集群网络规划

master 192.168.111.111
slave1 192.168.111.112
slave2 192.168.111.113
slave3 192.168.111.114

高可用节点配置

QQ截图20171027154301.png

1.配置hdfs-site.xml
文件目录/usr/local/hadoop/etc/hadoop/

vim /usr/local/hadoop/etc/hadoop/hdfs-site.xml

<property>
  <name>dfs.nameservices</name>
  <value>mycluster</value>
</property>
<property>
  <name>dfs.ha.namenodes.mycluster</name>
  <value>nn1,nn2</value>
</property>
<property>
  <name>dfs.namenode.rpc-address.mycluster.nn1</name>
  <value>master:8020</value>
</property>
<property>
  <name>dfs.namenode.rpc-address.mycluster.nn2</name>
  <value>slave1:8020</value>
</property>
<property>
  <name>dfs.namenode.http-address.mycluster.nn1</name>
  <value>master:50070</value>
</property>
<property>
  <name>dfs.namenode.http-address.mycluster.nn2</name>
  <value>slave1:50070</value>
</property>
<property>
  <name>dfs.namenode.shared.edits.dir</name>
  <value>qjournal://master:8485;slave1:8485;slave2:8485/mycluster</value>
</property>


<property>
  <name>dfs.client.failover.proxy.provider.mycluster</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_rsa</value>
</property>
<property>
   <name>dfs.ha.automatic-failover.enabled</name>
   <value>true</value>
 </property>

具体原理可以参考官方文档
2.配置core-site.xml
文件目录/usr/local/hadoop/etc/hadoop/

vim /usr/local/hadoop/etc/hadoop/core-site.xml

<configuration>
<property>
    <name>fs.defaultFS</name>
    <value>hdfs://master:9000</value>
</property>
<property>
    <name>hadoop.tmp.dir</name>
    <value>/usr/local/hadoop/current/hdfs/ha</value>
</property>
<property>
   <name>ha.zookeeper.quorum</name>
   <value>slave1:2181,slave2:2181,slave3:2181</value>
 </property>

注意： hdfs-site.xml core-site.xml所有的机器配置相同
master上配置好的文件传到slave

scp core-site.xml hdfs-site.xml slaveX:/usr/local/hadoop/etc/hadoop/

3.安装zookeeper(所有机器同步)
版本3.4.6
3.1使用Xftp上传至/usr/local/
3.2解压文件包

tar -xzvf zookeeper-3.4.6.tar.gz

3.3 重命名（可以忽略）

mv zookeeper-3.4.6.tar zookeeper

3.4配置环境变量（所有目录配置相同）

vim ~/.bash_profile 

export ZK_HOME=/usr/local/zookeeper
export PATH=$PATH:$ZK_HOME/bin:$ZK_HOME/sbin
export JAVA_HOME=/usr/java/jdk1.8.0_91
export PATH=$PATH:$JAVA_HOME/bin
export HADOOP_HOME=/usr/local/hadoop/
export HADOOP_PREFIX=$HADOOP_HOME
export HADOOP_COMMON_HOME=$HADOOP_PREFIX
export HADOOP_CONF_DIR=$HADOOP_PREFIX/etc/hadoop
export HADOOP_HDFS_HOME=$HADOOP_PREFIX
export HADOOP_MAPRED_HOME=$HADOOP_PREFIX
export HADOOP_YARN_HOME=$HADOOP_PREFIX
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin

使环境变量生效

source ~/.bash_profile

4.配置zookeeper （所有机器同步）

/usr/local/zookeeper/conf
mv zoo_sample.cfg zoo.cfg
vim zoo.cfg
在最后加上
dataDir=/usr/local/zookeeper/zk
server.1=slave1:2888:3888
server.2=slave2:2888:3888
server.3=slave3:2888:3888

在 slave集群新建文件夹

mkdir /usr/local/zookeeper/zk

在文件夹内新建myid文件，分别在里面写1 2 3
*******至此HADOOP HA配置完毕******
5.第一次启动
在所有集群上

zkServer.sh start

等待一会儿，集群会自动选举主从。检查一下

zkServer.sh status

Paste_Image.png

启动journalnode

hadoop-daemon.sh start journalnode

在master上

hdfs namenode -format
hadoop-daemon.sh start namenode

在slave1上

hdfs namenode -bootstrapStandby

在master上

start-dfs.sh

在slave1上

hdfs zkfc -formatZK
hadoop-daemon.sh start zkfc

再配置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>sxt2yarn</value>
</property>
<property>
  <name>yarn.resourcemanager.ha.rm-ids</name>
  <value>rm1,rm2</value>
</property>
<property>
  <name>yarn.resourcemanager.hostname.rm1</name>
  <value>slave2</value>
</property>
<property>
  <name>yarn.resourcemanager.hostname.rm2</name>
  <value>slave3</value>
</property>
<property>
  <name>yarn.resourcemanager.webapp.address.rm1</name>
  <value>slave2:8088</value>
</property>
<property>
  <name>yarn.resourcemanager.webapp.address.rm2</name>
  <value>slave3:8088</value>
</property>
<property>
  <name>yarn.resourcemanager.zk-address</name>
  <value>master:2181,slave1:2181,slave2:2181</value>
</property>

至此 集群第一次启动完毕，可以观察到以下状态

Paste_Image.png

以后启动集群只需要
1.启动zookeeper集群
2.start-dfs.sh

zkServer.sh start
start-dfs.sh

slave2 slave3 的resourcemanager需要单独启动
yarn-daemons.sh start resourcemanager