Exception in thread "main" java.lang.NoSuchMethodError: scala.Predef$.$scope()Lscala/xml/TopScope$;

Exception in thread "main" java.lang.NoSuchMethodError: scala.Predef$.$scope()Lscala/xml/TopScope$;
	at org.apache.spark.ui.jobs.AllJobsPage.<init>(AllJobsPage.scala:39)
	at org.apache.spark.ui.jobs.JobsTab.<init>(JobsTab.scala:38)
	at org.apache.spark.ui.SparkUI.initialize(SparkUI.scala:67)
	at org.apache.spark.ui.SparkUI.<init>(SparkUI.scala:84)
	at org.apache.spark.ui.SparkUI$.create(SparkUI.scala:221)
	at org.apache.spark.ui.SparkUI$.createLiveUI(SparkUI.scala:163)
	at org.apache.spark.SparkContext.<init>(SparkContext.scala:452)
	at Spark_day01.SparkWC$.main(SparkWC.scala:18)
	at Spark_day01.SparkWC.main(SparkWC.scala)

解决办法：
原因是spark-core的版本依赖出了问题，将原来的pom.xml如下：

 <dependency>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-core_2.10</artifactId>
    <version>2.1.0</version>
 </dependency>

修改为：

<dependency>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-core_2.11</artifactId>
    <version>2.1.1</version>
</dependency>

问题解决。。。
附上源代码：

package Spark_day01

import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.rdd.RDD

object SparkWC {

  def main(args: Array[String]): Unit = {

    val conf:SparkConf = new SparkConf()
    // 提交的集群的master
    // local[3]在本地使用3个线程模拟集群运行任务
    // local：默认用一个线程模拟集群运行任务
    // local[*]:使用所有空闲的线程模拟集群执行任务
      .setMaster("local")
      .setAppName("spark-word-count")
    // 创建一个SparkContext对象
    val sc:SparkContext = new SparkContext(conf)
    // 读取文件,获取文件里每一行，作为一个字符串，放到RDD
    val lines:RDD[String] = sc.textFile(args(0))
    // 切分压平
    val words:RDD[String] = lines.flatMap(_.split(" "))

    // word=>(word,1)
    val tuple: RDD[(String,Int)] = words.map((_,1))
    // 相同的key的值进行reduce
    val reduced:RDD[(String,Int)] = tuple.reduceByKey(_+_)
    // 结果进行排序
    val sorted:RDD[(String,Int)] = reduced.sortBy(_._2,false)
    // 结果保存
    sorted.saveAsTextFile(args(1))

    sc.stop()

  }

}