Track the maximum partition size in dataset types

[facundominguez]

Spark programs scale as long as the partition sizes of the inputs are bounded. This issue is to explore whether it would be possible to track in the type of datasets which is the maximum partition size of its partitions. This way, the type of an algorithms could ensure that the algorithm doesn't grow the partitions or doesn't grow them beyond some constant factor of the partitions sizes of the input.

Could also be a nice application for liquid haskell.