Github user JasonMWhite commented on the pull request:
https://github.com/apache/spark/pull/12470#issuecomment-211635125
Hmm, I see what you mean.
```
r1 = df.select('a', 'b', df['b'].alias('a')).collect()[0]
r1 # Row(a=1, b=2, a=2)
```
What does that even mean? And what should `r1['a']` return? Throw an
exception for the ambiguity, perhaps? If so, how would the user disambiguate
the columns again?
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