Yeah, that sounds complique and messy. Just the other day I was looking at performance metrics for a customer using master-slave setup and this sort of query->slave mapping behing the load balancer. After switching from such a setup to a round-robin setup their performance noticeably suffered...
Otis -- Solr & ElasticSearch Support http://sematext.com/ On Mon, Jun 10, 2013 at 8:06 AM, Erick Erickson <erickerick...@gmail.com> wrote: > Nothing I've seen. It would get really tricky > though. Each node in the cluster would have > to have a copy of all queries received by > _any_ node which would result in all > queries being sent to all nodes along with > an indication of what node that query was > actually supposed to be serviced by. > > And now suppose there were 100 shards, > then the list of the correct node would get > quite large. > > Seems overly complex for the benefit, but > what do I know? > > FWIW > Erick > > > > On Sat, Jun 8, 2013 at 10:38 PM, Otis Gospodnetic > <otis.gospodne...@gmail.com> wrote: >> Hi, >> >> Is there anything in SolrCloud that would support query-node/shard >> affinity/stickiness? >> >> What I mean by that is a mechanism that is smart enough to keep >> sending the same query X to the same node(s)+shard(s)... with the goal >> being better utilization of Solr and OS caches? >> >> Example: >> * Imagine a Collection with 2 shards and 3 replicas: s1r1, s1r2, s1r3, >> s2r1, s2r2, s2r3 >> * Query for "Foo Bar" comes in and hits one of the nodes, say s1r1 >> * Since shard 2 needs to be queried, too, one of its 3 replicas needs >> to be searched. Say s2r1 gets searched >> * 5 minutes later the same query for "Foo Bar" comes in, say it hits s1r1 >> again >> * Again shard 2 needs to be searched. But which of the 3 replicas >> should be searched? >> * Ideally that same s2r1 would be searched >> >> Is there anything in SolrCloud that can accomplish this? >> Or if there a place in SolrCloud where such "query hash ==> >> node/shard" mapping could be implemented? >> >> Thanks, >> Otis >> -- >> Solr & ElasticSearch Support >> http://sematext.com/
