t to false:
spark.celeborn.client.spark.push.unsafeRow.fastWrite.enabled=false
Regards,
Keyong Zhou
rahul gidwani 于2024年6月18日周二 04:53写道:
> Hello,
>
> I was wondering if anyone here has tried running celeborn in k8s for spark
> on EMR? Our spark clusters run in EMR currently and want to uti
Dear Celeborn users,
If you are running AWS Spark with Celeborn, please make sure the following
spark config
is added, or there might be undefined behavior:
spark.celeborn.client.spark.push.unsafeRow.fastWrite.enabled=false
Regards,
Keyong Zhou
submission process. This should enable better productivity.
A PMC member helps manage and guide the direction of the project.
Please join me in congratulating Mridul Muralidharan!
Regards,
Keyong Zhou
ailure,
conf.clientRpcRegisterShuffleRpcAskTimeout(),
ClassTag$.MODULE$.apply(PbReportShuffleFetchFailureResponse.class));
...
}
cc Erik, Mridul
[1]
https://docs.google.com/document/d/1dkG6fww3g99VAb1wkphNlUES_MpngVPNg8601chmVp8
[2] https://lists.apache.org/thread/nogsgc61qh2zomdvhfbs4b0y88s3qtqg
Regards,
Keyon
submission process. This should enable better productivity.
A (P)PMC member helps manage and guide the direction of the project.
Please join me in congratulating Chandni Singh!
Thanks,
Keyong Zhou
I think so. Do you mind sending a PR to Celeborn? :)
Regards,
Keyong Zhou
Curtis Howard 于2024年3月12日 周二22:58写道:
> Thanks Keyong,
>
> I was able to build the 'client' JARs for Spark 3.2 / JDK21, and run
> simple tests; however I did face a runtime error similar
Hi Curtis,
With this PR https://github.com/apache/incubator-celeborn/pull/2385 you can
compile with JDK21 using following commands:
./build/make-distribution.sh -Pspark-3.5 -Pjdk-21
Regards,
Keyong Zhou
Curtis Howard 于2024年3月9日周六 02:38写道:
> Thank you Keyong!
>
> Related to this, ha
Hi Curtis,
Thanks for reaching out!
No there is no known blockers for Celeborn + Spark 3.2 + JDK17, and I think
there is a good chance that it could be used successfully.
Any problems with your test, feel free to let us know :)
Regards,
Keyong Zhou
Curtis Howard 于2024年3月8日周五 22:23写道:
>
,
Keyong Zhou
Curtis Howard 于2024年3月8日周五 22:32写道:
> Hi,
>
> The documentation mentions Spark 3.5 or greater is required for Spark
> dynamic allocation to be supported through Celeborn:
> https://celeborn.apache.org/docs/latest/deploy/#spark-configuration
> # Support Spark Dynamic R
submission process. This should enable better productivity.
A (P)PMC member helps manage and guide the direction of the project.
Please join me in congratulating Xiaofeng Jiang!
Thanks,
Keyong Zhou
submission process. This should enable better productivity.
A (P)PMC member helps manage and guide the direction of the project.
Please join me in congratulating Yihe Li!
Thanks,
Keyong Zhou
tinue contributing to the
project, pushing Celeborn to the next level together with all contributors
of the community!
Also, we are looking forward to add more and more committers to our project
:)
Thanks!
Keyong Zhou
o the project,
pushing Celeborn to the next level together with all contributors of the
community!
Also, we are looking forward to add more and more committers to our project
:)
Thanks!
Keyong Zhou
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