there is no exception set, but there is an `error_code`
        set for the `operation`.

        In case of an operation taking longer than `timeout` seconds to complete,
        a `concurrent.futures.TimeoutError` will be raised.
    """
    result = operation.result(timeout=timeout)

    if operation.error_code:
        print(
            f"Error during {verbose_name}: [Code: {operation.error_code}]: {operation.error_message}",
            file=sys.stderr,
            flush=True,
        )
        print(f"Operation ID: {operation.name}", file=sys.stderr, flush=True)
        raise operation.exception() or RuntimeError(operation.error_message)

    if operation.warnings:
        print(f"Warnings during {verbose_name}:\n", file=sys.stderr, flush=True)
        for warning in operation.warnings:
            print(f" - {warning.code}: {warning.message}", file=sys.stderr, flush=True)

    return result

def start_instance(project_id: str, zone: str, instance_name: str) -> None:
    """
    Starts a stopped Google Compute Engine instance (with unencrypted disks).
    Args:
        project_id: project ID or project number of the Cloud project your instance belongs to.
        zone: name of the zone your instance belongs to.
        instance_name: name of the instance your want to start.
    """
    instance_client = compute_v1.InstancesClient()

    operation = instance_client.start(
        project=project_id, zone=zone, instance=instance_name
    )

    wait_for_extended_operation(operation, "instance start")

REST

如需重启虚拟机，请向 instances.start 方法发出 POST 请求。

 POST https://www.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/instances/VM_NAME/start

替换以下内容：

  • VM_NAME：要重启的虚拟机的名称。

  • PROJECT_ID：虚拟机所在项目的 ID。

  • ZONE：该虚拟机所在的可用区。

重启使用加密磁盘的虚拟机

您可以重启已停止的虚拟机，该虚拟机使用客户提供的加密密钥来加密挂接到虚拟机的永久性磁盘。

控制台

如需重启使用加密磁盘的虚拟机，请执行以下操作：

  1. 在 Google Cloud 控制台中，转到虚拟机实例页面。

    转到虚拟机实例

  2. 选择要重启的虚拟机。

  3. 点击 启动/恢复。

  4. 为挂接到此虚拟机的每个加密磁盘指定加密密钥，然后点击开始。

gcloud

如需重启使用加密磁盘的虚拟机，请使用带有 --csek-key-file 标志的 gcloud compute instances start 命令。如果您使用的是 RSA 封装密钥，请改用 gcloud beta compute instances start 命令。

gcloud compute instances start VM_NAME \
    --csek-key-file=ENCRYPTION_KEY_FILE \
    --project=PROJECT_ID \
    --zone=ZONE

替换以下内容：

  • VM_NAME：虚拟机的名称。

  • ENCRYPTION_KEY_FILE：包含客户提供的加密密钥的 JSON 文件的相对路径。

  • PROJECT_ID：虚拟机所在项目的 ID。

  • ZONE：该虚拟机所在的可用区。

Go

compute/start_instance_with_enc_key.go 
import (
	"context"
	"fmt"
	"io"

	compute "cloud.google.com/go/compute/apiv1"
	computepb "google.golang.org/genproto/googleapis/cloud/compute/v1"
	"google.golang.org/protobuf/proto"
)

// startInstanceWithEncKey starts a stopped Google Compute Engine instance (with encrypted disks).
func startInstanceWithEncKey(w io.Writer, projectID, zone, instanceName, key string) error {
	// projectID := "your_project_id"
	// zone := "europe-central2-b"
	// instanceName := "your_instance_name"
	// key := "your_encryption_key"

	ctx := context.Background()
	instancesClient, err := compute.NewInstancesRESTClient(ctx)
	if err != nil {
		return fmt.Errorf("NewInstancesRESTClient: %w", err)
	}
	defer instancesClient.Close()

	instanceReq := &computepb.GetInstanceRequest{
		Project:  projectID,
		Zone:     zone,
		Instance: instanceName,
	}

	instance, err := instancesClient.Get(ctx, instanceReq)
	if err != nil {
		return fmt.Errorf("unable to get instance: %w", err)
	}

