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From: "Jack Krupansky" <jack@basetechnology.com>
To: <solr-user@lucene.apache.org>
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In-Reply-To: <000701cf3ddc$a62efb30$f28cf190$@conx.ch>
Subject: Re: NOT SOLVED searches for single char tokens instead of from 3
 uppwards
Date: Wed, 12 Mar 2014 08:24:27 -0400
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Sender: "Jack Krupansky" <jack@basetechnology.com>

You didn't show the new index analyzer - it's tricky to assure that index 
and query are compatible, but the Admin UI Analysis page can help.

Generally, using pure defaults for WDF is not what you want, especially for 
query time. Usually there needs to be a slight asymmetry between index and 
query for WDF - index generates more terms than query.

-- Jack Krupansky

-----Original Message----- 
From: Andreas Owen
Sent: Wednesday, March 12, 2014 6:20 AM
To: solr-user@lucene.apache.org
Subject: RE: NOT SOLVED searches for single char tokens instead of from 3 
uppwards

I now have the following:

<analyzer type="query">
<tokenizer class="solr.WhiteSpaceTokenizerFactory"/>
<filter class="solr.WordDelimiterFilterFactory" types="at-under-alpha.txt"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" 
words="lang/stopwords_de.txt" format="snowball" 
enablePositionIncrements="true"/> <!-- remove common words -->
<filter class="solr.GermanNormalizationFilterFactory"/>
<filter class="solr.SnowballPorterFilterFactory" language="German"/>
      </analyzer>

The gui analysis shows me that wdf doesn't cut the underscore anymore but it 
still returns 0 results?

Output:

<lst name="debug">
  <str name="rawquerystring">yh_cug</str>
  <str name="querystring">yh_cug</str>
  <str name="parsedquery">(+DisjunctionMaxQuery((tags:yh_cug^10.0 | 
links:yh_cug^5.0 | thema:yh_cug^15.0 | plain_text:yh_cug^10.0 | 
url:yh_cug^5.0 | h_*:yh_cug^14.0 | inhaltstyp:yh_cug^6.0 | 
breadcrumb:yh_cug^6.0 | contentmanager:yh_cug^5.0 | title:yh_cug^20.0 | 
editorschoice:yh_cug^200.0 | doctype:yh_cug^10.0)) 
((expiration:[1394619501862 TO *] 
(+MatchAllDocsQuery(*:*) -expiration:*))^6.0) 
FunctionQuery((div(int(clicks),max(int(displays),const(1))))^8.0))/no_coord</str>
  <str name="parsedquery_toString">+(tags:yh_cug^10.0 | links:yh_cug^5.0 | 
thema:yh_cug^15.0 | plain_text:yh_cug^10.0 | url:yh_cug^5.0 | 
h_*:yh_cug^14.0 | inhaltstyp:yh_cug^6.0 | breadcrumb:yh_cug^6.0 | 
contentmanager:yh_cug^5.0 | title:yh_cug^20.0 | editorschoice:yh_cug^200.0 | 
doctype:yh_cug^10.0) ((expiration:[1394619501862 TO *] 
(+*:* -expiration:*))^6.0) 
(div(int(clicks),max(int(displays),const(1))))^8.0</str>
  <lst name="explain"/>
  <arr name="expandedSynonyms">
    <str>yh_cug</str>
  </arr>
  <lst name="reasonForNotExpandingSynonyms">
    <str name="name">DidntFindAnySynonyms</str>
    <str name="explanation">No synonyms found for this query.  Check your 
synonyms file.</str>
  </lst>
  <lst name="mainQueryParser">
    <str name="QParser">ExtendedDismaxQParser</str>
    <null name="altquerystring"/>
    <arr name="boost_queries">
      <str>(expiration:[NOW TO *] OR (*:* -expiration:*))^6</str>
    </arr>
    <arr name="parsed_boost_queries">
      <str>(expiration:[1394619501862 TO *] 
(+MatchAllDocsQuery(*:*) -expiration:*))^6.0</str>
    </arr>
    <arr name="boostfuncs">
      <str>div(clicks,max(displays,1))^8</str>
    </arr>
  </lst>
  <lst name="synonymQueryParser">
    <str name="QParser">ExtendedDismaxQParser</str>
    <null name="altquerystring"/>
    <arr name="boostfuncs">
      <str>div(clicks,max(displays,1))^8</str>
    </arr>
  </lst>
  <lst name="timing">


-----Original Message-----
From: Jack Krupansky [mailto:jack@basetechnology.com]
Sent: Dienstag, 11. März 2014 14:25
To: solr-user@lucene.apache.org
Subject: Re: NOT SOLVED searches for single char tokens instead of from 3 
uppwards

The usual use of an ngram filter is at index time and not at query time.
What exactly are you trying to achieve by using ngram filtering at query 
time as well as index time?

