Remove expr_fn::sum and replace them with function stub (#10816)

* introduce stub for test

Signed-off-by: jayzhan211 <[email protected]>

* fix err msg

Signed-off-by: jayzhan211 <[email protected]>

* dont compare error msg, ci is not consistent with local

Signed-off-by: jayzhan211 <[email protected]>

* comment and cli update

Signed-off-by: jayzhan211 <[email protected]>

* fmt

Signed-off-by: jayzhan211 <[email protected]>

---------

Signed-off-by: jayzhan211 <[email protected]>

Author: jayzhan211

datafusion-cli/Cargo.lock

@@ -168,20 +168,6 @@ pub fn max(expr: Expr) -> Expr {
     ))
 }
 
-/// Create an expression to represent the sum() aggregate function
-///
-/// TODO: Remove this function and use `sum` from `datafusion_functions_aggregate::expr_fn` instead
-pub fn sum(expr: Expr) -> Expr {
-    Expr::AggregateFunction(AggregateFunction::new(
-        aggregate_function::AggregateFunction::Sum,
-        vec![expr],
-        false,
-        None,
-        None,
-        None,
-    ))
-}
-
 /// Create an expression to represent the array_agg() aggregate function
 pub fn array_agg(expr: Expr) -> Expr {
     Expr::AggregateFunction(AggregateFunction::new(

datafusion/expr/src/expr_fn.rs

@@ -1719,7 +1719,7 @@ pub fn unnest_with_options(
 mod tests {
     use super::*;
     use crate::logical_plan::StringifiedPlan;
-    use crate::{col, expr, expr_fn::exists, in_subquery, lit, scalar_subquery, sum};
+    use crate::{col, expr, expr_fn::exists, in_subquery, lit, scalar_subquery};
 
     use datafusion_common::SchemaError;
 
@@ -1775,28 +1775,6 @@ mod tests {
         );
     }
 
-    #[test]
-    fn plan_builder_aggregate() -> Result<()> {
-        let plan =
-            table_scan(Some("employee_csv"), &employee_schema(), Some(vec![3, 4]))?
-                .aggregate(
-                    vec![col("state")],
-                    vec![sum(col("salary")).alias("total_salary")],
-                )?
-                .project(vec![col("state"), col("total_salary")])?
-                .limit(2, Some(10))?
-                .build()?;
-
-        let expected = "Limit: skip=2, fetch=10\
-                \n  Projection: employee_csv.state, total_salary\
-                \n    Aggregate: groupBy=[[employee_csv.state]], aggr=[[SUM(employee_csv.salary) AS total_salary]]\
-                \n      TableScan: employee_csv projection=[state, salary]";
-
-        assert_eq!(expected, format!("{plan:?}"));
-
-        Ok(())
-    }
-
     #[test]
     fn plan_builder_sort() -> Result<()> {
         let plan =
@@ -2037,36 +2015,6 @@ mod tests {
         }
     }
 
-    #[test]
-    fn aggregate_non_unique_names() -> Result<()> {
-        let plan = table_scan(
-            Some("employee_csv"),
-            &employee_schema(),
-            // project state and salary by column index
-            Some(vec![3, 4]),
-        )?
-        // two columns with the same name => error
-        .aggregate(vec![col("state")], vec![sum(col("salary")).alias("state")]);
-
-        match plan {
-            Err(DataFusionError::SchemaError(
-                SchemaError::AmbiguousReference {
-                    field:
-                        Column {
-                            relation: Some(TableReference::Bare { table }),
-                            name,
-                        },
-                },
-                _,
-            )) => {
-                assert_eq!(*"employee_csv", *table);
-                assert_eq!("state", &name);
-                Ok(())
-            }
-            _ => plan_err!("Plan should have returned an DataFusionError::SchemaError"),
-        }
-    }
-
     fn employee_schema() -> Schema {
         Schema::new(vec![
             Field::new("id", DataType::Int32, false),

datafusion/expr/src/logical_plan/builder.rs

@@ -50,6 +50,7 @@ hashbrown = { workspace = true }
 indexmap = { workspace = true }
 itertools = { workspace = true }
 log = { workspace = true }
+paste = "1.0.14"
 regex-syntax = "0.8.0"
 
 [dev-dependencies]

