andygrove commented on issue #1737:
URL:
https://github.com/apache/datafusion-comet/issues/1737#issuecomment-2891444222
Some notes from debugging this:
`CometExecRule` performs the following transformation:
```
INPUT: Exchange hashpartitioning(date_id#5283, product_id#5284,
units_sold#5285, store_id#5286, 5), ENSURE_REQUIREMENTS, [plan_id=860]
+- HashAggregate(keys=[date_id#5283, product_id#5284, units_sold#5285,
store_id#5286], functions=[], output=[date_id#5283, product_id#5284,
units_sold#5285, store_id#5286])
+- CometScan parquet
spark_catalog.default.fact_sk[date_id#5283,product_id#5284,units_sold#5285,store_id#5286]
Batched: true, DataFilters: [], Format: CometParquet, Location:
InMemoryFileIndex(25
paths)[file:/Users/andy/git/apache/apache-spark/sql/core/spark-warehouse/org...,
PartitionFilters: [isnotnull(store_id#5286), dynamicpruningexpression(true)],
PushedFilters: [], ReadSchema: struct<date_id:int,product_id:int,units_sold:int>
OUTPUT CometExchange hashpartitioning(date_id#5283, product_id#5284,
units_sold#5285, store_id#5286, 5), ENSURE_REQUIREMENTS, CometNativeShuffle,
[plan_id=870]
+- CometHashAggregate [date_id#5283, product_id#5284, units_sold#5285,
store_id#5286], [date_id#5283, product_id#5284, units_sold#5285, store_id#5286]
+- CometScan parquet
spark_catalog.default.fact_sk[date_id#5283,product_id#5284,units_sold#5285,store_id#5286]
Batched: true, DataFilters: [], Format: CometParquet, Location:
InMemoryFileIndex(25
paths)[file:/Users/andy/git/apache/apache-spark/sql/core/spark-warehouse/org...,
PartitionFilters: [isnotnull(store_id#5286), dynamicpruningexpression(true)],
PushedFilters: [], ReadSchema: struct<date_id:int,product_id:int,units_sold:int>
```
Because the original plan does not support columner, AQE is applying
columnar transition rules when invoking `postStageCreationRules(outputsColumnar
= plan.supportsColumnar)` and this causes `CometColumnarToRow` to get added,
which then gets wrapped in `WholeStageCodegenExec`, at which point AQE fails
because it was expecting an exchange.
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