Github user inouehrs commented on the issue:
https://github.com/apache/spark/pull/13459
I found another bug that significantly affects the performance comparisons.
In _back-to-back map_ and _back-to-back filter_, map or filter operation is
executed only once regardless of `numChains` for RDD. Hence the execution times
for RDD have been largely underestimated.
Regarding the `toRdd` issue pointed out by @rxin, `toRdd` returns RDD of
`InternalRow` (not RDD of `Data`) and hence I think it does not cause
significant overhead of a conversion.
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