Golang util.GetNonzeroRequests函数代码示例

func calculateBalancedResourceAllocation(pod *api.Pod, node api.Node, pods []*api.Pod) schedulerapi.HostPriority {
	totalMilliCPU := int64(0)
	totalMemory := int64(0)
	score := int(0)
	for _, existingPod := range pods {
		for _, container := range existingPod.Spec.Containers {
			cpu, memory := priorityutil.GetNonzeroRequests(&container.Resources.Requests)
			totalMilliCPU += cpu
			totalMemory += memory
		}
	}
	// Add the resources requested by the current pod being scheduled.
	// This also helps differentiate between differently sized, but empty, nodes.
	for _, container := range pod.Spec.Containers {
		cpu, memory := priorityutil.GetNonzeroRequests(&container.Resources.Requests)
		totalMilliCPU += cpu
		totalMemory += memory
	}

	capacityMilliCPU := node.Status.Allocatable.Cpu().MilliValue()
	capacityMemory := node.Status.Allocatable.Memory().Value()

	cpuFraction := fractionOfCapacity(totalMilliCPU, capacityMilliCPU)
	memoryFraction := fractionOfCapacity(totalMemory, capacityMemory)
	if cpuFraction >= 1 || memoryFraction >= 1 {
		// if requested >= capacity, the corresponding host should never be preferrred.
		score = 0
	} else {
		// Upper and lower boundary of difference between cpuFraction and memoryFraction are -1 and 1
		// respectively. Multilying the absolute value of the difference by 10 scales the value to
		// 0-10 with 0 representing well balanced allocation and 10 poorly balanced. Subtracting it from
		// 10 leads to the score which also scales from 0 to 10 while 10 representing well balanced.
		diff := math.Abs(cpuFraction - memoryFraction)
		score = int(10 - diff*10)
	}
	glog.V(10).Infof(
		"%v -> %v: Balanced Resource Allocation, Absolute/Requested: (%d, %d) / (%d, %d) Score: (%d)",
		pod.Name, node.Name,
		totalMilliCPU, totalMemory,
		capacityMilliCPU, capacityMemory,
		score,
	)

	return schedulerapi.HostPriority{
		Host:  node.Name,
		Score: score,
	}
}

func calculateResource(pod *v1.Pod) (res Resource, non0_cpu int64, non0_mem int64) {
	for _, c := range pod.Spec.Containers {
		for rName, rQuant := range c.Resources.Requests {
			switch rName {
			case v1.ResourceCPU:
				res.MilliCPU += rQuant.MilliValue()
			case v1.ResourceMemory:
				res.Memory += rQuant.Value()
			case v1.ResourceNvidiaGPU:
				res.NvidiaGPU += rQuant.Value()
			default:
				if v1.IsOpaqueIntResourceName(rName) {
					// Lazily allocate opaque resource map.
					if res.OpaqueIntResources == nil {
						res.OpaqueIntResources = map[v1.ResourceName]int64{}
					}
					res.OpaqueIntResources[rName] += rQuant.Value()
				}
			}
		}

		non0_cpu_req, non0_mem_req := priorityutil.GetNonzeroRequests(&c.Resources.Requests)
		non0_cpu += non0_cpu_req
		non0_mem += non0_mem_req
		// No non-zero resources for GPUs or opaque resources.
	}
	return
}

// Calculate the resource occupancy on a node.  'node' has information about the resources on the node.
// 'pods' is a list of pods currently scheduled on the node.
func calculateResourceOccupancy(pod *api.Pod, node api.Node, nodeInfo *schedulercache.NodeInfo) schedulerapi.HostPriority {
	totalMilliCPU := nodeInfo.NonZeroRequest().MilliCPU
	totalMemory := nodeInfo.NonZeroRequest().Memory
	capacityMilliCPU := node.Status.Allocatable.Cpu().MilliValue()
	capacityMemory := node.Status.Allocatable.Memory().Value()

	// Add the resources requested by the current pod being scheduled.
	// This also helps differentiate between differently sized, but empty, nodes.
	for _, container := range pod.Spec.Containers {
		cpu, memory := priorityutil.GetNonzeroRequests(&container.Resources.Requests)
		totalMilliCPU += cpu
		totalMemory += memory
	}

	cpuScore := calculateScore(totalMilliCPU, capacityMilliCPU, node.Name)
	memoryScore := calculateScore(totalMemory, capacityMemory, node.Name)
	glog.V(10).Infof(
		"%v -> %v: Least Requested Priority, capacity %d millicores %d memory bytes, total request %d millicores %d memory bytes, score %d CPU %d memory",
		pod.Name, node.Name,
		capacityMilliCPU, capacityMemory,
		totalMilliCPU, totalMemory,
		cpuScore, memoryScore,
	)

	return schedulerapi.HostPriority{
		Host:  node.Name,
		Score: int((cpuScore + memoryScore) / 2),
	}
}

// Also used in most/least_requested nad metadata.
// TODO: despaghettify it
func getNonZeroRequests(pod *api.Pod) *schedulercache.Resource {
	result := &schedulercache.Resource{}
	for i := range pod.Spec.Containers {
		container := &pod.Spec.Containers[i]
		cpu, memory := priorityutil.GetNonzeroRequests(&container.Resources.Requests)
		result.MilliCPU += cpu
		result.Memory += memory
	}
	return result
}

func calculateResource(pod *api.Pod) (cpu int64, mem int64, non0_cpu int64, non0_mem int64) {
	for _, c := range pod.Spec.Containers {
		req := c.Resources.Requests
		cpu += req.Cpu().MilliValue()
		mem += req.Memory().Value()

		non0_cpu_req, non0_mem_req := priorityutil.GetNonzeroRequests(&req)
		non0_cpu += non0_cpu_req
		non0_mem += non0_mem_req
	}
	return
}

// Calculate the resource occupancy on a node.  'node' has information about the resources on the node.
// 'pods' is a list of pods currently scheduled on the node.
func calculateResourceOccupancy(pod *api.Pod, node api.Node, pods []*api.Pod) schedulerapi.HostPriority {
	totalMilliCPU := int64(0)
	totalMemory := int64(0)
	capacityMilliCPU := node.Status.Allocatable.Cpu().MilliValue()
	capacityMemory := node.Status.Allocatable.Memory().Value()

	for _, existingPod := range pods {
		for _, container := range existingPod.Spec.Containers {
			cpu, memory := priorityutil.GetNonzeroRequests(&container.Resources.Requests)
			totalMilliCPU += cpu
			totalMemory += memory
		}
	}
	// Add the resources requested by the current pod being scheduled.
	// This also helps differentiate between differently sized, but empty, nodes.
	for _, container := range pod.Spec.Containers {
		cpu, memory := priorityutil.GetNonzeroRequests(&container.Resources.Requests)
		totalMilliCPU += cpu
		totalMemory += memory
	}

	cpuScore := calculateScore(totalMilliCPU, capacityMilliCPU, node.Name)
	memoryScore := calculateScore(totalMemory, capacityMemory, node.Name)
	glog.V(10).Infof(
		"%v -> %v: Least Requested Priority, Absolute/Requested: (%d, %d) / (%d, %d) Score: (%d, %d)",
		pod.Name, node.Name,
		totalMilliCPU, totalMemory,
		capacityMilliCPU, capacityMemory,
		cpuScore, memoryScore,
	)

	return schedulerapi.HostPriority{
		Host:  node.Name,
		Score: int((cpuScore + memoryScore) / 2),
	}
}