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Posted to user@spark.apache.org by "Saurabh Malviya (samalviy)" <sa...@cisco.com> on 2016/08/26 17:29:28 UTC

EMR for spark job - instance type suggestion

We are going to use EMR cluster for spark jobs in aws. Any suggestion for instance type to be used.

M3.xlarge or r3.xlarge.

Details:

1)      We are going to run couple of streaming jobs so we need on demand instance type.

2)      There is no data on hdfs/s3 all data pull from kafka or elastic search


-Saurabh

Re: EMR for spark job - instance type suggestion

Posted by Gavin Yue <yu...@gmail.com>.
I tried both M4 and R3.  R3 is slightly more expensive, but has larger
memory.

If you doing a lot of in-memory staff, like Join.   I recommend R3.

Otherwise M4 is fine.  Also I remember M4 is EBS instance, so you have to
pay for additional EBS cost as well.



On Fri, Aug 26, 2016 at 10:29 AM, Saurabh Malviya (samalviy) <
samalviy@cisco.com> wrote:

> We are going to use EMR cluster for spark jobs in aws. Any suggestion for
> instance type to be used.
>
>
>
> M3.xlarge or r3.xlarge.
>
>
>
> Details:
>
> 1)      We are going to run couple of streaming jobs so we need on demand
> instance type.
>
> 2)      There is no data on hdfs/s3 all data pull from kafka or elastic
> search
>
>
>
>
>
> -Saurabh
>