Menggunakan pemesanan

Konsol

Contoh berikut menunjukkan cara membuat reservasi otomatis di zona us-central1-a untuk tiga instance N2 dengan 32 vCPU, dan Intel Cascade Lake sebagai platform CPU minimum. Bagian ini juga menunjukkan cara membuat satu instance untuk menggunakan reservasi.

Untuk membuat contoh reservasi otomatis dan menggunakannya, lakukan tindakan berikut:

1. Untuk membuat contoh reservasi, selesaikan langkah-langkah berikut:

   1. Di konsol Google Cloud , buka halaman Reservations.

      Buka Pemesanan

      Langkah-langkah yang tersisa akan otomatis muncul di konsolGoogle Cloud .

   2. Di tab Pemesanan sesuai permintaan (default), klik add_box Buat pemesanan. Halaman Buat pemesanan akan muncul.

   3. Di kolom Nama, masukkan nama untuk reservasi. Misalnya, masukkan reservation-01.

   4. Pilih Region dan Zona tempat Anda ingin memesan resource. Misalnya, pilih us-central1 dan us-central1-a.

   5. Di bagian Jenis berbagi, lakukan salah satu tindakan berikut:

      • Untuk membuat reservasi satu project, pilih Lokal.

      • Untuk membuat pemesanan bersama, pilih Shared, lalu tentukan project yang ingin Anda gunakan dalam pemesanan bersama.

   6. Di bagian Use with VM instance, pilih Use reservation automatically, jika belum dipilih.

   7. Di kolom Number of VM instances, masukkan 3.

   8. Di tab General purpose, pilih N2.

   9. Di bagian Machine type, pada tab Preset (default), pilih n2-standard-32.

   10. Luaskan CPU platform and GPU, lalu di kolom CPU platform, pilih Intel Cascade Lake or later.

   11. Klik Buat.

2. Untuk membuat instance yang menggunakan contoh reservasi, selesaikan langkah-langkah berikut:

   1. Di konsol Google Cloud , buka halaman Create an instance.

      Buka halaman Buat instance

      Halaman Create an instance akan muncul dan menampilkan panel Machine configuration.

   2. Di panel Machine configuration, lakukan hal berikut:

      1. Di kolom Name, masukkan nama untuk instance. Untuk contoh ini, masukkan instance-01.

      2. Tentukan Region dan Zone tempat untuk memesan resource. Untuk contoh ini, pilih us-central1 dan us-central1-a secara berurutan.

      3. Di tab General purpose, pilih N2.

      4. Di bagian Machine type, pada tab Preset (default), pilih n2-standard-32.

      5. Luaskan bagian Opsi lanjutan, lalu, di kolom CPU platform, pilih Intel Cascade Lake atau yang lebih baru.

   3. Opsional: Penggunaan otomatis reservasi yang cocok adalah setelan default. Namun, jika Anda ingin menentukan setelan ini, lakukan hal berikut:

      1. Di menu navigasi, klik Lanjutan. Panel Lanjutan akan muncul.

      2. Di bagian Reservations, pilih Use automatic selection.

   4. Klik Buat.

gcloud

Contoh berikut menunjukkan cara membuat reservasi otomatis di zona us-central1-a untuk tiga instance N2 dengan 32 vCPU, dan Intel Cascade Lake sebagai platform CPU minimum. Bagian ini juga menunjukkan cara membuat satu instance untuk menggunakan reservasi.

Untuk membuat contoh reservasi otomatis dan menggunakannya, lakukan tindakan berikut:

1. Untuk membuat contoh reservasi, gunakan perintah gcloud compute reservations create:

   gcloud compute reservations create reservation-01 \
       --machine-type=n2-standard-32 \
       --min-cpu-platform="Intel Cascade Lake" \
       --vm-count=3 \
       --zone=us-central1-a
   

2. Untuk membuat instance yang menggunakan contoh pemesanan, gunakan perintah gcloud compute instances create dengan flag --reservation-affinity yang ditetapkan ke any. Karena any adalah konfigurasi default, Anda juga dapat menghilangkan tanda ini.

   gcloud compute instances create instance-01 \
       --machine-type=n2-standard-32 \
       --min-cpu-platform="Intel Cascade Lake" \
       --reservation-affinity=any \
       --zone=us-central1-a
   

Go

Untuk membuat contoh pemesanan otomatis menggunakan template instance, dan membuat instance untuk menggunakan pemesanan menggunakan template yang sama, gunakan contoh kode berikut:

import (
	"context"
	"fmt"
	"io"

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

// consumeAnyReservation creates instance, consuming any available reservation
func consumeAnyReservation(w io.Writer, projectID, zone, instanceName, sourceTemplate string) error {
	// projectID := "your_project_id"
	// zone := "us-west3-a"
	// instanceName := "your_instance_name"
	// sourceTemplate: existing template path. Following formats are allowed:
	//  	- projects/{project_id}/global/instanceTemplates/{template_name}
	//  	- projects/{project_id}/regions/{region}/instanceTemplates/{template_name}
	//  	- https://www.googleapis.com/compute/v1/projects/{project_id}/global/instanceTemplates/instanceTemplate
	//  	- https://www.googleapis.com/compute/v1/projects/{project_id}/regions/{region}/instanceTemplates/instanceTemplate

	ctx := context.Background()

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

	req := &computepb.InsertInstanceRequest{
		Project:                projectID,
		Zone:                   zone,
		SourceInstanceTemplate: proto.String(sourceTemplate),
		InstanceResource: &computepb.Instance{
			Name: proto.String(instanceName),
			// specifies that any matching reservation should be consumed
			ReservationAffinity: &computepb.ReservationAffinity{
				ConsumeReservationType: proto.String("ANY_RESERVATION"),
			},
		},
	}

	op, err := instancesClient.Insert(ctx, req)
	if err != nil {
		return fmt.Errorf("unable to create 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 created from reservation\n")

	return nil
}

Java

Contoh berikut menunjukkan cara membuat instance N1 dengan empat vCPU, dan Intel Skylake sebagai platform CPU minimum di zona us-central1-a. Instance secara otomatis menggunakan reservasi yang cocok.

Untuk membuat instance contoh, gunakan contoh kode berikut:

import static com.google.cloud.compute.v1.ReservationAffinity.ConsumeReservationType.ANY_RESERVATION;

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.compute.v1.AttachedDisk;
import com.google.cloud.compute.v1.AttachedDiskInitializeParams;
import com.google.cloud.compute.v1.InsertInstanceRequest;
import com.google.cloud.compute.v1.Instance;
import com.google.cloud.compute.v1.InstancesClient;
import com.google.cloud.compute.v1.NetworkInterface;
import com.google.cloud.compute.v1.Operation;
import com.google.cloud.compute.v1.ReservationAffinity;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class ConsumeAnyMatchingReservation {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    // Project ID or project number of the Cloud project you want to use.
    String projectId = "YOUR_PROJECT_ID";
    // Zone where the VM instance will be created.
    String zone = "us-central1-a";
    // Name of the VM instance you want to query.
    String instanceName = "YOUR_INSTANCE_NAME";
    // machineType: machine type of the VM being created.
    // *   For a list of machine types, see https://cloud.google.com/compute/docs/machine-types
    String machineTypeName = "n1-standard-4";
    // sourceImage: path to the operating system image to mount.
    // *   For details about images you can mount, see https://cloud.google.com/compute/docs/images
    String sourceImage = "projects/debian-cloud/global/images/family/debian-11";
    // diskSizeGb: storage size of the boot disk to attach to the instance.
    long diskSizeGb = 10L;
    // networkName: network interface to associate with the instance.
    String networkName = "default";
    // Minimum CPU platform of the instances.
    String minCpuPlatform = "Intel Skylake";

    createInstanceAsync(projectId, zone, instanceName, machineTypeName, sourceImage,
        diskSizeGb, networkName, minCpuPlatform);
  }

