Sure thing, this is the stacktrace from pyspark. It's repeated a few times,
but I think this is the unique stuff.
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File
"/opt/cloudera/parcels/CDH-5.1.0-1.cdh5.1.0.p0.53/lib/spark/python/pyspark/rdd.py",
line 583, in collect
bytesInJava = self._jrdd.collect().iterator()
File
"/opt/cloudera/parcels/CDH-5.1.0-1.cdh5.1.0.p0.53/lib/spark/python/lib/py4j-0.8.1-src.zip/py4j/java_gateway.py",
line 537, in __call__
File
"/opt/cloudera/parcels/CDH-5.1.0-1.cdh5.1.0.p0.53/lib/spark/python/lib/py4j-0.8.1-src.zip/py4j/protocol.py",
line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o24.collect.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task
0.0:0 failed 4 times, most recent failure: Exception failure in TID 5 on
host [hostname redacted]: org.apache.spark.api.python.PythonException:
Traceback (most recent call last):
File
"/opt/cloudera/parcels/CDH-5.1.0-1.cdh5.1.0.p0.53/lib/spark/python/pyspark/worker.py",
line 77, in main
serializer.dump_stream(func(split_index, iterator), outfile)
File
"/opt/cloudera/parcels/CDH-5.1.0-1.cdh5.1.0.p0.53/lib/spark/python/pyspark/serializers.py",
line 191, in dump_stream
self.serializer.dump_stream(self._batched(iterator), stream)
File
"/opt/cloudera/parcels/CDH-5.1.0-1.cdh5.1.0.p0.53/lib/spark/python/pyspark/serializers.py",
line 123, in dump_stream
for obj in iterator:
File
"/opt/cloudera/parcels/CDH-5.1.0-1.cdh5.1.0.p0.53/lib/spark/python/pyspark/serializers.py",
line 180, in _batched
for item in iterator:
File "<stdin>", line 1, in <lambda>
TypeError: 'bool' object is not callable
org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:118)
org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:148)
org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:81)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
org.apache.spark.scheduler.Task.run(Task.scala:51)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at
scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Python-script-runs-fine-in-local-mode-errors-in-other-modes-tp12390p12392.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
