[branch-48] Fix duplicates on Join creation during physical planning

datafusion/common/src/dfschema.rs

@@ -206,6 +206,25 @@ impl DFSchema {
         Ok(dfschema)
     }
 
+    /// Return the same schema, where all fields have a given qualifier.
+    pub fn with_field_specific_qualified_schema(
+        &self,
+        qualifiers: Vec<Option<TableReference>>,
+    ) -> Result<Self> {
+        if qualifiers.len() != self.fields().len() {
+            return _plan_err!(
+                "Number of qualifiers must match number of fields. Expected {}, got {}",
+                self.fields().len(),
+                qualifiers.len()
+            );
+        }
+        Ok(DFSchema {
+            inner: Arc::clone(&self.inner),
+            field_qualifiers: qualifiers,
+            functional_dependencies: self.functional_dependencies.clone(),
+        })
+    }
+
     /// Check if the schema have some fields with the same name
     pub fn check_names(&self) -> Result<()> {
         let mut qualified_names = BTreeSet::new();

datafusion/core/src/physical_planner.rs

@@ -89,14 +89,15 @@ use datafusion_physical_optimizer::PhysicalOptimizerRule;
 use datafusion_physical_plan::execution_plan::InvariantLevel;
 use datafusion_physical_plan::placeholder_row::PlaceholderRowExec;
 use datafusion_physical_plan::unnest::ListUnnest;
+use datafusion_sql::TableReference;
+use sqlparser::ast::NullTreatment;
 
 use crate::schema_equivalence::schema_satisfied_by;
 use async_trait::async_trait;
 use datafusion_datasource::file_groups::FileGroup;
 use futures::{StreamExt, TryStreamExt};
 use itertools::{multiunzip, Itertools};
 use log::{debug, trace};
-use sqlparser::ast::NullTreatment;
 use tokio::sync::Mutex;
 
 /// Physical query planner that converts a `LogicalPlan` to an
@@ -890,8 +891,8 @@ impl DefaultPhysicalPlanner {
 
             // 2 Children
             LogicalPlan::Join(Join {
-                left,
-                right,
+                left: original_left,
+                right: original_right,
                 on: keys,
                 filter,
                 join_type,
@@ -916,23 +917,25 @@ impl DefaultPhysicalPlanner {
                     let (left, left_col_keys, left_projected) =
                         wrap_projection_for_join_if_necessary(
                             &left_keys,
-                            left.as_ref().clone(),
+                            original_left.as_ref().clone(),
                         )?;
                     let (right, right_col_keys, right_projected) =
                         wrap_projection_for_join_if_necessary(
                             &right_keys,
-                            right.as_ref().clone(),
+                            original_right.as_ref().clone(),
                         )?;
                     let column_on = (left_col_keys, right_col_keys);
 
                     let left = Arc::new(left);
                     let right = Arc::new(right);
-                    let new_join = LogicalPlan::Join(Join::try_new_with_project_input(
+                    let (new_join, requalified) = Join::try_new_with_project_input(
                         node,
                         Arc::clone(&left),
                         Arc::clone(&right),
                         column_on,
-                    )?);
+                    )?;
+
+                    let new_join = LogicalPlan::Join(new_join);
 
                     // If inputs were projected then create ExecutionPlan for these new
                     // LogicalPlan nodes.
@@ -965,8 +968,24 @@ impl DefaultPhysicalPlanner {
 
                     // Remove temporary projected columns
                     if left_projected || right_projected {
-                        let final_join_result =
-                            join_schema.iter().map(Expr::from).collect::<Vec<_>>();
+                        // Re-qualify the join schema only if the inputs were previously requalified in
+                        // `try_new_with_project_input`. This ensures that when building the Projection
+                        // it can correctly resolve field nullability and data types
+                        // by disambiguating fields from the left and right sides of the join.
+                        let qualified_join_schema = if requalified {
+                            Arc::new(qualify_join_schema_sides(
+                                join_schema,
+                                original_left,
+                                original_right,
+                            )?)
+                        } else {
+                            Arc::clone(join_schema)
+                        };
+
+                        let final_join_result = qualified_join_schema
+                            .iter()
+                            .map(Expr::from)
+                            .collect::<Vec<_>>();
                         let projection = LogicalPlan::Projection(Projection::try_new(
                             final_join_result,
                             Arc::new(new_join),
@@ -1463,6 +1482,64 @@ fn get_null_physical_expr_pair(
     Ok((Arc::new(null_value), physical_name))
 }
 
