Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/13545#discussion_r66156310
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2262,6 +2275,19 @@ class Dataset[T] private[sql](
def distinct(): Dataset[T] = dropDuplicates()
/**
+ * Returns a new [[Dataset]] that contains only the unique rows from
this [[Dataset]], considering
+ * only the subset of columns. This is an alias for
`dropDuplicates(cols)`.
+ *
+ * Note that, equality checking is performed directly on the encoded
representation of the data
+ * and thus is not affected by a custom `equals` function defined on `T`.
+ *
+ * @group typedrel
+ * @since 2.0.0
+ */
+ @scala.annotation.varargs
+ def distinct(cols: String*): Dataset[T] = dropDuplicates(cols)
--- End diff --
In addition, `distinct` of `dplyr` R packages works in the same manner.
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