hadoop 开发—WordCount

参考http://hadoop.apache.org/docs/r2.7.6/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html

eclipse 新建maven项目

pom 文件内容

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"

  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">

  <modelVersion>4.0.0</modelVersion>

  <groupId>hadoop_mapreduce</groupId>

  <artifactId>WordCount</artifactId>

  <version>0.0.1-SNAPSHOT</version>

  <packaging>jar</packaging>

  <name>WordCount</name>

  <url>http://maven.apache.org</url>

  <properties>

    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>

  </properties>

  <dependencies>

  <dependency>

    <groupId>org.apache.hadoop</groupId>

    <artifactId>hadoop-client</artifactId>

    <version>2.8.0</version>

</dependency>

<!–  <dependency>

<groupId>org.apache.phoenix</groupId>

<artifactId>phoenix-core</artifactId>

<version>5.0.0-alpha-HBase-2.0</version>

</dependency>

–>

  <!– https://mvnrepository.com/artifact/org.apache.phoenix/phoenix-core –>

        <dependency>

            <groupId>jdk.tools</groupId>

            <artifactId>jdk.tools</artifactId>

            <version>1.8</version>

            <scope>system</scope>

            <systemPath>C:/Program Files/Java/jdk1.8.0_151/lib/tools.jar</systemPath>

        </dependency>

  </dependencies>

</project>

注: 只需要hadoop-client包，如果引入hbase相关的包，很可能出现包冲突，运行会出现异常。

WordCount类代码

package hadoop_mapreduce.WordCount;

import java.io.IOException;

import java.io.InterruptedIOException;

import java.util.StringTokenizer;

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.fs.Path;

import org.apache.hadoop.io.IntWritable;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapreduce.Job;

import org.apache.hadoop.mapreduce.Mapper;

import org.apache.hadoop.mapreduce.Reducer;

import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

public class WordCount{

public static class TokenizerMapper

extends Mapper<Object,Text,Text,IntWritable>{

private final static IntWritable one =new IntWritable(1);

private Text word = new Text();

public void map(Object key,Text value,Context context) throws IOException,InterruptedIOException, InterruptedException

{

StringTokenizer itr = new StringTokenizer (value.toString());

while(itr.hasMoreTokens()) {

word.set(itr.nextToken());

context.write(word, one);

}

}

}

public static class IntSumReducer

extends Reducer<Text,IntWritable,Text,IntWritable> {

private IntWritable result = new IntWritable();

public void reduce(Text key, Iterable<IntWritable> values,Context context) throws IOException,InterruptedException {

int sum = 0;

for (IntWritable val : values) {

sum += val.get();

}

result.set(sum);

context.write(key, result);

}

}

//public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException

public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException

{

/*

* IntWritable intwritable = new IntWritable(1);

Text text = new Text("abc");

System.out.println(text.toString());

System.out.println(text.getLength());

System.out.println(intwritable.get());

System.out.println(intwritable);

StringTokenizer itr = new StringTokenizer ("www baidu com");

while(itr.hasMoreTokens()) {

System.out.println(itr.nextToken());   hdfs://192.168.50.107:8020/input  hdfs://192.168.50.107:8020/output

*/

//String path = WordCount.class.getResource("/").toString(); 

//System.out.println("path = " + path);

    System.out.println("Connection end");

    //System.setProperty("hadoop.home.dir", "file://192.168.50.107/home/hadoop-user/hadoop-2.8.0");

    //String StringInput = "hdfs://192.168.50.107:8020/input/a.txt";

    //String StringOutput = "hdfs://192.168.50.107:8020/output/b.txt";

Configuration conf = new Configuration();

//conf.set("fs.hdfs.impl", "org.apache.hadoop.hdfs.DistributedFileSystem");

//conf.addResource("classpath:core-site.xml");

    //conf.addResource("classpath:hdfs-site.xml");

    //conf.addResource("classpath:mapred-site.xml");

    //conf.set("HADOOP_HOME", "/home/hadoop-user/hadoop-2.8.0");

Job job = Job.getInstance(conf,"word count");

job.setJarByClass(WordCount.class);

job.setMapperClass(TokenizerMapper.class);

job.setCombinerClass(IntSumReducer.class);

job.setOutputKeyClass(Text.class);

job.setOutputValueClass(IntWritable.class);

//FileInputFormat.addInputPath(job, new Path(StringInput));

//FileOutputFormat.setOutputPath(job, new Path(StringOutput));

FileInputFormat.addInputPath(job, new Path(args[0]));

FileOutputFormat.setOutputPath(job, new Path(args[1]));

System.exit(job.waitForCompletion(true)?0:1);

}

}

连接hadoop的配置文件位置如图

eclipse执行运行会报错: HADOOP_HOME and hadoop.home.dir are unset.

编译打包，放入linux系统

mvn clean

mvn compile

mvn pacakge

我将打包生成的WordCount-0.0.1-SNAPSHOT.jar放到了/home/hadoop-user/work目录

在linux 运行 hadoop jar WordCount-0.0.1-SNAPSHOT.jar hadoop_mapreduce.WordCount.WordCount hdfs://192.168.50.107:8020/input hdfs://192.168.50.107:8020/output

注: 我这里如果不带类路径就会报错，找不到WordCount类。把要分析的文件放入hdfs的input目录中，Output目录不用自己创建。最后生成的分析结果会存在于output目录中