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Date: Thu, 27 Aug 2009 10:54:59 -0700 (PDT)
From: "Jason Rutherglen (JIRA)" <jira@apache.org>
To: solr-dev@lucene.apache.org
Subject: [jira] Updated: (SOLR-908) Port of Nutch  CommonGrams filter to
 Solr
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     [ https://issues.apache.org/jira/browse/SOLR-908?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jason Rutherglen updated SOLR-908:
----------------------------------

    Attachment: SOLR-908.patch

I changed: if (prev != null && prev.type() != "gram") from
checking for "word" which when a token was created from
StandardFilter, would be of type "<ALPHANUM>" and was being
discarded. This was causing at least one of the bugs, though
there may be another.

> 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
>            Assignee: Shalin Shekhar Mangar
>            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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