Generally, it is inappropriate to combine the word delimiter filter with the 
standard tokenizer - the later removes the punctuation that normally 
influences how WDF treats the parts of a token. Use the white space 
tokenizer if you intend to use WDF.

Which query parser are you using? What fields are being queried?

Please post the parsed query string from the debug output - it will show the 
precise generated query.

I think what you are seeing is that the ngram filter is generating tokens 
like "h_cugtest" and then the WDF is removing the underscore and then "h"
gets generated as a separate token.

-- Jack Krupansky

-----Original Message-----
From: Andreas Owen
Sent: Tuesday, March 11, 2014 5:09 AM
To: solr-user@lucene.apache.org
Subject: RE: NOT SOLVED searches for single char tokens instead of from 3 
uppwards

I got it roght the first time and here is my requesthandler. The field 
"plain_text" is searched correctly and has the sam fieldtype as "title" -> 
"text_de"

<queryParser name="synonym_edismax"
class="solr.SynonymExpandingExtendedDismaxQParserPlugin">
  <lst name="synonymAnalyzers">
<lst name="myCoolAnalyzer">
  <lst name="tokenizer">
<str name="class">standard</str>
  </lst>
  <lst name="filter">
<str name="class">shingle</str>
<str name="outputUnigramsIfNoShingles">true</str>
<str name="outputUnigrams">true</str>
<str name="minShingleSize">2</str>
<str name="maxShingleSize">4</str>
  </lst>
  <lst name="filter">
<str name="class">synonym</str>
<str name="tokenizerFactory">solr.KeywordTokenizerFactory</str>
<str name="synonyms">synonyms.txt</str>
<str name="expand">true</str>
<str name="ignoreCase">true</str>
  </lst>
</lst>
  </lst>
</queryParser>

<requestHandler name="/select2" class="solr.SearchHandler">
     <lst name="defaults">
       <str name="echoParams">explicit</str>
       <int name="rows">10</int>
       <str name="defType">synonym_edismax</str>
   <str name="synonyms">true</str>
   <str name="qf">plain_text^10 editorschoice^200
title^20 h_*^14
tags^10 thema^15 inhaltstyp^6 breadcrumb^6 doctype^10
contentmanager^5 links^5
last_modified^5 url^5
   </str>

<str name="fq">{!q.op=OR} (*:* -organisations:["" TO *] -roles:["" TO *])
(+organisations:($org) +roles:($r)) (-organisations:["" TO *] +roles:($r))
(+organisations:($org) -roles:["" TO *])</str>
   <str name="bq">(expiration:[NOW TO *] OR (*:* -expiration:*))^6</str>
<!-- tested: now or newer or empty gets small boost -->
   <str name="bf">div(clicks,max(displays,1))^8</str> <!-- tested -->

       <str name="df">text</str>
   <str name="fl">*,path,score</str>
   <str name="wt">json</str>
   <str name="q.op">AND</str>

   <!-- Highlighting defaults -->
       <str name="hl">on</str>
       <str name="hl.fl">plain_text,title</str>
   <str name="hl.fragSize">200</str>
   <str name="hl.simple.pre">&lt;b&gt;</str>
       <str name="hl.simple.post">&lt;/b&gt;</str>

<!-- <lst name="invariants"> -->
    <str name="facet">on</str>
<str name="facet.mincount">1</str>
        <str name="facet.field">{!ex=inhaltstyp_s}inhaltstyp_s</str>
<str name="f.inhaltstyp_s.facet.sort">index</str>
<str name="facet.field">{!ex=doctype}doctype</str>
<str name="f.doctype.facet.sort">index</str>
<str name="facet.field">{!ex=thema_f}thema_f</str>
<str name="f.thema_f.facet.sort">index</str>
<str name="facet.field">{!ex=author_s}author_s</str>
<str name="f.author_s.facet.sort">index</str>
<str name="facet.field">{!ex=sachverstaendiger_s}sachverstaendiger_s</str>
<str name="f.sachverstaendiger_s.facet.sort">index</str>
<str name="facet.field">{!ex=veranstaltung_s}veranstaltung_s</str>
<str name="f.veranstaltung_s.facet.sort">index</str>
<str name="facet.date">{!ex=last_modified}last_modified</str>
<str name="facet.date.gap">+1MONTH</str>
<str name="facet.date.end">NOW/MONTH+1MONTH</str>
<str name="facet.date.start">NOW/MONTH-36MONTHS</str>
<str name="facet.date.other">after</str>

