spark wordcount 初步

2022年4月19日23:33:39 发表评论 2,243 views
package wordcount

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

object wordCountScala extends App{
val conf = new SparkConf().setAppName("Wordcount").setMaster("local");
 val sc = new SparkContext(conf)

 val line = sc.textFile("F:\\大数据\\wordcount.txt")

 val result = line.flatMap(_.split(" ")).map((_,1)).reduceByKey(_+_)

 result.foreach(println)
}

java版本

package wordcount;

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

public class wordCountJava {
    public static void main(String[] args) {
        SparkConf conf = new SparkConf().setAppName("javaWordCount").setMaster("local");
        JavaSparkContext jsc = new JavaSparkContext(conf);

        JavaRDD<String> javardd = jsc.textFile("F:\\大数据\\wordcount.txt");

        JavaRDD<String> word = javardd.flatMap(new FlatMapFunction<String, String>() {
            @Override

            public Iterator<String> call(String s) throws Exception {
                String[] s1 = s.split(" ");
                return Arrays.asList(s1).iterator();
            }
        });
// 数据拼接
        JavaPairRDD<String, Integer> javaPairRDD = word.mapToPair(new PairFunction<String, String, Integer>() {
            @Override
            public Tuple2<String, Integer> call(String s) throws Exception {
//                Tuple2<String, Integer> dd = new Tuple2<>(s, 1);
//                return dd;
                return new Tuple2<>(s,1);
            }
        });

        // reduce 合并
        JavaPairRDD<String, Integer> result = javaPairRDD.reduceByKey(new Function2<Integer, Integer, Integer>() {
            @Override
            public Integer call(Integer integer, Integer integer2) throws Exception {
                return integer + integer2;
            }
        });

        //打印
        result.foreach(new VoidFunction<Tuple2<String, Integer>>() {
            @Override
            public void call(Tuple2<String, Integer> stringIntegerTuple2) throws Exception {
                System.out.println(stringIntegerTuple2);
            }
        });


    }

java 简洁版本

package wordcount;

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.FlatMapFunction;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import scala.Tuple2;

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

public class javaWordcountSimple {
    public static void main(String[] args) {
        SparkConf conf = new SparkConf().setAppName("javaWordCount").setMaster("local");
        JavaSparkContext jsc = new JavaSparkContext(conf);

        JavaRDD<String> javardd = jsc.textFile("F:\\大数据\\wordcount.txt");
//数据切分
        JavaRDD<String> word = javardd.flatMap((FlatMapFunction<String, String>) s -> {
            String[] s1 = s.split(" ");
            return Arrays.asList(s1).iterator();
        });
// 数据拼接
        JavaPairRDD<String, Integer> javaPairRDD = word.mapToPair((PairFunction<String, String, Integer>) m -> new Tuple2<>(m, 1));

        // reduce 合并
        JavaPairRDD<String, Integer> result = javaPairRDD.reduceByKey((Function2<Integer, Integer, Integer>) Integer::sum);

        result.foreach(s->{
            System.out.println(s);
        });
    }
}

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