Projection Expression - Input Field Inconsistencies during Projection

datafusion/core/src/physical_optimizer/aggregate_statistics.rs

@@ -35,9 +35,6 @@ use datafusion_physical_plan::placeholder_row::PlaceholderRowExec;
 #[derive(Default)]
 pub struct AggregateStatistics {}
 
-/// The name of the column corresponding to [`COUNT_STAR_EXPANSION`]
-const COUNT_STAR_NAME: &str = "COUNT(*)";
-
 impl AggregateStatistics {
     #[allow(missing_docs)]
     pub fn new() -> Self {
@@ -144,7 +141,7 @@ fn take_optimizable(node: &dyn ExecutionPlan) -> Option<Arc<dyn ExecutionPlan>>
 fn take_optimizable_table_count(
     agg_expr: &dyn AggregateExpr,
     stats: &Statistics,
-) -> Option<(ScalarValue, &'static str)> {
+) -> Option<(ScalarValue, String)> {
     if let (&Precision::Exact(num_rows), Some(casted_expr)) = (
         &stats.num_rows,
         agg_expr.as_any().downcast_ref::<expressions::Count>(),
@@ -158,7 +155,7 @@ fn take_optimizable_table_count(
                 if lit_expr.value() == &COUNT_STAR_EXPANSION {
                     return Some((
                         ScalarValue::Int64(Some(num_rows as i64)),
-                        COUNT_STAR_NAME,
+                        casted_expr.name().to_owned(),
                     ));
                 }
             }
@@ -427,7 +424,7 @@ pub(crate) mod tests {
         /// What name would this aggregate produce in a plan?
         fn column_name(&self) -> &'static str {
             match self {
-                Self::CountStar => COUNT_STAR_NAME,
+                Self::CountStar => "COUNT(*)",
                 Self::ColumnA(_) => "COUNT(a)",
             }
         }

datafusion/core/src/physical_planner.rs

@@ -85,6 +85,7 @@ use datafusion_expr::expr::{
     WindowFunction,
 };
 use datafusion_expr::expr_rewriter::unnormalize_cols;
+use datafusion_expr::expr_vec_fmt;
 use datafusion_expr::logical_plan::builder::wrap_projection_for_join_if_necessary;
 use datafusion_expr::{
     DescribeTable, DmlStatement, RecursiveQuery, ScalarFunctionDefinition,
@@ -107,6 +108,7 @@ fn create_function_physical_name(
     fun: &str,
     distinct: bool,
     args: &[Expr],
+    order_by: Option<&Vec<Expr>>,
 ) -> Result<String> {
     let names: Vec<String> = args
         .iter()
@@ -117,7 +119,12 @@ fn create_function_physical_name(
         true => "DISTINCT ",
         false => "",
     };
-    Ok(format!("{}({}{})", fun, distinct_str, names.join(",")))
+
+    let phys_name = format!("{}({}{})", fun, distinct_str, names.join(","));
+
+    Ok(order_by
+        .map(|order_by| format!("{} ORDER BY [{}]", phys_name, expr_vec_fmt!(order_by)))
+        .unwrap_or(phys_name))
 }
 
 fn physical_name(e: &Expr) -> Result<String> {
@@ -237,22 +244,30 @@ fn create_physical_name(e: &Expr, is_first_expr: bool) -> Result<String> {
                 return internal_err!("Function `Expr` with name should be resolved.");
             }
 
-            create_function_physical_name(fun.name(), false, &fun.args)
+            create_function_physical_name(fun.name(), false, &fun.args, None)
         }
-        Expr::WindowFunction(WindowFunction { fun, args, .. }) => {
-            create_function_physical_name(&fun.to_string(), false, args)
+        Expr::WindowFunction(WindowFunction {
+            fun,
+            args,
+            order_by,
+            ..
+        }) => {
+            create_function_physical_name(&fun.to_string(), false, args, Some(order_by))
         }
         Expr::AggregateFunction(AggregateFunction {
             func_def,
             distinct,
             args,
             filter,
-            order_by: _,
+            order_by,
             null_treatment: _,
         }) => match func_def {
-            AggregateFunctionDefinition::BuiltIn(..) => {
-                create_function_physical_name(func_def.name(), *distinct, args)
-            }
+            AggregateFunctionDefinition::BuiltIn(..) => create_function_physical_name(
+                func_def.name(),
+                *distinct,
+                args,
+                order_by.as_ref(),
+            ),
             AggregateFunctionDefinition::UDF(fun) => {
                 // TODO: Add support for filter by in AggregateUDF
                 if filter.is_some() {

