I can't give you any really exact measurements, but I can tell you  
that we found that getting Fedora and GSearch attached via a separate  
instance of ActiveMQ was trivial. It took perhaps five minutes. Your  
question reminds that perhaps we ought to do some of those JMeter test  
we've been putting off. {grin}

We've successfully run batch ingests of a few thousand objects through  
that system without any difficulty. It was necessary to spend some  
time (perhaps half a "man-day") tuning ActiveMQ's datastores and  
memory usage and the like to get reliably good performance, but that  
was expected and normal.

Have you decided on a particular piece of broker software? Most can be  
scaled both vertically and horizontally. We'll be clustering ActiveMQ  
at some point in the future.

---
A. Soroka
Digital Research and Scholarship R & D
the University of Virginia Library



On Oct 27, 2009, at 9:09 AM, Scott Prater wrote:

> We'll soon be activating JMS in our Fedora installation, in order to
> update our Solr index and memory cache on purge/ingest/update events.
> Has anyone had any other experience using a third-party message  
> broker?
>  In particular, does anyone have any experience using a message broker
> in situations of high traffic or with large datasets or heavy batch
> operations?  Any recommendations or gotchas to look out for?
>
> TIA,
>
> -- Scott
>
> aj...@virginia.edu wrote:
>> I may have missed part of the conversation where you describe this,
>> but are you using the JMS gear that comes with Fedora or a separate
>> JMS broker (e.g. ActiveMQ)?
>>
>> ---
>> A. Soroka
>> Digital Research and Scholarship R & D
>> the University of Virginia Library
>>
>>
>>
>> On Oct 26, 2009, at 6:56 PM, <carsten.friedr...@csiro.au> wrote:
>>
>>> ·         Using the message queue with fedoragsearch to update SOLR
>>> seems not to be a good idea for larger datasets. I suspect using the
>>> message queue for anything with a large datasets is not a good idea.
>>> It seems to consume a lot of resources when running, does not seem
>>> to shut down reliably (resulting in very long rebuild time next time
>>> you start tomcat) and seems to scale very badly (performance goes
>>> down significantly the more objects we add). There are a lot of
>>> “seems” in this statement because we didn’t actually measure this
>>> and it is only based on our subjective observation.
>>
>>
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>
> -- 
> Scott Prater
> Library, Instructional, and Research Applications (LIRA)
> Division of Information Technology (DoIT)
> University of Wisconsin - Madison
> pra...@wisc.edu
>
>
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