Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/8811#issuecomment-149918250
I think the main problem is: we interpret column name with special handling
of `.` for DataFrame. This enables us to write something like `df("a.b")` to
get the field `b` of `a`. However, we don't need this feature in
`DataFrame.apply("*")` or `DataFrame.withColumnRenamed`. In these 2 cases, the
column name is the final name already, we don't need extra process to interpret
it.
How about adding a new version of `DataFrame.resolve` which use the column
name directly without interpreting it? And use new version of
`DataFrame.resolve` in `DataFrame.apply("*")` and `DataFrame.withColumnRenamed`.
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