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https://issues.apache.org/jira/browse/LUCENE-1889?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12751753#action_12751753
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Robert Muir commented on LUCENE-1889:
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Jason, no but the high-level idea in concept is similar: re-run the query on
single doc "mini-index" to work a bit differently (specialized for highlighting)
if i had done it in a nice way I would have contributed something :)
> FastVectorHighlighter: support for additional queries
> -----------------------------------------------------
>
> Key: LUCENE-1889
> URL: https://issues.apache.org/jira/browse/LUCENE-1889
> Project: Lucene - Java
> Issue Type: Wish
> Components: contrib/*
> Reporter: Robert Muir
> Priority: Minor
>
> I am using fastvectorhighlighter for some strange languages and it is working
> well!
> One thing i noticed immediately is that many query types are not highlighted
> (multitermquery, multiphrasequery, etc)
> Here is one thing Michael M posted in the original ticket:
> {quote}
> I think a nice [eventual] model would be if we could simply re-run the
> scorer on the single document (using InstantiatedIndex maybe, or
> simply some sort of wrapper on the term vectors which are already a
> mini-inverted-index for a single doc), but extend the scorer API to
> tell us the exact term occurrences that participated in a match (which
> I don't think is exposed today).
> {quote}
> Due to strange requirements I am using something similar to this (but
> specialized to our case).
> I am doing strange things like forcing multitermqueries to rewrite into
> boolean queries so they will be highlighted,
> and flattening multiphrasequeries into boolean or'ed phrasequeries.
> I do not think these things would be 'fast', but i had a few ideas that might
> help:
> * looking at contrib/highlighter, you can support FilteredQuery in flatten()
> by calling getQuery() right?
> * maybe as a last resort, try Query.extractTerms() ?
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