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+# [Newbie] Supporting Yunikorn and Kueue
+
+**Authors:**
+
+- @yuteng
+
+## 1 Executive Summary
+
+Providing kubernetes (k8s) resource management, gang scheduling and preemption for flyte applications by third-party software, including Apache Yunikorn and Kueue.
+
+## 2 Motivation
+
+Flyte supports multi-tenancy and various Kubernetes plugins.
+Some Kubernetes plugins may encounter into resource wastage when jobs partially start without performing any meaningful work. 
+A solution to this issue is gang scheduling, which guarantees that all worker pods derived from a CRD are scheduled simultaneously.
+Kueue or Apache Yunikorn support this mechanism. 
+Additionally, Yunikorn can map tenants and organizations to hierarchical queues to define resource quotas.
+Based on this setting, access control lists can be configured to grant access to users and groups.
+
+## 3 Proposed Implementation
+
+Kueue
+
+```yaml
+queueconfig:
+  scheduler: yunikorn
+  jobs:
+    - type: "ray"
+      gangscheduling: "placeholderTimeoutInSeconds=60 gangSchedulingStyle=hard"
+      allow-preemption: false
+    - type: "spark"
+      gangscheduling: "placeholderTimeoutInSeconds=30 gangSchedulingStyle=hard"
+      allow-preemption: true
+```
+
+`root.organization1.ray` is the queue of the ray job submitted by user1 belonging organization1. 
+
+ResourceFlavor allocates resource based on labels which indicates that category-based resource allocation by organization label is available.
+Thus, a clusterQueue including multiple resources represents the total acessaible resource for an organization.  
+| clusterQueue | localQueue |
+| --- | --- |
+| <organization name> | ray、spark、default |
+A tenant can submit organization-specific tasks to queues such as organization.ray, organization.spark and organization.default to track which job types are submittable.
+
+A scheduling plugin implements functions `SetSchedulerName`, `CreateLabels` and `CreateGroupLabels` to create labels and `schedulerName`.
+`CreateLabels` patches necassary labels, such as `queuename`, `user-info` and `applcationID`, to jobs.
+`CreateGroupLabels` supports creating `group-pod` and `task-group` labels based on incoming CRD if need. 
+`SetSchedulerName` set `schedulerName` field in `podTemplate`.
+
+```go
+type SchedulePlugin interface {
+  CreateLabels(taskCtx pluginsCore.TaskExecutionMetadata, o client.Object, cfg *config.K8sPluginConfig)
+  CreateGroupLabels(ctx context.Context, object client.Object, taskTmpl *core.TaskTemplate)
+  GetGroupLabels() (labels, annotations map[string]string)
+  SetSchedulerName(object client.Object)
+}
+
+type YunikornScheduablePlugin struct {
+	jobs map[string]string
+  Labels map[string]string
+  Annotations map[string]string
+}
+
+func (yk *YunikornSchedulPlugin) GetGroupLabels() (labels, annotations map[string]string) {
+  return yk.Labels, yk.Annotations
+}
+
+func (yk *YunikornSchedulePlugin) CreateLabels(taskCtx pluginsCore.TaskExecutionMetadata, o client.Object, cfg *config.K8sPluginConfig) (labels, annotations map[string]string) {
+  // Set queue name based on the job type and flyteidl.Identifier fields including "ResourceType", "Org" and "Name".
+  // 1.Clean yk.Labels and yk.Annotations
+  // 2.Add yunikorn.apache.org/user.info = <organization>.<Name>
+  // 3.Add yunikorn.apache.org/app-id = <ResourceType>-<uuid>
+  // 4.Add yunikorn.apache.org/queue = <organization>.<jobType>
+}
+
+func (yk *YunikornSchedulePlugin) CreateGroupLabels(ctx context.Context, object client.Object, taskTmpl *core.TaskTemplate) {
+  // 1.Add yunikorn.apache.org/task-group-name = yk.CreateTaskgroupName(ResourceType)
+  // 2.Add yunikorn.apache.org/task-groups = yk.CreateTaskgroup(object)
+  // 3.Add yunikorn.apache.org/schedulingPolicyParameters = yk.jobs[ResourceType]
+  // 4.Add yunikorn.apache.org/allow-preemption = true/false
+}
+
+type KueueScheduablePlugin struct {
+	jobs map[string]string
+  Labels map[string]string
+  Annotations map[string]string
+}
+
+func (k *KueueScheduablePlugin) GetGroupLabels() (labels, annotations map[string]string) {
+  return k.Labels, k.Annotations
+}
+
+func (k *KueueScheduablePlugin) CreateLabels(taskCtx pluginsCore.TaskExecutionMetadata, o client.Object, cfg *config.K8sPluginConfig) (labels, annotations map[string]string) {
+  // Set queue name based on the job type and flyteidl.Identifier field "Org".
