Hi, Seriously, try making that monster document cache smaller. Sure, there will be more evictions and more cache misses, but at least you will be less likely to get OOMs :).
Oits -- Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch ----- Original Message ---- > From: gurudev <[EMAIL PROTECTED]> > To: solr-user@lucene.apache.org > Sent: Thursday, May 22, 2008 7:27:44 AM > Subject: RE: SOLR OOM (out of memory) problem > > > Hi Rong, > > My cache hit ratio are: > > filtercache: 0.96 > documentcache:0.51 > queryresultcache:0.58 > > Thanx > Pravesh > > > Yongjun Rong-2 wrote: > > > > I had the same problem some weeks before. You can try these: > > 1. Check the hit ratio for the cache via the solr/admin/stats.jsp. If > > the hit ratio is very low. Just disable those cache. It will save you > > some memory. > > 2. set -Xms and -Xmx to the same size will help improve GC performance. > > 3. Check what's GC do you use? Default will be parallel. You can try use > > concurrent GC which will help a lot. > > 4. This is my sun hotspot jvm startup options: -XX:+UseConcMarkSweepGC > > -XX:CMSInitiatingOccupancyFraction=50 -XX:-UseGCOverheadLimit > > The above cannot solve the OOM forever. But they help a lot. > > Wish this can help. > > > > -----Original Message----- > > From: Mike Klaas [mailto:[EMAIL PROTECTED] > > Sent: Wednesday, May 21, 2008 2:23 PM > > To: solr-user@lucene.apache.org > > Subject: Re: SOLR OOM (out of memory) problem > > > > > > On 21-May-08, at 4:46 AM, gurudev wrote: > > > >> > >> Just to add more: > >> > >> The JVM heap allocated is 6GB with initial heap size as 2GB. We use > >> quadro(which is 8 cpus) on linux servers for SOLR slaves. > >> We use facet searches, sorting. > >> document cache is set to 7 million (which is total documents in index) > > > >> filtercache 10000 > > > > You definitely don't have enough memory to keep 7 million document, > > fully realized in java-object form, in memory. > > > > Nor would you want to. The document cache should aim to keep the most > > frequently-occuring documents in memory (in the thousands, perhaps 10's > > of thousands). By devoting more memory to the OS disk cache, more of > > the 12GB index can be cached by the OS and thus speed up all document > > retreival. > > > > -Mike > > > > > > -- > View this message in context: > http://www.nabble.com/SOLR-OOM-%28out-of-memory%29-problem-tp17364146p17402234.html > Sent from the Solr - User mailing list archive at Nabble.com.
