0. 실행 환경

AWS t2.xlarge
OS : Red Hat Enterprise Linux 8.6

1. 설치하기

1) Java 설치

yum update
sudo yum install -y java-1.8.0-openjdk
java -version

2) SSH 설정

ssh-keygen -t rsa -P ''
cat /home/ec2-user/.ssh/id_rsa.pub >> /home/ec2-user/.ssh/authorized_keys

3) Hadoop 다운로드

# 다운로드
wget https://dlcdn.apache.org/hadoop/common/hadoop-3.3.4/hadoop-3.3.4-src.tar.gz

#압축 풀기
tar xvzf hadoop-3.3.4.tar.gz

# hadoop으로 이름 변경하여 옮기기
# HADOOP_HOME=/home/ec2-user/project/sw/hadoop
mv hadoop-3.3.4 /home/ec2-user/project/sw/hadoop

https://hadoop.apache.org/releases.html

4) 환경 설정

4-1) 환경 변수 설정

sudo update-alternatives --config java
-> 출력되는 디력토리 복사

vi ~/.bashrc

아래 내용 추가
##HADOOP VARIABLES START
export JAVA_HOME=</copied/javahome/path>
export HADOOP_INSTALL=<HADOOP_HOME>
export PATH=$PATH:$HADOOP_INSTALL/bin
export PATH=$PATH:$HADOOP_INSTALL/sbin
export HADOOP_MAPRED_HOME=$HADOOP_INSTALL export HADOOP_COMMON_HOME=$HADOOP_INSTALL
export HADOOP_HDFS_HOME=$HADOOP_INSTALL export YARN_HOME=$HADOOP_INSTALL
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_INSTALL/lib/native export HADOOP_OPTS="-Djava.library.path=$HADOOP_INSTALL/lib"
##HADOOP VARIABLES END

source ~/.bashrc

4-2) hadoop-env.sh 수정

 vi <HADOOP_HOME>/etc/hadoop/hadoop-env.sh
 
 아래 수정(53줄)
 export JAVA_HOME = <JAVA_HOME>

4-3) core-site.xml 수정

vi <HADOOP_HOME>/etc/hadoop/core-site.xml
 
 
<!-- <configuration> </configuration> 을 아래처럼 수정 -->
 
<configuration>
        <property>
                <name>fs.default.name</name>
                <value>hdfs://localhost:9000</value>
        </property>
</configuration>

4-4) yarn-site.xml 수정

vi <HADOOP_HOME>/etc/hadoop/yarn-site.xml


<!-- <configuration> </configuration> 을 아래처럼 수정 -->
 
<configuration>
<!-- Site specific YARN configuration properties -->
<property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shffle</value>
</property>
<property>
        <name>yarn.nodemanager.aaux-services.mapreduce.shuffle.class</name>
        <value>org.apache.hadoop.mapred.ShffleHandler</value>
</property>
</configuration>

4-5) mapred-site.xml 수정

vi <HADOOP_HOME>/etc/hadoop/mapred-site.xml
<!--(mapred-site.xml이 없으면 mapred-site.xml.template 을 복사해서 수정)-->


<!-- <configuration> </configuration> 을 아래처럼 수정 -->
 
<configuration>
        <property>
                <name>mapreduce.framework.name</name>
                <value>yarn</value>
        </property>
</configuration>

4-6) hdfs-site.xml 수정

# hadoop_store 디렉토리 생성
(hadoop이 위치한 디렉토리(/home/ec2-user/project/sw/)에 )

mkdir -p /home/ec2-user/project/sw/hadoop_store/hdfs/namenode
mkdir -p /home/ec2-user/project/sw/hadoop_store/hdfs/datanode

vi <HADOOP_HOME>/etc/hadoop/hdfs-site.xml

<!-- <configuration> </configuration> 을 아래처럼 수정
 </home/my/dir/datastore> 수정하기!-->
<configuration>
        <property>
                <name>dfs.replication</name>
                <value>1</value>
        </property>
        <property>
                <name>dfs.namenode.name.dir</name>
                <value>file:</home/my/dir/datastore>/hdfs/namenode
</value>
        </property>
        <property>
                <name>dfs.datanode.data.dir</name>
                <value>file:</home//my/dir/datastore>/hdfs/datanode
</value>
        </property>
</configuration>

5) Hadoop 파일 시스템 포맷

hdfs namenode -format

6) Hadoop Single Node Cluster 실행

start-dfs.sh
start-yarn.sh

7) 확인

jps

localhost:9870 접속