CentOS 6.4下Hadoop2.3.0详细安装过程

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前言：

Hadoop 实现了一个分布式文件系统（Hadoop Distributed File System），简称 HDFS。HDFS 有高容错性的特点，并且设计用来部署在低廉的（low-cost）硬件上；而且它提供高吞吐量（high throughput）来访问应用程序的数据，适合那些有着超大数据集（large data set）的应用程序。HDFS 放宽了（relax）POSIX 的要求，可以以流的形式访问（streaming access）文件系统中的数据。

Hadoop 的框架最核心的设计就是：HDFS 和 MapReduce.HDFS 为海量的数据提供了存储，则 MapReduce 为海量的数据提供了计算。

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CentOS 6.4 下 Hadoop 0.20.2 安装实录 http://www.linuxidc.com/Linux/2014-02/96864.htm

Ubuntu 13.04 上搭建 Hadoop 环境 http://www.linuxidc.com/Linux/2013-06/86106.htm

Ubuntu 12.10 +Hadoop 1.2.1 版本集群配置 http://www.linuxidc.com/Linux/2013-09/90600.htm

Ubuntu 上搭建 Hadoop 环境（单机模式 + 伪分布模式）http://www.linuxidc.com/Linux/2013-01/77681.htm

Ubuntu 下 Hadoop 环境的配置 http://www.linuxidc.com/Linux/2012-11/74539.htm

单机版搭建 Hadoop 环境图文教程详解 http://www.linuxidc.com/Linux/2012-02/53927.htm

————————————– 分割线 ————————————–

1，系统架构
集群角色：
主机名 ip 地址角色
name01 192.168.52.128 NameNode、ResourceManager(JobTracker)
data01 192.168.52.129 NameNode、ResourceManager(JobTracker)
data02 192.168.52.130 DataNode、NodeManager(TaskTracker)

系统环境：
centos6.5 x64 vmware vpc
硬盘：30G
内存：1G

hadoop 版本：hadoop-2.3.0

2，环境准备
2.1 系统设置
关闭 iptables：
/sbin/service iptables stop
/sbin/chkconfig iptables off
关闭 selinux：setenforce 0
sed “s@^SELINUX=enforcing@SELINUX=disabled@g” /etc/sysconfig/selinux

设置节点名称，所有节点执行：
/bin/cat <<EOF> /etc/hosts
localhost.localdomain=data01 #或者 name01，data02
192.168.52.128 name01
192.168.52.129 data01
192.168.52.130 data02
EOF

hostname node0*
send “s@HOSTNAME=localhost.localdomain@HOSTNAME=node0*@g” /etc/sysconfig/network

2.2 用户目录创建
创建 hadoop 运行账户：
使用 root 登陆所有机器后, 所有的机器都创建 hadoop 用户
useradd hadoop #设置 hadoop 用户组
passwd hadoop
#sudo useradd –s /bin/bash –d /home/hadoop –m hadoop –g hadoop –G admin // 添加一个 zhm 用户，此用户属于 hadoop 用户组，且具有 admin 权限。
#su hadoop // 切换到 zhm 用户中

创建 hadoop 相关目录:
定义需要数据及目录的存放路径，定义代码及工具存放的路径
mkdir -p /home/hadoop/src
mkdir -p /home/hadoop/tools
chown -R hadoop.hadoop /home/hadoop/*

定义数据节点存放的路径到跟目录下的 hadoop 文件夹, 这里是数据节点存放目录需要有足够的空间存放
mkdir -p /data/hadoop/hdfs
mkdir -p /data/hadoop/tmp
mkdir -p /var/logs/hadoop

设置可写权限
chmod -R 777 /data/hadoop
chown -R hadoop.hadoop /data/hadoop/*
chown -R hadoop.hadoop /var/logs/hadoop

