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