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From "Uwe Schindler (JIRA)" <j...@apache.org>
Subject [jira] Commented: (SOLR-908) Port of Nutch CommonGrams filter to Solr
Date Fri, 18 Sep 2009 18:53:16 GMT

    [ https://issues.apache.org/jira/browse/SOLR-908?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12757344#action_12757344
] 

Uwe Schindler commented on SOLR-908:
------------------------------------

In my opinion, the problem is BufferedTokenStream (should its name not BufferedTokenFilter?).
It has the linked list but does not implement reset(). So the problem is not this issue, more
the usage of reset because you reuse the token stream. As long as BufferedTokenStream is not
fixed to support reset() you have to create new instances.

> 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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