Why does a join with on (df1.id == df2.id) result in duplicate columns, but on="id" does not?I encountered an interesting behavior while performing a join on two Data frames. Here's the scenario: df1 = spark.createDataFrame([(1, "Alice"), (2, "Bob"),...
