cfmcgrady opened a new issue, #2410:
URL: https://github.com/apache/datafusion-comet/issues/2410
### What is the problem the feature request solves?
```
spark.sql("set
spark.sql.optimizer.excludedRules=org.apache.spark.sql.catalyst.optimizer.ConstantFolding")
spark.sql("select array('1', '2', '3')").show
```
current output
```
25/09/17 14:12:39 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
org.apache.comet.CometNativeException: InternalError: Native cast invoked
for unsupported cast from List(Field { name: "item", data_type: Utf8, nullable:
true, dict_id: 0, dict_is_ordered: false, metadata: {} }) to Utf8.
at org.apache.comet.Native.executePlan(Native Method)
at
org.apache.comet.CometExecIterator.$anonfun$getNextBatch$2(CometExecIterator.scala:165)
at
org.apache.comet.CometExecIterator.$anonfun$getNextBatch$2$adapted(CometExecIterator.scala:164)
at org.apache.comet.vector.NativeUtil.getNextBatch(NativeUtil.scala:157)
at
org.apache.comet.CometExecIterator.$anonfun$getNextBatch$1(CometExecIterator.scala:164)
at org.apache.comet.Tracing$.withTrace(Tracing.scala:31)
at
org.apache.comet.CometExecIterator.getNextBatch(CometExecIterator.scala:162)
at
org.apache.comet.CometExecIterator.hasNext(CometExecIterator.scala:213)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.cometcolumnartorow_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:893)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:893)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
at org.apache.spark.scheduler.Task.run(Task.scala:141)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:621)
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:624)
at
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
at
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
at java.base/java.lang.Thread.run(Thread.java:840)
```
expected output
```
+--------------+
|array(1, 2, 3)|
+--------------+
| [1, 2, 3]|
+--------------+
```
### Describe the potential solution
_No response_
### Additional context
_No response_
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