On Sat, Nov 20, 2010 at 12:39 AM, Bing Li <lbl...@gmail.com> wrote: > Hi, Gora, > > No, I really wonder if Solr is based on Hadoop?
As far as I know, no it it isn't. > Hadoop is efficient when using on search engines since it is suitable to the > write-once-read-many model. After reading your emails, it looks like Solr's > distributed file system does the same thing. Both of them are good for > searching large indexes in a large scale distributed environment, right? [...] Are you talking about distributed Solr search, such as Solr on the Cloud: http://wiki.apache.org/solr/SolrCloud ? Someone more familiar with Solr can correct me if I am wrong, but I do not believe that this does a map/reduce like Hadoop provides. Unless I am even more confused than usual, Hadoop provides a distributed file-system (HDFS), and a framework for doing map/reduce. This is a generic framework and no built-in search capabilities are available. People have tried to use Solr/Lucene on HDFS, but am not very sure as to whether anyone has used map/reduce techniques on search, indexing, or other items with Solr/Lucene, and Hadoop. Regards, Gora
