Github user vlad17 commented on a diff in the pull request:
https://github.com/apache/spark/pull/11443#discussion_r73192952
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala ---
@@ -745,6 +825,80 @@ class DataFrame private[sql](
}
/**
+ * Returns a new [[Dataset]] by computing the given [[Column]]
expression for each element.
+ *
+ * {{{
+ * val ds = Seq(1, 2, 3).toDS()
+ * val newDS = ds.select(expr("value + 1").as[Int])
+ * }}}
+ * @since 1.6.0
+ */
+ def select[U1: Encoder](c1: TypedColumn[T, U1]): Dataset[U1] = {
--- End diff --
@liancheng Yup, I suppose that's working as expected then. It's a bit
confusing since aggregator has an implicitcastinputtypes mixin.
Perhaps it would be better for c1 to be TypedColumn[_, U1]?
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