定义 java 安装程序路径
mkdir -p /usr/lib/jvm/

2.3 配置 ssh 免密码登陆
参考文章地址：http://blog.csdn.net/ab198604/article/details/8250461
SSH 主要通过 RSA 算法来产生公钥与私钥，在数据传输过程中对数据进行加密来保障数
据的安全性和可靠性，公钥部分是公共部分，网络上任一结点均可以访问，私钥主要用于对数据进行加密，以防他人盗取数据。总而言之，这是一种非对称算法，
想要破解还是非常有难度的。Hadoop 集群的各个结点之间需要进行数据的访问，被访问的结点对于访问用户结点的可靠性必须进行验证，hadoop 采用的是 ssh 的方
法通过密钥验证及数据加解密的方式进行远程安全登录操作，当然，如果 hadoop 对每个结点的访问均需要进行验证，其效率将会大大降低，所以才需要配置 SSH 免
密码的方法直接远程连入被访问结点，这样将大大提高访问效率。
namenode 节点配置免密码登陆其他节点，每个节点都要产生公钥密码，Id_dsa.pub 为公钥，id_dsa 为私钥，紧接着将公钥文件复制成 authorized_keys 文件，这个步骤是必须的，过程如下：

2.3.1 每个节点分别产生密钥
# 提示：
(1)：.ssh 目录需要 755 权限，authorized_keys 需要 644 权限；
(2)：Linux 防火墙开着，hadoop 需要开的端口需要添加，或者关掉防火墙；
(3)：数据节点连不上主服务器还有可能是使用了机器名的缘故，还是使用 IP 地址比较稳妥。

name01(192.168.52.128)主库上面：
namenode 主节点 hadoop 账户创建服务器登陆公私钥：
mkdir -p /home/hadoop/.ssh
chown hadoop.hadoop -R /home/hadoop/.ssh
chmod 755 /home/hadoop/.ssh
su – hadoop
cd /home/hadoop/.ssh
ssh-keygen -t dsa -P ” -f id_dsa
[hadoop@name01 .ssh]$ ssh-keygen -t dsa -P ” -f id_dsa
Generating public/private dsa key pair.
open id_dsa failed: Permission denied.
Saving the key failed: id_dsa.
[hadoop@name01 .ssh]$
报错，解决办法是：setenforce 0
[root@name01 .ssh]# setenforce 0
su – hadoop
[hadoop@name01 .ssh]$ ssh-keygen -t dsa -P ” -f id_dsa
Generating public/private dsa key pair.
Your identification has been saved in id_dsa.
Your public key has been saved in id_dsa.pub.
The key fingerprint is:
52:69:9a:ff:07:f4:fc:28:1e:48:18:fe:93:ca:ff:1d hadoop@name01
The key’s randomart image is:
+–[DSA 1024]—-+
| |
| . |
| . + |
| . B . |
| * S. o |
| = o. o |
| * ..Eo |
| . . o.oo.. |
| o..o+o. |
+—————–+
[hadoop@name01 .ssh]$ ll
total 12
-rw——-. 1 hadoop hadoop 668 Aug 20 23:58 id_dsa
-rw-r–r–. 1 hadoop hadoop 603 Aug 20 23:58 id_dsa.pub
drwxrwxr-x. 2 hadoop hadoop 4096 Aug 20 23:48 touch
[hadoop@name01 .ssh]$
Id_dsa.pub 为公钥，id_dsa 为私钥，紧接着将公钥文��复制成 authorized_keys 文件，这个步骤是必须的，过程如下：
[hadoop@name01 .ssh]$ cat id_dsa.pub >> authorized_keys
[hadoop@name01 .ssh]$ ll
total 16
-rw-rw-r–. 1 hadoop hadoop 603 Aug 21 00:00 authorized_keys
-rw——-. 1 hadoop hadoop 668 Aug 20 23:58 id_dsa
-rw-r–r–. 1 hadoop hadoop 603 Aug 20 23:58 id_dsa.pub
drwxrwxr-x. 2 hadoop hadoop 4096 Aug 20 23:48 touch
[hadoop@name01 .ssh]$
用上述同样的方法在剩下的两个结点中如法炮制即可。

data01(192.168.52.129)
2.3.2 在 data01(192.168.52.129)上面执行：
useradd hadoop #设置 hadoop 用户组
passwd hadoop #设置 hadoop 密码为 hadoop
setenforce 0
su – hadoop
mkdir -p /home/hadoop/.ssh
cd /home/hadoop/.ssh
ssh-keygen -t dsa -P ” -f id_dsa
cat id_dsa.pub >> authorized_keys

