You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by "LuciferYang (via GitHub)" <gi...@apache.org> on 2023/03/27 14:43:00 UTC

[GitHub] [spark] LuciferYang commented on a diff in pull request #40563: [SPARK-41232][SPARK-41233][FOLLOWUP] Refactor `array_append` and `array_prepend` with `RuntimeReplaceable`

LuciferYang commented on code in PR #40563:
URL: https://github.com/apache/spark/pull/40563#discussion_r1149348790


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala:
##########
@@ -1400,120 +1400,27 @@ case class ArrayContains(left: Expression, right: Expression)
     copy(left = newLeft, right = newRight)
 }
 
-// scalastyle:off line.size.limit
-@ExpressionDescription(
-  usage = """
-      _FUNC_(array, element) - Add the element at the beginning of the array passed as first
-      argument. Type of element should be the same as the type of the elements of the array.
-      Null element is also prepended to the array. But if the array passed is NULL
-      output is NULL
-    """,
-  examples = """
-    Examples:
-      > SELECT _FUNC_(array('b', 'd', 'c', 'a'), 'd');
-       ["d","b","d","c","a"]
-      > SELECT _FUNC_(array(1, 2, 3, null), null);
-       [null,1,2,3,null]
-      > SELECT _FUNC_(CAST(null as Array<Int>), 2);
-       NULL
-  """,
-  group = "array_funcs",
-  since = "3.5.0")
-case class ArrayPrepend(left: Expression, right: Expression)
-  extends BinaryExpression
-    with ImplicitCastInputTypes
-    with ComplexTypeMergingExpression
-    with QueryErrorsBase {
+trait ArrayInsertEnd extends RuntimeReplaceable

Review Comment:
   should we rename this trait? `ArrayInsertEnd` cannot describe `ArrayPrepend` well
   
   



-- 
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.

To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org

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