1.启动hadoop守护进程
bin/hadoop start-all.sh
2.在hadoop的bin目录下建立一个input文件夹
mkdire input
3.进入input目录之后，在input目录下新建两个文本文件，并想其写入内容
echo "hello excuse me fuck thank you">test1.txt
echo "hello how do you do thank you">test2.txt
4.进入hadoop的bin目录，输入jps命令，确认hadoop已经跑起来了
2195 SecondaryNameNode 2245 JobTracker 2055 NameNode 2664 Jps 2314 TaskTracker 2123 DataNode
5.把input文件上传到hdfs上
JIAS-MacBook-Pro:hadoop-0.20.2 jia$ bin/hadoop dfs -put input in
6.查看hdfs上的项目
JIAS-MacBook-Pro:hadoop-0.20.2 jia$ bin/hadoop dfs -ls in Found 3 items -rw-r--r-- 1 jia supergroup 6148 2014-07-16 22:56 /user/jia/in/.DS_Store -rw-r--r-- 1 jia supergroup 18 2014-07-16 22:56 /user/jia/in/tex1.txt -rw-r--r-- 1 jia supergroup 22 2014-07-16 22:56 /user/jia/in/tex2.txt
7.利用自带的wordcount执行
JIAS-MacBook-Pro:hadoop-0.20.2 jia$ bin/hadoop jar hadoop-0.20.2-examples.jar wordcount in put 14/07/16 23:06:52 INFO input.FileInputFormat: Total input paths to process : 2 14/07/16 23:06:52 INFO mapred.JobClient: Running job: job_201407162246_0001 14/07/16 23:06:53 INFO mapred.JobClient: map 0% reduce 0% 14/07/16 23:07:03 INFO mapred.JobClient: map 100% reduce 0% 14/07/16 23:07:15 INFO mapred.JobClient: map 100% reduce 100% 14/07/16 23:07:17 INFO mapred.JobClient: Job complete: job_201407162246_0001 14/07/16 23:07:17 INFO mapred.JobClient: Counters: 17 14/07/16 23:07:17 INFO mapred.JobClient: Map-Reduce Framework 14/07/16 23:07:17 INFO mapred.JobClient: Combine output records=7 14/07/16 23:07:17 INFO mapred.JobClient: Spilled Records=14 14/07/16 23:07:17 INFO mapred.JobClient: Reduce input records=7 14/07/16 23:07:17 INFO mapred.JobClient: Reduce output records=4 14/07/16 23:07:17 INFO mapred.JobClient: Map input records=2 14/07/16 23:07:17 INFO mapred.JobClient: Map output records=7 14/07/16 23:07:17 INFO mapred.JobClient: Map output bytes=68 14/07/16 23:07:17 INFO mapred.JobClient: Reduce shuffle bytes=52 14/07/16 23:07:17 INFO mapred.JobClient: Combine input records=7 14/07/16 23:07:17 INFO mapred.JobClient: Reduce input groups=4 14/07/16 23:07:17 INFO mapred.JobClient: FileSystemCounters 14/07/16 23:07:17 INFO mapred.JobClient: HDFS_BYTES_READ=40 14/07/16 23:07:17 INFO mapred.JobClient: FILE_BYTES_WRITTEN=246 14/07/16 23:07:17 INFO mapred.JobClient: FILE_BYTES_READ=88 14/07/16 23:07:17 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=30 14/07/16 23:07:17 INFO mapred.JobClient: Job Counters 14/07/16 23:07:17 INFO mapred.JobClient: Launched map tasks=2 14/07/16 23:07:17 INFO mapred.JobClient: Launched reduce tasks=1 14/07/16 23:07:17 INFO mapred.JobClient: Data-local map tasks=2
利用hadoop自带程序运行wordcount,布布扣,bubuko.com
原文：http://www.cnblogs.com/aijianiula/p/3850002.html