datafusion/optimizer/Cargo.toml

@@ -117,13 +117,14 @@ fn analyze_internal(plan: LogicalPlan) -> Result<Transformed<LogicalPlan>> {
 #[cfg(test)]
 mod tests {
     use super::*;
+    use crate::test::function_stub::sum;
     use crate::test::*;
     use arrow::datatypes::DataType;
     use datafusion_common::ScalarValue;
     use datafusion_expr::expr::Sort;
     use datafusion_expr::{
         col, count, exists, expr, in_subquery, logical_plan::LogicalPlanBuilder, max,
-        out_ref_col, scalar_subquery, sum, wildcard, AggregateFunction, WindowFrame,
+        out_ref_col, scalar_subquery, wildcard, AggregateFunction, WindowFrame,
         WindowFrameBound, WindowFrameUnits,
     };
     use std::sync::Arc;
@@ -275,11 +276,9 @@ mod tests {
     #[test]
     fn test_count_wildcard_on_non_count_aggregate() -> Result<()> {
         let table_scan = test_table_scan()?;
-        let err = LogicalPlanBuilder::from(table_scan)
-            .aggregate(Vec::<Expr>::new(), vec![sum(wildcard())])
-            .unwrap_err()
-            .to_string();
-        assert!(err.contains("Error during planning: No function matches the given name and argument types 'SUM(Null)'."), "{err}");
+        let res = LogicalPlanBuilder::from(table_scan)
+            .aggregate(Vec::<Expr>::new(), vec![sum(wildcard())]);
+        assert!(res.is_err());
         Ok(())
     }
 

datafusion/optimizer/src/analyzer/count_wildcard_rule.rs

@@ -840,13 +840,15 @@ mod test {
     use arrow::datatypes::Schema;
 
     use datafusion_expr::logical_plan::{table_scan, JoinType};
-    use datafusion_expr::{avg, lit, logical_plan::builder::LogicalPlanBuilder, sum};
+
+    use datafusion_expr::{avg, lit, logical_plan::builder::LogicalPlanBuilder};
     use datafusion_expr::{
         grouping_set, AccumulatorFactoryFunction, AggregateUDF, Signature,
         SimpleAggregateUDF, Volatility,
     };
 
     use crate::optimizer::OptimizerContext;
+    use crate::test::function_stub::sum;
     use crate::test::*;
 
     use super::*;

datafusion/optimizer/src/common_subexpr_eliminate.rs

@@ -91,10 +91,11 @@ mod tests {
 
     use datafusion_common::{Result, ScalarValue};
     use datafusion_expr::{
-        col, lit, logical_plan::builder::LogicalPlanBuilder, sum, Expr, LogicalPlan,
+        col, lit, logical_plan::builder::LogicalPlanBuilder, Expr, LogicalPlan,
     };
 
     use crate::eliminate_filter::EliminateFilter;
+    use crate::test::function_stub::sum;
     use crate::test::*;
 
     fn assert_optimized_plan_equal(plan: LogicalPlan, expected: &str) -> Result<()> {

datafusion/optimizer/src/eliminate_filter.rs

@@ -100,11 +100,11 @@ mod tests {
     use datafusion_expr::{
         col,
         logical_plan::{builder::LogicalPlanBuilder, JoinType},
-        sum,
     };
     use std::sync::Arc;
 
     use crate::push_down_limit::PushDownLimit;
+    use crate::test::function_stub::sum;
 
     fn observe(_plan: &LogicalPlan, _rule: &dyn OptimizerRule) {}
     fn assert_optimized_plan_eq(plan: LogicalPlan, expected: &str) -> Result<()> {

datafusion/optimizer/src/eliminate_limit.rs

@@ -1090,13 +1090,14 @@ mod tests {
     use datafusion_expr::expr::ScalarFunction;
     use datafusion_expr::logical_plan::table_scan;
     use datafusion_expr::{
-        col, in_list, in_subquery, lit, sum, ColumnarValue, Extension, ScalarUDF,
+        col, in_list, in_subquery, lit, ColumnarValue, Extension, ScalarUDF,
         ScalarUDFImpl, Signature, TableSource, TableType, UserDefinedLogicalNodeCore,
         Volatility,
     };
 
     use crate::optimizer::Optimizer;
     use crate::rewrite_disjunctive_predicate::RewriteDisjunctivePredicate;
+    use crate::test::function_stub::sum;
     use crate::test::*;
     use crate::OptimizerContext;
 

datafusion/optimizer/src/push_down_filter.rs

@@ -400,10 +400,9 @@ mod tests {
     use super::*;
     use crate::test::*;
 
+    use crate::test::function_stub::sum;
     use arrow::datatypes::DataType;
-    use datafusion_expr::{
-        col, lit, max, min, out_ref_col, scalar_subquery, sum, Between,
-    };
+    use datafusion_expr::{col, lit, max, min, out_ref_col, scalar_subquery, Between};
 
     /// Test multiple correlated subqueries
     #[test]

datafusion/optimizer/src/scalar_subquery_to_join.rs

@@ -360,12 +360,13 @@ impl OptimizerRule for SingleDistinctToGroupBy {
 #[cfg(test)]
 mod tests {
     use super::*;
+    use crate::test::function_stub::sum;
     use crate::test::*;
     use datafusion_expr::expr;
     use datafusion_expr::expr::GroupingSet;
     use datafusion_expr::{
         count, count_distinct, lit, logical_plan::builder::LogicalPlanBuilder, max, min,
-        sum, AggregateFunction,
+        AggregateFunction,
     };
 
     fn assert_optimized_plan_equal(plan: LogicalPlan, expected: &str) -> Result<()> {