111 lines
5.8 KiB
Go
111 lines
5.8 KiB
Go
/*
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Copyright 2018 The Kubernetes Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package processors
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import (
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"k8s.io/autoscaler/cluster-autoscaler/config"
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"k8s.io/autoscaler/cluster-autoscaler/processors/actionablecluster"
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"k8s.io/autoscaler/cluster-autoscaler/processors/customresources"
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"k8s.io/autoscaler/cluster-autoscaler/processors/nodegroupconfig"
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"k8s.io/autoscaler/cluster-autoscaler/processors/nodegroups"
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"k8s.io/autoscaler/cluster-autoscaler/processors/nodegroupset"
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"k8s.io/autoscaler/cluster-autoscaler/processors/nodeinfos"
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"k8s.io/autoscaler/cluster-autoscaler/processors/nodeinfosprovider"
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"k8s.io/autoscaler/cluster-autoscaler/processors/nodes"
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"k8s.io/autoscaler/cluster-autoscaler/processors/pods"
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"k8s.io/autoscaler/cluster-autoscaler/processors/scaledowncandidates"
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"k8s.io/autoscaler/cluster-autoscaler/processors/status"
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)
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// AutoscalingProcessors are a set of customizable processors used for encapsulating
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// various heuristics used in different parts of Cluster Autoscaler code.
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type AutoscalingProcessors struct {
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// PodListProcessor is used to process list of unschedulable pods before autoscaling.
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PodListProcessor pods.PodListProcessor
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// NodeGroupListProcessor is used to process list of NodeGroups that can be used in scale-up.
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NodeGroupListProcessor nodegroups.NodeGroupListProcessor
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// NodeGroupSetProcessor is used to divide scale-up between similar NodeGroups.
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NodeGroupSetProcessor nodegroupset.NodeGroupSetProcessor
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// ScaleUpStatusProcessor is used to process the state of the cluster after a scale-up.
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ScaleUpStatusProcessor status.ScaleUpStatusProcessor
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// ScaleDownNodeProcessor is used to process the nodes of the cluster before scale-down.
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ScaleDownNodeProcessor nodes.ScaleDownNodeProcessor
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// ScaleDownSetProcessor is used to make final selection of nodes to scale-down.
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ScaleDownSetProcessor nodes.ScaleDownSetProcessor
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// ScaleDownStatusProcessor is used to process the state of the cluster after a scale-down.
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ScaleDownStatusProcessor status.ScaleDownStatusProcessor
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// AutoscalingStatusProcessor is used to process the state of the cluster after each autoscaling iteration.
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AutoscalingStatusProcessor status.AutoscalingStatusProcessor
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// NodeGroupManager is responsible for creating/deleting node groups.
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NodeGroupManager nodegroups.NodeGroupManager
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// NodeInfoProcessor is used to process nodeInfos after they're created.
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NodeInfoProcessor nodeinfos.NodeInfoProcessor
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// TemplateNodeInfoProvider is used to create the initial nodeInfos set.
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TemplateNodeInfoProvider nodeinfosprovider.TemplateNodeInfoProvider
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// NodeGroupConfigProcessor provides config option for each NodeGroup.
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NodeGroupConfigProcessor nodegroupconfig.NodeGroupConfigProcessor
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// CustomResourcesProcessor is interface defining handling custom resources
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CustomResourcesProcessor customresources.CustomResourcesProcessor
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// ActionableClusterProcessor is interface defining whether the cluster is in an actionable state
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ActionableClusterProcessor actionablecluster.ActionableClusterProcessor
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// ScaleDownCandidatesNotifier is used to Update and Register new scale down candidates observer.
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ScaleDownCandidatesNotifier *scaledowncandidates.ObserversList
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}
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// DefaultProcessors returns default set of processors.
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func DefaultProcessors() *AutoscalingProcessors {
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return &AutoscalingProcessors{
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PodListProcessor: pods.NewDefaultPodListProcessor(),
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NodeGroupListProcessor: nodegroups.NewDefaultNodeGroupListProcessor(),
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NodeGroupSetProcessor: nodegroupset.NewDefaultNodeGroupSetProcessor([]string{}, config.NodeGroupDifferenceRatios{
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MaxAllocatableDifferenceRatio: config.DefaultMaxAllocatableDifferenceRatio,
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MaxCapacityMemoryDifferenceRatio: config.DefaultMaxCapacityMemoryDifferenceRatio,
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MaxFreeDifferenceRatio: config.DefaultMaxFreeDifferenceRatio,
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}),
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ScaleUpStatusProcessor: status.NewDefaultScaleUpStatusProcessor(),
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ScaleDownNodeProcessor: nodes.NewPreFilteringScaleDownNodeProcessor(),
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ScaleDownSetProcessor: nodes.NewPostFilteringScaleDownNodeProcessor(),
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ScaleDownStatusProcessor: status.NewDefaultScaleDownStatusProcessor(),
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AutoscalingStatusProcessor: status.NewDefaultAutoscalingStatusProcessor(),
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NodeGroupManager: nodegroups.NewDefaultNodeGroupManager(),
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NodeInfoProcessor: nodeinfos.NewDefaultNodeInfoProcessor(),
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NodeGroupConfigProcessor: nodegroupconfig.NewDefaultNodeGroupConfigProcessor(),
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CustomResourcesProcessor: customresources.NewDefaultCustomResourcesProcessor(),
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ActionableClusterProcessor: actionablecluster.NewDefaultActionableClusterProcessor(),
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TemplateNodeInfoProvider: nodeinfosprovider.NewDefaultTemplateNodeInfoProvider(nil),
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ScaleDownCandidatesNotifier: scaledowncandidates.NewObserversList(),
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}
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}
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// CleanUp cleans up the processors' internal structures.
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func (ap *AutoscalingProcessors) CleanUp() {
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ap.PodListProcessor.CleanUp()
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ap.NodeGroupListProcessor.CleanUp()
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ap.NodeGroupSetProcessor.CleanUp()
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ap.ScaleUpStatusProcessor.CleanUp()
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ap.ScaleDownSetProcessor.CleanUp()
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ap.ScaleDownStatusProcessor.CleanUp()
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ap.AutoscalingStatusProcessor.CleanUp()
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ap.NodeGroupManager.CleanUp()
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ap.ScaleDownNodeProcessor.CleanUp()
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ap.NodeInfoProcessor.CleanUp()
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ap.NodeGroupConfigProcessor.CleanUp()
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ap.CustomResourcesProcessor.CleanUp()
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ap.TemplateNodeInfoProvider.CleanUp()
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ap.ActionableClusterProcessor.CleanUp()
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}
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