       </lst>
</requestHandler>


i have a field with the following type:

<fieldType name="text_de" class="solr.TextField"
positionIncrementGap="100">
       <analyzer>
         <tokenizer class="solr.StandardTokenizerFactory"/>
         <filter class="solr.LowerCaseFilterFactory"/>
           <filter class="solr.StopFilterFactory" ignoreCase="true"
words="lang/stopwords_de.txt" format="snowball"
enablePositionIncrements="true"/> <!-- remove common words -->
                <filter class="solr.GermanNormalizationFilterFactory"/>
           <filter class="solr.SnowballPorterFilterFactory"
language="German"/>
           <filter class="solr.NGramFilterFactory" minGramSize="3"
maxGramSize="15"/>
           <filter class="solr.WordDelimiterFilterFactory"
generateWordParts="1" generateNumberParts="1" catenateWords="1"
catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/>
       </analyzer>
     </fieldType>


shouldn't this make tokens from 3 to 15 in length and not from 1? heres is a 
query report of 2 results:

> <lst name="responseHeader">  <int name="status">0</int>  <int
> name="QTime">125</int>  <lst name="params">    <str
> name="debugQuery">true</str>    <str
> name="fl">title,roles,organisations,id</str>    <str
> name="indent">true</str>    <str name="q">yh_cugtest</str>    <str
> name="_">1394522589347</str>    <str name="wt">xml</str>    <str
> name="fq">organisations:* roles:*</str>  </lst></lst> <result
> name="response" numFound="5" start="0">
>    ..........
> <str name="dms:2681">
> 1.6365329 = (MATCH) sum of:   1.6346203 = (MATCH) max of:
> 0.14759353 = (MATCH) product of:       0.28596246 = (MATCH) sum of:
> 0.01528686 = (MATCH) weight(plain_text:cug in 0) [DefaultSimilarity],
> result of:           0.01528686 = score(doc=0,freq=1.0 = termFreq=1.0
> ), product of:             0.035319194 = queryWeight, product of:
> 5.540098 = idf(docFreq=9, maxDocs=937)               0.0063751927 =
> queryNorm             0.43282017 = fieldWeight in 0, product of:
> 1.0 = tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
> 5.540098 = idf(docFreq=9, maxDocs=937)               0.078125 =
> fieldNorm(doc=0)         0.0119499 = (MATCH) weight(plain_text:ugt in
> 0) [DefaultSimilarity], result of:           0.0119499 =
> score(doc=0,freq=1.0 = termFreq=1.0 ),
product of:             0.031227252 = queryWeight, product of:
> 4.8982444 = idf(docFreq=18, maxDocs=937)               0.0063751927 =
> queryNorm             0.38267535 = fieldWeight in 0, product of:
> 1.0 = tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
> 4.8982444 = idf(docFreq=18, maxDocs=937)               0.078125 =
> fieldNorm(doc=0)         0.019351374 = (MATCH) weight(plain_text:yhc
> in 0) [DefaultSimilarity], result of:           0.019351374 =
> score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.03973814 = queryWeight, product of:               6.2332454 =
> idf(docFreq=4, maxDocs=937)               0.0063751927 = queryNorm
> 0.4869723 = fieldWeight in 0, product of:               1.0 =
> tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
> 6.2332454 =
idf(docFreq=4, maxDocs=937)               0.078125 = fieldNorm(doc=0)
0.019351374 = (MATCH)
> weight(plain_text:hcu in 0) [DefaultSimilarity], result of:
> 0.019351374 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.03973814 = queryWeight, product of:               6.2332454 =
> idf(docFreq=4, maxDocs=937)               0.0063751927 = queryNorm
> 0.4869723 = fieldWeight in 0, product of:               1.0 =
> tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
> 6.2332454 = idf(docFreq=4, maxDocs=937)               0.078125 =
> fieldNorm(doc=0)         0.01528686 = (MATCH) weight(plain_text:cug in
> 0) [DefaultSimilarity], result of:           0.01528686 =
> score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.035319194 = queryWeight, product of:               5.540098 =
> idf(docFreq=9, maxDocs=937)               0.0063751927 =
queryNorm             0.43282017 = fieldWeight in 0, product of:
1.0 =
> tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
