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From Gary Malouf <malouf.g...@gmail.com>
Subject Re: When using spark shell, classpath on workers does not seem to see all of my custom classes
Date Mon, 09 Sep 2013 12:18:37 GMT
Any other checks I should do before filing this as an issue?  I know for my
team it's a significant blocker right now.


On Sun, Sep 8, 2013 at 7:59 PM, Gary Malouf <malouf.gary@gmail.com> wrote:

> Hi Matei,
>
> We are using Spark 0.7.3 on a Mesos cluster.
>
> The logs when I start Spark shell include:
>
> 13/09/08 23:44:17 INFO spark.SparkContext: Added JAR
> /opt/spark/mx-lib/verrazano_2.9.3-0.1-SNAPSHOT-assembly.jar at
> http://10.236.136.202:31658/jars/verrazano_2.9.3-0.1-SNAPSHOT-assembly.jarwith timestamp
1378683857701
>
> I can also confirm that the 'verrazano' jar (my custom one) is in a mesos
> slave temp directory on all of the slave nodes.
>
>
>
>
> On Sun, Sep 8, 2013 at 7:01 PM, Matei Zaharia <matei.zaharia@gmail.com>wrote:
>
>> Which version of Spark is this with? Did the logs print something about
>> sending the JAR you added with ADD_JARS to the cluster?
>>
>> Matei
>>
>> On Sep 8, 2013, at 8:56 AM, Gary Malouf <malouf.gary@gmail.com> wrote:
>>
>> > 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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