Here's the problem with mixing dissimilar text: relevance. Your text relevance depends on a document's "delta" with all other documents in the index. If you index nothing but technical papers, searching a technical term will find what you expect. If you mix technical papers and movie titles, text query will be useless.
On Thu, May 13, 2010 at 12:06 PM, Eric Grobler <impalah...@googlemail.com> wrote: > Hi Ahmed > > Thanks again for sharing your insight and experience. > I will discuss the multi-core approach with members of our team. > > Regards > Eric > > On Wed, May 12, 2010 at 9:24 PM, ahammad <ahmed.ham...@gmail.com> wrote: > >> >> In our deployment, we thought that complications might arise when >> attempting >> to hit the Solr server with addresses of too many cores. For instance, we >> have 15+ cores running at the moment. At the worst case, we will have to >> use >> all 15+ addresses of all the cores to search all our data. What we >> eventually did was to combine all the cores into a single core, which will >> basically give us a more clean solution. You will get the simplicity of >> querying one core, but the flexibility of modifying cores separately. >> >> Basically, we have all the cores indexing separately. We set up a script >> that would use the index merge functionality of Solr to combine all the >> indexes into a single index accessible through one core. Yes, there will be >> some overhead on the server, but I believe that it's a good compromise. In >> our case, we have multiple servers at our disposal, so this was not a >> problem to implement. It all depends on your data set and the volume of >> documents that you will be indexing. >> >> -- >> View this message in context: >> http://lucene.472066.n3.nabble.com/multi-valued-associated-fields-tp811883p813419.html >> Sent from the Solr - User mailing list archive at Nabble.com. >> > -- Lance Norskog goks...@gmail.com
