Accelerate TPC-DS without any fallbacks to Spark

### What is the problem the feature request solves?

- [ ] Comet cannot accelerate Round because: Comet does not support Spark's BigDecimal rounding
- [x] #2552
- [ ] Comet cannot accelerate HashAggregateExec because: Unsupported result expressions found in: Vector(sum(sales_price#4068)#4217 AS sales#4078, sum(return_amt#4204)#4219 AS returns#4080, (sum(profit#4069)#4218 - sum(net_loss#4205)#4220) AS profit#4056, store channel AS channel#4232, concat(store, s_store_id#483) AS id#4233)
- [ ] Comet cannot accelerate ScalarSubquery because: Unsupported data type: StructType(StructField(count(1),LongType,false),StructField(avg(ss_ext_discount_amt),DoubleType,true),StructField(avg(ss_net_profit),DoubleType,true))
- [ ] Comet cannot accelerate ShuffledHashJoinExec because: Unsupported join type ExistenceJoin(exists#5215)
- [x] #2870
- [ ] Comet cannot accelerate LocalTableScanExec because: LocalTableScan is not supported
- [ ] Comet cannot accelerate Cast because: cast(cs_quantity#152 as decimal(12,2)) is not fully compatible with Spark (There can be rounding differences). To enable it anyway, set spark.comet.expression.Cast.allowIncompatible=true, or set spark.comet.expression.allowIncompatible=true to enable all incompatible expressions. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).
- [ ] Comet cannot accelerate Upper because: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.
- [ ] Comet cannot accelerate BroadcastNestedLoopJoinExec because: BroadcastNestedLoopJoin is not supported
25/10/11 14:48:25 WARN CometSparkSessionExtensions: Comet cannot accelerate CartesianProductExec because: CartesianProduct is not supported
- [ ] Comet cannot accelerate WindowGroupLimitExec because: WindowGroupLimit is not supported
- [ ] Comet cannot accelerate Rank because: rank is not supported
- [ ] Comet cannot accelerate WindowExec because: Partitioning and sorting specifications must be the same.
- [ ] Comet cannot accelerate WindowExpression because: aggregate avg(_w0#18760) is not supported for window function
- [ ] Comet cannot accelerate AggregateExpression because: aggregateexpression is not supported
- [ ] Comet cannot accelerate Cast because: cast(d_date#22791 as double) is not fully compatible with Spark (Does not support inputs ending with 'd' or 'f'. Does not support 'inf'. Does not support ANSI mode.). To enable it anyway, set spark.comet.expression.Cast.allowIncompatible=true, or set spark.comet.expression.allowIncompatible=true to enable all incompatible expressions. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).
- [ ] Comet cannot accelerate HashAggregateExec because: Unsupported result expressions found in: Vector(sum(ss_ext_sales_price#595)#26347 AS sales#26199, sum(coalesce(sr_return_amt#551, 0.0))#26350 AS returns#26200, sum((ss_net_profit#602 - coalesce(sr_net_loss#559, 0.0)))#26351 AS profit#26201, store channel AS channel#26359, concat(store, s_store_id#483) AS id#26360)
- [x] #2513

### Describe the potential solution

_No response_

### Additional context

_No response_