将 scala 代码部署到 Spark 时出现 ClassNotFoundException 异常
ClassNotFoundException anonfun when deploy scala code to Spark
我是 Apache Spark 的新手，我正在尝试将一段简单的 Scala 代码部署到 Spark。
注意： 我正在尝试连接到一个现有的 运行 集群，我通过 java 参数将其配置为：spark.master=spark://MyHostName:7077
环境
- Spark 1.5.1 使用 scala 2.10 构建
- Spark 在我的本地机器上运行独立模式
- OS: Mac OS 艾尔船长
- JVM: JDK 1.8.0_60
- IDE：IntelliJ IDE社区 14.1.5
- Scala 版本：2.10.4
sbt: 0.13.8
代码
import org.apache.spark.{SparkConf, SparkContext}
object HelloSpark {
def main(args: Array[String]) {
val logFile = "/README.md"
val conf = new SparkConf().setAppName("Simple Application")
val sc = new SparkContext(conf)
val logData = sc.textFile(logFile, 2).cache()
val numAs = logData.filter(line => line.contains("a")).count()
println("%s done!".format(numAs))
}
}
build.sbt
name := "data-streamer210"
version := "1.0"
scalaVersion := "2.10.4"
libraryDependencies ++= Seq(
"org.apache.spark" % "spark-core_2.10" % "1.5.1",
"org.apache.spark" % "spark-streaming_2.10" % "1.5.1",
"org.apache.spark" % "spark-mllib_2.10" % "1.5.1",
"org.apache.spark" % "spark-bagel_2.10" % "1.5.1",
"org.apache.spark" % "spark-streaming-twitter_2.10" % "1.5.1"
)
错误
15/10/19 19:40:09 INFO SparkContext: Starting job: count at HelloSpark.scala:14
15/10/19 19:40:09 INFO DAGScheduler: Got job 0 (count at HelloSpark.scala:14) with 2 output partitions
15/10/19 19:40:09 INFO DAGScheduler: Final stage: ResultStage 0(count at HelloSpark.scala:14)
15/10/19 19:40:09 INFO DAGScheduler: Parents of final stage: List()
15/10/19 19:40:09 INFO DAGScheduler: Missing parents: List()
15/10/19 19:40:09 INFO DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[2] at filter at HelloSpark.scala:14), which has no missing parents
15/10/19 19:40:09 INFO MemoryStore: ensureFreeSpace(3192) called with curMem=120313, maxMem=2061647216
15/10/19 19:40:09 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 3.1 KB, free 1966.0 MB)
15/10/19 19:40:09 INFO MemoryStore: ensureFreeSpace(1892) called with curMem=123505, maxMem=2061647216
15/10/19 19:40:09 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 1892.0 B, free 1966.0 MB)
15/10/19 19:40:09 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 127.0.0.1:50941 (size: 1892.0 B, free: 1966.1 MB)
15/10/19 19:40:09 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:861
15/10/19 19:40:09 INFO DAGScheduler: Submitting 2 missing tasks from ResultStage 0 (MapPartitionsRDD[2] at filter at HelloSpark.scala:14)
15/10/19 19:40:09 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks
15/10/19 19:40:10 INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@127.0.0.1:50951/user/Executor#-147774947]) with ID 0
15/10/19 19:40:10 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:10 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:10 INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@127.0.0.1:50952/user/Executor#1450479604]) with ID 2
15/10/19 19:40:10 INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@127.0.0.1:50957/user/Executor#1447408721]) with ID 1
15/10/19 19:40:10 INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@127.0.0.1:50955/user/Executor#1397136754]) with ID 3
15/10/19 19:40:10 INFO BlockManagerMasterEndpoint: Registering block manager 127.0.0.1:50963 with 530.0 MB RAM, BlockManagerId(0, 127.0.0.1, 50963)
15/10/19 19:40:10 INFO BlockManagerMasterEndpoint: Registering block manager 127.0.0.1:50964 with 530.0 MB RAM, BlockManagerId(2, 127.0.0.1, 50964)
15/10/19 19:40:10 INFO BlockManagerMasterEndpoint: Registering block manager 127.0.0.1:50965 with 530.0 MB RAM, BlockManagerId(1, 127.0.0.1, 50965)
15/10/19 19:40:10 INFO BlockManagerMasterEndpoint: Registering block manager 127.0.0.1:50966 with 530.0 MB RAM, BlockManagerId(3, 127.0.0.1, 50966)
15/10/19 19:40:11 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 127.0.0.1:50963 (size: 1892.0 B, free: 530.0 MB)
15/10/19 19:40:11 WARN TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1, 127.0.0.1): java.lang.ClassNotFoundException: HelloSpark$$anonfun
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.serializer.JavaDeserializationStream$$anon.resolveClass(JavaSerializer.scala:67)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1613)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
15/10/19 19:40:11 INFO TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 1]
15/10/19 19:40:11 INFO TaskSetManager: Starting task 0.1 in stage 0.0 (TID 2, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO TaskSetManager: Starting task 1.1 in stage 0.0 (TID 3, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 127.0.0.1:50966 (size: 1892.0 B, free: 530.0 MB)
