I'd be very surprised if this were to work. I recall one situation in which 24 facets in a request placed too much pressure on the server.
In order to support faceting, Solr maintains a cache of the faceted field. You need one cache for each field you are faceting on, meaning your memory requirements will be substantial, unless, I guess, your fields are sparse. Also, during a faceting request, the server must do a scan across each of those fields, and that will take time, and with tat many fields, I'd imagine quite a bit of time. Upayavira On Mon, Mar 18, 2013, at 07:34 AM, sivaprasad wrote: > Hi, > > We have configured solr for 5000 facet fields as part of request > handler.We > have 10811177 docs in the index. > > The solr server machine is quad core with 12 gb of RAM. > > When we are querying with facets, we are getting out of memory error. > > What we observed is , If we have larger number of facets we need to have > larger RAM allocated for JVM. In this case we need to scale up the system > as > and when we add more facets. > > To scale out the system, do we need to go with distributed search? > > Any thoughts on this helps me to handle this situation. > > Thanks, > Siva > > > > > -- > View this message in context: > http://lucene.472066.n3.nabble.com/Facets-with-5000-facet-fields-tp4048450.html > Sent from the Solr - User mailing list archive at Nabble.com.
