1、java版本（spark-2.1.0）

package chavin.king;

import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.api.java.function.VoidFunction;

import scala.Tuple2;

import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;

import java.util.Arrays;
import java.util.Iterator;

import org.apache.spark.SparkConf;

public class WordCount {

    public static void main(String[] args) {
         // TODO Auto-generated method stub

        //初始化spark應用
         SparkConf conf = new SparkConf().setAppName("wordcount").setMaster("local");
         JavaSparkContext sc = new JavaSparkContext(conf);
        
         //讀取檔案
         JavaRDD<String> lines = sc.textFile("E://test//spark_wc.txt");

        //將每一行切割成單詞
         JavaRDD<String> words = lines.flatMap(new FlatMapFunction<String, String>() {

            public Iterator<String> call(String line) throws Exception {
                 return Arrays.asList(line.split(" ")).iterator();
             }

        });

        //將每個單詞對映成(word,1)格式
         JavaPairRDD<String, Integer> pairs = words.mapToPair(new PairFunction<String, String, Integer>() {

            public Tuple2<String, Integer> call(String word) throws Exception {
                 return new Tuple2<String, Integer>(word, 1);
             }

        });

        //計算每個單詞出現次數
         JavaPairRDD<String, Integer> wordCounts = pairs.reduceByKey(new Function2<Integer, Integer, Integer>() {

            public Integer call(Integer v1, Integer v2) throws Exception {
                 return v1 + v2;
             }

        });

        //列印輸出
         wordCounts.foreach(new VoidFunction<Tuple2<String, Integer>>() {

            public void call(Tuple2<String, Integer> wordCount) throws Exception {
                 System.out.println(wordCount._1 + " appeared " + wordCount._2 + " times.");
             }

        });

        //關閉SparkContext
         sc.close();

    }

}

2、scala版本

package chavin.king

import org.apache.spark.SparkConf
import org.apache.spark.SparkContext

object WordCountLocal {

  def main(args: Array[String]) {
    
     val conf = new SparkConf().setAppName("WordCount").setMaster("local")
     val sc = new SparkContext(conf)

    val lines = sc.textFile("E://test//spark_wc.txt", 1)
     val words = lines.flatMap { line => line.split(" ") }
     val pairs = words.map { word => (word, 1) }
     val wordCounts = pairs.reduceByKey { _ + _ }

    wordCounts.foreach(wordCount => println(wordCount._1 + " appeared " + wordCount._2 + " times."))
    
   }

}