Hadoop2.5.1 HDFS HA(QJM)

接着上一篇文章继续进行配置。

官网介绍：HDFS
High Availability Using the Quorum Journal Manager

机器类型：64位centos。机器列表：

192.168.11.99   master
192.168.11.97   master2
192.168.12.174  slave1
192.168.12.178  slave2
192.168.12.18   slave3
192.168.11.94   slave4
192.168.12.179  zookeeper1
192.168.12.182  zookeeper2
192.168.12.185  zookeeper3

配置好各台机器的主机名，并打通master和master2到各台主机的ssh免验证登录。

1 zookeeper集群安装

下载zookeeper-3.4.6到三台zookeeper，解压并重命名为/usr/zookeeper，同时安装jdk。

修改环境变量(/etc/profile)，添加如下字段：

export JAVA_HOME=/usr/java/jdk1.8.0_25
export PATH=/usr/zookeeper/bin:$JAVA_HOME/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar

编辑配置文件：

[root@zookeeper1 conf]# vi /usr/zookeeper/conf/zoo.cfg

添加如下字段：

dataDir=/usr/zookeeper/data
# the port at which the clients will connect
clientPort=2181
server.1=zookeeper1:2888:3888
server.2=zookeeper2:2888:3888
server.3=zookeeper3:2888:3888

三台机器做相同配置。

新建/usr/zookeeper/data/myid文件，分别填入对应id1到3，如在zookeeper1中

[root@zookeeper1 data]# more myid
1
[root@zookeeper1 data]#

启动zookeeper：

zkServer.sh start

查看状态：

[root@zookeeper1 ~]# jps
1380 Jps
6781 QuorumPeerMain

安装成功。

2 配置namenode HA

core-site.xml

<configuration>
        <property>
                <name>fs.defaultFS</name>
                <value>hdfs://cluster1</value>
        </property>
        <property>
                <name>io.file.buffer.size</name>
                <value>131072</value>
        </property>
        <property>
                <name>hadoop.tmp.dir</name>
                <value>/root/tmp</value>
                <description>A base for other temporary directories.</description>
        </property>
        <property>
                <name>ha.zookeeper.quorum</name>
                <value>zookeeper1:2181,zookeeper2:2181,zookeeper3:2181</value>
        </property>
</configuration>

hdfs-site.xml

<configuration>
<property>
<name>dfs.nameservices</name>
<value>cluster1</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
<property>
<name>dfs.ha.namenodes.cluster1</name>
<value>nn1,nn2</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster1.nn1</name>
<value>master:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster1.nn2</name>
<value>master2:8020</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster1.nn1</name>
<value>master:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster1.nn2</name>
<value>master2:50070</value>
</property>
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://master:8485;master2:8485;slave1:8485/cluster1</value>
</property>
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/root/jn_data</value>
</property>
<property>
<name>dfs.client.failover.proxy.provider.cluster1</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_rsa</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/root/dfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/root/dfs/data</value>
</property>
</configuration>

3 测试

首先分别在三台机器上启动zookeeper：

zkServer.sh start

然后启动hadoop：

start-dfs.sh
start-yarn.sh

可以看到对应的守护进程。

web端：





其中mater为active，master2为standby。

可以通过杀死namenode进程验证HDFS的HA。