You need first to understand that a search engine is not a SQL like system.
It’s based on a inverted index so what you query is not your source data but 
the index you have created.

The way you build your index is extremely important then.
You could imagine using wildcard queries but first it would inefficient and it 
would require that instead of indexing tokens you index full sentences.

I suggest that you first read this chapter (go through all sections): 
http://www.elastic.co/guide/en/elasticsearch/guide/current/mapping-analysis.html
 
<http://www.elastic.co/guide/en/elasticsearch/guide/current/mapping-analysis.html>
 

Answering to your question, using ngrams would probably help here.

Hope this helps

-- 
David Pilato - Developer | Evangelist 
elastic.co
@dadoonet <https://twitter.com/dadoonet> | @elasticsearchfr 
<https://twitter.com/elasticsearchfr> | @scrutmydocs 
<https://twitter.com/scrutmydocs>





> Le 30 avr. 2015 à 14:10, pavanbnv <pavan....@gmail.com> a écrit :
> 
> Hi All,
> 
> Is there any way to find documents by querying fields for matching terms
> similar to database LIKE
> I have gone thru some of the queries which are dated 2012, 2011. None of
> them has straightforward answer. Not sure of we have the feature in current
> version 1.4.5
> 
> I want some thing like ...
> 
> Actual data : Field1 : Something similar to this
> 
> My queries : "omething simi" 
> ,"ilar to thi" should be able to retrieve the document.
> 
> Can anyone let me know how to achieve this??
> 
> 
> 
> --
> View this message in context: 
> http://elasticsearch-users.115913.n3.nabble.com/LIKE-Query-tp4074378.html
> Sent from the Elasticsearch Users mailing list archive at Nabble.com.
> 
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