datafusion/functions-aggregate/src/first_last.rs

@@ -405,11 +405,9 @@ impl FirstValuePhysicalExpr {
     }
 
     pub fn convert_to_last(self) -> LastValuePhysicalExpr {
-        let name = if self.name.starts_with("FIRST") {
-            format!("LAST{}", &self.name[5..])
-        } else {
-            format!("LAST_VALUE({})", self.expr)
-        };
+        let mut name = format!("LAST{}", &self.name[5..]);
+        replace_order_by_clause(&mut name);
+
         let FirstValuePhysicalExpr {
             expr,
             input_data_type,
@@ -583,11 +581,9 @@ impl LastValuePhysicalExpr {
     }
 
     pub fn convert_to_first(self) -> FirstValuePhysicalExpr {
-        let name = if self.name.starts_with("LAST") {
-            format!("FIRST{}", &self.name[4..])
-        } else {
-            format!("FIRST_VALUE({})", self.expr)
-        };
+        let mut name = format!("FIRST{}", &self.name[4..]);
+        replace_order_by_clause(&mut name);
+
         let LastValuePhysicalExpr {
             expr,
             input_data_type,
@@ -895,6 +891,31 @@ fn convert_to_sort_cols(
         .collect::<Vec<_>>()
 }
 
+fn replace_order_by_clause(order_by: &mut String) {
+    let suffixes = [
+        (" DESC NULLS FIRST]", " ASC NULLS LAST]"),
+        (" ASC NULLS FIRST]", " DESC NULLS LAST]"),
+        (" DESC NULLS LAST]", " ASC NULLS FIRST]"),
+        (" ASC NULLS LAST]", " DESC NULLS FIRST]"),
+    ];
+
+    if let Some(start) = order_by.find("ORDER BY [") {
+        if let Some(end) = order_by[start..].find(']') {
+            let order_by_start = start + 9;
+            let order_by_end = start + end;
+
+            let column_order = &order_by[order_by_start..=order_by_end];
+            for &(suffix, replacement) in &suffixes {
+                if column_order.ends_with(suffix) {
+                    let new_order = column_order.replace(suffix, replacement);
+                    order_by.replace_range(order_by_start..=order_by_end, &new_order);
+                    break;
+                }
+            }
+        }
+    }
+}
+
 #[cfg(test)]
 mod tests {
     use arrow::array::Int64Array;

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

@@ -20,7 +20,7 @@ use std::sync::Arc;
 use arrow::datatypes::SchemaRef;
 
 use datafusion_common::tree_node::{Transformed, TransformedResult, TreeNode};
-use datafusion_common::Result;
+use datafusion_common::{internal_err, Result};
 
 use crate::expressions::Column;
 use crate::PhysicalExpr;
@@ -67,6 +67,10 @@ impl ProjectionMapping {
                             // Conceptually, `source_expr` and `expression` should be the same.
                             let idx = col.index();
                             let matching_input_field = input_schema.field(idx);
+                            if col.name() != matching_input_field.name() {
+                                return internal_err!("Input field name {} does not match with the projection expression {}",
+                                    matching_input_field.name(),col.name())
+                                }
                             let matching_input_column =
                                 Column::new(matching_input_field.name(), idx);
                             Ok(Transformed::yes(Arc::new(matching_input_column)))

