[pylucene-dev] Need to build a high-load searcher
Ofer Nave
ofer at smarter.com
Tue Mar 20 09:12:22 PST 2007
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: pylucene-dev-bounces at osafoundation.org
> [mailto:pylucene-dev-bounces at osafoundation.org] 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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