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https://issues.apache.org/jira/browse/LUCENE-3069?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13878765#comment-13878765
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Mark Miller commented on LUCENE-3069:
-------------------------------------
I think it's actually two different things - our commit messages are generated
by a script that subscribes to svnpubsub, and it does some look ups to figure
out the right user name. The fisheye stuff is what you see if you look at the
source tab I think. So it might be easier to fix, since I think it's in our
control (INFRA's anyway).
https://svn.apache.org/repos/infra/infrastructure/trunk/projects/svngit2jira/
> 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: 4.7
>
> Attachments: 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, LUCENE-3069.patch, df-ttf-estimate.txt,
> example.png
>
>
> 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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