Uses of Class
com.google.api.services.compute.model.AllocationAggregateReservationReservedResourceInfo

Packages that use AllocationAggregateReservationReservedResourceInfo

Package	Description
com.google.api.services.compute.model

Uses of AllocationAggregateReservationReservedResourceInfo in com.google.api.services.compute.model

Methods in com.google.api.services.compute.model that return AllocationAggregateReservationReservedResourceInfo

Modifier and Type	Method and Description
AllocationAggregateReservationReservedResourceInfo	AllocationAggregateReservationReservedResourceInfo.clone()
AllocationAggregateReservationReservedResourceInfo	AllocationAggregateReservationReservedResourceInfo.set(String fieldName, Object value)
AllocationAggregateReservationReservedResourceInfo	AllocationAggregateReservationReservedResourceInfo.setAccelerator(AllocationAggregateReservationReservedResourceInfoAccelerator accelerator) Properties of accelerator resources in this reservation.

Methods in com.google.api.services.compute.model that return types with arguments of type AllocationAggregateReservationReservedResourceInfo

Modifier and Type	Method and Description
List<AllocationAggregateReservationReservedResourceInfo>	AllocationAggregateReservation.getInUseResources() [Output only] List of resources currently in use.
List<AllocationAggregateReservationReservedResourceInfo>	AllocationAggregateReservation.getReservedResources() List of reserved resources (CPUs, memory, accelerators).

Method parameters in com.google.api.services.compute.model with type arguments of type AllocationAggregateReservationReservedResourceInfo

Modifier and Type	Method and Description
AllocationAggregateReservation	AllocationAggregateReservation.setInUseResources(List<AllocationAggregateReservationReservedResourceInfo> inUseResources) [Output only] List of resources currently in use.
AllocationAggregateReservation	AllocationAggregateReservation.setReservedResources(List<AllocationAggregateReservationReservedResourceInfo> reservedResources) List of reserved resources (CPUs, memory, accelerators).