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https://issues.apache.org/jira/browse/LUCENE-3069?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13757676#comment-13757676
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Han Jiang commented on LUCENE-3069:
-----------------------------------
OK! These two term dicts are both FST-based:
* FST term dict directly uses FST to map term to its metadata & stats
(FST<TermData>)
* FSTOrd term dict uses FST to map term to its ordinal number (FST<Long>), and
the ordinal is then used to seek metadata from another big chunk.
I prefer the second impl since it puts much less stress on FST.
I have updated the detailed format explaination in last commit. Hmm, I'll
create another patch for this...
> Lucene should have an entirely memory resident term dictionary
> --------------------------------------------------------------
>
> Key: LUCENE-3069
> URL: https://issues.apache.org/jira/browse/LUCENE-3069
> Project: Lucene - Core
> Issue Type: Improvement
> Components: core/index, core/search
> Affects Versions: 4.0-ALPHA
> Reporter: Simon Willnauer
> Assignee: Han Jiang
> Labels: gsoc2013
> Fix For: 5.0, 4.5
>
> Attachments: df-ttf-estimate.txt, example.png, LUCENE-3069.patch,
> LUCENE-3069.patch, LUCENE-3069.patch, LUCENE-3069.patch, LUCENE-3069.patch,
> LUCENE-3069.patch, LUCENE-3069.patch, LUCENE-3069.patch, LUCENE-3069.patch,
> LUCENE-3069.patch, LUCENE-3069.patch, LUCENE-3069.patch, LUCENE-3069.patch
>
>
> FST based TermDictionary has been a great improvement yet it still uses a
> delta codec file for scanning to terms. Some environments have enough memory
> available to keep the entire FST based term dict in memory. We should add a
> TermDictionary implementation that encodes all needed information for each
> term into the FST (custom fst.Output) and builds a FST from the entire term
> not just the delta.
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