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https://issues.apache.org/jira/browse/LUCENE-2023?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robert Muir updated LUCENE-2023:
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Attachment: LUCENE-2023.patch
refactor a lot of this analyzer:
* move hhmm specific stuff (like WordType, CharType, Utility) into hhmm package
* move/remove tokenfilter specific stuff (like lowercasing, full-width
conversion) out of hhmm package (uses LowerCaseFilter, adds FullWidthFilter)
* remove the stopwords list, it was full of various punctuation, all of which
got converted by "SegTokenFilter" into a comma anyway. instead just don't emit
punctuation.
to me, this refactoring makes the analyzer easier to debug. it also happens to
improve performance (up to 2500k/s now)
> Improve performance of SmartChineseAnalyzer
> -------------------------------------------
>
> Key: LUCENE-2023
> URL: https://issues.apache.org/jira/browse/LUCENE-2023
> Project: Lucene - Java
> Issue Type: Improvement
> Components: contrib/analyzers
> Reporter: Robert Muir
> Assignee: Robert Muir
> Priority: Minor
> Fix For: 3.0
>
> Attachments: LUCENE-2023.patch, LUCENE-2023.patch, LUCENE-2023.patch,
> LUCENE-2023.patch, LUCENE-2023.patch, LUCENE-2023.patch, LUCENE-2023.patch
>
>
> I've noticed SmartChineseAnalyzer is a bit slow, compared to say CJKAnalyzer
> on chinese text.
> This patch improves the internal hhmm implementation.
> Time to index my chinese corpus is 75% of the previous time.
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