用spark api 實作java top N 排序
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.api.java.function.PairFunction;
import scala.Tuple2;
/**
* @author 作者 E-mail:
* @version 建立時間:2017年8月31日 下午3:36:03
* 類說明
*/
public class Top3Sort {
public static void main(String[] args) {
SparkConf conf = new SparkConf().setAppName("top3").setMaster("local");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> tf = sc.textFile("G://top3.txt");
JavaPairRDD<Integer, String> mapToPair = tf.mapToPair(new PairFunction<String, Integer,String >() {
private static final long serialVersionUID = 1L;
@Override
public Tuple2<Integer, String> call(String t) throws Exception {
return new Tuple2<Integer, String>(Integer.valueOf(t), t);
}
});
JavaPairRDD<Integer, String> sortByKey = mapToPair.sortByKey(false);
JavaRDD<Integer> map = sortByKey.map(new Function<Tuple2<Integer,String>, Integer>() {
private static final long serialVersionUID = 1L;
@Override
public Integer call(Tuple2<Integer, String> v1) throws Exception {
// TODO Auto-generated method stub
return v1._1;
}
});
//取出前N
List<Integer> take = map.take(5);
for (Integer nums: take){
System.out.println("...."+nums);
}
sc.close();
}
}
測試資料:
1
2
3
4
6
77
88
99
987
121
12121
4556
轉載于:https://www.cnblogs.com/ptbx/p/7459282.html