2.3.3 在 data01(192.168.52.130)上面执行：
useradd hadoop #设置 hadoop 用户组
passwd hadoop #设置 hadoop 密码为 hadoop
setenforce 0
su – hadoop
mkdir -p /home/hadoop/.ssh
cd /home/hadoop/.ssh
ssh-keygen -t dsa -P ” -f id_dsa
cat id_dsa.pub >> authorized_keys

2.3.4 构造 3 个通用的 authorized_keys
在 name01(192.168.52.128)上操作:
su – hadoop
cd /home/hadoop/.ssh
scp hadoop@data01:/home/hadoop/.ssh/id_dsa.pub ./id_dsa.pub.data01
scp hadoop@data02:/home/hadoop/.ssh/id_dsa.pub ./id_dsa.pub.data02
cat id_dsa.pub.data01 >> authorized_keys
cat id_dsa.pub.data02 >> authorized_keys

如下所示：
[hadoop@name01 .ssh]$ scp hadoop@data01:/home/hadoop/.ssh/id_dsa.pub ./id_dsa.pub.data01
The authenticity of host ‘data01 (192.168.52.129)’ can’t be established.
RSA key fingerprint is 5b:22:7b:dc:0c:b8:bf:5c:92:aa:ff:93:3c:59:bd:d3.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘data01,192.168.52.129’ (RSA) to the list of known hosts.
hadoop@data01’s password:
Permission denied, please try again.
hadoop@data01’s password:
id_dsa.pub 100% 603 0.6KB/s 00:00
[hadoop@name01 .ssh]$
[hadoop@name01 .ssh]$ scp hadoop@data02:/home/hadoop/.ssh/id_dsa.pub ./id_dsa.pub.data02
The authenticity of host ‘data02 (192.168.52.130)’ can’t be established.
RSA key fingerprint is 5b:22:7b:dc:0c:b8:bf:5c:92:aa:ff:93:3c:59:bd:d3.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘data02,192.168.52.130’ (RSA) to the list of known hosts.
hadoop@data02’s password:
id_dsa.pub 100% 603 0.6KB/s 00:00
[hadoop@name01 .ssh]$
[hadoop@name01 .ssh]$ cat id_dsa.pub.data01 >> authorized_keys
[hadoop@name01 .ssh]$ cat id_dsa.pub.data02 >> authorized_keys
[hadoop@name01 .ssh]$ cat authorized_keys
ssh-dss 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 hadoop@name01
ssh-dss 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 hadoop@data01
ssh-dss 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 hadoop@data02
[hadoop@name01 .ssh]$

看到 authorized_keys 文件里面有 3 行记录，分别代表了访问 name01，data01，data02 的公用密钥。把这个 authorized_keys 公钥文件 copy 到 data01 和 data02 上面同一个目录下。

然后通过 hadoop 远程彼此连接 name01、data01、data02 就可以免密码了
scp authorized_keys hadoop@data01:/home/hadoop/.ssh/
scp authorized_keys hadoop@data02:/home/hadoop/.ssh/
然后分别在 name01、data01、data02 以 hadoop 用户执行权限赋予操作
su – hadoop
chmod 600 /home/hadoop/.ssh/authorized_keys
chmod 700 -R /home/hadoop/.ssh

