Ryan, my new best friend! Please, file JIRA issue(s) for these items! I'm sure you will get some feedback.
- Mark On Dec 6, 2012, at 5:09 PM, Ryan Zezeski <rzeze...@gmail.com> wrote: > There are some gains to be made in Solr's distributed search code. A few > weeks about I spent time profiling dist search using dtrace/btrace and > found some areas for improvement. I planned on writing up some blog posts > and providing patches but I'll list them off now in case others have input. > > 1) Disable the http client stale check. It is known to cause latency > issues. Doing this gave be a 4x increase in perf. > > 2) Disable nagle, many tiny packets are not being sent (to my knowledge), > so don't wait. > > 3) Use a single TermEnum for all external id->lucene id lookups. This > seemed to reduce total bytes read according to dtrace. > > 4) Building off #3, cache a certain number of external id->lucene id. > Avoding the TermEnum altogether. > > 5) If fl=id is present then dont' run the 2nd phase of the dist search. > > I'm still very new to Solr so there could be issues with any of the patches > I propose above that I'm not aware of. Would love to hear input. > > -Z > > On Wed, Dec 5, 2012 at 8:35 PM, sausarkar <sausar...@ebay.com> wrote: > >> We are using SolrCloud and trying to configure it for testing purposes, we >> are seeing that the average query time is increasing if we have more than >> one node in the SolrCloud cluster. We have a single shard 12 gigs >> index.Example:1 node, average query time *~28 msec* , load 140 >> queries/second3 nodes, average query time *~110 msec*, load 420 >> queries/second distributed equally on three servers so essentially 140 qps >> on each node.Is there any inter node communication going on for queries, is >> there any setting on the Solrcloud for query tuning for a cloud config >> with >> multiple nodes.Please help. >> >> >> >> -- >> View this message in context: >> http://lucene.472066.n3.nabble.com/SolrCloud-Query-performance-degrades-with-multiple-servers-tp4024660.html >> Sent from the Solr - User mailing list archive at Nabble.com.