I still want to know some basic theory about that efficient manner. 
Thank you very much!

在 2014年8月7日星期四UTC+8下午12时00分31秒,Tong Liu写道:
>
> (I move the topic from github issue to here)
>
> I want to know the theory of ES aggregation.
> Maybe, it is one of them:
> (1) like a Database. compute when the aggregation query comes.
> (2) like Storm. When a data comes, it aggregate once. You don't need 
> aggregate when query comes. The aggregation query use a prepared result. So 
> it is very quick when query. Storm is like a real-time Hadoop.
>
> So ES is like (1)a common Database? or (2)Storm?
> Thank you!
>
>
> (
>
> This is imotov answer:
>
> In short the answer to your question is aggregations are computed when an 
> aggregation query comes, but because of data structures that elasticsearch 
> is using, they can computed in very efficient manner.
>
> )
>

On Thursday, August 7, 2014 12:00:31 PM UTC+8, Tong Liu wrote:
>
> (I move the topic from github issue to here)
>
> I want to know the theory of ES aggregation.
> Maybe, it is one of them:
> (1) like a Database. compute when the aggregation query comes.
> (2) like Storm. When a data comes, it aggregate once. You don't need 
> aggregate when query comes. The aggregation query use a prepared result. So 
> it is very quick when query. Storm is like a real-time Hadoop.
>
> So ES is like (1)a common Database? or (2)Storm?
> Thank you!
>
>
> (
>
> This is imotov answer:
>
> In short the answer to your question is aggregations are computed when an 
> aggregation query comes, but because of data structures that elasticsearch 
> is using, they can computed in very efficient manner.
>
> )
>

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