> 5.540098 = idf(docFreq=9, maxDocs=937)               0.078125 =
> fieldNorm(doc=0)         0.019351374 = (MATCH) weight(plain_text:cugt in
> 0) [DefaultSimilarity], result of:           0.019351374 =
> score(doc=0,freq=1.0 = termFreq=1.0 ), product of:             0.03973814
> = queryWeight, product of:               6.2332454 = idf(docFreq=4,
> maxDocs=937)               0.0063751927 = queryNorm             0.4869723
> = fieldWeight in 0, product of:               1.0 = tf(freq=1.0), with
> freq of:                 1.0 = termFreq=1.0               6.2332454 =
> idf(docFreq=4, maxDocs=937)               0.078125 = fieldNorm(doc=0)
> 0.019351374 = (MATCH) weight(plain_text:yhcu in 0)
> [DefaultSimilarity], result of:
0.019351374 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
0.03973814 =
> queryWeight, product of:               6.2332454 = idf(docFreq=4,
> maxDocs=937)               0.0063751927 = queryNorm
> 0.4869723 = fieldWeight in 0, product of:               1.0 =
> tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
> 6.2332454 = idf(docFreq=4, maxDocs=937)               0.078125 =
> fieldNorm(doc=0)         0.01528686 = (MATCH) weight(plain_text:cug in
> 0) [DefaultSimilarity], result of:           0.01528686 =
> score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.035319194 = queryWeight, product of:               5.540098 =
> idf(docFreq=9, maxDocs=937)               0.0063751927 = queryNorm
> 0.43282017 = fieldWeight in 0, product of:               1.0 =
> tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
            5.540098 = idf(docFreq=9, maxDocs=937)               0.078125 =
fieldNorm(doc=0)
> 0.019351374 = (MATCH) weight(plain_text:hcug in 0)
> [DefaultSimilarity], result of:           0.019351374 =
> score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.03973814 = queryWeight, product of:               6.2332454 =
> idf(docFreq=4, maxDocs=937)               0.0063751927 = queryNorm
> 0.4869723 = fieldWeight in 0, product of:               1.0 =
> tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
> 6.2332454 = idf(docFreq=4, maxDocs=937)               0.078125 =
> fieldNorm(doc=0)         0.019351374 = (MATCH) weight(plain_text:cugt
> in 0) [DefaultSimilarity], result of:           0.019351374 =
> score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.03973814 = queryWeight, product of:               6.2332454 =
> idf(docFreq=4, maxDocs=937)
      0.0063751927 = queryNorm             0.4869723 = fieldWeight in 0,
product of:
>           1.0 = tf(freq=1.0), with freq of:                 1.0 =
> termFreq=1.0               6.2332454 = idf(docFreq=4, maxDocs=937)
> 0.078125 = fieldNorm(doc=0)         0.01528686 = (MATCH)
> weight(plain_text:cug in 0) [DefaultSimilarity], result of:
> 0.01528686 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.035319194 = queryWeight, product of:               5.540098 =
> idf(docFreq=9, maxDocs=937)               0.0063751927 = queryNorm
> 0.43282017 = fieldWeight in 0, product of:               1.0 =
> tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
> 5.540098 = idf(docFreq=9, maxDocs=937)               0.078125 =
> fieldNorm(doc=0)         0.019351374 = (MATCH) weight(plain_text:yhcug
> in 0) [DefaultSimilarity], result
of:           0.019351374 = score(doc=0,freq=1.0 = termFreq=1.0 ), product
of:
> 0.03973814 = queryWeight, product of:               6.2332454 =
> idf(docFreq=4, maxDocs=937)               0.0063751927 = queryNorm
> 0.4869723 = fieldWeight in 0, product of:               1.0 =
> tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
> 6.2332454 = idf(docFreq=4, maxDocs=937)               0.078125 =
> fieldNorm(doc=0)         0.019351374 = (MATCH) weight(plain_text:cugt
> in 0) [DefaultSimilarity], result of:           0.019351374 =
> score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.03973814 = queryWeight, product of:               6.2332454 =
> idf(docFreq=4, maxDocs=937)               0.0063751927 = queryNorm
> 0.4869723 = fieldWeight in 0, product of:               1.0 =
