andygrove opened a new issue, #744:
URL: https://github.com/apache/datafusion-comet/issues/744
### What is the problem the feature request solves?
The benchmarks in `CometAggregateBenchmark` show that `COUNT` is slower than
Spark, but `SUM` is faster than Spark. There should not be so much difference
between these two aggregates. I could not reproduce the performance difference
in standalone DataFusion.
### SUM
```
Grouped HashAgg Exec: single group key (cardinality 1048576), single
aggregate SUM: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per
Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------------------------------------------------
SQL Parquet - Spark (SUM)
1672 1698 37 6.3 159.4
1.0X
SQL Parquet - Comet (Scan) (SUM)
1913 1993 112 5.5 182.5
0.9X
SQL Parquet - Comet (Scan, Exec) (SUM)
669 798 113 15.7 63.8
2.5X
```
### COUNT
```
Grouped HashAgg Exec: single group key (cardinality 1048576), single
aggregate COUNT: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per
Row(ns) Relative
--------------------------------------------------------------------------------------------------------------------------------------------------------------------
SQL Parquet - Spark (COUNT)
1796 1827 43 5.8 171.3
1.0X
SQL Parquet - Comet (Scan) (COUNT)
1810 1853 61 5.8 172.6
1.0X
SQL Parquet - Comet (Scan, Exec) (COUNT)
2827 2867 56 3.7 269.6
0.6X
```
### Describe the potential solution
_No response_
### Additional context
_No response_
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