一、Prerequisites

一台机器：这里使用Centos7.8，机器ip是：192.168.0.20
JAVA8：必须使用JAVA8，其他java版本不支持
SSH：需要免密登录自身

Java8配置示例如下：

mkdir /usr/local/java8
tar zxvf jdk-8u351-linux-x64.tar.gz -C /usr/local/java8/
cd /usr/local/java8/jdk1.8.0_351/
cat >> /etc/profile << 'eof'
## JDK8
export JAVA_HOME=/usr/local/java8/jdk1.8.0_351
export JRE_HOME=${JAVA_HOEM}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib:$CLASSPATH
export JAVA_PATH=${JAVA_HOME}/bin:${JRE_HOME}/bin
export PATH=$PATH:${JAVA_PATH}
eof
source /etc/profile

二、Hadoop-3.3.5安装

1.1 配置hdfs

tar zxvf hadoop-3.3.5.tar.gz -C /usr/local/
cd /usr/local/hadoop-3.3.5/
cat >> /etc/profile << 'eoe'
## Hadoop3.3.5
export HADOOP_HOME=/usr/local/hadoop-3.3.5
export PATH=$PATH:${HADOOP_HOME}/bin:${HADOOP_HOME}/sbin
eoe
source /etc/profile
echo "export JAVA_HOME=/usr/local/java8/jdk1.8.0_351" >> etc/hadoop/hadoop-env.sh
echo "export HADOOP_PID_DIR=${HADOOP_HOME}/pids" >> /etc/hadoop/hadoop-env.sh
cat > etc/hadoop/core-site.xml << 'eof'
<configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://192.168.0.20:9000</value>
    </property>
    <property>
        <name>io.file.buffer.size</name>
        <value>131072</value>
    </property>
</configuration>
eof

cat > etc/hadoop/hdfs-site.xml << 'eog'
<configuration>
    <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
    <property>
        <name>dfs.namenode.name.dir</name>
        <value>/mnt/data01/hadoop</value>
    </property>
    <property>
        <name>dfs.blocksize</name>
        <value>268435456</value>
    </property>
    <property>
        <name>dfs.namenode.handler.count</name>
        <value>100</value>
    </property>

    <property>
        <name>dfs.datanode.data.dir</name>
        <value>/mnt/data01/hdfs_dndata</value>
    </property>
</configuration>
eog

1.2 配置hosts

hostnamectl set-hostname bigdata001.local
bash
echo "192.168.0.20  bigdata001.local" >> /etc/hosts

1.3 创建免密

useradd xwp
su - xwp -c "ssh-keygen -t rsa -P '' -f ~/.ssh/id_rsa"
su - xwp -c "cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys"
su - xwp -c "chmod 0600 ~/.ssh/authorized_keys"
chown -R xwp:xwp /usr/local/hadoop-3.3.5
mkdir /usr/local/hadoop-3.3.5/pids
chown -R xwp:xwp /usr/local/hadoop-3.3.5/pids
mkdir -p /mnt/data01/hadoop
mkdir -p /mnt/data01/hdfs_dndata
mkdir -p /mnt/data01/yarn_nmdata
chown -R xwp:xwp /mnt/data01/hadoop
chown -R xwp:xwp /mnt/data01/hdfs_dndata
chown -R xwp:xwp /mnt/data01/yarn_nmdata

1.4 启动HDFS

这里启动了一个Namenode，SecondaryNamenode，Datanode

su - xwp

cd /usr/local/hadoop-3.3.5
bin/hdfs namenode -format
sbin/start-dfs.sh

Namenode的web页面：http://192.168.0.20:9870

1.4.1 创建执行mapreduce任务所需的HDFS目录

hdfs dfs -mkdir /user
hdfs dfs -mkdir /user/xwp

1.4.2 执行mapreduce任务

hdfs dfs -mkdir input
hdfs dfs -put etc/hadoop/*.xml input
hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.5.jar grep input output 'dfs[a-z.]+'
hdfs dfs -get output output
cat output/*

1.5 启动YARN

配置mapred和yarn

cat > etc/hadoop/mapred-site.xml << 'eof'
<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
    <property>
        <name>mapreduce.map.memory.mb</name>
        <value>1536</value>
    </property>
    <property>
        <name>mapreduce.map.java.opts</name>
        <value>-Xmx1024M</value>
    </property>
    <property>
        <name>mapreduce.reduce.memory.mb</name>
        <value>3072</value>
    </property>
    <property>
        <name>mapreduce.reduce.java.opts</name>
        <value>-Xmx2560M</value>
    </property>
    <property>
        <name>mapreduce.task.io.sort.mb</name>
        <value>512</value>
    </property>
    <property>
        <name>mapreduce.task.io.sort.factor</name>
        <value>100</value>
    </property>
    <property>
        <name>mapreduce.application.classpath</name>
        <value>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*:$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*</value>
    </property>

    <!--property>
        <name>mapreduce.jobhistory.address</name>
        <value>hdfs://192.168.0.20:10020</value>
    </property-->
    <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>http://192.168.0.20:19888</value>
    </property>
</configuration>
eof

cat > etc/hadoop/yarn-site.xml << 'eog'
<configuration>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.nodemanager.env-whitelist</name>
        <value>JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_HOME,PATH,LANG,TZ,HADOOP_MAPRED_HOME</value>
    </property>
    <property>
        <name>yarn.nodemanager.local-dirs</name>
        <value>/mnt/data01/yarn_nmdata</value>
    </property>
</configuration>
eog

sbin/start-yarn.sh

sbin/start-yarn.sh只启动了ResourceManger和NodeManager。如果需要启动JobhistoryServer，则bin/mapred --daemon start historyserver即可。这里我没有启动它。

Yarn的web页面：http://192.168.0.20:8088

OK！环境已经搭建好了，可以开始愉快的学习hadoop了。

Hadoop-3.3.5伪分布式安装

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