You know, I've never really considered FastCGI for anything before, but that
doesn't sound like a bad idea.  Still not as simple as deploy and run, since
there are still two pieces (FastCGI/PyLucene and lighttpd), but possibly
simpler (and possibly faster) than apache.

-ofer

> -----Original Message-----
> From: [EMAIL PROTECTED] 
> [mailto:[EMAIL PROTECTED] On Behalf Of Jack L
> Sent: Monday, March 19, 2007 6:29 PM
> To: Ofer Nave
> Subject: Re: [pylucene-dev] Need to build a high-load searcher
> 
> solr is a good option as mentioned in another reply.
> 
> And grassyknoll sounds good too, as mentioned in another reply.
> 
> You can also try using a Python FastCGI server if you want to 
> use Python, and use a front-end web server like lighttpd. It 
> scales up by having multiple instances of Python FastCGI 
> servers running and the web server load balances them.
> 
> If you use OS file caching, all Python processes will be 
> sharing the same file cache, which saves on memory.
> 
> --
> Best regards,
> Jack
> 
> Monday, March 19, 2007, 4:24:28 PM, you wrote:
> 
> > I need to build a lucene search engine that can handle very 
> high loads 
> > (hundreds of requests per second) via a web interface.  It will be 
> > deployed on one or more multi-proc servers, with the index 
> > pre-generated and available via an NFS partition.  The 
> index is small 
> > enough to fit into RAM, so assume linux will cache the 
> whole thing (it 
> > seems to be now - there's no performance difference for me between 
> > FSDirectory and RAMDirectory).  I'm new to both Python and 
> Lucene, so 
> > I have little experience with what the best solutions are.
> 
> 
> 
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