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https://issues.apache.org/jira/browse/LUCENE-3234?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13054007#comment-13054007
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Robert Muir commented on LUCENE-3234:
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I like this tradeoff Mike, thanks!
should we consider setting some kind of absurd default like 10,000 to really
prevent some pathological cases with huge documents?
We could document in CHANGES.txt that if you want the old behavior, set it to
-1 or Integer.MAX_VALUE (I think we can use this here? offsets are ints?)
> Provide limit on phrase analysis in FastVectorHighlighter
> ---------------------------------------------------------
>
> Key: LUCENE-3234
> URL: https://issues.apache.org/jira/browse/LUCENE-3234
> Project: Lucene - Java
> Issue Type: Improvement
> Reporter: Mike Sokolov
> Attachments: LUCENE-3234.patch
>
>
> With larger documents, FVH can spend a lot of time trying to find the
> best-scoring snippet as it examines every possible phrase formed from
> matching terms in the document. If one is willing to accept
> less-than-perfect scoring by limiting the number of phrases that are
> examined, substantial speedups are possible. This is analogous to the
> Highlighter limit on the number of characters to analyze.
> The patch includes an artifical test case that shows > 1000x speedup. In a
> more normal test environment, with English documents and random queries, I am
> seeing speedups of around 3-10x when setting phraseLimit=1, which has the
> effect of selecting the first possible snippet in the document. Most of our
> sites operate in this way (just show the first snippet), so this would be a
> big win for us.
> With phraseLimit = -1, you get the existing FVH behavior. At larger values of
> phraseLimit, you may not get substantial speedup in the normal case, but you
> do get the benefit of protection against blow-up in pathological cases.
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