Hadoop2.0YARNcloudra4.4.0WordCount实例

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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

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<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 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）

./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

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