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description= Create reservations of Compute Engine VM instances for a single project.;
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that can only be consumed by vms that specifically target it as explained in the following sections in this document then configure vms to consume that specific reservation configure vms to not consume reservations additionally you can specify a compact placement policy when creating a single project specific reservation a compact placement policy specifies that vms are to be located as close to each other as possible to reduce network latency specify an instance template to avoid errors when creating a reservation by specifying an instance template make sure of the following create your reservation in the same region and zone as the resources within the instance template any regional or zonal resources specified in an instance template such as a machine type or a persistent disk volume restrict the use of the template to the locations where those resources exist for example if your instance template specifies an existing persistent disk volume in zone us central1 a then you can only create your reservation in the same zone to check if an existing template specifies any resources that bind the template to a specific region or zone view the details of the instance template and look for references to regional or zonal resources inside of it if the instance template specifies a compact placement policy then make sure that the template specifies a supported machine type for compact placement policies otherwise creating the reservation fails to create a single project reservation by specifying an instance template select one of the following options console in the google cloud console go to the reservations page go to reservations click add_box create reservation the create a reservation page appears in the name field enter a name for your reservation in the region and zone lists select where you want to reserve resources optional to let custom training jobs or prediction jobs in vertex ai consume a reservation of gpu vms in the google cloud services section select share reservation in the use with vm instance section select one of the following options to allow matching vms to automatically consume this reservation select use reservation automatically to consume this reservation s resources only when you create matching vms that specifically target the reservation by name select select specific reservation in the resource details section do the following in the number of vm instances field enter the number of vms that you want to reserve to specify vm configurations by using an instance template select use instance template and then in the list that appears select the instance template in the auto delete section you can enable the auto delete option to let compute engine automatically delete the reservation at a specific date and time automatically deleting reservations can be useful to avoid unnecessary charges when you stop consuming the reservation to create the reservation click create the reservations page appears creating the reservation can take up to a minute to complete to verify when compute engine finishes creating it view your reservations gcloud to create a single project reservation use the gcloud compute reservations create command to create a single project reservation by specifying an instance template and without including any optional flags run the following command gcloud compute reservations create reservation_name source instance template instance_template_url vm count number_of_vms zone zone replace the following reservation_name the name of the reservation to create instance_template_url the url of an existing instance template specify one of the following values for a regional instance template projects project_id regions region instancetemplates instance_template_name for a global instance template instance_template_name number_of_vms the number of vms to reserve zone the zone in which to reserve resources for example to create a reservation for ten vms in zone us central1 a by specifying a global instance template run the following command gcloud compute reservations create my reservation source instance template example instance template vm count 10 zone us central1 a optionally you can do one or more of the following to specify that only vms that specifically target this reservation can consume it include the require specific reservation flag gcloud compute reservations create reservation_name source instance template instance_template_url require specific reservation vm count number_of_vms zone zone to allow a reservation of gpu vms to be consumed by custom training jobs or prediction jobs in vertex ai include the reservation sharing policy flag set to allow_all gcloud compute reservations create reservation_name source instance template instance_template_url reservation sharing policy allow_all vm count number_of_vms zone zone to enable compute engine to automatically delete the reservation select one of the following methods preview the delete at time and delete after duration flags this feature is subject to the pre ga offerings terms in the general service terms section of the service specific terms pre ga features are available as is and might have limited support for more information see the launch stage descriptions to delete the reservation at a specific date and time use the gcloud beta compute reservations create command with the delete at time flag gcloud beta compute reservations create reservation_name delete at time delete_at_time source instance template instance_template_url vm count number_of_vms zone zone replace delete_at_time with a date and time formatted as an rfc 3339 timestamp which must be as follows none yyyy mm dd t hh mm ss offset replace the following yyyy mm dd a date formatted as a 4 digit year 2 digit month and a 2 digit day of the month separated by hyphens hh mm ss a time formatted as a 2 digit hour using a 24 hour time 2 digit minutes and 2 digit seconds separated by colons offset the time zone formatted as an offset of coordinated universal time utc for example to use the pacific standard time pst specify 08 00 alternatively to use no offset specify z to delete the reservation after a specific duration use the gcloud beta compute reservations create command with the delete after duration flag gcloud beta compute reservations create reservation_name delete after duration delete_after_duration source instance template instance_template_url 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 from given template in particular zone func createreservation w io writer projectid zone reservationname sourcetemplate string error projectid your_project_id zone us west3 a reservationname your_reservation_name template 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 reservationsclient err compute newreservationsrestclient ctx if err nil return err defer reservationsclient close req computepb insertreservationrequest project projectid reservationresource computepb reservation name proto string reservationname zone proto string zone specificreservation computepb allocationspecificskureservation count proto int64 2 sourceinstancetemplate proto string sourcetemplate 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 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 createreservationforinstancetemplate 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 reservation string zone us central1 a name of the reservation you want to create string reservationname your_reservation_name the number of virtual machines you want to create int numberofvms 3 the uri of the instance template with global location to be used for creating the reservation string instancetemplateuri projects your_project_id global instancetemplates your_instance_template_name the uri of the instance template with regional location to be used for creating the reservation for us central1 region in this case string instancetemplateuri projects your_project_id regions us central1 instancetemplates your_instance_template_name createreservationforinstancetemplate projectid reservationname instancetemplateuri numberofvms zone creates a reservation in a project for the instance template public static reservation createreservationforinstancetemplate string projectid string reservationname string instancetemplateuri int numberofvms string zone 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 try reservationsclient reservationsclient reservationsclient create reservation reservation reservation newbuilder setname reservationname setzone zone setspecificreservation allocationspecificskureservation newbuilder set the number of instances setcount numberofvms set the instance template to be used for creating the reservation setsourceinstancetemplate instancetemplateuri build build operation response reservationsclient insertasync projectid zone reservation get 3 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 and where the instance template exists 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 the name of an existing instance template todo developer uncomment and update instancetemplatename before running the sample const instancetemplatename pernament region template name the location of the instance template todo developer uncomment the location variable depending on which template you want to use the location for a regional instance template regions region replace region with the region where the instance template is located if you specify a regional instance template then you can only reserve vms within the same region as the template s region const location regions zone slice 0 2 the location for a global instance template const location global async function callcreatecomputereservationinstancetemplate create reservation for 3 vms in zone us central1 a by specifying a instance template const specificreservation new compute allocationspecificskureservation count vmsnumber sourceinstancetemplate projects projectid location instancetemplates instancetemplatename create a reservation const reservation new compute reservation name reservationname 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 callcreatecomputereservationinstancetemplate 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_reservation_from_template project_id str reservation_name str template str compute_v1 reservation create a new reservation based on an existing template args project_id project id or project number of the cloud project you use reservation_name the name of new reservation template existing template path following format...
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