I tried adding some city to state mappings in the synonyms file. I'm using
the dismax handler for phrase matching. So as & when i add more & more city
to state mappings, I end up with zero results for state based searches.
Eg: ca,california,los angeles
     ca,california,san diego
     ca,california,san francisco
     ca,california,burbank    and so on....
now a city based search returns a few other california results but a state
based search like dui california is returning zero results. 
I checked the parsedquery_toString and I see no 'OR' although the default
operator is 'OR' in schema. It looks like its trying to find matches for all
those cities as they are mapped to 'california' and hence returns zero
results. How to force dismax to use 'OR' and not 'AND' even though the
schema has 'OR'.
Or is this how dismax works? Can someone explain how to overcome this
problem. 
Here is my custom request handler that extends dismax
<requestHandler name="qfacet" class="solr.DisMaxRequestHandler" >
    <lst name="defaults">
     <str name="echoParams">explicit</str>
     <float name="tie">0.01</float>
     <str name="qf">name^2.0 text^0.8</str>
     <!-- until 3 all should match;4 - 3 shld match; 5 - 4 shld match; 6 - 5
shld match; above 6 - 90% match -->
     <str name="mm">3&lt;-1 4&lt;-1 5&lt;-1 6&lt;90%</str>
     <str name="pf">
         text^0.8 name^2.0
     </str>
     <int name="qs">4</int>
     <int name="ps">4</int>
     <str name="fl">
             *,score
     </str>  

    </lst>
    <lst name="invariants">
      <!--<str name="facet.field">resourceType</str>
      <str name="facet.field">category</str>
      <str name="facet.field">stateName</str>-->
      <str name="facet.sort">false</str>
      <int name="facet.mincount">1</int>
    </lst>
  </requestHandler>

Thanks.



Otis Gospodnetic wrote:
> 
> 
> Hello,
> 
> 300K is a pretty small index.  I wouldn't worry about the number of
> synonyms unless you are turning a single term into dozens of ORed terms.
> 
> Otis
> --
> Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch
> 
> 
> 
> ----- Original Message ----
>> From: anuvenk <anuvenkat...@hotmail.com>
>> To: solr-user@lucene.apache.org
>> Sent: Tuesday, June 2, 2009 11:28:43 PM
>> Subject: Re: Is there Downside to a huge synonyms file?
>> 
>> 
>> I'm using query time synonyms. I have more fields in my index though.
>> This is
>> just an example or sample of data from my index. Yes, we don't have
>> millions
>> of documents. Could be around 300,000 and might increase in future. The
>> reason i'm using query time synonyms is because of the nature of my data.
>> I
>> can't re-index the data everytime i add or remove a synonym. But for this
>> particular requirement is it best to have index time synonyms because of
>> the
>> multi-word synonym nature. Again if i add more cities list to the synonym
>> file, I can't be re-indexing all the data over and over again. 
>> 
>> 
>> 
>> anuvenk wrote:
>> > 
>> > In my index i have legal faqs, forms, legal videos etc with a state
>> field
>> > for each resource.
>> > Now if i search for real estate san diego, I want to be able to return
>> > other 'california' results i.e results from san francisco.
>> > I have the following fields in the index
>> > 
>> > title                                                  state          
>> > description...
>> > real estate san diego example 1           california         some
>> > description
>> > real estate carlsbad example 2             california         some desc
>> > 
>> > so when i search for real estate san francisco, since there is no
>> match, i
>> > want to be able to return the other real estate results in california
>> > instead of returning none. Because sometimes they might be searching
>> for a
>> > real estate form and city probably doesn't matter. 
>> > 
>> > I have two things in mind. One is adding a synonym mapping
>> > san diego, california
>> > carlsbad, california
>> > san francisco, california
>> > 
>> > (which probably isn't the best way)
>> > hoping that search for san francisco real estate would map san
>> francisco
>> > to california and hence return the other two california results
>> > 
>> > OR
>> > 
>> > adding the mapping of city to state in the index itself like..
>> > 
>> > title                                         state             city       
>> >    
>>                         
>> > description...
>> > real estate san diego eg 1    california   carlsbad, san francisco, san
>> > diego        some description
>> > real estate carlsbad eg 2      california   carlsbad, san francisco,
>> san
>> > diego        some description
>> > 
>> > which of the above two is better. Does a huge synonym file affect
>> > performance. Or Is there a even better way? I'm sure there is but I
>> can't
>> > put my finger on it yet & I'm not familiar with java either.
>> > 
>> > 
>> 
>> -- 
>> View this message in context: 
>> http://www.nabble.com/Is-there-Downside-to-a-huge-synonyms-file--tp23842527p23844761.html
>> Sent from the Solr - User mailing list archive at Nabble.com.
> 
> 
> 

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