Nick: Thanks for both the original JIRA bug report and the link.
Michael: This is on the 1.0.1 release. I'll update to master and follow-up
if I have any problems.
best,
-Brad
On Tue, Aug 5, 2014 at 12:04 PM, Michael Armbrust <mich...@databricks.com>
wrote:
> Is this on 1.0.1? I'd suggest running this on master or the 1.1-RC which
> should be coming out this week. Pyspark did not have good support for
> nested data previously. If you still encounter issues using a more recent
> version, please file a JIRA. Thanks!
>
>
> On Tue, Aug 5, 2014 at 11:55 AM, Brad Miller <bmill...@eecs.berkeley.edu>
> wrote:
>
>> 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)
>>
>
>