datafusion/sqllogictest/test_files/agg_func_substitute.slt

@@ -44,11 +44,11 @@ logical_plan
 03)----TableScan: multiple_ordered_table projection=[a, c]
 physical_plan
 01)ProjectionExec: expr=[a@0 as a, NTH_VALUE(multiple_ordered_table.c,Int64(1)) ORDER BY [multiple_ordered_table.c ASC NULLS LAST]@1 as result]
-02)--AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[NTH_VALUE(multiple_ordered_table.c,Int64(1))], ordering_mode=Sorted
+02)--AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[NTH_VALUE(multiple_ordered_table.c,Int64(1)) ORDER BY [multiple_ordered_table.c ASC NULLS LAST]], ordering_mode=Sorted
 03)----SortExec: expr=[a@0 ASC NULLS LAST]
 04)------CoalesceBatchesExec: target_batch_size=8192
 05)--------RepartitionExec: partitioning=Hash([a@0], 4), input_partitions=4
-06)----------AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[NTH_VALUE(multiple_ordered_table.c,Int64(1))], ordering_mode=Sorted
+06)----------AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[NTH_VALUE(multiple_ordered_table.c,Int64(1)) ORDER BY [multiple_ordered_table.c ASC NULLS LAST]], ordering_mode=Sorted
 07)------------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
 08)--------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a, c], output_orderings=[[a@0 ASC NULLS LAST], [c@1 ASC NULLS LAST]], has_header=true
 
@@ -64,11 +64,11 @@ logical_plan
 03)----TableScan: multiple_ordered_table projection=[a, c]
 physical_plan
 01)ProjectionExec: expr=[a@0 as a, NTH_VALUE(multiple_ordered_table.c,Int64(1)) ORDER BY [multiple_ordered_table.c ASC NULLS LAST]@1 as result]
-02)--AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[NTH_VALUE(multiple_ordered_table.c,Int64(1))], ordering_mode=Sorted
+02)--AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[NTH_VALUE(multiple_ordered_table.c,Int64(1)) ORDER BY [multiple_ordered_table.c ASC NULLS LAST]], ordering_mode=Sorted
 03)----SortExec: expr=[a@0 ASC NULLS LAST]
 04)------CoalesceBatchesExec: target_batch_size=8192
 05)--------RepartitionExec: partitioning=Hash([a@0], 4), input_partitions=4
-06)----------AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[NTH_VALUE(multiple_ordered_table.c,Int64(1))], ordering_mode=Sorted
+06)----------AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[NTH_VALUE(multiple_ordered_table.c,Int64(1)) ORDER BY [multiple_ordered_table.c ASC NULLS LAST]], ordering_mode=Sorted
 07)------------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
 08)--------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a, c], output_orderings=[[a@0 ASC NULLS LAST], [c@1 ASC NULLS LAST]], has_header=true
 

datafusion/sqllogictest/test_files/aggregate.slt

@@ -132,9 +132,9 @@ logical_plan
 01)Aggregate: groupBy=[[]], aggr=[[ARRAY_AGG(agg_order.c1) ORDER BY [agg_order.c2 DESC NULLS FIRST, agg_order.c3 ASC NULLS LAST]]]
 02)--TableScan: agg_order projection=[c1, c2, c3]
 physical_plan
-01)AggregateExec: mode=Final, gby=[], aggr=[ARRAY_AGG(agg_order.c1)]
+01)AggregateExec: mode=Final, gby=[], aggr=[ARRAY_AGG(agg_order.c1) ORDER BY [agg_order.c2 DESC NULLS FIRST, agg_order.c3 ASC NULLS LAST]]
 02)--CoalescePartitionsExec
-03)----AggregateExec: mode=Partial, gby=[], aggr=[ARRAY_AGG(agg_order.c1)]
+03)----AggregateExec: mode=Partial, gby=[], aggr=[ARRAY_AGG(agg_order.c1) ORDER BY [agg_order.c2 DESC NULLS FIRST, agg_order.c3 ASC NULLS LAST]]
 04)------SortExec: expr=[c2@1 DESC,c3@2 ASC NULLS LAST]
 05)--------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
 06)----------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/aggregate_agg_multi_order.csv]]}, projection=[c1, c2, c3], has_header=true
@@ -3478,9 +3478,9 @@ logical_plan
 01)Aggregate: groupBy=[[]], aggr=[[FIRST_VALUE(convert_first_last_table.c1) ORDER BY [convert_first_last_table.c3 DESC NULLS FIRST]]]
 02)--TableScan: convert_first_last_table projection=[c1, c3]
 physical_plan
-01)AggregateExec: mode=Final, gby=[], aggr=[FIRST_VALUE(convert_first_last_table.c1)]
+01)AggregateExec: mode=Final, gby=[], aggr=[FIRST_VALUE(convert_first_last_table.c1) ORDER BY [convert_first_last_table.c3 DESC NULLS FIRST]]
 02)--CoalescePartitionsExec
-03)----AggregateExec: mode=Partial, gby=[], aggr=[LAST_VALUE(convert_first_last_table.c1)]
+03)----AggregateExec: mode=Partial, gby=[], aggr=[LAST_VALUE(convert_first_last_table.c1) ORDER BY [convert_first_last_table.c3 ASC NULLS LAST]]
 04)------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/convert_first_last.csv]]}, projection=[c1, c3], output_orderings=[[c1@0 ASC NULLS LAST], [c3@1 ASC NULLS LAST]], has_header=true
 
