xumingming commented on issue #1688:
URL: https://github.com/apache/auron/issues/1688#issuecomment-3636194292

   @surjikal Something like this:
   
   ```
   Driver stacktrace:
   org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in 
stage 103.0 failed 1 times, most recent failure: Lost task 0.0 in stage 103.0 
(TID 111) (10.147.100.59 executor driver): java.lang.RuntimeException: 
java.lang.RuntimeException: task panics: Execution error: Execution error: 
output_with_sender[Project] error: Execution error: 
output_with_sender[Project]: output() returns error: Internal error: could not 
cast array of type Int32 to 
arrow_array::array::primitive_array::PrimitiveArray<arrow_array::types::Int64Type>.
   This issue was likely caused by a bug in DataFusion's code. Please help us 
to resolve this by filing a bug report in our issue tracker: 
https://github.com/apache/datafusion/issues
        at 
org.apache.auron.jni.AuronCallNativeWrapper.checkError(AuronCallNativeWrapper.java:171)
        at 
org.apache.auron.jni.AuronCallNativeWrapper.loadNextBatch(AuronCallNativeWrapper.java:114)
        at 
org.apache.spark.sql.auron.NativeHelper$$anon$1.hasNext(NativeHelper.scala:132)
        at 
org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
        at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
        at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
        at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1931)
        at org.apache.spark.rdd.RDD.$anonfun$count$1(RDD.scala:1274)
        at org.apache.spark.rdd.RDD.$anonfun$count$1$adapted(RDD.scala:1274)
        at 
org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2278)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
        at org.apache.spark.scheduler.Task.run(Task.scala:136)
        at 
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:750)
   Caused by: java.lang.RuntimeException: task panics: Execution error: 
Execution error: output_with_sender[Project] error: Execution error: 
output_with_sender[Project]: output() returns error: Internal error: could not 
cast array of type Int32 to 
arrow_array::array::primitive_array::PrimitiveArray<arrow_array::types::Int64Type>.
   This issue was likely caused by a bug in DataFusion's code. Please help us 
to resolve this by filing a bug report in our issue tracker: 
https://github.com/apache/datafusion/issues
   
   Driver stacktrace:
        at 
org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2668)
        at 
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2604)
        at 
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2603)
        at 
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
        at 
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
        at 
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2603)
        at 
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1178)
        at 
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1178)
        at scala.Option.foreach(Option.scala:407)
   ```


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