Hadoop3.2.0集群（4节点-无HA）
1.准备环境
1.1配置dns
# cat /etc/hosts
172.27.133.60 hadoop-01
172.27.133.61 hadoop-02
172.27.133.62 hadoop-03
172.27.133.63 hadoop-04
1.2配置免密登陆
# ssh-keygen
# ssh-copy-id root@hadoop-02/03/04
1.3关闭防火墙
# cat /etc/selinux/config
SELINUX=disabled
# systemctl stop firewalld
# systemctl disable firewalld
1.4配置Java环境,Hadoop环境
# tar -xf /data/software/jdk-8u171-linux-x64.tar.gz -C /usr/local/java
# tar -xf /data/software/hadoop-3.2.0.tar.gz -C /data/hadoop
# cat /etc/profile
export HADOOP_HOME=/data/hadoop/hadoop-3.2.0
export JAVA_HOME=/usr/local/java/jdk1.8.0_171
export PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop
# source /etc/profile
# java -version
java version "1.8.0_171"
Java(TM) SE Runtime Environment (build 1.8.0_171-b11)
Java HotSpot(TM) 64-Bit Server VM (build 25.171-b11, mixed mode)
2.配置Hadoop
2.1配置Hadoop环境脚本文件中的JAVA_HOME参数
# cd /data/hadoop/hadoop-3.2.0/etc/hadoop
# vim hadoop-env.sh 和 mapred-env.sh 和 yarn-env.sh，向脚本添加JAVA_HOME
export JAVA_HOME=/usr/local/java/jdk1.8.0_171
# hadoop version
Hadoop 3.2.0
Source code repository https://github.com/apache/hadoop.git -r e97acb3bd8f3befd27418996fa5d4b50bf2e17bf
Compiled by sunilg on 2019-01-08T06:08Z
Compiled with protoc 2.5.0
From source with checksum d3f0795ed0d9dc378e2c785d3668f39
This command was run using /data/hadoop/hadoop-3.2.0/share/hadoop/common/hadoop-common-3.2.0.jar
2.2修改Hadoop配置文件
在hadoop-3.2.0/etc/hadoop目录下，修改core-site.xml、hdfs-site.xml、mapred-site.xml、yarn-site.xml、workers文件，具体参数按照实际情况修改。
2.2.1修改core-site.xml
（文件系统）
<configuration>
<property>
<!-- 配置hdfs地址 -->
<name>fs.defaultFS</name>
<value>hdfs://hadoop-01:9000</value>
</property>
<property>
<!-- 保存临时文件目录，需先在/data/hadoop下创建tmp目录 -->
<name>hadoop.tmp.dir</name>
<value>/data/hadoop/tmp</value>
</property>
</configuration>
# mkdir /data/hadoop/tmp
2.2.2修改hdfs-site.xml
(副本数)
<configuration>
<property>
<!-- 主节点地址 -->
<name>dfs.namenode.http-address</name>
<value>hadoop-01:50070</value>
</property>
<property>
<name>dfs.secondary.http.address</name>
<value>hadoop-02:50070</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/data/hadoop/dfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/data/hadoop/dfs/data</value>
</property>
<property>
<!-- 备份数为默认值2 -->
<name>dfs.replication</name>
<value>2</value>
</property>
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
<description>配置为false后，可以允许不要检查权限就生成dfs上的文件，方便倒是方便了，但是你需要防止误删除.</description>
</property>
</configuration>
2.2.3修改mapred-site.xml
（资源调度框架）
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>hadoop-01:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>hadoop-01:19888</value>
</property>
<property>
<name>mapreduce.application.classpath</name>
<value>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*:$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*</value>
</property>
</configuration>
2.2.4修改yarn-site.xml
<configuration>
<!-- Site specific YARN configuration properties -->
<property>
<name>yarn.resourcemanager.hostname</name>
<value>hadoop-01</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>172.27.133.60:8088</value>
<description>配置外网只需要替换外网ip为真实ip，否则默认为 localhost:8088</description>
</property>
<property>
<name>yarn.scheduler.maximum-allocation-mb</name>
<value>2048</value>
<description>每个节点可用内存,单位MB,默认8182MB</description>
</property>
<property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
<description>忽略虚拟内存的检查，如果你是安装在虚拟机上，这个配置很有用，配上去之后后续操作不容易出问题。</description>
</property>
<property>
<name>yarn.nodemanager.env-whitelist</name>
<value>JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAPRED_HOME</value>
</property>
</configuration>
2.2.5修改workers
添加从节点地址，IP或者hostname
hadoop-02
hadoop-03
hadoop-04
2.3将配置好的文件夹拷贝到其他从节点
# scp -r /data/hadoop root@hadoop-02:/data/hadoop
# scp -r /data/hadoop root@hadoop-03:/data/hadoop
# scp -r /data/hadoop root@hadoop-04:/data/hadoop
2.4配置启动脚本Yarn权限
2.4.1添加hdfs权限
在第二行空白位置添加hdfs权限
# cat sbin/start-dfs.sh
# cat sbin/stop-dfs.sh
#!/usr/bin/env bash
HDFS_DATANODE_USER=root
HDFS_DATANODE_SECURE_USER=hdfs
HDFS_NAMENODE_USER=root
HDFS_SECONDARYNAMENODE_USER=root
···
2.4.2添加Yarn权限
在第二行空白位置添加Yarn权限
# cat sbin/start-yarn.sh
# cat sbin/stop-yarn.sh
#!/usr/bin/env bash
YARN_RESOURCEMANAGER_USER=root
HDFS_DATANODE_SECURE_USER=yarn
YARN_NODEMANAGER_USER=root
···
如果不添加权限，在启动时候会报错
ERROR: Attempting to launch hdfs namenode as root
ERROR: but there is no HDFS_NAMENODE_USER defined. Aborting launch.
Starting datanodes
ERROR: Attempting to launch hdfs datanode as root
ERROR: but there is no HDFS_DATANODE_USER defined. Aborting launch.
Starting secondary namenodes [localhost.localdomain]
ERROR: Attempting to launch hdfs secondarynamenode as root
ERROR: but there is no HDFS_SECONDARYNAMENODE_USER defined. Aborting launch.
3.初始化并启动
3.1格式化hdfs
# bin/hdfs namenode -format
3.2启动
3.2.1一步启动
# sbin/start-all.sh
3.2.2分布启动
# sbin/start-dfs.sh
# sbin/start-yarn.sh
4.验证
4.1列出进程
-
主节点hadoop-01
# jps 32069 SecondaryNameNode 2405 NameNode 2965 ResourceManager 3645 Jps -
从节点hadoop-02
# jps 25616 NodeManager 25377 DataNode 25508 SecondaryNameNode 25945 Jps -
从节点hadoop-03
# jps 14946 NodeManager 15207 Jps 14809 DataNode -
从节点hadoop-04
# jps 14433 Jps 14034 DataNode 14171 NodeManager4
4.2访问页面
http://hadoop-01:8088打开ResourceManager页面
http://hadoop-01:50070打开Hadoop Namenode页面
愿力量与你同在_YC
