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. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Error-when-Applying-schema-to-a-dictionary-with-a-Tuple-as-key-tp20716.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org