When last I looked at Datastax Enterprise (DSE 3.0ish), it exhibits the same problem that you highlight, no different than your good idea of asynchronously pushing to ES.
Each Cassandra write was indexed independently by each server in the replication group. If a node timed out or a mutation was dropped, that Solr node would have an out-of-sync index. Doing a solr query such as count(*) users could return inconsistent results depending on which node you hit since solr didn't support Cassandra consistency levels. I haven't seen any blog posts or docs as to whether this intrinsic mismatch between how Cassandra handles eventual consistency and Solr has ever been resolved. Ken On Wed, Jan 7, 2015 at 9:05 AM, DuyHai Doan <doanduy...@gmail.com> wrote: > Be very very careful not to perform blocking calls to ElasticSearch in > your trigger otherwise you will kill C* performance. The biggest danger of > the triggers in their current state is that they are on the write path. > > In your trigger, you can try to push the mutation asynchronously to ES but > in this case it will mean managing a thread pool and all related issues. > > Not even mentioning atomicity issues like: what happen if the update to ES > fails or the connection times out ? etc ... > > As an alternative, instead of implementing yourself the integration with > ES, you can have a look at Datastax Enterprise integration of Cassandra > with Apache Solr (not free) or some open-source alternatives like Stratio > or TupleJump fork of Cassandra with Lucene integration. > > On Wed, Jan 7, 2015 at 2:40 PM, Asit KAUSHIK <asitkaushikno...@gmail.com> > wrote: > >> HI All, >> >> We are trying to integrate elasticsearch with Cassandra and as the river >> plugin uses select * from any table it seems to be bad performance choice. >> So i was thinking of inserting into elasticsearch using Cassandra trigger. >> So i wanted your view does a Cassandra Trigger impacts the performance of >> read/Write of Cassandra. >> >> Also any other way you guys achieve this please guide me. I am struck on >> this . >> >> Regards >> Asit >> >> >
