Performance / memory impact by size of term aggregation?


Hi all,

I am using kibana, but I think this questions goes down to how elasticsearch is handling this problem.

If I am using a term aggregation on a field (e.g. company), I have to limit the term size.

Lets say in our example data, we have only 7 companies. Lets say I would like to have the calculation / aggregation on all unique entries for the field company.
Is there a performance or especially a memory overhead if I I oversize the term size?
Meaning, does it make any difference if I set it to 10 or 1000?
Or is only the result set affecting the performance / memory usage?

I just want to understand the effect of my doing a bit deeper :wink:

Thanks, Andreas

(system) #2

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