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description= Create reservations of Compute Engine VM instances for a single project.;
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er duration delete_after_duration machine type machine_type vm count number_of_vms zone zone replace delete_after_duration with a duration in days hours minutes or seconds for example specify 30m for 30 minutes or 1d2h3m4s for 1 day 2 hours 3 minutes and 4 seconds go import context fmt io compute cloud google com go compute apiv1 computepb cloud google com go compute apiv1 computepb google golang org protobuf proto creates the reservation with accelerated image func createbasereservation w io writer projectid zone reservationname string error projectid your_project_id zone us west3 a reservationname your_reservation_name ctx context background reservationsclient err compute newreservationsrestclient ctx if err nil return err defer reservationsclient close creating reservation based on direct properties req computepb insertreservationrequest project projectid reservationresource computepb reservation name proto string reservationname zone proto string zone specificreservation computepb allocationspecificskureservation count proto int64 2 properties which allows customising instances instanceproperties computepb allocationspecificskuallocationreservedinstanceproperties attaching gpus to the reserved vms read more https cloud google com compute docs gpus n1 gpus guestaccelerators computepb acceleratorconfig acceleratorcount proto int32 1 acceleratortype proto string nvidia tesla t4 including local ssd disks localssds computepb allocationspecificskuallocationallocatedinstancepropertiesreserveddisk disksizegb proto int64 375 interface proto string nvme machinetype proto string n1 standard 2 specifying minimum cpu platform read more https cloud google com compute docs instances specify min cpu platform mincpuplatform proto string intel skylake zone zone op err reservationsclient insert ctx req if err nil return fmt errorf unable to create reservation w err if err op wait ctx err nil return fmt errorf unable to wait for the operation w err fmt fprintf w reservation created n return nil java import com google cloud compute v1 acceleratorconfig import com google cloud compute v1 allocationspecificskuallocationallocatedinstancepropertiesreserveddisk import com google cloud compute v1 allocationspecificskuallocationreservedinstanceproperties import com google cloud compute v1 allocationspecificskureservation import com google cloud compute v1 operation import com google cloud compute v1 reservation import com google cloud compute v1 reservationsclient import java io ioexception import java util concurrent executionexception import java util concurrent timeunit import java util concurrent timeoutexception public class createreservation 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 in which you want to create the disk string zone us central1 a name of the reservation you want to create string reservationname your_reservation_name number of instances in the reservation int numberofvms 3 createreservation projectid reservationname numberofvms zone creates reservation with optional flags public static reservation createreservation string projectid string reservationname int numberofvms string zone throws ioexception executionexception interruptedexception timeoutexception create the reservation with optional properties machine type of the instances in the reservation string machinetype n1 standard 2 number of accelerators to be attached to the instances in the reservation int numberofaccelerators 1 accelerator type to be attached to the instances in the reservation string acceleratortype nvidia tesla t4 minimum cpu platform to be attached to the instances in the reservation string mincpuplatform intel skylake local ssd size in gb to be attached to the instances in the reservation int localssdsize 375 local ssd interfaces to be attached to the instances in the reservation string localssdinterface1 nvme string localssdinterface2 scsi boolean specificreservationrequired true 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 reservationsclient reservationsclient reservationsclient create reservation reservation reservation newbuilder setname reservationname setzone zone setspecificreservationrequired specificreservationrequired setspecificreservation allocationspecificskureservation newbuilder set the number of instances setcount numberofvms set instance properties setinstanceproperties allocationspecificskuallocationreservedinstanceproperties newbuilder setmachinetype machinetype setmincpuplatform mincpuplatform addguestaccelerators acceleratorconfig newbuilder setacceleratorcount numberofaccelerators setacceleratortype acceleratortype build addlocalssds allocationspecificskuallocationallocatedinstancepropertiesreserveddisk newbuilder setdisksizegb localssdsize setinterface localssdinterface1 build addlocalssds allocationspecificskuallocationallocatedinstancepropertiesreserveddisk newbuilder setdisksizegb localssdsize setinterface localssdinterface2 build build build build operation response reservationsclient insertasync projectid zone reservation get 7 timeunit minutes if response haserror return null return reservationsclient get projectid zone reservationname node js import the compute library const computelib require google cloud compute const compute computelib protos google cloud compute v1 instantiate a reservationsclient const reservationsclient new computelib reservationsclient 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 reserve resources const projectid await reservationsclient getprojectid the zone in which to reserve resources const zone us central1 a the name of the reservation to create reservationname reservation 01 the number of vms to reserve const vmsnumber 3 machine type to use for each vm const machinetype n1 standard 4 async function callcreatecomputereservationfromproperties create specific reservation for 3 vms that each use an n1 predefined machine type with 4 vcpus const specificreservation new compute allocationspecificskureservation count vmsnumber instanceproperties machinetype to have the reserved vms use a specific minimum cpu platform instead of the zone s default cpu platform mincpuplatform intel skylake if you want to attach gpus to your reserved n1 vms update and uncomment guestaccelerators if needed guestaccelerators