hadoop 2.04测试环境搭建

1：规划

oracle linux6.4上搭建hadoop2.0环境

192.168.100.171 linux1 (namenode)

192.168.100.172 linux2 (预留当namenode)

192.168.100.173 linux3 (datanode)

192.168.100.174 linux4 (datanode)

192.168.100.175 linux5 (datanode)

2：创建VMware Workstation样板机

a：安装oracle linux 6.4虚拟机linux1，开通ssh服务,屏蔽iptables服务

[root@linux1 ~]# chkconfig sshd on

[root@linux1 ~]# chkconfig iptables off

[root@linux1 ~]# chkconfig ip6tables off

[root@linux1 ~]# chkconfig postfix off

b：关闭虚拟机linux1，增加一个新的硬盘到共享目录作为共享硬盘用（使用SCSI1:0接口)，

修改linux1.vmx，添加和修改参数:

disk.locking="FALSE"

diskLib.dataCacheMaxSize = "0"

disk.EnableUUID = "TRUE"

scsi1.present = "TRUE"

scsi1.sharedBus = "Virtual"

scsi1.virtualDev = "lsilogic"

c：重启虚拟机linux1，下载J***A到共享硬盘，安装J***A，在环境变量配置文件/etc/profile末尾增加：

J***A_HOME=/usr/java/jdk1.7.0_21; export J***A_HOME

JRE_HOME=/usr/java/jdk1.7.0_21/jre; export JRE_HOME

CLASSPATH=.:$J***A_HOME/lib:$J***A_HOME/lib/tools.jar; export CLASSPATH

PATH=$J***A_HOME/bin:$JRE_HOME/bin:$PATH; export PATH

************************************************************************

为了方便，配置hadoop环境变量到/etc/profile或hadoop用户~/.bashrc

export HADOOP_PREFIX=/app/hadoop204

export PATH=$PATH:$HADOOP_PREFIX/bin

export PATH=$PATH:$HADOOP_PREFIX/sbin

export HADOOP_MAPRED_HOME=${HADOOP_PREFIX}

export HADOOP_COMMON_HOME=${HADOOP_PREFIX}

export HADOOP_HDFS_HOME=${HADOOP_PREFIX}

export YARN_HOME=${HADOOP_PREFIX}

************************************************************************

d：修改/etc/hosts，增加：

192.168.100.171 linux1

192.168.100.172 linux2

192.168.100.173 linux3

192.168.100.174 linux4

192.168.100.175 linux5

e：修改/etc/sysconfig/selinux

SELINUX=disabled

f：增加hadoop用户及安装hadoop文件：

[root@linux1 ~]# useradd hadoop -g root

[root@linux1 ~]# passwd hadoop

[root@linux1 ~]# cd /

[root@linux1 /]# mkdir /app

[root@linux1 /]# cd /app

[root@linux1 app]# tar -zxf /mnt/mysoft/LinuxSoft/hadoop-2.0.4-alpha.tar.gz

[root@linux1 app]# mv hadoop-2.0.4-alpha hadoop204

[root@linux1 app]# chown hadoop:root -R /app/hadoop204

[root@linux1 hadoop204]# su - hadoop

[hadoop@linux1 ~]$ cd /app/hadoop204

[hadoop@linux1 hadoop204]$ mkdir tmp

g：修改hadoop相关配置文件：

[hadoop@linux1 hadoop204]$ cd etc/hadoop

[hadoop@linux1 hadoop]$ vi core-site.xml

******************************************************************************

<configuration>

<property>

<name>io.native.lib.available</name>

<value>true</value>

</property>

<property>

<name>fs.default.name</name>

<value>hdfs://linux1:9000</value>

<description>The name of the default file system. Either the literal string "local" or a host:port for NDFS. </description>

<final>true</final>

</property>

</configuration>

******************************************************************************

[hadoop@linux1 hadoop]$ vi hdfs-site.xml

******************************************************************************

<configuration>

<property>

<name>dfs.namenode.name.dir</name>

<value>file:/app/hadoop204/dfs/name</value>

<description>Determines where on the local filesystem the DFS name node should store the name table. If this is a comma-delimited list of directories then the name table is replicated in all of the directories, for redundancy. </description>

