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description= Create reservations of Compute Engine VM instances that are shared by multiple projects.;
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y 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_shared_reservation project_id str zone str us central1 a reservation_name your reservation name shared_project_id str shared project id 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 shared_project_id str the id of the project that the reservation is shared with returns reservation object that represents the new reservation instance_properties compute_v1 allocationspecificskuallocationreservedinstanceproperties machine_type n1 standard 1 optional specifies amount of local ssd to reserve with each instance local_ssds compute_v1 allocationspecificskuallocationallocatedinstancepropertiesreserveddisk disk_size_gb 375 interface nvme 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 share_settings compute_v1 sharesettings share_type specific_projects project_map shared_project_id compute_v1 sharesettingsprojectconfig project_id shared_project_id 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 shared_project next iter reservation share_settings project_map values print name reservation name print status reservation status print shared project shared_project example response name your reservation name status ready shared project project_id 123456789012 return reservation rest to create a shared reservation make a post request to the reservations insert method in the request body include the following the projectmap field the sharetype field set to specific_projects for example to create a shared reservation by specifying an instance template without including any optional fields and share the reservation with two consumer projects make the following post request post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 specificreservation count number_of_vms sourceinstancetemplate instance_template_url replace the following project_id the id of the project where you want to reserve resources and where the instance template exists zone the zone in which to reserve resources reservation_name the name of the reservation to create consumer_project_id_1 and consumer_project_id_2 the ids of projects that can consume this reservation you can include up to 100 consumer projects these projects must be in the same organization as the owner project don t include the owner project by default it is already allowed to consume the reservation number_of_vms the number of vms to reserve instance_template_url the url of an existing instance template which must exist in your project 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 for example to create a reservation for ten vms in zone us central1 a by specifying a global instance template and share the reservation with projects project 1 and project 2 make the following post request post https compute googleapis com compute v1 projects example project zones us central1 a reservations name my reservation sharesettings sharetype specific_projects projectmap project 1 projectid project 1 project 2 projectid project 2 specificreservation count 10 sourceinstancetemplate example instance template 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 specificreservationrequired field in the request body and set the field to true for example to create a specific reservation by specifying an instance template and share the reservation with two consumer projects make a request as follows post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 specificreservation count number_of_vms sourceinstancetemplate instance_template_url specificreservationrequired true to let custom training jobs or prediction jobs in vertex ai consume a reservation of gpu vms include the servicesharetype field and set it to allow_all post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name reservationsharingpolicy servicesharetype allow_all sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 specificreservation count number_of_vms sourceinstancetemplate instance_template_url to enable compute engine to automatically delete the reservation select one of the following methods preview the deleteattime and deleteafterduration fields 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 make a post request to the beta reservations insert method in the request body include the deleteattime field for example to create a reservation by specifying an instance template auto delete the reservation at a specific date and time and share the reservation with two consumer projects make a request as follows post https compute googleapis com compute beta projects project_id zones zone reservations deleteattime delete_at_time name reservation_name sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 specificreservation count number_of_vms sourceinstancetemplate instance_template_url replace delete_at_time with a date and time formatted as an rfc 3339 timestamp which must be as follows 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 make a post request to the beta reservations insert method in the request body include the deleteafterduration field for example to create a reservation by specifying an instance template auto delete the reservation after a specific duration and share the reservation with two consumer projects make a request as follows post https compute googleapis com compute beta projects project_id zones zone reservations deleteafterduration seconds delete_after_duration name reservation_name sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 specificreservation count number_of_vms sourceinstancetemplate instance_template_url replace delete_after_duration with a duration in seconds for example specify 86400 for 86 400 seconds 1 day specify an existing vm you can only create a shared reservation based on an existing vm in the same project and zone as the vm after creating the reservation you can consume it by creating vms with properties that match the reference vm you can do this by doing one of the following create and use an instance template as follows create an instance template based on the reference vm without overriding the reference vm s properties note you can t create an instance template based on the reference vm outside of the vm s project for the projects that the reservation is shared with you must create similar instance templates in those projects create vms using the newly created template by doing one or both of the following create a single vm create a zonal managed instance group mig create a vm with properties that exactly match the reference vm as follows in the owner project create a vm based on the reference vm without changing the properties of the vm that you re creating in the consumer projects create a vm while manually ensuring that its properties and the reference vm s properties match to create a shared reservation that uses the properties of an existing vm do the following 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 in the share type section do the following to share a reservation with other projects select shared click add add projects and then select the projects from the current project s organization that you want to share the reservation with you can select up to 100 consumer projects 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 a reference vm select use existing vm and then in the list that appears select the vm 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 specify properties directly to create a shared reservation by specifying properties directly 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 in the share type section do the following to share a reservation with other projects select shared click add add projects and then select the projects from the current project s organization that you want to share the reservation with you can select up to 100 consumer projects 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 specify the machine series and type that you want to reserve 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 shared reservation use the gcloud compute reservations create command with the share setting projects and share with flags to create a shared reservation by specifying properties directly and without including any optional flags run the following command gcloud compute reservations create reservation_name machine type machine_type share setting projects share with consumer_project_ids vm count number_of_vms zone zone replace the following reservation_name the name of the reservation to create machine_type a machine type to use for each vm consumer_project_ids a comma separated list of ids of projects that can consume this reservation for example project 1 project 2 you can include up to 100 consumer proj...
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