Fix stack overflow calculating projected orderings

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

@@ -1295,21 +1295,30 @@ fn construct_prefix_orderings(
     relevant_sort_expr: &PhysicalSortExpr,
     dependency_map: &DependencyMap,
 ) -> Vec<LexOrdering> {
+    let mut dep_enumerator = DependencyEnumerator::new();
     dependency_map[relevant_sort_expr]
         .dependencies
         .iter()
-        .flat_map(|dep| construct_orderings(dep, dependency_map))
+        .flat_map(|dep| dep_enumerator.construct_orderings(dep, dependency_map))
         .collect()
 }
 
-/// Given a set of relevant dependencies (`relevant_deps`) and a map of dependencies
-/// (`dependency_map`), this function generates all possible prefix orderings
-/// based on the given dependencies.
+/// Generates all possible orderings where dependencies are satisfied for the
+/// current projection expression.
+///
+/// # Examaple
+///  If `dependences` is `a + b ASC` and the dependency map holds dependencies
+///  * `a ASC` --> `[c ASC]`
+///  * `b ASC` --> `[d DESC]`,
+///
+/// This function generates these two sort orders
+/// * `[c ASC, d DESC, a + b ASC]`
+/// * `[d DESC, c ASC, a + b ASC]`
 ///
 /// # Parameters
 ///
-/// * `dependencies` - A reference to the dependencies.
-/// * `dependency_map` - A reference to the map of dependencies for expressions.
+/// * `dependencies` - Set of relevant expressions.
+/// * `dependency_map` - Map of dependencies for expressions that may appear in `dependencies`
 ///
 /// # Returns
 ///
@@ -1335,11 +1344,6 @@ fn generate_dependency_orderings(
         return vec![vec![]];
     }
 
-    // Generate all possible orderings where dependencies are satisfied for the
-    // current projection expression. For example, if expression is `a + b ASC`,
-    // and the dependency for `a ASC` is `[c ASC]`, the dependency for `b ASC`
-    // is `[d DESC]`, then we generate `[c ASC, d DESC, a + b ASC]` and
-    // `[d DESC, c ASC, a + b ASC]`.
     relevant_prefixes
         .into_iter()
         .multi_cartesian_product()
@@ -1421,7 +1425,7 @@ struct DependencyNode {
 }
 
 impl DependencyNode {
-    // Insert dependency to the state (if exists).
+    /// Insert dependency to the state (if exists).
     fn insert_dependency(&mut self, dependency: Option<&PhysicalSortExpr>) {
         if let Some(dep) = dependency {
             self.dependencies.insert(dep.clone());
@@ -1437,38 +1441,69 @@ impl DependencyNode {
 type DependencyMap = IndexMap<PhysicalSortExpr, DependencyNode>;
 type Dependencies = IndexSet<PhysicalSortExpr>;
 
