各节点配置参考表
主机 | NameNode | DataNode | Zookeeper | ZKFC | JournalNode | ResourceManager | NodeManager |
---|---|---|---|---|---|---|---|
node1 | 1 | 1 | 1 | 1 | |||
node2 | 1 | 1 | 1 | 1 | 1 | 1 | |
node3 | 1 | 1 | 1 | 1 | |||
node4 | 1 | 1 | 1 |
文件配置:
core-site.xml
<property>
<name>hadoop.tmp.dir</name>
<value>/csh/hadoop/hadoop2.7.2/tmp</value>
</property>
<property>
<name>fs.defaultFS</name>
<value>hdfs://mycluster</value>
</property>
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/csh/hadoop/hadoop2.7.2/journal</value>
</property>
<property>
<name>ha.zookeeper.quorum</name>
<value>node1:2181,node2:2181,node3:2181</value>
</property>
hdfs-site.xml
<property>
<name>dfs.nameservices</name>
<value>mycluster</value>
</property>
<property>
<name>dfs.ha.namenodes.mycluster</name>
<value>nn1,nn2</value>
</property>
<property>
<name>dfs.namenode.rpc-address.mycluster.nn1</name>
<value>node1:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.mycluster.nn2</name>
<value>node2:8020</value>
</property>
<property>
<name>dfs.namenode.http-address.mycluster.nn1</name>
<value>node1:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.mycluster.nn2</name>
<value>node2:50070</value>
</property>
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://node2:8485;node3:8485;node4:8485/mycluster</value>
</property>
<property>
<name>dfs.client.failover.proxy.provider.mycluster</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.ha.fencing.ssh.connect-timeout</name>
<value>30000</value>
</property>
mapred-site.xml
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
yarn-site.xml
<property>
<name>yarn.resourcemanager.hostname</name>
<value>node1</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>
masters
node2
slaves
node2
node3
node4
启动
安装Zookeeper请看:Zookeeper安装以及集群搭建
1.启动 zookeeper(在node1,node2,node3中执行以下命令)
(在zookeeper/bin目录下)
./zkServer.sh start
通过以下命令检查是否启动成功
./zkServer.sh status
成功会显示以下数据
ZooKeeper JMX enabled by default
Using config: /csh/software/zookeeper-3.4.8/bin/../conf/zoo.cfg
Mode: follower //这里会有一个节点是:leader,其余2个节点是:follower
2.启动journalnode(在node1中执行以下命令)
./hadoop-daemons.sh start journalnode
在node2、node3、node4运行jps命令检查journalnode是否启动成功
成功会有出现
17827 QuorumPeerMain
3.格式化zkfc,让在zookeeper中生成ha节点(在node1中执行)
hdfs zkfc –formatZK
格式化成功后可以查看zookeeper得到
./zkCli.sh -server node1:2181
[zk: node1:2181(CONNECTED) 0] ls /hadoop-ha [mycluster]
4.格式化hdfs(在node1中执行)
hadoop namenode –format
5.启动NameNode
先在node1上启动active结点(在node1中执行)
[root@node1 sbin]# hadoop-daemon.sh start namenode
在node2中同步namenode数据,同时启动standby的namenode
#把NameNode的数据同步到node2上
hdfs namenode –bootstrapStandby
#启动node2上的namenode作为standby
hadoop-daemon.sh start namenode
6.启动DataNode(在node1中执行)
./hadoop-daemons.sh start datanode
7.启动yarn
(在作为资源管理器上的机器上启动,我这里是node1,执行如下命令完成yarn的启动)
./start-yarn.sh
8.启动ZKFC(在node1中执行)
hadoop-daemons.sh start zkfc
各节点的情况
//node1
17827 QuorumPeerMain
18179 NameNode
25431 Jps
19195 ResourceManager
19985 DFSZKFailoverController
//node2
9088 QuorumPeerMain
13250 Jps
9171 JournalNode
10360 NodeManager
10985 DFSZKFailoverController
9310 NameNode
9950 DataNode
//node3
7108 NodeManager
7926 Jps
6952 DataNode
6699 JournalNode
6622 QuorumPeerMain
//node4
6337 JournalNode
6755 NodeManager
7574 Jps
6603 DataNode
个人博客原文:
Hadoop2.x配置HA