下面给你一个**Linux 下 HDFS 集群部署(以 Hadoop 为例)的清晰实操指南,适合完全分布式(Cluster)**环境,不涉及太多年老版本坑。
| 节点 | 角色 |
|---|---|
| node1 | NameNode + ResourceManager |
| node2 | DataNode + NodeManager |
| node3 | DataNode + NodeManager |
最少 3 台机器(生产建议 3 个以上 DataNode)
# 所有节点
hostnamectl set-hostname node1
# /etc/hosts
192.168.1.10 node1
192.168.1.11 node2
192.168.1.12 node3
useradd hadoop
passwd hadoop
ssh-keygen -t rsa
ssh-copy-id node1
ssh-copy-id node2
ssh-copy-id node3
java -version
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
ln -s /opt/hadoop-3.3.6 /opt/hadoop
配置环境变量:
# /etc/profile
export HADOOP_HOME=/opt/hadoop
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
source /etc/profile
hadoop-env.shexport JAVA_HOME=/usr/java/jdk1.8.0_xxx
core-site.xml<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://node1:9000</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/hadoop/tmp</value>
</property>
</configuration>
hdfs-site.xml<configuration>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/opt/hadoop/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/opt/hadoop/data</value>
</property>
</configuration>
workers(Hadoop 3 用 workers)node2
node3
scp -r /opt/hadoop node2:/opt
scp -r /opt/hadoop node3:/opt
hdfs namenode -format
start-dfs.sh
查看进程:
jps
NameNodeDataNodehdfs dfs -mkdir /test
hdfs dfs -put file.txt /test
hdfs dfs -ls /test
Web UI:
http://node1:9870
workersdata 目录重新格式化(测试环境)firewall-cmd --zone=public --add-port=9870/tcp --permanent
firewall-cmd --reload
如果你要跑 MapReduce:
yarn-site.xmlstart-yarn.sh如果你愿意,我可以:
直接把你的节点信息发我就行。