在Linux下配置HDFS(Hadoop Distributed File System)的高可用性,通常涉及以下几个关键步骤:
首先,确保你已经安装了Hadoop,并且所有节点都已经正确配置。
core-site.xml
hdfs-site.xml
yarn-site.xml
mapred-site.xml
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>
<property>
<name>ha.zookeeper.client.port</name>
<value>2181</value>
</property>
</configuration>
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.namenode.shared.edits.dir</name>
<value>qjournal://journalnode1:8485;journalnode2:8485;journalnode3:8485/mycluster</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>/path/to/private/key</value>
</property>
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/path/to/journalnode/data</value>
</property>
</configuration>
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>
mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
在所有JournalNode节点上启动JournalNode服务:
$HADOOP_HOME/sbin/hadoop-daemon.sh start journalnode
在其中一个NameNode节点上格式化NameNode:
$HADOOP_HOME/bin/hdfs namenode -format
在所有NameNode节点上同步元数据:
$HADOOP_HOME/bin/hdfs namenode -bootstrapStandby
在所有NameNode节点上启动NameNode:
$HADOOP_HOME/sbin/hadoop-daemon.sh start namenode
在所有ResourceManager节点上启动ResourceManager:
$YARN_HOME/sbin/yarn-daemon.sh start resourcemanager
通过访问ResourceManager Web界面或使用命令行工具验证集群是否正常运行。
通过以上步骤,你可以配置一个高可用的HDFS集群。