  // Create a virtual machine targeted with the reserveAffinity field.
  // In this consumption model, existing and new VMs automatically consume a reservation
  // if their properties match the VM properties specified in the reservation.
  public static Instance createInstanceAsync(String projectId, String zone,
      String instanceName, String machineTypeName, String sourceImage,
      long diskSizeGb, String networkName, String minCpuPlatform)
      throws IOException, InterruptedException, ExecutionException, TimeoutException {
    String machineType = String.format("zones/%s/machineTypes/%s", zone, machineTypeName);
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (InstancesClient instancesClient = InstancesClient.create()) {
      AttachedDisk disk =
          AttachedDisk.newBuilder()
              .setBoot(true)
              .setAutoDelete(true)
              .setType(AttachedDisk.Type.PERSISTENT.toString())
              .setDeviceName("disk-1")
              .setInitializeParams(
                  AttachedDiskInitializeParams.newBuilder()
                      .setSourceImage(sourceImage)
                      .setDiskSizeGb(diskSizeGb)
                      .build())
              .build();

      NetworkInterface networkInterface = NetworkInterface.newBuilder()
          .setName(networkName)
          .build();

      ReservationAffinity reservationAffinity =
          ReservationAffinity.newBuilder()
              .setConsumeReservationType(ANY_RESERVATION.toString())
              .build();

      Instance instanceResource =
          Instance.newBuilder()
              .setName(instanceName)
              .setMachineType(machineType)
              .addDisks(disk)
              .addNetworkInterfaces(networkInterface)
              .setMinCpuPlatform(minCpuPlatform)
              .setReservationAffinity(reservationAffinity)
              .build();

      InsertInstanceRequest insertInstanceRequest = InsertInstanceRequest.newBuilder()
          .setProject(projectId)
          .setZone(zone)
          .setInstanceResource(instanceResource)
          .build();

      OperationFuture<Operation, Operation> operation = instancesClient.insertAsync(
          insertInstanceRequest);

      Operation response = operation.get(3, TimeUnit.MINUTES);

      if (response.hasError()) {
        return null;
      }
      return instancesClient.get(projectId, zone, instanceName);
    }
  }
}

Node.js

Contoh berikut menunjukkan cara membuat instance N1 dengan empat vCPU, dan Intel Skylake sebagai platform CPU minimum di zona us-central1-a. Instance secara otomatis menggunakan reservasi yang cocok.

Untuk membuat instance contoh, gunakan contoh kode berikut:

// Import the Compute library
const computeLib = require('@google-cloud/compute');
const compute = computeLib.protos.google.cloud.compute.v1;

// Instantiate a reservationsClient
const instancesClient = new computeLib.InstancesClient();
// Instantiate a zoneOperationsClient
const zoneOperationsClient = new computeLib.ZoneOperationsClient();

/**
 * TODO(developer): Update/uncomment these variables before running the sample.
 */
// The ID of the project where you want to create instance.
const projectId = await instancesClient.getProjectId();
// The zone in which to create instance.
const zone = 'us-central1-a';
// The name of the instance to create.
// const instanceName = 'instance-01';
// Machine type to use for VM.
const machineType = 'n1-standard-4';

// Create instance to consume reservation if their properties match the VM properties
async function callCreateInstanceToConsumeAnyReservation() {
  // Describe the size and source image of the boot disk to attach to the instance.
  const disk = new compute.Disk({
    boot: true,
    autoDelete: true,
    type: 'PERSISTENT',
    initializeParams: {
      diskSizeGb: '10',
      sourceImage: 'projects/debian-cloud/global/images/family/debian-12',
    },
  });

  //  Define networkInterface
  const networkInterface = new compute.NetworkInterface({
    name: 'global/networks/default',
  });

  // Define reservationAffinity
  const reservationAffinity = new compute.ReservationAffinity({
    consumeReservationType: 'ANY_RESERVATION',
  });

  // Create an instance
  const instance = new compute.Instance({
    name: instanceName,
    machineType: `zones/${zone}/machineTypes/${machineType}`,
    minCpuPlatform: 'Intel Skylake',
    disks: [disk],
    networkInterfaces: [networkInterface],
    reservationAffinity,
  });

  const [response] = await instancesClient.insert({
    project: projectId,
    instanceResource: instance,
    zone,
  });

  let operation = response.latestResponse;

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

  console.log(`Instance ${instanceName} created.`);
}

await callCreateInstanceToConsumeAnyReservation();

Python

Contoh berikut menunjukkan cara membuat reservasi otomatis di zona us-central1-a untuk tiga instance N1 dengan satu vCPU, dan Intel Ivy sebagai platform CPU minimum. Bagian ini juga menunjukkan cara membuat satu instance untuk menggunakan pemesanan.

Untuk membuat contoh reservasi otomatis dan menggunakannya, lakukan tindakan berikut:

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 consume_any_project_reservation(
    project_id: str,
    zone: str,
    reservation_name: str,
    instance_name: str,
    machine_type: str = "n1-standard-1",
    min_cpu_platform: str = "Intel Ivy Bridge",
) -> compute_v1.Instance:
    """
    Creates a specific reservation in a single project and launches a VM
    that consumes the newly created reservation.
    Args:
        project_id (str): The ID of the Google Cloud project.
        zone (str): The zone to create the reservation.
        reservation_name (str): The name of the reservation to create.
        instance_name (str): The name of the instance to create.
        machine_type (str): The machine type for the instance.
        min_cpu_platform (str): The minimum CPU platform for the instance.
    """
    instance_properties = (
        compute_v1.AllocationSpecificSKUAllocationReservedInstanceProperties(
            machine_type=machine_type,
            min_cpu_platform=min_cpu_platform,
        )
    )

    reservation = compute_v1.Reservation(
        name=reservation_name,
        specific_reservation=compute_v1.AllocationSpecificSKUReservation(
            count=3,
            instance_properties=instance_properties,
        ),
    )

    # Create a reservation client
    client = compute_v1.ReservationsClient()
    operation = client.insert(
        project=project_id,
        zone=zone,
        reservation_resource=reservation,
    )
    wait_for_extended_operation(operation, "Reservation creation")

    instance = compute_v1.Instance()
    instance.name = instance_name
    instance.machine_type = f"zones/{zone}/machineTypes/{machine_type}"
    instance.min_cpu_platform = min_cpu_platform
    instance.zone = zone

