hadoop安装记录

零、版本说明

• centos

[root@node1 ~]# cat /etc/redhat-release 
CentOS Linux release 7.9.2009 (Core)

• jdk

[root@node1 ~]# java -version
java version "1.8.0_311"
Java(TM) SE Runtime Environment (build 1.8.0_311-b11)
Java HotSpot(TM) 64-Bit Server VM (build 25.311-b11, mixed mode)

• hadoop

[root@node1 ~]# hadoop version
Hadoop 3.3.0
Source code repository Unknown -r Unknown
Compiled by root on 2021-07-15T07:35Z
Compiled with protoc 3.7.1
From source with checksum 5dc29b802d6ccd77b262ef9d04d19c4
This command was run using /export/server/hadoop-3.3.0/share/hadoop/common/hadoop-common-3.3.0.jar

一、环境准备

1.1.规划

1.2.准备

所有机器上执行

sed -i "s/timeout=5/timeout=1/" /boot/grub2/grub.cfg

mkdir -p /export/{server,software,data}

cd /export/server/

tar -zxf jdk-8u311-linux-x64.tar.gz

ln -s jdk1.8.0_311/ jdk

tar zxf hadoop-3.3.0-Centos7-64-with-snappy.tar.gz

ln -s hadoop-3.3.0 hadoop

cat >> /etc/profile << EOF
export JAVA_HOME=/export/server/jdk
export CLASSPATH=$JAVA_HOME/lib/tools.jar:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib
export HADOOP_HOME=/export/server/hadoop
export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
EOF

source /etc/profile

cat >> /etc/hosts << EOF
192.168.1.60 node1
192.168.1.61 node2
192.168.1.62 node3
EOF

yum install -y ntpdate

# 添加 0 */1 * * * ntpdate ntp4.aliyun.com
crontab -e

systemctl stop firewalld.service
systemctl disable firewalld.service

二、安装

所有机器上执行

配置hadoop

• hadoop-env.sh

cat >> /export/server/hadoop/etc/hadoop/hadoop-env.sh << EOF
export JAVA_HOME=/export/server/jdk
export HDFS_NAMENODE_USER=root
export HDFS_DATANODE_USER=root
export HDFS_SECONDARYNAMENODE_USER=root
export YARN_RESOURCEMANAGER_USER=root
export YARN_NODEMANAGER_USER=root 
EOF

• core-site.xml

cat > /export/server/hadoop/etc/hadoop/core-site.xml << EOF
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
    <name>fs.defaultFS</name>
    <value>hdfs://node1:8020</value>
</property>

<!-- 设置Hadoop本地保存数据路径 -->
<property>
    <name>hadoop.tmp.dir</name>
    <value>/export/data/hadoop</value>
</property>

<!-- 设置HDFS web UI用户身份 -->
<property>
    <name>hadoop.http.staticuser.user</name>
    <value>root</value>
</property>

<!-- 整合hive 用户代理设置 -->
<property>
    <name>hadoop.proxyuser.root.hosts</name>
    <value>*</value>
</property>

<property>
    <name>hadoop.proxyuser.root.groups</name>
    <value>*</value>
</property>

<!-- 文件系统垃圾桶保存时间 -->
<property>
    <name>fs.trash.interval</name>
    <value>1440</value>
</property>
</configuration>
EOF

• hdfs-site.xml

cat > /export/server/hadoop/etc/hadoop/hdfs-site.xml << EOF
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <!-- 设置SNN进程运行机器位置信息 -->
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>node2:9868</value>
    </property>
</configuration>
EOF

• mapred-site.xml

cat > /export/server/hadoop/etc/hadoop/mapred-site.xml << EOF
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
	<!-- 设置MR程序默认运行模式： yarn集群模式 local本地模式 -->
    <property>
      <name>mapreduce.framework.name</name>
      <value>yarn</value>
    </property>
    <!-- MR程序历史服务地址 -->
    <property>
      <name>mapreduce.jobhistory.address</name>
      <value>node1:10020</value>
    </property>
    <!-- MR程序历史服务器web端地址 -->
    <property>
      <name>mapreduce.jobhistory.webapp.address</name>
      <value>node1:19888</value>
    </property>
    <property>
      <name>yarn.app.mapreduce.am.env</name>
      <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
    </property>
    <property>
      <name>mapreduce.map.env</name>
      <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
    </property>
    <property>
      <name>mapreduce.reduce.env</name>
      <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
    </property>
</configuration>
EOF

• yarn-site.xml

cat > /export/server/hadoop/etc/hadoop/yarn-site.xml << EOF
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <property>
    	<name>yarn.resourcemanager.hostname</name>
    	<value>node1</value>
    </property>
    
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    
    <!-- 是否将对容器实施物理内存限制 -->
    <property>
        <name>yarn.nodemanager.pmem-check-enabled</name>
        <value>false</value>
    </property>
    
    <!-- 是否将对容器实施虚拟内存限制。 -->
    <property>
        <name>yarn.nodemanager.vmem-check-enabled</name>
        <value>false</value>
    </property>
    
    <!-- 开启日志聚集 -->
    <property>
      <name>yarn.log-aggregation-enable</name>
      <value>true</value>
    </property>
    
    <!-- 设置yarn历史服务器地址 -->
    <property>
        <name>yarn.log.server.url</name>
        <value>http://node1:19888/jobhistory/logs</value>
    </property>
    
    <!-- 历史日志保存的时间 7天 -->
    <property>
      <name>yarn.log-aggregation.retain-seconds</name>
      <value>604800</value>
    </property>
</configuration>
EOF

cat > /export/server/hadoop/etc/hadoop/workers << EOF
node1
node2
node3
EOF

三、启动

node1上执行

hdfs namenode -format

start-all.sh

• 查看效果

• 使用9870访问HDFS webui

• 使用8088 访问yarn web-ui