duongcongtoai commented on code in PR #10148:
URL: https://github.com/apache/datafusion/pull/10148#discussion_r1581818121
##########
datafusion/physical-expr/src/scalar_function.rs:
##########
@@ -146,11 +146,22 @@ impl PhysicalExpr for ScalarFunctionExpr {
// evaluate the function
match self.fun {
ScalarFunctionDefinition::UDF(ref fun) => {
- if self.args.is_empty() {
- fun.invoke_no_args(batch.num_rows())
- } else {
- fun.invoke(&inputs)
+ let output = match self.args.is_empty() {
+ true => fun.invoke_no_args(batch.num_rows()),
+ false => fun.invoke(&inputs),
+ }?;
+
+ if fun.validate_number_of_rows() {
+ let output_size = match &output {
+ ColumnarValue::Array(array) => array.len(),
+ ColumnarValue::Scalar(_) => 1,
Review Comment:
oh then perhaps the current implementation of arrow_typeof can be wrong, if
we have a map like this:
```
{id:1,name:"bob"}
{id:"string_id",name:"alice"}
```
then arrow_typeof(map.id) will returns
```
int64
int64
```
Is it possible to have this kind of input, because a map's schema can be
dynamic per row
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