On Sun, Jan 5, 2014 at 2:28 AM, Aaron Davidson <[email protected]> wrote:
> Additionally, which version of Spark are you running? > 0.8.1. Unfortunately, this doesn't work either: MASTER=local[2] ADD_JARS=/path/to/my/jar SPARK_CLASSPATH=/path/to/my/jar./spark-shell > > > 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? >>>> >>> >>> >> >
