andygrove opened a new issue, #810:
URL: https://github.com/apache/datafusion-comet/issues/810
### What is the problem the feature request solves?
Comet currently performances poorly with the following query when broadcast
hash joins are disabled and when Comet native shuffle is disabled.
```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 (running aginst sf=100 dataset):
```
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 512 537
35 562.4 1.8 1.0X
join_inner: Comet (Scan) 738 750
13 390.3 2.6 0.7X
join_inner: Comet (Scan, Exec) 4564 4724
226 63.1 15.8 0.1X
```
Sample native plan with metrics:
```
FilterExec: col_0@0 IS NOT NULL AND BloomFilterMightContain
[bloom_filter_expr: Subquery [id: 2851], value_expr: xxhash64(col_0@0, 42)],
metrics=[output_rows=605440, elapsed_compute=85.205965ms]
ScanExec: source=[CometScan parquet spark_catalog.default.store_sales
(unknown)], schema=[col_0: Int32, col_1: Int32, col_2: Int32],
metrics=[output_rows=3145728, elapsed_compute=19.12706ms]
```
### Describe the potential solution
_No response_
### Additional context
_No response_
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