15/10/19 19:40:11 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 127.0.0.1:50964 (size: 1892.0 B, free: 530.0 MB)
15/10/19 19:40:11 INFO TaskSetManager: Lost task 1.1 in stage 0.0 (TID 3) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 2]
15/10/19 19:40:11 INFO TaskSetManager: Starting task 1.2 in stage 0.0 (TID 4, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO TaskSetManager: Lost task 1.2 in stage 0.0 (TID 4) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 3]
15/10/19 19:40:11 INFO TaskSetManager: Lost task 0.1 in stage 0.0 (TID 2) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 4]
15/10/19 19:40:11 INFO TaskSetManager: Starting task 0.2 in stage 0.0 (TID 5, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO TaskSetManager: Starting task 1.3 in stage 0.0 (TID 6, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO TaskSetManager: Lost task 0.2 in stage 0.0 (TID 5) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 5]
15/10/19 19:40:11 INFO TaskSetManager: Starting task 0.3 in stage 0.0 (TID 7, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO TaskSetManager: Lost task 0.3 in stage 0.0 (TID 7) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 6]
15/10/19 19:40:11 ERROR TaskSetManager: Task 0 in stage 0.0 failed 4 times; aborting job
15/10/19 19:40:11 INFO TaskSchedulerImpl: Cancelling stage 0
15/10/19 19:40:11 INFO TaskSchedulerImpl: Stage 0 was cancelled
15/10/19 19:40:11 INFO DAGScheduler: ResultStage 0 (count at HelloSpark.scala:14) failed in 2.613 s
15/10/19 19:40:11 INFO DAGScheduler: Job 0 failed: count at HelloSpark.scala:14, took 2.716305 s
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 7, 127.0.0.1): java.lang.ClassNotFoundException: HelloSpark$$anonfun
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.serializer.JavaDeserializationStream$$anon.resolveClass(JavaSerializer.scala:67)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1613)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$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$$failJobAndIndependentStages(DAGScheduler.scala:1283)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage.apply(DAGScheduler.scala:1271)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage.apply(DAGScheduler.scala:1270)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed.apply(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
at org.apache.spark.util.EventLoop$$anon.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1822)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1835)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1848)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1919)
at org.apache.spark.rdd.RDD.count(RDD.scala:1121)
at HelloSpark$.main(HelloSpark.scala:14)
at HelloSpark.main(HelloSpark.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140)
Caused by: java.lang.ClassNotFoundException: HelloSpark$$anonfun
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.serializer.JavaDeserializationStream$$anon.resolveClass(JavaSerializer.scala:67)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1613)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
15/10/19 19:40:11 INFO SparkContext: Invoking stop() from shutdown hook
15/10/19 19:40:11 WARN TaskSetManager: Lost task 1.3 in stage 0.0 (TID 6, 127.0.0.1): org.apache.spark.TaskKilledException
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:204)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
15/10/19 19:40:11 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
15/10/19 19:40:11 INFO SparkUI: Stopped Spark web UI at http://127.0.0.1:4040
15/10/19 19:40:11 INFO DAGScheduler: Stopping DAGScheduler
15/10/19 19:40:11 INFO SparkDeploySchedulerBackend: Shutting down all executors
15/10/19 19:40:11 INFO SparkDeploySchedulerBackend: Asking each executor to shut down
15/10/19 19:40:11 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
15/10/19 19:40:11 INFO MemoryStore: MemoryStore cleared
15/10/19 19:40:11 INFO BlockManager: BlockManager stopped
15/10/19 19:40:11 INFO BlockManagerMaster: BlockManagerMaster stopped
15/10/19 19:40:11 INFO SparkContext: Successfully stopped SparkContext
15/10/19 19:40:11 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
15/10/19 19:40:11 INFO ShutdownHookManager: Shutdown hook called
15/10/19 19:40:11 INFO ShutdownHookManager: Deleting directory /private/var/folders/q9/m_d81ms107n09tj8k5wbzfb40000gp/T/spark-53ce9474-5488-4d50-bfb6-c58ddeed7640
Process finished with exit code 1
当您从 IntelliJ 运行 Spark 时，您可以连接到 "local" spark JVM 或远程集群。
如果您将 master 设置为本地（例如，setMaster("local[*]")），那么您在本地 scope/project 中的任何代码都将可用于此临时本地（单个 JVM）集群刚刚创建。所有 运行 都在本地，并在测试结束时退出（如果你 运行 进行单元测试），或者当你退出应用程序时 运行 将其作为 IntelliJ 中的应用程序.
