Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/5714#issuecomment-101193929
@rxin @marmbrus It seems that to make DataFrame conform to current RDD
cache semantics (mutable storage level), using a mutable `queryExecution` is
the only solution. However, leaving DataFrame storage level mutable seems
neither useful nor elegant. Personally, I'd prefer to leave DataFrame storage
level immutable, and make `DataFrame.cache()`/`DataFrame.persist()` return a
new DataFrame instance. What do you think?
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