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Spark学习—统计文件单词出现次数

2017-05-12 11:36 507 查看
上一节我们简单介绍了RDD中转化和执行操作的用法,本节将通过一个具体的示例来加深对RDD的认识。


一.需求

统计本地文件中单词出现次数


二.操作流程

1.读取外部文件创建JavaRDD;

2.通过flatMap转化操作切分字符串,获取单词新JavaRDD;

3.通过mapToPair,以key为单词,value统一为1的键值JavaPairRDD;

4.通过reduceByKey,累计叠加每个key,统计单词出现次数;


三.代码实现

package com.lm.sparkLearning.rdd;

import java.util.Arrays;

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 org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import com.lm.sparkLearning.utils.SparkUtils;

import scala.Tuple2;

/**
* word文件单词出现个数计算
*
* @author dlm
*
*/
public class WordCountCalcLearing {

private static Logger logger = LoggerFactory.getLogger(WordCountCalcLearing.class);

public static void main(String[] args) {
JavaSparkContext jsc = SparkUtils.getJavaSparkCOntext("WordCountSpark", "local[2]", "WARN");

JavaRDD<String> wordRdd = SparkUtils.createRddExternal(jsc, "D:/README.txt");

wordCountCal(wordRdd);

jsc.stop();

}

/**
* wordRdd统计计算逻辑
*
* @param wordRdd
*/
public static void wordCountCal(JavaRDD<String> wordRdd) {
// 将整个字符串根据空格分隔成单词
JavaRDD<String> wordFlatMap = wordRdd.flatMap(new FlatMapFunction<String, String>() {

/**
*
*/
private static final long serialVersionUID = 1L;

@Override
public Iterable<String> call(String t) throws Exception {
return Arrays.asList(t.split("[^a-zA-Z']+"));
}
});

// 将每个单词映射次数为1
JavaPairRDD<String, Integer> wordMapToPair = wordFlatMap.mapToPair(new PairFunction<String, String, Integer>() {

/**
*
*/
private static final long serialVersionUID = 1L;

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

// 将每个重复key的value相加
JavaPairRDD<String, Integer> wordReduceByKey = wordMapToPair
.reduceByKey(new Function2<Integer, Integer, Integer>() {

/**
*
*/
private static final long serialVersionUID = 1L;

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

// 输出统计结果
wordReduceByKey.sortByKey().foreach(new VoidFunction<Tuple2<String, Integer>>() {

/**
*
*/
private static final long serialVersionUID = 1L;

@Override
public void call(Tuple2<String, Integer> t) throws Exception {
logger.warn("key:" + t._1 + ",value:" + t._2);
}
});
}
}



四.下载代码

代码地址:http://download.csdn.net/detail/a123demi/9840519

OSChina : http://git.oschina.net/a123demi/sparklearning
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标签:  Spark Java RDD 单词 次数