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介绍
本文继续介绍hadoop部署,来说如何搭建HA+Federation,即高可用加负载均衡。
正文
1 环境
10台机器:
四台namenode(每两台做一个集群,每个集群中作HA),三台datanode,三台zookeeper(也可以省去这三台,把zookeeper daemon部署在其他机器上)。实际上还需要3台journalnode,但因为它比较轻量级,所以这里就把它部署在datanode上了。
2 配置文件修改
2.1 core-site.xml
修改集群1中的两台namenode的core-site.xml
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/hadoop-2.6.0/tmp</value>
</property>
<property>
<name>fs.defaultFS</name>
<value>hdfs://cluster_haohzhang</value>
</property>
<property>
<name>ha.zookeeper.quorum</name>
<value>10.9.214.167:2181,10.9.214.18:2181,10.9.214.211:2181</value>
</property>
修改集群2中的两台namenode的core-site.xml
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/hadoop-2.6.0/tmp</value>
</property>
<property>
<name>fs.defaultFS</name>
<value>hdfs://cluster2</value>
</property>
<property>
<name>ha.zookeeper.quorum</name>
<value>10.9.214.167:2181,10.9.214.18:2181,10.9.214.211:2181</value>
</property>
2.2 hdfs-site.xml
修改集群1中的两台namenode的hdfs-site.xml
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/opt/hadoop-2.6.0/hdfs/name</value>
</property>
<property>
<name>dfs.dataname.data.dir</name>
<value>file:/opt/hadoop-2.6.0/hdfs/data</value>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.nameservices</name>
<value>cluster1,cluster2</value>
</property>
<property>
<name>dfs.ha.namenodes.cluster1</name>
<value>nn1,nn2</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster1.nn1</name>
<value>10.9.214.151:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster1.nn2</name>
<value>10.9.214.15:8020</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster1.nn1</name>
<value>10.9.214.151:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster1.nn2</name>
<value>10.9.214.15:50070</value>
</property>
<property>
<name>dfs.ha.namenodes.cluster2</name>
<value>nn3,nn4</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster2.nn3</name>
<value>10.9.214.105:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster2.nn4</name>
<value>10.9.214.113:8020</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster2.nn3</name>
<value>10.9.214.105:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster2.nn4</name>
<value>10.9.214.113:50070</value>
</property>
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://10.9.214.158:8485;10.9.214.160:8485;10.9.214.149:8485/cluster1</value>
</property>
<property>
<name>dfs.client.failover.proxy.provider.cluster1</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.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.journalnode.edits.dir</name>
<value>/opt/hadoop-2.6.0/journalnode</value>
</property>
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
修改集群2中的两台namenode的hdfs-site.xml
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/opt/hadoop-2.6.0/hdfs/name</value>
</property>
<property>
<name>dfs.dataname.data.dir</name>
<value>file:/opt/hadoop-2.6.0/hdfs/data</value>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.nameservices</name>
<value>cluster1,cluster2</value>
</property>
<property>
<name>dfs.ha.namenodes.cluster1</name>
<value>nn1,nn2</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster1.nn1</name>
<value>10.9.214.151:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster1.nn2</name>
<value>10.9.214.15:8020</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster1.nn1</name>
<value>10.9.214.151:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster1.nn2</name>
<value>10.9.214.15:50070</value>
</property>
<property>
<name>dfs.ha.namenodes.cluster2</name>
<value>nn3,nn4</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster2.nn3</name>
<value>10.9.214.105:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster2.nn4</name>
<value>10.9.214.113:8020</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster2.nn3</name>
<value>10.9.214.105:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster2.nn4</name>
<value>10.9.214.113:50070</value>
</property>
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://10.9.214.158:8485;10.9.214.160:8485;10.9.214.149:8485/cluster2</value>
</property>
<property>
<name>dfs.client.failover.proxy.provider.cluster2</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.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.journalnode.edits.dir</name>
<value>/opt/hadoop-2.6.0/journalnode</value>
</property>
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
2.3 mapred-site.xml
修改4台namenode上的mapred-site.xml
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
2.4 yarn-site.xml
修改集群1的yarn-site.xml
<property>
<name>yarn.resourcemanager.address</name>
<value>10.9.214.151:18040</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>10.9.214.151:18030</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>10.9.214.151:18088</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>10.9.214.151:18025</value>
</property>
<property>
<name>yarn.resourcemanager.admin.address</name>
<value>10.9.214.151:18141</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
修改集群2的yarn-site.xml
<property>
<name>yarn.resourcemanager.address</name>
<value>10.9.214.105:18040</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>10.9.214.105:18030</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>10.9.214.105:18088</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>10.9.214.105:18025</value>
</property>
<property>
<name>yarn.resourcemanager.admin.address</name>
<value>10.9.214.105:18141</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
3 操作细节
3.1 启动zookeeper daemons
在三台zookeeper机器上执行zkServer.sh start
3.2 格式化zookeeper
在集群1,集群2的各一个namenode上执行hdfs zkfc –formatZK
3.3 启动journalnode
在三台journalnode机器上执行hadoop-daemon.sh start journalnode
3.4 格式化namenode
在集群1中一台namenode上执行hdfs namenode -format -clusterId cluster1
在集群2中一台namenode上执行hdfs namenode -format -clusterId cluster2
3.5 启动namenode
在集群1中一台namenode上执行hadoop-daemon.sh start namenode
在集群2中一台namenode上执行hadoop-daemon.sh start namenode
验证
在浏览器中输入10.9.214.151:50070 可以看到hdfs状态
3.6 做namenode 数据同步到namenode standby
在集群1中另一台namenode上执行hdfs namenode –bootstrapStandby
在集群2中另一台namenode上执行hdfs namenode –bootstrapStandby
3.7 启动namenode standby上的namenode
hadoop-daemon.sh start namenode
3.8 启动datanode
在任意一台namenode上执行hadoop-daemons.sh start datanode
3.9 启动zkfc
在每台namenode上执行hadoop-daemon.sh --script hdfs start zkfc
验证
在任意一台namenode上执行以下命令分别查看各个节点状态
hdfs haadmin -ns cluster1 -getServiceState nn1
hdfs haadmin -ns cluster1 -getServiceState nn2
hdfs haadmin -ns cluster2 -getServiceState nn3
hdfs haadmin -ns cluster2 -getServiceState nn4
切换active和standby节点
hdfs haadmin -ns cluster1 -failover nn1 nn2
3.10 启动yarn
在集群1,集群2的各自namenode上启动start-yarn.sh
验证
在浏览器中输入http://10.9.214.151:18088 可看到application界面
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