Databricks Community

zsh24 · Thursday

I have a failing pipeline which results in the following failure:

org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2053.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2053.0 (TID 4594) (10.171.199.129 executor 0): org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)

at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handleExceptionUnderIsolation(PythonRunner.scala:596)

at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:607)

at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:600)

at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38)

at org.apache.spark.sql.execution.python.BasePythonUDFRunner$$anon$2.read(PythonUDFRunner.scala:120)

at org.apache.spark.sql.execution.python.BasePythonUDFRunner$$anon$2.read(PythonUDFRunner.scala:98)

at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:507)

at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)

at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)

at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)

at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage4.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:50)

at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)

at org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:195)

at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:56)

at org.apache.spark.scheduler.ShuffleMapTask.$anonfun$runTask$3(ShuffleMapTask.scala:92)

at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)

at org.apache.spark.scheduler.ShuffleMapTask.$anonfun$runTask$1(ShuffleMapTask.scala:87)

at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)

at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:58)

at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:39)

at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:211)

at org.apache.spark.scheduler.Task.doRunTask(Task.scala:199)

at org.apache.spark.scheduler.Task.$anonfun$run$5(Task.scala:161)

at com.databricks.unity.UCSEphemeralState$Handle.runWith(UCSEphemeralState.scala:51)

at com.databricks.unity.HandleImpl.runWith(UCSHandle.scala:104)

at com.databricks.unity.HandleImpl.$anonfun$runWithAndClose$1(UCSHandle.scala:109)

at scala.util.Using$.resource(Using.scala:269)

at com.databricks.unity.HandleImpl.runWithAndClose(UCSHandle.scala:108)

at org.apache.spark.scheduler.Task.$anonfun$run$1(Task.scala:155)

at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)

at org.apache.spark.scheduler.Task.run(Task.scala:102)

at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$10(Executor.scala:1036)

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:110)

at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:1039)

at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)

at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)

at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:926)

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.io.IOException: Connection reset by peer

at sun.nio.ch.FileDispatcherImpl.write0(Native Method)

at sun.nio.ch.SocketDispatcher.write(SocketDispatcher.java:47)

at sun.nio.ch.IOUtil.writeFromNativeBuffer(IOUtil.java:93)

at sun.nio.ch.IOUtil.write(IOUtil.java:51)

at sun.nio.ch.SocketChannelImpl.write(SocketChannelImpl.java:470)

at org.apache.spark.api.python.BasePythonRunner$ReaderInputStream.writeAdditionalInputToPythonWorker(PythonRunner.scala:859)

at org.apache.spark.api.python.BasePythonRunner$ReaderInputStream.read(PythonRunner.scala:755)

at java.io.BufferedInputStream.fill(BufferedInputStream.java:246)

at java.io.BufferedInputStream.read(BufferedInputStream.java:265)

at java.io.DataInputStream.readInt(DataInputStream.java:387)

at org.apache.spark.sql.execution.python.BasePythonUDFRunner$$anon$2.read(PythonUDFRunner.scala:106)

... 41 more

Driver stacktrace:

at org.apache.spark.scheduler.DAGScheduler.$anonfun$failJobAndIndependentStages$1(DAGScheduler.scala:3998)

at scala.Option.getOrElse(Option.scala:189)

at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:3996)

at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:3910)

at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:3897)

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:3897)

at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1758)

at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1741)

at scala.Option.foreach(Option.scala:407)

at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1741)

at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:4256)

at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:4159)

at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:4145)

at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:55)

org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)