Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/11336#issuecomment-195123603
Yeah I'm not sure whats the right resolution on this -- On the one hand I
have to say that the Spark DataFrame model where a column doesn't belong to one
(or any) DataFrame is more confusing from a users perspective.
However the risk of adding wrappers which don't follow the underlying data
model is that it might lead to inconsistencies where some parts of the API
don't work like others.
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