	req := &computepb.StartWithEncryptionKeyInstanceRequest{
		Project:  projectID,
		Zone:     zone,
		Instance: instanceName,
		InstancesStartWithEncryptionKeyRequestResource: &computepb.InstancesStartWithEncryptionKeyRequest{
			Disks: []*computepb.CustomerEncryptionKeyProtectedDisk{
				{
					Source: proto.String(instance.GetDisks()[0].GetSource()),
					DiskEncryptionKey: &computepb.CustomerEncryptionKey{
						RawKey: proto.String(key),
					},
				},
			},
		},
	}

	op, err := instancesClient.StartWithEncryptionKey(ctx, req)
	if err != nil {
		return fmt.Errorf("unable to start instance with encryption key: %w", err)
	}

	if err = op.Wait(ctx); err != nil {
		return fmt.Errorf("unable to wait for the operation: %w", err)
	}

	fmt.Fprintf(w, "Instance with encryption key started\n")

	return nil
}

Java

compute/cloud-client/src/main/java/compute/StartEncryptedInstance.java 

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.compute.v1.CustomerEncryptionKey;
import com.google.cloud.compute.v1.CustomerEncryptionKeyProtectedDisk;
import com.google.cloud.compute.v1.GetInstanceRequest;
import com.google.cloud.compute.v1.Instance;
import com.google.cloud.compute.v1.InstancesClient;
import com.google.cloud.compute.v1.InstancesStartWithEncryptionKeyRequest;
import com.google.cloud.compute.v1.Operation;
import com.google.cloud.compute.v1.Operation.Status;
import com.google.cloud.compute.v1.StartWithEncryptionKeyInstanceRequest;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class StartEncryptedInstance {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    /* project: project ID or project number of the Cloud project your instance belongs to.
       zone: name of the zone your instance belongs to.
       instanceName: name of the instance your want to start.
       key: bytes object representing a raw base64 encoded key to your machines boot disk.
            For more information about disk encryption see:
            https://cloud.google.com/compute/docs/disks/customer-supplied-encryption#specifications
     */
    String project = "your-project-id";
    String zone = "zone-name";
    String instanceName = "instance-name";
    String key = "raw-key";

    startEncryptedInstance(project, zone, instanceName, key);
  }

  // Starts a stopped Google Compute Engine instance (with encrypted disks).
  public static void startEncryptedInstance(String project, String zone, String instanceName,
      String key)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    /* Initialize client that will be used to send requests. This client only needs to be created
       once, and can be reused for multiple requests. After completing all of your requests, call
       the `instancesClient.close()` method on the client to safely
       clean up any remaining background resources. */
    try (InstancesClient instancesClient = InstancesClient.create()) {

      GetInstanceRequest getInstanceRequest = GetInstanceRequest.newBuilder()
          .setProject(project)
          .setZone(zone)
          .setInstance(instanceName).build();

      Instance instance = instancesClient.get(getInstanceRequest);

      // Prepare the information about disk encryption.
      CustomerEncryptionKeyProtectedDisk protectedDisk = CustomerEncryptionKeyProtectedDisk
          .newBuilder()
          /* Use raw_key to send over the key to unlock the disk
             To use a key stored in KMS, you need to provide:
             `kms_key_name` and `kms_key_service_account`
           */
          .setDiskEncryptionKey(CustomerEncryptionKey.newBuilder()
              .setRawKey(key).build())
          .setSource(instance.getDisks(0).getSource())
          .build();

      InstancesStartWithEncryptionKeyRequest startWithEncryptionKeyRequest =
          InstancesStartWithEncryptionKeyRequest.newBuilder()
              .addDisks(protectedDisk).build();

      StartWithEncryptionKeyInstanceRequest encryptionKeyInstanceRequest =
          StartWithEncryptionKeyInstanceRequest.newBuilder()
              .setProject(project)
              .setZone(zone)
              .setInstance(instanceName)
              .setInstancesStartWithEncryptionKeyRequestResource(startWithEncryptionKeyRequest)
              .build();

