一、环境检查
1、java环境检查
java -version
openjdk version "21.0.8" 2025-07-15 LTS
OpenJDK Runtime Environment Microsoft-11933201 (build 21.0.8+9-LTS)
OpenJDK 64-Bit Server VM Microsoft-11933201 (build 21.0.8+9-LTS, mixed mode, sharing)
2、ssh免密检查
Ahdim@Mac-Mini-Pro hadoop % ssh localhost
The authenticity of host 'localhost (127.0.0.1)' can't be established.
ED25519 key fingerprint is SHA256:kqg9GIrbTMPOEAy4wtxzz8aOk6y+U94zc14HaTKfip8.
This key is not known by any other names.
Are you sure you want to continue connecting (yes/no/[fingerprint])? yes
Warning: Permanently added 'localhost' (ED25519) to the list of known hosts.
(Ahdim@localhost) Password:
Last login: Tue Nov 4 15:40:52 2025
如果提示如下信息:
Ahdim@Mac-Mini-Pro hadoop % ssh localhost
ssh: connect to host localhost port 22: Connection refused
按照如下步骤打开权限:
系统设置->通用->共享->远程登录->打开权限
3、创建目录(安装位置)
以下是我的安装位置,仅供参考,根据你的情况定义自己的安装位置
mkdir -p /Users/Ahdim/data/server/hadoop
Ahdim@Mac-Mini-Pro hadoop % pwd
/Users/Ahdim/data/server/hadoop
二、下载 & 解压
cd /Library/Hadoop
curl -O https://archive.apache.org/dist/hadoop/core/hadoop-3.3.6/hadoop-3.3.6.tar.gz
sudo tar -zxf hadoop-3.3.6.tar.gz
sudo mv hadoop-3.3.6 hadoop
三、环境配置
export HADOOP_HOME=/Library/Hadoop/hadoop
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export JAVA_HOME=$(/usr/libexec/java_home)
source ~/.zshrc
$HADOOP_HOME/etc/hadoop路径:
core-site.xml
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://localhost:9000</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/Library/Hadoop/hadoop/tmp</value>
</property>
</configuration>
hdfs-site.xml
<configuration>
<property><name>dfs.replication</name><value>1</value></property>
<property><name>dfs.namenode.http-address</name><value>localhost:9870</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>localhost</value></property>
<property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value></property>
</configuration>
四、初始化 & 启动
首次格式化
hdfs namenode -format
一键启动
验证
jps # 应看到 NameNode/DataNode/ResourceManager/NodeManager
五、Web UI
六、运行测试示例
echo "hello hadoop" > words.txt
hdfs dfs -mkdir -p /input
hdfs dfs -put words.txt /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