Github user inouehrs commented on the issue:
https://github.com/apache/spark/pull/16391
I agree that it is quite nice to have multiple record types in the
benchmark to reveal the source of overheads!
I also observed the relative performances of RDD, DataFrame, Dataset become
quite different when only a primitive is used as the record type as discussed
in an old PR
(https://github.com/apache/spark/pull/13459/commits/f1e49f35e03c1d69662273b91b67b734d95b117b).
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