      OperationFuture<Operation, Operation> operation = instancesClient.startWithEncryptionKeyAsync(
          encryptionKeyInstanceRequest);
      Operation response = operation.get(3, TimeUnit.MINUTES);

      if (response.getStatus() == Status.DONE) {
        System.out.println("Encrypted instance started successfully ! ");
      }
    }
  }

}

Node.js

compute/startInstanceWithEncKey.js 
/**
 * TODO(developer): Uncomment and replace these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const zone = 'europe-central2-b'
// const instanceName = 'YOUR_INSTANCE_NAME'
// const key = 'YOUR_KEY_STRING'

const compute = require('@google-cloud/compute');

async function startInstanceWithEncryptionKey() {
  const instancesClient = new compute.InstancesClient();

  const [instance] = await instancesClient.get({
    project: projectId,
    zone,
    instance: instanceName,
  });

  const [response] = await instancesClient.startWithEncryptionKey({
    project: projectId,
    zone,
    instance: instanceName,
    instancesStartWithEncryptionKeyRequestResource: {
      disks: [
        {
          source: instance.disks[0].source,
          diskEncryptionKey: {
            rawKey: key,
          },
        },
      ],
    },
  });
  let operation = response.latestResponse;
  const operationsClient = new compute.ZoneOperationsClient();

  // Wait for the operation to complete.
  while (operation.status !== 'DONE') {
    [operation] = await operationsClient.wait({
      operation: operation.name,
      project: projectId,
      zone: operation.zone.split('/').pop(),
    });
  }

  console.log('Instance with encryption key started.');
}

startInstanceWithEncryptionKey();

PHP

compute/instances/src/start_instance_with_encryption_key.php 
use Google\Cloud\Compute\V1\Client\InstancesClient;
use Google\Cloud\Compute\V1\CustomerEncryptionKey;
use Google\Cloud\Compute\V1\CustomerEncryptionKeyProtectedDisk;
use Google\Cloud\Compute\V1\GetInstanceRequest;
use Google\Cloud\Compute\V1\InstancesStartWithEncryptionKeyRequest;
use Google\Cloud\Compute\V1\StartWithEncryptionKeyInstanceRequest;

/**
 * Starts a stopped Google Compute Engine instance (with encrypted disks).
 *
 * @param string $projectId Project ID or project number of the Cloud project your instance belongs to.
 * @param string $zone Name of the zone your instance belongs to.
 * @param string $instanceName Name of the instance you want to stop.
 * @param string $key Bytes object representing a raw base64 encoded key to your instance's boot disk.
 *                    For more information about disk encryption see:
 *                    https://cloud.google.com/compute/docs/disks/customer-supplied-encryption#specifications
 *
 * @throws \Google\ApiCore\ApiException if the remote call fails.
 * @throws \Google\ApiCore\ValidationException if local error occurs before remote call.
 */
function start_instance_with_encryption_key(
    string $projectId,
    string $zone,
    string $instanceName,
    string $key
) {
    // Initiate the InstancesClient.
    $instancesClient = new InstancesClient();

    // Get data about the instance.
    $request = (new GetInstanceRequest())
        ->setInstance($instanceName)
        ->setProject($projectId)
        ->setZone($zone);
    $instanceData = $instancesClient->get($request);

    // Use `setRawKey` to send over the key to unlock the disk
    // To use a key stored in KMS, you need to use `setKmsKeyName` and `setKmsKeyServiceAccount`
    $customerEncryptionKey = (new CustomerEncryptionKey())
        ->setRawKey($key);

    /** @var \Google\Cloud\Compute\V1\AttachedDisk */
    $disk = $instanceData->getDisks()[0];

    // Prepare the information about disk encryption.
    $diskData = (new CustomerEncryptionKeyProtectedDisk())
        ->setSource($disk->getSource())
        ->setDiskEncryptionKey($customerEncryptionKey);

    // Set request with one disk.
    $instancesStartWithEncryptionKeyRequest = (new InstancesStartWithEncryptionKeyRequest())
        ->setDisks(array($diskData));

