[GitHub] [spark] yangwwei commented on a diff in pull request #37622: [SPARK-40187][DOCS] Add `Apache YuniKorn` scheduler docs

[GitBox <gi...@apache.org>]

yangwwei commented on code in PR #37622:
URL: https://github.com/apache/spark/pull/37622#discussion_r952954104


##########
docs/running-on-kubernetes.md:
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@@ -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).

Review Comment:
   hi @dongjoon-hyun This is how the doc site works, next -> is the current under-development version, we shouldn't use this, that's a good point; but I think we can use the latest stable version: this points to https://yunikorn.apache.org/docs/. Only the past versions are accessible via https://yunikorn.apache.org/docs/{VERSION_NUM}, that's why you did not see 1.0.0 there, 1.0.0 is the current stable version.
   
   If we use a hard-coded version, e.g 1.0.0 here, we will need to come back to update the doc quite often, I don't feel that is good. So my question is: is it better to use the latest stable version here or a hard-coded version that will need updates over time? Please let me know, thanks!



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