David Smiley created LUCENE-8848:
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Summary: UnifiedHighlighter should highlight all Query types that
implement Weight.matches
Key: LUCENE-8848
URL: https://issues.apache.org/jira/browse/LUCENE-8848
Project: Lucene - Core
Issue Type: Improvement
Components: modules/highlighter
Reporter: David Smiley
The UnifiedHighlighter internally extracts terms and automata from the query.
Usually this works perfectly but it's possible a Query might be of a type it
doesn't know -- a leaf query that is perhaps in effect similar to a
MultiTermQuery yet it might not even be a subclass of this or it does but the
UH doesn't know how to extract an automata from it. The UH is oblivious to
this and probably won't highlight this query. If re-analysis of the text is
necessary, the UH will pre-filter all terms to only those it _thinks_ are
pertinent. Or if offsets are in the postings then the UH could perform very
poorly by unleashing this query on the index for each highlighted document
without recognizing re-analysis is a more appropriate path.
I think to solve this, the UnifiedHighlighter.getFieldHighlighter needs to
inspect the query (using a QueryVisitor) to see if it can find a leaf query
that is not one it knows how to pull automata from, and is otherwise not in a
special list (like MatchAllDocsQuery). If we find one, we avoid choosing
OffsetSource.POSTINGS or OffsetSource.NONE_NEEDED since we might in effect have
an MTQ like query. If a MemoryIndex is needed then we don't pre-filter the
terms since we can't assume we know precisely which terms are pertinent.
We needn't bother extracting terms & automata in this case either; it's wasted
effort which can involve building a CharacterRunAutomaton (see
MultiTermHighlighting.binaryToCharRunAutomaton). Speaking of which, it'd be
nice to avoid that in other cases as well, like for WEIGHT_MATCHES when we
aren't using MemoryIndex (thus no term pre-filtering).
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