但是，如果您将 master 设置为指向远程集群（比如 setMaster("spark://localhost:7077")），您需要确保您的集群可以访问您的新代码（在您的情况下，它需要访问您要传递给 filter 的闭包）。
当我想在 运行ning Spark 集群上执行一段新代码时，我通常通过将我的应用程序打包到 Uber Jar 中来实现（参见 sbt-assembly) and then passing this as an argument in spark-submit（更多详细信息参见单击 link）。
如果您在代码中调用 setMaster，即使您已将其设置为正确的 master，也会有一个有趣的交互。例如，我有这样的代码：
val conf = new SparkConf().setAppName("Simple Application").setMaster("spark://greine:7077")
我这样提交的：
bin/spark-submit --class SimpleApp --master yarn --deploy-mode cluster /Users/james/Projects/sparkHelloWorld/target/scala-2.11/sparkHelloWorld-assembly-1.0.jar
我认为 jar (sparkHelloWorld-assembly-1.0.jar) 构建正确并且具有所有必需的 class 文件。仍然有错误：
17/04/08 09:19:08 INFO yarn.ApplicationMaster: Unregistering ApplicationMaster with FAILED (diag message: User class threw exception: 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 5, 10.178.252.14, executor 1): java.lang.ClassNotFoundException: SimpleApp$$anonfun
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.serializer.JavaDeserializationStream$$anon.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.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.ResultTask.runTask(ResultTask.scala:80)
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)
一旦我删除了对 setMaster("spark://greine:7077") 的调用，它 运行 并使用相同的 spark-submit 命令正确完成。
我是 Apache Spark 的新手，我正在尝试将一段简单的 Scala 代码部署到 Spark。
注意： 我正在尝试连接到一个现有的 运行 集群，我通过 java 参数将其配置为：spark.master=spark://MyHostName:7077
环境
- Spark 1.5.1 使用 scala 2.10 构建
- Spark 在我的本地机器上运行独立模式
- OS: Mac OS 艾尔船长
- JVM: JDK 1.8.0_60
- IDE：IntelliJ IDE社区 14.1.5
- Scala 版本：2.10.4
sbt: 0.13.8
代码
import org.apache.spark.{SparkConf, SparkContext}
object HelloSpark {
def main(args: Array[String]) {
val logFile = "/README.md"
val conf = new SparkConf().setAppName("Simple Application")
val sc = new SparkContext(conf)
val logData = sc.textFile(logFile, 2).cache()
val numAs = logData.filter(line => line.contains("a")).count()
println("%s done!".format(numAs))
}
}
build.sbt
name := "data-streamer210"
version := "1.0"
scalaVersion := "2.10.4"
libraryDependencies ++= Seq(
"org.apache.spark" % "spark-core_2.10" % "1.5.1",
"org.apache.spark" % "spark-streaming_2.10" % "1.5.1",
"org.apache.spark" % "spark-mllib_2.10" % "1.5.1",
"org.apache.spark" % "spark-bagel_2.10" % "1.5.1",
"org.apache.spark" % "spark-streaming-twitter_2.10" % "1.5.1"
)
错误
15/10/19 19:40:09 INFO SparkContext: Starting job: count at HelloSpark.scala:14
15/10/19 19:40:09 INFO DAGScheduler: Got job 0 (count at HelloSpark.scala:14) with 2 output partitions
15/10/19 19:40:09 INFO DAGScheduler: Final stage: ResultStage 0(count at HelloSpark.scala:14)
15/10/19 19:40:09 INFO DAGScheduler: Parents of final stage: List()
15/10/19 19:40:09 INFO DAGScheduler: Missing parents: List()
15/10/19 19:40:09 INFO DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[2] at filter at HelloSpark.scala:14), which has no missing parents
15/10/19 19:40:09 INFO MemoryStore: ensureFreeSpace(3192) called with curMem=120313, maxMem=2061647216
15/10/19 19:40:09 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 3.1 KB, free 1966.0 MB)
15/10/19 19:40:09 INFO MemoryStore: ensureFreeSpace(1892) called with curMem=123505, maxMem=2061647216
15/10/19 19:40:09 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 1892.0 B, free 1966.0 MB)
15/10/19 19:40:09 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 127.0.0.1:50941 (size: 1892.0 B, free: 1966.1 MB)
15/10/19 19:40:09 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:861
15/10/19 19:40:09 INFO DAGScheduler: Submitting 2 missing tasks from ResultStage 0 (MapPartitionsRDD[2] at filter at HelloSpark.scala:14)
15/10/19 19:40:09 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks
15/10/19 19:40:10 INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@127.0.0.1:50951/user/Executor#-147774947]) with ID 0
15/10/19 19:40:10 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:10 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:10 INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@127.0.0.1:50952/user/Executor#1450479604]) with ID 2
