scala code throw exception in spark - scala

Question

I am new to scala and spark. Today I tried to write some code, and let it run on spark, but got an exception.
this code work in local scala
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
}
but when I put this code into spark, it throw an exception says:
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)
if I comment out the below code, the code work in spark
for (i <- 1 to size)
can someone explain why, please.

Answer 1

Thanks #Imm, I have solved this issue. The root cause is that my local scala is 2.11.4, but my spark cluster is running at 1.2.0 version. The 1.2 version of spark was compiled by 2.10 scala.
So the solution is compile local code by 2.10 scala, and upload the compiled jar into spark. Everything works fine.