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https://issues.apache.org/jira/browse/LUCENE-3069?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13707634#comment-13707634
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Robert Muir commented on LUCENE-3069:
-------------------------------------
{quote}
Also, for long-tail terms, the totalTermFreq
an safely be inlined into docFreq (for body field in wikimedium1m, 85.8% terms
have df == ttf).
{quote}
Cool idea! I wonder how many of those are df == ttf == 1?
We would currently waste a byte in this case (because we write a vInt for
docFreq of 1, and then a vInt of totalTermFreq - docFreq of 0).
Maybe we could try writing a vInt of 0 for docFreq to indicate that both
docFreq and totalTermFreq are 1?
> 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: 4.4
>
> Attachments: example.png, 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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