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https://issues.apache.org/jira/browse/LUCENE-1470?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12653098#action_12653098
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Uwe Schindler commented on LUCENE-1470:
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bq. I think if you call ExtendedFieldCache.EXT_DEFAULT.getLongs, first, with
your parser, and then sort by that field as a long, it will just use what's
already populated into the cache?
I think, this cannot work. The Cache is keyed by FieldCacheImpl.Entry
containing the parser to use. If search code would later call getLongs() with
the default parser, it would get a new array of longs, not the one previously
parsed with the specific parser, as there is no cache hit (because Entry is not
equal). Do I miss something here?
> 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
> Fix For: 2.9
>
> Attachments: LUCENE-1470.patch, LUCENE-1470.patch, LUCENE-1470.patch,
> 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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