I answer myself to my question: slop is the max number of "permutation" we 
have to do in the results to get a match. 
(See 
http://www.elasticsearch.org/guide/en/elasticsearch/guide/current/slop.html)

Le lundi 28 juillet 2014 14:41:39 UTC+2, Loïc Wenkin a écrit :
>
> Hi Alexander,
>
> Thanks a lot for your reply! Can you explain a little bit what is this 
> "slop" parameter?
>
> Loïc
>
> Le lundi 28 juillet 2014 14:14:56 UTC+2, Alexander Reelsen a écrit :
>>
>> Hey,
>>
>> you might want to use the phrase match query and check out its slop 
>> parameter for your second requirement. See 
>> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-match-query.html#_phrase
>>
>>
>> --Alex
>>
>>
>> On Wed, Jul 16, 2014 at 10:49 AM, Loïc Wenkin <[email protected]> wrote:
>>
>>> Hello everybody,
>>>
>>> I am working on a multilingual project and I need some tips about 
>>> mapping (or queries). I have two needs :
>>> - I would like to benefit of the full text power and specific language 
>>> analyzers power on a field of my documents. I need that for some of my 
>>> searches. Users can do some search like (Hello toto) that will return 
>>> documents containing (Hello, my name is toto) (1).
>>> - On the other hand, users have also the ability to do some search like 
>>> ("Hello toto") that won't return documents containing ("Hello, my name is 
>>> toto"), but they will only return documents containing ("Hello toto") (a 
>>> little bit as Google do when we use quotes) (2).
>>>
>>> Currently, in my mapping, I have something like that:
>>>
>>> {
>>>      "myfieldinfrench": {
>>>            ...
>>>            "analyzer": "french"
>>>       }
>>> }
>>>
>>> This allow me to easily meet my first need, but not my second one.
>>>
>>> I was thinking to index twice the field (using multi field types) but is 
>>> it a good idea? Won't it increase my index size?
>>>
>>> Is there another way than using multi fields to meet my needs?
>>>
>>> Thanks a lot for your replies.
>>>
>>> Regards,
>>> Loïc Wenkin
>>>
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>>

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