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

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

srowen commented on a change in pull request #34450:
URL: https://github.com/apache/spark/pull/34450#discussion_r739854455



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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:
       This can't be since 3.2.0
   This would have to be in R, Scala APIs too
   But this doesn't seem worth it - it isn't faster to execute




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