[
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
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.
