I finally managed to get the example working, here are the details that may 
help other users.

I have 2 windows nodes for the test system, PN01 and PN02. Both have the same 
shared drive S: (it is mapped to C:\source on PN02).

If I run the worker and master from S:\spark-1.1.0-bin-hadoop2.4, then running 
simple test fails on the ClassNotFoundException (even if there is only one node 
which hosts both the master and the worker).

If I run the workers and masters from the local drive 
(c:\source\spark-1.1.0-bin-hadoop2.4), then the simple test runs ok (with one 
or two nodes)

I haven’t found why the class fails to load with the shared drive (I checked 
the permissions and they look ok) but at least the cluster is working now.

If anyone has experience getting Spark with windows shared drive, any advice 
welcome !

Thanks,
Benoit.


PS: Yes thanks Angel, I did check that
s:\spark\simple>"%JAVA_HOME%"\bin\jar tvf 
s:\spark\simple\target\scala-2.10\simple-project_2.10-1.0.jar
   299 Thu Nov 20 17:29:40 GMT 2014 META-INF/MANIFEST.MF
  1070 Thu Nov 20 17:29:40 GMT 2014 SimpleApp$$anonfun$2.class
  1350 Thu Nov 20 17:29:40 GMT 2014 SimpleApp$$anonfun$main$1.class
  2581 Thu Nov 20 17:29:40 GMT 2014 SimpleApp$.class
  1070 Thu Nov 20 17:29:40 GMT 2014 SimpleApp$$anonfun$1.class
   710 Thu Nov 20 17:29:40 GMT 2014 SimpleApp.class


From: angel2014 [mailto:angel.alvarez.pas...@gmail.com]
Sent: Friday, November 21, 2014 3:16 AM
To: u...@spark.incubator.apache.org
Subject: Re: ClassNotFoundException in standalone mode

Can you make sure the class "SimpleApp$$anonfun$1" is included in your app jar?

2014-11-20 18:19 GMT+01:00 Benoit Pasquereau [via Apache Spark User List] 
<[hidden email]</user/SendEmail.jtp?type=node&node=19443&i=0>>:
Hi Guys,

I’m having an issue in standalone mode (Spark 1.1, Hadoop 2.4, Windows Server 
2008).

A very simple program runs fine in local mode but fails in standalone mode.

Here is the error:

14/11/20 17:01:53 INFO DAGScheduler: Failed to run count at SimpleApp.scala:22
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to 
stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost 
task
0.3 in stage 0.0 (TID 6, 
UK-RND-PN02.actixhost.eu<http://UK-RND-PN02.actixhost.eu>): 
java.lang.ClassNotFoundException: SimpleApp$$anonfun$1
        java.net.URLClassLoader$1.run(URLClassLoader.java:202)

I have added the jar to the SparkConf() to be on the safe side and it appears 
in standard output (copied after the code):

/* SimpleApp.scala */
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf

import java.net.URLClassLoader

object SimpleApp {
  def main(args: Array[String]) {
    val logFile = "S:\\spark-1.1.0-bin-hadoop2.4\\README.md"
    val conf = new 
SparkConf()//.setJars(Seq("s:\\spark\\simple\\target\\scala-2.10\\simple-project_2.10-1.0.jar"))
     
.setMaster("spark://UK-RND-PN02.actixhost.eu:7077<http://UK-RND-PN02.actixhost.eu:7077>")
     //.setMaster("local[4]")
     .setAppName("Simple Application")
    val sc = new SparkContext(conf)

    val cl = ClassLoader.getSystemClassLoader
    val urls = cl.asInstanceOf[URLClassLoader].getURLs
    urls.foreach(url => println("Executor classpath is:" + url.getFile))

    val logData = sc.textFile(logFile, 2).cache()
    val numAs = logData.filter(line => line.contains("a")).count()
    val numBs = logData.filter(line => line.contains("b")).count()
    println("Lines with a: %s, Lines with b: %s".format(numAs, numBs))
    sc.stop()
  }
}

Simple-project is in the executor classpath list:
14/11/20 17:01:48 INFO SparkDeploySchedulerBackend: SchedulerBackend is ready 
for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
Executor classpath is:/S:/spark/simple/
Executor classpath 
is:/S:/spark/simple/target/scala-2.10/simple-project_2.10-1.0.jar
Executor classpath is:/S:/spark-1.1.0-bin-hadoop2.4/conf/
Executor classpath 
is:/S:/spark-1.1.0-bin-hadoop2.4/lib/spark-assembly-1.1.0-hadoop2.4.0.jar
Executor classpath is:/S:/spark/simple/
Executor classpath 
is:/S:/spark-1.1.0-bin-hadoop2.4/lib/datanucleus-api-jdo-3.2.1.jar
Executor classpath 
is:/S:/spark-1.1.0-bin-hadoop2.4/lib/datanucleus-core-3.2.2.jar
Executor classpath 
is:/S:/spark-1.1.0-bin-hadoop2.4/lib/datanucleus-rdbms-3.2.1.jar
Executor classpath is:/S:/spark/simple/

Would you have any idea how I could investigate further ?

Thanks !
Benoit.


PS: I could attach a debugger to the Worker where the ClassNotFoundException 
happens but it is a bit painful
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