equivalence classes: use normalized mapping for projection

Author: askalt

datafusion/physical-expr/src/equivalence/class.rs

@@ -535,6 +535,19 @@ impl EquivalenceGroup {
         .collapse()
     }
 
+    /// Makes a new [`ProjectionMapping`] where each source expression is normalized.
+    pub fn normalize_mapping(&self, mapping: &ProjectionMapping) -> ProjectionMapping {
+        ProjectionMapping {
+            map: mapping
+                .map
+                .iter()
+                .map(|(src, dst)| {
+                    (self.normalize_expr(Arc::clone(src)), Arc::clone(dst))
+                })
+                .collect(),
+        }
+    }
+
     /// Projects `expr` according to the given projection mapping.
     /// If the resulting expression is invalid after projection, returns `None`.
     pub fn project_expr(
@@ -584,6 +597,13 @@ impl EquivalenceGroup {
                 .collect::<Vec<_>>();
             (new_class.len() > 1).then_some(EquivalenceClass::new(new_class))
         });
+
+        // We need to find equivalent projected expressions.
+        // e.g. table with columns [a,b,c] and a == b, projection: [a+c, b+c].
+        // To conclude that a + c == b + c we firsty normalize all source expressions
+        // in the mapping, then merge all equivalent expressions into the classes.
+        let mapping = self.normalize_mapping(mapping);
+
         // the key is the source expression and the value is the EquivalenceClass that contains the target expression of the source expression.
         let mut new_classes: IndexMap<Arc<dyn PhysicalExpr>, EquivalenceClass> =
             IndexMap::new();

datafusion/physical-expr/src/equivalence/properties.rs

@@ -920,16 +920,7 @@ impl EquivalenceProperties {
     fn normalized_mapping(&self, mapping: &ProjectionMapping) -> ProjectionMapping {
         // Construct the mapping where source expressions are normalized. In this way
         // In the algorithms below we can work on exact equalities
-        ProjectionMapping {
-            map: mapping
-                .iter()
-                .map(|(source, target)| {
-                    let normalized_source =
-                        self.eq_group.normalize_expr(Arc::clone(source));
-                    (normalized_source, Arc::clone(target))
-                })
-                .collect(),
-        }
+        self.eq_group.normalize_mapping(mapping)
     }
 
     /// Computes projected orderings based on a given projection mapping.

datafusion/physical-plan/src/projection.rs

@@ -1000,13 +1000,19 @@ mod tests {
     use super::*;
     use std::sync::Arc;
 
-    use crate::common::collect;
+    use crate::execution_plan::Boundedness;
     use crate::test;
+    use crate::{common::collect, execution_plan::EmissionType};
+    use datafusion_expr::Operator;
+    use datafusion_physical_expr::{
+        expressions::{binary, col},
+        Partitioning,
+    };
 
     use arrow_schema::DataType;
     use datafusion_common::ScalarValue;
+    use datafusion_physical_expr::EquivalenceProperties;
 
-    use datafusion_expr::Operator;
     use datafusion_physical_expr::expressions::{BinaryExpr, Column, Literal};
 
     #[test]
@@ -1197,4 +1203,117 @@ mod tests {
 
         assert_eq!(result, expected);
     }
+
+    #[derive(Debug)]
+    struct PropertiesExec {
+        properties: PlanProperties,
+        schema: SchemaRef,
+    }
+
+    impl DisplayAs for PropertiesExec {
+        fn fmt_as(
+            &self,
+            _t: DisplayFormatType,
+            f: &mut std::fmt::Formatter,
+        ) -> std::fmt::Result {
+            write!(
+                f,
+                "PropertiesExec, schema={}, properties={:?}",
+                self.schema, self.properties
+            )
+        }
+    }
+
+    impl ExecutionPlan for PropertiesExec {
+        fn name(&self) -> &str {
+            "PropertiesExec"
+        }
+
+        fn as_any(&self) -> &dyn Any {
+            self
+        }
+
+        fn properties(&self) -> &PlanProperties {
+            &self.properties
+        }
+
+        fn children(&self) -> Vec<&Arc<dyn ExecutionPlan>> {
+            vec![]
+        }
+
+        fn with_new_children(
+            self: Arc<Self>,
+            _children: Vec<Arc<dyn ExecutionPlan>>,
+        ) -> Result<Arc<dyn ExecutionPlan>> {
+            Ok(self)
+        }
+
+        fn execute(
+            &self,
+            _partition: usize,
+            _context: Arc<TaskContext>,
+        ) -> Result<SendableRecordBatchStream> {
+            unimplemented!("not supposed to be executed")
+        }
+    }
+
+    #[tokio::test]
+    async fn test_stat_projection_equivalent_classes() -> Result<()> {
+        // - columns: [a, b, c].
+        // - "a" and "b" in the same equivalence class.
+        // - then after a+c, b+c projection col(0) and col(1) must be
+        // in the same class too.
+        let schema = Arc::new(Schema::new(vec![
+            Field::new("a", DataType::Int32, false),
+            Field::new("b", DataType::Int32, false),
+            Field::new("c", DataType::Int32, false),
+        ]));
+        let mut eq_properties = EquivalenceProperties::new(Arc::clone(&schema));
+        eq_properties.add_equal_conditions(&col("a", &schema)?, &col("b", &schema)?)?;
+
+        let properties = PlanProperties::new(
+            eq_properties,
+            Partitioning::UnknownPartitioning(1),
+            EmissionType::Both,
+            Boundedness::Bounded,
+        );
+
+        let projection = ProjectionExec::try_new(
+            vec![
+                (
+                    binary(
+                        col("a", &schema)?,
+                        Operator::Plus,
+                        col("c", &schema)?,
+                        &schema,
+                    )?,
+                    "a+c".to_owned(),
+                ),
+                (
+                    binary(
+                        col("b", &schema)?,
+                        Operator::Plus,
+                        col("c", &schema)?,
+                        &schema,
+                    )?,
+                    "b+c".to_owned(),
+                ),
+            ],
+            Arc::new(PropertiesExec {
+                properties,
+                schema: Arc::clone(&schema),
+            }),
+        )?;
+
+        let actual_properties = projection.properties();
+        let eq_group = actual_properties.eq_properties.eq_group();
+
+        assert!(!eq_group.is_empty());
+        let first_normalized = eq_group.normalize_expr(col("a+c", &projection.schema)?);
+        let second_normalized = eq_group.normalize_expr(col("b+c", &projection.schema)?);
+
+        assert!(first_normalized.eq(&second_normalized));
+
+        Ok(())
+    }
 }