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https://issues.apache.org/jira/browse/LUCENE-5205?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13934964#comment-13934964
 ] 

Tim Allison commented on LUCENE-5205:
-------------------------------------

Y.  Make sure to set allowLeadingWildcard to true.

"t* *" is parsed to:
spanNear([SpanMultiTermQueryWrapper(name:t*), 
SpanMultiTermQueryWrapper(name:*)], 0, true)

If you want to see words that come immediately after "tim", you might want to 
take a look at LUCENE-5317, and if you want to see tf*idf weighted counts of 
words that come immediately after "tim" see LUCENE-5318.  I'll post screenshots 
to those today.  I'm in the process of refactoring both of those (code updates 
in two weeks?), and I'll start asking for help from committers on those once 
this issue is resolved....still lots to do here.


> [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: 4.8
>
>         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_improve_stop_word_handling.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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