大数据软件安装之ZooKeeper监控
一、ZooKeeper安装
官方文档：
https://zookeeper.apache.org/doc/r3.5.5/zookeeperStarted.html
1、解压分发
[test@hadoop102 opt]$ tar -zxvf zookeeper-3.4.10.tar.gz -C /opt/module/
[test@hadoop102 module]$ xsync zookeeper-3.4.10/
2、配置服务号
[test@hadoop102 zookeeper-3.4.10]$ mkdir zkData
[test@hadoop102 zkData]$ touch myid
[test@hadoop102 zkData]$ vim myid
修改 myid=2
同样修改 hadoop103 myid=3 ；hadoop104 myid=4
3、配置zoo.cfg（conf）
[test@hadoop102 conf]$ mv zoo_sample.cfg zoo.cfg
[test@hadoop102 conf]$ vim zoo.cfg
修改：
dataDir=/opt/module/zookeeper-3.4.10/zkData
#######################cluster##########################
server.2=hadoop102:2888:3888
server.3=hadoop103:2888:3888
server.4=hadoop104:2888:3888
[test@hadoop102 conf]$ xsync zoo.cfg
server.A=B:C:D
A是一个数字，表示这个是第几号服务器；
集群模式下配置一个文件myid，这个文件在dataDir目录下，这个文件里面有一个数据就是A的值，Zookeeper启动时读取此文件，拿到里面的数据与zoo.cfg里面的配置信息比较从而判断到底是哪个server。
B是这个服务器的地址；
C是这个服务器Follower与集群中的Leader服务器交换信息的端口；
D是万一集群中的Leader服务器挂了，需要一个端口来重新进行选举，选出一个新的Leader，而这个端口就是用来执行选举时服务器相互通信的端口。
4、启动zookeeper
启动zookeeper服务端
[test@hadoop102 zookeeper-3.4.10]$ bin/zkServer.sh start
查看状态
[test@hadoop102 zookeeper-3.4.10]$ bin/zkServer.sh status
启动zookeeper客户端
[test@hadoop102 zookeeper-3.4.10]$ bin/zkCli.sh start
二、HDFS HA（Hadoop高可用）
官方文档：
http://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HDFSHighAvailabilityWithQJM.html
1、创建并复制hadoop
mkdir /opt/ha
cp -r hadoop-2.7.2/ /opt/ha/
2、配置hadoop
1）配置jdk环境
cd /opt/module/hadoop-2.7.2/etc/hadoop
[test@hadoop102 hadoop]$ vim hadoop-env.sh
export JAVA_HOME=/opt/module/jdk1.8.0_144
2）配置hadoop文件
配置core-site.xml
cd /opt/module/hadoop-2.7.2/etc/hadoop
[test@hadoop102 hadoop]$ vim core-site.xml
<configuration>
<!-- 把两个NameNode）的地址组装成一个集群mycluster -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://mycluster</value>
</property>
<!-- 指定hadoop运行时产生文件的存储目录 -->
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/ha/hadoop-2.7.2/data/tmp</value>
</property>
<!-- 自动故障转移 -->
<property>
<name>ha.zookeeper.quorum</name>
<value>hadoop102:2181,hadoop103:2181,hadoop104:2181</value>
</property>
</configuration>
配置hdfs-site.xml
cd /opt/module/hadoop-2.7.2/etc/hadoop
[test@hadoop102 hadoop]$ vim hdfs-site.xml
<configuration>
<!-- 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>hadoop102:9000</value>
</property>
<!-- nn2的RPC通信地址 -->
<property>
<name>dfs.namenode.rpc-address.mycluster.nn2</name>
<value>hadoop103:9000</value>
</property>
<!-- nn1的http通信地址 -->
<property>
<name>dfs.namenode.http-address.mycluster.nn1</name>
<value>hadoop102:50070</value>
</property>
<!-- nn2的http通信地址 -->
<property>
<name>dfs.namenode.http-address.mycluster.nn2</name>
<value>hadoop103:50070</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://hadoop102:8485;hadoop103:8485;hadoop104:8485/mycluster</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/atguigu/.ssh/id_rsa</value>
</property>
<!-- 关闭权限检查-->
<property>
<name>dfs.permissions.enable</name>
<value>false</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>
<!--自动故障转移-->
<property> <name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
</configuration>
3、分发到其他机器
xsync /opt/module/ha
4、启动
[test@hadoop102 hadoop-2.7.2]$ sbin/hadoop-daemon.sh start journalnode
NN1格式化并启动
[test@hadoop102 hadoop-2.7.2]$ bin/hdfs namenode -format
[test@hadoop102 hadoop-2.7.2]$ sbin/hadoop-daemon.sh start namenode
NN2设置同步并启动
[test@hadoop102 hadoop-2.7.2]$ bin/hdfs namenode -bootstrapStandby
[test@hadoop102 hadoop-2.7.2]$ sbin/hadoop-daemon.sh start namenode
启动NN1并切换为Active
[test@hadoop102 hadoop-2.7.2]$ sbin/hadoop-daemons.sh start datanode
[test@hadoop102 hadoop-2.7.2]$ bin/hdfs haadmin -transitionToActive nn1
[test@hadoop102 hadoop-2.7.2]$ bin/hdfs haadmin -getServiceState nn1
5、配置完自动故障转移后再启动
[test@hadoop102 hadoop-2.7.2]$ sbin/stop-dfs.sh
[test@hadoop102 zookeeper-3.4.10]$ bin/zkServer.sh start
[test@hadoop102 hadoop-2.7.2]$ bin/hdfs zkfc -formatZK
[test@hadoop102 hadoop-2.7.2]$ sbin/start-dfs.sh
三、Yarn HA
官方文档：
http://hadoop.apache.org/docs/r2.7.2/hadoop-yarn/hadoop-yarn-site/ResourceManagerHA.html
1、配置yarn-site.xml
cd /opt/module/hadoop-2.7.2/etc/hadoop
[test@hadoop102 hadoop]$ vim yarn-site.xml
<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</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>hadoop102</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>hadoop103</value>
</property>
<!--指定zookeeper集群的地址-->
<property>
<name>yarn.resourcemanager.zk-address</name>
<value>hadoop102:2181,hadoop103:2181,hadoop104:2181</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>
2、启动hdfs
1）[test@hadoop102 hadoop-2.7.2]$ sbin/hadoop-daemon.sh start journalnode
2）初始化NN1并启动
[test@hadoop102 hadoop-2.7.2]$ bin/hdfs namenode -format
[test@hadoop102 hadoop-2.7.2]$ sbin/hadoop-daemon.sh start namenode
3）NN2同步并启动
[test@hadoop102 hadoop-2.7.2]$ bin/hdfs namenode -bootstrapStandby
[test@hadoop102 hadoop-2.7.2]$ sbin/hadoop-daemon.sh start namenode
4）启动所有DN
[test@hadoop102 hadoop-2.7.2]$ sbin/hadoop-daemons.sh start datanode
[test@hadoop102 hadoop-2.7.2]$ bin/hdfs haadmin -transitionToActive nn1
3、启动yarn
[test@hadoop102 hadoop-2.7.2]$ sbin/start-yarn.sh
[test@hadoop102 hadoop-2.7.2]$ sbin/yarn-daemon.sh start resourcemanager
[test@hadoop102 hadoop-2.7.2]$ bin/yarn rmadmin -getServiceState rm1
完成
