Hadoop学习笔记——WordCount

时间:2024-01-14 22:13:56

1.在IDEA下新建工程,选择from Mevan

GroupId:WordCount

ArtifactId:com.hadoop.1st

Project name:WordCount

Hadoop学习笔记——WordCount

2.pom.xml文件

<?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>WordCount</groupId>
<artifactId>com.hadoop.1st</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>2.7.1</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>

 3.main/java目录下新建WordCount.java文件

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
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.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat; import java.io.IOException;
import java.util.StringTokenizer; /**
* Created by common on 17-3-26.
*/
public class WordCount {
public static class WordCountMap extends
Mapper<LongWritable, Text, Text, IntWritable> { private final IntWritable one = new IntWritable(1);
private Text word = new Text(); public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
String line = value.toString();
StringTokenizer token = new StringTokenizer(line);
while (token.hasMoreTokens()) {
word.set(token.nextToken());
context.write(word, one);
}
}
} public static class WordCountReduce extends
Reducer<Text, IntWritable, Text, IntWritable> { public void reduce(Text key, Iterable<IntWritable> values,
Context context) throws IOException, InterruptedException {
int sum = 0;
for (IntWritable val : values) {
sum += val.get();
}
context.write(key, new IntWritable(sum));
}
} public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
Job job = new Job(conf);
job.setJarByClass(WordCount.class);
job.setJobName("wordcount"); job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class); job.setMapperClass(WordCountMap.class);
job.setReducerClass(WordCountReduce.class); job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class); FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1])); job.waitForCompletion(true);
}
}

 4.在src同级目录下新建input目录,以及下面的test.segmented文件

Hadoop学习笔记——WordCount

test.segmented文件内容

aa
bb
cc
dd
aa
cc
ee
ff
ff
gg
hh
aa

4.在run configuration下设置运行方式为Application

Hadoop学习笔记——WordCount

5.运行java文件,将会生成output目录,part-r-00000为运行的结果,下次运行必须删除output目录,否则会报错

Hadoop学习笔记——WordCount