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https://issues.apache.org/jira/browse/LUCENE-1812?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrzej Bialecki  updated LUCENE-1812:
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    Attachment: pruning.patch

Patch relative to the current trunk.

> Static index pruning by in-document term frequency (Carmel pruning)
> -------------------------------------------------------------------
>
>                 Key: LUCENE-1812
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1812
>             Project: Lucene - Java
>          Issue Type: New Feature
>          Components: contrib/*
>    Affects Versions: 2.9
>            Reporter: Andrzej Bialecki 
>         Attachments: pruning.patch
>
>
> This module provides tools to produce a subset of input indexes by removing 
> postings data for those terms where their in-document frequency is below a 
> specified threshold. The net effect of this processing is a much smaller 
> index that for common types of queries returns nearly identical top-N results 
> as compared with the original index, but with increased performance. 
> Optionally, stored values and term vectors can also be removed. This 
> functionality is largely independent, so it can be used without term pruning 
> (when term freq. threshold is set to 1).
> As the threshold value increases, the total size of the index decreases, 
> search performance increases, and recall decreases (i.e. search quality 
> deteriorates). NOTE: especially phrase recall deteriorates significantly at 
> higher threshold values. 
> Primary purpose of this class is to produce small first-tier indexes that fit 
> completely in RAM, and store these indexes using 
> IndexWriter.addIndexes(IndexReader[]). Usually the performance of this class 
> will not be sufficient to use the resulting index view for on-the-fly pruning 
> and searching. 
> NOTE: If the input index is optimized (i.e. doesn't contain deletions) then 
> the index produced via IndexWriter.addIndexes(IndexReader[]) will preserve 
> internal document id-s so that they are in sync with the original index. This 
> means that all other auxiliary information not necessary for first-tier 
> processing, such as some stored fields, can also be removed, to be quickly 
> retrieved on-demand from the original index using the same internal document 
> id. 
> Threshold values can be specified globally (for terms in all fields) using 
> defaultThreshold parameter, and can be overriden using per-field or per-term 
> values supplied in a thresholds map. Keys in this map are either field names, 
> or terms in field:text format. The precedence of these values is the 
> following: first a per-term threshold is used if present, then per-field 
> threshold if present, and finally the default threshold.
> A command-line tool (PruningTool) is provided for convenience. At this moment 
> it doesn't support all functionality available through API.

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