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From Rishi Mishra <rmis...@snappydata.io>
Subject Re: spark.executor.memory ? is used just for cache RDD or both cache RDD and the runtime of cores on worker?
Date Fri, 05 Feb 2016 05:29:09 GMT
You would probably like to see
http://spark.apache.org/docs/latest/configuration.html#memory-management.
Other config parameters are also explained there.

On Fri, Feb 5, 2016 at 10:56 AM, charles li <charles.upboy@gmail.com> wrote:

> if set spark.executor.memory = 2G for each worker [ 10 in total ]
>
> does it mean I can cache 20G RDD in memory ? if so, how about the memory
> for code running in each process on each worker?
>
> thanks.
>
>
> --
> and is there any materials about memory management or resource management
> in spark ? I want to put spark in production, but have little knowing about
> the resource management in spark, great thanks again
>
>
> --
> *--------------------------------------*
> a spark lover, a quant, a developer and a good man.
>
> http://github.com/litaotao
>



-- 
Regards,
Rishitesh Mishra,
SnappyData . (http://www.snappydata.io/)

https://in.linkedin.com/in/rishiteshmishra

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