notfilippo commented on code in PR #11978:
URL: https://github.com/apache/datafusion/pull/11978#discussion_r1717282407


##########
datafusion/physical-plan/src/projection.rs:
##########
@@ -306,9 +306,10 @@ impl ProjectionStream {
         let arrays = self
             .expr
             .iter()
-            .map(|expr| {
+            .zip(&self.schema.fields)
+            .map(|(expr, field)| {
                 expr.evaluate(batch)
-                    .and_then(|v| v.into_array(batch.num_rows()))
+                    .and_then(|v| v.into_array_of_type(batch.num_rows(), 
field.data_type()))

Review Comment:
   Not sure if casting here is a correct approach.



##########
datafusion/optimizer/src/simplify_expressions/expr_simplifier.rs:
##########
@@ -627,15 +629,34 @@ impl<'a> ConstEvaluator<'a> {
             return ConstSimplifyResult::NotSimplified(s);
         }
 
+        let start_type = match expr.get_type(&self.input_schema) {
+            Ok(t) => t,
+            Err(err) => return ConstSimplifyResult::SimplifyRuntimeError(err, 
expr),
+        };
+
         let phys_expr =
             match create_physical_expr(&expr, &self.input_schema, 
self.execution_props) {
                 Ok(e) => e,
                 Err(err) => return 
ConstSimplifyResult::SimplifyRuntimeError(err, expr),
             };
+
         let col_val = match phys_expr.evaluate(&self.input_batch) {
             Ok(v) => v,
             Err(err) => return ConstSimplifyResult::SimplifyRuntimeError(err, 
expr),
         };
+
+        // TODO(@notfilippo): a fix for the select_arrow_cast error

Review Comment:
   This check partially fixes the issue with `select_arrow_cast`.



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