That won't boost order but Lucene's SpanFirstQuery does. You do have to make a
custom query parser plugin for it but that's trivial.
-----Original message-----
> From:Otis Gospodnetic <[email protected]>
> Sent: Thursday 26th September 2013 13:24
> To: [email protected]
> Subject: Re: Exact Word Match Search comes in first come In Solr4.3
>
> Hello there.
>
> Use two fields, one unanalyzed and the other analyzed and boost the former.
>
> Otis
> Solr & ElasticSearch Support
> http://sematext.com/
> On Sep 26, 2013 7:19 AM, "Viresh Modi" <[email protected]> wrote:
>
> > I want to get ORDER As Per Exact Search match:
> >
> > Search with "EMIR" comes First exact match “Emir” not “United Arab
> > Emirates”.
> >
> > For example, when you search for “EMIR” the first result has nothing to do
> > with that and is all about “United Arab Emirates”, which obviously contains
> > “Emir” as part of “Emirates”. This is obviously less relevant than an exact
> > match on “EMIR”.
> >
> > *MY SOLR INDEX RESULT:*
> >
> > <doc>
> >
> > <str name="content">Weight United Arab Emirates</str>
> >
> > </doc>
> > <doc>
> >
> > <str name="content">Emir My Search Content</str>
> >
> > </doc>
> >
> > *Debug for Query :*
> >
> > <str name="OnlineR3_6_4_10_22">
> > 0.4016216 = (MATCH) weight(text:emir in 0) [DefaultSimilarity], result of:
> > 0.4016216 = fieldWeight in 0, product of:
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = termFreq=1.0
> > 3.2129729 = idf(docFreq=48, maxDocs=448)
> > 0.125 = fieldNorm(doc=0)</str>
> > <str name="OnlineR3_6_4_10_23">
> > 0.4016216 = (MATCH) weight(text:emir in 0) [DefaultSimilarity], result of:
> > 0.4016216 = fieldWeight in 0, product of:
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = termFreq=1.0
> > 3.2129729 = idf(docFreq=48, maxDocs=448)
> > 0.125 = fieldNorm(doc=0)</str>
> >
> > *MY Schema.xml Looks like :*
> >
> > <field name="content" type="text_en_splitting" indexed="true" stored="true"
> > termVectors="true" termPositions="true" termOffsets="true" />
> >
> >
> > <fieldType name="text_en_splitting" class="solr.TextField"
> > positionIncrementGap="100" autoGeneratePhraseQueries="true">
> > <analyzer type="index">
> > <tokenizer class="solr.WhitespaceTokenizerFactory"/>
> > <filter class="solr.StopFilterFactory"
> > ignoreCase="true"
> > words="lang/stopwords_en.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.KeywordMarkerFilterFactory"
> > protected="protwords.txt"/>
> > <filter class="solr.PorterStemFilterFactory"/>
> > </analyzer>
> > <analyzer type="query">
> > <tokenizer class="solr.WhitespaceTokenizerFactory"/>
> > <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt"
> > ignoreCase="true" expand="true"/>
> > <filter class="solr.StopFilterFactory" ignoreCase="true"
> > words="lang/stopwords_en.txt" enablePositionIncrements="true"/>
> > <filter class="solr.WordDelimiterFilterFactory"
> > generateWordParts="1" generateNumberParts="1" catenateWords="1"
> > catenateNumbers="1" catenateAll="0" splitOnCaseChange="0"/>
> > <filter class="solr.LowerCaseFilterFactory"/>
> > <filter class="solr.KeywordMarkerFilterFactory"
> > protected="protwords.txt"/>
> > <filter class="solr.PorterStemFilterFactory"/>
> > </analyzer>
> > </fieldType>
> >
>
