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https://issues.apache.org/jira/browse/LUCENE-2843?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12979334#action_12979334
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Michael McCandless commented on LUCENE-2843:
--------------------------------------------

Yes doc values should cut back on these large term dicts.

But, I'm not a fan of pure disk-based terms dict.  Expecting the OS to make 
good decisions on what gets swapped out is risky -- Lucene is better informed 
than the OS on which data structures are worth spending RAM on (norms, terms 
index, field cache, del docs).

If indeed the terms dict (thanks to FSTs) becomes small enough to "fit" in RAM, 
then we should load it into RAM (and do away w/ the terms index).

> Add variable-gap terms index impl.
> ----------------------------------
>
>                 Key: LUCENE-2843
>                 URL: https://issues.apache.org/jira/browse/LUCENE-2843
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: Index
>            Reporter: Michael McCandless
>            Assignee: Michael McCandless
>             Fix For: 4.0
>
>         Attachments: LUCENE-2843.patch, LUCENE-2843.patch
>
>
> PrefixCodedTermsReader/Writer (used by all "real" core codecs) already
> supports pluggable terms index impls.
> The only impl we have now is FixedGapTermsIndexReader/Writer, which
> picks every Nth (default 32) term and holds it in efficient packed
> int/byte arrays in RAM.  This is already an enormous improvement (RAM
> reduction, init time) over 3.x.
> This patch adds another impl, VariableGapTermsIndexReader/Writer,
> which lets you specify an arbitrary IndexTermSelector to pick which
> terms are indexed, and then uses an FST to hold the indexed terms.
> This is typically even more memory efficient than packed int/byte
> arrays, though, it does not support ord() so it's not quite a fair
> comparison.
> I had to relax the terms index plugin api for
> PrefixCodedTermsReader/Writer to not assume that the terms index impl
> supports ord.
> I also did some cleanup of the FST/FSTEnum APIs and impls, and broke
> out separate seekCeil and seekFloor in FSTEnum.  Eg we need seekFloor
> when the FST is used as a terms index but seekCeil when it's holding
> all terms in the index (ie which SimpleText uses FSTs for).

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