测试 ssh 免秘钥登录，首次连接的时候，需要输入 yes，之后就不用输入密码直接可以 ssh 过去了。
[hadoop@name01 .ssh]$ ssh hadoop@data01
Last login: Thu Aug 21 01:53:24 2014 from name01
[hadoop@data01 ~]$ ssh hadoop@data02
The authenticity of host ‘data02 (192.168.52.130)’ can’t be established.
RSA key fingerprint is 5b:22:7b:dc:0c:b8:bf:5c:92:aa:ff:93:3c:59:bd:d3.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘data02,192.168.52.130’ (RSA) to the list of known hosts.
[hadoop@data02 ~]$ ssh hadoop@name01
The authenticity of host ‘name01 (::1)’ can’t be established.
RSA key fingerprint is 5b:22:7b:dc:0c:b8:bf:5c:92:aa:ff:93:3c:59:bd:d3.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘name01’ (RSA) to the list of known hosts.
Last login: Thu Aug 21 01:56:12 2014 from data01
[hadoop@data02 ~]$ ssh hadoop@name01
Last login: Thu Aug 21 01:56:22 2014 from localhost.localdomain
[hadoop@data02 ~]$
看到问题所在，从 data01、data02 上面 ssh 到 name01 上面没有成功，问题在哪里？

更多详情见请继续阅读下一页的精彩内容：http://www.linuxidc.com/Linux/2014-08/105915p2.htm

2.3.5 解决 ssh name01 失败的问题
[Hadoop@data01 ~]$ ssh name01
Last login: Thu Aug 21 02:25:28 2014 from localhost.localdomain
[hadoop@data01 ~]$
确实没有成功，退出来看看 /etc/hosts 的设置
[hadoop@data01 ~]$ exit
logout
[root@data01 ~]#
[root@data01 ~]# vim /etc/hosts
#127.0.0.1 localhost.localdomain localhost.localdomain localhost4 localhost4.localdomain4 localhost name01
#::1 localhost.localdomain localhost.localdomain localhost6 localhost6.localdomain6 localhost name01
localhost.localdomain=data01
192.168.52.128 name01
192.168.52.129 data01
192.168.52.130 data02
保存退出
[root@data01 ~]# su – hadoop
[hadoop@data02 ~]$ ssh name01
Warning: Permanently added the RSA host key for IP address ‘192.168.52.128’ to the list of known hosts.
Last login: Thu Aug 21 02:32:32 2014 from data01
[hadoop@name01 ~]$
OK，ssh 远程连接 name01 成功，解决方法 vim hosts 注释掉前面两行搞定，如下所示：
[root@data01 ~]# vim /etc/hosts
#127.0.0.1 localhost.localdomain localhost.localdomain localhost4 localhost4.localdomain4 localhost name01
#::1 localhost.localdomain localhost.localdomain localhost6 localhost6.localdomain6 localhost name01

2.3.6 验证 name01、data01、data02 任何 ssh 免密码登录
[hadoop@data02 ~]$ ssh name01
Last login: Thu Aug 21 02:38:46 2014 from data02
[hadoop@name01 ~]$ ssh data01
Last login: Thu Aug 21 02:30:35 2014 from localhost.localdomain
[hadoop@data01 ~]$ ssh data02
Last login: Thu Aug 21 02:32:57 2014 from localhost.localdomain
[hadoop@data02 ~]$ ssh data01
Last login: Thu Aug 21 02:39:55 2014 from name01
[hadoop@data01 ~]$ ssh name01
Last login: Thu Aug 21 02:39:51 2014 from data02
[hadoop@name01 ~]$ ssh data02
Last login: Thu Aug 21 02:39:58 2014 from data01
[hadoop@data02 ~]$

3，安装部署 hadoop 环境
3.1 java 环境准备
root 账户所有节点部署 java 环境：
安装 jdk7 版本，请参考：http://blog.itpub.net/26230597/viewspace-1256321/

