Hadoop3.2.0集群（4节点-无HA）

2021-09-03 10:59:18

1.准备环境

1.1配置dns

# cat /etc/hosts

	172.27.133.60  hadoop-01

  172.27.133.61  hadoop-02

  172.27.133.62  hadoop-03

  172.27.133.63  hadoop-04

1.2配置免密登陆

# ssh-keygen

# ssh-copy-id root@hadoop-02/03/04

1.3关闭防火墙

# cat /etc/selinux/config

	SELINUX=disabled

# systemctl stop firewalld

# systemctl disable firewalld

1.4配置Java环境,Hadoop环境

# tar -xf /data/software/jdk-8u171-linux-x64.tar.gz -C /usr/local/java

# tar -xf /data/software/hadoop-3.2.0.tar.gz -C /data/hadoop

# cat /etc/profile

  export HADOOP_HOME=/data/hadoop/hadoop-3.2.0

  export JAVA_HOME=/usr/local/java/jdk1.8.0_171

  export PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH

  export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar

  export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop

# source /etc/profile

# java -version

  java version "1.8.0_171"

  Java(TM) SE Runtime Environment (build 1.8.0_171-b11)

  Java HotSpot(TM) 64-Bit Server VM (build 25.171-b11, mixed mode)

2.配置Hadoop

2.1配置Hadoop环境脚本文件中的JAVA_HOME参数

# cd /data/hadoop/hadoop-3.2.0/etc/hadoop

# vim hadoop-env.sh 和 mapred-env.sh 和 yarn-env.sh，向脚本添加JAVA_HOME

	export JAVA_HOME=/usr/local/java/jdk1.8.0_171

# hadoop version

  Hadoop 3.2.0

  Source code repository https://github.com/apache/hadoop.git -r e97acb3bd8f3befd27418996fa5d4b50bf2e17bf

  Compiled by sunilg on 2019-01-08T06:08Z

  Compiled with protoc 2.5.0

  From source with checksum d3f0795ed0d9dc378e2c785d3668f39

  This command was run using /data/hadoop/hadoop-3.2.0/share/hadoop/common/hadoop-common-3.2.0.jar

2.2修改Hadoop配置文件

在hadoop-3.2.0/etc/hadoop目录下，修改core-site.xml、hdfs-site.xml、mapred-site.xml、yarn-site.xml、workers文件，具体参数按照实际情况修改。

2.2.1修改core-site.xml

（文件系统）

<configuration>

  <property>

      <!-- 配置hdfs地址 -->

      <name>fs.defaultFS</name>

      <value>hdfs://hadoop-01:9000</value>

  </property>

  <property>

      <!-- 保存临时文件目录，需先在/data/hadoop下创建tmp目录 -->

      <name>hadoop.tmp.dir</name>

     <value>/data/hadoop/tmp</value>

 </property>

</configuration>
# mkdir /data/hadoop/tmp
2.2.2修改hdfs-site.xml

(副本数)

<configuration>

      <property>

         <!-- 主节点地址 -->

          <name>dfs.namenode.http-address</name>

          <value>hadoop-01:50070</value>

      </property>

      <property>

          <name>dfs.secondary.http.address</name>

          <value>hadoop-02:50070</value>

      </property>

      <property>

          <name>dfs.namenode.name.dir</name>

          <value>file:/data/hadoop/dfs/name</value>

     </property>

     <property>

         <name>dfs.datanode.data.dir</name>

         <value>file:/data/hadoop/dfs/data</value>

     </property>

     <property>

        <!-- 备份数为默认值2 -->

        <name>dfs.replication</name>

        <value>2</value>

     </property>

     <property>

        <name>dfs.webhdfs.enabled</name>

        <value>true</value>

     </property>

     <property>

        <name>dfs.permissions</name>

        <value>false</value>

        <description>配置为false后，可以允许不要检查权限就生成dfs上的文件，方便倒是方便了，但是你需要防止误删除.</description>

      </property>

</configuration>
2.2.3修改mapred-site.xml

（资源调度框架）

<configuration>

      <property>

          <name>mapreduce.framework.name</name>

          <value>yarn</value>

      </property>

      <property>

          <name>mapreduce.jobhistory.address</name>

          <value>hadoop-01:10020</value>

      </property>

      <property>

         <name>mapreduce.jobhistory.webapp.address</name>

         <value>hadoop-01:19888</value>

      </property>

　　   <property>

　　 　　<name>mapreduce.application.classpath</name>

      <value>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*:$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*</value>

