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https://issues.apache.org/jira/browse/LUCENE-2090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robert Muir updated LUCENE-2090:
--------------------------------

    Attachment: LUCENE-2090_TermRef_flex.patch

Attached is a patch to TermRef to implement endsWith()

this is a huge win on flex, even though constant suffix gain is very minor on 
trunk, because it avoids unicode conversion (char[]) for the worst cases that 
must do lots of comparisons.

*N      1705.7ms avg -> 1195.4ms avg
*NNNNNN 1844.9ms avg -> 1192.3ms avg

it doesn't really matter if the suffix is short, if there is a way in 
FilteredTermsEnum.accept() for a multitermquery to accept/reject a term without 
unicode conversion, it helps a lot.

in my opinion, this is the cleanest way to improve these cases, other crazy 
ideas i have tossed around out here like the iterative "reader-like" conversion 
or even TermRef substring matching will probably not gain much more over this, 
will be a lot more complex, and only apply to automatonquery.

Mike, if you get a chance to review, this, I'll commit it to flex branch (the 
tests pass).


> convert automaton to char[] based processing and TermRef / TermsEnum api
> ------------------------------------------------------------------------
>
>                 Key: LUCENE-2090
>                 URL: https://issues.apache.org/jira/browse/LUCENE-2090
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: Search
>            Reporter: Robert Muir
>            Priority: Minor
>             Fix For: 3.1
>
>         Attachments: LUCENE-2090_TermRef_flex.patch
>
>
> The automaton processing is currently done with String, mostly because 
> TermEnum is based on String.
> it is easy to change the processing to work with char[], since behind the 
> scenes this is used anyway.
> in general I think we should make sure char[] based processing is exposed in 
> the automaton pkg anyway, for things like pattern-based tokenizers and such.

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