3.2，安装 hadoop
3.2.1 版本 2.2.0 安装
下载软件包：
mkdir /s
chown -R hadoop.hadoop /soft
从本地 copy 到 linux 虚拟机
su – hadoop
cd /soft/hadoop
tar zxvf hadoop-2.3.0-x64.tar.gz -C /home/hadoop/src/

配置环境变量：
使用 root 设置环境变量
cat <<EOF>> /etc/profile
export HADOOP_HOME=/home/hadoop/src/hadoop-2.3.0
export JAVA_HOME=/usr/lib/jvm/jdk1.7.0_60/
export PATH=/home/hadoop/src/hadoop-2.3.0/bin:/home/hadoop/src/hadoop-2.3.0/sbin:$PATH
EOF
source /etc/profile

3.3，hadoop 配置文件
hadoop 群集涉及配置文件：hadoop-env.sh core-site.xml hdfs-site.xml mapred-site.xml yarn-env.sh slaves yarn-site.xml
涉及到的配置文件有 7 个：
cp /home/hadoop/src/hadoop-2.3.0/etc/hadoop
hadoop-env.sh
yarn-env.sh
slaves
core-site.xml
hdfs-site.xml
mapred-site.xml
yarn-site.xml

以上个别文件默认不存在的，可以复制相应的 template 文件获得

a. 修改 hadoop-env.sh 配置：
vim hadoop-env.sh
增加 java 环境变量
export JAVA_HOME=”/usr/lib/jvm/jdk1.7.0_60″

b. 修改 yarn-env.sh 配置：
vim yarn-env.sh
修改 java_home 值为 export JAVA_HOME=”/usr/lib/jvm/jdk1.7.0_60″

c. 修改 slaves 配置, 写入所有从节点主机名：
vim slaves
data01
data02

d. 修改 core-site.xml 配置文件:
vim core-site.xml

<configuration>
<property>
<name>fs.default.name</name>
<value>hdfs://name01:9000</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>131072</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/data/hadoop/tmp</value>
<description>A base for other temporary directories.</description>
</property>
<property>
<name>hadoop.proxyuser.hduser.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.hduser.groups</name>
<value>*</value>
</property>
</configuration>

e. 修改 hdfs-site.xml 配置：
创建相关目录
mkdir -p /data/hadoop/name
chown -R hadoop.hadoop /data/hadoop/name
mkdir -p /data/hadoop/data
chown -R hadoop.hadoop /data/hadoop/data

vim hdfs-site.xml
<configuration>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>name01:9001</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/data/hadoop/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/data/hadoop/data</value>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
<description>storage copy number</description>
</property>
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>
</configuration>

f. 修改 mapred-site.xml 配置
# 这个文件不存在，需要自己 VIM 创建
vim mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>name01:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>name01:19888</value>
</property>
# <property>
# <name>mapred.job.tracker</name>
# <value>name01:9001</value>
# <description>JobTracker visit path</description>
# </property>
</configuration>

g. 修改 yarn-site.xml 配置：
vim yarn-site.xml
<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<property>
<name>yarn.resourcemanager.address</name>
<value>name01:8032</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>name01:8030</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>name01:8031</value>
</property>

<property>
<name>yarn.resourcemanager.admin.address</name>
<value>name01:8033</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>name01:8088</value>
</property>
</configuration>
所有节点采用相同的配置文件和安装目录，直接整个目录 copy 过去安装把 name01 上面的所有 hadoop 目录 copy 到 data02 上面去：
scp -r /home/hadoop/* hadoop@data02:/home/hadoop/
scp -r /data/hadoop/* hadoop@data02:/data/hadoop/

把 name01 上面的所有 hadoop 目录 copy 到 data01 上面去：
scp -r /home/hadoop/* hadoop@data01:/home/hadoop/
scp -r /data/hadoop/* hadoop@data01:/data/hadoop/

3.3，格式化文件系统
在 name01 主库上面执行 hadoop namenode -format 操作，格式化 hdfs 文件系统。
su – hadoop
[hadoop@localhost ~]$ hadoop namenode -format
[hadoop@name01 bin]$ hadoop namenode -format
DEPRECATED: Use of this script to execute hdfs command is deprecated.
Instead use the hdfs command for it.

