berkaysynnada commented on code in PR #14699:
URL: https://github.com/apache/datafusion/pull/14699#discussion_r1963783917


##########
datafusion/physical-expr-common/src/physical_expr.rs:
##########
@@ -144,6 +153,111 @@ pub trait PhysicalExpr: Send + Sync + Display + Debug + 
DynEq + DynHash {
         Ok(Some(vec![]))
     }
 
+    /// Computes the output statistics for the expression, given the input
+    /// statistics.
+    ///
+    /// # Parameters
+    ///
+    /// * `children` are the statistics for the children (inputs) of this
+    ///   expression.
+    ///
+    /// # Returns
+    ///
+    /// A `Result` containing the output statistics for the expression in
+    /// case of success, or an error object in case of failure.
+    ///
+    /// Expressions (should) implement this function and utilize the 
independence
+    /// assumption, match on children distribution types and compute the output
+    /// statistics accordingly. The default implementation simply creates an
+    /// unknown output distribution by combining input ranges. This logic loses
+    /// distribution information, but is a safe default.
+    fn evaluate_statistics(&self, children: &[&StatisticsV2]) -> 
Result<StatisticsV2> {
+        let children_ranges = children
+            .iter()
+            .map(|c| c.range())
+            .collect::<Result<Vec<_>>>()?;
+        let children_ranges_refs = children_ranges.iter().collect::<Vec<_>>();
+        let output_interval = 
self.evaluate_bounds(children_ranges_refs.as_slice())?;
+        let dt = output_interval.data_type();
+        if dt.eq(&DataType::Boolean) {
+            let p = if output_interval.eq(&Interval::CERTAINLY_TRUE) {
+                ScalarValue::new_one(&dt)
+            } else if output_interval.eq(&Interval::CERTAINLY_FALSE) {
+                ScalarValue::new_zero(&dt)
+            } else {
+                ScalarValue::try_from(&dt)
+            }?;
+            StatisticsV2::new_bernoulli(p)
+        } else {
+            StatisticsV2::new_from_interval(output_interval)
+        }
+    }
+
+    /// Updates children statistics using the given parent statistic for this
+    /// expression.
+    ///
+    /// This is used to propagate statistics down through an expression tree.
+    ///
+    /// # Parameters
+    ///
+    /// * `parent` is the currently known statistics for this expression.
+    /// * `children` are the current statistics for the children of this 
expression.
+    ///
+    /// # Returns
+    ///
+    /// A `Result` containing a `Vec` of new statistics for the children (in 
order)
+    /// in case of success, or an error object in case of failure.
+    ///
+    /// If statistics propagation reveals an infeasibility for any child, 
returns

Review Comment:
   even if we don't have a new enum, rather than returning empty vec, we should 
sacrifice the clone's, and should return the existing children, at least (cheap 
and rare clones)



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