(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?
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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