1、下载安装eclipse
wget http://mirrors.ustc.edu.cn/eclipse/oomph/epp/oxygen/R/eclipse-inst-linux64.tar.gz
tar zxvf eclipse-inst-linux64.tar.gz
cd eclipse-installer
./eclipse-inst
2、启动Eclipse
cd /home/Ubuntu/eclipse/java-oxygen/eclipse
./eclipse
3、建立工程
New Java Project
Libraries -> Add External JARs
New Java Package
Org.apache.hadoop.examples
New Class
WordCount
4、贴入代码
package org.apache.hadoop.examples;
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;
import org.apache.hadoop.util.GenericOptionsParser;
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();
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
if (otherArgs.length != 2) {
System.err.println("Usage: wordcount <in> <out>");
System.exit(2);
}
Job job = new Job(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(otherArgs[0]));
FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}
5、补充JAR包
Libraries -> Add External JARs
/home/ubuntu/hadoop/hadoop/share/hadoop/tools/lib/*
6、编译导出可运行JAR
Export->Java->JAR file
JAR file: WordCount.jar
Main class: WordCount
Finish
7、执行
vim /tmp/word.txt
Where is Jack
Jack is at school
Where are Tom can Lee
They are on the bus
hdfs dfs –copyFromLocal /tmp/word.txt /
cd /home/ubuntu/eclipse-workspace
hadoop jar WordCount.jar hdfs://hd1:9000/word.txt hdfs://hd1:9000/out
8、查看执行结果
hdfs dfs –cat /out/*
本文介绍如何使用Hadoop实现WordCount程序,包括Eclipse环境搭建、代码编写、编译打包及HDFS上的运行测试。
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