You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/11/30 17:49:03 UTC

[GitHub] [spark] zero323 commented on a change in pull request #30243: [SPARK-33335][SQL] Support `array_contains_array` func

zero323 commented on a change in pull request #30243:
URL: https://github.com/apache/spark/pull/30243#discussion_r532784945



##########
File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
##########
@@ -3957,3 +3957,198 @@ case class ArrayExcept(left: Expression, right: Expression) extends ArrayBinaryL
 
   override def prettyName: String = "array_except"
 }
+
+/**
+ * Checks if the array (left) has the array (right)
+ */
+@ExpressionDescription(
+  usage = "_FUNC_(array1, array2) - Returns true if the array1 contains the array2.",

Review comment:
       `hasAll` (or rather `has_all`, to keep things consitent) sounds good :)

##########
File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
##########
@@ -3957,3 +3957,198 @@ case class ArrayExcept(left: Expression, right: Expression) extends ArrayBinaryL
 
   override def prettyName: String = "array_except"
 }
+
+/**
+ * Checks if the array (left) has the array (right)
+ */
+@ExpressionDescription(
+  usage = "_FUNC_(array1, array2) - Returns true if the array1 contains the array2.",

Review comment:
       `hasAll` (or rather `has_all`, to keep things consistent) sounds good :)




----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:
users@infra.apache.org



---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org