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From "Mark Miller" <>
Subject Re: Proximity Query Parser
Date Fri, 01 Sep 2006 17:04:38 GMT
Thanks for the tip Paul. It is embarrassing, but I only realized how OrSpan
queries worked a day or two ago based on a tip from Eric. The way I assumed
it would create the spans before was just wrong and I never had researched
further. Now I see that it would be a nice optimization for what I
have...but I have not yet looked into how easy it will be to integrate it
into my distribution algorithm. I do use it for multiphrase queries however
based on Erics tip. It will hopefully be pretty simple to apply it to my
distribution, but I have not had time to check it out. I plowed this thing
out pretty quickly and am hoping I can go back and clean up a lot of things.
Need a short break though to pump out some other things. As I learn more
about Lucene and JavaCC I will incorporate new methods into the parser.

- Mark

On 9/1/06, Paul Elschot <> wrote:
> On Friday 01 September 2006 12:54, Mark Miller wrote:
> > Hi Paul,
> >
> > I also have to treat things differently depending on if I am in a
> > proximity clause or boolean clause. A wildcard in a boolean is mapped to
> > a wildcard query. A wildcard in a proximity is mapped to a regex span
> > that has been modified to only deal with * and ?. When I run into a
> > proximity, I collect a small tree of each clause and distribute them
> > against each other...(old | map) ~3 big gets distributed to old ~3 big |
> > map ~3 big. This distribution method appears to handle all
> There is no need to repeat "big". SpanQueries can be nested,
> so when mapping like this:
> SpanNear(SpanOr( old, map), big)
> the query structure will only grow for truncations and fuzzy stuff.
> > boolean/proximity nesting/mixing cases for me, including: great ! "big
> > old phrase search" ~5 (holy ~4 (big black bear)). The distribution
> > maintains order of operations, but also obviously can create some pretty
> > large queries.
> Regards,
> Paul Elschot
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