Yikun edited a comment on pull request #35422:
URL: https://github.com/apache/spark/pull/35422#issuecomment-1036035298


   > Ur, it seems to fail.
   
   @dongjoon-hyun yep, there are some failure on arm deploy, but will adress 
soon by cc @william-wang https://github.com/volcano-sh/volcano/issues/2010
   
   > Do you think we can verify the further volcano scheduler features like the 
following?
   
   Yep, most of them are configuration introduce and  testing work, below cases 
will be added in integration test and added in Spark 3.3, I'm working these:
   
   1. [SPARK-38187](https://issues.apache.org/jira/browse/SPARK-38187): 
Resource reservation (it should be a separte PR with `minCPU/minMemory` 
introduced + integration test), driver and executor all started or nothing 
started, it is also often misunderstood as `gang`.
   2. [SPARK-38188](https://issues.apache.org/jira/browse/SPARK-38188): Queue 
scheduling (a separte PR with `queue` introduced + integration test)
   3. [SPARK-38189](https://issues.apache.org/jira/browse/SPARK-38189): 
Preemption scheduling  (a separte PR with `priorityClass` introduced  + 
integration test)
   4. [SPARK-38190](https://issues.apache.org/jira/browse/SPARK-38190): 
Fair-share scheduling (a separte PR with integration test)
   
   (later: I also updated the corresponding jira)
   
   The `topology`, `reclaim`, `backfill` scheduling will also supports in 
theory, but the integration test would be low priority in Spark 3.3, because 
from the actual use of spark on k8s, these scenarios are slightly less used, 
but I could try to validate if have time.


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