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https://issues.apache.org/jira/browse/LUCENE-7465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15523315#comment-15523315
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Michael McCandless commented on LUCENE-7465:
--------------------------------------------

bq.  default to current java regexp impl;

But I think that would mean this new impl would very rarely be used.

I think it's better to give it a separate factory so it has more visibility?  
If it really does work better for users over time, word will spread, new blog 
posts/docs written, etc.

> Add a PatternTokenizer that uses Lucene's RegExp implementation
> ---------------------------------------------------------------
>
>                 Key: LUCENE-7465
>                 URL: https://issues.apache.org/jira/browse/LUCENE-7465
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Michael McCandless
>            Assignee: Michael McCandless
>             Fix For: master (7.0), 6.3
>
>         Attachments: LUCENE-7465.patch, LUCENE-7465.patch
>
>
> I think there are some nice benefits to a version of PatternTokenizer that 
> uses Lucene's RegExp impl instead of the JDK's:
>   * Lucene's RegExp is compiled to a DFA up front, so if a "too hard" RegExp 
> is attempted the user discovers it up front instead of later on when a 
> "lucky" document arrives
>   * It processes the incoming characters as a stream, only pulling 128 
> characters at a time, vs the existing {{PatternTokenizer}} which currently 
> reads the entire string up front (this has caused heap problems in the past)
>   * It should be fast.
> I named it {{SimplePatternTokenizer}}, and it still needs a factory and 
> improved tests, but I think it's otherwise close.
> It currently does not take a {{group}} parameter because Lucene's RegExps 
> don't yet implement sub group capture.  I think we could add that at some 
> point, but it's a bit tricky.
> This doesn't even have group=-1 support (like String.split) ... I think if we 
> did that we should maybe name it differently 
> ({{SimplePatternSplitTokenizer}}?).



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