hadoop环境搭建与測试
搭建參看：
查看集群状态：
[root@master bin]# hdfs dfsadmin -report Configured Capacity: 36729053184 (34.21 GB) Present Capacity: 13322559491 (12.41 GB) DFS Remaining: 13322240000 (12.41 GB) DFS Used: 319491 (312.00 KB) DFS Used%: 0.00% Under replicated blocks: 0 Blocks with corrupt replicas: 0 Missing blocks: 0 ------------------------------------------------- Datanodes available: 2 (2 total, 0 dead) Live datanodes: Name: 192.168.137.103:50010 (slave2) Hostname: slave2 Decommission Status : Normal Configured Capacity: 18364526592 (17.10 GB) DFS Used: 45056 (44 KB) Non DFS Used: 11702558720 (10.90 GB) DFS Remaining: 6661922816 (6.20 GB) DFS Used%: 0.00% DFS Remaining%: 36.28% Last contact: Thu Nov 06 21:26:34 CST 2014 Name: 192.168.137.102:50010 (slave1) Hostname: slave1 Decommission Status : Normal Configured Capacity: 18364526592 (17.10 GB) DFS Used: 274435 (268.00 KB) Non DFS Used: 11703934973 (10.90 GB) DFS Remaining: 6660317184 (6.20 GB) DFS Used%: 0.00% DFS Remaining%: 36.27% Last contact: Thu Nov 06 21:26:31 CST 2014
查看文件块组成：
[root@master bin]# hdfs fsck / -files -blocks Status: HEALTHY Total size: 219351 B Total dirs: 11 Total files: 12 Total symlinks: 0 Total blocks (validated): 10 (avg. block size 21935 B) Minimally replicated blocks: 10 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 2 Number of racks: 1 FSCK ended at Thu Nov 06 21:27:34 CST 2014 in 29 milliseconds The filesystem under path '/' is HEALTHY [root@master bin]# [hadoop@master hadoop2.2]$
查看各节点状态：
查看ResourceManager上cluster执行状态：
在环境搭建的过程中，假设出现不论什么问题。都要去查看日志
日志路径是：/home/hadoop/hadoop2.2/logs
在配置完毕HADOOP_HOME之后，而且使之生效，那么接下来就进行測试，启动hadoop
首先在/文件夹下创建input文件
[root@master /]# vim input。在该文件里输入例如以下内容：I am a very good person! I love you America ! 将之上传到hdfs上：[root@master /]# hadoop fs -put /input /input 在hadoop的bin文件夹下运行：[root@master bin]# ./yarn jar ../share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar wordcount /input /output 这样运行完成之后能够看到：output文件夹下有两个文件 [root@master ~]# hadoop fs -ls /output Found 2 items -rw-r--r-- 1 root supergroup 0 2014-11-06 21:21 /output/_SUCCESS -rw-r--r-- 1 root supergroup 64 2014-11-06 21:21 /output/part-r-00000 接着能够查看Wordcount的统计结果： [root@master bin]# hadoop fs -cat /output/part-r-00000 ! 1 America 1 I 2 a 1 am 1 good 1 love 1 person! 1 very 1 you 1 [root@master bin]#
