Hadoop HDFS通过QJM实现高可用HA环境搭建

官方参考文档：http://hadoop.apache.org/docs/r2.7.2/hadoop-project-dist/hadoop-hdfs/HDFSHighAvailabilityWithQJM.html

环境准备

机器列表

主机	NN	DN	ZK	ZKFC	JN	RM	NM
node1	Y		Y	Y
node2	Y	Y	Y	Y	Y	Y	Y
node3		Y	Y		Y		Y
node4		Y			Y		Y

所有主机已经安装好了jdk环境

zookeeper集群安装

下载解压zookeeper

wget https://mirrors.tuna.tsinghua.edu.cn/apache/zookeeper/zookeeper-3.4.10/zookeeper-3.4.10.tar.gz tar -xvzf zookeeper-3.4.10.tar.gz -C /home

修改zookeeper配置文件

zoo.cfg

tickTime=2000
dataDir=/var/lib/zookeeper
clientPort=2181
initLimit=5
syncLimit=2
server.1=node1:2888:3888
server.2=node2:2888:3888
server.3=node3:2888:3888

创建zookeeper的myid文件

# vi /var/lib/zookeeper/myid
1 # 对应配置文件server.X的X

启动zookeeper

./bin/zkServer.sh start

hadoop安装

下载解压、配置ssh免密登录

参考http://blog.csdn.net/mralgernon/article/details/76987477

修改配置

修改hadoop的JAVA环境变量etc/hadoop/hadoop-env.sh

# set to the root of your Java installation
export JAVA_HOME=/usr/local/jdk1.8

修改core-site.xml

<property>
<name>fs.defaultFS</name>
<value>hdfs://myhdfs-cluster</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/hadoop-2.7</value>
</property>
<property>
<name>ha.zookeeper.quorum</name>
<value>node1:2181,node2:2181,node3:2181</value>
</property>

修改hdfs-site.xml

<configuration>
<property>
<name>dfs.nameservices</name>
<value>myhdfs-cluster</value>
</property>
<property>
<name>dfs.ha.namenodes.myhdfs-cluster</name>
<value>nn1,nn2</value>
</property>
<property>
<name>dfs.namenode.rpc-address.myhdfs-cluster.nn1</name>
<value>node1:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.myhdfs-cluster.nn2</name>
<value>node2:8020</value>
</property>
<property>
<name>dfs.namenode.http-address.myhdfs-cluster.nn1</name>
<value>node1:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.myhdfs-cluster.nn2</name>
<value>node2:50070</value>
</property>
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://node2:8485;node3:8485;node4:8485/abc</value>
</property>
<property>
<name>dfs.client.failover.proxy.provider.myhdfs-cluster</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/journalnode</value>
</property>
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
</configuration>

修改yarn-site.xml

<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>myhdfs-cluster</value>
</property>
<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm1</name>
<value>node1</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>node4</value>
</property>
<property>
<name>yarn.resourcemanager.zk-address</name>
<value>node1:2181,node2:2181,node3:2181</value>
</property>

修改mapred-site.xml

<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>

修改slaves

node2
node3
node4

启动集群

启动三个JournalNode

./sbin/hadoop-daemon.sh start journalnode

格式化其中一个namenode

./bin/hdfs namenode -format

namenode节点数据同步

把刚刚格式化之后的元数据拷贝到其他的namenode上

启动刚刚格式化的namenode

./sbin/start-dfs.sh

在没有格式化的namenode上执行：

hdfs namenode -bootstrapStandby

启动其他的namenode

在其中一个namenode上初始化zkfc：hdfs zkfc -formatZK

停止上面节点：stop-dfs.sh

全面启动：start-dfs.sh