如何以编程方式提交火花工作



在用Spark-Submit提交应用程序时,它可以正常工作。

但是,在尝试使用以下命令进行编程提交时

mvn exec:java -Dexec.mainClass="org.cybergen.SubmitJobExample" -Dexec.args="/opt/spark/current/README.md Please"

尝试这样做时会遇到以下错误

应用程序日志

15/05/12 17:19:46 INFO AppClient$ClientActor: Connecting to master spark://cyborg:7077...
15/05/12 17:19:46 WARN ReliableDeliverySupervisor: Association with remote system [akka.tcp://sparkMaster@cyborg:7077] has failed, address is now gated for [5000] ms. Reason is: [Disassociated].
15/05/12 17:20:06 INFO AppClient$ClientActor: Connecting to master spark://cyborg:7077...
15/05/12 17:20:06 WARN ReliableDeliverySupervisor: Association with remote system [akka.tcp://sparkMaster@cyborg:7077] has failed, address is now gated for [5000] ms. Reason is: [Disassociated].

火花主日志

15/05/12 17:33:22 ERROR EndpointWriter: AssociationError [akka.tcp://sparkMaster@cyborg:7077] <- [akka.tcp://sparkDriver@10.18.26.116:49592]: Error [org.apache.spark.deploy.ApplicationDescription; local class incompatible: stream classdesc serialVersionUID = 7674242335164700840, local class serialVersionUID = 2596819202403185464] [
java.io.InvalidClassException: org.apache.spark.deploy.ApplicationDescription; local class incompatible: stream classdesc serialVersionUID = 7674242335164700840, local class serialVersionUID = 2596819202403185464
    at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:617)
    at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1622)
    at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1517)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1771)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
    at akka.serialization.JavaSerializer$$anonfun$1.apply(Serializer.scala:136)
    at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
    at akka.serialization.JavaSerializer.fromBinary(Serializer.scala:136)
    at akka.serialization.Serialization$$anonfun$deserialize$1.apply(Serialization.scala:104)
    at scala.util.Try$.apply(Try.scala:161)
    at akka.serialization.Serialization.deserialize(Serialization.scala:98)
    at akka.remote.serialization.MessageContainerSerializer.fromBinary(MessageContainerSerializer.scala:63)
    at akka.serialization.Serialization$$anonfun$deserialize$1.apply(Serialization.scala:104)
    at scala.util.Try$.apply(Try.scala:161)
    at akka.serialization.Serialization.deserialize(Serialization.scala:98)
    at akka.remote.MessageSerializer$.deserialize(MessageSerializer.scala:23)
    at akka.remote.DefaultMessageDispatcher.payload$lzycompute$1(Endpoint.scala:58)
    at akka.remote.DefaultMessageDispatcher.payload$1(Endpoint.scala:58)
    at akka.remote.DefaultMessageDispatcher.dispatch(Endpoint.scala:76)
    at akka.remote.EndpointReader$$anonfun$receive$2.applyOrElse(Endpoint.scala:937)
    at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
    at akka.remote.EndpointActor.aroundReceive(Endpoint.scala:415)
    at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
    at akka.actor.ActorCell.invoke(ActorCell.scala:487)
    at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
    at akka.dispatch.Mailbox.run(Mailbox.scala:220)
    at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
    at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
    at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
    at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
    at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
]
15/05/12 17:33:22 INFO Master: akka.tcp://sparkDriver@10.18.26.116:49592 got disassociated, removing it.
15/05/12 17:33:22 WARN ReliableDeliverySupervisor: Association with remote system [akka.tcp://sparkDriver@10.18.26.116:49592] has failed, address is now gated for [5000] ms. Reason is: [org.apache.spark.deploy.ApplicationDescription; local class incompatible: stream classdesc serialVersionUID = 7674242335164700840, local class serialVersionUID = 2596819202403185464].
15/05/12 17:33:22 INFO LocalActorRef: Message [akka.remote.transport.AssociationHandle$Disassociated] from Actor[akka://sparkMaster/deadLetters] to Actor[akka://sparkMaster/system/endpointManager/reliableEndpointWriter-akka.tcp%3A%2F%2FsparkDriver%4010.18.26.116%3A49592-6/endpointWriter/endpointReader-akka.tcp%3A%2F%2FsparkDriver%4010.18.26.116%3A49592-0#1749840468] was not delivered. [10] dead letters encountered. This logging can be turned off or adjusted with configuration settings 'akka.log-dead-letters' and 'akka.log-dead-letters-during-shutdown'.
15/05/12 17:33:22 INFO LocalActorRef: Message [akka.remote.transport.AssociationHandle$Disassociated] from Actor[akka://sparkMaster/deadLetters] to Actor[akka://sparkMaster/system/transports/akkaprotocolmanager.tcp0/akkaProtocol-tcp%3A%2F%2FsparkMaster%40127.0.0.1%3A50366-7#-1224275483] was not delivered. [11] dead letters encountered. This logging can be turned off or adjusted with configuration settings 'akka.log-dead-letters' and 'akka.log-dead-letters-during-shutdown'.
15/05/12 17:33:42 ERROR EndpointWriter: AssociationError [akka.tcp://sparkMaster@cyborg:7077] <- [akka.tcp://sparkDriver@10.18.26.116:49592]: Error [org.apache.spark.deploy.ApplicationDescription; local class incompatible: stream classdesc serialVersionUID = 7674242335164700840, local class serialVersionUID = 2596819202403185464] [
java.io.InvalidClassException: org.apache.spark.deploy.ApplicationDescription; local class incompatible: stream classdesc serialVersionUID = 7674242335164700840, local class serialVersionUID = 2596819202403185464
    at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:617)
    at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1622)

sparktestjob:是火花作业类

class SparkTestJob(val filePath:String="",val filter:String ="") extends Serializable{
  def runWordCount() :Long = {
  val conf = new SparkConf()
    .setAppName("word count for the word"+filter)
    .setMaster("spark://cyborg:7077")
    .setJars(Seq("/tmp/spark-example-1.0-SNAPSHOT-driver.jar"))
    .setSparkHome("/opt/spark/current")
  val sc = new SparkContext(conf)
  val file = sc.textFile(filePath)
  file.filter(line => line.contains(filter)).count()
 }
}

submitjobexample是启动SparkTestJob类的对象

object SubmitJobExample {
  def main(args: Array[String]):Unit={
    if(args.length==2){
      val fileName = args(0)
      val filterByWord = args(1)
      println("Reading file "+fileName+" for word "+filterByWord)
      val jobObject = new SparkTestJob(fileName,filterByWord)
      println("word count for the file "+fileName+" is "+jobObject.runWordCount())
    }else{
      val jobObject = new SparkTestJob("/opt/spark/current/README.md","Please")
      println("word count for the file /opt/spark/current/README.md is "+jobObject.runWordCount())
    }
  }
}

您的代码对我来说很好。调试使用-Dsun.io.serialization.extendedDebugInfo=true运行的序列化问题。这将在NotSerializableException上打印额外的输出,您将看到它要序列化的内容。

实际问题是将所有依赖项更改为同一火花版本的依赖项之一的火花版本不匹配。

出现Spark-Submit时它起作用的原因是因为使用了正确的Spark Jar版本。

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