Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/14527
This is consistent with `drop`, if we wanna fix it, we should also fix
`drop`.
But one thing is, `drop` has a version that can take `Column`, so we can
work around this case by `df.drop($"tbl.col")`. `dropDuplicate` only take
strings.
cc @rxin , any ideas?
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