It really depends, hard to give a definitive instruction without more pieces of info. e.g. if your CPUs are all maxed out and you already have a high number of concurrent queries than sharding may not be of any help at all.
Otis -- Performance Monitoring * Log Analytics * Search Analytics Solr & Elasticsearch Support * http://sematext.com/ On Thu, Mar 13, 2014 at 7:42 PM, Software Dev <static.void....@gmail.com>wrote: > Ahh.. its including the add operation. That makes sense I then. A bit silly > on NR's part they don't break it down. > > Otis, our index is only 8G so I don't consider that big by any means but > our queries can get a bit complex with a bit of faceting. Do you still > think it makes sense to shard? How easy would this be to get working? > > > On Thu, Mar 13, 2014 at 4:02 PM, Otis Gospodnetic < > otis.gospodne...@gmail.com> wrote: > > > Hi, > > > > I think NR has support for breaking by handler, no? Just checked - no. > > Only webapp controller, but that doesn't apply to Solr. > > > > SPM should be more helpful when it comes to monitoring Solr - you can > > filter by host, handler, collection/core, etc. -- you can see the demo - > > https://apps.sematext.com/demo - though this is plain Solr, not > SolrCloud. > > > > If your index is big or queries are complex, shard it and parallelize > > search. > > > > Otis > > -- > > Performance Monitoring * Log Analytics * Search Analytics > > Solr & Elasticsearch Support * http://sematext.com/ > > > > > > On Thu, Mar 13, 2014 at 6:17 PM, ralph tice <ralph.t...@gmail.com> > wrote: > > > > > I think your response time is including the average response for an add > > > operation, which generally returns very quickly and due to sheer number > > are > > > averaging out the response time of your queries. New Relic should > break > > > out requests based on which handler they're hitting but they don't seem > > to. > > > > > > > > > On Thu, Mar 13, 2014 at 2:18 PM, Software Dev < > static.void....@gmail.com > > > >wrote: > > > > > > > Here are some screen shots of our Solr Cloud cluster via Newrelic > > > > > > > > http://postimg.org/gallery/2hyzyeyc/ > > > > > > > > We currently have a 5 node cluster and all indexing is done on > separate > > > > machines and shipped over. Our machines are running on SSD's with 18G > > of > > > > ram (Index size is 8G). We only have 1 shard at the moment with > > replicas > > > on > > > > all 5 machines. I'm guessing thats a bit of a waste? > > > > > > > > How come when we do our bulk updating the response time actually > > > decreases? > > > > I would think the load would be higher therefor response time should > be > > > > higher. Any way I can decrease the response time? > > > > > > > > Thanks > > > > > > > > > >
