下面给你一个Linux 下 Hadoop 集群部署的实操指南,以 Hadoop 3.x + CentOS/Ubuntu 为例,适合新手照做。
假设 3 台机器:
| 主机名 | IP | 角色 |
|---|---|---|
| master | 192.168.1.10 | NameNode / ResourceManager |
| slave1 | 192.168.1.11 | DataNode / NodeManager |
| slave2 | 192.168.1.12 | DataNode / NodeManager |
systemctl stop firewalld
systemctl disable firewalld
hostnamectl set-hostname master
所有节点 /etc/hosts:
192.168.1.10 master
192.168.1.11 slave1
192.168.1.12 slave2
ssh-keygen -t rsa
ssh-copy-id master
ssh-copy-id slave1
ssh-copy-id slave2
yum install java-1.8.0-openjdk-devel -y
# 或 apt install openjdk-8-jdk
配置环境变量:
export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk
wget https://archive.apache.org/dist/hadoop/common/hadoop-3.3.6/hadoop-3.3.6.tar.gz
tar -zxvf hadoop-3.3.6.tar.gz -C /opt
mv /opt/hadoop-3.3.6 /opt/hadoop
配置环境变量:
export HADOOP_HOME=/opt/hadoop
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
hadoop-env.shexport JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk
core-site.xml<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://master:9000</value>
</property>
</configuration>
hdfs-site.xml<configuration>
<property>
<name>dfs.replication</name>
<value>2</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/opt/hadoop/data/namenode</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/opt/hadoop/data/datanode</value>
</property>
</configuration>
mapred-site.xml<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
yarn-site.xml<configuration>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>master</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration>
workersslave1
slave2
scp -r /opt/hadoop slave1:/opt/
scp -r /opt/hadoop slave2:/opt/
hdfs namenode -format
start-dfs.sh
start-yarn.sh
jps
master 应有:
slave 应有:
http://master:9870http://master:8088如果你愿意,我可以帮你:
你现在是 学习用还是生产环境?