<final>true</final>

</property>

<property>

<name>dfs.datanode.data.dir</name>

<value>file:/app/hadoop204/dfs/data</value>

<description>Determines where on the local filesystem an DFS data node should store its blocks. If this is a comma-delimited list of directories, then data will be stored in all named directories, typically on different devices. Directories that do not exist
are ignored.</description>

<final>true</final>

</property>

<property>

<name>dfs.replication</name>

<value>1</value>

</property>

<property>

<name>dfs.permissions</name>

<value>false</value>

</property>

</configuration>

******************************************************************************

[hadoop@linux1 hadoop]$ vi mapred-site.xml

******************************************************************************

<configuration>

<property>

<name>mapreduce.framework.name</name>

<value>yarn</value>

</property>

<property>

<name>mapreduce.job.tracker</name>

<value>hdfs://linux1:9001</value>

<final>true</final>

</property>

<property>

<name>mapred.system.dir</name>

<value>file:/app/hadoop204/mapred/system</value>

<final>true</final>

</property>

<property>

<name>mapred.local.dir</name>

<value>file:/app/hadoop204/mapred/local</value>

<final>true</final>

</property>

</configuration>

******************************************************************************

[hadoop@linux1 hadoop]$ vi yarn-site.xml

******************************************************************************

<configuration>

<property>

<name>yarn.resourcemanager.address</name>

<value>linux1:8080</value>

</property>

<property>

<name>yarn.resourcemanager.scheduler.address</name>

<value>linux1:8081</value>

</property>

<property>

<name>yarn.resourcemanager.resource-tracker.address</name>

<value>linux1:8082</value>

</property>

<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>

</configuration>

******************************************************************************

[hadoop@linux1 hadoop]$ vi hadoop-env.sh

******************************************************************************

export J***A_HOME=/usr/java/jdk1.7.0_21

export HADOOP_FREFIX=/app/hadoop204

export HADOOP_COMMON_HOME=${HADOOP_FREFIX}

export HADOOP_HDFS_HOME=${HADOOP_FREFIX}

export PATH=$PATH:$HADOOP_FREFIX/bin

export PATH=$PATH:$HADOOP_FREFIX/sbin

export HADOOP_MAPRED_HOME=${HADOOP_FREFIX}

export YARN_HOME=${HADOOP_FREFIX}

export HADOOP_CONF_HOME=${HADOOP_FREFIX}/etc/hadoop

export YARN_CONF_DIR=${HADOOP_FREFIX}/etc/hadoop

******************************************************************************

[hadoop@linux1 hadoop]$ vi yarn-env.sh

******************************************************************************

export J***A_HOME=/usr/java/jdk1.7.0_21

export HADOOP_FREFIX=/app/hadoop204

export HADOOP_COMMON_HOME=${HADOOP_FREFIX}

export HADOOP_HDFS_HOME=${HADOOP_FREFIX}

export PATH=$PATH:$HADOOP_FREFIX/bin

export PATH=$PATH:$HADOOP_FREFIX/sbin

export HADOOP_MAPRED_HOME=${HADOOP_FREFIX}

export YARN_HOME=${HADOOP_FREFIX}

export HADOOP_CONF_HOME=${HADOOP_FREFIX}/etc/hadoop

export YARN_CONF_DIR=${HADOOP_FREFIX}/etc/hadoop

******************************************************************************

h：配置ssh使用证书验证/etc/ssh/sshd_config，打开注释：

RSAAuthentication yes

PubkeyAuthentication yes

AuthorizedKeysFile .ssh/authorized_keys

3：配置ssh

a：关闭样板机，分别复制成linux2、linux3、linux4、linux5：

修改vmware workstation配置文件的displayname；

修改虚拟机的下列文件中相关的信息

/etc/udev/rules.d/70-persistent-net.rules

/etc/sysconfig/network

/etc/sysconfig/network-scripts/ifcfg-eth0

b：启动linux1、linux2、linux3、linux4、linux5，确保相互之间能ping通。

c：配置ssh，确保linux1能无验证访问其他节点

[root@linux1 tmp]# su - hadoop

[hadoop@linux1 ~]$ ssh-keygen -t rsa

Generating public/private rsa key pair.

