Hi,
Well, I doesn't find original documentation, but according to
http://qnalist.com/questions/2791828/about-the-cpu-cores-and-cpu-usage
<http://qnalist.com/questions/2791828/about-the-cpu-cores-and-cpu-usage> ,
the vcores is not for physics cpu core but for "virtual" cores.
And I used top command to monitor the cpu utilization during the spark task.
The spark can use all cpu even I leave --executor-cores as default(1).
Hope that it can be a help.
Cheers
Gen
Gen wrote
> Hi,
>
> Maybe it is a stupid question, but I am running spark on yarn. I request
> the resources by the following command:
> {code}
> ./spark-submit --master yarn-client --num-executors #number of worker
> --executor-cores #number of cores. ...
> {code}
> However, after launching the task, I use
/
> yarn node -status ID
/
> to monitor the situation of cluster. It shows that the number of Vcores
> used for each container is always 1 no matter what number I pass by
> --executor-cores.
> Any ideas how to solve this problem? Thanks a lot in advance for your
> help.
>
> Cheers
> Gen
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