下面给你一个从零开始在 Linux 上部署 Hadoop(单机 / 伪分布式)的完整流程,适合学习、测试环境。如果你后面需要完全分布式集群,我也可以继续补充。
# CentOS / Rocky
sudo yum install -y java-1.8.0-openjdk java-1.8.0-openjdk-devel
# Ubuntu
sudo apt update
sudo apt install -y openjdk-8-jdk
验证:
java -version
sudo useradd -m hadoop
sudo passwd hadoop
su - hadoop
wget https://downloads.apache.org/hadoop/common/hadoop-3.3.6/hadoop-3.3.6.tar.gz
tar -zxvf hadoop-3.3.6.tar.gz
mv hadoop-3.3.6 /usr/local/hadoop
编辑 ~/.bashrc:
export HADOOP_HOME=/usr/local/hadoop
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk
生效:
source ~/.bashrc
验证:
hadoop version
vim $HADOOP_HOME/etc/hadoop/hadoop-env.sh
设置:
export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk
vim $HADOOP_HOME/etc/hadoop/core-site.xml
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://localhost:9000</value>
</property>
</configuration>
vim $HADOOP_HOME/etc/hadoop/hdfs-site.xml
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
</configuration>
vim $HADOOP_HOME/etc/hadoop/mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
vim $HADOOP_HOME/etc/hadoop/yarn-site.xml
<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration>
ssh-keygen -t rsa
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
chmod 600 ~/.ssh/authorized_keys
测试:
ssh localhost
⚠️ 只需执行一次
hdfs namenode -format
start-dfs.sh
start-yarn.sh
查看进程:
jps
应看到:
hdfs dfs -mkdir /test
hdfs dfs -put $HADOOP_HOME/etc/hadoop/*.xml /test
hdfs dfs -ls /test
✅ 确保 hadoop-env.sh 和 yarn-env.sh 都配置了 JAVA_HOME
systemctl stop firewalld
或放行端口:
firewall-cmd --add-port=9870/tcp --permanent
firewall-cmd --reload
如果你告诉我:
我可以给你定制部署方案 ✅