On Mar 22, 2010, at 12:09 PM, stocki wrote:

> 
> thx.
> 
> it try to patch solr with 1316 but it not works =( 
> 
> do i need to checkout from svn Nightly ? 
> http://svn.apache.org/repos/asf/lucene/solr/ 

Yes, you will need to work from trunk.

> 
> when i create a patch and then create the WAR it has only 40 MB ...
> 
> 
> 
> 
> Grant Ingersoll-6 wrote:
>> 
>> See https://issues.apache.org/jira/browse/SOLR-1316
>> 
>> 
>> On Mar 21, 2010, at 2:34 PM, stocki wrote:
>> 
>>> 
>>> hello.
>>> 
>>> i play with solr but i didn`t find the perfect solution for me.
>>> 
>>> my goal is a search like the amazonsearch from the iPhoneApp. ;)
>>> 
>>> it is possible to use the TermsComponent like the SpellComponent ? So,
>>> that
>>> works termsComp with more than one single Term ?!  
>>> 
>>> i got these 3 docs with the name in my index:
>>> - nikon one
>>> - nikon two
>>> - nikon three
>>> 
>>> so when ich search for "nik" termsCom suggest me  "nikon". thats
>>> correctly
>>> whar i want.
>>> but when i type "nikon on" i want that solr suggest me "nikon one" , ....
>>> 
>>> how is that realizable ??? pleeease help me somebody ;) 
>>> 
>>> a merge of TC nad SC where best solution in think so.
>>> 
>>> <field name="name" type="textgen" indexed="true" stored="true"
>>> required="true" /> 
>>> this is my searchfield. did i use the correct type ? 
>>> 
>>> 
>>> -- 
>>> View this message in context:
>>> http://old.nabble.com/use-termscomponent-like-spellComponent--%21-tp27977008p27977008.html
>>> Sent from the Solr - User mailing list archive at Nabble.com.
>>> 
>> 
>> --------------------------
>> Grant Ingersoll
>> http://www.lucidimagination.com/
>> 
>> Search the Lucene ecosystem using Solr/Lucene:
>> http://www.lucidimagination.com/search
>> 
>> 
>> 
> 
> -- 
> View this message in context: 
> http://old.nabble.com/use-termscomponent-like-spellComponent--%21-tp27977008p27988620.html
> Sent from the Solr - User mailing list archive at Nabble.com.
> 

--------------------------
Grant Ingersoll
http://www.lucidimagination.com/

Search the Lucene ecosystem using Solr/Lucene: 
http://www.lucidimagination.com/search

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