> tf(freq=1.0), with freq of:                 1.0 =
termFreq=1.0               6.2332454 = idf(docFreq=4, maxDocs=937)
0.078125 =
> fieldNorm(doc=0)         0.019351374 = (MATCH) weight(plain_text:hcugt
> in 0) [DefaultSimilarity], result of:           0.019351374 =
> score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.03973814 = queryWeight, product of:               6.2332454 =
> idf(docFreq=4, maxDocs=937)               0.0063751927 = queryNorm
> 0.4869723 = fieldWeight in 0, product of:               1.0 =
> tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
> 6.2332454 = idf(docFreq=4, maxDocs=937)               0.078125 =
> fieldNorm(doc=0)         0.019351374 = (MATCH) weight(plain_text:cugt
> in 0) [DefaultSimilarity], result of:           0.019351374 =
> score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.03973814 = queryWeight, product of:               6.2332454 =
idf(docFreq=4, maxDocs=937)               0.0063751927 = queryNorm
0.4869723 =
> fieldWeight in 0, product of:               1.0 = tf(freq=1.0), with
> freq of:                 1.0 = termFreq=1.0               6.2332454 =
> idf(docFreq=4, maxDocs=937)               0.078125 = fieldNorm(doc=0)
> 0.019351374 = (MATCH) weight(plain_text:yhcugt in 0)
> [DefaultSimilarity], result of:           0.019351374 =
> score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.03973814 = queryWeight, product of:               6.2332454 =
> idf(docFreq=4, maxDocs=937)               0.0063751927 = queryNorm
> 0.4869723 = fieldWeight in 0, product of:               1.0 =
> tf(freq=1.0), with freq of:                 1.0 = termFreq=1.0
> 6.2332454 = idf(docFreq=4, maxDocs=937)               0.078125 =
> fieldNorm(doc=0)       0.516129 = coord(16/31)     1.6346203 =
(MATCH) sum of:       0.08372684 = (MATCH) weight(title:yh in 0)
[DefaultSimilarity], result of:
>    0.08372684 = score(doc=0,freq=13.0 = termFreq=13.0 ), product of:
> 0.07947628 = queryWeight, product of:             6.2332454 =
> idf(docFreq=4, maxDocs=937)             0.012750385 = queryNorm
> 1.053482 = fieldWeight in 0, product of:             3.6055512 =
> tf(freq=13.0), with freq of:               13.0 = termFreq=13.0
> 6.2332454 = idf(docFreq=4, maxDocs=937)             0.046875 =
> fieldNorm(doc=0)       0.08372684 = (MATCH) weight(title:h in 0)
> [DefaultSimilarity], result of:         0.08372684 =
> score(doc=0,freq=13.0 = termFreq=13.0 ), product of:
> 0.07947628 = queryWeight, product of:             6.2332454 =
> idf(docFreq=4, maxDocs=937)             0.012750385 = queryNorm
> 1.053482 = fieldWeight in 0, product of:             3.6055512 =
> tf(freq=13.0),
with freq of:               13.0 = termFreq=13.0             6.2332454 =
> idf(docFreq=4, maxDocs=937)             0.046875 = fieldNorm(doc=0)
> 0.08993706 = (MATCH) weight(title:c in 0) [DefaultSimilarity], result
> of:         0.08993706 = score(doc=0,freq=15.0 = termFreq=15.0 ),
> product of:           0.07947628 = queryWeight, product of:
> 6.2332454 = idf(docFreq=4, maxDocs=937)             0.012750385 =
> queryNorm           1.1316214 = fieldWeight in 0, product of:
> 3.8729835 = tf(freq=15.0), with freq of:               15.0 =
> termFreq=15.0             6.2332454 = idf(docFreq=4, maxDocs=937)
> 0.046875 = fieldNorm(doc=0)       0.023221647 = (MATCH)
> weight(title:hc in 0) [DefaultSimilarity], result of:
> 0.023221647 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
> 0.07947628 = queryWeight, product of:             6.2332454 =
idf(docFreq=4, maxDocs=937)             0.012750385 = queryNorm
> 0.29218337 = fieldWeight in 0, product of:             1.0 =
> tf(freq=1.0), with freq of:               1.0 = termFreq=1.0
> 6.2332454 = idf(docFreq=4, maxDocs=937)             0.046875 =
> fieldNorm(doc=0)       0.040221076 = (MATCH) weight(title:cu in 0)
> [DefaultSimilarity], result of:         0.040221076 =
> score(doc=0,freq=3.0 = termFreq=3.0 ), product of:
> 0.07947628 = queryWeight, product of:             6.2332454 =
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