yes that is exactly what happend in the analyzer. the term i searched for was listed on both sides (index & query).
here's the rest: <analyzer type="index"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <!-- in this example, we will only use synonyms at query time <filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/> --> <!-- Case insensitive stop word removal. enablePositionIncrements=true ensures that a 'gap' is left to allow for accurate phrase queries. --> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" /> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.EnglishPorterFilterFactory" protected="protwords.txt"/> <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> </analyzer> -----Original-Nachricht----- > Von: "Jack Krupansky" <j...@basetechnology.com> > An: solr-user@lucene.apache.org > Datum: 12/03/2014 13:25 > Betreff: Re: NOT SOLVED searches for single char tokens instead of from 3 > uppwards > > 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:j...@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"><b></str> > <str name="hl.simple.post"></b></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 = > > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm > > 0.50607646 = fieldWeight in 0, product of: 1.7320508 = > > tf(freq=3.0), with freq of: 3.0 = termFreq=3.0 > > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = > > fieldNorm(doc=0) 0.046443295 = (MATCH) weight(title:cug in 0) > > [DefaultSimilarity], result > of: 0.046443295 = score(doc=0,freq=4.0 = termFreq=4.0 ), product of: > > 0.07947628 = queryWeight, product of: 6.2332454 = > > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm > > 0.58436674 = fieldWeight in 0, product of: 2.0 = > > tf(freq=4.0), with freq of: 4.0 = termFreq=4.0 > > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = > > fieldNorm(doc=0) 0.023221647 = (MATCH) weight(title:ugt 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) > 0.08372684 = (MATCH) > > weight(title:yh in 0) 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