求TOP3广告点击次数，java spark rdd pairrdd 键值对转化

import java.util.Arrays;
import java.util.List;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.mllib.recommendation.Rating;
import scala.Tuple2;
public class provicead1 {
  public static void main(String[] args) {
    // TODO Auto-generated method stub
  SparkConf sparkConf = new SparkConf().setAppName("PeopleInfoCalculator").setMaster("local");
    JavaSparkContext sc = new JavaSparkContext(sparkConf);
    JavaRDD<String> filedata=sc.textFile("file:///home/gyq/eclipse-workspace/ALS/PeopleInfo.txt");
    JavaPairRDD<Tuple2<String,String>,Integer> PAdata=filedata.mapToPair(s->{
      return new Tuple2<Tuple2<String,String>,Integer>(
        new Tuple2<String,String>(s.split(" ")[1],s.split(" ")[4]),1);//将第2列数据和第5列数据取出变成键值对形式
       });
    JavaPairRDD<Tuple2<String,String>,Integer> ggs=PAdata.reduceByKey((x,y)->x+y);
   ggs.foreach(f->System.out.println("jjjjj（省份，"+ "广告），点击数"+f));//第二题
   JavaRDD<String> rdd=ggs.map(f->{return f._1+" "+f._2;});
   JavaRDD<String> rdd1=rdd.sortBy(f->{return Integer.valueOf(f.split(" ")[1]);},false,1);
   rdd1.foreach(f->System.out.println("（省份，"+ "广告），点击数"+f));
   List<String> rdd2=rdd1.take(3);
   for(int i=0;i<3;i++) {
     System.out.println(rdd2.get(i));
   }
  }
}