Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/11336#issuecomment-193561063
A column can be applied to different dataframes.
For example, if both df1 and df2 have a column named "col",then
col <- column("col")
collect(select(df1, col))
collect(select(df2, col))
both works.
Take the join case above as example,
You have can different DataFrames resulting from different joins on both
df1 and df2,
and apply c3 to the different resulting DataFrames also work.
So how do you know which dataFrame to associate with a column in such cases?
@rxin, any comments on this issue?
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