srielau commented on code in PR #38867:
URL: https://github.com/apache/spark/pull/38867#discussion_r1090906741
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala:
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@@ -4601,6 +4601,247 @@ case class ArrayExcept(left: Expression, right:
Expression) extends ArrayBinaryL
newLeft: Expression, newRight: Expression): ArrayExcept = copy(left =
newLeft, right = newRight)
}
+@ExpressionDescription(
+ usage = "_FUNC_(x, pos, val) - Places val into index pos of array x (array
indices start at 0)",
Review Comment:
ANSI SQL is 1-based. Note that one based indexing is critical to exploit
relative indexing counting from the end.
That's used frequently in SparkSQL for STRINGs and getting more common fro
ARRAYs.
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