ulysses-you commented on pull request #29749:
URL: https://github.com/apache/spark/pull/29749#issuecomment-696092667
`ScalaUDF` has been checked in `ImplicitTypeCasts` just like extends
`ImplicitCastInputTypes`. Here is some code from `ImplicitTypeCasts`.
```
case e: ImplicitCastInputTypes if e.inputTypes.nonEmpty =>
val children: Seq[Expression] = e.children.zip(e.inputTypes).map {
case (in, expected) =>
// If we cannot do the implicit cast, just use the original input.
implicitCast(in, expected).getOrElse(in)
}
e.withNewChildren(children)
case udf: ScalaUDF if udf.inputTypes.nonEmpty =>
val children = udf.children.zip(udf.inputTypes).map { case (in,
expected) =>
// Currently Scala UDF will only expect `AnyDataType` at top
level, so this trick works.
// In the future we should create types like `AbstractArrayType`,
so that Scala UDF can
// accept inputs of array type of arbitrary element type.
if (expected == AnyDataType) {
in
} else {
implicitCast(
in,
udfInputToCastType(in.dataType,
expected.asInstanceOf[DataType])
).getOrElse(in)
}
}
```
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