14/08/21 04:51:20 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG: host = name01/192.168.52.128
STARTUP_MSG: args = [-format]
STARTUP_MSG: version = 2.3.0
STARTUP_MSG: classpath = /home/hadoop/src/hadoop-2.3.0/etc/hadoop:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/servlet-api-2.5.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-configuration-1.6.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/mockito-all-1.8.5.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-httpclient-3.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jsp-api-2.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jetty-6.1.26.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/httpcore-4.2.5.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jackson-xc-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/junit-4.8.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-el-1.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-digester-1.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-lang-2.6.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/httpclient-4.2.5.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/zookeeper-3.4.5.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/hadoop-auth-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/asm-3.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/log4j-1.2.17.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/xmlenc-0.52.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-net-3.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jsr305-1.3.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/guava-11.0.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jetty-util-6.1.26.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-collections-3.2.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-codec-1.4.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jets3t-0.9.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jersey-server-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/paranamer-2.3.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/xz-1.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/hadoop-annotations-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-io-2.4.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-compress-1.4.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/netty-3.6.2.Final.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-cli-1.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/avro-1.7.4.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-math3-3.1.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jersey-json-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jersey-core-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/activation-1.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/stax-api-1.0-2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jettison-1.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/commons-logging-1.1.3.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jackson-jaxrs-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/lib/jsch-0.1.42.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/hadoop-common-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/hadoop-nfs-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/common/hadoop-common-2.3.0-tests.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-el-1.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/asm-3.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/guava-11.0.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-io-2.4.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/hadoop-hdfs-2.3.0-tests.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/hadoop-hdfs-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/hdfs/hadoop-hdfs-nfs-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/servlet-api-2.5.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/commons-httpclient-3.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jetty-6.1.26.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/aopalliance-1.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jackson-xc-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/commons-lang-2.6.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/zookeeper-3.4.5.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jline-0.9.94.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/guice-3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/asm-3.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/log4j-1.2.17.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jsr305-1.3.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/guava-11.0.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/commons-codec-1.4.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jersey-client-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/javax.inject-1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jersey-server-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/xz-1.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/commons-io-2.4.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/commons-cli-1.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jersey-json-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jersey-core-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/activation-1.