    # Set the reservation affinity to target any matching reservation
    instance.reservation_affinity = compute_v1.ReservationAffinity(
        consume_reservation_type="ANY_RESERVATION",  # Type of reservation to consume
    )
    # Define the disks for the instance
    instance.disks = [
        compute_v1.AttachedDisk(
            boot=True,  # Indicates that this is a boot disk
            auto_delete=True,  # The disk will be deleted when the instance is deleted
            initialize_params=compute_v1.AttachedDiskInitializeParams(
                source_image="projects/debian-cloud/global/images/family/debian-11",
                disk_size_gb=10,
            ),
        )
    ]
    instance.network_interfaces = [
        compute_v1.NetworkInterface(
            network="global/networks/default",  # The network to use
            access_configs=[
                compute_v1.AccessConfig(
                    name="External NAT",  # Name of the access configuration
                    type="ONE_TO_ONE_NAT",  # Type of access configuration
                )
            ],
        )
    ]
    # Create a request to insert the instance
    request = compute_v1.InsertInstanceRequest()
    request.zone = zone
    request.project = project_id
    request.instance_resource = instance

    vm_client = compute_v1.InstancesClient()
    operation = vm_client.insert(request)
    wait_for_extended_operation(operation, "instance creation")
    print(f"Instance {instance_name} that targets any open reservation created.")

    return vm_client.get(project=project_id, zone=zone, instance=instance_name)

REST

Contoh berikut menunjukkan cara membuat reservasi otomatis di zona us-central1-a untuk tiga instance N2 dengan 32 vCPU, dan Intel Cascade Lake sebagai platform CPU minimum. Bagian ini juga menunjukkan cara membuat satu instance untuk menggunakan reservasi.

Untuk membuat contoh reservasi otomatis dan menggunakannya, lakukan tindakan berikut:

1. Untuk membuat contoh pemesanan, buat permintaan POST ke metode reservations.insert:

   POST https://compute.googleapis.com/compute/v1/projects/example-project/zones/us-central1-a/reservations
   
   {
     "name": "reservation-01",
     "specificReservation": {
       "count": "3",
       "instanceProperties": {
         "machineType": "n2-standard-32",
         "minCpuPlatform": "Intel Cascade Lake",
       }
     }
   }
   

2. Untuk membuat instance yang menggunakan contoh pemesanan, buat permintaan POST ke metode instances.insert. Dalam isi permintaan, sertakan kolom consumeReservationType yang ditetapkan ke ANY_RESERVATION. Namun, karena ANY_RESERVATION adalah konfigurasi default, Anda juga dapat menghilangkan kolom tersebut.

   POST https://compute.googleapis.com/compute/v1/projects/example-project/zones/us-central1-a/instances
   
   {
     "name": "instance-01",
     "machineType": "zones/us-central1-a/machineTypes/n2-standard-32",
     "minCpuPlatform": "Intel Cascade Lake",
     "disks": [
       {
         "boot": true,
         "initializeParams": {
           "sourceImage": "projects/debian-cloud/global/images/family/debian-12"
         }
       }
     ],
     "networkInterfaces": [
       {
         "network": "global/networks/default"
       }
     ],
     "reservationAffinity": {
       "consumeReservationType": "ANY_RESERVATION"
     }
   }
   

Konsol

Contoh berikut menunjukkan cara membuat reservasi tertentu di zona us-central1-a untuk tiga instance N2 dengan 32 vCPU, dan Intel Cascade Lake sebagai platform CPU minimum. Bagian ini juga menunjukkan cara membuat satu instance untuk menggunakan reservasi.

Untuk membuat contoh reservasi khusus dan menggunakannya, lakukan hal berikut:

1. Untuk membuat contoh reservasi, selesaikan langkah-langkah berikut:

   1. Di konsol Google Cloud , buka halaman Reservations.

      Buka Pemesanan

      Langkah-langkah yang tersisa akan otomatis muncul di konsolGoogle Cloud .

   2. Di tab Pemesanan sesuai permintaan (default), klik add_box Buat pemesanan. Halaman Buat pemesanan akan muncul.

   3. Di kolom Nama, masukkan nama untuk reservasi. Misalnya, masukkan reservation-02.

   4. Tentukan Region dan Zone tempat untuk memesan resource. Untuk contoh ini, pilih us-central1 dan us-central1-a masing-masing.

   5. Di bagian Jenis berbagi, lakukan salah satu tindakan berikut:

      • Untuk membuat reservasi satu project, pilih Lokal.

      • Untuk membuat pemesanan bersama, pilih Shared, lalu tentukan project yang ingin Anda gunakan dalam pemesanan bersama.

   6. Di bagian Use with VM instance, pilih Select specific reservation.

   7. Di kolom Number of VM instances, masukkan 3.

   8. Di tab General purpose, pilih N2.

   9. Di bagian Machine type, pada tab Preset (default), pilih n2-standard-32.

   10. Luaskan CPU platform and GPU, lalu di kolom CPU platform, pilih Intel Cascade Lake or later.

   11. Klik Buat.

2. Untuk membuat instance yang menggunakan contoh reservasi, selesaikan langkah-langkah berikut:

   1. Di konsol Google Cloud , buka halaman Create an instance.

      Buka halaman Buat instance

      Halaman Create an instance akan muncul dan menampilkan panel Machine configuration.

   2. Di panel Machine configuration, lakukan hal berikut:

      1. Di kolom Name, masukkan nama untuk instance. Untuk contoh ini, masukkan instance-02.

      2. Tentukan Region dan Zone tempat untuk memesan resource. Untuk contoh ini, pilih us-central1 dan us-central1-a masing-masing.

      3. Di tab General purpose, pilih N2.

      4. Di bagian Machine type, pada tab Preset (default), pilih n2-standard-32.

      5. Luaskan bagian Opsi lanjutan, lalu, di kolom CPU platform, pilih Intel Cascade Lake atau yang lebih baru.

   3. Di menu navigasi, klik Lanjutan. Panel Lanjutan akan muncul.

   4. Di bagian Reservations, pilih Choose a reservation, lalu klik Choose reservation.

   5. Di panel Choose a reservation� yang muncul, lakukan hal berikut:

      1. Pilih reservasi tertentu yang Anda buat di langkah-langkah sebelumnya. Jika Anda ingin menggunakan pemesanan bersama yang ada di project lain, pilih project tempat pemesanan berada di daftar Project.

      2. Klik Pilih.

   6. Klik Buat.

gcloud

Contoh berikut menunjukkan cara membuat reservasi tertentu di zona us-central1-a untuk tiga instance N2 dengan 32 vCPU, dan Intel Cascade Lake sebagai platform CPU minimum. Bagian ini juga menunjukkan cara membuat satu instance untuk menggunakan reservasi.

