Hadoop Yarn 安装
Hadoop Yarn 安装
环境：Linux, 8G 内存，60G 硬盘 ， Hadoop 2.2.0
为了构建基于Yarn体系的Spark集群，先要安装Hadoop集群，为了以后查阅方便记录了我本次安装的具体步骤。
事前准备
1. 机器准备三台主机,#后面说明了用途
- 192.168.1.1 #hadoop1 : master
- 192.168.1.2 #hadoop2 : datanode1
- 192.168.1.3 #hadoop3: datanode2
在hadoop1上， vi /etc/sysconfig/network,修改HOSTNAME=hadoop1 在hadoop2上， vi /etc/sysconfig/network,修改HOSTNAME=hadoop2
在hadoop3上， vi /etc/sysconfig/network,修改HOSTNAME=hadoop3
在三台机器上，在/etc/hosts末尾添加
- 192.168.1.1 hadoop1
- 192.168.1.2 hadoop2
- 192.168.1.3 hadoop3
在hadoop1上， 运行 hostname hadoop1 在hadoop2上， 运行 hostname hadoop2
在hadoop3上， 运行 hostname hadoop3
exit重连之后，hostname 就会变成hadoop[1-3],这样做的好处是ssh hadoop2 会自动解析连接192.168.1.2，方便以后使用。这也是短域名实现的方式。
2. 目录创建
$mkdir -p /hadoop/hdfs $mkdir -p /hadoop/tmp $mkdir -p /hadoop/log $mkdir -p /usr/java ###java安装路径 $mkdir -p /usr/hadoop ###hadoop安装路径 $chmod -R 777 /hadoop
可以根据自己的情况确定安装路径。
安装Java
1. 下载JDK，并安装，建议安装JDK 1.7。本次下载 jdk-7u60-linux-x64.tar.gz http://www.oracle.com/technetwork/java/javase/downloads/index.html$tar -zxvf jdk-7u60-linux-x64.tar.gz $mv jdk1.7.0_60 java注释：下载的java 包类型不同，安装略有不同。 2. 配置Java 环境 可以修改/etc/profile,也可以修改自己home目录下的~/.profile(ksh)或者~/.bash_profile(bash)，本次安装是bash，所以在.bash_profile 末尾添加 export JAVA_HOME=/usr/java/javaexport CLASSPATH=.:$JAVA_HOME/lib/tools.jar:/lib/dt.jarexport PATH=$JAVA_HOME/bin:$PATH 使环境立即生效，执行
$source .bash_profile
3. 检查Java是否安装成功
$ java -version java version "1.7.0_60" Java(TM) SE Runtime Environment (build 1.7.0_60-b19) Java HotSpot(TM) 64-Bit Server VM (build 24.60-b09, mixed mode)
配置SSH 无密码登录
hadoop1 上
$ mkdir .ssh $ cd .ssh $ ssh-keygen -t rsa Generating public/private rsa key pair. Enter file in which to save the key (/export/home/zilzhang/.ssh/id_rsa): Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in ~/.ssh/id_rsa. Your public key has been saved in ~/.ssh/id_rsa.pub. The key fingerprint is: b0:76:89:6a:44:8b:cd:fc:23:a4:3f:69:55:3f:83:e3 ... $ ls -lrt total 2 -rw------- 1 887 Jun 30 02:10 id_rsa -rw-r--r-- 1 232 Jun 30 02:10 id_rsa.pub $ touch authorized_keys $ cat id_rsa.pub >> authorized_keys
hadoop2和hadoop3上，同样生成公钥和私钥。
[hadoop2]$ mv id_rsa.pub pub2 [hadoop3]$ mv id_rsa.pub pub3
把pub2,pub3都scp到hadoop1上,然后
$ cat pub2 >> authorized_keys $ cat pub3 >> authorized_keys
把authorized_keys scp到hadoop2和hadoop3上，这样就可以免密码登录了。
一言以蔽之，就是在每台node上生成公钥和私钥，把所有公钥的内容汇总成authorized_keys，并把authorized_keys分发到集群所有node上相同的目录，这样每个node都拥有整个集群node的公钥，互相之间就可以免密码登录了。
验证免密码登录，在hadoop1上：
$ ssh haoop1
ssh: Could not resolve hostname haoop1: Name or service not known
[zilzhang@hadoop3 hadoop]$ ssh hadoop1
The authenticity of host 'hadoop1 (192.168.1.1)' can't be established.
RSA key fingerprint is 18:85:c6:50:0c:15:36:9c:55:34:d7:ab:0e:1c:c7:0f.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'hadoop1' (RSA) to the list of known hosts.
