There is a good article on how to scale the Lucene/Solr solution: http://www.lucidimagination.com/Community/Hear-from-the-Experts/Articles/Scaling-Lucene-and-Solr
Also, if you have heavy load on the server (large amount of concurrent requests) then I'd suggest to consider loading the index into RAM. It worked well for me on the project with 140+ million documents and 30 concurrent user requests per second. If your index can be placed in RAM you can reduce the architecture complexity. Alex Baranov On Wed, Sep 9, 2009 at 5:10 PM, Elaine Li <elaine.bing...@gmail.com> wrote: > Hi, > > I have 20 million docs on solr. If my query would return more than > 10,000 results, the response time will be very very long. How to > resolve such problem? Can I slice my docs into pieces and let the > query operate within one piece at a time so the response time and > response data will be more managable? Thanks. > > Elaine >