Untuk membuat contoh reservasi khusus dan menggunakannya, lakukan hal berikut:

1. Untuk membuat contoh pemesanan, gunakan perintah gcloud compute reservations create dengan flag --require-specific-reservation:

   gcloud compute reservations create reservation-02 \
       --machine-type=n2-standard-32 \
       --min-cpu-platform="Intel Cascade Lake" \
       --require-specific-reservation \
       --vm-count=3 \
       --zone=us-central1-a
   

2. Untuk membuat instance yang menggunakan contoh pemesanan, gunakan perintah gcloud compute instances create dengan flag --reservation dan --reservation-affinity=specific:

   gcloud compute instances create instance-02 \
       --machine-type=n2-standard-32 \
       --min-cpu-platform="Intel Cascade Lake" \
       --reservation-affinity=specific \
       --reservation=RESERVATION_URL \
       --zone=us-central1-a
   

   Ganti RESERVATION_URL dengan URL reservasi. Tentukan salah satu nilai berikut:

   • Jika Anda membuat pemesanan di project yang sama: reservation-02

   • Jika reservasi berada di project yang berbeda: projects/PROJECT_ID/reservations/reservation-02

Go

Contoh berikut menunjukkan cara membuat instance N2 dengan 32 vCPU, dan Intel Cascade Lake sebagai platform CPU minimum, di zona us-central1-a untuk menggunakan reservasi tertentu yang cocok:

• Untuk membuat contoh instance yang akan menggunakan reservasi khusus satu project, gunakan contoh kode berikut:

  import (
  	"context"
  	"fmt"
  	"io"
  
  	compute "cloud.google.com/go/compute/apiv1"
  	computepb "cloud.google.com/go/compute/apiv1/computepb"
  	"google.golang.org/protobuf/proto"
  )
  
  // consumeSpecificReservation creates instance, consuming specific reservation
  // Note: respective reservation should have SpecificReservationRequired: true
  func consumeSpecificReservation(w io.Writer, projectID, zone, instanceName, reservationName string) error {
  	// projectID := "your_project_id"
  	// zone := "us-west3-a"
  	// reservationName := "your_reservation_name"
  	// instanceName := "your_instance_name"
  
  	ctx := context.Background()
  	machineType := fmt.Sprintf("zones/%s/machineTypes/%s", zone, "n2-standard-32")
  	sourceImage := "projects/debian-cloud/global/images/family/debian-12"
  
  	instancesClient, err := compute.NewInstancesRESTClient(ctx)
  	if err != nil {
  		return fmt.Errorf("NewInstancesRESTClient: %w", err)
  	}
  	defer instancesClient.Close()
  
  	req := &computepb.InsertInstanceRequest{
  		Project: projectID,
  		Zone:    zone,
  		InstanceResource: &computepb.Instance{
  			Disks: []*computepb.AttachedDisk{
  				{
  					InitializeParams: &computepb.AttachedDiskInitializeParams{
  						DiskSizeGb:  proto.Int64(10),
  						SourceImage: proto.String(sourceImage),
  					},
  					AutoDelete: proto.Bool(true),
  					Boot:       proto.Bool(true),
  					Type:       proto.String(computepb.AttachedDisk_PERSISTENT.String()),
  				},
  			},
  			MachineType:    proto.String(machineType),
  			MinCpuPlatform: proto.String("Intel Cascade Lake"),
  			Name:           proto.String(instanceName),
  			NetworkInterfaces: []*computepb.NetworkInterface{
  				{
  					Name: proto.String("global/networks/default"),
  				},
  			},
  			// specifies particular reservation, which should be consumed
  			ReservationAffinity: &computepb.ReservationAffinity{
  				ConsumeReservationType: proto.String("SPECIFIC_RESERVATION"),
  				Key:                    proto.String("compute.googleapis.com/reservation-name"),
  				Values:                 []string{reservationName},
  			},
  		},
  	}
  
  	op, err := instancesClient.Insert(ctx, req)
  	if err != nil {
  		return fmt.Errorf("unable to create 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 created from reservation\n")
  
  	return nil
  }
  

• Untuk membuat contoh instance guna menggunakan reservasi bersama tertentu, gunakan contoh kode berikut:

  import (
  	"context"
  	"fmt"
  	"io"
  
  	computepb "cloud.google.com/go/compute/apiv1/computepb"
  	"google.golang.org/protobuf/proto"
  )
  
  // consumeSpecificSharedReservation consumes specific shared reservation in particular zone
  func consumeSpecificSharedReservation(w io.Writer, client InstanceClientInterface, projectID, baseProjectId, zone, instanceName, reservationName string) error {
  	// client, err := compute.NewInstancesRESTClient(ctx)
  	// projectID := "your_project_id". Project where reservation is created.
  	// baseProjectId := "shared_project_id". Project where instance will be consumed and created.
  	// zone := "us-west3-a"
  	// reservationName := "your_reservation_name"
  	// instanceName := "your_instance_name"
  
  	ctx := context.Background()
  	machineType := fmt.Sprintf("zones/%s/machineTypes/%s", zone, "n2-standard-32")
  	sourceImage := "projects/debian-cloud/global/images/family/debian-12"
  	sharedReservation := fmt.Sprintf("projects/%s/reservations/%s", baseProjectId, reservationName)
  
  	req := &computepb.InsertInstanceRequest{
  		Project: projectID,
  		Zone:    zone,
  		InstanceResource: &computepb.Instance{
  			Disks: []*computepb.AttachedDisk{
  				{
  					InitializeParams: &computepb.AttachedDiskInitializeParams{
  						DiskSizeGb:  proto.Int64(10),
  						SourceImage: proto.String(sourceImage),
  					},
  					AutoDelete: proto.Bool(true),
  					Boot:       proto.Bool(true),
  					Type:       proto.String(computepb.AttachedDisk_PERSISTENT.String()),
  				},
  			},
  			MachineType:    proto.String(machineType),
  			MinCpuPlatform: proto.String("Intel Cascade Lake"),
  			Name:           proto.String(instanceName),
  			NetworkInterfaces: []*computepb.NetworkInterface{
  				{
  					Name: proto.String("global/networks/default"),
  				},
  			},
  			// specifies particular reservation, which should be consumed
  			ReservationAffinity: &computepb.ReservationAffinity{
  				ConsumeReservationType: proto.String("SPECIFIC_RESERVATION"),
  				Key:                    proto.String("compute.googleapis.com/reservation-name"),
  				Values:                 []string{sharedReservation},
  			},
  		},
  	}
  
  	op, err := client.Insert(ctx, req)
  	if err != nil {
  		return fmt.Errorf("unable to create instance: %w", err)
  	}
  
  	if op != nil {
  		if err = op.Wait(ctx); err != nil {
  			return fmt.Errorf("unable to wait for the operation: %w", err)
  		}
  	}
  	fmt.Fprintf(w, "Instance created from shared reservation\n")
  
  	return nil
  }
  

Java

Contoh berikut menunjukkan cara membuat instance N1 dengan empat vCPU, dan Intel Skylake sebagai platform CPU minimum, di zona us-central1-a untuk menggunakan pemesanan tertentu yang cocok:

• Untuk membuat contoh reservasi sebagai reservasi satu project, dan membuat instance untuk menggunakannya, gunakan contoh kode berikut:

  import static com.google.cloud.compute.v1.ReservationAffinity.ConsumeReservationType.SPECIFIC_RESERVATION;
  
  import com.google.api.gax.longrunning.OperationFuture;
  import com.google.cloud.compute.v1.AttachedDisk;
  import com.google.cloud.compute.v1.AttachedDiskInitializeParams;
  import com.google.cloud.compute.v1.InsertInstanceRequest;
  import com.google.cloud.compute.v1.Instance;
  import com.google.cloud.compute.v1.InstancesClient;
  import com.google.cloud.compute.v1.NetworkInterface;
  import com.google.cloud.compute.v1.Operation;
  import com.google.cloud.compute.v1.ReservationAffinity;
  import java.io.IOException;
  import java.util.concurrent.ExecutionException;
  import java.util.concurrent.TimeUnit;
  import java.util.concurrent.TimeoutException;
  
