Aha!  See, Kuli, I wasn't making it up! ;)

Otis 
----
Performance Monitoring for Solr / ElasticSearch / HBase - 
http://sematext.com/spm 



>________________________________
> From: Robert Stewart <bstewart...@gmail.com>
>To: solr-user@lucene.apache.org 
>Sent: Monday, May 14, 2012 11:23 AM
>Subject: Re: Solr Shards multi core slower then single big core
> 
>We used to have one large index - then moved to 10 shards (7 million docs 
>each) - parallel search across all shards, and we get better performance that 
>way.  We use a 40 core box with 128GB ram.  We do a lot of faceting so maybe 
>that is why since facets can be built in parallel on different threads/cores.  
>We also have indexes on fast local disks (6 15K RPM disks using raid stripes).
>
>
>On May 14, 2012, at 10:42 AM, Michael Della Bitta wrote:
>
>> Hi, all,
>> 
>> I've been running into murmurs about this idea elsewhere:
>> 
>> http://stackoverflow.com/questions/8698762/run-multiple-big-solr-shard-instances-on-one-physical-machine
>> 
>> http://java.dzone.com/articles/optimizing-solr-or-how-7x-your?mz=33057-solr_lucene
>> 
>> Michael
>> 
>> On Mon, May 14, 2012 at 10:29 AM, Otis Gospodnetic
>> <otis_gospodne...@yahoo.com> wrote:
>>> Hi Kuli,
>>> 
>>> As long as there are enough CPUs with spare cycles and disk IO is not a 
>>> bottleneck, this works faster.  This was 12+ months ago.
>>> 
>>> Otis
>>> ----
>>> Performance Monitoring for Solr / ElasticSearch / HBase - 
>>> http://sematext.com/spm
>>> 
>>> 
>>> 
>>>> ________________________________
>>>> From: Michael Kuhlmann <k...@solarier.de>
>>>> To: solr-user@lucene.apache.org
>>>> Sent: Monday, May 14, 2012 10:21 AM
>>>> Subject: Re: Solr Shards multi core slower then single big core
>>>> 
>>>> Am 14.05.2012 16:18, schrieb Otis Gospodnetic:
>>>>> Hi Kuli,
>>>>> 
>>>>> In a client engagement, I did see this (N shards on 1 beefy box with lots 
>>>>> of RAM and CPU cores) be faster than 1 big index.
>>>>> 
>>>> 
>>>> I want to believe you, but I also want to understand. Can you explain
>>>> why? And did this only happen for single requests, or even under heavy 
>>>> load?
>>>> 
>>>> Greetings,
>>>> Kuli
>>>> 
>>>> 
>>>> 
>
>
>
>

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