andygrove opened a new issue, #1322:
URL: https://github.com/apache/datafusion-comet/issues/1322
### What is the problem the feature request solves?
In `org.apache.spark.sql.comet.CometNativeScanExec#isAdditionallySupported`
we currently return false for Array types, therefore we fall back to Spark's
scan if the Parquet file contains arrays.
I tried modifying this method to return `true` for Arrays as long as the
element type is supported and saw this error:
```
Cannot cast file schema field c13 of type List(Field { name: "element",
data_type: Boolean, nullable: true, dict_id: 0, dict_is_ordered: false,
metadata: {} }) to required schema field of type List(Field { name: "item",
data_type: Boolean, nullable: true, dict_id: 0, dict_is_ordered: false,
metadata: {} })
```
For readability, the `from` and `to` types are:
```
from: List(Field { name: "element", data_type: Boolean, nullable: true,
dict_id: 0, dict_is_ordered: false, metadata: {} }
to: List(Field { name: "item", data_type: Boolean, nullable: true,
dict_id: 0, dict_is_ordered: false, metadata: {} })
```
The field name is different but the type is the same, so the cast should be
supported (and be a no-op).
### Describe the potential solution
_No response_
### Additional context
_No response_
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