15/10/19 19:40:10 INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@127.0.0.1:50957/user/Executor#1447408721]) with ID 1
15/10/19 19:40:10 INFO SparkDeploySchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@127.0.0.1:50955/user/Executor#1397136754]) with ID 3
15/10/19 19:40:10 INFO BlockManagerMasterEndpoint: Registering block manager 127.0.0.1:50963 with 530.0 MB RAM, BlockManagerId(0, 127.0.0.1, 50963)
15/10/19 19:40:10 INFO BlockManagerMasterEndpoint: Registering block manager 127.0.0.1:50964 with 530.0 MB RAM, BlockManagerId(2, 127.0.0.1, 50964)
15/10/19 19:40:10 INFO BlockManagerMasterEndpoint: Registering block manager 127.0.0.1:50965 with 530.0 MB RAM, BlockManagerId(1, 127.0.0.1, 50965)
15/10/19 19:40:10 INFO BlockManagerMasterEndpoint: Registering block manager 127.0.0.1:50966 with 530.0 MB RAM, BlockManagerId(3, 127.0.0.1, 50966)
15/10/19 19:40:11 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 127.0.0.1:50963 (size: 1892.0 B, free: 530.0 MB)
15/10/19 19:40:11 WARN TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1, 127.0.0.1): java.lang.ClassNotFoundException: HelloSpark$$anonfun
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.serializer.JavaDeserializationStream$$anon.resolveClass(JavaSerializer.scala:67)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1613)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
15/10/19 19:40:11 INFO TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 1]
15/10/19 19:40:11 INFO TaskSetManager: Starting task 0.1 in stage 0.0 (TID 2, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO TaskSetManager: Starting task 1.1 in stage 0.0 (TID 3, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 127.0.0.1:50966 (size: 1892.0 B, free: 530.0 MB)
15/10/19 19:40:11 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 127.0.0.1:50964 (size: 1892.0 B, free: 530.0 MB)
15/10/19 19:40:11 INFO TaskSetManager: Lost task 1.1 in stage 0.0 (TID 3) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 2]
15/10/19 19:40:11 INFO TaskSetManager: Starting task 1.2 in stage 0.0 (TID 4, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO TaskSetManager: Lost task 1.2 in stage 0.0 (TID 4) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 3]
15/10/19 19:40:11 INFO TaskSetManager: Lost task 0.1 in stage 0.0 (TID 2) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 4]
15/10/19 19:40:11 INFO TaskSetManager: Starting task 0.2 in stage 0.0 (TID 5, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO TaskSetManager: Starting task 1.3 in stage 0.0 (TID 6, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO TaskSetManager: Lost task 0.2 in stage 0.0 (TID 5) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 5]
15/10/19 19:40:11 INFO TaskSetManager: Starting task 0.3 in stage 0.0 (TID 7, 127.0.0.1, PROCESS_LOCAL, 2160 bytes)
15/10/19 19:40:11 INFO TaskSetManager: Lost task 0.3 in stage 0.0 (TID 7) on executor 127.0.0.1: java.lang.ClassNotFoundException (HelloSpark$$anonfun) [duplicate 6]
15/10/19 19:40:11 ERROR TaskSetManager: Task 0 in stage 0.0 failed 4 times; aborting job
15/10/19 19:40:11 INFO TaskSchedulerImpl: Cancelling stage 0
15/10/19 19:40:11 INFO TaskSchedulerImpl: Stage 0 was cancelled
15/10/19 19:40:11 INFO DAGScheduler: ResultStage 0 (count at HelloSpark.scala:14) failed in 2.613 s
15/10/19 19:40:11 INFO DAGScheduler: Job 0 failed: count at HelloSpark.scala:14, took 2.716305 s
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 7, 127.0.0.1): java.lang.ClassNotFoundException: HelloSpark$$anonfun
