N2.AGT

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  • Re: pyspark yarn got exception
    via by Andrew Or,
    • N2.AGT: org.apache.spark.api.python.PythonException: Traceback (most recent call last): File "/tmp/hadoop/yarn/local/usercache/root/filecache/23/spark-assembly-1.0.1.2.1.3.0-563-hadoop2.4.0.2.1.3.0-563.jar/pyspark/worker.py", line 77, in main serializer.dump_stream(func(split_index, iterator), outfile) File "/tmp/hadoop/yarn/local/usercache/root/filecache/23/spark-assembly-1.0.1.2.1.3.0-563-hadoop2.4.0.2.1.3.0-563.jar/pyspark/serializers.py", line 191, in dump_stream self.serializer.dump_stream(self._batched(iterator), stream) File "/tmp/hadoop/yarn/local/usercache/root/filecache/23/spark-assembly-1.0.1.2.1.3.0-563-hadoop2.4.0.2.1.3.0-563.jar/pyspark/serializers.py", line 123, in dump_stream for obj in iterator: File "/tmp/hadoop/yarn/local/usercache/root/filecache/23/spark-assembly-1.0.1.2.1.3.0-563-hadoop2.4.0.2.1.3.0-563.jar/pyspark/serializers.py", line 180, in _batched for item in iterator: File "/root/spark-1.0.1.2.1.3.0-563-bin-2.4.0.2.1.3.0-563/python/pyspark/rdd.py", line 612, in func File "/root/spark-1.0.1.2.1.3.0-563-bin-2.4.0.2.1.3.0-563/examples/src/main/python/pi.py", line 36, in f SystemError: unknown opcode org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:115) org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:145) org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:78) org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) org.apache.spark.rdd.RDD.iterator(RDD.scala:229) org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111) org.apache.spark.scheduler.Task.run(Task.scala:51) org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:183) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) java.lang.Thread.run(Thread.java:744) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1044) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1028) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1026) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1026) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:634) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:634) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:634) at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1229) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
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