Not sure I understood question. What I meant is you to try setting omitNorms="false" to your txt_token field type if you want to stick with ngram only solution:

<fieldType name="txt_token" class="solr.TextField" positionIncrementGap="0" 
omitNorms="false">
                <analyzer type="index">
                                <charFilter class="solr.PatternReplaceCharFilterFactory" 
pattern="\s+" replacement=" "/>
                                <tokenizer 
class="solr.WhitespaceTokenizerFactory"/>
                                <filter class="solr.LowerCaseFilterFactory"/>
                                <filter class="solr.NGramFilterFactory" minGramSize="2" 
maxGramSize="800"/>
                </analyzer>
                 <analyzer type="query">
                                <charFilter class="solr.PatternReplaceCharFilterFactory" 
pattern="\s+" replacement=" "/>
                                <tokenizer 
class="solr.WhitespaceTokenizerFactory"/>
                                <filter class="solr.LowerCaseFilterFactory"/>
                                <filter class="solr.NGramFilterFactory" minGramSize="2" 
maxGramSize="800"/>
                </analyzer>
  </fieldType>


and to add new field type and field to keep nonngram version of field. Something like:

<fieldType name="txt_token_simple" class="solr.TextField" positionIncrementGap="0" 
>
                <analyzer type="index">
                                <charFilter class="solr.PatternReplaceCharFilterFactory" 
pattern="\s+" replacement=" "/>
                                <tokenizer 
class="solr.WhitespaceTokenizerFactory"/>
                                <filter class="solr.LowerCaseFilterFactory"/>
                </analyzer>
                 <analyzer type="query">
                                <charFilter class="solr.PatternReplaceCharFilterFactory" 
pattern="\s+" replacement=" "/>
                                <tokenizer 
class="solr.WhitespaceTokenizerFactory"/>
                                <filter class="solr.LowerCaseFilterFactory"/>
                </analyzer>
  </fieldType>


and use copyField to copy to both fields and query title:test OR title_simple:test.

Emir


On 07.03.2016 15:31, G, Rajesh wrote:
Hi Emir,

I have already applied

<tokenizer class="solr.WhitespaceTokenizerFactory"/> and then I have applied <filter 
class="solr.NGramFilterFactory" minGramSize="2" maxGramSize="800"/>. Is this what you wanted me to 
have in my config?

Thanks
Rajesh



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-----Original Message-----
From: G, Rajesh [mailto:r...@cebglobal.com]
Sent: Monday, March 7, 2016 7:50 PM
To: solr-user@lucene.apache.org
Subject: RE: Text search NGram

Hi Emir,

Thanks for you email. Can you please help me to understand what do you mean by "e.g. 
boost if matching tokenized fileds to make sure exact matches are ordered first"



Corporate Executive Board India Private Limited. Registration No: 
U741040HR2004PTC035324. Registered office: 6th Floor, Tower B, DLF Building 
No.10 DLF Cyber City, Gurgaon, Haryana-122002, India.

This e-mail and/or its attachments are intended only for the use of the 
addressee(s) and may contain confidential and legally privileged information 
belonging to CEB and/or its subsidiaries, including CEB subsidiaries that offer 
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in error, please notify the sender and immediately, destroy all copies of this 
email and its attachments. The publication, copying, in whole or in part, or 
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other than the intended person(s) is prohibited.

-----Original Message-----
From: Emir Arnautovic [mailto:emir.arnauto...@sematext.com]
Sent: Monday, March 7, 2016 7:36 PM
To: solr-user@lucene.apache.org
Subject: Re: Text search NGram

Hi Rajesh,
It is most likely related to norms - you can try setting omitNorms="true" and 
reindexing content. Anyway, it is not common to use just ngrams for matching content - in 
such case you can expect more unexpected ordering/results. You should combine ngrams 
fields with normally tokenized fields (e.g. boost if matching tokenized fileds to make 
sure exact matches are ordered first).

Regards,
Emir

On 07.03.2016 11:44, G, Rajesh wrote:
Hi Team,

We have the blow type and we have indexed the value  "title": "Microsoft Visual Studio 2006" and 
"title": "Microsoft Visual Studio 8.0.61205.56 (2005)"

When I search for title:(Microsoft Visual AND Studio AND 2005)  I get Microsoft 
Visual Studio 8.0.61205.56 (2005) as the second record and  Microsoft Visual 
Studio 2006 as first record. I wanted to have Microsoft Visual Studio 
8.0.61205.56 (2005) listed first since the user has searched for Microsoft 
Visual Studio 2005. Can you please help?.

We are using NGram so it takes care of misspelled or jumbled words[it
works as expected] e.g.
searching Micrs Visual Studio will gets Microsoft Visual Studio
searching Visual Microsoft Studio will gets Microsoft Visual Studio

    <fieldType name="txt_token" class="solr.TextField" positionIncrementGap="0" 
>
                  <analyzer type="index">
                                  <charFilter class="solr.PatternReplaceCharFilterFactory" 
pattern="\s+" replacement=" "/>
                                  <tokenizer 
class="solr.WhitespaceTokenizerFactory"/>
                                  <filter class="solr.LowerCaseFilterFactory"/>
                                  <filter class="solr.NGramFilterFactory" minGramSize="2" 
maxGramSize="800"/>
                  </analyzer>
                   <analyzer type="query">
                                  <charFilter class="solr.PatternReplaceCharFilterFactory" 
pattern="\s+" replacement=" "/>
                                  <tokenizer 
class="solr.WhitespaceTokenizerFactory"/>
                                  <filter class="solr.LowerCaseFilterFactory"/>
                                  <filter class="solr.NGramFilterFactory" minGramSize="2" 
maxGramSize="800"/>
                  </analyzer>
    </fieldType>



Corporate Executive Board India Private Limited. Registration No: 
U741040HR2004PTC035324. Registered office: 6th Floor, Tower B, DLF Building 
No.10 DLF Cyber City, Gurgaon, Haryana-122002, India..



This e-mail and/or its attachments are intended only for the use of the 
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in error, please notify the sender and immediately, destroy all copies of this 
email and its attachments. The publication, copying, in whole or in part, or 
use or dissemination in any other way of this e-mail and attachments by anyone 
other than the intended person(s) is prohibited.


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Monitoring * Alerting * Anomaly Detection * Centralized Log Management Solr & 
Elasticsearch Support * http://sematext.com/


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