Hi All,
I am interested to use jsonRDD and jsonFile to create a SchemaRDD out of
some JSON data I have, but I've run into some instability involving the
following java exception:
An error occurred while calling o1326.collect.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task
181.0:29 failed 4 times, most recent failure: Exception failure in TID 1664
on host neal.research.intel-research.net:
net.razorvine.pickle.PickleException: couldn't introspect javabean:
java.lang.IllegalArgumentException: wrong number of arguments
I've pasted code which produces the error as well as the full traceback
below. Note that I don't have any problem when I parse the JSON myself and
use inferSchema.
Is anybody able to reproduce this bug?
-Brad
> srdd = sqlCtx.jsonRDD(sc.parallelize(['{"foo":"bar", "baz":[1,2,3]}',
'{"foo":"boom", "baz":[1,2,3]}']))
> srdd.printSchema()
root
|-- baz: ArrayType[IntegerType]
|-- foo: StringType
> srdd.collect()
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-89-ec7e8e8c68c4> in <module>()
----> 1 srdd.collect()
/home/spark/spark-1.0.1-bin-hadoop1/python/pyspark/rdd.py in collect(self)
581 """
582 with _JavaStackTrace(self.context) as st:
--> 583 bytesInJava = self._jrdd.collect().iterator()
584 return
list(self._collect_iterator_through_file(bytesInJava))
585
/usr/local/lib/python2.7/dist-packages/py4j/java_gateway.pyc in
__call__(self, *args)
535 answer = self.gateway_client.send_command(command)
536 return_value = get_return_value(answer, self.gateway_client,
--> 537 self.target_id, self.name)
538
539 for temp_arg in temp_args:
/usr/local/lib/python2.7/dist-packages/py4j/protocol.pyc in
get_return_value(answer, gateway_client, target_id, name)
298 raise Py4JJavaError(
299 'An error occurred while calling {0}{1}{2}.\n'.
--> 300 format(target_id, '.', name), value)
301 else:
302 raise Py4JError(
Py4JJavaError: An error occurred while calling o1326.collect.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task
181.0:29 failed 4 times, most recent failure: Exception failure in TID 1664
on host neal.research.intel-research.net:
net.razorvine.pickle.PickleException: couldn't introspect javabean:
java.lang.IllegalArgumentException: wrong number of arguments
net.razorvine.pickle.Pickler.put_javabean(Pickler.java:603)
net.razorvine.pickle.Pickler.dispatch(Pickler.java:299)
net.razorvine.pickle.Pickler.save(Pickler.java:125)
net.razorvine.pickle.Pickler.put_map(Pickler.java:322)
net.razorvine.pickle.Pickler.dispatch(Pickler.java:286)
net.razorvine.pickle.Pickler.save(Pickler.java:125)
net.razorvine.pickle.Pickler.put_arrayOfObjects(Pickler.java:392)
net.razorvine.pickle.Pickler.dispatch(Pickler.java:195)
net.razorvine.pickle.Pickler.save(Pickler.java:125)
net.razorvine.pickle.Pickler.dump(Pickler.java:95)
net.razorvine.pickle.Pickler.dumps(Pickler.java:80)
org.apache.spark.sql.SchemaRDD$anonfun$javaToPython$1$anonfun$apply$3.apply(SchemaRDD.scala:385)
org.apache.spark.sql.SchemaRDD$anonfun$javaToPython$1$anonfun$apply$3.apply(SchemaRDD.scala:385)
scala.collection.Iterator$anon$11.next(Iterator.scala:328)
org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:294)
org.apache.spark.api.python.PythonRDD$WriterThread$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:200)
org.apache.spark.api.python.PythonRDD$WriterThread$anonfun$run$1.apply(PythonRDD.scala:175)
org.apache.spark.api.python.PythonRDD$WriterThread$anonfun$run$1.apply(PythonRDD.scala:175)
org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1160)
org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:174)
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)
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)
