Hadoop集群搭建(1)(3)

4.启动hadoop：

这里用简单的命令进行启动，

         A．格式化文件系统：                 

 

1. #bin/hadoop namenode –format  

         B．启动hadoop         #bin/start-all.sh  

         C．利用hadoop自带的例子测试hadoop是否启动成功                  

 

1. #bin/hadoop fs -mkdir input     ###在文件系统中创建input文件夹  
2. #bin/hadoopfs -put README.txt input    ###把本地readme.txt上传到input中  
3. #bin/hadoop fs –lsr            ###查看本件系统所有文件  
4.     存在文件并且大小不为0则hadoop文件系统搭建成功。  
5. #bin/hadoopjar hadoop-0.20.2-examples.jar wordcount input/README.txt output  
6.                                                                                     ###将输出结果输出到output中  
7. #bin/hadoop jar hadoop-0.20.2-examples.jar wordcount input/1.txt output  

11/12/02 17:47:14 INFOinput.FileInputFormat: Total input paths to process : 1

11/12/02 17:47:14 INFO mapred.JobClient:Running job: job_201112021743_0001

11/12/02 17:47:15 INFOmapred.JobClient:  map 0% reduce 0%

11/12/02 17:47:22 INFOmapred.JobClient:  map 100% reduce 0%

11/12/02 17:47:34 INFOmapred.JobClient:  map 100% reduce 100%

11/12/02 17:47:36 INFO mapred.JobClient:Job complete: job_201112021743_0001

11/12/02 17:47:36 INFO mapred.JobClient:Counters: 17

11/12/02 17:47:36 INFOmapred.JobClient:   Job Counters

11/12/02 17:47:36 INFOmapred.JobClient:     Launched reducetasks=1

11/12/02 17:47:36 INFOmapred.JobClient:     Launched maptasks=1

11/12/02 17:47:36 INFOmapred.JobClient:     Data-local maptasks=1

11/12/02 17:47:36 INFOmapred.JobClient:   FileSystemCounters

11/12/02 17:47:36 INFOmapred.JobClient:    FILE_BYTES_READ=32523

11/12/02 17:47:36 INFOmapred.JobClient:    HDFS_BYTES_READ=44253

11/12/02 17:47:36 INFOmapred.JobClient:    FILE_BYTES_WRITTEN=65078

11/12/02 17:47:36 INFOmapred.JobClient:    HDFS_BYTES_WRITTEN=23148

11/12/02 17:47:36 INFOmapred.JobClient:   Map-Reduce Framework

11/12/02 17:47:36 INFOmapred.JobClient:     Reduce inputgroups=2367

11/12/02 17:47:36 INFOmapred.JobClient:     Combine outputrecords=2367

11/12/02 17:47:36 INFOmapred.JobClient:     Map inputrecords=734

11/12/02 17:47:36 INFOmapred.JobClient:     Reduce shufflebytes=32523

11/12/02 17:47:36 INFOmapred.JobClient:     Reduce outputrecords=2367

11/12/02 17:47:36 INFO mapred.JobClient:     Spilled Records=4734

11/12/02 17:47:36 INFOmapred.JobClient:     Map outputbytes=73334

11/12/02 17:47:36 INFOmapred.JobClient:     Combine inputrecords=7508

11/12/02 17:47:36 INFOmapred.JobClient:     Map outputrecords=7508

11/12/02 17:47:36 INFOmapred.JobClient:     Reduce inputrecords=2367 

也可以通过本地浏览器进行查看状态：50070和50030端口注意配置本地C:\Windows\System32\drivers\etc\hosts文件）

 

1. 192.168.30.150      hadoop150  
2. 192.168.30.149      hadoop149  
3. 192.168.30.148      hadoop148