将 scala 应用程序提交到独立 Spark 集群时出现 java.lang.ClassNotFoundException

Question

我正在尝试将 Spark 集群与仅依赖于 scala 2.11(代码在 scala 中)、spark 2.1.0 和 java 8 的应用程序一起使用。

我的集群由 2 个节点和 1 个主节点组成，每个节点都在具有相同名称 (spark) 和相同操作系统 (Ubuntu 16.04.2 LTS) 的帐户上的同一位置获得所有依赖项(jar)、项目文件)。

我尝试在 IntelliJIdea 中运行的代码:

import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.graphx._

object Main extends App {

val sparkConf = new SparkConf()
          .setAppName("Application")
          .setMaster("spark://<IP-Address-Master>:7077")
val sparkContext = new SparkContext(sparkConf)
sparkContext.setLogLevel("ERROR")

val NB_VERTICES = 50 // vertices count (TO ADAPT)
val DENSITY = 50 // graph density (TO ADAPT)

var graph = generateGraph(NB_VERTICES, sparkContext, DENSITY)// graph generation based on vertices number and density

var hasChanged = true // boolean to loop over

while(hasChanged){
  previousGraph = graph // Save previous graph
  graph = execute(graph, 1) // Execute 1 iteration of our algorithm
  hasChanged = hasGraphChanged(previousGraph, graph) // Verify if it has changed, if it's false we break out of the loop
      }    
}

精度:我没有添加“generateGraph”等函数，因为我认为这会使帖子太长。但重要的是要知道:此代码在本地而不是集群中运行时可以完美运行。它仅依赖于 Spark graphX、scala 和 java。

因此，当我的集群启动并运行时(每个工作线程都在 Web UI 上注册并可见)，我尝试运行此应用程序，但收到以下错误:

17/06/08 16:05:00 INFO SparkContext: Running Spark version 2.1.0
17/06/08 16:05:01 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/06/08 16:05:01 WARN Utils: Your hostname, workstation resolves to a loopback address: 127.0.1.1; using 172.16.24.203 instead (on interface enx28f10e4fec2a)
17/06/08 16:05:01 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
17/06/08 16:05:01 INFO SecurityManager: Changing view acls to: spark
17/06/08 16:05:01 INFO SecurityManager: Changing modify acls to: spark
17/06/08 16:05:01 INFO SecurityManager: Changing view acls groups to: 
17/06/08 16:05:01 INFO SecurityManager: Changing modify acls groups to: 
17/06/08 16:05:01 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(spark); groups with view permissions: Set(); users  with modify permissions: Set(spark); groups with modify permissions: Set()
17/06/08 16:05:02 INFO Utils: Successfully started service 'sparkDriver' on port 42652.
17/06/08 16:05:02 INFO SparkEnv: Registering MapOutputTracker
17/06/08 16:05:02 INFO SparkEnv: Registering BlockManagerMaster
17/06/08 16:05:02 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
17/06/08 16:05:02 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
17/06/08 16:05:02 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-fe269631-606f-4e03-a75a-82809f4dce2d
17/06/08 16:05:02 INFO MemoryStore: MemoryStore started with capacity 869.7 MB
17/06/08 16:05:02 INFO SparkEnv: Registering OutputCommitCoordinator
17/06/08 16:05:02 INFO Utils: Successfully started service 'SparkUI' on port 4040.
17/06/08 16:05:02 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://172.16.24.203:4040
17/06/08 16:05:02 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark://172.16.24.203:7077...
17/06/08 16:05:03 INFO TransportClientFactory: Successfully created connection to /172.16.24.203:7077 after 50 ms (0 ms spent in bootstraps)
17/06/08 16:05:03 INFO StandaloneSchedulerBackend: Connected to Spark cluster with app ID app-20170608160503-0000
17/06/08 16:05:03 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 42106.
17/06/08 16:05:03 INFO NettyBlockTransferService: Server created on 172.16.24.203:42106
17/06/08 16:05:03 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
17/06/08 16:05:03 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 172.16.24.203, 42106, None)
17/06/08 16:05:03 INFO BlockManagerMasterEndpoint: Registering block manager 172.16.24.203:42106 with 869.7 MB RAM, BlockManagerId(driver, 172.16.24.203, 42106, None)
17/06/08 16:05:03 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 172.16.24.203, 42106, None)
17/06/08 16:05:03 INFO StandaloneAppClient$ClientEndpoint: Executor added: app-20170608160503-0000/0 on worker-20170608145510-172.16.24.196-41159 (172.16.24.196:41159) with 8 cores
17/06/08 16:05:03 INFO StandaloneSchedulerBackend: Granted executor ID app-20170608160503-0000/0 on hostPort 172.16.24.196:41159 with 8 cores, 1024.0 MB RAM
17/06/08 16:05:03 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, 172.16.24.203, 42106, None)
17/06/08 16:05:03 INFO StandaloneAppClient$ClientEndpoint: Executor added: app-20170608160503-0000/1 on worker-20170608185509-172.16.24.210-42227 (172.16.24.210:42227) with 4 cores
17/06/08 16:05:03 INFO StandaloneSchedulerBackend: Granted executor ID app-20170608160503-0000/1 on hostPort 172.16.24.210:42227 with 4 cores, 1024.0 MB RAM
17/06/08 16:05:03 INFO StandaloneAppClient$ClientEndpoint: Executor updated: app-20170608160503-0000/0 is now RUNNING
17/06/08 16:05:03 INFO StandaloneAppClient$ClientEndpoint: Executor updated: app-20170608160503-0000/1 is now RUNNING
17/06/08 16:05:03 INFO StandaloneSchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
17/06/08 16:05:10 ERROR TaskSetManager: Task 1 in stage 6.0 failed 4 times; aborting job
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 6.0 failed 4 times, most recent failure: Lost task 1.3 in stage 6.0 (TID 14, 172.16.24.196, executor 0): java.lang.ClassNotFoundException: Main$$anonfun$3
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:348)
    at org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67)
    at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1819)
    at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1986)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
    at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
    at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:85)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
    at org.apache.spark.scheduler.Task.run(Task.scala:99)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1958)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:935)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:934)
    at Main$.hasGraphChanged(Main.scala:168)
    at Main$.main(Main.scala:401)
    at Main.main(Main.scala)
Caused by: java.lang.ClassNotFoundException: Main$$anonfun$3
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:348)
    at org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67)
    at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1819)
    at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1986)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
    at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
    at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:85)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
    at org.apache.spark.scheduler.Task.run(Task.scala:99)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

看来他们都注册并获得了运行此应用程序的访问权限，但无论如何他们都失败了。

我尝试在 Spark-Shell 中运行一个简单的 Pi 近似值，它运行良好并且分布在集群上。我不知道这可能是什么，我尝试了这里提出的很多方法(在每个节点上为 JARS 设置 env，使用 SparkConf.addJars 手动添加它们等)，但我仍然收到此错误。

有人知道它可能是什么吗？

非常感谢。

Answer 1

代码显示的是完整代码吗？!如果是这样，那就是问题所在。

将代码包装在一个对象内，例如带有 main 入口方法的 object SparkApp，然后重新开始。

object SparkApp {
  def main(args: Array[String]): Unit = {
    // ...your code here
  }
}

您还可以使用object SparkApp extends App，但众所周知，这有时会导致失败。

我强烈建议使用最新、最好的 Spark 2.1.1。