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https://issues.apache.org/jira/browse/JCR-3478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alex Parvulescu reassigned JCR-3478:
------------------------------------

    Assignee: Alex Parvulescu
    
> Partial search terms matching fails when there is a lot of matching content 
> outside the query's scope
> -----------------------------------------------------------------------------------------------------
>
>                 Key: JCR-3478
>                 URL: https://issues.apache.org/jira/browse/JCR-3478
>             Project: Jackrabbit Content Repository
>          Issue Type: Bug
>          Components: jackrabbit-core
>            Reporter: Alex Parvulescu
>            Assignee: Alex Parvulescu
>
> This continues the work from JCR-3428.
> It appears that if we are dealing with a full-text search 'ipsu*', the 
> WildcardQueryRewrite will generate a list of matching tokens to use as the 
> query condition based on all of the matching tokens found in the index, not 
> just the ones that fall into the query's scope.
> This list will next be used in the Excerpt generation, with a 'must all 
> match' condition, which will make the excerpts not work.
> For example if we have the following content:
> /
>   /testNode1 with the property 'text'='lorem ipsum'
>   /testNode2 with the property 'foo'='ipsuFoo'
>   /testNode3 with the property 'bar'='ipsuBar'
> and the query testNode1//*[jcr:contains(., 'ipsu*')]/rep:excerpt(.)
> What will happen is the WildcardQueryRewrite will extract 3 terms for the 
> highlighter: ipsum, ipsuFoo and ipsuBar, wich will be passed as a single list 
> of terms, basically a 'must all match' condition.
> What I want to do is break this list into a list of 3 sets each containing a 
> single term, turning it into a 'match any' type of condition. 
> The interesting part here is that in order to preserve the existing 
> functionality for the japanese language as well (where a work can be 
> comprised of more tokens that are passed around via a PhraseQuery) I'm going 
> to explicitly check and transform PhraseQuery tokens into a 'must all match' 
> list of tokens.

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