This is strange. 1M unique facet terms and 10 terms per document -- sounds like this use case is exactly where fc would be faster. But your results were the exact opposite.
What value for facet.limit did you set? Was your 80/30 seconds query time spent mostly on returning the facet counts of all 1M of facet terms, or did you limit the number of facet terms returned to a small number? Also did your entire index fit within RAM? --- On Sat, 6/5/10, Furkan Kuru <furkank...@gmail.com> wrote: > From: Furkan Kuru <furkank...@gmail.com> > Subject: Re: Faceted Search Slows Down as index gets larger > To: solr-user@lucene.apache.org, yo...@lucidimagination.com > Date: Saturday, June 5, 2010, 8:40 AM > The documents full-text fields are > 140 chars length (tweets). > > Actually I had looked at those parameters and thought no > change was > neccessary because the terms per document would be few and > the unique term > count was nearly 1 M. I don't know exactly but average term > count per > document text can be 10 in my case. > > I think I still do not get why facet.method=enum is > faster. > > > On Sat, Jun 5, 2010 at 5:00 AM, Yonik Seeley > <yo...@lucidimagination.com>wrote: > > > On Fri, Jun 4, 2010 at 7:33 PM, Andy <angelf...@yahoo.com> > wrote: > > > Yonik, > > > > > > Just curious why does using enum improve the > facet performance. > > > > > > Furkan was faceting on a text field with each > word being a facet value. > > I'd imagine that'd mean there's a large number of > facet values. According to > > the documentation ( > > http://wiki.apache.org/solr/SimpleFacetParameters#facet.method) > > facet.method=fc is faster when a field has many unique > terms. So how come > > enum, not fc, is faster in this case? > > > > facet.method=fc is faster when there are many unique > terms, and > > relatively few terms per document. A full-text > field doesn't fit that > > bill. > > > > > Also why use filterCache less? > > > > Take sup a lot of memory. > > > > -Yonik > > http://www.lucidimagination.com > > > > > > -- > Furkan Kuru >
