serialVersionUID不一致的问题

[k_c_u_f]

代码：

object SparkPi {
  def main(args: Array[String]) {
    val jar: String = "E:\\Intellij\\Projects\\Spark_06\\out\\artifacts\\Spark_06_jar\\Spark_06.jar"
    val jars = ArrayBuffer[String]()
    jars += jar
    val conf = new SparkConf().setAppName("Spark Pi").setMaster("spark://master:7077").setJars(jars)
    val spark = new SparkContext(conf)
    val slices = if (args.length > 0) args(0).toInt else 2
    val n = math.min(100000L * slices, Int.MaxValue).toInt
    val count = spark.parallelize(1 to n, slices).map { i =>
      val x = random * 2 - 1
      val y = random * 2 - 1
      if (x*x + y*y < 1) 1 else 0
    }.reduce(_ + _)
    println("Pi is roughly " + 4.0 * count / n)
    println("Pi is roughly ")
    spark.stop()
  }
}

出现了下面的错误：
java.io.InvalidClassException: scala.collection.immutable.List$SerializationProxy; local class incompatible: stream classdesc serialVersionUID = -7905219378619747021, local class serialVersionUID = 1
at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:616)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1829)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1986)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
这是怎么原因呢？怎么解决？

[java8964]

This normally means the Spark version you were building against is NOT the same as the Spark version you are running in the cluster.

[k_c_u_f]

jar包版本不一致造成的

[张好芒]

？？？什么意思呢