prepare:
1、Hadoop 完全分布式安装
2、ZooKeeper 完全分布式环境安装
- 解压安装zookeeper
tar -zxvf zookeeper-3.4.6.tar.gz → mv zookeeper-3.4.6 zkpr
- 配置vi zkpr/conf/zoo_sample.cfg → mv zoo_sample.cfg zoo.cfg
initLimit=50 #线程数
dataDir=/opt/software/zkpr/zkData #定义日志目录
最下面加入三个端口:
server.0=hadoop100:2287:3387
server.1=hadoop101:2287:3387
server.2=hadoop102:2287:3387
- 新建zkData,配置myid(在zkpr目录下)
mkdir zkData
vi zkData/myid → 编辑输入0
- 将配置号的zkpr发给分机
scp -r zkpr root@hadoop101;$PWD/ → 分机修改myid为1
scp -r zkpr root@hadoop101;$PWD/ → 分机修改myid为2
- 启动zooKeeper
bin/zkServer.sh start
- 查看状态
bin/zkServer.sh status
会显示`leader`、`follower`,
投票机制,谁快谁就是leader,
日志会存在于zkpr同一目录下的zookeeper下
配置HDFS-HA集群
1、配置core-site.xml
<property>
<name>fs.defaultFS</name>
<value>hdfs://hadoopHA</value>
<!--<value>hdfs://node01:9000</value>-->
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/software/hadoop/tmp</value>
</property>
<property>
<name>hadoop.proxyuser.root.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.root.groups</name>
<value>*</value>
</property>
<property>
<name>ha.zookeeper.quorum</name>
<value>node01:2181,node02:2181,node03:2181</value>
</property>
2、配置hdfs-site.xml
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>node02:50090</value>
</property>
<property>
<name>dfs.nameservices</name>
<value>hadoopHA</value>
</property>
<property>
<name>dfs.ha.namenodes.hadoopHA</name>
<value>nn1,nn2</value>
</property>
<property>
<name>dfs.namenode.rpc-address.hadoopHA.nn1</name>
<value>node01:9000</value>
</property>
<property>
<name>dfs.namenode.rpc-address.hadoopHA.nn2</name>
<value>node02:9000</value>
</property>
<property>
<name>dfs.namenode.http-address.hadoopHA.nn1</name>
<value>node01:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.hadoopHA.nn2</name>
<value>node02:50070</value>
</property>
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://node01:8485;node02:8485;node03:8485/hadoopHA</value>
</property>
<property>
<name>dfs.ha.fencing.methods</name>
<value>
sshfence
shell(/bin/true)
</value>
</property>
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/root/.ssh/id_rsa</value>
</property>
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/opt/software/hadoop/data/jn</value>
</property>
<property>
<name>dfs.permissions.enable</name>
<value>false</value>
</property>
<property>
<name>dfs.client.failover.proxy.provider.hadoopHA</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
3、启动HDFS—HA集群
- 在各个JournalNode节点上启动journalnode
$HADOOP_HOME/sbin/hadoop-daemon.sh start journalnode
- 在nn1上删除hadoop目录下的logs和tmp,格式化namenode,并启动namenode
rm -rf tmp #删除tmp
rm -rf logs #删除tmp
hdfs namenode -format #初始化namenode
sbin/hadoop-daemon.sh start namenode #开启namenode
- 在nn2上同步nn1的元数据信息
bin/hdfs namenode -bootstrapStandby
或者在nn1中将tmp发送至nn2
scp -r tmp root@hadoop102:$PWD/
- 启动nn2 namenode
sbin/hadoop-daemon.sh start namenode
- 将nn1转换为active
bin/hdfs haadmin -transitionToActive nn1
4、配置HDFS-HA自动故障转移
- 关闭所有HDFS服务
sbin/stop-dfs.sh
- 启动Zookeeper集群
bin/zkServer.sh start
- 初始化HA在Zookeeper中状态
bin/hdfs zkfc -formatZK
- 启动HDFS服务
sbin/start-dfs.sh