　　   </property>

</configuration>
2.2.4修改yarn-site.xml
<configuration>

<!-- Site specific YARN configuration properties -->

     <property>

         <name>yarn.resourcemanager.hostname</name>

         <value>hadoop-01</value>

     </property>

     <property>

         <name>yarn.nodemanager.aux-services</name>

         <value>mapreduce_shuffle</value>

     </property>

     <property>

         <name>yarn.resourcemanager.webapp.address</name>

         <value>172.27.133.60:8088</value>

         <description>配置外网只需要替换外网ip为真实ip，否则默认为 localhost:8088</description>

     </property>

     <property>

         <name>yarn.scheduler.maximum-allocation-mb</name>

         <value>2048</value>

         <description>每个节点可用内存,单位MB,默认8182MB</description>

     </property>

     <property>

         <name>yarn.nodemanager.vmem-check-enabled</name>

         <value>false</value>

         <description>忽略虚拟内存的检查，如果你是安装在虚拟机上，这个配置很有用，配上去之后后续操作不容易出问题。</description>

     </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_MAPRED_HOME</value>

     </property>

</configuration>
2.2.5修改workers

添加从节点地址，IP或者hostname

hadoop-02

hadoop-03

hadoop-04

2.3将配置好的文件夹拷贝到其他从节点

# scp -r /data/hadoop root@hadoop-02:/data/hadoop

# scp -r /data/hadoop root@hadoop-03:/data/hadoop

# scp -r /data/hadoop root@hadoop-04:/data/hadoop

2.4配置启动脚本Yarn权限

2.4.1添加hdfs权限
在第二行空白位置添加hdfs权限

# cat sbin/start-dfs.sh

# cat sbin/stop-dfs.sh

  #!/usr/bin/env bash

  HDFS_DATANODE_USER=root

  HDFS_DATANODE_SECURE_USER=hdfs

  HDFS_NAMENODE_USER=root

  HDFS_SECONDARYNAMENODE_USER=root

  ···
2.4.2添加Yarn权限
在第二行空白位置添加Yarn权限

# cat sbin/start-yarn.sh

# cat sbin/stop-yarn.sh

  #!/usr/bin/env bash

  YARN_RESOURCEMANAGER_USER=root

  HDFS_DATANODE_SECURE_USER=yarn

  YARN_NODEMANAGER_USER=root

  ···

如果不添加权限，在启动时候会报错

ERROR: Attempting to launch hdfs namenode as root

ERROR: but there is no HDFS_NAMENODE_USER defined. Aborting launch.

Starting datanodes

ERROR: Attempting to launch hdfs datanode as root

ERROR: but there is no HDFS_DATANODE_USER defined. Aborting launch.

Starting secondary namenodes [localhost.localdomain]

ERROR: Attempting to launch hdfs secondarynamenode as root

ERROR: but there is no HDFS_SECONDARYNAMENODE_USER defined. Aborting launch.

3.初始化并启动

3.1格式化hdfs

# bin/hdfs namenode -format

3.2启动

3.2.1一步启动
# sbin/start-all.sh
3.2.2分布启动
# sbin/start-dfs.sh

# sbin/start-yarn.sh

4.验证

4.1列出进程

  1. 主节点hadoop-01

    # jps
    
32069 SecondaryNameNode
    
2405 NameNode
    
2965 ResourceManager
    
3645 Jps

  2. 从节点hadoop-02

    # jps
    
25616 NodeManager
    
25377 DataNode
    
25508 SecondaryNameNode
    
25945 Jps

  3. 从节点hadoop-03

    # jps
    
14946 NodeManager
    
15207 Jps
    
14809 DataNode

  4. 从节点hadoop-04

    # jps
    
14433 Jps
    
14034 DataNode
    
14171 NodeManager4

4.2访问页面

http://hadoop-01:8088打开ResourceManager页面

Hadoop3.2.0集群（4节点-无HA）

Hadoop3.2.0集群（4节点-无HA）

http://hadoop-01:50070打开Hadoop Namenode页面

Hadoop3.2.0集群（4节点-无HA）

Hadoop3.2.0集群（4节点-无HA）

上一篇：CocoaPods报错：The dependency `AFNetworking ` is not used in any concrete target


下一篇：如何决定Web应用的线程池大小