yangwwei commented on code in PR #37622:
URL: https://github.com/apache/spark/pull/37622#discussion_r952960794


##########
docs/running-on-kubernetes.md:
##########
@@ -1811,6 +1811,50 @@ spec:
   queue: default
 ```
 
+#### Using Apache YuniKorn as Customized Scheduler for Spark on Kubernetes
+
+[Apache YuniKorn](https://yunikorn.apache.org/) is a resource scheduler for 
Kubernetes that provides advanced batch scheduling
+capabilities, such as job queuing, resource fairness, min/max queue capacity 
and flexible job ordering policies.
+For available Apache YuniKorn features, please refer to [this 
doc](https://yunikorn.apache.org/docs/next/get_started/core_features).
+
+##### Prerequisites
+
+Install Apache YuniKorn:
+
+```bash
+helm repo add yunikorn https://apache.github.io/yunikorn-release
+helm repo update
+kubectl create namespace yunikorn
+helm install yunikorn yunikorn/yunikorn --namespace yunikorn
+```
+
+the above steps will install the latest version of YuniKorn on an existing 
Kubernetes cluster.
+
+##### Get started
+
+Submit Spark jobs with the following extra options:
+
+```bash
+--conf spark.kubernetes.scheduler.name=yunikorn
+--conf spark.kubernetes.driver.annotation.yunikorn.apache.org/app-id={{APP_ID}}
+--conf 
spark.kubernetes.executor.annotation.yunikorn.apache.org/app-id={{APP_ID}}
+```
+
+Note, `{{APP_ID}}` is the builtin variable that will be substituted with Spark 
job ID automatically.
+With the above configuration, the job will be scheduled by YuniKorn scheduler 
instead of the default Kubernetes scheduler.
+
+##### Work with YuniKorn queues
+
+Apache YuniKorn supports 2 types of resource queues:
+
+- Static
+- Dynamic
+
+The static queues are predefined in YuniKorn configmap, and the dynamic queues 
are automatically created by the scheduler
+based on [placement 
rules](https://yunikorn.apache.org/docs/next/user_guide/placement_rules). Spark 
supports to run with

Review Comment:
   Fixed to the current version



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