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From "Tim Sturge (JIRA)" <j...@apache.org>
Subject [jira] Commented: (LUCENE-1461) Cached filter for a single term field
Date Wed, 19 Nov 2008 22:43:44 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-1461?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12649195#action_12649195
] 

Tim Sturge commented on LUCENE-1461:
------------------------------------

Thanks Paul.

This solved a nasty performance itch with the system we are building at hi5. 

I'm looking into whether using a byte[] or short[] makes sense when there are less total terms
(it will certainly save space, don't know about performance). 

The other thing I wonder is whether you can use this for a set based query (for example a
set of location grid-blocks). What I need there is a very fast java integer set (hopefully
much faster than java.util.HashSet<Integer>)



> 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, RangeMultiFilter.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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