-----Original Message-----
From: gurudev [mailto:[EMAIL PROTECTED] 
Sent: Thursday, May 22, 2008 7:28 AM
To: solr-user@lucene.apache.org
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
> 
> 

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