Hello Pete,

solr was suggested in earlier emails for a dedicated search server.
From the feedback of the solr list, it actually works pretty well.
And you can interface with it from Python code. But it is not really
distributed. It does not currently span to multiple servers.

While PyLucene covers local search very well, Python indeed still lacks
a way to query distributed searchers and merge the results, like what
Nutch does. From my (limited) understanding, PyLucene + Nutch IPC will
do something similar to what Nutch backend does, and some merger logic
+ IPC will be similar to the Nutch front-end. So the missing pieces
are Python implementation of Nutch IPC and the merging code?

-- 
Best regards,
Jack

> Here, the fun begins.  As best I can tell, MultiSearcher/RemoteSearchable
> require multiple calls to slave machines per query. The general thought would
> be to re-implement such a thing in Python, using something like Perpsective
> Broker [4].

> I don't really want to do this, however, as it just doesn't sound like my idea
> of a good time.  I'm starting to formulate some thoughts for alternate
> approaches, but haven't totally sorted it out.  So, the question on 
> everyone's mind is:

> For all you folks using PyLucene for *queries*, how do you scale beyond a
> single machine?

> Anyone going to PyCon?  Want to have a Birds of a Feather on Lucene/Text
> Search/Distributed Computing? [5]

> --Pete


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