Indeed sounds like https://github.com/elasticsearch/elasticsearch/issues/256

Not easy to do.

On Tuesday, March 25, 2014 2:20:42 AM UTC, Otis Gospodnetic wrote:
>
> Hi David,
>
> I looked around and haven't been able to find any examples of bucket 
> aggregations other than terms one.  I think the way this aggregation is 
> described makes it sound like group by in RDBMS world, but it looks like 
> that's not the case.
>
> Take this pseudo-example:
>
> SELECT category, city, makemodel
> FROM cars
> GROUP BY category TOP 2
>
> In a DB world this could return the following:
>
>
> ========================================================================================
> | category      | city                            | makemodel             
>              |
>
> ========================================================================================
> | compact       | u.s.a./texas/houston            | asian/acura/tl         
>             |
> | compact       | u.s.a./florida/tampa            | asian/acura/1.6el     
>              |
>
> +---------------+---------------------------------+------------------------------------+
> | exotic        | u.s.a./florida/tampa            | european/bentley/azure 
>             |
> | exotic        | u.s.a./california/san francisco | european/bentley/azure 
>             |
>
> ========================================================================================
>
> Note how each row is a full row/document.  I think this is the key part.
>
> Can ES aggregations do this?
> If so, could you please share an example or point me to it?  None of the 
> examples of bucket aggregates I saw showed this.
>
> As far as I can tell, the above cannot be done with ES aggregations 
> because it's essentially like "field collapsing" functionality that's not 
> in ES yet, but maybe I'm missing something...
>
> Thanks,
> Otis
> --
> Performance Monitoring * Log Analytics * Search Analytics
> Solr & Elasticsearch Support * http://sematext.com/
>
>
>
> On Thursday, March 20, 2014 5:36:22 AM UTC-4, David Pilato wrote:
>>
>> Terms aggregation should be what you are looking for.
>>
>> -- 
>> *David Pilato* | *Technical Advocate* | *Elasticsearch.com*
>> @dadoonet <https://twitter.com/dadoonet> | 
>> @elasticsearchfr<https://twitter.com/elasticsearchfr>
>>
>>
>> Le 20 mars 2014 à 10:24:02, Nguyen Manh Tien ([email protected]) a 
>> écrit:
>>
>> Thanks David, 
>>
>> If you check my sample above, i don't want any aggregate info (min, max, 
>> count, ...) for each group, just want to get top N result from each group, 
>> is this possible?
>>  
>>
>> On Thu, Mar 20, 2014 at 1:53 PM, David Pilato <[email protected]> wrote:
>>
>>>  Have a look at aggregations.
>>>
>>> --
>>> David ;-)
>>> Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs
>>>
>>>  
>>> Le 20 mars 2014 à 03:55, Nguyen Manh Tien <[email protected]> a 
>>> écrit :
>>>
>>>   Hello, 
>>>
>>> In SQL i can use GROUP BY to limit number of rows in each group like 
>>> bellow.
>>> Is there any way to do that in ElasticSearch?
>>>
>>> Thanks.
>>>  
>>>    1. 
>>>    
>>>    *Find the first 10 groups of cars, with 2 hits in each group:*
>>>    
>>>    SELECT category, city, makemodel
>>>    FROM cars
>>>    GROUP BY category TOP 2
>>>    
>>>    *Results:*
>>>    
>>>    
>>> ========================================================================================
>>>    | category      | city                            | makemodel            
>>>               |
>>>    
>>> ========================================================================================
>>>    | compact       | u.s.a./texas/houston            | asian/acura/tl       
>>>               |
>>>    | compact       | u.s.a./florida/tampa            | asian/acura/1.6el    
>>>               |
>>>    
>>> +---------------+---------------------------------+------------------------------------+
>>>    | exotic        | u.s.a./florida/tampa            | 
>>> european/bentley/azure             |
>>>    | exotic        | u.s.a./california/san francisco | 
>>> european/bentley/azure             |
>>>    
>>> ========================================================================================
>>>    
>>>    2. 
>>>    
>>>    *Find the numbers of cars in different categories:*
>>>    
>>>    SELECT category, grouphitscount
>>>    FROM cars
>>>    GROUP BY category top 1
>>>    
>>>    *Results:*
>>>    
>>>    +---------------+----------------+
>>>    | category      | grouphitscount |
>>>    +---------------+----------------+
>>>    | compact       | 4169           |
>>>    | exotic        | 1902           |
>>>    
>>>    
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