Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/14353#discussion_r72186016
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
---
@@ -33,13 +33,24 @@ case class CreateArray(children: Seq[Expression])
extends Expression {
override def foldable: Boolean = children.forall(_.foldable)
- override def checkInputDataTypes(): TypeCheckResult =
- TypeUtils.checkForSameTypeInputExpr(children.map(_.dataType),
"function array")
+ override def checkInputDataTypes(): TypeCheckResult = {
+ if (children.map(_.dataType).forall(_.isInstanceOf[DecimalType])) {
+ TypeCheckResult.TypeCheckSuccess
--- End diff --
In short, those are recognized correctly in the Analyzed Logical Plan. As a
result, the codegen correctly writes it with the unified precision and scale.
```
== Analyzed Logical Plan ==
a[0]: decimal(3,3), a[1]: decimal(3,3)
```
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