完全分布式Hadoop3.X的搭建

准备工作以及安装hadoop之前的操作和Hadoop2.X的安装相同，在我上一篇博客中，这里不做过多介绍

https://www.cnblogs.com/lmandcc/p/15306163.html

 

1. 写一些关键脚本，利于后续集群使用

 

1.1集群分发脚本xsync

 

cd /bin/

vim xsyn

#!/bin/bash
#1. 判断参数个数
if [ $# -lt 1 ]
then
  echo Not Enough Arguement!
  exit;
fi
#2. 遍历集群所有机器
for host in hadoop102 hadoop103 hadoop104
do
 echo ====================  $host  ====================
  #3. 遍历所有目录，挨个发送
  for file in $@
  do
    #4. 判断文件是否存在
    if [ -e $file ]
    then
      #5. 获取父目录
      pdir=$(cd -P $(dirname $file); pwd)
      #6. 获取当前文件的名称
      fname=$(basename $file)
      ssh $host "mkdir -p $pdir"
      rsync -av $pdir/$fname $host:$pdir
    else
      echo $file does not exists!
    fi
  done
done

 

1.2 查看节点Java进程脚本 jpsall

vim jpsall

#!/bin/bash

for i in hadoop102 hadoop103 hadoop104
do
        echo =============== $i ===============
        ssh $i "$*" "/usr/local/soft/jdk1.8.0_212/bin/jps"
done     

1.3  控制Hadoop启动和停止脚本

vim myhadoop

 

#!/bin/bash
if [ $# -lt 1 ]
then
    echo "No Args Input..."
    exit ;
fi
case $1 in
"start")
        echo " =================== 启动 hadoop集群 ==================="

        echo " --------------- 启动 hdfs ---------------"
        ssh hadoop102 "/usr/local/soft/hadoop-3.1.3/sbin/start-dfs.sh"
        echo " --------------- 启动 yarn ---------------"
        ssh hadoop103 "/usr/local/soft/hadoop-3.1.3/sbin/start-yarn.sh"
        echo " --------------- 启动 historyserver ---------------"
        ssh hadoop102 "/usr/local/soft/hadoop-3.1.3/bin/mapred --daemon start his
toryserver";;
"stop")
        echo " =================== 关闭 hadoop集群 ==================="

        echo " --------------- 关闭 historyserver ---------------"
        ssh hadoop102 "/usr/local/soft/hadoop-3.1.3/bin/mapred --daemon stop hist oryserver"       
        echo " --------------- 关闭 yarn ---------------"
        ssh hadoop103 "/usr/local/soft/hadoop-3.1.3/sbin/stop-yarn.sh"
        echo " --------------- 关闭 hdfs ---------------"
        ssh hadoop102 "/usr/local/soft/hadoop-3.1.3/sbin/stop-dfs.sh"
;;
*)
    echo "Input Args Error..."
;;
esac
        

 

注意:这里每个脚本都需要修改读写权限：chmod 777  脚本名称

 

 

2. 将Hadoop3.1.3用xftp导入Hadoop102中

 

 

3. 解压Hadoop文件

tar -zxvf  /usr/local/module/hadoop-3.1.3.tar.gz   -C /usr/local/soft

 

 

 

 

4. 配置环境变量

 

export JAVA_HOME=/usr/local/soft/jdk1.8.0_212
export PATH=$PATH:$JAVA_HOME/bin
export HADOOP_HOME=/usr/local/soft/hadoop-3.1.3
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export Redis_HOME=/usr/local/soft/redis/
export PATH=$PATH:$REDIS_HOME/bin

 

 

 

 

 

 

5. 集群配置搭建

 

 

1) 集群部署规划

 

​ 备注：Namenode和SecondaryNameNode不要安装在同一台服务器

 

​ 备注：ResourceManager也很消耗内存，不要和NameNode、SecondaryNameNode配置在同一台机器上。

 

 