  public class ConsumeSingleProjectReservation {
    public static void main(String[] args)
        throws IOException, ExecutionException, InterruptedException, TimeoutException {
      // TODO(developer): Replace these variables before running the sample.
      // Project ID or project number of the Cloud project you want to use.
      String projectId = "YOUR_PROJECT_ID";
      // Name of the zone where the reservation is located.
      String zone = "us-central1-a";
      // Name of the reservation you want to query.
      String reservationName = "YOUR_RESERVATION_NAME";
      // Name of the VM instance you want to query.
      String instanceName = "YOUR_INSTANCE_NAME";
      // machineType: machine type of the VM being created.
      // *   For a list of machine types, see https://cloud.google.com/compute/docs/machine-types
      String machineTypeName = "n1-standard-4";
      // sourceImage: path to the operating system image to mount.
      // *   For details about images you can mount, see https://cloud.google.com/compute/docs/images
      String sourceImage = "projects/debian-cloud/global/images/family/debian-11";
      // diskSizeGb: storage size of the boot disk to attach to the instance.
      long diskSizeGb = 10L;
      // networkName: network interface to associate with the instance.
      String networkName = "default";
      // Minimum CPU platform of the instances.
      String minCpuPlatform = "Intel Skylake";
  
      createInstanceAsync(projectId, zone, instanceName, reservationName, machineTypeName,
          sourceImage, diskSizeGb, networkName, minCpuPlatform);
    }
  
    // Create a virtual machine targeted with the reserveAffinity field.
    // Ensure that the VM's properties match the reservation's VM properties.
    public static Instance createInstanceAsync(String projectId, String zone, String instanceName,
        String reservationName, String machineTypeName, String sourceImage, long diskSizeGb,
        String networkName, String minCpuPlatform)
        throws IOException, InterruptedException, ExecutionException, TimeoutException {
      String machineType = String.format("zones/%s/machineTypes/%s", zone, machineTypeName);
      // Initialize client that will be used to send requests. This client only needs to be created
      // once, and can be reused for multiple requests.
      try (InstancesClient instancesClient = InstancesClient.create()) {
        AttachedDisk disk =
            AttachedDisk.newBuilder()
                .setBoot(true)
                .setAutoDelete(true)
                .setType(AttachedDisk.Type.PERSISTENT.toString())
                .setDeviceName("disk-1")
                .setInitializeParams(
                    AttachedDiskInitializeParams.newBuilder()
                        .setSourceImage(sourceImage)
                        .setDiskSizeGb(diskSizeGb)
                        .build())
                .build();
  
        NetworkInterface networkInterface = NetworkInterface.newBuilder()
            .setName(networkName)
            .build();
  
        ReservationAffinity reservationAffinity =
            ReservationAffinity.newBuilder()
                .setConsumeReservationType(SPECIFIC_RESERVATION.toString())
                .setKey("compute.googleapis.com/reservation-name")
                // Set specific reservation
                .addValues(reservationName)
                .build();
  
        Instance instanceResource =
            Instance.newBuilder()
                .setName(instanceName)
                .setMachineType(machineType)
                .addDisks(disk)
                .addNetworkInterfaces(networkInterface)
                .setMinCpuPlatform(minCpuPlatform)
                .setReservationAffinity(reservationAffinity)
                .build();
  
        InsertInstanceRequest insertInstanceRequest = InsertInstanceRequest.newBuilder()
            .setProject(projectId)
            .setZone(zone)
            .setInstanceResource(instanceResource)
            .build();
  
        OperationFuture<Operation, Operation> operation = instancesClient.insertAsync(
            insertInstanceRequest);
        Operation response = operation.get(3, TimeUnit.MINUTES);
  
        if (response.hasError()) {
          return null;
        }
        return instancesClient.get(projectId, zone, instanceName);
      }
    }
  }

• Untuk membuat contoh reservasi sebagai reservasi bersama, dan membuat instance untuk menggunakannya, gunakan contoh kode berikut:

  import static com.google.cloud.compute.v1.ReservationAffinity.ConsumeReservationType.SPECIFIC_RESERVATION;
  
  import com.google.api.gax.longrunning.OperationFuture;
  import com.google.cloud.compute.v1.AttachedDisk;
  import com.google.cloud.compute.v1.AttachedDiskInitializeParams;
  import com.google.cloud.compute.v1.InsertInstanceRequest;
  import com.google.cloud.compute.v1.Instance;
  import com.google.cloud.compute.v1.InstancesClient;
  import com.google.cloud.compute.v1.NetworkInterface;
  import com.google.cloud.compute.v1.Operation;
  import com.google.cloud.compute.v1.ReservationAffinity;
  import java.io.IOException;
  import java.util.concurrent.ExecutionException;
  import java.util.concurrent.TimeUnit;
  import java.util.concurrent.TimeoutException;
  
  public class ConsumeSpecificSharedReservation {
    public static void main(String[] args)
        throws IOException, ExecutionException, InterruptedException, TimeoutException {
      // TODO(developer): Replace these variables before running the sample.
      // Project ID or project number of the Cloud project you want to use.
      String projectId = "YOUR_PROJECT_ID";
      // Name of the zone the reservation is located.
      String zone = "us-central1-a";
      // Name of the reservation you want to query.
      String reservationName = "YOUR_RESERVATION_NAME";
      // Name of the VM instance you want to query.
      String instanceName = "YOUR_INSTANCE_NAME";
      // machineType: machine type of the VM being created.
      // *   For a list of machine types, see https://cloud.google.com/compute/docs/machine-types
      String machineTypeName = "n1-standard-4";
      // sourceImage: path to the operating system image to mount.
      // *   For details about images you can mount, see https://cloud.google.com/compute/docs/images
      String sourceImage = "projects/debian-cloud/global/images/family/debian-11";
      // diskSizeGb: storage size of the boot disk to attach to the instance.
      long diskSizeGb = 10L;
      // networkName: network interface to associate with the instance.
      String networkName = "default";
      // Minimum CPU platform of the instances.
      String minCpuPlatform = "Intel Skylake";
  
      createInstanceAsync(projectId, zone, instanceName, reservationName, machineTypeName,
          sourceImage, diskSizeGb, networkName, minCpuPlatform);
    }
  
    // Create a virtual machine targeted with the reserveAffinity field.
    // Ensure that the VM's properties match the reservation's VM properties.
    public static Instance createInstanceAsync(String projectId, String zone, String instanceName,
        String reservationName, String machineTypeName, String sourceImage, long diskSizeGb,
        String networkName, String minCpuPlatform)
        throws IOException, InterruptedException, ExecutionException, TimeoutException {
      String machineType = String.format("zones/%s/machineTypes/%s", zone, machineTypeName);
      // To consume this reservation from any consumer projects that this reservation is shared with,
      // you must also specify the owner project of the reservation - the path to the reservation.
      String reservationPath =
          String.format("projects/%s/reservations/%s", projectId, reservationName);
      // Initialize client that will be used to send requests. This client only needs to be created
      // once, and can be reused for multiple requests.
      try (InstancesClient instancesClient = InstancesClient.create()) {
        AttachedDisk disk =
            AttachedDisk.newBuilder()
                .setBoot(true)
                .setAutoDelete(true)
                .setType(AttachedDisk.Type.PERSISTENT.toString())
                .setDeviceName("disk-1")
                .setInitializeParams(
                    AttachedDiskInitializeParams.newBuilder()
                        .setSourceImage(sourceImage)
                        .setDiskSizeGb(diskSizeGb)
                        .build())
                .build();
  
