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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