andygrove opened a new issue, #1612:
URL: https://github.com/apache/datafusion-comet/issues/1612
### Describe the bug
I tried testing complex type support from the Spark shell, by setting
`COMET_PARQUET_SCAN_IMPL=native_datafusion` but I could not read a Parquet file
containing structs and arrays.
The error message says "Unsupported schema" which isn't a great user
experience. It would be better if we could show the specific reason why the
schema isn't supported (in this case, I had not enabled
`COMET_SCAN_ALLOW_INCOMPATIBLE`).
```
scala> spark.sql("select * from t1").show
25/04/05 09:36:50 WARN CometSparkSessionExtensions$CometExecRule: Comet
cannot execute some parts of this plan natively (set
spark.comet.explainFallback.enabled=false to disable this logging):
CollectLimit [COMET: CollectLimit is not supported]
+- Project [COMET: Project is not native because the following children are
not native (Scan parquet )]
+- Scan parquet [COMET: Unsupported schema
StructType(StructField(c0,BooleanType,true),StructField(c1,ByteType,true),...
```
### Steps to reproduce
_No response_
### Expected behavior
_No response_
### Additional context
_No response_
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