Hadoop2.5 HA搭建
准备工作：关闭防火墙，时间同步（必做）
hbase--hadoop--jdk对应关系
http://hbase.apache.org/book.html#basic.prerequisites
service iptables stop
ntpdate 0.asia.pool.ntp.org1、主机映射hadoop1，hadoop2，hadoop3，hadoop4
Vi /etc/hosts
192.168.25.151 hadoop1
192.168.25.152 hadoop2
192.168.25.153 hadoop3
192.168.25.154 hadoop4
2、免密码登录
hadoop1，hadoop2，hadoop3，hadoop4
ssh-****** -t dsa -P '' -f ~/.ssh/id_dsa
cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys
验证自己登录到自己上
如：ssh hadoop1
Hadoop1
cd ~/.ssh
Hadoop1的公钥拷贝到hadoop2，hadoop3，hadoop4
scp ./id_dsa.pub [email protected]:/opt/
scp ./id_dsa.pub [email protected]:/opt/
scp ./id_dsa.pub [email protected]:/opt/
cat /opt/id_dsa.pub >> ~/.ssh/authorized_keys
hadoop3上
cat /opt/id_dsa.pub >> ~/.ssh/authorized_keys
hadoop4上
cat /opt/id_dsa.pub >> ~/.ssh/authorized_keys
验证hadoop1登录到hadoop2，hadoop3，hadoop4
ssh hadoop2 exit
ssh hadoop3 exit
ssh hadoop4 exit
hadoop2拷贝到Hadoop1
scp ./id_dsa.pub [email protected]:/opt/
Hadoop1上
cat /opt/id_dsa.pub >> ~/.ssh/authorized_keys
ssh hadoop1
3、环境变量hadoop1，hadoop2，hadoop3，hadoop4
vi ~/.bash_profile
export HADOOP_HOME=/home/hadoop-2.5.1
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export ZOOKEEPER_HOME=/home/zookeeper-3.4.6
export PATH=$PATH:$ZOOKEEPER_HOME/bin
source ~/.bash_profile
四台机器：hadoop1，hadoop2，hadoop3，hadoop4
|
NN |
DN |
ZK |
ZKFC |
JN |
RM |
NM（任务管理） |
Hadoop1 |
Y |
|
Y |
Y |
|
Y |
|
Hadoop2 |
Y |
Y |
Y |
Y |
Y |
Y |
Y |
Hadoop3 |
|
Y |
Y |
|
Y |
|
Y |
Hadoop4 |
|
Y |
|
|
Y |
|
Y |
在hadoop1上解压hadoop-2.5.1.tar.gz
1. core-site.xml
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://bjsxt</value>
</property>
<property>
<name>ha.zookeeper.quorum</name>
<value>hadoop1:2181,hadoop2:2181,hadoop3:2181</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/hadoop</value>
</property>
</configuration>
2. hdfs-site.xml
<configuration>
<property>
<name>dfs.nameservices</name>
<value>bjsxt</value>
</property>
<property>
<name>dfs.ha.namenodes.bjsxt</name>
<value>nn1,nn2</value>
</property>
<property>
<name>dfs.namenode.rpc-address.bjsxt.nn1</name>
<value>hadoop1:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.bjsxt.nn2</name>
<value>hadoop2:8020</value>
</property>
<property>
<name>dfs.namenode.http-address.bjsxt.nn1</name>
<value>hadoop1:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.bjsxt.nn2</name>
<value>hadoop2:50070</value>
</property>
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://hadoop2:8485;hadoop3:8485;hadoop4:8485/bjsxt</value
>
</property>
<property>
<name>dfs.client.failover.proxy.provider.bjsxt</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<property>
<name>dfs.ha.fencing.methods</name>
<value>sshfence</value>
</property>
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/root/.ssh/id_dsa</value>
</property>
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/opt/hadoop/data</value>
</property>
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
</configuration>
3. vi hadoop-env.sh
将其中的JAVA_HOME 修改成为
export JAVA_HOME=/usr/java/jdk1.7.0_79
hadoop1拷贝到hadoop2，hadoop3，hadoop4
scp -r hadoop-2.5.1/ [email protected]:/home/
scp -r hadoop-2.5.1/ [email protected]:/home/
scp -r hadoop-2.5.1/ [email protected]:/home/
4. 准备zookeeper
a) 三台zookeeper：hadoop1，hadoop2，hadoop3
b) 编辑zoo.cfg配置文件
i. 修改dataDir=/opt/zookeeper
ii. clientPort=2181
iii. tickTime=2000
iv. initLimit=5
v. syncLimit=2
vi. server.1=hadoop1:2888:3888
server.2=hadoop2:2888:3888
server.3=hadoop3:2888:3888
c) 在所有节点的dataDir目录中创建/opt/zookeeper,在/opt/zookeeper中创建一个myid的文件，文件内容为1，2，3
5. 配置hadoop中的slaves，分别是 hadoop2，hadoop3，hadoop4
6. 启动三个zookeeper：./zkServer.sh start
7. 启动三个JournalNode：hadoop-daemon.sh start journalnode
8. 在其中一个namenode上格式化：hdfs namenode -format
9. 把刚刚格式化之后的元数据拷贝到另外一个namenode上
a) 启动刚刚格式化的namenode hadoop-daemon.sh start namenode
b) 在没有格式化的namenode上执行：hdfs namenode -bootstrapStandby
c) 启动第二个namenode hadoop-daemon.sh start namenode
10. 在其中一个namenode上初始化zkfc：hdfs zkfc -formatZK
11. 停止上面节点：stop-dfs.sh
12. 全面启动：start-dfs.sh
12.1 集群yarn配置，所有节点搭建分布式计算功能
vi mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
vi yarn-site.xml
<configuration><property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.resourcemanager.ha.enabled</name>
<value>true</value>
</property>
<property>
<name>yarn.resourcemanager.cluster-id</name>
<value>coolfxl</value>
</property>
<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm1</name>
<value>hadoop1</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>hadoop2</value>
</property>
<property>
<name>yarn.resourcemanager.zk-address</name>
<value>hadoop1:2181,hadoop2:2181,hadoop3:2181</value>
</property>
</configuration>
13. 重启服务器之后：
service iptables stop
ntpdate 0.asia.pool.ntp.org
zkServer.sh start
hadoop1 start-dfs.sh
hadoop1 start-yarn.sh
hadoop2 yarn-daemon.sh start resourcemanager
任何一台含有hadoop的节点上，都可以进行创建文件
对应命令：hdfs dfs -mkdir /test （文件夹名称）
读取文件内容
hdfs dfs -text /usr/nginx/html/index.html （文件名称）
文件上传
hdfs dfs -put srcFile destFile