[大数据]Hadoop高可用集群搭建

Hadoop集群配置

1. 配置主机名以及解析（3台）

????????新建三台虚拟机：hadoop1、hadoop2、hadoop3

????????配置host映射：

vi /etc/hosts
ip hadoop1
ip hadoop2
ip hadoop3

????????配置完成后可以使用ping +主机名

2.ssh免密操作

????????????生成密钥对（默认在/root/.ssh/目录下）

ssh-keygen

????????????????拷贝密钥到其他节点

ssh-copy-id hadoop-01
ssh-copy-id hadoop-02
ssh-copy-id hadoop-03

3. 安装hadoop

????????3.1 修改配置文件

????????（1）将hadoop安装包解压，重命名为hadoop，拷贝到/export/software/下

? ? ? ? （2）修改各配置文件,所有的配置文件在/export/software/hadoop/etc/hadoop目录下

????????????????修改core-site.xml,内容如下：

<configuration>
        <property>
                <name>fs.defaultFS</name>
                <value>hdfs://cluster:9000</value>
        </property>
        <property>
                <name>hadoop.tmp.dir</name>
                <value>/export/software/hadoop-2.4.1/tmp</value>
        </property>
        <property>
                <name>hadoop.native.lib</name>
                <value>false</value>
        </property>
        <property>
                <name>ha.zookeeper.quorum</name>
                <value>master:2181,slave1:2181,slave2:2181</value>
        </property>
</configuration>

修改hdfs-site.xml，内容如下：

<configuration>
        <property>
                <name>dfs.replication</name>
                <value>3</value>
        </property>
        <property>
                <name>dfs.nameservices</name>
                <value>cluster</value>
        </property>
        <property>
                <name>dfs.ha.namenodes.cluster</name>
                <value>nn01,nn02</value>
        </property>
        <property>
                <name>dfs.namenode.rpc-address.cluster.nn01</name>
                <value>master:9000</value>
        </property>
        <property>
                <name>dfs.namenode.http-address.cluster.nn01</name>
                <value>master:50070</value>
        </property>
        <property>
                <name>dfs.namenode.rpc-address.cluster.nn02</name>
                <value>slave1:9000</value>
        </property>
        <property>
                <name>dfs.namenode.http-address.cluster.nn02</name>
                <value>slave1:50070</value>
        </property>
        <property>
                <name>dfs.namenode.shared.edits.dir</name>
                <value>qjournal://master:8485;slave1:8485;slave2:8485/cluster</value>
        </property>
        <property>
                <name>dfs.journalnode.edits.dir</name>
                <value>/export/data/hadoop/journaldata</value>
        </property>
        <property>
                <name>dfs.ha.automatic-failover.enabled</name>
                <value>true</value>
        </property>
        <property>
                <name>dfs.client.failover.proxy.provider.cluster</name>
                <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</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.ha.fencing.ssh.connect-timeout</name>
                <value>30000</value>
        </property>
        <property>
                <name>dfs.name.dir</name>
                <value>/export/software/hadoop-2.4.1/tmp/dfs/name</value>
        </property>
        <property>
                <name>dfs.data.dir</name>
                <value>/export/software/hadoop-2.4.1/tmp/dfs/data</value>
        </property>
</configuration>

修改yarn-site.xml,内容如下：

        <property>
                <name>yarn.resourcemanager.ha.enabled</name>
                <value>true</value>
        </property>
        <property>
                <name>yarn.nodemanager.aux-services</name>
                <value>mapreduce_shuffle</value>
        </property>
        <property>
                <name>yarn.resourcemanager.cluster-id</name>
                <value>yrc</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>
        <property>
                <name>yarn.resourcemanager.zk-address</name>
                <value>master:2181,slave1:2181,slave2:2181</value>
        </property>
</configuration>

修改mapred-site.xml(该文件不存在，需要手动创建),cp mapred-site.xml.template mapred-site.xml,内容如下：

<configuration>
	<!-- 采用yarn作为mapreduce的资源调度框架 -->
	<property>
		<name>mapreduce.framework.name</name>
		<value>yarn</value>
	</property>
</configuration>

修改slaves文件，内容如下:

hadoop-01
hadoop-02
hadoop-03

修改hadoop-env.sh文件，指定jdk的地址

# The java implementation to use.
export JAVA_HOME=/export/software/jdk1.8.0_131

配置hadoop环境变量，vi /etc/profile内容如下

vi /etc/profile
export HADOOP_HOME=/export/software/hadoop
export PATH=$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH
:wq
source /etc/profile

3.2 拷贝复制到其它机器

????????

scp -r /export/software/hadoop hadoop2:/export/software
scp -r /export/software/hadoop hadoop3:/export/software

3.3 启动hadoop

? ? ? ? 格式化命令

hadoop namenode -format
hdfs zkfc -formatZK

? ? ? ?格式完之后将hadoop1得tmp文件传给hadoop2

scp -r /export/software/hadoop/tmp hadoop2:/export/software/hadoop/

? ? ? ? 启动命令

hadoop-daemon.sh start journalnode //需手动启动
zkServer.sh start  //启动Zookeeper
start-all.sh

? ? ? ? 附加自己手动启动（系统没启动时可指定启动）

hadoop-daemon.sh start datanode
yarn-daemon.sh start resourcemanager?

3.4?启动hadoop后查看进程? ?jps

????????

????????

?????????

?3.5测试namenode高可用

（1）在hadoop-01上kill掉namenode进程，然后通过浏览器查看hadoop-02的状态，发现状态变为active，说明高可用测试成功
（2）重新启动hadoop-01的namenode进程，sh start-dfs.sh,浏览器访问hadoop-01，此时hadoop-01的状态为standby