        NetworkInterface networkInterface = NetworkInterface.newBuilder()
            .setName(networkName)
            .build();
  
        ReservationAffinity reservationAffinity =
            ReservationAffinity.newBuilder()
                .setConsumeReservationType(SPECIFIC_RESERVATION.toString())
                .setKey("compute.googleapis.com/reservation-name")
                // Set specific reservation
                .addValues(reservationPath)
                .build();
  
        Instance instanceResource =
            Instance.newBuilder()
                .setName(instanceName)
                .setMachineType(machineType)
                .addDisks(disk)
                .addNetworkInterfaces(networkInterface)
                .setMinCpuPlatform(minCpuPlatform)
                .setReservationAffinity(reservationAffinity)
                .build();
  
        InsertInstanceRequest insertInstanceRequest = InsertInstanceRequest.newBuilder()
            .setProject(projectId)
            .setZone(zone)
            .setInstanceResource(instanceResource)
            .build();
  
        OperationFuture<Operation, Operation> operation = instancesClient.insertAsync(
            insertInstanceRequest);
        Operation response = operation.get(3, TimeUnit.MINUTES);
  
        if (response.hasError()) {
          return null;
        }
        return instancesClient.get(projectId, zone, instanceName);
      }
    }
  }

Node.js

Contoh berikut menunjukkan cara membuat instance N1 dengan 4 vCPU, dan Intel Skylake sebagai platform CPU minimum, di zona us-central1-a untuk menggunakan pemesanan tertentu yang cocok:

// Import the Compute library
const computeLib = require('@google-cloud/compute');
const compute = computeLib.protos.google.cloud.compute.v1;

// Instantiate a reservationsClient
const instancesClient = new computeLib.InstancesClient();
// Instantiate a zoneOperationsClient
const zoneOperationsClient = new computeLib.ZoneOperationsClient();

/**
 * TODO(developer): Update/uncomment these variables before running the sample.
 */
// The ID of the project where you want to create instance.
const projectId = await instancesClient.getProjectId();
// The zone in which to create instance.
const zone = 'us-central1-a';
// The name of the instance to create.
// const instanceName = 'instance-01';
// The name of the reservation to consume.
// Ensure that the specificReservationRequired field in reservation properties is set to true.
// const reservationName = 'reservation-01';
// Machine type to use for VM.
const machineType = 'n1-standard-4';

// Create instance to consume a specific single-project reservation
async function callCreateInstanceToConsumeSingleProjectReservation() {
  // Describe the size and source image of the boot disk to attach to the instance.
  // Ensure that the VM's properties match the reservation's VM properties,
  // including the zone, machine type (machine family, vCPUs, and memory),
  // minimum CPU platform, GPU amount and type, and local SSD interface and size
  const disk = new compute.Disk({
    boot: true,
    autoDelete: true,
    type: 'PERSISTENT',
    initializeParams: {
      diskSizeGb: '10',
      sourceImage: 'projects/debian-cloud/global/images/family/debian-12',
    },
  });

  //  Define networkInterface
  const networkInterface = new compute.NetworkInterface({
    name: 'global/networks/default',
  });

  // Define reservationAffinity
  const reservationAffinity = new compute.ReservationAffinity({
    consumeReservationType: 'SPECIFIC_RESERVATION',
    key: 'compute.googleapis.com/reservation-name',
    values: [reservationName],
  });

  // Create an instance
  const instance = new compute.Instance({
    name: instanceName,
    machineType: `zones/${zone}/machineTypes/${machineType}`,
    minCpuPlatform: 'Intel Skylake',
    disks: [disk],
    networkInterfaces: [networkInterface],
    reservationAffinity,
  });

  const [response] = await instancesClient.insert({
    project: projectId,
    instanceResource: instance,
    zone,
  });

  let operation = response.latestResponse;

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

  console.log(`Instance ${instanceName} created.`);
}

await callCreateInstanceToConsumeSingleProjectReservation();

Python

Contoh berikut menunjukkan cara membuat instance N2 dengan 32 vCPU, dan Intel Cascade Lake sebagai platform CPU minimum, di zona us-central1-a untuk menggunakan reservasi tertentu yang cocok:

Untuk membuat contoh reservasi khusus dan menggunakannya, lakukan hal berikut:

• Untuk membuat dan menggunakan contoh reservasi sebagai reservasi satu project, gunakan contoh kode berikut:

  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 consume_specific_single_project_reservation(
      project_id: str,
      zone: str,
      reservation_name: str,
      instance_name: str,
      machine_type: str = "n1-standard-1",
      min_cpu_platform: str = "Intel Ivy Bridge",
  ) -> compute_v1.Instance:
      """
      Creates a specific reservation in a single project and launches a VM
      that consumes the newly created reservation.
      Args:
          project_id (str): The ID of the Google Cloud project.
          zone (str): The zone to create the reservation.
          reservation_name (str): The name of the reservation to create.
          instance_name (str): The name of the instance to create.
          machine_type (str): The machine type for the instance.
          min_cpu_platform (str): The minimum CPU platform for the instance.
      """
      instance_properties = (
          compute_v1.AllocationSpecificSKUAllocationReservedInstanceProperties(
              machine_type=machine_type,
              min_cpu_platform=min_cpu_platform,
          )
      )
  
      reservation = compute_v1.Reservation(
          name=reservation_name,
          specific_reservation=compute_v1.AllocationSpecificSKUReservation(
              count=3,
              instance_properties=instance_properties,
          ),
          # Only VMs that target the reservation by name can consume from this reservation
          specific_reservation_required=True,
      )
  
      # Create a reservation client
      client = compute_v1.ReservationsClient()
      operation = client.insert(
          project=project_id,
          zone=zone,
          reservation_resource=reservation,
      )
      wait_for_extended_operation(operation, "Reservation creation")
  
      instance = compute_v1.Instance()
      instance.name = instance_name
      instance.machine_type = f"zones/{zone}/machineTypes/{machine_type}"
      instance.min_cpu_platform = min_cpu_platform
      instance.zone = zone
  
      # Set the reservation affinity to target the specific reservation
      instance.reservation_affinity = compute_v1.ReservationAffinity(
          consume_reservation_type="SPECIFIC_RESERVATION",  # Type of reservation to consume
          key="compute.googleapis.com/reservation-name",  # Key for the reservation
          values=[reservation_name],  # Reservation name to consume
      )
      # Define the disks for the instance
      instance.disks = [
          compute_v1.AttachedDisk(
              boot=True,  # Indicates that this is a boot disk
              auto_delete=True,  # The disk will be deleted when the instance is deleted
              initialize_params=compute_v1.AttachedDiskInitializeParams(
                  source_image="projects/debian-cloud/global/images/family/debian-11",
                  disk_size_gb=10,
              ),
          )
      ]
      instance.network_interfaces = [
          compute_v1.NetworkInterface(
              network="global/networks/default",  # The network to use
              access_configs=[
                  compute_v1.AccessConfig(
                      name="External NAT",  # Name of the access configuration
                      type="ONE_TO_ONE_NAT",  # Type of access configuration
                  )
              ],
          )
      ]
      # Create a request to insert the instance
      request = compute_v1.InsertInstanceRequest()
      request.zone = zone
      request.project = project_id
      request.instance_resource = instance
  
      vm_client = compute_v1.InstancesClient()
      operation = vm_client.insert(request)
      wait_for_extended_operation(operation, "instance creation")
      print(f"Instance {instance_name} with specific reservation created successfully.")
  
