hadoop集群搭建(namenode是单点的) http://www.cnblogs.com/kisf/p/7456290.html
HA集群需要zk, zk搭建：http://www.cnblogs.com/kisf/p/7357184.html zk可视化管理工具：http://www.cnblogs.com/kisf/p/7365690.html
| hostname | ip | 安装软件 | 启动进程 |
| master1 | 10.112.29.9 | jdk,hadoop | NameNode,ResourceManager,JournalNode,DFSZKFailoverController |
| master2,slave1 | 10.112.29.10 | jdk,hadoop | NameNode,JournalNode,DFSZKFailoverController,DataNode,NodeManager |
| slave2 | 10.112.28.237 | jdk,hadoop | JournalNode,DataNode,NodeManager |
1. 修改/etc/hosts, 三个机器一致。
vim /etc/hosts 10.112.29.9 master1
10.112.29.10 master2
10.112.29.10 slave1
10.112.28.237 slave2
10.112.28.245 zk1
10.112.28.229 zk2
10.112.28.241 zk3
2. 修改core-site.xml, hdfs-site.xml及yarn-site.xml, mapred-site.xml不变。
core-site.xml
<configuration>
<!-- 指定hdfs的nameservice为ns -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://ns</value>
</property>
<!-- 指定hadoop运行时产生文件的存储路径 -->
<property>
<name>hadoop.tmp.dir</name>
<value>file:/xxx/soft/hadoop-2.7.3/tmp</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>4096</value>
</property>
<!--指定zookeeper地址-->
<property>
<name>ha.zookeeper.quorum</name>
<value>zk1:2181,zk2:2181,zk3:2181</value>
</property>
</configuration>
hdfs-site.xml
<configuration> <!--指定hdfs的nameservice为ns，需要和core-site.xml中的保持一致 -->
<property>
<name>dfs.nameservices</name>
<value>ns</value>
</property> <!-- ns下面有两个NameNode，分别是nn1，nn2 -->
<property>
<name>dfs.ha.namenodes.ns</name>
<value>nn1,nn2</value>
</property> <!-- nn1的RPC通信地址 -->
<property>
<name>dfs.namenode.rpc-address.ns.nn1</name>
<value>master1:9000</value>
</property> <!-- nn1的http通信地址 -->
<property>
<name>dfs.namenode.http-address.ns.nn1</name>
<value>master1:50070</value>
</property> <!-- nn2的RPC通信地址 -->
<property>
<name>dfs.namenode.rpc-address.ns.nn2</name>
<value>master2:9000</value>
</property> <!-- nn2的http通信地址 -->
<property>
<name>dfs.namenode.http-address.ns.nn2</name>
<value>master2:50070</value>
</property> <!-- 指定NameNode的元数据在JournalNode上的存放位置 -->
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://slave1:8485;slave2:8485/ns</value>
</property> <!-- 指定JournalNode在本地磁盘存放数据的位置 -->
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/xxx/soft/hadoop-2.7.3/journal</value>
</property> <!-- 开启NameNode故障时自动切换 -->
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property> <!-- 配置失败自动切换实现方式 -->
<property>
<name>dfs.client.failover.proxy.provider.ns</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property> <!-- 配置隔离机制，如果ssh是默认22端口，value直接写sshfence即可 -->
<property>
<name>dfs.ha.fencing.methods</name>
<value>sshfence</value>
</property> <!-- 使用隔离机制时需要ssh免登陆 -->
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/root/.ssh/id_rsa</value>
</property> <!-- 设置namenode存放的路径 -->
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/xxx/soft/hadoop-2.7.3/tmp/name</value>
</property> <!-- 设置hdfs副本数量 -->
<property>
<name>dfs.replication</name>
<value>2</value>
</property> <!-- 设置datanode存放的路径 -->
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/xxx/soft/hadoop-2.7.3/tmp/data</value>
</property> <!-- 在NN和DN上开启WebHDFS (REST API)功能,不是必须 -->
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property> </configuration>
yarn-site.xml
<configuration>
<!-- Site specific YARN configuration properties -->
<!-- 设置 resourcemanager 在哪个节点-->
<property>
<name>yarn.resourcemanager.hostname</name>
<value>master1</value>
</property> <!-- reducer取数据的方式是mapreduce_shuffle -->
<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>
3. 将/xxx/soft/hadoop-2.7.3 scp至其他机器。注意清理一下 logs， tmp下文件。
4. 启动
(1)格式化zkfc
./bin/hdfs zkfc -formatZK
(2)格式化namenode，格式化namenode之前需要在master1, slave1, slave2上分别启动journalnode。特别注意，如果不启动，namenode格式化会抛错。
在master1, slave1, slave2上分别启动journalnode。（单独启动进程用hadoop-daemon.sh start xxx）
./sbin/hadoop-daemon.sh start journalnode
在master1上格式化namenode
./bin/hdfs namenode -format ns
将./tmp 拷贝至master2
scp -r ./tmp/ master2:/xxx/soft/hadoop-2.7.3/
(3)启动namenode和yarn
./sbin/start-dfs.sh ./sbin/start-yarn.sh
5. 查看进程
[root@vm-10-112-29-9 hadoop-2.7.3]# jps
13349 NameNode
13704 DFSZKFailoverController
13018 JournalNode
14108 Jps
13836 ResourceManager [root@vm-10-112-29-10 hadoop-2.7.3]# jps
31412 NodeManager
30566 JournalNode
31174 DataNode
31576 Jps
31307 DFSZKFailoverController
31069 NameNode [root@vm-10-112-28-237 hadoop-2.7.3]# jps
27482 Jps
27338 NodeManager
27180 DataNode
26686 JournalNode
6. 验证HDFS
hadoop fs -put ./NOTICE.txt hdfs://ns/
7. 访问
