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Kubernetes v1.19 [beta]
You can customize the behavior of the
kube-scheduler by writing a configuration
file and passing its path as a command line argument.
A scheduling Profile allows you to configure the different stages of scheduling in the kube-scheduler. Each stage is exposed in a extension point. Plugins provide scheduling behaviors by implementing one or more of these extension points.
You can specify scheduling profiles by running
kube-scheduler --config <filename>,
A minimal configuration looks as follows:
apiVersion: kubescheduler.config.k8s.io/v1beta1 kind: KubeSchedulerConfiguration clientConnection: kubeconfig: /etc/srv/kubernetes/kube-scheduler/kubeconfig
A scheduling Profile allows you to configure the different stages of scheduling in the kube-scheduler. Each stage is exposed in an extension point. Plugins provide scheduling behaviors by implementing one or more of these extension points.
You can configure a single instance of
kube-scheduler to run
Scheduling happens in a series of stages that are exposed through the following extension points:
QueueSort: These plugins provide an ordering function that is used to sort pending Pods in the scheduling queue. Exactly one queue sort plugin may be enabled at a time.
PreFilter: These plugins are used to pre-process or check information about a Pod or the cluster before filtering. They can mark a pod as unschedulable.
Filter: These plugins are the equivalent of Predicates in a scheduling Policy and are used to filter out nodes that can not run the Pod. Filters are called in the configured order. A pod is marked as unschedulable if no nodes pass all the filters.
PreScore: This is an informational extension point that can be used for doing pre-scoring work.
Score: These plugins provide a score to each node that has passed the filtering phase. The scheduler will then select the node with the highest weighted scores sum.
Reserve: This is an informational extension point that notifies plugins when resources have been reserved for a given Pod. Plugins also implement an
Unreservecall that gets called in the case of failure during or after
Permit: These plugins can prevent or delay the binding of a Pod.
PreBind: These plugins perform any work required before a Pod is bound.
Bind: The plugins bind a Pod to a Node. Bind plugins are called in order and once one has done the binding, the remaining plugins are skipped. At least one bind plugin is required.
PostBind: This is an informational extension point that is called after a Pod has been bound.
For each extension point, you could disable specific default plugins or enable your own. For example:
apiVersion: kubescheduler.config.k8s.io/v1beta1 kind: KubeSchedulerConfiguration profiles: - plugins: score: disabled: - name: NodeResourcesLeastAllocated enabled: - name: MyCustomPluginA weight: 2 - name: MyCustomPluginB weight: 1
You can use
* as name in the disabled array to disable all default plugins
for that extension point. This can also be used to rearrange plugins order, if
UnReserve: This is an informational extension point that is called if a Pod is rejected after being reserved and put on hold by a
The following plugins, enabled by default, implement one or more of these extension points:
SelectorSpread: Favors spreading across nodes for Pods that belong to Services, ReplicaSets and StatefulSets. Extension points:
ImageLocality: Favors nodes that already have the container images that the Pod runs. Extension points:
TaintToleration: Implements taints and tolerations. Implements extension points:
NodeName: Checks if a Pod spec node name matches the current node. Extension points:
NodePorts: Checks if a node has free ports for the requested Pod ports. Extension points:
NodePreferAvoidPods: Scores nodes according to the node annotation
scheduler.alpha.kubernetes.io/preferAvoidPods. Extension points:
NodeAffinity: Implements node selectors and node affinity. Extension points:
PodTopologySpread: Implements Pod topology spread. Extension points:
NodeUnschedulable: Filters out nodes that have
.spec.unschedulableset to true. Extension points:
NodeResourcesFit: Checks if the node has all the resources that the Pod is requesting. Extension points:
NodeResourcesBalancedAllocation: Favors nodes that would obtain a more balanced resource usage if the Pod is scheduled there. Extension points:
NodeResourcesLeastAllocated: Favors nodes that have a low allocation of resources. Extension points:
VolumeBinding: Checks if the node has or if it can bind the requested volumes. Extension points:
VolumeRestrictions: Checks that volumes mounted in the node satisfy restrictions that are specific to the volume provider. Extension points:
VolumeZone: Checks that volumes requested satisfy any zone requirements they might have. Extension points:
NodeVolumeLimits: Checks that CSI volume limits can be satisfied for the node. Extension points:
EBSLimits: Checks that AWS EBS volume limits can be satisfied for the node. Extension points:
GCEPDLimits: Checks that GCP-PD volume limits can be satisfied for the node. Extension points:
AzureDiskLimits: Checks that Azure disk volume limits can be satisfied for the node. Extension points:
InterPodAffinity: Implements inter-Pod affinity and anti-affinity. Extension points:
PrioritySort: Provides the default priority based sorting. Extension points:
DefaultBinder: Provides the default binding mechanism. Extension points:
DefaultPreemption: Provides the default preemption mechanism. Extension points:
You can also enable the following plugins, through the component config APIs, that are not enabled by default:
NodeResourcesMostAllocated: Favors nodes that have a high allocation of resources. Extension points:
RequestedToCapacityRatio: Favor nodes according to a configured function of the allocated resources. Extension points:
CinderVolume: Checks that OpenStack Cinder volume limits can be satisfied for the node. Extension points:
NodeLabel: Filters and / or scores a node according to configured label(s). Extension points:
ServiceAffinity: Checks that Pods that belong to a Service fit in a set of nodes defined by configured labels. This plugin also favors spreading the Pods belonging to a Service across nodes. Extension points:
You can configure
kube-scheduler to run more than one profile.
Each profile has an associated scheduler name and can have a different set of
plugins configured in its extension points.
With the following sample configuration, the scheduler will run with two profiles: one with the default plugins and one with all scoring plugins disabled.
apiVersion: kubescheduler.config.k8s.io/v1beta1 kind: KubeSchedulerConfiguration profiles: - schedulerName: default-scheduler - schedulerName: no-scoring-scheduler plugins: preScore: disabled: - name: '*' score: disabled: - name: '*'
Pods that want to be scheduled according to a specific profile can include
the corresponding scheduler name in its
By default, one profile with the scheduler name
default-scheduler is created.
This profile includes the default plugins described above. When declaring more
than one profile, a unique scheduler name for each of them is required.
If a Pod doesn't specify a scheduler name, kube-apiserver will set it to
default-scheduler. Therefore, a profile with this scheduler name should exist
to get those pods scheduled.
Note: Pod's scheduling events have
.spec.schedulerNameas the ReportingController. Events for leader election use the scheduler name of the first profile in the list.
Note: All profiles must use the same plugin in the QueueSort extension point and have the same configuration parameters (if applicable). This is because the scheduler only has one pending pods queue.
- Read the kube-scheduler reference
- Learn about scheduling
- Read the kube-scheduler configuration (v1beta1) reference