the number of gpus to add per reserved vm acceleratorcount 1 supported gpu model for n1 vms ensure that your chosen gpu model is available in the zone where you want to reserve resources acceleratortype nvidia tesla t4 if you want to add local ssd disks to each reserved vm update and uncomment localssds if needed you can specify up to 24 local ssd disks each local ssd disk is 375 gb localssds disksizegb 375 the type of interface you want each local ssd disk to use specify one of the following values nvme or scsi make sure that the machine type you specify for the reserved vms supports the chosen disk interfaces interface nvme create a reservation const reservation new compute reservation name reservationname zone specificreservation to specify that only vms that specifically target this reservation can consume it set specificreservationrequired field to true specificreservationrequired true const response await reservationsclient insert project projectid reservationresource reservation zone let operation response latestresponse wait for the create reservation operation to complete while operation status done operation await zoneoperationsclient wait operation operation name project projectid zone operation zone split pop console log reservation reservationname created await callcreatecomputereservationfromproperties python 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 create_compute_reservation project_id str zone str us central1 a reservation_name your reservation name compute_v1 reservation creates a compute reservation in gcp 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 returns reservation object that represents the new reservation instance_properties compute_v1 allocationspecificskuallocationreservedinstanceproperties machine_type n1 standard 1 optional specifies the minimum cpu platform for the vm instance min_cpu_platform intel ivy bridge optional specifies amount of local ssd to reserve with each instance local_ssds compute_v1 allocationspecificskuallocationallocatedinstancepropertiesreserveddisk disk_size_gb 375 interface nvme compute_v1 allocationspecificskuallocationallocatedinstancepropertiesreserveddisk disk_size_gb 375 interface scsi optional specifies the gpus allocated to each instance guest_accelerators compute_v1 acceleratorconfig accelerator_count 1 accelerator_type nvidia tesla t4 reservation compute_v1 reservation name reservation_name specific_reservation compute_v1 allocationspecificskureservation count 3 number of resources that are allocated if you use source_instance_template you must exclude the instance_properties field it can be a full or partial url source_instance_template projects project_id global instancetemplates my instance template instance_properties instance_properties create a client client compute_v1 reservationsclient operation client insert project project_id zone zone reservation_resource reservation wait_for_extended_operation operation reservation creation reservation client get project project_id zone zone reservation reservation_name print name reservation name print status reservation status print reservation specific_reservation example response name your reservation name status ready count 3 instance_properties machine_type n1 standard 1 local_ssds disk_size_gb 375 interface nvme return reservation terraform to create a single project reservation use the google_compute_reservation terraform resource for example to create a single project reservation for one n2 predefined machine type with 2 vcpus use the following resource resource google_compute_reservation default name gce reservation local zone us central1 a to specify a single project reservation omit the share_settings block default or set the share_type field to local share_settings share_type local specific_reservation count 1 instance_properties machine_type n2 standard 2 to let vms with affinity for any reservation consume this reservation omit the specific_reservation_required field default or set it to false specific_reservation_required false for more information about how to use terraform see using terraform with google cloud rest to create a single project reservation make a post request to the reservations insert method to create a single project reservation by specifying properties directly and without any including any optional fields make the following post request post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name specificreservation count number_of_vms instanceproperties machinetype machine_type replace the following project_id the id of the project where you want to reserve resources zone the zone in which to reserve resources reservation_name the name of the reservation to create number_of_vms the number of vms to reserve machine_type a machine type to use for each vm for example to create a reservation in zone us central1 a for ten vms that each use an n2 predefined machine type with 4 vcpus make the following post request post https compute googleapis com compute v1 projects example project zones us central1 a reservations name my reservation specificreservation count 10 instanceproperties machinetype n2 standard 4 optionally you can do one or more of the following to attach gpus to your reserved n1 vms include the guestaccelerators field in the request body post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name specificreservation count number_of_vms instanceproperties guestaccelerators acceleratorcount number_of_accelerators acceleratortype accelerator_type machinetype machine_type replace the following number_of_accelerators the number of gpus to add per reserved vm accelerator_type a supported gpu model for n1 vms ensure that your chosen gpu model is available in the zone where you want to reserve resources otherwise creating the reservation fails to attach local ssd disks to a machine type that doesn t include local ssd disks by default include the localssds field in the request body you can only attach local ssd disks of 375 gb for example to attach two local ssd disks to the machine type that you want to reserve make a request as follows post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name specificreservation count number_of_vms instanceproperties localssds disksizegb 375 interface interface_type disksizegb 375 interface interface_type machinetype machine_type replace interface_type with the type of di...
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