Hi, I've read the note about both columns included when DataFrames are joined, but don't think it differentiated between versions of join. Is this a feature or a bug that the following session shows one _1 column with Seq("_1") and two columns for ===?
{code} scala> left.join(right, Seq("_1")).show +---+---+---+ | _1| _2| _2| +---+---+---+ | 1| a| a| | 2| b| b| +---+---+---+ scala> left.join(right, left("_1") === right("_1")).show +---+---+---+---+ | _1| _2| _1| _2| +---+---+---+---+ | 1| a| 1| a| | 2| b| 2| b| +---+---+---+---+ {code} Pozdrawiam, Jacek Laskowski ---- https://medium.com/@jaceklaskowski/ Mastering Apache Spark http://bit.ly/mastering-apache-spark Follow me at https://twitter.com/jaceklaskowski --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org