在CentOS系统中配置HDFS(Hadoop Distributed File System)的数据备份,通常涉及以下几个步骤:
HDFS HA通过使用多个NameNode来实现高可用性,其中一个NameNode作为Active NameNode,另一个作为Standby NameNode。
安装Hadoop:
sudo yum install hadoop
配置core-site.xml:
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://mycluster</value>
</property>
<property>
<name>ha.zookeeper.quorum</name>
<value>zk1:2181,zk2:2181,zk3:2181</value>
</property>
</configuration>
配置hdfs-site.xml:
<configuration>
<property>
<name>dfs.nameservices</name>
<value>mycluster</value>
</property>
<property>
<name>dfs.ha.namenodes.mycluster</name>
<value>nn1,nn2</value>
</property>
<property>
<name>dfs.namenode.rpc-address.mycluster.nn1</name>
<value>namenode1:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.mycluster.nn2</name>
<value>namenode2:8020</value>
</property>
<property>
<name>dfs.namenode.http-address.mycluster.nn1</name>
<value>namenode1:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.mycluster.nn2</name>
<value>namenode2:50070</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>
</configuration>
配置yarn-site.xml:
<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>zk1:2181,zk2:2181,zk3:2181</value>
</property>
</configuration>
配置mapred-site.xml:
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
启动JournalNode:
hdfs --daemon start journalnode
初始化HA状态:
hdfs namenode -initializeSharedEdits
启动NameNode:
hdfs --daemon start namenode
同步NameNode:
hdfs namenode -bootstrapStandby
启动ResourceManager:
yarn --daemon start resourcemanager
HDFS本身支持数据块的复制,可以通过配置dfs.replication参数来设置数据块的副本数。
编辑hdfs-site.xml:
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
重启HDFS:
systemctl restart hadoop-hdfs-namenode
systemctl restart hadoop-hdfs-datanode
systemctl restart hadoop-yarn-resourcemanager
systemctl restart hadoop-yarn-nodemanager
除了HDFS自带的复制机制,还可以使用第三方备份工具如rsync、Bacula、Amanda等来备份HDFS数据。
rsync备份HDFS数据rsync -avz --progress /path/to/hdfs/data /backup/location
设置定期备份任务,并监控备份过程和备份数据的完整性。
cron设置定期备份任务crontab -e
添加以下行:
0 0 * * * /path/to/backup_script.sh
可以使用日志文件和监控工具来监控备份过程和备份数据的完整性。
通过以上步骤,可以在CentOS系统中配置HDFS的数据备份,确保数据的高可用性和安全性。