viirya commented on a change in pull request #32764:
URL: https://github.com/apache/spark/pull/32764#discussion_r645211658
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
##########
@@ -2169,12 +2169,29 @@ class Analyzer(override val catalogManager:
CatalogManager)
unbound, arguments, unsupported)
}
+ if (bound.inputTypes().length != arguments.length) {
+ throw
QueryCompilationErrors.v2FunctionInvalidInputTypeLengthError(
+ bound, arguments)
+ }
+
+ val castedArguments = arguments.zip(bound.inputTypes()).map
{ case (arg, ty) =>
+ if (arg.dataType != ty) {
+ if (Cast.canCast(arg.dataType, ty)) {
+ Cast(arg, ty)
+ } else {
+ throw
QueryCompilationErrors.v2FunctionCastError(bound, arg, ty)
+ }
+ } else {
+ arg
+ }
+ }
Review comment:
Thanks for explaining it. So that is said, `bind` can return a
implementation with magic method, which takes decimal input, when Spark binds
it with IntegerType input?
--
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:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