#################################################################
# #
# This system is for the use of authorized users only. #
# Individuals using this computer system without #
# authority, or in excess of their authority, are #
# subject to having all of their activities on this #
# system monitored and recorded by system personnel. #
# #
# In the course of monitoring individuals improperly #
# using this system, or in the course of system #
# maintenance, the activities of authorized users #
# may also be monitored. #
# #
# Anyone using this system expressly consents to such #
# monitoring and is advised that if such monitoring #
# reveals possible evidence of criminal activity, #
# system personnel may provide the evidence of such #
# monitoring to law enforcement officials. #
# #
# This system/database contains restricted data. #
# #
#################################################################
[hadoop1 ~]$
安装Hadoop
1. 下载与解压(所有节点)$ wget http://mirror.bit.edu.cn/apache/hadoop/common/hadoop-2.2.0/hadoop-2.2.0.tar.gz $ tar -zxvf hadoop-2.2.0.tar.gz $ mv hadoop-2.2.0 /usr/hadoop
以下都运行在haoop1上 2. 配置环境变量，在.bash_profile末尾添加
export HADOOP_HOME=/usr/hadoop
export HADOOP_MAPARED_HOME=${HADOOP_HOME}
export HADOOP_COMMON_HOME=${HADOOP_HOME}
export HADOOP_HDFS_HOME=${HADOOP_HOME}
export YARN_HOME=${HADOOP_HOME}
export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop
export HDFS_CONF_DIR=${HADOOP_HOME}/etc/hadoop
export YARN_CONF_DIR=${HADOOP_HOME}/etc/hadoop
export PATH=$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH
source .bash_profile 3. $HADOOP_HOME/etc/hadoop/hadoop-env.sh,末尾添加 export JAVA_HOME=/usr/java/java
4. $HADOOP_HOME/etc/hadoop/core-site.xml 添加
<property>
<name>hadoop.tmp.dir</name>
<value>/hadoop/tmp</value>
<description>A base for other temporary directories.</description>
</property>
<property>
<name>fs.default.name</name>
<value>hdfs://192.168.1.1:9000</value>
</property>
5. $HADOOP_HOME/etc/hadoop/slaves 内容变为（datanode)
192.168.1.2
192.168.1.3
6. $HADOOP_HOME/etc/hadoop/hdfs-site.xml 添加
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/hadoop/hdfs/name</value>
<final>true</final>
</property>
<property>
<name>dfs.federation.nameservice.id</name>
<value>ns1</value>
</property>
<property>
<name>dfs.namenode.backup.address.ns1</name>
<value>192.168.1.1:50100</value>
</property>
<property>
<name>dfs.namenode.backup.http-address.ns1</name>
<value>192.168.1.1:50105</value>
</property>
<property>
<name>dfs.federation.nameservices</name>
<value>ns1</value>
</property>
<property>
<name>dfs.namenode.rpc-address.ns1</name>
<value>192.168.1.1:9000</value>
</property>
<property>
<name>dfs.namenode.rpc-address.ns2</name>
<value>192.168.1.1:9000</value>
</property>
<property>
<name>dfs.namenode.http-address.ns1</name>
<value>192.168.1.1:23001</value>
</property>
<property>
<name>dfs.namenode.http-address.ns2</name>
<value>192.168.1.1:13001</value>
</property>
<property>
<name>dfs.dataname.data.dir</name>
<value>file:/hadoop/hdfs/data</value>
<final>true</final>
</property>
<property>
<name>dfs.namenode.secondary.http-address.ns1</name>
<value>192.168.1.1:23002</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address.ns2</name>
<value>192.168.1.1:23002</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address.ns1</name>
<value>192.168.1.1:23003</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address.ns2</name>
<value>192.168.1.1:23003</value>
</property>
7. $HADOOP_HOME/etc/hadoop/yarn-site.xml 添加
<property>
<name>yarn.resourcemanager.address</name>
<value>192.168.1.1:18040</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>192.168.1.1:18030</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>192.168.1.1:50030</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>192.168.1.1:18025</value>
</property>
<property>
<name>yarn.resourcemanager.admin.address</name>
<value>192.168.1.1:18141</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce.shuffle</value>
</property>
8. $HADOOP_HOME/etc/hadoop/httpfs-site.xml 添加
<property>
<name>hadoop.proxyuser.root.hosts</name>
<value>192.168.1.1</value>
</property>
<property>
<name>hadoop.proxyuser.root.groups</name>
<value>*</value>
</property>
9. $HADOOP_HOME/etc/hadoop/mapred-site.xml 添加
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
<description>Execution framework set to Hadoop YARN.</description>
</property>
这个是说明把job放到yarn 上去跑。
10. 配置同步到其他datanode上
$ scp ~/.bash_profile hadoop2:~/.bash_profile $ scp $HADOOP_HOME/etc/hadoop/hadoop-env.sh hadoop2:$HADOOP_HOME/etc/hadoop/ $ scp $HADOOP_HOME/etc/hadoop/core-site.xml hadoop2:$HADOOP_HOME/etc/hadoop/ $ scp $HADOOP_HOME/etc/hadoop/slaves hadoop2:$HADOOP_HOME/etc/hadoop/ $ scp $HADOOP_HOME/etc/hadoop/hdfs-site.xml hadoop2:$HADOOP_HOME/etc/hadoop/ $ scp $HADOOP_HOME/etc/hadoop/yarn-site.xml hadoop2:$HADOOP_HOME/etc/hadoop/ $ scp $HADOOP_HOME/etc/hadoop/httpfs-site.xml hadoop2:$HADOOP_HOME/etc/hadoop/ $ scp $HADOOP_HOME/etc/hadoop/mapred-site.xml hadoop2:$HADOOP_HOME/etc/hadoop/
把hadoop2改成hadoop3,，把配置同步到hadoop3上
启动Hadoop集群
1. 格式化hadoop namenode -format
2. 启动hdfs
start-dfs.sh
3. 启动yarn
start-yarn.sh
4. 启动httpfs
httpfs.sh start
测试hadoop集群
1. hadoop1,看看进程是否已经开启$ jps 8606 NameNode 4640 Bootstrap 17007 Jps 16077 ResourceManager 8781 SecondaryNameNode这些进程必须都有
2. 在hadoop2 上看进程是否开启
$ jps 5992 Jps 5422 NodeManager 3292 DataNode这些进程必须都有
3. hadoop fs -ls / 看是否可以列出文件 4. 测试hadoop job
hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar wordcount /input /output7
如果运行正常，可以在job monitor页面看到job运行状况。
总结：在安装过程中会遇到各种问题，这里不一一列示，以免太过啰嗦。
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