Did your successor choose Solr? I seem to have read an article or seen a 
'mobcast' whre the Search Engine Guy (SEG) @ Netflix used Solr. (Or, maybe ite 
as another video chain)

Dennis Gearon

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--- On Thu, 5/20/10, Walter Underwood <wun...@wunderwood.org> wrote:

> From: Walter Underwood <wun...@wunderwood.org>
> Subject: Re: How real-time are Soir/Lucene queries?
> To: solr-user@lucene.apache.org
> Date: Thursday, May 20, 2010, 10:12 PM
> Solr is a very good engine, but it is
> not real-time. You can turn off the caches and reduce the
> delays, but it is fundamentally not real-time.
> 
> I work at MarkLogic, and we have a real-time transactional
> search engine (and respository). If you are curious, contact
> me directly.
> 
> I do like Solr for lots of applications -- I chose it when
> I was at Netflix.
> 
> wunder
> 
> On May 20, 2010, at 7:22 PM, Thomas J. Buhr wrote:
> 
> > Hello Soir,
> > 
> > Soir looks like an excellent API and its nice to have
> a tutorial that makes it easy to discover the basics of what
> Soir does, I'm impressed. I can see plenty of potential uses
> of Soir/Lucene and I'm interested now in just how real-time
> the queries made to an index can be?
> > 
> > For example, in my application I have time ordered
> data being processed by a paint method in real-time. Each
> piece of data is identified and its associated renderer is
> invoked. The Java2D renderer would then lookup any layout
> and style values it requires to render the current data it
> has received from the layout and style indexes. What I'm
> wondering is if this lookup which would be a Lucene search
> will be fast enough?
> > 
> > Would it be best to make Lucene queries for the
> relevant layout and style values required by the renderers
> ahead of rendering time and have the query results placed
> into the most performant collection (map/array) so renderer
> lookup would be as fast as possible? Or can Lucene handle
> many individual lookup queries fast enough so rendering is
> quick?
> > 
> > Best regards from Canada,
> > 
> > Thom
> > 
> 
> 
> 
> 
> 
> 

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