Github user mridulm commented on the pull request:
https://github.com/apache/spark/pull/894#issuecomment-44366613
The entire process tree is tracked ...
Note that yarn allocates in multiples of memory slots and kills only when
the container requirement is violated.
On 28-May-2014 10:36 am, "Patrick Wendell" <[email protected]> wrote:
> Hey @tgravescs <https://github.com/tgravescs>, one thing that could
> affect this is PySpark. In that case there are python VM's spawned by the
> executor which could increase the total memory used. Will YARN track the
> memory usage of sub-processes when deciding on allocation limits?
>
> â
> Reply to this email directly or view it on
GitHub<https://github.com/apache/spark/pull/894#issuecomment-44366137>
> .
>
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