[GitHub] [spark] dhirennavani commented on a change in pull request #34450: [SPARK-37171][SQL]Add forany and forall to Datasets/Dataframes

[GitBox <gi...@apache.org>]

dhirennavani commented on a change in pull request #34450:
URL: https://github.com/apache/spark/pull/34450#discussion_r739855090



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File path: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
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@@ -1638,6 +1638,58 @@ class Dataset[T] private[sql](
       c5: TypedColumn[T, U5]): Dataset[(U1, U2, U3, U4, U5)] =
     selectUntyped(c1, c2, c3, c4, c5).asInstanceOf[Dataset[(U1, U2, U3, U4, U5)]]
 
+  /**
+   * Checks if the condition is true for any of the rows.
+   * {{{
+   *   peopleDs.forany($"age" > 15)
+   * }}}
+   *
+   * @group typedrel
+   * @since 3.2.0

Review comment:
       That’s true. So do you recommend we drop this as it would be too much to implement in R and Python?
   
   I believe the code is for Scala API. 
   Just FYI, isEmpty method is absent in Python API although present in Scala API. 
   
   Let me know if we still wanna go forward, I can change the version then. If you let me know the right version. 




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