Please, take a look at http://issues.apache.org/jira/browse/SOLR-1379
Alex. On Wed, Sep 9, 2009 at 5:28 PM, Constantijn Visinescu <baeli...@gmail.com>wrote: > Just wondering, is there an easy way to load the whole index into ram? > > On Wed, Sep 9, 2009 at 4:22 PM, Alex Baranov <alex.barano...@gmail.com > >wrote: > > > 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 > > > > > >