+/// Qualifies the fields in a join schema with "left" and "right" qualifiers
+/// without mutating the original schema. This function should only be used when
+/// the join inputs have already been requalified earlier in `try_new_with_project_input`.
+///
+/// The purpose is to avoid ambiguity errors later in planning (e.g., in nullability or data type resolution)
+/// when converting expressions to fields.
+fn qualify_join_schema_sides(
+    join_schema: &DFSchema,
+    left: &LogicalPlan,
+    right: &LogicalPlan,
+) -> Result<DFSchema> {
+    let left_fields = left.schema().fields();
+    let right_fields = right.schema().fields();
+    let join_fields = join_schema.fields();
+
+    // Validate lengths
+    if join_fields.len() != left_fields.len() + right_fields.len() {
+        return internal_err!(
+            "Join schema field count must match left and right field count."
+        );
+    }
+
+    // Validate field names match
+    for (i, (field, expected)) in join_fields
+        .iter()
+        .zip(left_fields.iter().chain(right_fields.iter()))
+        .enumerate()
+    {
+        if field.name() != expected.name() {
+            return internal_err!(
+                "Field name mismatch at index {}: expected '{}', found '{}'",
+                i,
+                expected.name(),
+                field.name()
+            );
+        }
+    }
+
+    // qualify sides
+    let qualifiers = join_fields
+        .iter()
+        .enumerate()
+        .map(|(i, _)| {
+            if i < left_fields.len() {
+                Some(TableReference::Bare {
+                    table: Arc::from("left"),
+                })
+            } else {
+                Some(TableReference::Bare {
+                    table: Arc::from("right"),
+                })
+            }
+        })
+        .collect();
+
+    join_schema.with_field_specific_qualified_schema(qualifiers)
+}
+
 fn get_physical_expr_pair(
     expr: &Expr,
     input_dfschema: &DFSchema,

datafusion/expr/src/logical_plan/builder.rs

@@ -1646,6 +1646,38 @@ pub fn build_join_schema(
     dfschema.with_functional_dependencies(func_dependencies)
 }
 
+/// (Re)qualify the sides of a join if needed, i.e. if the columns from one side would otherwise
+/// conflict with the columns from the other.
+/// This is especially useful for queries that come as Substrait, since Substrait doesn't currently allow specifying
+/// aliases, neither for columns nor for tables.  DataFusion requires columns to be uniquely identifiable, in some
+/// places (see e.g. DFSchema::check_names).
+/// The function returns:
+/// - The requalified or original left logical plan
+/// - The requalified or original right logical plan
+/// - If a requalification was needed or not
+pub fn requalify_sides_if_needed(
+    left: LogicalPlanBuilder,
+    right: LogicalPlanBuilder,
+) -> Result<(LogicalPlanBuilder, LogicalPlanBuilder, bool)> {
+    let left_cols = left.schema().columns();
+    let right_cols = right.schema().columns();
+    if left_cols.iter().any(|l| {
+        right_cols.iter().any(|r| {
+            l == r || (l.name == r.name && (l.relation.is_none() || r.relation.is_none()))
+        })
+    }) {
+        // These names have no connection to the original plan, but they'll make the columns
+        // (mostly) unique.
+        Ok((
+            left.alias(TableReference::bare("left"))?,
+            right.alias(TableReference::bare("right"))?,
+            true,
+        ))
+    } else {
+        Ok((left, right, false))
+    }
+}
+
 /// Add additional "synthetic" group by expressions based on functional
 /// dependencies.
 ///

datafusion/expr/src/logical_plan/mod.rs

@@ -27,8 +27,9 @@ mod statement;
 pub mod tree_node;
 
 pub use builder::{
-    build_join_schema, table_scan, union, wrap_projection_for_join_if_necessary,
-    LogicalPlanBuilder, LogicalPlanBuilderOptions, LogicalTableSource, UNNAMED_TABLE,
+    build_join_schema, requalify_sides_if_needed, table_scan, union,
+    wrap_projection_for_join_if_necessary, LogicalPlanBuilder, LogicalPlanBuilderOptions,
+    LogicalTableSource, UNNAMED_TABLE,
 };
 pub use ddl::{
     CreateCatalog, CreateCatalogSchema, CreateExternalTable, CreateFunction,

datafusion/expr/src/logical_plan/plan.rs

@@ -43,9 +43,10 @@ use crate::utils::{
     grouping_set_expr_count, grouping_set_to_exprlist, split_conjunction,
 };
 use crate::{
-    build_join_schema, expr_vec_fmt, BinaryExpr, CreateMemoryTable, CreateView, Execute,
-    Expr, ExprSchemable, LogicalPlanBuilder, Operator, Prepare,
-    TableProviderFilterPushDown, TableSource, WindowFunctionDefinition,
+    build_join_schema, expr_vec_fmt, requalify_sides_if_needed, BinaryExpr,
+    CreateMemoryTable, CreateView, Execute, Expr, ExprSchemable, LogicalPlanBuilder,
+    Operator, Prepare, TableProviderFilterPushDown, TableSource,
+    WindowFunctionDefinition,
 };
 
 use arrow::datatypes::{DataType, Field, Schema, SchemaRef};
@@ -3750,37 +3751,61 @@ impl Join {
         })
     }
 
