在 Debian 下配置 Hadoop,通常分为 单机伪分布式(Pseudo-Distributed) 和 完全分布式(Fully Distributed) 两种。下面以 Hadoop 3.x + Debian 11/12 为例,给你一套可实际操作的完整流程(最常用的是伪分布式,适合学习和开发)。
Hadoop 依赖 Java:
sudo apt update
sudo apt install openjdk-11-jdk -y
验证:
java -version
sudo adduser hadoop
sudo usermod -aG sudo hadoop
su - hadoop
wget https://downloads.apache.org/hadoop/common/hadoop-3.3.6/hadoop-3.3.6.tar.gz
tar -xzvf hadoop-3.3.6.tar.gz
sudo mv hadoop-3.3.6 /opt/hadoop
sudo chown -R hadoop:hadoop /opt/hadoop
编辑 ~/.bashrc:
nano ~/.bashrc
添加:
export HADOOP_HOME=/opt/hadoop
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64
生效:
source ~/.bashrc
验证:
hadoop version
Hadoop 需要通过 SSH 启动节点:
sudo apt install ssh
ssh-keygen -t rsa
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
chmod 600 ~/.ssh/authorized_keys
测试:
ssh localhost
进入配置目录:
cd $HADOOP_HOME/etc/hadoop
nano hadoop-env.sh
设置 Java 路径:
export JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://localhost:9000</value>
</property>
</configuration>
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
</configuration>
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration>
hdfs namenode -format
start-dfs.sh
start-yarn.sh
查看进程:
jps
应看到:
NameNode
DataNode
SecondaryNameNode
ResourceManager
NodeManager
http://localhost:9870
http://localhost:8088
hdfs dfs -mkdir /input
hdfs dfs -put $HADOOP_HOME/etc/hadoop/*.xml /input
hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.6.jar wordcount /input /output
hdfs dfs -cat /output/*
✅ 确认 hadoop-env.sh 和 yarn-env.sh 中 Java 路径正确
netstat -tunlp | grep 9000
sudo chown -R hadoop:hadoop /opt/hadoop
如果你需要 多节点集群,需要:
workers 文件fs.defaultFS 指向 NameNode 主机名如果你愿意,我可以:
✅ 给你 Debian + Hadoop 完全分布式 配置
✅ 帮你 排查启动报错
✅ 给你 生产环境参数优化建议
你现在是要 学习 / 测试 / 生产环境 用?