you can add bq= inside your {!synonym_edismax} section, if you wish and
it will apply to that query parser only.

Upayavira

On Mon, Sep 7, 2015, at 03:05 PM, dinesh naik wrote:
> Please find below the detail:
> 
>  My main query is like this:
> 
> q=(((_query_:"{!synonym_edismax qf='itemname OR itemnumber OR itemdesc'
> v='HTC' mm=100 synonyms=true synonyms.constructPhrases=true
> synonyms.ignoreQueryOperators=true}") OR (itemname:"HTC" OR
> itemnamecomp:HTC* OR itemnumber:"HTC" OR itemnumbercomp:HTC* OR
> itemdesc:"HTC"~500)) AND (warehouse:Ind02 OR warehouse:Ind03 OR
> warehouse:Ind04 ))
> 
>  Giving Boost of 1000 for warehouse Ind02
>  using below parameter:
> 
>  bq=warehouse:Ind02^1000
> 
> 
> Here i am expecting a boost of 1004 but , somehow 1000 is added extra may
> be because of my additional parser. How can i avoid this?
> 
> 
> Debug information for the boost :
> 
>  <str name="document1">
> 2004.0 = sum of:
>   1004.0 = sum of:
>     1003.0 = sum of:
>       1001.0 = sum of:
>         1.0 = max of:
>           1.0 = weight(itemname:HTC in 235500) [CustomSimilarity], result
> of:
>             1.0 = fieldWeight in 235500, product of:
>               1.0 = tf(freq=1.0), with freq of:
>                 1.0 = termFreq=1.0
>               1.0 = idf(docFreq=26, maxDocs=1738053)
>               1.0 = fieldNorm(doc=235500)
>         1000.0 = weight(warehouse:e02^1000.0 in 235500)
>         [CustomSimilarity],
> result of:
>           1000.0 = score(doc=235500,freq=1.0), product of:
>             1000.0 = queryWeight, product of:
>               1000.0 = boost
>               1.0 = idf(docFreq=416190, maxDocs=1738053)
>               1.0 = queryNorm
>             1.0 = fieldWeight in 235500, product of:
>               1.0 = tf(freq=1.0), with freq of:
>                 1.0 = termFreq=1.0
>               1.0 = idf(docFreq=416190, maxDocs=1738053)
>               1.0 = fieldNorm(doc=235500)
>       2.0 = sum of:
>         1.0 = weight(itemname:HTC in 235500) [CustomSimilarity], result
>         of:
>           1.0 = fieldWeight in 235500, product of:
>             1.0 = tf(freq=1.0), with freq of:
>               1.0 = termFreq=1.0
>             1.0 = idf(docFreq=26, maxDocs=1738053)
>             1.0 = fieldNorm(doc=235500)
>         1.0 = itemnamecomp:HTC*, product of:
>           1.0 = boost
>           1.0 = queryNorm
>     1.0 = sum of:
>       1.0 = weight(warehouse:e02 in 235500) [CustomSimilarity], result
>       of:
>         1.0 = fieldWeight in 235500, product of:
>           1.0 = tf(freq=1.0), with freq of:
>             1.0 = termFreq=1.0
>           1.0 = idf(docFreq=416190, maxDocs=1738053)
>           1.0 = fieldNorm(doc=235500)
>   1000.0 = weight(warehouse:e02^1000.0 in 235500) [CustomSimilarity],
> result of:
>     1000.0 = score(doc=235500,freq=1.0), product of:
>       1000.0 = queryWeight, product of:
>         1000.0 = boost
>         1.0 = idf(docFreq=416190, maxDocs=1738053)
>         1.0 = queryNorm
>       1.0 = fieldWeight in 235500, product of:
>         1.0 = tf(freq=1.0), with freq of:
>           1.0 = termFreq=1.0
>         1.0 = idf(docFreq=416190, maxDocs=1738053)
>         1.0 = fieldNorm(doc=235500)
> </str>
> 
> On Mon, Sep 7, 2015 at 7:21 PM, dinesh naik <dineshkumarn...@gmail.com>
> wrote:
> Hi all,
> 
> Is there a way to apply different boost , using bq parameter for
> different
> parser.
> 
> for example if i am using a synonym parser and edismax parser in a single
> query, my bq param value is getting applied for both the parser making
> the
> boost value double.
> 
> -- 
> Best Regards,
> Dinesh Naik
> 
> 
> 
> 
> 
> On Mon, Sep 7, 2015 at 7:21 PM, dinesh naik <dineshkumarn...@gmail.com>
> wrote:
> 
> > Hi all,
> >
> > Is there a way to apply different boost , using bq parameter for different
> > parser.
> >
> > for example if i am using a synonym parser and edismax parser in a single
> > query, my bq param value is getting applied for both the parser making the
> > boost value double.
> >
> > --
> > Best Regards,
> > Dinesh Naik
> >
> 
> 
> 
> -- 
> Best Regards,
> Dinesh Naik

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