嗨我在Spark网站上运行的例子http://spark.apache.org/docs/1.2.0/quick-start.html#self-contained-applications
spark版本:spark-1.4.0
sbt版本:0.13.8
我运行命令"sbt run"并收到错误“ java.io.InvalidClassException: org.apache.spark.deploy.ApplicationDescription; local class incompatible ” .
这个应用程序在"val sc = new SparkContext(conf)"失败了,当我用Google搜索并查看this post但我没有使用hadoop-client .
你能看一下吗?我的猜测是build.sbt中的版本问题 . 非常感谢你 .
update :我尝试提交python应用程序并且工作正常,这意味着Spark集群可以 .
scala代码如下:
/* SimpleApp.scala */
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
object SimpleApp {
def main(args: Array[String]) {
val logFile = "YOUR_SPARK_HOME/README.md" // Should be some file on your system
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()
val numBs = logData.filter(line => line.contains("b")).count()
println("Lines with a: %s, Lines with b: %s".format(numAs, numBs))
}
}
built.sbt 如下:
name := "Simple Project"
version := "1.0"
scalaVersion := "2.10.4"
libraryDependencies += "org.apache.spark" %% "spark-core" % "1.2.0"
错误信息如下:
15/08/27 05:23:38 ERROR Remoting: org.apache.spark.deploy.ApplicationDescription; local class incompatible: stream classdesc serialVersionUID = 7674242335164700840, local class serialVersionUID = -7685200927816255400
java.io.InvalidClassException: org.apache.spark.deploy.ApplicationDescription; local class incompatible: stream classdesc serialVersionUID = 7674242335164700840, local class serialVersionUID = -7685200927816255400
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)
1 回答
你说你正在使用Spark 1.4.0集群运行,但你的
build.sbt
正在使用1.2.0构建 . 请在build.sbt中更改为: