Hi Guys,

Im running a spark cluster in AWS with Spark 1.1.0 in EC2

I am trying to convert a an RDD with tuple 

(u'string', int , {(int, int): int, (int, int): int})

to a schema rdd using the schema:

fields = [StructField('field1',StringType(),True),
                StructField('field2',IntegerType(),True),
        
StructField('field3',MapType(StructType([StructField('field31',IntegerType(),True),
                        
StructField('field32',IntegerType(),True)]),IntegerType(),True),True)
                ]

schema = StructType(fields)
# generate the schemaRDD with the defined schema 
schemaRDD = sqc.applySchema(RDD, schema)

But when I add "field3" to the schema, it throws an execption: 

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/root/spark/python/pyspark/rdd.py", line 1153, in take
    res = self.context.runJob(self, takeUpToNumLeft, p, True)
  File "/root/spark/python/pyspark/context.py", line 770, in runJob
    it = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd,
javaPartitions, allowLocal)
  File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
  File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line
300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling
z:org.apache.spark.api.python.PythonRDD.runJob.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
in stage 28.0 failed 4 times, most recent failure: Lost task 0.3 in stage
28.0 (TID 710, ip-172-31-29-120.ec2.internal):
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:321)
        net.razorvine.pickle.Pickler.dispatch(Pickler.java:286)
        net.razorvine.pickle.Pickler.save(Pickler.java:125)
        net.razorvine.pickle.Pickler.put_arrayOfObjects(Pickler.java:412)
        net.razorvine.pickle.Pickler.dispatch(Pickler.java:195)
        net.razorvine.pickle.Pickler.save(Pickler.java:125)
        net.razorvine.pickle.Pickler.put_arrayOfObjects(Pickler.java:412)
        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$2.apply(SchemaRDD.scala:417)
       
org.apache.spark.sql.SchemaRDD$$anonfun$javaToPython$1$$anonfun$apply$2.apply(SchemaRDD.scala:417)
        scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
       
org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:331)
       
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:209)
       
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184)
       
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184)
        org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1311)
       
org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:183)
Driver stacktrace:
        at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1174)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1173)
        at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
        at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1173)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)
        at scala.Option.foreach(Option.scala:236)
        at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:688)
        at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1391)
        at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
        at akka.actor.ActorCell.invoke(ActorCell.scala:456)
        at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
        at akka.dispatch.Mailbox.run(Mailbox.scala:219)
        at
akka.dispatch.ForkJoinExecutorConfigurator$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)

Can Anybody help me resolve this issue please.. Help is very much
appreciated. 



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