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) ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
