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https://issues.apache.org/jira/browse/LUCENE-1461?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12650562#action_12650562
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Paul Elschot commented on LUCENE-1461:
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{quote}Someday, I think RangeFilter and RangeQuery should be implemented using
hierarchical ranges (there was a reference to a page in the wiki, specifically
about date range searching, recently), which would be another method.{quote}
I think you're referring to the hierarchical prefixes here:
http://wiki.apache.org/jakarta-lucene/DateRangeQueries
These hierarchical ranges require an analyzer to output all tokens "to the
root" and a disjunction filter on the terms corresponding to the levels in the
range. At each level a RangeMultiFilter could be used, but that would require a
lot of memory. TermFilters would be better in that case I think.
> Cached filter for a single term field
> -------------------------------------
>
> Key: LUCENE-1461
> URL: https://issues.apache.org/jira/browse/LUCENE-1461
> Project: Lucene - Java
> Issue Type: New Feature
> Reporter: Tim Sturge
> Attachments: DisjointMultiFilter.java, LUCENE-1461a.patch,
> RangeMultiFilter.java, RangeMultiFilter.java, TermMultiFilter.java
>
>
> These classes implement inexpensive range filtering over a field containing a
> single term. They do this by building an integer array of term numbers
> (storing the term->number mapping in a TreeMap) and then implementing a fast
> integer comparison based DocSetIdIterator.
> This code is currently being used to do age range filtering, but could also
> be used to do other date filtering or in any application where there need to
> be multiple filters based on the same single term field. I have an untested
> implementation of single term filtering and have considered but not yet
> implemented term set filtering (useful for location based searches) as well.
> The code here is fairly rough; it works but lacks javadocs and toString() and
> hashCode() methods etc. I'm posting it here to discover if there is other
> interest in this feature; I don't mind fixing it up but would hate to go to
> the effort if it's not going to make it into Lucene.
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