>From your description, putting Cassandra daemon on Spark cluster should be
feasible.

One aspect to be measured is how much locality can be achieved in this
setup - Cassandra is distributed NoSQL store.

Cheers

On Fri, Jan 22, 2016 at 6:13 PM, <vivek.meghanat...@wipro.com> wrote:

> + spark standalone cluster
> On Sat, Jan 23, 2016 at 7:33 am, Vivek Meghanathan (WT01 - NEP) <
> vivek.meghanat...@wipro.com> wrote:
>
> We have the setup on Google cloud platform. Each node has 8 CPU + 30GB
> memory. 10 nodes for spark another 9nodes for Cassandra.
> We are using spark 1.3.0 and Datastax bundle 4.5.9(which has 2.0.x
> Cassandra).
> Spark master and worker daemon uses Xmx & Xms 4G. We have not changed the
> default setting of Cassandra, should we be increasing the JVM memory?
>
> we have 9 streaming jobs the core usage varies from 2-6 and memory usage
> from 1 - 4 gb.
>
> We have budget to use higher CPU or higher memory systems hence was
> planning to have them together on more efficient nodes.
>
> Regards
> Vivek
> On Sat, Jan 23, 2016 at 7:13 am, Ted Yu <yuzhih...@gmail.com> wrote:
>
> Can you give us a bit more information ?
>
> How much memory does each node have ?
> What's the current heap allocation for Cassandra process and executor ?
> Spark / Cassandra release you are using
>
> Thanks
>
> On Fri, Jan 22, 2016 at 5:37 PM, <vivek.meghanat...@wipro.com> wrote:
>
>> Hi All,
>> What is the right spark Cassandra cluster setup - having Cassandra
>> cluster and spark cluster in different nodes or they should be on same
>> nodes.
>> We are having them in different nodes and performance test shows very bad
>> result for the spark streaming jobs.
>> Please let us know.
>>
>> Regards
>> Vivek
>>
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