I'm a little confused here. Faceting is about counting docs that meet your query restrictions. I.e. the "q=" and "fq=" clauses. So your original problem statement simply cannot be combined into a single query since your q= clauses are different. You could do something like q=(firstterm OR secondterm)&facet.query=firstterm&facet.query=secondTerm That would give you accurate facet counts for the terms, but it certainly doesn't preserve the original intent of q=firstterm&facet.query=blahblah.
But facet.query is only counted over the docs that match the "q=" clause (well, the q= clause and any fq clauses). So perhaps you can supply a few example input docs and desired counts on the other side. Best Erick On Fri, Jun 7, 2013 at 8:01 AM, vrparekh <vrpar...@gmail.com> wrote: > Hello All, > > I required facet counts for multiple SearchTerms. > Currently I am doing two separate facet query on each search term with > facet.range="dateField" > > e.g. > > http://solrserver/select?q=1stsearchTerm&fq=on&facet-parameters > > http://solrserver/select?q=2ndsearchTerm&fq=on&facet-parameters > > Note :: SearchTerm field will be text_en_splitting > > Now I have found another way to do facet query on multiple search term by > tagging and excluding > > e.g. > > http://solrurl/select?start=0&rows=10&hl=off&; > facet=on& > facet.range.start=2013-06-06T16%3a00%3a00Z& > facet.range.end=2013-06-07T16%3a00%3a01Z& > facet.range.gap=%2B1HOUR& > wt=xml& > sort=dateField+desc& > facet.range={!key=music+ex=movie}dateField& > > fq={!tag=music}content:"music"&facet.range={!key=movie+ex=music}dateField& > fq={!tag=movie}content:"movie"&q=(col2:1+)& > > fq=+dateField:[2013-06-05T16:00:00Z+TO+2013-06-07T16:00:00Z]+AND+(+Col1:"test"+)& > fl=col1,col2,col3 > > > I have tested for few search term , It is providing same result as different > query for each search term. > Is this the proper way (with results and performance)? > > > > -- > View this message in context: > http://lucene.472066.n3.nabble.com/solr-facet-query-on-multiple-search-term-tp4068856.html > Sent from the Solr - User mailing list archive at Nabble.com.
