Github user cloud-fan commented on the issue:
    My thoughts:
    1. `Dataset.dropDuplicates()` should drop duplicates for all columns, the 
current implementation is wrong, this PR fixed it.
    2. `Dataset.dropDuplicates(col: String)` should drop the first column 
matching the given name, or all matched columns? `Dataset.drop(col: String)` 
also drops all matched columns, the new behaviour seems reasonable. But we 
should be very careful, as this is a breaking change. cc @rxin

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