You could post-process the response and remove urls that don't match your domain pattern.
On Mon, Aug 31, 2009 at 9:45 AM, Olivier H. Beauchesne <oliv...@olihb.com>wrote: > Hi Mike, > > No, my problem is that the field article_outlinks is multivalued thus it > contains several urls not related to my search. I would like to facet only > urls matching my query. > > For exemple(only on one document, but my search targets over 1M docs): > > Doc1: > article_url: > url1.com/1 > url2.com/2 > url1.com/1 > url1.com/3 > > And my query is: article_url:url1.com* and I facet by article_url and I > want it to give me: > url1.com/1 (2) > url1.com/3 (1) > > But right now, because url2.com/2 is contained in a multivalued field with > the matching urls, I get this: > url1.com/1 (2) > url1.com/3 (1) > url2.com/2 (1) > > I can use facet.prefix to filter, but it's not very flexible if my url > contains a subdomain as facet.prefix doesn't support wildcards. > > Thank you, > > Olivier > > Mike Topper a écrit : > > Hi Olivier, >> >> are the facet counts on the urls you dont want 0? >> >> if so you can use facet.mincount to only return results greater than 0. >> >> -Mike >> >> Olivier H. Beauchesne wrote: >> >> >>> Hi, >>> >>> Long time lurker, first time poster. >>> >>> I have a multi-valued field, let's call it article_outlinks containing >>> all outgoing urls from a document. I want to get all matching urls >>> sorted by counts. >>> >>> For exemple, I want to get all outgoing wikipedia url in my documents >>> sorted by counts. >>> >>> So I execute a query like this: >>> q=article_outlinks:http*wikipedia.org* and I facet on article_outlinks >>> >>> But I get facets containing the other urls in the documents. I can get >>> something close by using facet.prefix=http://en.wikipedia.org but I >>> want to include other subdomains on wikipedia (ex: fr.wikipedia.org). >>> >>> Is there a way to do a search and getting facets only matching my query? >>> >>> I know facet.prefix isn't a query, but is there a way to get that >>> behavior? >>> >>> Is it easy to extend solr to do something like that? >>> >>> Thank you, >>> >>> Olivier >>> >>> Sorry for my english. >>> >>> >>> >> >> >> >> >
