I was trying with the [* TO *] as an example, the real use case is OR query between 2/more range queries of timestamp fields (saved in milliseconds). So I can't use FQs as they are ANDed by definition.
Am I missing something here? Thanks, Kranti K. Parisa http://www.linkedin.com/in/krantiparisa On Wed, Jan 8, 2014 at 8:15 AM, Joel Bernstein <joels...@gmail.com> wrote: > Kranti, > > The range query also looks like a good candidate to be moved to a filter > query so it can be cached. > > Joel Bernstein > Search Engineer at Heliosearch > > > On Tue, Jan 7, 2014 at 11:34 PM, Smiley, David W. <dsmi...@mitre.org> > wrote: > > > Kranti, > > > > I can't speak to the specific slow-down while grouping, but if you expect > > to run [* TO *] queries with any frequency then you should index a > boolean > > flag and query for that instead. You might also reduce the precisionStep > > value for the field you are using to 6 or even 4. But wow that's a big > > difference you noted; it wouldn't hurt to double-check with the debugger > > that the [* TO *] is treated as a numeric range query instead of a > generic > > term range. > > > > ~ David > > ________________________________________ > > From: Kranti Parisa [kranti.par...@gmail.com] > > Sent: Tuesday, January 07, 2014 10:26 PM > > To: solr-user@lucene.apache.org > > Subject: Range queries with Grouping is slow? > > > > Is there any known issue with Range queries + grouping? > > > > Case1: > > q=id:123&group=true&sort=price > > asc&group.field=entityId&group.limit=2&group.ngroups=true > > > > Case2: > > q=id:123 AND price:[* TO *]&group=true&sort=price > > asc&group.field=entityId&group.limit=2&group.ngroups=true > > > > Index Size:10M/~5GB > > After running both queries at least once, I was expecting to hit the > query > > caches and response should be quick enough, but > > Case1: 15-20ms (looks fine) > > Case2: 400+ms (this seems constantly >400ms even after the first query) > > > > any thought? if it's a known issue, please point me to the jira link > > otherwise I can open an issue if this needs some analysis? > > > > > > Thanks, > > Kranti K. Parisa > > http://www.linkedin.com/in/krantiparisa > > >