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https://issues.apache.org/jira/browse/SOLR-908?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12736800#action_12736800
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Tom Burton-West commented on SOLR-908:
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Hi Jason,
Thanks for the contribution. I applied the patch to the latest Solr and the
QueryFilter tests failed (see below). Perhaps something is wrong with my
configuration. Did they pass for you.?
I'll dig in to this tomorrow.
Tom.
TEST-org.apache.solr.analysis.CommonGramsQueryFilterTest.xml:<testsuite
errors="0" failures="17" hostname="ULIB-LIT0602"
name="org.apache.solr.analysis.CommonGramsQueryFilterTest" tests="22"
time="0.453" timestamp="2009-07-29T19:49:24">
TESTS-TestSuites.xml: <testsuite errors="0" failures="17"
hostname="ULIB-LIT0602" id="12" name="CommonGramsQueryFilterT
est" package="org.apache.solr.analysis" tests="22" time="0.453"
timestamp="2009-07-29T19:49:24">
bash-3.2$
> 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
>
>
> 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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