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.serializer.JavaDeserializationStream$$anon.resolveClass(JavaSerializer.scala:67)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1613)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$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$$failJobAndIndependentStages(DAGScheduler.scala:1283)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage.apply(DAGScheduler.scala:1271)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage.apply(DAGScheduler.scala:1270)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed.apply(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
at org.apache.spark.util.EventLoop$$anon.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1822)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1835)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1848)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1919)
at org.apache.spark.rdd.RDD.count(RDD.scala:1121)
at HelloSpark$.main(HelloSpark.scala:14)
at HelloSpark.main(HelloSpark.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140)
Caused by: java.lang.ClassNotFoundException: HelloSpark$$anonfun
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.serializer.JavaDeserializationStream$$anon.resolveClass(JavaSerializer.scala:67)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1613)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
15/10/19 19:40:11 INFO SparkContext: Invoking stop() from shutdown hook
15/10/19 19:40:11 WARN TaskSetManager: Lost task 1.3 in stage 0.0 (TID 6, 127.0.0.1): org.apache.spark.TaskKilledException
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:204)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
15/10/19 19:40:11 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
15/10/19 19:40:11 INFO SparkUI: Stopped Spark web UI at http://127.0.0.1:4040
15/10/19 19:40:11 INFO DAGScheduler: Stopping DAGScheduler
15/10/19 19:40:11 INFO SparkDeploySchedulerBackend: Shutting down all executors
15/10/19 19:40:11 INFO SparkDeploySchedulerBackend: Asking each executor to shut down
15/10/19 19:40:11 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
15/10/19 19:40:11 INFO MemoryStore: MemoryStore cleared
15/10/19 19:40:11 INFO BlockManager: BlockManager stopped
15/10/19 19:40:11 INFO BlockManagerMaster: BlockManagerMaster stopped
15/10/19 19:40:11 INFO SparkContext: Successfully stopped SparkContext
15/10/19 19:40:11 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
15/10/19 19:40:11 INFO ShutdownHookManager: Shutdown hook called
15/10/19 19:40:11 INFO ShutdownHookManager: Deleting directory /private/var/folders/q9/m_d81ms107n09tj8k5wbzfb40000gp/T/spark-53ce9474-5488-4d50-bfb6-c58ddeed7640
Process finished with exit code 1
当您从 IntelliJ 运行 Spark 时，您可以连接到 "local" spark JVM 或远程集群。
如果您将 master 设置为本地（例如，setMaster("local[*]")），那么您在本地 scope/project 中的任何代码都将可用于此临时本地（单个 JVM）集群刚刚创建。所有 运行 都在本地，并在测试结束时退出（如果你 运行 进行单元测试），或者当你退出应用程序时 运行 将其作为 IntelliJ 中的应用程序.
但是，如果您将 master 设置为指向远程集群（比如 setMaster("spark://localhost:7077")），您需要确保您的集群可以访问您的新代码（在您的情况下，它需要访问您要传递给 filter 的闭包）。
当我想在 运行ning Spark 集群上执行一段新代码时，我通常通过将我的应用程序打包到 Uber Jar 中来实现（参见 sbt-assembly) and then passing this as an argument in spark-submit（更多详细信息参见单击 link）。
如果您在代码中调用 setMaster，即使您已将其设置为正确的 master，也会有一个有趣的交互。例如，我有这样的代码：
val conf = new SparkConf().setAppName("Simple Application").setMaster("spark://greine:7077")
我这样提交的：
bin/spark-submit --class SimpleApp --master yarn --deploy-mode cluster /Users/james/Projects/sparkHelloWorld/target/scala-2.11/sparkHelloWorld-assembly-1.0.jar
我认为 jar (sparkHelloWorld-assembly-1.0.jar) 构建正确并且具有所有必需的 class 文件。仍然有错误：
17/04/08 09:19:08 INFO yarn.ApplicationMaster: Unregistering ApplicationMaster with FAILED (diag message: User class threw exception: 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 5, 10.178.252.14, executor 1): java.lang.ClassNotFoundException: SimpleApp$$anonfun
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.serializer.JavaDeserializationStream$$anon.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.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.ResultTask.runTask(ResultTask.scala:80)
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)
一旦我删除了对 setMaster("spark://greine:7077") 的调用，它 运行 并使用相同的 spark-submit 命令正确完成。