Additionally, which version of Spark are you running?
On Sat, Jan 4, 2014 at 6:27 PM, Aaron Davidson <[email protected]> wrote: > I am not an expert on these classpath issues, but if you're using local > mode, you might also try to set SPARK_CLASSPATH to include the path to the > jar file as well. This should not really help, since "adding jars" is the > right way to get the jars to your executors (which is where the exception > appears to be happening), but it would sure be interesting if it did. > > > On Sat, Jan 4, 2014 at 4:50 PM, Aureliano Buendia <[email protected]>wrote: > >> I should add that I can see in the log that the jar being shipped to the >> workers: >> >> 14/01/04 15:34:52 INFO Executor: Fetching >> http://192.168.1.111:51031/jars/my.jar.jar with timestamp 1388881979092 >> 14/01/04 15:34:52 INFO Utils: Fetching >> http://192.168.1.111:51031/jars/my.jar.jar to >> /var/folders/3g/jyx81ctj3698wbvphxhm4dw40000gn/T/fetchFileTemp8322008964976744710.tmp >> 14/01/04 15:34:53 INFO Executor: Adding >> file:/var/folders/3g/jyx81ctj3698wbvphxhm4dw40000gn/T/spark-d8ac8f66-fad6-4b3f-8059-73f13b86b070/my.jar.jar >> to class loader >> >> >> On Sun, Jan 5, 2014 at 12:46 AM, Aureliano Buendia >> <[email protected]>wrote: >> >>> Hi, >>> >>> I'm trying to access my stand alone spark app from spark-shell. I tried >>> starting the shell by: >>> >>> MASTER=local[2] ADD_JARS=/path/to/my/jar ./spark-shell >>> >>> The log shows that the jar file was loaded. Also, I can access and >>> create a new instance of mypackage.MyClass. >>> >>> The problem is that myRDD.collect() returns RDD[MyClass], and that >>> throws this exception: >>> >>> java.lang.ClassNotFoundException: mypackage.MyClass >>> at java.net.URLClassLoader$1.run(URLClassLoader.java:366) >>> at java.net.URLClassLoader$1.run(URLClassLoader.java:355) >>> at java.security.AccessController.doPrivileged(Native Method) >>> at java.net.URLClassLoader.findClass(URLClassLoader.java:354) >>> at java.lang.ClassLoader.loadClass(ClassLoader.java:423) >>> at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308) >>> at java.lang.ClassLoader.loadClass(ClassLoader.java:356) >>> at java.lang.Class.forName0(Native Method) >>> at java.lang.Class.forName(Class.java:264) >>> at java.io.ObjectInputStream.resolveClass(ObjectInputStream.java:622) >>> at >>> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1593) >>> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1514) >>> at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1642) >>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1341) >>> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:369) >>> at org.apache.spark.util.Utils$.deserialize(Utils.scala:59) >>> at >>> org.apache.spark.SparkContext$$anonfun$objectFile$1.apply(SparkContext.scala:573) >>> at >>> org.apache.spark.SparkContext$$anonfun$objectFile$1.apply(SparkContext.scala:573) >>> at scala.collection.Iterator$$anon$21.hasNext(Iterator.scala:440) >>> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:702) >>> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:698) >>> at >>> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:872) >>> at >>> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:872) >>> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:107) >>> at org.apache.spark.scheduler.Task.run(Task.scala:53) >>> at >>> org.apache.spark.executor.Executor$TaskRunner$$anonfun$run$1.apply$mcV$sp(Executor.scala:215) >>> at >>> org.apache.spark.deploy.SparkHadoopUtil.runAsUser(SparkHadoopUtil.scala:50) >>> at >>> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:182) >>> at >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110) >>> at >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603) >>> at java.lang.Thread.run(Thread.java:722) >>> >>> Does this mean that my jar was not shipped to the workers? Is this a >>> known issue, or am I doing something wrong here? >>> >> >> >
