在Linux上配置Hadoop网络涉及多个步骤,以下是详细的配置过程:
ip address show
hostnamectl set-hostname master
/etc/sysconfig/network-scripts/ifcfg-eth0
文件。TYPE=Ethernet
BOOTPROTO=static
IPADDR=192.168.1.100
NETMASK=255.255.255.0
GATEWAY=192.168.1.1
DNS1=8.8.8.8
DNS2=8.8.4.4
ONBOOT=yes
service network restart
ssh-keygen -t rsa
/.ssh/authorized_keys
文件中:ssh-copy-id user@node2
ssh-copy-id user@node3
/etc/hosts
文件/etc/hosts
文件,将IP地址和主机名映射添加到文件中:192.168.1.100 master
192.168.1.101 slave1
192.168.1.102 slave2
192.168.1.103 slave3
core-site.xml
文件:<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://localhost:9000</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/hadoopData/temp</value>
</property>
</configuration>
hdfs-site.xml
文件:<configuration>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/path/to/namenode/dir</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/path/to/datanode/data</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>your-secondary-namenode-hostname:50090</value>
</property>
</configuration>
mapred-site.xml
文件:<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
yarn-site.xml
文件:<configuration>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>ResourceManager</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
</configuration>
/etc/profile
或 ~/.bashrc
文件,添加Hadoop的安装路径和环境变量。export JAVA_HOME=/usr/java/latest
export HADOOP_HOME=/opt/hadoop
export PATH=$PATH:$HADOOP_HOME/bin
source /etc/profile
hdfs namenode -format
start-dfs.sh
start-yarn.sh
ping
命令检查节点间的连通性。ssh
命令连接到集群中的其他节点,验证服务状态。通过以上步骤,您可以在Linux环境下成功配置Hadoop网络,确保集群中的各个节点能够正常通信和协同工作。