Github user mridulm commented on the pull request:
https://github.com/apache/spark/pull/1391#issuecomment-48835618
That would be a function of your jobs.
Other apps would have a drastically different characteristics ... Which is
why we can't generalize to a simple fraction of executor memory.
It actually buys us nothing in general case ... Jobs will continue to fail
when it is incorrect : while wasting a lot of memory
On 13-Jul-2014 2:38 pm, "nishkamravi2" <[email protected]> wrote:
> Yes, I'm aware of the discussion on this issue in the past. Experiments
> confirm that overhead is a function of executor memory. Why and how can be
> figured out with due diligence and analysis. It may be a function of other
> parameters and the function may be fairly complex. However, the
> proportionality is undeniable. Besides, we are only adjusting the default
> value and making it a bit more resilient. The memory_overhead parameter
can
> still be configured by the developer separately. The constant additive
> factor makes little sense (empirically).
>
> â
> Reply to this email directly or view it on GitHub
> <https://github.com/apache/spark/pull/1391#issuecomment-48835500>.
>
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