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https://issues.apache.org/jira/browse/LUCENE-7769?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15973212#comment-15973212
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ASF subversion and git services commented on LUCENE-7769:
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Commit 3176e650b250af6eb08a3ff6b073c5b649b7e467 in lucene-solr's branch
refs/heads/branch_6_5 from [~dsmiley]
[ https://git-wip-us.apache.org/repos/asf?p=lucene-solr.git;h=3176e65 ]
LUCENE-7769: UnifiedHighlighter wasn't seeing inside BoostQuery or
SpanBoostQuery
(cherry picked from commit 05b101f)
> UnifiedHighlighter doesn't highlight MTQs wrapped in BoostQuery
> ---------------------------------------------------------------
>
> Key: LUCENE-7769
> URL: https://issues.apache.org/jira/browse/LUCENE-7769
> Project: Lucene - Core
> Issue Type: Bug
> Components: modules/highlighter
> Affects Versions: 6.5, 6.4.2
> Reporter: Dmitry Malinin
> Attachments: LUCENE_7769_MTQ_in_BoostQuery.patch
>
>
> UnifiedHighlighter doesn't highlight MTQ wrapped in BoostQuery.
> For example, suppose we have a doc with a field 'f' contains data 'lucene'.
> UnifiedHighlighter highlights query _(f:lucene*)_, but query _(f:lucene*)^1_
> doesn't. Test code:
> {code}
> String field = "f";
> String content = "lucene";
> Term term = new Term(field, content);
> UnifiedHighlighter highlighter = new UnifiedHighlighter(null, new
> StandardAnalyzer());
> Query[] queries = {new PrefixQuery(term), new BoostQuery(new
> PrefixQuery(term), 1.0f)};
> Object fragObj;
> for (Query query : queries)
> {
> fragObj = highlighter.highlightWithoutSearcher(field, query, content,
> 1);
> System.out.printf("content=[%s] Query=%s frag=[%s]\n", content,
> query, fragObj);
> }
> {code}
> My opinion it's because MultiTermHighlighting.extractAutomata() returns an
> empty automaton for BoostQuery. I think, should add some thing like:
> {code}
> if (query instanceof BoostQuery)
> {
> list.addAll(Arrays.asList(extractAutomata(((BoostQuery)
> query).getQuery(), fieldMatcher, lookInSpan, preRewriteFunc))) ;
> }
> {code}
> to MultiTermHighlighting.extractAutomata()
> Thanks.
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