    // Start the instance with encrypted disk.
    $request2 = (new StartWithEncryptionKeyInstanceRequest())
        ->setInstance($instanceName)
        ->setInstancesStartWithEncryptionKeyRequestResource($instancesStartWithEncryptionKeyRequest)
        ->setProject($projectId)
        ->setZone($zone);
    $operation = $instancesClient->startWithEncryptionKey($request2);

    // Wait for the operation to complete.
    $operation->pollUntilComplete();
    if ($operation->operationSucceeded()) {
        printf('Instance %s started successfully' . PHP_EOL, $instanceName);
    } else {
        $error = $operation->getError();
        printf('Starting instance failed: %s' . PHP_EOL, $error?->getMessage());
    }
}

Python

compute/client_library/snippets/instances/start_encrypted.py 
from __future__ import annotations

import sys
from typing import Any

from google.api_core.extended_operation import ExtendedOperation
from google.cloud import compute_v1

def wait_for_extended_operation(
    operation: ExtendedOperation, verbose_name: str = "operation", timeout: int = 300
) -> Any:
    """
    Waits for the extended (long-running) operation to complete.

    If the operation is successful, it will return its result.
    If the operation ends with an error, an exception will be raised.
    If there were any warnings during the execution of the operation
    they will be printed to sys.stderr.

    Args:
        operation: a long-running operation you want to wait on.
        verbose_name: (optional) a more verbose name of the operation,
            used only during error and warning reporting.
        timeout: how long (in seconds) to wait for operation to finish.
            If None, wait indefinitely.

    Returns:
        Whatever the operation.result() returns.

    Raises:
        This method will raise the exception received from `operation.exception()`
        or RuntimeError if there is no exception set, but there is an `error_code`
        set for the `operation`.

        In case of an operation taking longer than `timeout` seconds to complete,
        a `concurrent.futures.TimeoutError` will be raised.
    """
    result = operation.result(timeout=timeout)

    if operation.error_code:
        print(
            f"Error during {verbose_name}: [Code: {operation.error_code}]: {operation.error_message}",
            file=sys.stderr,
            flush=True,
        )
        print(f"Operation ID: {operation.name}", file=sys.stderr, flush=True)
        raise operation.exception() or RuntimeError(operation.error_message)

    if operation.warnings:
        print(f"Warnings during {verbose_name}:\n", file=sys.stderr, flush=True)
        for warning in operation.warnings:
            print(f" - {warning.code}: {warning.message}", file=sys.stderr, flush=True)

    return result

def start_instance_with_encryption_key(
    project_id: str, zone: str, instance_name: str, key: bytes
) -> None:
    """
    Starts a stopped Google Compute Engine instance (with encrypted disks).
    Args:
        project_id: project ID or project number of the Cloud project your instance belongs to.
        zone: name of the zone your instance belongs to.
        instance_name: name of the instance your want to start.
        key: bytes object representing a raw base64 encoded key to your machines boot disk.
            For more information about disk encryption see:
            https://cloud.google.com/compute/docs/disks/customer-supplied-encryption#specifications
    """
    instance_client = compute_v1.InstancesClient()

    instance_data = instance_client.get(
        project=project_id, zone=zone, instance=instance_name
    )

    # Prepare the information about disk encryption
    disk_data = compute_v1.CustomerEncryptionKeyProtectedDisk()
    disk_data.source = instance_data.disks[0].source
    disk_data.disk_encryption_key = compute_v1.CustomerEncryptionKey()
    # Use raw_key to send over the key to unlock the disk
    # To use a key stored in KMS, you need to provide `kms_key_name` and `kms_key_service_account`
    disk_data.disk_encryption_key.raw_key = key
    enc_data = compute_v1.InstancesStartWithEncryptionKeyRequest()
    enc_data.disks = [disk_data]

    operation = instance_client.start_with_encryption_key(
        project=project_id,
        zone=zone,
        instance=instance_name,
        instances_start_with_encryption_key_request_resource=enc_data,
    )

    wait_for_extended_operation(operation, "instance start (with encrypted disk)")

