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https://issues.apache.org/jira/browse/LUCENE-5205?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13924671#comment-13924671
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Nikhil Chhaochharia commented on LUCENE-5205:
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PhraseQuery does not guarantee that a false hit will be a stop word - if the
data contains 'calculator xyz evaluating' and we search for "calculator for
evaluating", then it will match.
I think that replacing the StopFilter with a SynonymFilter where all the stop
words are synonyms of each other may work well. Initial tests by my team
indicate that it behaves as expected. The index size does increases by about
20%, but we can live with that. I am wondering if there are any side effects
that we are missing?
> [PATCH] SpanQueryParser with recursion, analysis and syntax very similar to
> classic QueryParser
> -----------------------------------------------------------------------------------------------
>
> Key: LUCENE-5205
> URL: https://issues.apache.org/jira/browse/LUCENE-5205
> Project: Lucene - Core
> Issue Type: Improvement
> Components: core/queryparser
> Reporter: Tim Allison
> Labels: patch
> Fix For: 4.7
>
> Attachments: LUCENE-5205-cleanup-tests.patch,
> LUCENE-5205-date-pkg-prvt.patch, LUCENE-5205.patch.gz, LUCENE-5205.patch.gz,
> LUCENE-5205_dateTestReInitPkgPrvt.patch, LUCENE-5205_smallTestMods.patch,
> LUCENE_5205.patch, SpanQueryParser_v1.patch.gz, patch.txt
>
>
> This parser extends QueryParserBase and includes functionality from:
> * Classic QueryParser: most of its syntax
> * SurroundQueryParser: recursive parsing for "near" and "not" clauses.
> * ComplexPhraseQueryParser: can handle "near" queries that include multiterms
> (wildcard, fuzzy, regex, prefix),
> * AnalyzingQueryParser: has an option to analyze multiterms.
> At a high level, there's a first pass BooleanQuery/field parser and then a
> span query parser handles all terminal nodes and phrases.
> Same as classic syntax:
> * term: test
> * fuzzy: roam~0.8, roam~2
> * wildcard: te?t, test*, t*st
> * regex: /\[mb\]oat/
> * phrase: "jakarta apache"
> * phrase with slop: "jakarta apache"~3
> * default "or" clause: jakarta apache
> * grouping "or" clause: (jakarta apache)
> * boolean and +/-: (lucene OR apache) NOT jakarta; +lucene +apache -jakarta
> * multiple fields: title:lucene author:hatcher
>
> Main additions in SpanQueryParser syntax vs. classic syntax:
> * Can require "in order" for phrases with slop with the \~> operator:
> "jakarta apache"\~>3
> * Can specify "not near": "fever bieber"!\~3,10 ::
> find "fever" but not if "bieber" appears within 3 words before or 10
> words after it.
> * Fully recursive phrasal queries with \[ and \]; as in: \[\[jakarta
> apache\]~3 lucene\]\~>4 ::
> find "jakarta" within 3 words of "apache", and that hit has to be within
> four words before "lucene"
> * Can also use \[\] for single level phrasal queries instead of " as in:
> \[jakarta apache\]
> * Can use "or grouping" clauses in phrasal queries: "apache (lucene solr)"\~3
> :: find "apache" and then either "lucene" or "solr" within three words.
> * Can use multiterms in phrasal queries: "jakarta\~1 ap*che"\~2
> * Did I mention full recursion: \[\[jakarta\~1 ap*che\]\~2 (solr~
> /l\[ou\]\+\[cs\]\[en\]\+/)]\~10 :: Find something like "jakarta" within two
> words of "ap*che" and that hit has to be within ten words of something like
> "solr" or that "lucene" regex.
> * Can require at least x number of hits at boolean level: "apache AND (lucene
> solr tika)~2
> * Can use negative only query: -jakarta :: Find all docs that don't contain
> "jakarta"
> * Can use an edit distance > 2 for fuzzy query via SlowFuzzyQuery (beware of
> potential performance issues!).
> Trivial additions:
> * Can specify prefix length in fuzzy queries: jakarta~1,2 (edit distance =1,
> prefix =2)
> * Can specifiy Optimal String Alignment (OSA) vs Levenshtein for distance
> <=2: (jakarta~1 (OSA) vs jakarta~>1(Levenshtein)
> This parser can be very useful for concordance tasks (see also LUCENE-5317
> and LUCENE-5318) and for analytical search.
> Until LUCENE-2878 is closed, this might have a use for fans of SpanQuery.
> Most of the documentation is in the javadoc for SpanQueryParser.
> Any and all feedback is welcome. Thank you.
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