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https://issues.apache.org/jira/browse/SOLR-908?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12757413#action_12757413
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Jason Rutherglen commented on SOLR-908:
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Interesting, the whole reusableTokenStream model is new to me,
so it wasn't in my mental view of how Lucene analyzers work. It
seems if BTS is caching tokens, then being reused, and isn't
reset, then there would be excess tokens instead of deletions?
Or perhaps the reset is being called from another analyzer? It's
quite confusing. I started work on a LoggingTokenizer that could
be inserted between tokenizers in the Solr schema, however have
been working on reproducing the issue (which hasn't worked
either).
Uwe, Yonik, and Robert, thanks for taking a look!
> Port of Nutch CommonGrams filter to Solr
> -----------------------------------------
>
> Key: SOLR-908
> URL: https://issues.apache.org/jira/browse/SOLR-908
> Project: Solr
> Issue Type: Wish
> Components: Analysis
> Reporter: Tom Burton-West
> Priority: Minor
> Attachments: CommonGramsPort.zip, SOLR-908.patch, SOLR-908.patch,
> SOLR-908.patch, SOLR-908.patch, SOLR-908.patch, SOLR-908.patch, SOLR-908.patch
>
>
> Phrase queries containing common words are extremely slow. We are reluctant
> to just use stop words due to various problems with false hits and some
> things becoming impossible to search with stop words turned on. (For example
> "to be or not to be", "the who", "man in the moon" vs "man on the moon" etc.)
>
> Several postings regarding slow phrase queries have suggested using the
> approach used by Nutch. Perhaps someone with more Java/Solr experience might
> take this on.
> It should be possible to port the Nutch CommonGrams code to Solr and create
> a suitable Solr FilterFactory so that it could be used in Solr by listing it
> in the Solr schema.xml.
> "Construct n-grams for frequently occuring terms and phrases while indexing.
> Optimize phrase queries to use the n-grams. Single terms are still indexed
> too, with n-grams overlaid."
> http://lucene.apache.org/nutch/apidocs-0.8.x/org/apache/nutch/analysis/CommonGrams.html
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