Hi Ali, Brian,


Thanks for the suggestion – we have previously used Solr (SolrCloud for
distribution) for a lot of other products, presumably this will do the same
job as ElasticSearch? Or does ElasticSearch have specifically better
integration with Cassandra or better support for aggregate queries?



Would it be an ok architecture to have a Cassandra node and a Solr/ES
instance on each box, so they scale together? Or is it better to have
separate servers for storage and search?



Cheers,

Matt



*From:* Brian O'Neill [mailto:boneil...@gmail.com] *On Behalf Of *Brian
O'Neill
*Sent:* 22 April 2015 12:56
*To:* user@cassandra.apache.org
*Subject:* Re: Adhoc querying in Cassandra?





+1, I think many organizations (including ours) pair Elastic Search with
Cassandra.

Use Cassandra as your system of record, then index the data with ES.



-brian



---

*Brian O'Neill *

Chief Technology Officer

Health Market Science, a LexisNexis Company

215.588.6024 Mobile • @boneill42 <http://www.twitter.com/boneill42>



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*From: *Ali Akhtar <ali.rac...@gmail.com>
*Reply-To: *<user@cassandra.apache.org>
*Date: *Wednesday, April 22, 2015 at 7:52 AM
*To: *<user@cassandra.apache.org>
*Subject: *Re: Adhoc querying in Cassandra?



You might find it better to use elasticsearch for your aggregate queries
and analytics. Cassandra is more of just a data store.

On Apr 22, 2015 4:42 PM, "Matthew Johnson" <matt.john...@algomi.com> wrote:

Hi all,



Currently we are setting up a “big” data cluster, but we are only going to
have a couple of servers to start with but we need to be able to scale out
quickly when usage ramps up. Previously we have used Hadoop/HBase for our
big data cluster, but since we are starting this one on only two nodes I
think Cassandra will be a much better fit, as Hadoop and HBase really need
at least 3 to achieve any sort of resilience (zookeeper quorum etc).



My question is this:



I have used Apache Phoenix as a JDBC layer on top of HBase, which allows me
to issue ad-hoc SQL-style queries. (eg count the number of times users have
clicked on a certain button after clicking a different button in the last 3
weeks etc). My understanding is that CQL does not support this style of
adhoc aggregate querying out of the box. Is there a recommended way to do
count, sum, average etc without writing client code (in my case Java) every
time I want to run one? I have been looking at projects like Drill, Spark
etc that could potentially sit on top of Cassandra but without actually
setting everything up and testing them it is difficult to figure out what
they would give us.



Does anyone else interactively issue adhoc aggregate queries to Cassandra,
and if so, what stack do you use?



Thanks!

Matt

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