      return vm_client.get(project=project_id, zone=zone, instance=instance_name)
  
  

• Untuk membuat dan menggunakan contoh reservasi sebagai reservasi bersama, gunakan contoh kode berikut:

  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 consume_specific_shared_project_reservation(
      owner_project_id: str,
      shared_project_id: str,
      zone: str,
      reservation_name: str,
      instance_name: str,
      machine_type: str = "n1-standard-1",
      min_cpu_platform: str = "Intel Ivy Bridge",
  ) -> compute_v1.Instance:
      """
      Creates a specific reservation in a single project and launches a VM
      that consumes the newly created reservation.
      Args:
          owner_project_id (str): The ID of the Google Cloud project.
          shared_project_id: The ID of the owner project of the reservation in the same zone.
          zone (str): The zone to create the reservation.
          reservation_name (str): The name of the reservation to create.
          instance_name (str): The name of the instance to create.
          machine_type (str): The machine type for the instance.
          min_cpu_platform (str): The minimum CPU platform for the instance.
      """
      instance_properties = (
          compute_v1.AllocationSpecificSKUAllocationReservedInstanceProperties(
              machine_type=machine_type,
              min_cpu_platform=min_cpu_platform,
          )
      )
  
      reservation = compute_v1.Reservation(
          name=reservation_name,
          specific_reservation=compute_v1.AllocationSpecificSKUReservation(
              count=3,
              instance_properties=instance_properties,
          ),
          # Only VMs that target the reservation by name can consume from this reservation
          specific_reservation_required=True,
          share_settings=compute_v1.ShareSettings(
              share_type="SPECIFIC_PROJECTS",
              project_map={
                  shared_project_id: compute_v1.ShareSettingsProjectConfig(
                      project_id=shared_project_id
                  )
              },
          ),
      )
  
      # Create a reservation client
      client = compute_v1.ReservationsClient()
      operation = client.insert(
          project=owner_project_id,
          zone=zone,
          reservation_resource=reservation,
      )
      wait_for_extended_operation(operation, "Reservation creation")
  
      instance = compute_v1.Instance()
      instance.name = instance_name
      instance.machine_type = f"zones/{zone}/machineTypes/{machine_type}"
      instance.min_cpu_platform = min_cpu_platform
      instance.zone = zone
  
      # Set the reservation affinity to target the specific reservation
      instance.reservation_affinity = compute_v1.ReservationAffinity(
          consume_reservation_type="SPECIFIC_RESERVATION",  # Type of reservation to consume
          key="compute.googleapis.com/reservation-name",
          # To consume this reservation from any consumer projects, specify the owner project of the reservation
          values=[f"projects/{owner_project_id}/reservations/{reservation_name}"],
      )
      # Define the disks for the instance
      instance.disks = [
          compute_v1.AttachedDisk(
              boot=True,  # Indicates that this is a boot disk
              auto_delete=True,  # The disk will be deleted when the instance is deleted
              initialize_params=compute_v1.AttachedDiskInitializeParams(
                  source_image="projects/debian-cloud/global/images/family/debian-11",
                  disk_size_gb=10,
              ),
          )
      ]
      instance.network_interfaces = [
          compute_v1.NetworkInterface(
              network="global/networks/default",  # The network to use
              access_configs=[
                  compute_v1.AccessConfig(
                      name="External NAT",  # Name of the access configuration
                      type="ONE_TO_ONE_NAT",  # Type of access configuration
                  )
              ],
          )
      ]
      # Create a request to insert the instance
      request = compute_v1.InsertInstanceRequest()
      request.zone = zone
      # The instance will be created in the shared project
      request.project = shared_project_id
      request.instance_resource = instance
  
      vm_client = compute_v1.InstancesClient()
      operation = vm_client.insert(request)
      wait_for_extended_operation(operation, "instance creation")
      print(f"Instance {instance_name} from project {owner_project_id} created.")
      # The instance is created in the shared project, so we return it from there.
      return vm_client.get(project=shared_project_id, zone=zone, instance=instance_name)
  
  

REST

Contoh berikut menunjukkan cara membuat reservasi tertentu di zona us-central1-a untuk tiga instance N2 dengan 32 vCPU, dan Intel Cascade Lake sebagai platform CPU minimum. Bagian ini juga menunjukkan cara membuat satu instance untuk menggunakan reservasi.

Untuk membuat contoh reservasi khusus dan menggunakannya, lakukan hal berikut:

1. Untuk membuat contoh pemesanan, buat permintaan POST ke metode instances.insert. Dalam isi permintaan, sertakan kolom specificReservationRequired yang ditetapkan ke true:

   POST https://compute.googleapis.com/compute/v1/projects/example-project/zones/us-central1-a/reservations
   
   {
     "name": "reservation-02",
     "specificReservation": {
       "count": "3",
       "instanceProperties": {
         "machineType": "n2-standard-32",
         "minCpuPlatform": "Intel Cascade Lake",
       }
     },
     "specificReservationRequired": true
   }
   

2. Untuk membuat instance yang menggunakan contoh pemesanan, buat permintaan POST ke metode instances.insert. Dalam isi permintaan, di kolom reservationAffinity, sertakan berikut:

   • Kolom consumeReservationType ditetapkan ke SPECIFIC_RESERVATION.

   • Kolom key ditetapkan ke compute.googleapis.com/reservation-name.

   • Kolom values ditetapkan ke URL reservasi.

   Permintaannya mirip dengan berikut ini:

   POST https://compute.googleapis.com/compute/v1/projects/example-project/zones/us-central1-a/instances
   
   {
     "name": "instance-02",
     "machineType": "zones/us-central1-a/machineTypes/n2-standard-32",
     "minCpuPlatform": "Intel Cascade Lake",
     "disks": [
       {
         "boot": true,
         "initializeParams": {
           "sourceImage": "projects/debian-cloud/global/images/family/debian-12"
         }
       }
     ],
     "networkInterfaces": [
       {
         "network": "global/networks/default"
       }
     ],
     "reservationAffinity": {
       "consumeReservationType": "SPECIFIC_RESERVATION",
       "key": "compute.googleapis.com/reservation-name",
       "values": [
         "RESERVATION_URL"
       ]
     }
   }
   

   Ganti RESERVATION_URL dengan URL reservasi. Tentukan salah satu nilai berikut:

   • Jika Anda membuat pemesanan di project yang sama: reservation-02

   • Jika reservasi berada di project yang berbeda: projects/PROJECT_ID/reservations/reservation-02

Konsol

1. Buat contoh permintaan untuk lima instance A3 Ultra dan kirimkan untuk ditinjau:

   1. Di konsol Google Cloud , buka halaman Reservations.

      Buka Pemesanan

   2. Klik tab Future reservations.

   3. Klik add_box Create future reservation. Halaman Create a future reservation akan muncul.

   4. Di bagian Konfigurasi hardware, pilih Tentukan jenis mesin, lalu tentukan instance A3 Ultra.

   5. Di bagian Metode perolehan, selesaikan langkah-langkah berikut:

      1. Pilih Cari kapasitas hingga 90 hari.

      2. Di daftar Region dan Zone, tentukan region dan zona tempat resource akan dipesan. Untuk contoh ini, pilih us-central1 dan us-central1-a.