REST

如需重启使用加密磁盘的虚拟机，请向 instances.startWithEncryptionKey 方法发出 POST 请求。

POST https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/instances/VM_NAME/startWithEncryptionKey

{
  "disks": [
    {
      "source": "DISK_URL",
      "diskEncryptionKey": {
        "ENCRYPTION_TYPE": "ENCRYPTION_KEY"
      }
    }
  ]
}

替换以下内容：

  • PROJECT_ID：虚拟机所在项目的 ID。

  • ZONE：该虚拟机所在的可用区。

  • VM_NAME：虚拟机的名称。

  • DISK_URL：与挂接的磁盘（已使用客户提供的加密密钥进行了加密）的完整资源名称对应的资源网址。

  • ENCRYPTION_TYPE：您使用的磁盘加密类型，可以是以下类型之一：rawKey、kmsKeyName 或 rsaEncryptedKey。如果您使用 rsaEncryptedKey 类型，则必须向 Beta 版 API（而不是 v1 API）发出 POST 请求。

  • ENCRYPTION_KEY：用于加密挂接到虚拟机的永久性磁盘的加密密钥。rawKey 或 rsaEncryptedKey 密钥必须采用 base64 编码。此外，如需准备 rsaEncryptedKey 密钥，请参阅 RSA 密钥封装。

重置虚拟机

对正在运行的虚拟机执行重置类似于对计算机执行硬重启，例如按下重置按钮或按住电源按钮。重置虚拟机时，您没有给虚拟机留出时间来彻底关闭客机操作系统。因此，这可能会损坏磁盘的文件系统。Google Cloud 建议仅在客机操作系统崩溃且您没有其他选项时重置虚拟机。如果要重新初始化虚拟机并执行彻底关停，请参阅本文档中的重新启动虚拟机。

重置虚拟机时，会发生以下情况：

  • 虚拟机会使用原始元数据、映像和永久性磁盘重新初始化为初始启动状态。

  • 除非您备份数据，否则虚拟机会强制擦除机器内存中的内容。

  • 在整个过程中，虚拟机将保持 RUNNING 状态。

虚拟机重置操作不会更改其任何虚拟机属性。虚拟机会保留其临时 IP 地址、静态外部 IP 地址、永久性磁盘、本地 SSD 磁盘（如果有）和机器类型。

控制台

如需重置一个或多个正在运行的虚拟机，请执行以下操作：

  1. 在 Google Cloud 控制台中，转到虚拟机实例页面。

    转到虚拟机实例

  2. 选择要重置的虚拟机。

  3. 点击重置，然后再次点击重置。

gcloud

如需重置正在运行的虚拟机，请使用 gcloud compute instances reset 命令。

gcloud compute instances reset VM_NAME \
    --project=PROJECT_ID \
    --zone=ZONE

替换以下内容：

  • VM_NAME：虚拟机的名称。

  • PROJECT_ID：虚拟机所在项目的 ID。

  • ZONE：该虚拟机所在的可用区。

Go

compute/reset_instance.go 
import (
	"context"
	"fmt"
	"io"

	compute "cloud.google.com/go/compute/apiv1"
	computepb "google.golang.org/genproto/googleapis/cloud/compute/v1"
)

// resetInstance resets a running Google Compute Engine instance (with unencrypted disks).
func resetInstance(w io.Writer, projectID, zone, instanceName string) error {
	// projectID := "your_project_id"
	// zone := "europe-central2-b"
	// instanceName := "your_instance_name"

	ctx := context.Background()
	instancesClient, err := compute.NewInstancesRESTClient(ctx)
	if err != nil {
		return fmt.Errorf("NewInstancesRESTClient: %w", err)
	}
	defer instancesClient.Close()

	req := &computepb.ResetInstanceRequest{
		Project:  projectID,
		Zone:     zone,
		Instance: instanceName,
	}

	op, err := instancesClient.Reset(ctx, req)
	if err != nil {
		return fmt.Errorf("unable to reset instance: %w", err)
	}

	if err = op.Wait(ctx); err != nil {
		return fmt.Errorf("unable to wait for the operation: %w", err)
	}