-/// This function recursively analyzes the dependencies of the given sort
-/// expression within the given dependency map to construct lexicographical
-/// orderings that include the sort expression and its dependencies.
-///
-/// # Parameters
-///
-/// - `referred_sort_expr`: A reference to the sort expression (`PhysicalSortExpr`)
-///   for which lexicographical orderings satisfying its dependencies are to be
-///   constructed.
-/// - `dependency_map`: A reference to the `DependencyMap` that contains
-///   dependencies for different `PhysicalSortExpr`s.
-///
-/// # Returns
-///
-/// A vector of lexicographical orderings (`Vec<LexOrdering>`) based on the given
-/// sort expression and its dependencies.
-fn construct_orderings(
-    referred_sort_expr: &PhysicalSortExpr,
-    dependency_map: &DependencyMap,
-) -> Vec<LexOrdering> {
-    // We are sure that `referred_sort_expr` is inside `dependency_map`.
-    let node = &dependency_map[referred_sort_expr];
-    // Since we work on intermediate nodes, we are sure `val.target_sort_expr`
-    // exists.
-    let target_sort_expr = node.target_sort_expr.clone().unwrap();
-    if node.dependencies.is_empty() {
-        vec![vec![target_sort_expr]]
-    } else {
+/// Contains a mapping of all dependencies we have processed for each sort expr
+struct DependencyEnumerator<'a> {
+    /// expr --> [exprs]
+    seen: IndexMap<&'a PhysicalSortExpr, IndexSet<&'a PhysicalSortExpr>>,
+}
+
+impl<'a> DependencyEnumerator<'a> {
+    fn new() -> Self {
+        Self {
+            seen: IndexMap::new(),
+        }
+    }
+
+    /// Insert a new dependency,
+    ///
+    /// returns false if the dependency was already in the map
+    /// returns true if the dependency was newly inserted
+    fn insert(
+        &mut self,
+        target: &'a PhysicalSortExpr,
+        dep: &'a PhysicalSortExpr,
+    ) -> bool {
+        self.seen.entry(target).or_default().insert(dep)
+    }
+
+    /// This function recursively analyzes the dependencies of the given sort
+    /// expression within the given dependency map to construct lexicographical
+    /// orderings that include the sort expression and its dependencies.
+    ///
+    /// # Parameters
+    ///
+    /// - `referred_sort_expr`: A reference to the sort expression (`PhysicalSortExpr`)
+    ///   for which lexicographical orderings satisfying its dependencies are to be
+    ///   constructed.
+    /// - `dependency_map`: A reference to the `DependencyMap` that contains
+    ///   dependencies for different `PhysicalSortExpr`s.
+    ///
+    /// # Returns
+    ///
+    /// A vector of lexicographical orderings (`Vec<LexOrdering>`) based on the given
+    /// sort expression and its dependencies.
+    fn construct_orderings(
+        &mut self,
+        referred_sort_expr: &'a PhysicalSortExpr,
+        dependency_map: &'a DependencyMap,
+    ) -> Vec<LexOrdering> {
+        // We are sure that `referred_sort_expr` is inside `dependency_map`.
+        let node = &dependency_map[referred_sort_expr];
+        // Since we work on intermediate nodes, we are sure `val.target_sort_expr`
+        // exists.
+        let target_sort_expr = node.target_sort_expr.as_ref().unwrap();
+        if node.dependencies.is_empty() {
+            return vec![vec![target_sort_expr.clone()]];
+        };
+
         node.dependencies
             .iter()
             .flat_map(|dep| {
-                let mut orderings = construct_orderings(dep, dependency_map);
+                let mut orderings = if self.insert(target_sort_expr, dep) {
+                    self.construct_orderings(dep, dependency_map)
+                } else {
+                    vec![]
+                };
                 for ordering in orderings.iter_mut() {
                     ordering.push(target_sort_expr.clone())
                 }
@@ -1763,6 +1798,51 @@ mod tests {
         Ok(())
     }
 
+    #[test]
+    fn project_equivalence_properties_test_multi() -> Result<()> {
+        // test multiple input orderings with equivalence properties
+        let input_schema = Arc::new(Schema::new(vec![
+            Field::new("a", DataType::Int64, true),
+            Field::new("b", DataType::Int64, true),
+            Field::new("c", DataType::Int64, true),
+            Field::new("d", DataType::Int64, true),
+        ]));
+
+        let mut input_properties = EquivalenceProperties::new(Arc::clone(&input_schema));
+        // add equivalent ordering [a, b, c, d]
+        input_properties.add_new_ordering(vec![
+            parse_sort_expr("a", &input_schema),
+            parse_sort_expr("b", &input_schema),
+            parse_sort_expr("c", &input_schema),
+            parse_sort_expr("d", &input_schema),
+        ]);
+
+        // add equivalent ordering [a, c, b, d]
+        input_properties.add_new_ordering(vec![
+            parse_sort_expr("a", &input_schema),
+            parse_sort_expr("c", &input_schema),
+            parse_sort_expr("b", &input_schema), // NB b and c are swapped
+            parse_sort_expr("d", &input_schema),
+        ]);
+
+        // simply project all the columns in order
+        let proj_exprs = vec![
+            (col("a", &input_schema)?, "a".to_string()),
+            (col("b", &input_schema)?, "b".to_string()),
+            (col("c", &input_schema)?, "c".to_string()),
+            (col("d", &input_schema)?, "d".to_string()),
+        ];
+        let projection_mapping = ProjectionMapping::try_new(&proj_exprs, &input_schema)?;
+        let out_properties = input_properties.project(&projection_mapping, input_schema);
+
+        assert_eq!(
+            out_properties.to_string(),
+            "order: [[a@0 ASC,c@2 ASC,b@1 ASC,d@3 ASC], [a@0 ASC,b@1 ASC,c@2 ASC,d@3 ASC]]"
+        );
+
+        Ok(())
+    }
+
     #[test]
     fn test_join_equivalence_properties() -> Result<()> {
         let schema = create_test_schema()?;