      3. Di kolom Total kapasitas yang dibutuhkan, masukkan 5.

      4. Di bagian Periode pemesanan, tentukan periode pemesanan untuk pemesanan.

   6. Tentukan kolom lainnya, lalu klik Kirim.

2. Pada waktu mulai permintaan, untuk membuat instance A3 Ultra yang akan menggunakan contoh pemesanan yang dibuat otomatis, lakukan hal berikut:

   1. Di konsol Google Cloud , buka halaman Create an instance.

      Buka halaman Buat instance

   2. Di kolom Name, masukkan nama untuk instance. Untuk contoh ini, masukkan example-instance.

   3. Tentukan Region dan Zona tempat Anda ingin memesan resource. Untuk contoh ini, pilih us-central1 dan us-central1-a.

   4. Klik tab GPU, lalu di daftar GPU type, pilih NVIDIA H200 141 GB. Tindakan ini menentukan instance A3 Ultra dan menetapkan model penyediaan ke Reservation-bound.

   5. Di menu navigasi, klik Lanjutan.

   6. Di bagian Reservations, pilih Choose a reservation, lalu klik Choose a reservation.

   7. Di panel Choose a reservation, lakukan hal berikut:

      1. Pilih reservasi tertentu. Jika Anda ingin menggunakan pemesanan bersama yang ada di project lain, pilih project tempat pemesanan berada di daftar Project.

      2. Klik Pilih.

   8. Di bagian Model penyediaan, luaskan bagian Setelan lanjutan model penyediaan VM.

   9. Dalam daftar On VM termination, pilih Stop (default) atau Delete.

   10. Klik Buat.

gcloud

1. Untuk membuat contoh permintaan lima VM A3 Ultra dan mengirimkannya untuk ditinjau, gunakan perintah gcloud beta compute future-reservations create:

   gcloud beta compute future-reservations create example-fr \
       --auto-delete-auto-created-reservations \
       --deployment-type=DENSE \
       --planning-status=SUBMITTED \
       --require-specific-reservation \
       --reservation-mode=CALENDAR \
       --reservation-name=example-reservation \
       --share-type=local \
       --start-time=2025-10-05T00:00:00Z \
       --end-time=2025-10-19T00:00:00Z \
       --machine-type=a3-ultragpu-8g \
       --total-count=5 \
       --zone=us-central1-a
   

   Anggaplah Google Cloud menyetujui permintaan dan Compute Engine otomatis membuat pemesanan kosong. Pada waktu mulai permintaan, 5 Oktober 2025, Compute Engine akan menambah jumlah VM GPU yang dicadangkan dalam pemesanan. Kemudian, Anda dapat menggunakan reservasi.

2. Pada waktu mulai permintaan, untuk membuat instance A3 Ultra yang akan menggunakan contoh pemesanan yang dibuat otomatis, gunakan perintah gcloud compute instances create dengan flag berikut:

   • Flag --instance-termination-action.

   • Flag --provisioning-model ditetapkan ke RESERVATION_BOUND.

   • Flag --reservation.

   • Flag --reservation-affinity ditetapkan ke specific.

   Perintahnya mirip dengan berikut ini. Untuk mengetahui persyaratan lengkap guna membuat instance A3 Ultra, lihat Membuat instance A3 Ultra atau A4.

   gcloud compute instance create example-instance  \
       --machine-type=a3-ultragpu-8g \
       --instance-termination-action=TERMINATION_ACTION \
       --provisioning-model=RESERVATION_BOUND \
       --reservation-affinity=specific \
       --reservation=RESERVATION_URL \
       --zone=us-central1-a \
       ...
   

   Perintah ini mencakup nilai berikut:

   • TERMINATION_ACTION: apakah Compute Engine menghentikan (STOP) atau menghapus (DELETE) VM di akhir periode reservasi.

   • RESERVATION_URL: URL pemesanan, yang diformat sebagai berikut:

     • Jika pemesanan yang dibuat otomatis ada di project Anda: example-reservation.

     • Jika pemesanan yang dibuat otomatis ada di project lain: projects/PROJECT_ID/reservations/example-reservation.

REST

1. Untuk membuat contoh permintaan lima instance A3 Ultra dan mengirimkannya untuk ditinjau, buat permintaan POST ke metode beta futureReservations.insert:

   POST https://compute.googleapis.com/compute/beta/projects/example-project/zones/us-central1-a/futureReservations
   
   {
     "name": "example-request-calendar-mode",
     "autoDeleteAutoCreatedReservations": true,
     "deploymentType": "DENSE",
     "planningStatus": "SUBMITTED",
     "reservationMode": "CALENDAR",
     "reservationName": "example-reservation",
     "shareSettings": {
       "shareType": "LOCAL"
     },
     "specificReservationRequired": true,
     "specificSkuProperties": {
       "machineType": "a3-ultragpu-8g",
       "totalCount": 5
     },
     "timeWindow": {
       "startTime": "2025-10-05T00:00:00Z",
       "endTime": "2025-10-19T00:00:00Z"
     }
   }
   

   Anggaplah Google Cloud menyetujui permintaan dan Compute Engine otomatis membuat pemesanan kosong. Pada waktu mulai permintaan, 5 Oktober 2025, Compute Engine akan menambah jumlah VM GPU yang dicadangkan dalam pemesanan. Kemudian, Anda dapat menggunakan reservasi.

2. Pada waktu mulai permintaan, untuk membuat instance A3 Ultra yang akan menggunakan contoh pemesanan yang dibuat otomatis, buat permintaan POST ke metode instances.insert. Dalam isi permintaan, sertakan kolom berikut:

   • Kolom reservationAffinity.consumeReservationType ditetapkan ke SPECIFIC_RESERVATION.

   • Kolom reservationAffinity.key ditetapkan ke compute.googleapis.com/reservation-name.

   • Kolom reservationAffinity.values ditetapkan ke URL reservasi.

   • Kolom scheduling.instanceTerminationAction.

   • Kolom scheduling.provisioningModel ditetapkan ke RESERVATION_BOUND.

   Permintaannya mirip dengan berikut ini. Untuk mengetahui persyaratan lengkap guna membuat instance A3 Ultra, lihat Membuat instance A3 Ultra atau A4.

   POST https://compute.googleapis.com/compute/beta/projects/example-project/zones/us-central1-a/
   
   {
     {
       "machineType": "projects/example-project/zones/us-central1-a/machineTypes/a3-ultragpu-8g",
       "name": "example-instance",
       "reservationAffinity": {
         "consumeReservationType": "SPECIFIC_RESERVATION",
         "key": "compute.googleapis.com/reservation-name",
         "values":[
           "RESERVATION_URL"
         ],
       },
       "scheduling": {
         "instanceTerminationAction": "TERMINATION_ACTION",
         "provisioningModel": "RESERVATION_BOUND"
       },
       ...
     }
   }
   

   Isi permintaan mencakup nilai berikut:

   • RESERVATION_URL: URL pemesanan, yang diformat sebagai berikut:

     • Jika pemesanan yang dibuat otomatis ada di project Anda: example-reservation.

     • Jika pemesanan yang dibuat otomatis ada di project lain: projects/PROJECT_ID/reservations/example-reservation.

   • TERMINATION_ACTION: apakah Compute Engine menghentikan (STOP) atau menghapus (DELETE) VM di akhir periode reservasi.