	fmt.Fprintf(w, "Instance reset\n")

	return nil
}

Java

compute/cloud-client/src/main/java/compute/ResetInstance.java 

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.compute.v1.InstancesClient;
import com.google.cloud.compute.v1.Operation;
import com.google.cloud.compute.v1.Operation.Status;
import com.google.cloud.compute.v1.ResetInstanceRequest;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class ResetInstance {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    /* project: project ID or project number of the Cloud project your instance belongs to.
       zone: name of the zone your instance belongs to.
       instanceName: name of the instance your want to reset.
     */
    String project = "your-project-id";
    String zone = "zone-name";
    String instanceName = "instance-name";

    resetInstance(project, zone, instanceName);
  }

  // Resets a running Google Compute Engine instance (with unencrypted disks).
  public static void resetInstance(String project, String zone, String instanceName)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    /* Initialize client that will be used to send requests. This client only needs to be created
       once, and can be reused for multiple requests. After completing all of your requests, call
       the `instancesClient.close()` method on the client to safely
       clean up any remaining background resources. */
    try (InstancesClient instancesClient = InstancesClient.create()) {

      ResetInstanceRequest resetInstanceRequest = ResetInstanceRequest.newBuilder()
          .setProject(project)
          .setZone(zone)
          .setInstance(instanceName)
          .build();

      OperationFuture<Operation, Operation> operation = instancesClient.resetAsync(
          resetInstanceRequest);
      Operation response = operation.get(3, TimeUnit.MINUTES);

      if (response.getStatus() == Status.DONE) {
        System.out.println("Instance reset successfully ! ");
      }
    }
  }

}

Node.js

compute/resetInstance.js 
/**
 * TODO(developer): Uncomment and replace these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const zone = 'europe-central2-b'
// const instanceName = 'YOUR_INSTANCE_NAME'

const compute = require('@google-cloud/compute');

async function resetInstance() {
  const instancesClient = new compute.InstancesClient();

  const [response] = await instancesClient.reset({
    project: projectId,
    zone,
    instance: instanceName,
  });
  let operation = response.latestResponse;
  const operationsClient = new compute.ZoneOperationsClient();

  // Wait for the operation to complete.
  while (operation.status !== 'DONE') {
    [operation] = await operationsClient.wait({
      operation: operation.name,
      project: projectId,
      zone: operation.zone.split('/').pop(),
    });
  }

  console.log('Instance reset.');
}

resetInstance();

PHP

compute/instances/src/reset_instance.php 
use Google\Cloud\Compute\V1\Client\InstancesClient;
use Google\Cloud\Compute\V1\ResetInstanceRequest;

/**
 * Reset a running Google Compute Engine instance (with unencrypted disks).
 *
 * @param string $projectId Project ID or project number of the Cloud project your instance belongs to.
 * @param string $zone Name of the zone your instance belongs to.
 * @param string $instanceName Name of the instance you want to reset.
  *
 * @throws \Google\ApiCore\ApiException if the remote call fails.
 * @throws \Google\ApiCore\ValidationException if local error occurs before remote call.
 */
function reset_instance(
    string $projectId,
    string $zone,
    string $instanceName
) {
    // Stop the Compute Engine instance using InstancesClient.
    $instancesClient = new InstancesClient();
    $request = (new ResetInstanceRequest())
        ->setInstance($instanceName)
        ->setProject($projectId)
        ->setZone($zone);
    $operation = $instancesClient->reset($request);

    // Wait for the operation to complete.
    $operation->pollUntilComplete();
    if ($operation->operationSucceeded()) {
        printf('Instance %s reset successfully' . PHP_EOL, $instanceName);
    } else {
        $error = $operation->getError();
        printf('Failed to reset instance: %s' . PHP_EOL, $error?->getMessage());
    }
}

Python

compute/client_library/snippets/instances/reset.py 
from __future__ import annotations

import sys
from typing import Any

from google.api_core.extended_operation import ExtendedOperation
from google.cloud import compute_v1

def wait_for_extended_operation(
    operation: ExtendedOperation, verbose_name: str = "operation", timeout: int = 300
) -> Any:
    """
    Waits for the extended (long-running) operation to complete.

