Orc Sacn RuntimeException

[ASiegeLion]

24/10/22 14:20:29 ERROR Executor: Exception in task 29.0 in stage 1.0 (TID 42)
java.lang.RuntimeException: [partition=29] poll record batch error: Execution error: [partition=29] native execution panics: Execution error: Execution error: Execution error: output_with_sender[Generate] error: Execution error: output_with_sender[Generate] error: Execution error: output_with_sender[Generate] error: Execution error: output_with_sender[Generate]: output() returns error: generate: polling batches from input error
caused by
Execution error: Execution error: output_with_sender[OrcScan] error: Execution error: output_with_sender[OrcScan]: output() returns error: Arrow error: External error: Execution error: schema_adapter_cast_column unsupported type: Utf8 => List(Field { name: "item", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} })
at org.apache.spark.sql.blaze.JniBridge.nextBatch(Native Method)
at org.apache.spark.sql.blaze.BlazeCallNativeWrapper$$anon$1.hasNext(BlazeCallNativeWrapper.scala:80)
at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:225)
at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$.$anonfun$prepareShuffleDependency$10(ShuffleExchangeExec.scala:376)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1491)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)