tar -zxvf
改成root权限
chown -R root:root *
修改配置文件
cd /usr/hadoop-3.2.2/etc/hadoop/
(1)修改 core-site.xml
vi core-site.xml
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://stydy1</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>file:/usr/hadoop-3.2.2/tmp</value>
<description>Abase for other temporary directories.</description>
</property>
<!-- 指定zookeeper地址 -->
<property>
<name>ha.zookeeper.quorum</name>
<value>he1:2181,he2:2181,he3:2181</value>
</property>
</configuration>
上面指定 zookeeper 地址中的he1,he2,he3 换成你自己机器的主机名（要先配置好主机名与 IP 的映射）或者 ip
（2）修改 hdfs-site.xml
vi hdfs-site.xml
<!--指定hdfs的nameservice为mybigdata，需要和core-site.xml中的保持一致 -->
<property>
<name>dfs.nameservices</name>
<value>mybigdata</value>
</property>
<!-- myNameService1下面有两个NameNode，分别是nn1，nn2 -->
<property>
<name>dfs.ha.namenodes.mybigdata</name>
<value>server1,server2</value>
</property>
<!-- nn1的RPC通信地址 -->
<property>
<name>dfs.namenode.rpc-address.mybigdata.server1</name>
<value>server1:9000</value>
</property>
<!-- nn1的http通信地址 -->
<property>
<name>dfs.namenode.http-address.mybigdata.server1</name>
<value>server1:50070</value>
</property>
<!-- nn2的RPC通信地址 -->
<property>
<name>dfs.namenode.rpc-address.mybigdata.server2</name>
<value>server2:9000</value>
</property>
<!-- nn2的http通信地址 -->
<property>
<name>dfs.namenode.http-address.mybigdata.server2</name>
<value>server2:50070</value>
</property>
<!-- 指定NameNode的元数据在JournalNode上的存放位置 -->
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal:/server1:8485;node1:8485;node2:8485;server2:8485/mybigdata</value>
</property>
<!-- 指定JournalNode在本地磁盘存放数据的位置 -->
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/usr/hadoop-3.2.2/journalData</value>
</property>
<!-- 开启NameNode失败自动切换 -->
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
<!-- 配置失败自动切换实现方式 -->
<property>
<name>dfs.client.failover.proxy.provider.mybigdata</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<!-- 配置隔离机制方法，Failover后防止停掉的Namenode启动，造成两个服务,多个机制用换行分割，即每个机制暂用一行-->
<property>
<name>dfs.ha.fencing.methods</name>
<value>
sshfence
shell(/bin/true)
</value>
</property>
<!-- 使用sshfence隔离机制时需要ssh免登陆，注意换成自己的用户名 -->
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/root/.ssh/id_rsa</value>
</property>
<!-- 配置sshfence隔离机制超时时间 -->
<property>
<name>dfs.ha.fencing.ssh.connect-timeout</name>
<value>30000</value>
</property
<property>
<name>dfs.replication</name>
<value>2</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/hadoop-3.2.2/tmp/dfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/usr/hadoop-3.2.2/tmp/dfs/data</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
在这里吧 里面的‘’mybigdata‘’改成你自己喜欢的名字 server1,server2可改可不改，
server1:9000 server1:50070 ‘’server1这些地方要改成你的主机名
<value>qjournal:/server1:8485;node1:8485;node2:8485;server2:8485/mybigdata</value>
这里面‘/server1:8485;node1:8485;node2:8485;server2:84
Yarn高可用
修改 mapred-site.xml
<configuration>
<!-- 指定mr框架为yarn方式 -->
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<!-- 配置 MapReduce JobHistory Server 地址 ，默认端口10020 -->
<property>
<name>mapreduce.jobhistory.address</name>
<value>server1:10020</value>
</property>
<!-- 配置 MapReduce JobHistory Server web ui 地址， 默认端口19888 -->
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>server1:19888</value>
</property>
<property>
<name>mapreduce.application.classpath</name>
<value>/usr/hadoop-3.2.2/share/hadoop/mapreduce/*,/usr/hadoop-3.2.2/share/hadoop/mapreduce/lib/*</value>
</property>
</configuration>
）修改 yarn-site.xml
<configuration>
<!-- Site specific YARN configuration properties -->
<!-- 开启RM高可用 -->
<property>
<name>yarn.resourcemanager.ha.enabled</name>
<value>true</value>
</property>
<!-- 指定RM的cluster id -->
<property>
<name>yarn.resourcemanager.cluster-id</name>
<value>yrc</value>
</property>
<!-- 指定RM的名字 -->
<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property>
<!-- 分别指定RM的地址 -->
<property>
<name>yarn.resourcemanager.hostname.rm1</name>
<value>server1</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>server2</value>
</property>
<!-- RM对外暴露的web http地址，用户可通过该地址在浏览器中查看集群信息 -->
<property>
<name>yarn.resourcemanager.webapp.address.rm1</name>
<value>server1:8088</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address.rm2</name>
<value>server2:8088</value>
</property>
<!-- 指定zookeeper集群地址 -->
<property>
<name>yarn.resourcemanager.zk-address</name>
<value>server1:2181,server2:2181</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.application.classpath</name>
<value>/usr/hadoop-3.2.2/etc/hadoop:/usr/hadoop-3.2.2/share/hadoop/common/lib/*:/usr/hadoop-3.2.2/share/hadoop/common/*:/usr/hadoop-3.2.2/share/hadoop/hdfs:/usr/hadoop-3.2.2/share/hadoop/hdfs/lib/*:/usr/hadoop-3.2.2/share/hadoop/hdfs/*:/usr/hadoop-3.2.2/share/hadoop/mapreduce/lib/*:/usr/hadoop-3.2.2/share/hadoop/mapreduce/*:/usr/hadoop-3.2.2/share/hadoop/yarn:/usr/hadoop-3.2.2/share/hadoop/yarn/lib/*:/usr/hadoop-3.2.2/share/hadoop/yarn/*</value>
</property>
修改workers文件
vi /usr/hadoop-3.2.2/etc/hadoop/workers
启动hadoop有报错没有java_home就修改
指定自己的位置
配置hadoop环境变量
vi /etc/profile
export HADOOP_HOME=/usr/hadoop-3.2.2
export PATH=$PATH:$HADOOP_HOME/bin
生效
source /etc/profile
启动hadoop
cd /usr/hadoop-3.2.2/sbin/
./hadoop-daemon.sh start journalnode
拷贝命令
scp -r /usr/hadoop-3.2.2/ he2:/usr/
启动集群
cd /usr/hadoop-3.2.2/sbin/
拷贝整个文件夹
scp -r 文件目录/* hostB：存放目录
scp -r hadoop-3.2.2 he2:/usr/
安装jdk步骤
先下载jdk的tar压缩包
然后解压jdk并压缩至指定安装目录，如果不需要指定安装目录直接写tar -zxvf jdk压缩包名即可
tar -zxvf jdk压缩包 -C /这里写指定安装目录
配置环境变量
vi etc/profile
在环境变量中写入自己jdk安装目录，JAVA_HOME后面写自己jdk的安装目录
export JAVA_HOME=/usr/jdk1.8.0_301
export PATH=$PATH:$JAVA_HOME/bin
然后esc shift+： wq保存退出
刷新一下配置信息
source /etc/profile
再看看jdk是否安装成功
java -version
有结果就表示安装成功
查看日志
cd /usr/hadoop-3.2.2/
cd logs/
cat hadoop-root-journalnode-he3.log