在CentOS上配置HDFS(Hadoop Distributed File System)高可用性,需要遵循以下步驟:
sudo yum install java-1.8.0-openjdk-devel
wget https://archive.apache.org/dist/hadoop/common/hadoop-3.3.1/hadoop-3.3.1.tar.gz
tar -xzvf hadoop-3.3.1.tar.gz -C /usr/local/
編輯/usr/local/hadoop/etc/hadoop/hadoop-env.sh文件,設置Java路徑:
export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://mycluster</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/usr/local/hadoop/tmp</value>
</property>
</configuration>
<configuration>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/usr/local/hadoop/data/namenode</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/usr/local/hadoop/data/datanode</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>secondarynamenode:50090</value>
</property>
<property>
<name>dfs.client.failover.proxy.provider.mycluster</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<property>
<name>dfs.ha.fencing.methods</name>
<value>sshfence</value>
</property>
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/home/hadoop/.ssh/id_rsa</value>
</property>
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://journalnode1:8485;journalnode2:8485;journalnode3:8485/mycluster</value>
</property>
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/usr/local/hadoop/data/journalnode</value>
</property>
</configuration>
<configuration>
<property>
<name>yarn.resourcemanager.ha.enabled</name>
<value>true</value>
</property>
<property>
<name>yarn.resourcemanager.cluster-id</name>
<value>yarn-cluster</value>
</property>
<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm1</name>
<value>resourcemanager1</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>resourcemanager2</value>
</property>
<property>
<name>yarn.resourcemanager.zk-address</name>
<value>zookeeper1:2181,zookeeper2:2181,zookeeper3:2181</value>
</property>
</configuration>
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
在所有journalnode服務器上執行:
/usr/local/hadoop/sbin/hadoop-daemon.sh start journalnode
在其中一個NameNode服務器上執行:
/usr/local/hadoop/bin/hdfs namenode -format
在Secondary NameNode服務器上執行:
/usr/local/hadoop/sbin/hadoop-daemon.sh start secondarynamenode
在第一個NameNode服務器上執行:
/usr/local/hadoop/sbin/hadoop-daemon.sh start namenode
在第二個NameNode服務器上執行:
/usr/local/hadoop/sbin/hadoop-daemon.sh start namenode
在ResourceManager1服務器上執行:
/usr/local/hadoop/sbin/yarn-daemon.sh start resourcemanager
在ResourceManager2服務器上執行:
/usr/local/hadoop/sbin/yarn-daemon.sh start resourcemanager
在所有DataNode服務器上執行:
/usr/local/hadoop/sbin/hadoop-daemon.sh start datanode
使用hdfs dfsadmin -report命令檢查集群狀態。
通過以上步驟,你可以在CentOS上配置一個高可用的HDFS集群。