Hi Ken, JIRA is kind of stuffed. I'd imagine showing more proof on the ML may be more effective.
Otis -- Solr & ElasticSearch Support -- http://sematext.com/ Performance Monitoring -- http://sematext.com/spm On Tue, Aug 27, 2013 at 4:32 AM, Ken Krugler <kkrugler_li...@transpac.com> wrote: > Hi Otis, > > Sorry I missed your reply, and thanks for trying to find a similar report. > > Wondering if I should file a Jira issue? That might get more attention :) > > -- Ken > > On Jul 5, 2013, at 1:05pm, Otis Gospodnetic wrote: > >> Hi Ken, >> >> Uh, I left this email until now hoping I could find you a reference to >> similar reports, but I can't find them now. I am quite sure I saw >> somebody with a similar report within the last month. Plus, several >> people have reported issues with performance dropping when they went >> from 3.x to 4.x and maaaaaybe this is why. >> >> Otis >> -- >> Solr & ElasticSearch Support -- http://sematext.com/ >> Performance Monitoring -- http://sematext.com/spm >> >> >> >> On Tue, Jul 2, 2013 at 3:01 PM, Ken Krugler <kkrugler_li...@transpac.com> >> wrote: >>> Hi all, >>> >>> After upgrading from Solr 3.5 to 4.2.1, I noticed our filterCache hit ratio >>> had dropped significantly. >>> >>> Previously it was at 95+%, but now it's < 50%. >>> >>> I enabled recording 100 entries for debugging, and in looking at them it >>> seems that edismax (and faceting) is creating entries for me. >>> >>> This is in a sharded setup, so it's a distributed search. >>> >>> If I do a search for the string "bogus text" using edismax on two fields, I >>> get an entry in each of the shard's filter caches that looks like: >>> >>> item_+(((field1:bogus | field2:bogu) (field1:text | field2:text))~2): >>> >>> Is this expected? >>> >>> I have a similar situation happening during faceted search, even though my >>> fields are single-value/untokenized strings, and I'm not using the enum >>> facet method. >>> >>> But I'll get many, many entries in the filterCache for facet values, and >>> they all look like "item_<facet field>:<facet value>:" >>> >>> The net result of the above is that even with a very big filterCache size >>> of 2K, the hit ratio is still only 60%. >>> >>> Thanks for any insights, >>> >>> -- Ken > > -------------------------- > Ken Krugler > +1 530-210-6378 > http://www.scaleunlimited.com > custom big data solutions & training > Hadoop, Cascading, Cassandra & Solr > > > > >
