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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
>