scala代码在spark中抛出异常

Question

我是scala和spark的新手.今天我试着编写一些代码,让它在spark上运行,但是有一个例外.

此代码在本地scala中工作

import org.apache.commons.lang.time.StopWatch
import org.apache.spark.{SparkConf, SparkContext}

import scala.collection.mutable.ListBuffer
import scala.util.Random

  def test(): List[Int] = {
    val size = 100
    val range = 100
    var listBuffer = new ListBuffer[Int] // here throw an exception
    val random = new Random()
    for (i <- 1 to size)
      listBuffer += random.nextInt(range)
    listBuffer.foreach(x => println(x))
    listBuffer.toList
  }

但是当我把这段代码放入spark中时,会抛出一个异常说:

15/01/01 14:06:17 INFO SparkDeploySchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
Exception in thread "main" java.lang.NoSuchMethodError: scala.runtime.ObjectRef.create(Ljava/lang/Object;)Lscala/runtime/ObjectRef;
    at com.tudou.sortedspark.Sort$.test(Sort.scala:35)
    at com.tudou.sortedspark.Sort$.sort(Sort.scala:23)
    at com.tudou.sortedspark.Sort$.main(Sort.scala:14)
    at com.tudou.sortedspark.Sort.main(Sort.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:483)
    at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:358)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

如果我注释掉下面的代码,代码在spark中工作

for (i <- 1 to size)

请有人解释原因.

Answer 1

谢谢@Imm,我已经解决了这个问题.根本原因是我的本地scala是2.11.4,但我的spark集群运行在1.2.0版本.1.2版本的spark由2.10 scala编译.

因此解决方案是通过2.10 scala编译本地代码,并将编译后的jar上传到spark.一切正常.