jayzhan211 commented on code in PR #10148:
URL: https://github.com/apache/datafusion/pull/10148#discussion_r1581838538


##########
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:
   In Duckdb, map keys can be **different value** for each row, but the types 
should not be different.
   In OLAP which has the columnar format (we use arrow), it does not make sense 
to have different types on different rows.



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