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From Gary Malouf <malouf.g...@gmail.com>
Subject When using spark shell, classpath on workers does not seem to see all of my custom classes
Date Sun, 08 Sep 2013 15:56:41 GMT
I built a custom jar with among other things, nscalatime and joda time
packed inside of it.  Using the ADD_JARS variable, I have added this super
jar to my classpath on the scheduler when running spark-shell.  I wrote a
function that grabs protobuf data, filters and then maps each message to a
(LocalDate, Option[String]) format.  Unfortunately, this does not run and I
get the following:

13/09/08 15:50:43 INFO cluster.TaskSetManager: Finished TID 6 in 348 ms
(progress: 7/576)
Exception in thread "Thread-159" java.lang.ClassNotFoundException:
org.joda.time.LocalDate
    at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
    at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
    at java.security.AccessController.doPrivileged(Native Method)
    at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
    at
scala.tools.nsc.util.ScalaClassLoader$URLClassLoader.scala$tools$nsc$util$ScalaClassLoader$$super$findClass(ScalaClassLoader.scala:88)
    at
scala.tools.nsc.util.ScalaClassLoader$class.findClass(ScalaClassLoader.scala:44)
    at
scala.tools.nsc.util.ScalaClassLoader$URLClassLoader.findClass(ScalaClassLoader.scala:88)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:423)
    at
scala.tools.nsc.util.ScalaClassLoader$URLClassLoader.scala$tools$nsc$util$ScalaClassLoader$$super$loadClass(ScalaClassLoader.scala:88)
    at
scala.tools.nsc.util.ScalaClassLoader$class.loadClass(ScalaClassLoader.scala:50)
    at
scala.tools.nsc.util.ScalaClassLoader$URLClassLoader.loadClass(ScalaClassLoader.scala:88)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:356)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:266)
    at
spark.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:20)
    at
java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1610)
    at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1515)
    at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1769)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1348)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
    at
it.unimi.dsi.fastutil.objects.Object2LongOpenHashMap.readObject(Object2LongOpenHashMap.java:757)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:601)
    at
java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1004)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1891)
    at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1796)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1348)
    at
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1989)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1913)
    at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1796)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1348)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
    at spark.scheduler.TaskResult.readExternal(TaskResult.scala:26)
    at
java.io.ObjectInputStream.readExternalData(ObjectInputStream.java:1835)
    at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1794)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1348)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
    at spark.JavaDeserializationStream.readObject(JavaSerializer.scala:23)
    at spark.JavaSerializerInstance.deserialize(JavaSerializer.scala:45)
    at
spark.scheduler.cluster.TaskSetManager.taskFinished(TaskSetManager.scala:261)
    at
spark.scheduler.cluster.TaskSetManager.statusUpdate(TaskSetManager.scala:236)
    at
spark.scheduler.cluster.ClusterScheduler.statusUpdate(ClusterScheduler.scala:219)
    at
spark.scheduler.mesos.MesosSchedulerBackend.statusUpdate(MesosSchedulerBackend.scala:264)
13/09/08 15:50:43 INFO mesos.MesosSchedulerBackend: driver.run() returned
with code DRIVER_ABORTED


The code definitely compiles in the interpreter and the executors seem to
find the protobuf messages which are in the same jar - any idea what could
be causing the problem?

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