Hi,
I was reading this post and I wondering how can I parallelize document
processing??? 
Thanks Erik


Erik Hatcher wrote:
> 
> 
> On Feb 21, 2007, at 4:25 PM, Jack L wrote:
>>> couple of times today at around 158 documents / sec.
>>
>> This is not bad at all. How about search performance?
>> How many concurrent queries have people been having?
>> What does the response time look like?
> 
> I'm the only user :)   What I've done is a proof-of-concept for our  
> library.  We have 3.7M records that I've indexed and faceted.  Search  
> performance (in my unrealistic single user scenario) is blazing (50ms  
> or so) for purely full-text queries.  For queries that return facets,  
> the response times are actually quite good too (~900ms, or less  
> depending on the request) - provided the filter cache is warmed and  
> large enough.  This is running on my laptop (MacBook Pro, 2GB RAM,  
> 1.83GHz) - I'm sure on a beefier box it'll only get better.
> 
>>> Thanks to the others that clarified.  I run my indexers in
>>> parallel... but a single instance of Solr (which in turn handles
>>> requests in parallel as well).
>>
>> Do you feel if multi-threaded posting is helpful?
> 
> It depends.  If the data processing can be parallelized and your  
> hardware supports it, it can certainly make a big difference... it  
> did in my case.  Both CPUs were cooking during my parallel indexing  
> runs.
> 
>       Erik
> 
> 
> 
> 
> 

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