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 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