comphead opened a new issue, #1781:
URL: https://github.com/apache/datafusion-comet/issues/1781
> Thanks @parthchandra
>
> however I feel we need to add some more later. the test passed because
>
> ```
> checkSparkAnswer(spark.sql("SELECT map_keys(map1).id2 FROM tbl"))
> ```
>
> and will prob fail for
>
> ```
> checkSparkAnswerAndOperator(spark.sql("SELECT map_keys(map1).id2
FROM tbl"))
> ```
Good point @comphead .
The test cannot use `checkSparkAnswerAndOperator` atm but should eventually.
The plan is not fully native for two reasons -
native_datafusion and native_iceberg_compat do not support DSV2 so the Scan
falls back to Spark
with DSV2 the plan is
```
plan: *(1) Project [map_keys(map1#12).id2 AS map_keys(map1).id2#54]
+- *(1) ColumnarToRow
+- BatchScan parquet
file:/private/var/folders/bz/gg_fqnmj4c17j2c7mdn8ps1m0000gn/T/spark-e0fd616e-7fdc-4d0a-be8a-e6453797e243[map1#12]
ParquetScan DataFilters: [], Format: parquet, Location: InMemoryFileIndex(1
paths)[file:/private/var/folders/bz/gg_fqnmj4c17j2c7mdn8ps1m0000gn/T/spark-e0...,
PartitionFilters: [], PushedAggregation: [], PushedFilters: [], PushedGroupBy:
[], ReadSchema:
struct<map1:map<struct<id2:bigint>,struct<id:bigint,id2:bigint,id3:bigint>>>
RuntimeFilters: []
```
with DSV1 sources, the scan is Native but the Project is not.
```
plan: *(1) Project [map_keys(map1#82).id2 AS map_keys(map1).id2#118]
+- *(1) CometColumnarToRow
+- CometNativeScan parquet [map1#82] Batched: true, DataFilters: [],
Format: CometParquet, Location: InMemoryFileIndex(1
paths)[file:/private/var/folders/bz/gg_fqnmj4c17j2c7mdn8ps1m0000gn/T/spark-d0...,
PartitionFilters: [], PushedFilters: [], ReadSchema:
struct<map1:map<struct<id2:bigint>,struct<id:bigint,id2:bigint,id3:bigint>>>
```
_Originally posted by @parthchandra in
https://github.com/apache/datafusion-comet/issues/1771#issuecomment-2902868329_
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