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
----
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