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https://issues.apache.org/jira/browse/LUCENE-1470?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12652906#action_12652906
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Uwe Schindler commented on LUCENE-1470:
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bq. As a baseline, how large is an index with just the normal fields?
This is not so simply to check out, I do not have such an index available and
it takes long time to reindex :) The 3 variants were generated last night on
the X4600 monster machine, which took 2 hours there (in parallel).
But as the step from 8 to 4 bits was about 300 MBytes space more and the step
doubled the number of terms, the index without the numeric fields (if its still
linear) should be about (!) 4.5 GiB.
Sometimes, when changing program code of "live" systems where users are working
on (sometimes you cannot avoid it), I feel really like doing a open-heart
surgery :-)
> 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, 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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