 

	hadoop102	hadoop103	hadoop104
HDFS	NameNode DataNode	DataNode	SecondaryNameNode DataNode
YARN	NodeManager	ResourceManager NodeManager	NodeManager

 

 

 

2）配置集群

cd  /usr/local/soft/hadoop-3.1.3/etc/hadoop

(a) 核心配置文件 core.site.xml

  <!-- 指定NameNode的地址 -->
    >
        >fs.defaultFS
        >hdfs://hadoop102:8020
    </property>

    <!-- 指定hadoop数据的存储目录 -->
    >
        >hadoop.tmp.dir
        >/usr/local/soft/hadoop-3.1.3/data
    </property>
</configuration>

 

 

(b)HDFS文件 hdfs-site.xml

 

ion="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
>
        <!-- nn web端访问地址-->
        >
        >dfs.namenode.Http-address
        >hadoop102:9870
    </property>
        <!-- 2nn web端访问地址-->
    >
        >dfs.namenode.secondary.http-address
        >hadoop104:9868
    </property>
>
        >dfs.permissions.enabled
        >false
</property>
>
>
dfs.client.block.write.replace-datanode-on-failure.enable
</name>
>true
</property>
>
>
dfs.client.block.write.replace-datanode-on-failure.policy
</name>
>never
</property>
>
    >dfs.WEBhdfs.enabled
    >true
</property>
</configuration>

 

（c）YARN配置文件 yarn-site.xml

 

<!-- Site specific YARN configuration properties -->
 <!-- 指定MR走shuffle -->
    >
        >yarn.nodemanager.aux-services
        >mapReduce_shuffle
    </property>

    <!-- 指定ResourceManager的地址-->
    >
        >yarn.resourcemanager.hostname
        >hadoop103
    </property>

    <!-- 环境变量的继承 -->
    >
        >yarn.nodemanager.env-whitelist
        >JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLAS
SPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAPRED_HOME</value>    
<!-- 开启日志聚集功能 -->
>
    >yarn.log-aggregation-enable
    >true
</property>
<!-- 设置日志聚集服务器地址 -->
>
    >yarn.log.server.url
    >http://hadoop102:19888/jobhistory/logs
</property>
<!-- 设置日志保留时间为7天 -->
>
    >yarn.log-aggregation.retain-seconds
    >604800
</property>
</configuration>

 

（d）MapReduce配置文件  mapred-site.xml

 

 

在这里需要重命名mapred-site.xml.template 

 

命令：mv mapred-site.xml.template mapred-site.xml

 

"1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

>
        <!-- 指定MapReduce程序运行在Yarn上 -->
    >
        >mapreduce.framework.name
        >yarn
    </property>
<!-- 历史服务器端地址 -->
>
    >mapreduce.jobhistory.address
    >hadoop102:10020
</property>

<!-- 历史服务器web端地址 -->
>
    >mapreduce.jobhistory.webapp.address
    >hadoop102:19888
</property>
</configuration>

 

 

(e)配置workers

 

 

（f）在/hadoop/sbin路径下：将start-dfs.sh，stop-dfs.sh两个文件顶部添加以下参数

HDFS_DATANODE_USER=root
HADOOP_SECURE_DN_USER=hdfs
HDFS_NAMENODE_USER=root
HDFS_SECONDARYNAMENODE_USER=root

 

（g）start-yarn.sh，stop-yarn.sh顶部也需添加以下

YARN_RESOURCEMANAGER_USER=root
HADOOP_SECURE_DN_USER=yarn
YARN_NODEMANAGER_USER=root

 

6.分发Hadoop给剩余节点

xsync /usr/local/soft/hadoop-3.1.3

 

7. 启动集群

如果集群是第一次启动，需要在hadoop102节点格式化NameNode

使用myhadoop start 启动集群

 

 

 使用jpsall查看Java进程

 

如果配置文件不出错的话，应该和我Java进程相同

 

 

 

8.停止Hadoop集群

myhadoop stop