    If the operation is successful, it will return its result.
    If the operation ends with an error, an exception will be raised.
    If there were any warnings during the execution of the operation
    they will be printed to sys.stderr.

    Args:
        operation: a long-running operation you want to wait on.
        verbose_name: (optional) a more verbose name of the operation,
            used only during error and warning reporting.
        timeout: how long (in seconds) to wait for operation to finish.
            If None, wait indefinitely.

    Returns:
        Whatever the operation.result() returns.

    Raises:
        This method will raise the exception received from `operation.exception()`
        or RuntimeError if there is no exception set, but there is an `error_code`
        set for the `operation`.

        In case of an operation taking longer than `timeout` seconds to complete,
        a `concurrent.futures.TimeoutError` will be raised.
    """
    result = operation.result(timeout=timeout)

    if operation.error_code:
        print(
            f"Error during {verbose_name}: [Code: {operation.error_code}]: {operation.error_message}",
            file=sys.stderr,
            flush=True,
        )
        print(f"Operation ID: {operation.name}", file=sys.stderr, flush=True)
        raise operation.exception() or RuntimeError(operation.error_message)

    if operation.warnings:
        print(f"Warnings during {verbose_name}:\n", file=sys.stderr, flush=True)
        for warning in operation.warnings:
            print(f" - {warning.code}: {warning.message}", file=sys.stderr, flush=True)

    return result

def reset_instance(project_id: str, zone: str, instance_name: str) -> None:
    """
    Resets a stopped Google Compute Engine instance (with unencrypted disks).
    Args:
        project_id: project ID or project number of the Cloud project your instance belongs to.
        zone: name of the zone your instance belongs to.
        instance_name: name of the instance your want to reset.
    """
    instance_client = compute_v1.InstancesClient()

    operation = instance_client.reset(
        project=project_id, zone=zone, instance=instance_name
    )

    wait_for_extended_operation(operation, "instance reset")

REST

如需重置正在运行的虚拟机，请向 instances.reset 方法发出 POST 请求。

 POST https://www.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/instances/VM_NAME/reset

替换以下内容：

  • VM_NAME：虚拟机的名称。

  • PROJECT_ID：虚拟机所在项目的 ID。

  • ZONE：该虚拟机所在的可用区。

重新启动虚拟机

从客机操作系统内部重新启动虚拟机时，会发生以下情况：

  • 虚拟机会使用原始元数据、映像和永久性磁盘重新初始化为初始启动状态。

  • 除非您备份数据，否则虚拟机会擦除机器内存中的内容。

  • 在整个过程中，虚拟机将保持 RUNNING 状态。

与重置虚拟机相比，如果从客机操作系统中重新启动虚拟机，系统会等待虚拟机完成所有正在运行的任务，然后再将 ACPI 关停信号发送到虚拟机。这样，虚拟机便能够执行彻底关闭。

重新启动虚拟机时，不会更改其任何虚拟机属性。虚拟机会保留其临时 IP 地址、静态外部 IP 地址、永久性磁盘、本地 SSD 磁盘（如果有）和机器类型。

Linux

如需重置 Linux 虚拟机，请运行以下命令来重新启动客机操作系统：

sudo reboot

Windows

如需重置 Windows 虚拟机，请运行以下命令来重新启动客机操作系统：

shutdown /r /t 0

（可选）如需监控关停和重启虚拟机的过程，请启用 Windows 启动管理器菜单。

结算

在虚拟机停止并且 Compute Engine 将其状态设置为 TERMINATED 后，您无需再支付 CPU 使用费。但是，挂接到虚拟机的所有资源（例如永久性磁盘和外部 IP 地址）将会继续产生费用。

如需让挂接到虚拟机的资源停止产生费用，请执行以下操作之一：

  • 将这些资源与已停止的虚拟机分离。

  • 删除虚拟机。此操作也会删除关联到该虚拟机的所有资源。

后续步骤