jayzhan211 commented on code in PR #11564:
URL: https://github.com/apache/datafusion/pull/11564#discussion_r1687256081


##########
datafusion/physical-expr-common/src/aggregate/mod.rs:
##########
@@ -81,6 +86,61 @@ pub fn create_aggregate_expr(
         .map(|e| e.expr.data_type(schema))
         .collect::<Result<Vec<_>>>()?;
 
+    let ordering_fields = ordering_fields(ordering_req, &ordering_types);
+    let name = name.into();
+
+    Ok(Arc::new(AggregateFunctionExpr {
+        fun: fun.clone(),
+        args: input_phy_exprs.to_vec(),
+        logical_args: input_exprs.to_vec(),
+        data_type: fun.return_type(&input_exprs_types)?,
+        name,
+        schema: schema.clone(),
+        dfschema: DFSchema::empty(),
+        sort_exprs: sort_exprs.to_vec(),
+        ordering_req: ordering_req.to_vec(),
+        ignore_nulls,
+        ordering_fields,
+        is_distinct,
+        input_type: input_exprs_types[0].clone(),
+        is_reversed,
+    }))
+}
+
+#[allow(clippy::too_many_arguments)]
+// This is not for external usage, consider creating with 
`create_aggregate_expr` instead.
+pub fn create_aggregate_expr_with_dfschema(

Review Comment:
   Great! I already file the ticket in #11543. 
   



##########
datafusion/physical-expr-common/src/aggregate/mod.rs:
##########
@@ -81,6 +86,61 @@ pub fn create_aggregate_expr(
         .map(|e| e.expr.data_type(schema))
         .collect::<Result<Vec<_>>>()?;
 
+    let ordering_fields = ordering_fields(ordering_req, &ordering_types);
+    let name = name.into();
+
+    Ok(Arc::new(AggregateFunctionExpr {
+        fun: fun.clone(),
+        args: input_phy_exprs.to_vec(),
+        logical_args: input_exprs.to_vec(),
+        data_type: fun.return_type(&input_exprs_types)?,
+        name,
+        schema: schema.clone(),
+        dfschema: DFSchema::empty(),
+        sort_exprs: sort_exprs.to_vec(),
+        ordering_req: ordering_req.to_vec(),
+        ignore_nulls,
+        ordering_fields,
+        is_distinct,
+        input_type: input_exprs_types[0].clone(),
+        is_reversed,
+    }))
+}
+
+#[allow(clippy::too_many_arguments)]
+// This is not for external usage, consider creating with 
`create_aggregate_expr` instead.
+pub fn create_aggregate_expr_with_dfschema(

Review Comment:
   Great! I already filed the ticket in #11543. 
   



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