@@ -3492,8 +3492,8 @@ logical_plan
 01)Aggregate: groupBy=[[]], aggr=[[LAST_VALUE(convert_first_last_table.c1) ORDER BY [convert_first_last_table.c2 ASC NULLS LAST]]]
 02)--TableScan: convert_first_last_table projection=[c1, c2]
 physical_plan
-01)AggregateExec: mode=Final, gby=[], aggr=[LAST_VALUE(convert_first_last_table.c1)]
+01)AggregateExec: mode=Final, gby=[], aggr=[LAST_VALUE(convert_first_last_table.c1) ORDER BY [convert_first_last_table.c2 ASC NULLS LAST]]
 02)--CoalescePartitionsExec
-03)----AggregateExec: mode=Partial, gby=[], aggr=[FIRST_VALUE(convert_first_last_table.c1)]
+03)----AggregateExec: mode=Partial, gby=[], aggr=[FIRST_VALUE(convert_first_last_table.c1) ORDER BY [convert_first_last_table.c2 DESC NULLS FIRST]]
 04)------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/convert_first_last.csv]]}, projection=[c1, c2], output_orderings=[[c1@0 ASC NULLS LAST], [c2@1 DESC]], has_header=true

datafusion/sqllogictest/test_files/distinct_on.slt

@@ -97,10 +97,10 @@ physical_plan
 01)ProjectionExec: expr=[FIRST_VALUE(aggregate_test_100.c3) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c3 ASC NULLS LAST]@1 as c3, FIRST_VALUE(aggregate_test_100.c2) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c3 ASC NULLS LAST]@2 as c2]
 02)--SortPreservingMergeExec: [c1@0 ASC NULLS LAST]
 03)----SortExec: expr=[c1@0 ASC NULLS LAST]
-04)------AggregateExec: mode=FinalPartitioned, gby=[c1@0 as c1], aggr=[FIRST_VALUE(aggregate_test_100.c3), FIRST_VALUE(aggregate_test_100.c2)]
+04)------AggregateExec: mode=FinalPartitioned, gby=[c1@0 as c1], aggr=[FIRST_VALUE(aggregate_test_100.c3) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c3 ASC NULLS LAST], FIRST_VALUE(aggregate_test_100.c2) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c3 ASC NULLS LAST]]
 05)--------CoalesceBatchesExec: target_batch_size=8192
 06)----------RepartitionExec: partitioning=Hash([c1@0], 4), input_partitions=4
-07)------------AggregateExec: mode=Partial, gby=[c1@0 as c1], aggr=[FIRST_VALUE(aggregate_test_100.c3), FIRST_VALUE(aggregate_test_100.c2)]
+07)------------AggregateExec: mode=Partial, gby=[c1@0 as c1], aggr=[FIRST_VALUE(aggregate_test_100.c3) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c3 ASC NULLS LAST], FIRST_VALUE(aggregate_test_100.c2) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c3 ASC NULLS LAST]]
 08)--------------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
 09)----------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c1, c2, c3], has_header=true