Spark 通过Rdd进行倒叙排序

测试数据：
1 1603A 95
2 1603B 85
3 1603C 75
4 1603D 96
5 1604F 94
6 1604E 95
7 1604K 91
8 1604G 89
9 1501A 79
10 1502A 69
11 1503A 59
12 1504A 89
13 1701A 99
14 1702A 100
15 1703A 65

测试结果：
(1702A,100)
(1701A,99)
(1603D,96)
(1603A,95)
(1604E,95)
(1604F,94)
(1604K,91)
(1604G,89)
(1504A,89)
(1603B,85)
(1501A,79)
(1603C,75)
(1502A,69)
(1703A,65)
(1503A,59)

package com.spark.week3

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

object Four {

  System.setProperty("hadoop.home.dir","D:/soft/hadoop/hadoop-2.7.3")

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

    val conf = new SparkConf().setMaster("local").setAppName("Week4Class")
    val df = new SparkContext(conf)
    val fileRdd = df.textFile("G:/data/week3class.txt")

	//方式一
//    fileRdd.map(line => {
//      val row= line.split(" ")
//      (row(1),row(2).toInt)
//
//    }).sortBy(line => line._2,false).foreach(println)

    fileRdd.map(line=> (line.split(" ")(1),line.split(" ")(2).toInt)).sortBy(line=>line._2,false).foreach(println)


    df.stop()

  }

}