本文整理汇总了Golang中k8s/io/kubernetes/plugin/pkg/scheduler/schedulercache.Resource.MilliCPU方法的典型用法代码示例。如果您正苦于以下问题：Golang Resource.MilliCPU方法的具体用法？Golang Resource.MilliCPU怎么用？Golang Resource.MilliCPU使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类k8s/io/kubernetes/plugin/pkg/scheduler/schedulercache.Resource的用法示例。
在下文中一共展示了Resource.MilliCPU方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Golang代码示例。
示例1: GetResourceRequest
func GetResourceRequest(pod *api.Pod) *schedulercache.Resource {
result := schedulercache.Resource{}
for _, container := range pod.Spec.Containers {
for rName, rQuantity := range container.Resources.Requests {
switch rName {
case api.ResourceMemory:
result.Memory += rQuantity.Value()
case api.ResourceCPU:
result.MilliCPU += rQuantity.MilliValue()
case api.ResourceNvidiaGPU:
result.NvidiaGPU += rQuantity.Value()
default:
if api.IsOpaqueIntResourceName(rName) {
// Lazily allocate this map only if required.
if result.OpaqueIntResources == nil {
result.OpaqueIntResources = map[api.ResourceName]int64{}
}
result.OpaqueIntResources[rName] += rQuantity.Value()
}
}
}
}
// take max_resource(sum_pod, any_init_container)
for _, container := range pod.Spec.InitContainers {
for rName, rQuantity := range container.Resources.Requests {
switch rName {
case api.ResourceMemory:
if mem := rQuantity.Value(); mem > result.Memory {
result.Memory = mem
}
case api.ResourceCPU:
if cpu := rQuantity.MilliValue(); cpu > result.MilliCPU {
result.MilliCPU = cpu
}
case api.ResourceNvidiaGPU:
if gpu := rQuantity.Value(); gpu > result.NvidiaGPU {
result.NvidiaGPU = gpu
}
default:
if api.IsOpaqueIntResourceName(rName) {
// Lazily allocate this map only if required.
if result.OpaqueIntResources == nil {
result.OpaqueIntResources = map[api.ResourceName]int64{}
}
value := rQuantity.Value()
if value > result.OpaqueIntResources[rName] {
result.OpaqueIntResources[rName] = value
}
}
}
}
}
return &result
}示例2: getResourceRequest
func getResourceRequest(pod *api.Pod) *schedulercache.Resource {
result := schedulercache.Resource{}
for _, container := range pod.Spec.Containers {
requests := container.Resources.Requests
result.Memory += requests.Memory().Value()
result.MilliCPU += requests.Cpu().MilliValue()
result.NvidiaGPU += requests.NvidiaGPU().Value()
}
// take max_resource(sum_pod, any_init_container)
for _, container := range pod.Spec.InitContainers {
requests := container.Resources.Requests
if mem := requests.Memory().Value(); mem > result.Memory {
result.Memory = mem
}
if cpu := requests.Cpu().MilliValue(); cpu > result.MilliCPU {
result.MilliCPU = cpu
}
}
return &result
}