perf(cubestore): Update DataFusion pointer to new GroupsAccumulator changes

* Replaces Accumulator usage in grouped hash aggregation with
  GroupsAccumulator API

* Makes all accumulators in DF grouped hash aggregation use
  GroupsAccumulatorFlatAdapter

* Uses PrimitiveGroupsAccumulator and CountGroupsAccumulator for sum,
  min, max, and count for faster performance

* Improves memory layout and traversal order of group by keys saved
  during grouped aggregation.

Author: srh

rust/cubestore/Cargo.lock

@@ -3144,14 +3144,14 @@ async fn planning_inplace_aggregate2(service: Box<dyn SqlClient>) {
         pp_phys_plan_ext(p.router.as_ref(), &verbose),
         "Projection, [url, SUM(Data.hits)@1:hits]\
            \n  AggregateTopK, limit: 10, sortBy: [2 desc null last]\
-           \n    ClusterSend, partitions: [[1, 2]]"
+           \n    ClusterSend, partitions: [[1, 2]], sort_order: [1]"
     );
     assert_eq!(
         pp_phys_plan_ext(p.worker.as_ref(), &verbose),
         "Projection, [url, SUM(Data.hits)@1:hits]\
            \n  AggregateTopK, limit: 10, sortBy: [2 desc null last]\
-           \n    Worker\
-           \n      Sort, by: [SUM(hits)@1 desc nulls last]\
+           \n    Worker, sort_order: [1]\
+           \n      Sort, by: [SUM(hits)@1 desc nulls last], sort_order: [1]\
            \n        FullInplaceAggregate, sort_order: [0]\
            \n          MergeSort, single_vals: [0, 1], sort_order: [0, 1, 2]\
            \n            Union, single_vals: [0, 1], sort_order: [0, 1, 2]\

rust/cubestore/cubestore-sql-tests/src/tests.rs

@@ -11,7 +11,7 @@ use byteorder::{BigEndian, WriteBytesExt};
 use chrono::DateTime;
 use chrono::Utc;
 use datafusion::arrow::datatypes::Schema as ArrowSchema;
-use datafusion::physical_plan::expressions::{Column as FusionColumn, Max, Min, Sum};
+use datafusion::physical_plan::expressions::{sum_return_type, Column as FusionColumn, Max, Min, Sum};
 use datafusion::physical_plan::{udaf, AggregateExpr, PhysicalExpr};
 use itertools::Itertools;
 
@@ -76,7 +76,8 @@ impl AggregateColumn {
         )?);
         let res: Arc<dyn AggregateExpr> = match self.function {
             AggregateFunction::SUM => {
-                Arc::new(Sum::new(col.clone(), col.name(), col.data_type(schema)?))
+                let input_data_type = col.data_type(schema)?;
+                Arc::new(Sum::new(col.clone(), col.name(), sum_return_type(&input_data_type)?, &input_data_type))
             }
             AggregateFunction::MAX => {
                 Arc::new(Max::new(col.clone(), col.name(), col.data_type(schema)?))