Enter file in which to save the key (/home/hadoop/.ssh/id_rsa):

Created directory '/home/hadoop/.ssh'.

Enter passphrase (empty for no passphrase):

Enter same passphrase again:

Your identification has been saved in /home/hadoop/.ssh/id_rsa.

Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub.

The key fingerprint is:

17:37:98:fa:7e:5c:e4:8b:b4:7e:bb:59:28:8f:45:bd hadoop@linux1

The key's randomart image is:

+--[ RSA 2048]----+

| |

| o |

| + o |

| . o ... |

| S . o. .|

| o ..o..|

| .o.+oE.|

| . ==oo |

| .oo.=o |

+-----------------+

[hadoop@linux1 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@linux1

[hadoop@linux1 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@linux2

[hadoop@linux1 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@linux3

[hadoop@linux1 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@linux4

[hadoop@linux1 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@linux5

验证可否无密码访问：

[hadoop@linux1 ~]$ ssh linux1 date

[hadoop@linux1 ~]$ ssh linux2 date

[hadoop@linux1 ~]$ ssh linux3 date

[hadoop@linux1 ~]$ ssh linux4 date

[hadoop@linux1 ~]$ ssh linux5 date

4：初始化hadoop

[hadoop@linux1 hadoop204]$ /app/hadoop204/bin/hdfs namenode -format

5：配置linux1的slaves

[hadoop@linux1 hadoop204]$ vi etc/hadoop/slaves

192.168.100.173

192.168.100.174

192.168.100.175

6：启动hadoop

[hadoop@linux1 hadoop204]$ /app/hadoop204/sbin/start-all.sh

This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh

13/06/11 10:08:28 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

Starting namenodes on [linux1]

linux1: starting namenode, logging to /app/hadoop204/logs/hadoop-hadoop-namenode-linux1.out

192.168.100.174: starting datanode, logging to /app/hadoop204/logs/hadoop-hadoop-datanode-linux4.out

192.168.100.175: starting datanode, logging to /app/hadoop204/logs/hadoop-hadoop-datanode-linux5.out

192.168.100.173: starting datanode, logging to /app/hadoop204/logs/hadoop-hadoop-datanode-linux3.out

Starting secondary namenodes [0.0.0.0]

0.0.0.0: starting secondarynamenode, logging to /app/hadoop204/logs/hadoop-hadoop-secondarynamenode-linux1.out

13/06/11 10:08:50 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

starting yarn daemons

starting resourcemanager, logging to /app/hadoop204/logs/yarn-hadoop-resourcemanager-linux1.out

192.168.100.174: starting nodemanager, logging to /app/hadoop204/logs/yarn-hadoop-nodemanager-linux4.out

192.168.100.175: starting nodemanager, logging to /app/hadoop204/logs/yarn-hadoop-nodemanager-linux5.out

192.168.100.173: starting nodemanager, logging to /app/hadoop204/logs/yarn-hadoop-nodemanager-linux3.out

7：修改linux启动到console状态。以上只是初步测试，虽然http://192.168.100.171:8088可以访问，但还有许多问题：

启动中的Unable to load native-hadoop library for your platform错误，可以参见：

Hadoop本地库与系统版本不一致引起的错误解决方法

HADOOP的本地库（NATIVE LIBRARIES）介绍

192.168.100.172 namenode配置，可以参见：

Hadoop 0.23.0初探

另经测试/app/hadoop204/etc/hadoop/hadoop-env.sh和/app/hadoop204/etc/hadoop/yarn-env.sh中的J***A_HOME配置需要绝对路径，不然即使/etc/profile中已经配置了J***A_HOME还是会报错。

路还很长。。。。