Github user sachingoel0101 commented on the pull request:
https://github.com/apache/flink/pull/861#issuecomment-137380847
Yes. For Discrete fields, quantiles do not make sense. In the paper, they
only cover the continuous fields, since the Discrete fields are more or less
trivial to handle. [Unless there are too many categories].
However, if we separate out the two histogram types, there is no need to
implement a base class. The only shared functionality is the basic infra and
fields. But the effective use of both is different as you pointed out. Or
should I do that? I really can't settle on this.
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