+  // Clean k.Labels and k.Annotations
+  // 1.Add kueue.x-k8s.io/queue-name = <organization>.<jobtype>
+  // Update k.Labels and k.Annotations
+}
+
+func (k *KueueScheduablePlugin) CreateGroupLabels(ctx context.Context, object client.Object, taskTmpl *core.TaskTemplate) {
+  // Add Label "kueue.x-k8s.io/pod-group-name" and "kueue.x-k8s.io/pod-group-total-count" for spark、dask.
+  // If object type is ray CRD and kubeflow CRD which are supported by Kueue then skips.
+  // Update k.Labels and k.Annotations
+}
+```
+
+When a job comes, following things happens.
+1. `SetSchedulerName` sets the `schedulerName` with the specific scheduler name
+2. `CreateLabels` new basic labels based on the scheduler.
+3. `CreateGroupLabels` creates `kueue.x-k8s.io/pod-group-name` or `yunikorn.apache.org/task-groups` according to the calculatied results from CRD.
+4. Merging labels and annotations from `CreateLabels` and `CreateGroupLabels` to the CRD.
+
+```go
+type PluginManager struct {
+	id              string
+	plugin          k8s.Plugin
+	resourceToWatch runtime.Object
+	kubeClient      pluginsCore.KubeClient
+	metrics         PluginMetrics
+	// Per namespace-resource
+	backOffController    *backoff.Controller
+	resourceLevelMonitor *ResourceLevelMonitor
+	eventWatcher         EventWatcher
+}
+
+func (e *PluginManager) launchResource(ctx context.Context, tCtx pluginsCore.TaskExecutionContext) (pluginsCore.Transition, error) {
+  o, err := e.plugin.BuildResource(ctx, k8sTaskCtx)
+	if err != nil {
+		return pluginsCore.UnknownTransition, err
+	}
+  if p, ok := e.plugin.(k8s.ScheduablePlugin); ok {
+		o, err = p.SetSchedulerName(o)
+		if err != nil {
+			return pluginsCore.UnknownTransition, err
+		}
+	}
+}
+
+func (e *PluginManager) addObjectMetadata(taskCtx pluginsCore.TaskExecutionMetadata, o client.Object, cfg *config.K8sPluginConfig) {
+  var schedulerLabels, schedulerAnnotations map[string]string
+  if p, ok := e.plugin.(k8s.ScheduablePlugin); ok {
+		o, err = p.SetSchedulerName(o)
+		if err != nil {
+			return pluginsCore.UnknownTransition, err
+		}
+     p.CreateLabels(taskCtx, o)
+     p.CreateGroupLabels(taskCtx, o)
+     schedulerLabels, schedulerAnnotations = e.plugin.GetLabels()
+	}
+	o.SetNamespace(taskCtx.GetNamespace())
+	o.SetAnnotations(pluginsUtils.UnionMaps(cfg.DefaultAnnotations, o.GetAnnotations(), pluginsUtils.CopyMap(taskCtx.GetAnnotations(), schedulerAnnotations)))
+	o.SetLabels(pluginsUtils.UnionMaps(cfg.DefaultLabels, o.GetLabels(), pluginsUtils.CopyMap(taskCtx.GetLabels(), schedulerLabels)))
+	o.SetName(taskCtx.GetTaskExecutionID().GetGeneratedName())
+}
+```
+
+## 4 Metrics & Dashboards
+
+1. The Yunikorn scheduler add applications to a specific queue based on their user info, queue name for any application type.
+2. Yunikorn and Kueue provide gang scheduling through annotations For Ray and spark.
+3. Preemption behavior aligns with user-defined configuration in yunikorn.
+
+## 5 Drawbacks
+
+This appoarch doesn't offer a way to maintain consistency between the accuate resource quotas of groups and the configuration in scheduler.
+
+## 6 Alternatives
+
+## 7 Potential Impact and Dependencies
+
+Flyte support Spark, Ray and Kubeflow CRDs including Pytorch and TFjobs.
+The Spark and Ray operators have supported Yunikorn gang scheduling since task group calculation were implemented in these operators.
+Taskgroup calculation implementation in pods aspect in flyte or kubeflow is required for supporting kubeflow CRDs.
+In the other hand, Kueue currently doesn't support Spark CRD.
+| Operator | Yunikorn | Kueue |
+| --- | --- | --- |
+| Spark | v | x |
+| Ray | v | v |
+| Kubeflow | x | v |
+
+## 8 Unresolved questions
+
+## 9 Conclusion
+
+Yunikorn and Kueue support gang scheduling allowing all necassary pods to run sumultaneously when required resource are available.
+Yunikorn provides preemption calculating the priority of applications based on their priority class and priority score of the queue where they are submitted, in order to trigger high-prioirty or emergency application immediately.
+Yunikorn's hierarchical queue includes grarateed resources settings and ACLs.