Hadoop2.0 YARN cloudra4.4.0 WordCount实例

太过爱你忘了你带给我的痛 2022-09-18 09:55 97阅读 0赞

![SouthEast][]

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<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);
      }
    }

**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）**

![SouthEast 1][]

**./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

[SouthEast]: /images/20220828/acb38c0c0cb54b378c84bf3d213ccb7a.png
[SouthEast 1]: /images/20220828/e1ac595b93804c39b7ae510ea4ff2e08.png