spark--transform算子--distinct

import org.apache.spark.{SparkConf, SparkContext}/**  * Created by liupeng on 2017/6/16.  */object T_distinct {  System.setProperty("hadoop.home.dir","F:\\hadoop-2.6.5")  def main(args: Array[String]): Unit = {    val conf = new SparkConf().setAppName("distinct_test").setMaster("local")    val sc = new SparkContext(conf)    val list = List(1,2,3,1,4,5,4,7,1)    var rdd = sc.parallelize(list)    //distinct方法用于对本身的数据集进行去重处理    val result = rdd.distinct()      .foreach(println)    //如果是键值对的数据，kv都相同，才算是相同的元素    val list1 = List(("liupeng", 120), ("liupeng", 120), ("liusi", 120))    val rdd1 = sc.parallelize(list1)    val result1 = rdd1.distinct()      .foreach(println)  }}

运行结果：

4
1
3
7
5
2

liusi,120)
(liupeng,120)