在 Debian 上运行 Hadoop,通常有两种常见方式:单机/伪分布式(学习用) 和 完全分布式集群(生产/实验)。下面我先给你一个最实用、最容易成功的 Debian 上跑 Hadoop 步骤(伪分布式),再补充集群思路。
sudo apt update
sudo apt install -y openjdk-11-jdk ssh pdsh
检查 Java:
java -version
sudo adduser hadoop
sudo usermod -aG sudo hadoop
su - hadoop
ssh-keygen -t rsa
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
chmod 600 ~/.ssh/authorized_keys
ssh localhost
能直接登录成功说明 OK。
以 Hadoop 3.3.6 为例:
wget https://downloads.apache.org/hadoop/common/hadoop-3.3.6/hadoop-3.3.6.tar.gz
tar -xzf hadoop-3.3.6.tar.gz
mv hadoop-3.3.6 ~/hadoop
编辑 ~/.bashrc:
export JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64
export HADOOP_HOME=/home/hadoop/hadoop
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
生效:
source ~/.bashrc
core-site.xml<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://localhost:9000</value>
</property>
</configuration>
hdfs-site.xml<configuration>
<property>
<name>dfs.replication</name>
<value>1</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.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration>
hdfs namenode -format
start-dfs.sh
start-yarn.sh
检查进程:
jps
应看到:
hdfs dfs -mkdir /input
hdfs dfs -put ~/hadoop/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/part-r-00000
如果是多台 Debian 机器:
workers 文件→ SSH 没配好
→ 检查 JAVA_HOME
sudo ufw disable
如果你愿意,我可以:
你现在是学习还是做项目?