Hi team,
I'm kube-batch/Volcano founder, and I'm excited to hear that the spark
community also has such requirements :)
Volcano provides several features for batch workload, e.g. fair-share,
queue, reservation, preemption/reclaim and so on.
It has been used in several product environments with
:
> I don't know if it all works but some work was done to make cluster
> manager pluggable, see SPARK-13904.
>
> Tom
>
> On Wednesday, November 6, 2019, 07:22:59 PM CST, Klaus Ma <
> klaus1982...@gmail.com> wrote:
>
>
> Any suggestions?
>
> - Klaus
>
>
Any suggestions?
- Klaus
On Mon, Nov 4, 2019 at 5:04 PM Klaus Ma wrote:
> Hi team,
>
> AFAIK, we built k8s/yarn/mesos as resource manager; but I'd like to did
> some enhancement to them, e.g. integrate with Volcano
> <http://github.com/volcano-sh/volcano> in k8s. I
park home in docker for this case?
Da (Klaus), Ma (马达) | PMP® | Advisory Software Engineer
Platform Symphony/DCOS Development & Support, STG, IBM GCG
+86-10-8245 4084 | mad...@cn.ibm.com | http://www.cguru.net
Hi Timothy,
Thanks for your feedback, I logged
https://issues.apache.org/jira/browse/SPARK-11143 to trace this issue.
If any more suggestions, please let me know :).
Da (Klaus), Ma (马达) | PMP® | Advisory Software Engineer
Platform Symphony/DCOS Development & Support, STG, IBM GCG
+8
