glad it worked for you. im planning on some experimentation using that feature, could contribute to an interface nicely if thought through well.
On Tue, Mar 14, 2017 at 2:25 PM, Scott Smith <ssm...@mainstreamdata.com> wrote: > Grouping appears to be exactly what I'm looking for. I added > "group=true&group.field=category" to my search and It appears that I get > a list of groups, one document in each group that matches the search along > with (bonus) the number of documents in the category that match that > search. Perfect. Thank you very much. > > -----Original Message----- > From: Dave [mailto:hastings.recurs...@gmail.com] > Sent: Monday, March 13, 2017 7:59 PM > To: solr-user@lucene.apache.org > Subject: Re: Facet? Search problem > > Perhaps look into grouping on that field. > > > On Mar 13, 2017, at 9:08 PM, Scott Smith <ssm...@mainstreamdata.com> > wrote: > > > > I'm trying to solve a search problem and wondering if facets (or > something else) might solve the problem. > > > > Let's assume I have a bunch of documents (100 million+). Each document > has a category (keyword) assigned to it. A single document my only have > one category, but there may be multiple documents with the same category (1 > to a few hundred documents may be in any one category). There are several > million categories. > > > > Supposed I'm doing a search with a page size of 50. What I want to do > is do a search (e.g., "dog") and get back the top 50 documents that match > the contain the word "dog" and are all in different categories. So, there > needs to be one document from 50 different categories. > > > > If that's not possible, then is it possible to do it if I know the 50 > categories up-front and hand that off as part of the search (so "find 50 > documents that match the term 'dog' and there is one document from each of > 50 specified categories"). > > > > Is there a way to do this? > > > > I'm not extremely knowledgeable about facets, but thought that might be > a solution. But, it doesn't have to be facets. > > > > Thanks for any help > > > > Scott > > > > >
