andygrove opened a new issue, #808:
URL: https://github.com/apache/datafusion-comet/issues/808
### What is the problem the feature request solves?
Query:
```sql
select ss_sold_date_sk, ss_sold_time_sk, ss_quantity, d_year, d_moy, d_dom
from date_dim join store_sales on d_date_sk = ss_sold_date_sk
where d_year = 2000;
```
Benchmark results:
```
AMD Ryzen 9 7950X3D 16-Core Processor
TPCDS Micro Benchmarks: Best Time(ms) Avg Time(ms)
Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
join_inner 495 509
13 582.3 1.7 1.0X
join_inner: Comet (Scan) 736 750
14 391.4 2.6 0.7X
join_inner: Comet (Scan, Exec) 1094 1110
22 263.3 3.8 0.5X
```
Native metrics:
```
ProjectionExec: expr=[col_0@4 as col_0, col_1@5 as col_1, col_2@6 as col_2,
col_1@1 as col_3, col_2@2 as col_4, col_3@3 as col_5],
metrics=[output_rows=582202, elapsed_compute=181.746µs]
HashJoinExec: mode=Partitioned, join_type=Inner, on=[(col_0@0, col_0@0)],
metrics=[output_rows=582202, build_input_rows=366, output_batches=370,
build_input_batches=1, input_rows=2894083, input_batches=370,
build_mem_used=15032, build_time=46.427µs, join_time=18.433483ms]
CopyExec, metrics=[output_rows=366, elapsed_compute=9.938µs]
ScanExec: source=[BroadcastExchange (unknown)], schema=[col_0: Int32,
col_1: Int32, col_2: Int32, col_3: Int32], metrics=[output_rows=366,
elapsed_compute=560ns]
CopyExec, metrics=[output_rows=2894083, elapsed_compute=4.801962ms]
FilterExec: col_0@0 IS NOT NULL, metrics=[output_rows=2894083,
elapsed_compute=23.927183ms]
ScanExec: source=[CometScan parquet
spark_catalog.default.store_sales (unknown)], schema=[col_0: Int32, col_1:
Int32, col_2: Int32], metrics=[output_rows=3030375, elapsed_compute=12.800384ms]
```
### Describe the potential solution
_No response_
### Additional context
_No response_
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