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jettison-1.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/lib/jackson-jaxrs-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-server-tests-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-common-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-client-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-api-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-server-common-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/junit-4.10.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/guice-3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/asm-3.2.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/javax.inject-1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/xz-1.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/hadoop-annotations-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.3.0-tests.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.3.0.jar:/home/hadoop/src/hadoop-2.3.0/contrib/capacity-scheduler/*.jar:/home/hadoop/src/hadoop-2.3.0/contrib/capacity-scheduler/*.jar
STARTUP_MSG: build = Unknown -r Unknown; compiled by ‘root’ on 2014-03-03T02:27Z
STARTUP_MSG: java = 1.7.0_60
************************************************************/
14/08/21 04:51:20 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
Formatting using clusterid: CID-9a84257b-77e1-4f79-a5bb-b9564061bc52
14/08/21 04:51:24 INFO namenode.FSNamesystem: fsLock is fair:true
14/08/21 04:51:24 INFO namenode.HostFileManager: read includes:
HostSet(
)
14/08/21 04:51:24 INFO namenode.HostFileManager: read excludes:
HostSet(
)
14/08/21 04:51:24 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000
14/08/21 04:51:24 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
14/08/21 04:51:24 INFO util.GSet: Computing capacity for map BlocksMap
14/08/21 04:51:24 INFO util.GSet: VM type = 64-bit
14/08/21 04:51:24 INFO util.GSet: 2.0% max memory 966.7 MB = 19.3 MB
14/08/21 04:51:24 INFO util.GSet: capacity = 2^21 = 2097152 entries
14/08/21 04:51:24 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
14/08/21 04:51:24 INFO blockmanagement.BlockManager: defaultReplication = 3
14/08/21 04:51:24 INFO blockmanagement.BlockManager: maxReplication = 512
14/08/21 04:51:24 INFO blockmanagement.BlockManager: minReplication = 1
14/08/21 04:51:24 INFO blockmanagement.BlockManager: maxReplicationStreams = 2
14/08/21 04:51:24 INFO blockmanagement.BlockManager: shouldCheckForEnoughRacks = false
14/08/21 04:51:24 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000
14/08/21 04:51:24 INFO blockmanagement.BlockManager: encryptDataTransfer = false
14/08/21 04:51:24 INFO blockmanagement.BlockManager: maxNumBlocksToLog = 1000
14/08/21 04:51:25 INFO namenode.FSNamesystem: fsOwner = hadoop (auth:SIMPLE)
14/08/21 04:51:25 INFO namenode.FSNamesystem: supergroup = supergroup
14/08/21 04:51:25 INFO namenode.FSNamesystem: isPermissionEnabled = true
14/08/21 04:51:25 INFO namenode.FSNamesystem: HA Enabled: false
14/08/21 04:51:25 INFO namenode.FSNamesystem: Append Enabled: true
14/08/21 04:51:26 INFO util.GSet: Computing capacity for map INodeMap
14/08/21 04:51:26 INFO util.GSet: VM type = 64-bit
14/08/21 04:51:26 INFO util.GSet: 1.0% max memory 966.7 MB = 9.7 MB
14/08/21 04:51:26 INFO util.GSet: capacity = 2^20 = 1048576 entries
14/08/21 04:51:26 INFO namenode.NameNode: Caching file names occuring more than 10 times
14/08/21 04:51:26 INFO util.GSet: Computing capacity for map cachedBlocks
14/08/21 04:51:26 INFO util.GSet: VM type = 64-bit
14/08/21 04:51:26 INFO util.GSet: 0.25% max memory 966.7 MB = 2.4 MB
14/08/21 04:51:26 INFO util.GSet: capacity = 2^18 = 262144 entries
14/08/21 04:51:26 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
14/08/21 04:51:26 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0
14/08/21 04:51:26 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension = 30000
14/08/21 04:51:26 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
14/08/21 04:51:26 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
14/08/21 04:51:26 INFO util.GSet: Computing capacity for map Namenode Retry Cache
14/08/21 04:51:26 INFO util.GSet: VM type = 64-bit
14/08/21 04:51:26 INFO util.GSet: 0.029999999329447746% max memory 966.7 MB = 297.0 KB
14/08/21 04:51:26 INFO util.GSet: capacity = 2^15 = 32768 entries
14/08/21 04:51:27 INFO common.Storage: Storage directory /data/hadoop/name has been successfully formatted.
14/08/21 04:51:27 INFO namenode.FSImage: Saving image file /data/hadoop/name/current/fsimage.ckpt_0000000000000000000 using no compression
14/08/21 04:51:27 INFO namenode.FSImage: Image file /data/hadoop/name/current/fsimage.ckpt_0000000000000000000 of size 218 bytes saved in 0 seconds.
14/08/21 04:51:27 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
14/08/21 04:51:27 INFO util.ExitUtil: Exiting with status 0
14/08/21 04:51:27 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at name01/192.168.52.128
************************************************************/

注意：上面只要出现“successfully formatted”就表示成功了，只在第一次启动的时候格式化，不要每次启动都格式化。理解为我们新买了块移动硬盘，使用之前总要格式化硬盘。如果真的有必要再次格式化，请先把“$HADOOP_HOME/tmp”目录下的文件全部删除。
读者可以自己观察目录”$HADOOP_HOME/tmp”在格式化前后的变化情况。格式化操作很少有出现失败的情况。如果真出现了，请检查配置是否正确。