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