You pretty much need to issue separate queries against each collection and creatively combine them. All of Solr's distributed search stuff pre-supposes two things 1> the schemas are very similar 2> the types of docs in each collection are also very similar.
<2> is a bit subtle. If you store different kinds of docs in different cores, then that statistics for term frequency etc. will be different. There's some work being done (I think) to support "distributed tf/idf". But anyway, in this case the scores of the docs from one collection will tend to dominate the result set. Or if you're talking about joining, see Anria's comments. Best Erick On Wed, Jun 5, 2013 at 7:34 PM, <abillav...@innoventsolutions.com> wrote: > hi > I've successfully searched over several separate collections (cores with > unique schemas) using this kind of syntax. This demonstrates a 2 core > search > > http://localhost:8983/solr/collection1/select? > q=my phrase to search on& > start=0& > rows=25& > fl=*,score& > fq={!join+fromIndex=collection2+from=sku+to=sku}id:1571& > > > I've split up the parameters so you see easily > fq={!join+fromIndex=collection2+from=sku+to=sku}id:1571& > > --> collection1/select = use the select requestHandler out of collection1 > as a base > --> collection2 is the 2nd core : equivalent of a table join in SQL > --> sku is the field shared in both collection1, and collection2 > --> id is the field I want to find the id=1571 in. > > Hope this helps > Anria > > > > > On 2013-06-05 16:17, bbarani wrote: >> >> I am not sure the best way to search across multiple collection using SOLR >> 4.3. >> >> Suppose, each collection have their own config files and I perform various >> operations on collections individually but when I search I want the search >> to happen across all collections. Can someone let me know how to perform >> search on multiple collections? Do I need to use sharding again? >> >> >> >> -- >> View this message in context: >> >> http://lucene.472066.n3.nabble.com/Search-across-multiple-collections-tp4068469.html >> Sent from the Solr - User mailing list archive at Nabble.com.