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https://issues.apache.org/jira/browse/LUCENE-1470?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12652002#action_12652002
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Nadav Har'El commented on LUCENE-1470:
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Hi, I just wanted to comment that a similar method was proposed in 2005 by
several researchers in IBM (all of them have moved to Yahoo by now, actually).
See "Inverted Index Support for Numeric Search", by M Fontoura, R Lempel, R Qi,
J Zien
http://webcourse.cs.technion.ac.il/236620/Winter2006-2007/hw/WCFiles/paramsearch.pdf
The paper contains some discussion on the tradeoffs between the number of
layers, number of terms, index size, and so on, so it might contain some
valuable ideas even if you don't use their scheme exactly.
> Add TrieRangeQuery to contrib
> -----------------------------
>
> Key: LUCENE-1470
> URL: https://issues.apache.org/jira/browse/LUCENE-1470
> Project: Lucene - Java
> Issue Type: New Feature
> Components: contrib/*
> Affects Versions: 2.4
> Reporter: Uwe Schindler
> Assignee: Michael McCandless
> Attachments: LUCENE-1470.patch, LUCENE-1470.patch, LUCENE-1470.patch,
> LUCENE-1470.patch
>
>
> According to the thread in java-dev
> (http://www.gossamer-threads.com/lists/lucene/java-dev/67807 and
> http://www.gossamer-threads.com/lists/lucene/java-dev/67839), I want to
> include my fast numerical range query implementation into lucene
> contrib-queries.
> I implemented (based on RangeFilter) another approach for faster
> RangeQueries, based on longs stored in index in a special format.
> The idea behind this is to store the longs in different precision in index
> and partition the query range in such a way, that the outer boundaries are
> search using terms from the highest precision, but the center of the search
> Range with lower precision. The implementation stores the longs in 8
> different precisions (using a class called TrieUtils). It also has support
> for Doubles, using the IEEE 754 floating-point "double format" bit layout
> with some bit mappings to make them binary sortable. The approach is used in
> rather big indexes, query times are even on low performance desktop
> computers <<100 ms (!) for very big ranges on indexes with 500000 docs.
> I called this RangeQuery variant and format "TrieRangeRange" query because
> the idea looks like the well-known Trie structures (but it is not identical
> to real tries, but algorithms are related to it).
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