IntelliJ IDEA + Maven环境编写第一个hadoop程序

1. 新建IntelliJ下的maven项目

点击File->New->Project，在弹出的对话框中选择Maven，JDK选择你自己安装的版本，点击Next

 

2. 填写Maven的

GroupId

和

ArtifactId

你可以根据自己的项目随便填，点击

Next

这样就新建好了一个空的项目

这里程序名填写WordCount,我们的程序是一个通用的网上的范例,用来计算文件中单词出现的次数

 

3. 设置程序的编译版本

打开Intellij的Preference偏好设置，定位到Build, Execution, Deployment->Compiler->Java Compiler，

将WordCount的Target bytecode version修改为你的jdk版本(我的是1.8)

 

4. 配置依赖

编辑pom.xml进行配置

1) 添加apache源

在

project

内尾部添加

<repositories>
<repository>
<id>apache</id>
<url>http://maven.apache.org</url>
</repository>
</repositories>

 

2) 添加hadoop依赖

这里只需要用到基础依赖hadoop-core和hadoop-common；如果需要读写HDFS，

则还需要依赖hadoop-hdfs和hadoop-client；如果需要读写HBase，则还需要依赖hbase-client

在

project

内尾部添
4000
加

<dependencies>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-core</artifactId>
<version>1.2.1</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.7.2</version>
</dependency>
</dependencies>

修改pom.xml完成后，Intellij右上角会提示Maven projects need to be Imported，点击Import Changes以更新依赖,或者点击Enable Auto Import

 

最后,我的完整的pom.xml如下:

<?xml version="1.0" encoding="UTF-8"?>
<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>com.fun</groupId>
<artifactId>hadoop</artifactId>
<version>1.0-SNAPSHOT</version>

<repositories>
<repository>
<id>apache</id>
<url>http://maven.apache.org</url>
</repository>
</repositories>

<dependencies>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-core</artifactId>
<version>1.2.1</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.7.2</version>
</dependency>
</dependencies>

<build>
<plugins>
<plugin>
<artifactId>maven-dependency-plugin</artifactId>
<configuration>
<excludeTransitive>false</excludeTransitive>
<stripVersion>true</stripVersion>
<outputDirectory>./lib</outputDirectory>
</configuration>

</plugin>
</plugins>
</build>
</project>

 

5. 编写主程序

WordCount.java

/**
* Created by jinshilin on 16/12/7.
*/
import java.io.IOException;
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, 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 Exception {
Configuration conf = new Configuration();
Job job = Job.getInstance(conf, "word count");
job.setJarByClass(WordCount.class);
job.setMapperClass(TokenizerMapper.class);
job.setCombinerClass(IntSumReducer.class);
job.setReducerClass(IntSumReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}

 

6. 配置输入和输出结果文件夹

1) 添加和src目录同级的input文件夹到项目中

在input文件夹中放置一个或多个输入文件源

我的输入文件源如下:

test.segmented:

dfdfadgdgag

aadads

fudflcl

cckcer

fadf

dfdfadgdgag

fudflcl

fuck

fuck

fuckfuck

haha

aaa

 

2) 配置运行参数

在Intellij菜单栏中选择Run->Edit Configurations，在弹出来的对话框中点击+，新建一个Application配置。配置Main class为WordCount（可以点击右边的...选择），

Program arguments为input/ output/，即输入路径为刚才创建的input文件夹，输出为output



由于Hadoop的设定，下次运行时务必删除

output

文件夹！

好了,运行程序,结果如下:

aaa 1

aadads 1

cckcer 1

dfdfadgdgag 2

fadf 1

fuck 2

fuckfuck 1

fudflcl 2

haha 1

 

至此,一个简单的hadoop程序完成!