Github user kaka1992 commented on a diff in the pull request:
https://github.com/apache/spark/pull/5870#discussion_r29569400
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala ---
@@ -888,6 +888,21 @@ class DataFrame private[sql](
}
/**
+ * Returns a new [[DataFrame]] without duplicates.
+ * @group dfops
+ */
+ def dropDuplicates(): DataFrame = dropDuplicates(this.columns)
+
+ /**
+ * Returns a new [[DataFrame]] without duplicates under the given
columns.
+ * @group dfops
+ */
+ def dropDuplicates(subset: Seq[String]): DataFrame = {
--- End diff --
@viirya No, dropDuplicates is used to remove duplicate rows that are the
same in some columns or in all columns (default) . The default version is as
same as distinct.
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