The error is very strange indeed, however without code that reproduces it, we can't really provide much help beyond speculation.
One thing that stood out to me immediately is that you say you have an RDD of Any where every Any should be a BigDecimal, so why not specify that type information? When using Any, a whole class of errors, that normally the typechecker could catch, can slip through. On Thu, Mar 17, 2016 at 10:25 AM, Dirceu Semighini Filho <dirceu.semigh...@gmail.com> wrote: > Hi Ted, thanks for answering. > The map is just that, whenever I try inside the map it throws this > ClassNotFoundException, even if I do map(f => f) it throws the exception. > What is bothering me is that when I do a take or a first it returns the > result, which make me conclude that the previous code isn't wrong. > > Kind Regards, > Dirceu > > > 2016-03-17 12:50 GMT-03:00 Ted Yu <yuzhih...@gmail.com>: >> >> bq. $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1 >> >> Do you mind showing more of your code involving the map() ? >> >> On Thu, Mar 17, 2016 at 8:32 AM, Dirceu Semighini Filho >> <dirceu.semigh...@gmail.com> wrote: >>> >>> Hello, >>> I found a strange behavior after executing a prediction with MLIB. >>> My code return an RDD[(Any,Double)] where Any is the id of my dataset, >>> which is BigDecimal, and Double is the prediction for that line. >>> When I run >>> myRdd.take(10) it returns ok >>> res16: Array[_ >: (Double, Double) <: (Any, Double)] = >>> Array((1921821857196754403.000000000000000000,0.1690292052496703), >>> (4545756323742222427.000000000000000000,0.16902820241892452), >>> (989198096568001939.000000000000000000,0.16903432789699502), >>> (14284129652106187990.000000000000000000,0.16903517653451386), >>> (17980228074225252497.000000000000000000,0.16903151028332508), >>> (3861345958263692781.000000000000000000,0.16903056986183976), >>> (17558198701997383205.000000000000000000,0.1690295450319745), >>> (10651576092054552310.000000000000000000,0.1690286445174418), >>> (4534494349035056215.000000000000000000,0.16903303401862327), >>> (5551671513234217935.000000000000000000,0.16902303368995966)) >>> But when I try to run some map on it: >>> myRdd.map(_._1).take(10) >>> It throws a ClassCastException: >>> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 >>> in stage 72.0 failed 4 times, most recent failure: Lost task 0.3 in stage >>> 72.0 (TID 1774, 172.31.23.208): java.lang.ClassNotFoundException: >>> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1 >>> at java.net.URLClassLoader$1.run(URLClassLoader.java:366) >>> at java.net.URLClassLoader$1.run(URLClassLoader.java:355) >>> at java.security.AccessController.doPrivileged(Native Method) >>> at java.net.URLClassLoader.findClass(URLClassLoader.java:354) >>> at java.lang.ClassLoader.loadClass(ClassLoader.java:425) >>> at java.lang.ClassLoader.loadClass(ClassLoader.java:358) >>> at java.lang.Class.forName0(Native Method) >>> at java.lang.Class.forName(Class.java:278) >>> at >>> org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67) >>> at >>> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1612) >>> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1517) >>> at >>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1771) >>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) >>> at >>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1997) >>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1921) >>> at >>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) >>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) >>> at >>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1997) >>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1921) >>> at >>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) >>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) >>> at >>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1997) >>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1921) >>> at >>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) >>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) >>> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) >>> at >>> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72) >>> at >>> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98) >>> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61) >>> at org.apache.spark.scheduler.Task.run(Task.scala:88) >>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) >>> at >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >>> at >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >>> at java.lang.Thread.run(Thread.java:745) >>> Driver stacktrace: >>> at >>> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270) >>> at >>> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >>> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) >>> at >>> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) >>> at scala.Option.foreach(Option.scala:236) >>> at >>> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) >>> at >>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496) >>> at >>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458) >>> at >>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447) >>> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) >>> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) >>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824) >>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837) >>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1850) >>> at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1302) >>> at >>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) >>> at >>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) >>> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310) >>> at org.apache.spark.rdd.RDD.take(RDD.scala:1276) >>> at org.apache.spark.rdd.RDD$$anonfun$first$1.apply(RDD.scala:1316) >>> at >>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) >>> at >>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) >>> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310) >>> at org.apache.spark.rdd.RDD.first(RDD.scala:1315) >>> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:34) >>> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:39) >>> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:41) >>> at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:43) >>> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:45) >>> at $iwC$$iwC$$iwC.<init>(<console>:47) >>> at $iwC$$iwC.<init>(<console>:49) >>> at $iwC.<init>(<console>:51) >>> at <init>(<console>:53) >>> at .<init>(<console>:57) >>> at .<clinit>(<console>) >>> at .<init>(<console>:7) >>> at .<clinit>(<console>) >>> at $print(<console>) >>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >>> at >>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) >>> at >>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>> at java.lang.reflect.Method.invoke(Method.java:497) >>> at >>> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065) >>> at >>> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340) >>> at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840) >>> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871) >>> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819) >>> at >>> org.apache.zeppelin.spark.IUberSparkInterpreter.interpretInput(IUberSparkInterpreter.java:865) >>> at >>> org.apache.zeppelin.spark.IUberSparkInterpreter.interpret(IUberSparkInterpreter.java:830) >>> at >>> org.apache.zeppelin.spark.IUberSparkInterpreter.interpret(IUberSparkInterpreter.java:818) >>> at >>> org.apache.zeppelin.interpreter.ClassloaderInterpreter.interpret(ClassloaderInterpreter.java:57) >>> at >>> org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93) >>> at >>> org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:331) >>> at org.apache.zeppelin.scheduler.Job.run(Job.java:171) >>> at >>> org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:139) >>> at >>> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) >>> at java.util.concurrent.FutureTask.run(FutureTask.java:266) >>> at >>> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180) >>> at >>> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) >>> at >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) >>> at >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) >>> at java.lang.Thread.run(Thread.java:745) >>> Caused by: java.lang.ClassNotFoundException: >>> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1 >>> at java.net.URLClassLoader$1.run(URLClassLoader.java:366) >>> at java.net.URLClassLoader$1.run(URLClassLoader.java:355) >>> at java.security.AccessController.doPrivileged(Native Method) >>> at java.net.URLClassLoader.findClass(URLClassLoader.java:354) >>> at java.lang.ClassLoader.loadClass(ClassLoader.java:425) >>> at java.lang.ClassLoader.loadClass(ClassLoader.java:358) >>> at java.lang.Class.forName0(Native Method) >>> at java.lang.Class.forName(Class.java:278) >>> at >>> org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67) >>> at >>> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1612) >>> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1517) >>> at >>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1771) >>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) >>> at >>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1997) >>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1921) >>> at >>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) >>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) >>> at >>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1997) >>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1921) >>> at >>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) >>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) >>> at >>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1997) >>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1921) >>> at >>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) >>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) >>> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) >>> at >>> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72) >>> at >>> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98) >>> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61) >>> at org.apache.spark.scheduler.Task.run(Task.scala:88) >>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) >>> at >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >>> at >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >>> ... 1 more >>> >>> I'm using spark 1.5.2 compiled with hadoop 2.6. >>> Does anybody know how to avoid this exception? >>> >>> Kind Regards, >>> Dirceu >> >> > 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