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Hadoop集群安装部署

静守幸福 2022-04-03 阅读 55
java后端

hadoop集群安装部署

1、服务器主机名和IP配置(三台)
2、修改每个主机的/etc/hosts文件,添加IP和主机名的对应关系(三台)
3、管理节点到从节点配置无密码登录
4、配置jdk  1.8(三台)
5、关闭防火墙(三台)
6、关闭selinux(三台)
vi   /etc/selinux/config
SELINUX=enforcing        SELINUX=disabled               重启系统

安装流程

1、上传软件包到管理节点,在管理节点解压并配置
2、将修改完的解压包,远程拷贝到所有的从节点
3、启动软件

CDH 分布式环境搭建

1、软件包上传并解压

tar -zxvf hadoop-2.6.0-cdh5.14.0-with-centos6.9.tar.gz  -C ../servers/

2、第二步查看hadoop支持的压缩方式以及本地库

  ./hadoop checknative

在这里插入图片描述

安装openssl
yum -y install openssl-devel
./hadoop checknative

在这里插入图片描述

3、修改配置文件

修改 core-site.xml

cd /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop
vim core-site.xml  


<configuration>
<property>
	<name>fs.defaultFS</name>
	<value>hdfs://node01:8020</value>
</property>
<property>
	<name>hadoop.tmp.dir</name>
	<value>/export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/tempDatas</value>
</property>
<!--  缓冲区大小,实际工作中根据服务器性能动态调整 -->
<property>
	<name>io.file.buffer.size</name>
	<value>4096</value>
</property>

<!--  开启hdfs的垃圾桶机制,删除掉的数据可以从垃圾桶中回收,单位分钟 -->
<property>
	<name>fs.trash.interval</name>
	<value>10080</value>
	</property>
</configuration>

修改 hdfs-site.xml

	cd /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop
	vim hdfs-site.xml
	<configuration>
	<!-- NameNode存储元数据信息的路径,实际工作中,一般先确定磁盘的挂载目录,然后多个目录用,进行分割   --> 
	<!--   集群动态上下线 
	<property>
		<name>dfs.hosts</name>
		<value>/export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop/accept_host</value>
	</property>
	
	<property>
		<name>dfs.hosts.exclude</name>
		<value>/export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop/deny_host</value>
	</property>
	 -->
	 
	 <property>
			<name>dfs.namenode.secondary.http-address</name>
			<value>node01:50090</value>
	</property>

	<property>
		<name>dfs.namenode.http-address</name>
		<value>node01:50070</value>
	</property>
	<property>
		<name>dfs.namenode.name.dir</name>
		<value>file:///export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/namenodeDatas</value>
	</property>
	<!--  定义dataNode数据存储的节点位置,实际工作中,一般先确定磁盘的挂载目录,然后多个目录用,进行分割  -->
	<property>
		<name>dfs.datanode.data.dir</name>
		<value>file:///export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/datanodeDatas</value>
	</property>
	
	<property>
		<name>dfs.namenode.edits.dir</name>
		<value>file:///export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/dfs/nn/edits</value>
	</property>
	<property>
		<name>dfs.namenode.checkpoint.dir</name>
		<value>file:///export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/dfs/snn/name</value>
	</property>
	<property>
		<name>dfs.namenode.checkpoint.edits.dir</name>
		<value>file:///export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/dfs/nn/snn/edits</value>
	</property>
	<property>
		<name>dfs.replication</name>
		<value>2</value>
	</property>
	<property>
		<name>dfs.permissions</name>
		<value>false</value>
	</property>
<property>
		<name>dfs.blocksize</name>
		<value>134217728</value>
	</property>
</configuration>

修改 Hadoop-env.sh (不用改)

修改 mapred-site.xml

cd /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop   
cp  mapred-site.xml.template    mapred-site.xml
vim mapred-site.xml


<configuration>
	<property>
<!--运行模式-->
		<name>mapreduce.framework.name</name>
		<value>yarn</value>
	</property>

	<property>
	<!--JVM重用 -->
		<name>mapreduce.job.ubertask.enable</name>
		<value>true</value>
	</property>
	
	<property>
		<name>mapreduce.jobhistory.address</name>
		<value>node01:10020</value>
	</property>

	<property>
		<name>mapreduce.jobhistory.webapp.address</name>
		<value>node01:19888</value>
	</property>
</configuration>

修改 slaves

cd /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop
vim slaves

修改yarn-site.xml

cd /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop
vim yarn-site.xml

<configuration>
	<property>
		<name>yarn.resourcemanager.hostname</name>
		<value>node01</value>
	</property>
	<property>
<!-- nodemanager 上的附属服务,只有配置成mapreduce_shuffle 才能运行-->
		<name>yarn.nodemanager.aux-services</name>
		<value>mapreduce_shuffle</value>
	</property>
</configuration>

4. 创建文件存放目录

mkdir -p /export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/tempDatas
mkdir -p /export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/namenodeDatas
mkdir -p /export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/datanodeDatas 
mkdir -p /export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/dfs/nn/edits
mkdir -p /export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/dfs/snn/name
mkdir -p /export/servers/hadoop-2.6.0-cdh5.14.0/hadoopDatas/dfs/nn/snn/edits

5.安装包的分发

cd /export/servers/

scp -r hadoop-2.6.0-cdh5.14.0/ node02:$PWD
scp -r hadoop-2.6.0-cdh5.14.0/ node03:$PWD

6.配置Hadoop的环境变量(类似于配置jdk的过程)

vim  /etc/profile.d/hadoop.sh
export HADOOP_HOME=/export/servers/hadoop-2.6.0-cdh5.14.0
export PATH=:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH

配置完成之后
source /etc/profile

7.启动集群

a)格式化集群
在第一个节点执行 (在sbin目录下进行) hadoop  namenode   -format
b)启动
i.每个组件独立启动
1.启动namenode   node01节点   ./hadoop-daemon.sh  start  namenode
2.启动namenode	node01、02、03节点  ./hadoop-daemon.sh  start  datanode
3.启动resourcemanager   node01节点  ./yarn-daemon.sh   start  resourcemanager
4.启动nodemanager  node01、02、03节点    ./yarn-daemon.sh  start  nodemanager

ii.单独启动
1.单独启动HDFS  :  ./start-dfs.sh        关闭 ./stop-dfs.sh
2.单独启动Yarn   :  ./start-yarn.sh       关闭 ./stop-yarn.sh

iii.一键启动所有
启动:  ./start-all.sh      			 关闭:./stop-all.sh

8.浏览器查看启动页面

http://主节点ip:50070
http://主节点ip:8088
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