一、配置Zookeeper
https://blog.csdn.net/weixin_43671437/article/details/102736020
二、集群规划
master | slave1 | slave2 |
---|---|---|
NameNode | NameNode | |
JournalNode | JournalNode | JournalNode |
DataNode | DataNode | DataNode |
ZK | ZK | ZK |
ResourceManager | ResourceManager | |
NodeManager | NodeManager | NodeManager |
三、配置文件
1、hadoop-env.sh
export JAVA_HOME=/usr/local/src/jdk1.8.0_144
2、yarn-env.sh
export JAVA_HOME=/usr/local/src/jdk1.8.0_144
3、mapred-env.sh
export JAVA_HOME=/usr/local/src/jdk1.8.0_144
4、slaves
master
slave1
slave2
5、core-site.xml
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://mycluster</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/HA/hadoop/data/tmp</value>
</property>
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/opt/HA/hadoop/data/tmp/jn</value>
</property>
<property>
<name>ha.zookeeper.quorum</name>
<value>master:2181,slave1:2181,slave2:2181</value>
</property>
</configuration>
6、hdfs-site.xml
<configuration>
<!--设置副本数-->
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<!-- 完全分布式集群名称 -->
<property>
<name>dfs.nameservices</name>
<value>mycluster</value>
</property>
<!-- 集群中NameNode节点都有哪些 -->
<property>
<name>dfs.ha.namenodes.mycluster</name>
<value>nn1,nn2</value>
</property>
<!-- nn1的RPC通信地址 -->
<property>
<name>dfs.namenode.rpc-address.mycluster.nn1</name>
<value>master:8020</value>
</property>
<!-- nn2的RPC通信地址 -->
<property>
<name>dfs.namenode.rpc-address.mycluster.nn2</name>
<value>slave1:8020</value>
</property>
<!-- nn1的http通信地址 -->
<property>
<name>dfs.namenode.http-address.mycluster.nn1</name>
<value>master:50070</value>
</property>
<!-- nn2的http通信地址 -->
<property>
<name>dfs.namenode.http-address.mycluster.nn2</name>
<value>slave1:50070</value>
</property>
<!-- 指定NameNode元数据在JournalNode上的存放位置 -->
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://master:8485;slave1:8485;slave2:8485/mycluster</value>
</property>
<!-- 访问代理类:client,mycluster,active配置失败自动切换实现方式-->
<property>
<name>dfs.client.failover.proxy.provider.mycluster</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<!-- 配置隔离机制,即同一时刻只能有一台服务器对外响应 -->
<property>
<name>dfs.ha.fencing.methods</name>
<value>sshfence</value>
</property>
<!-- 使用隔离机制时需要ssh无秘钥登录-->
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/home/hadoop/.ssh/id_rsa</value>
</property>
<!-- 关闭权限检查-->
<property>
<name>dfs.permissions.enable</name>
<value>false</value>
</property>
<!--设置自动故障转移(如果不设置,当master故障时,需手动将master从standby状态激活为active状态)-->
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
</configuration>
7、yarn-site.xml
此配置与hdfs-site.xml类似,不再做解释
<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.log-aggregation-enable</name>
<value>true</value>
</property>
<property>
<name>yarn.log-aggregation.retain-seconds</name>
<value>604800</value>
</property>
<!--启用resourcemanager ha-->
<property>
<name>yarn.resourcemanager.ha.enabled</name>
<value>true</value>
</property>
<!--声明两台resourcemanager的地址-->
<property>
<name>yarn.resourcemanager.cluster-id</name>
<value>cluster-yarn1</value>
</property>
<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm1</name>
<value>master</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>slave1</value>
</property>
<!--指定zookeeper集群的地址-->
<property>
<name>yarn.resourcemanager.zk-address</name>
<value>master:2181,slave1:2181,slave2:2181</value>
</property>
<!--启用自动恢复-->
<property>
<name>yarn.resourcemanager.recovery.enabled</name>
<value>true</value>
</property>
<!--指定resourcemanager的状态信息存储在zookeeper集群-->
<property>
<name>yarn.resourcemanager.store.class</name>
<value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>
</property>
</configuration>
8、mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>master:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>master:19888</value>
</property>
</configuration>
9、分发配置信息
将配置好的hadoop分发到slave1,slave2节点
scp -r hadoop-2.6.0/ hadoop@slave1:/opt/module/HA/
scp -r hadoop-2.6.0/ hadoop@slave2:/opt/module/HA/
四、启动集群
注意:
1、已启动zookeeper集群
2、第一次启动Hadoop集群时,需先启动JournalNode,再格式化namenode
1. 在各个节点上,输入以下命令启动journalnode服务
sbin/hadoop-daemon.sh start journalnode
2. 在[nn1] (master)上,对其进行格式化,并启动namenode
(1)、格式化
bin/hdfs namenode -format
(2)、启动namenode
sbin/hadoop-daemon.sh start namenode
3. 在[nn2] (slave1)上,同步nn1(master)的元数据信息
bin/hdfs namenode -bootstrapStandby
4、启动[nn2] (slave1)上namenode
sbin/hadoop-daemon.sh start namenode
5、用jps产看进程,以及查看web端是否状态都为standby
若两个namenode进程都能运行,则此时已成功一半
6、关闭两个namenode和各个节点的journalnode
sbin/hadoop-daemons.sh stop namenode
sbin/hadoop-daemons.sh stop journalnode
7、初始化HA在Zookeeper中状态(在hadoop-2.6.0目录下)
注意不是在zookeeper目录下
因为zkfc是hadoop的进程不是zookeeper进程
bin/hdfs zkfc -formatZK
8、群起hdfs
sbin/start-dfs.sh
9、群起yarn
1、在master上
sbin/start-yarn.sh
2、在slave1上
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sbin/yarn-daemon.sh start resourcemanager
10、利用jps查看进程,看到这些进程则表明已启动成功
五、登录web端页面查看状态及信息
1、hdfs web
2、yarn web
六、此时hadoop HA已搭建完成
可利用kill -9 ,kill掉一个节点的namenode,然后查看另一个节点的namenode测试能否可以自动切换为active状态
可利用此命令在命令行中查看namenode的状态
bin/hdfs haadmin -getServiceState nn1
当然也可以直接查看web端状态
将nn1切换为active(此命令在本博客中用不到只做了解)
bin/hdfs haadmin -transitionToActive nn1