欢迎您访问程序员文章站本站旨在为大家提供分享程序员计算机编程知识！
您现在的位置是： 首页  >  数据库

Hadoop2.0 YARN cloudra4.4.0 WordCount实例

程序员文章站 2022-03-20 09:25:24
...

其他都没啥 这个 jar都在这里了。 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.Te

Hadoop2.0 YARN cloudra4.4.0 WordCount实例

其他都没啥 这个 jar都在这里了。

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{
    
    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 {
    private IntWritable result = new IntWritable();

    public void reduce(Text key, Iterable 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 ");
      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);
  }
}

导出为Jar包，上传（发现这个版本居然不知道怎么在Eclipse里直接跑，只好上传了）

Hadoop2.0 YARN cloudra4.4.0 WordCount实例

./hadoop jar ../etc/hadoop/WordCount.jar /user/hadoop/input /user/hadoop/output

input里是yard02的etc/profile文件

结果：

!=	1
"$BASH"	2
"$PS1"	1
"/bin/sh"	1
"`id	1
#	6
$i	2
&&	1
'	3
(bash(1),	1
(sh(1))	1
-d	1
-eq	1
-f	1
-r	1
-u`"	1
.	2
...).	1
.profile	1
/etc/bash.bashrc	2
/etc/login.defs.	1
/etc/profile.d	1
/etc/profile.d/*.sh;	1
/etc/profile:	1
0	1
Bourne	2
CLASSPATH=.:$JAVA_HOME/lib:$JRE_HOME/lib:$CLASSPATH	1
JAVA_HOME=/usr/local/jdk1.7.0_21	1
JRE_HOME=/usr/local/jdk1.7.0_21/jre	1
PATH=$JAVA_HOME/bin:$JRE_HOME/bin:$PATH	1
PS1.	1
PS1='#	1
PS1='$	1
PS1='\h:\w\$	1
See	1
The	2
[	7
]	1
];	6
already	1
and	2
ash(1),	1
bash.bashrc	1
by	1
compatible	1
default	2
do	1
done	1
else	2
export	4
fi	6
file	2
for	2
handled	1
i	2
if	6
in	1
is	1
ksh(1),	1
now	1
pam_umask(8)	1
pam_umask.	1
sets	1
shell	1
shells	1
system-wide	1
the	2
then	6
umask	1
unset	1
相关标签： Hadoop2.0 YARN cloudra4.4.0 Wo

上一篇： 使用truffle部署以太坊智能合约到区块链

下一篇： hadoop学习（七）WordCount+Block+Split+Shuffle+Map+Reduce技术

推荐阅读