-    /// Create Join with input which wrapped with projection, this method is used to help create physical join.
+    /// Create Join with input which wrapped with projection, this method is used in physcial planning only to help
+    /// create the physical join.
     pub fn try_new_with_project_input(
         original: &LogicalPlan,
         left: Arc<LogicalPlan>,
         right: Arc<LogicalPlan>,
         column_on: (Vec<Column>, Vec<Column>),
-    ) -> Result<Self> {
+    ) -> Result<(Self, bool)> {
         let original_join = match original {
             LogicalPlan::Join(join) => join,
             _ => return plan_err!("Could not create join with project input"),
         };
 
+        let mut left_sch = LogicalPlanBuilder::from(Arc::clone(&left));
+        let mut right_sch = LogicalPlanBuilder::from(Arc::clone(&right));
+
+        let mut requalified = false;
+
+        // By definition, the resulting schema of an inner/left/right & full join will have first the left side fields and then the right,
+        // potentially having duplicate field names. Note this will only qualify fields if they have not been qualified before.
+        if original_join.join_type == JoinType::Inner
+            || original_join.join_type == JoinType::Left
+            || original_join.join_type == JoinType::Right
+            || original_join.join_type == JoinType::Full
+        {
+            (left_sch, right_sch, requalified) =
+                requalify_sides_if_needed(left_sch.clone(), right_sch.clone())?;
+        }
+
         let on: Vec<(Expr, Expr)> = column_on
             .0
             .into_iter()
             .zip(column_on.1)
             .map(|(l, r)| (Expr::Column(l), Expr::Column(r)))
             .collect();
-        let join_schema =
-            build_join_schema(left.schema(), right.schema(), &original_join.join_type)?;
 
-        Ok(Join {
-            left,
-            right,
-            on,
-            filter: original_join.filter.clone(),
-            join_type: original_join.join_type,
-            join_constraint: original_join.join_constraint,
-            schema: Arc::new(join_schema),
-            null_equals_null: original_join.null_equals_null,
-        })
+        let join_schema = build_join_schema(
+            left_sch.schema(),
+            right_sch.schema(),
+            &original_join.join_type,
+        )?;
+
+        Ok((
+            Join {
+                left,
+                right,
+                on,
+                filter: original_join.filter.clone(),
+                join_type: original_join.join_type,
+                join_constraint: original_join.join_constraint,
+                schema: Arc::new(join_schema),
+                null_equals_null: original_join.null_equals_null,
+            },
+            requalified,
+        ))
     }
 }
 

datafusion/substrait/src/logical_plan/consumer/rel/cross_rel.rs

@@ -15,9 +15,11 @@
 // specific language governing permissions and limitations
 // under the License.
 
-use crate::logical_plan::consumer::utils::requalify_sides_if_needed;
 use crate::logical_plan::consumer::SubstraitConsumer;
 use datafusion::logical_expr::{LogicalPlan, LogicalPlanBuilder};
+
+use datafusion::logical_expr::requalify_sides_if_needed;
+
 use substrait::proto::CrossRel;
 
 pub async fn from_cross_rel(
@@ -30,6 +32,6 @@ pub async fn from_cross_rel(
     let right = LogicalPlanBuilder::from(
         consumer.consume_rel(cross.right.as_ref().unwrap()).await?,
     );
-    let (left, right) = requalify_sides_if_needed(left, right)?;
+    let (left, right, _requalified) = requalify_sides_if_needed(left, right)?;
     left.cross_join(right.build()?)?.build()
 }

datafusion/substrait/src/logical_plan/consumer/rel/join_rel.rs

@@ -15,13 +15,14 @@
 // specific language governing permissions and limitations
 // under the License.
 
-use crate::logical_plan::consumer::utils::requalify_sides_if_needed;
 use crate::logical_plan::consumer::SubstraitConsumer;
 use datafusion::common::{not_impl_err, plan_err, Column, JoinType};
+use datafusion::logical_expr::requalify_sides_if_needed;
 use datafusion::logical_expr::utils::split_conjunction;
 use datafusion::logical_expr::{
     BinaryExpr, Expr, LogicalPlan, LogicalPlanBuilder, Operator,
 };
+
 use substrait::proto::{join_rel, JoinRel};
 
 pub async fn from_join_rel(
@@ -38,7 +39,7 @@ pub async fn from_join_rel(
     let right = LogicalPlanBuilder::from(
         consumer.consume_rel(join.right.as_ref().unwrap()).await?,
     );
-    let (left, right) = requalify_sides_if_needed(left, right)?;
+    let (left, right, _requalified) = requalify_sides_if_needed(left, right)?;
 
     let join_type = from_substrait_jointype(join.r#type)?;
     // The join condition expression needs full input schema and not the output schema from join since we lose columns from