comphead commented on code in PR #1667:
URL: https://github.com/apache/datafusion-comet/pull/1667#discussion_r2054587262


##########
spark/src/main/scala/org/apache/comet/CometSparkSessionExtensions.scala:
##########
@@ -161,10 +161,28 @@ class CometSparkSessionExtensions
           }
 
           if (!schemaSupported) {
-            fallbackReasons += s"Unsupported schema ${scanExec.requiredSchema} 
for $scanImpl"
+            val field: Option[StructField] =
+              CometNativeScanExec
+                .findUnsupportedField(scanExec.requiredSchema)
+                
.orElse(CometScanExec.findUnsupportedField(scanExec.requiredSchema))
+            assert(field.nonEmpty)
+            fallbackReasons +=
+              s"Unsupported field ${field.get} in schema 
${scanExec.requiredSchema} for $scanImpl"

Review Comment:
   Field sounds good to me, but now I'm wondering how it may look like if 
unsupported datatype like BYTE is deep nested field? 



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