hadoop高可用部署(zookeeper + hadoop)部署
主要软件版本
software | version |
---|---|
java | jdk-8u171-linux-x64.rpm |
hadoop | hadoop-2.7.6.tar.gz |
zookeeper | zookeeper-3.4.12.tar.gz |
集群规划
hostname | os | ip | software | deamon |
---|---|---|---|---|
master | centos7 | 192.168.3.100 | jdk, hadoop | NameNode, ResourceManager, DFSZKFailoverController(zkfc) |
master1 | centos7 | 192.168.3.101 | jdk, hadoop | NameNode, ResourceManager, DFSZKFailoverController(zkfc) |
slave1 | centos7 | 192.168.3.102 | jdk, hadoop, zookeeper | DateNode, NodeManager, JournalNode, QuorumPeerMain |
slave2 | centos7 | 192.168.3.103 | jdk, hadoop, zookeeper | DateNode, NodeManager, JournalNode, QuorumPeerMain |
slave3 | centos7 | 192.168.3.104 | jdk, hadoop, zookeeper | DateNode, NodeManager, JournalNode, QuorumPeerMain |
基础环境配置
基础环境配置参考基础环境配置章节
zookeeper安装
zookeeper安装参考zookeeper分布式安装
hadoop集群配置
1. 修改core-site.xml
<configuration>
<!-- 指定hdfs的nameservice为ns1 -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://master</value>
</property>
<!-- 指定hadoop临时目录 -->
<property>
<name>hadoop.tmp.dir</name>
<value>/usr/local/hadoop/tmp</value>
<description>Abase for other temporary directories.</description>
</property>
<!-- 指定zookeeper地址 -->
<property>
<name>ha.zookeeper.quorum</name>
<value>slave1:2181,slave1:2181,slave1:2181</value>
</property>
</configuration>
此处 /usr/local/hadoop/tmp如果写成file:/usr/local/hadoop/tmp会报java.lang.IllegalArgumentException: URI has an authority component错误
2. 修改hdfs-site.xml
<configuration>
<!--指定hdfs的nameservice为master,需要和core-site.xml中的保持一致 -->
<property>
<name>dfs.nameservices</name>
<value>master</value>
</property>
<!-- ns1下面有两个NameNode,分别是nn1,nn2 -->
<property>
<name>dfs.ha.namenodes.master</name>
<value>nn1,nn2</value>
</property>
<!-- nn1的RPC通信地址 -->
<property>
<name>dfs.namenode.rpc-address.master.nn1</name>
<value>master:9000</value>
</property>
<!-- nn1的http通信地址 -->
<property>
<name>dfs.namenode.http-address.master.nn1</name>
<value>master:50070</value>
</property>
<!-- nn2的RPC通信地址 -->
<property>
<name>dfs.namenode.rpc-address.master.nn2</name>
<value>master1:9000</value>
</property>
<!-- nn2的http通信地址 -->
<property>
<name>dfs.namenode.http-address.ns1.nn2</name>
<value>master1:50070</value>
</property>
<!-- 指定NameNode的元数据在JournalNode上的存放位置 -->
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://slave1:8485;slave2:8485;slave3:8485/ns1</value>
</property>
<!-- 指定JournalNode在本地磁盘存放数据的位置 -->
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/usr/local/hadoop/journaldata</value>
</property>
<!-- 开启NameNode失败自动切换 -->
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
<!-- 配置失败自动切换实现方式 -->
<property>
<name>dfs.client.failover.proxy.provider.master</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<!-- 配置隔离机制方法,多个机制用换行分割,即每个机制暂用一行-->
<property>
<name>dfs.ha.fencing.methods</name>
<value>
sshfence
shell(/bin/true)
</value>
</property>
<!-- 使用sshfence隔离机制时需要ssh免登陆 -->
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/root/.ssh/id_rsa</value>
</property>
<!-- 配置sshfence隔离机制超时时间 -->
<property>
<name>dfs.ha.fencing.ssh.connect-timeout</name>
<value>30000</value>
</property>
</configuration>
3. 修改mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
4. 修改yarn-site.xml
<configuration>
<!-- 开启RM高可用 -->
<property>
<name>yarn.resourcemanager.ha.enabled</name>
<value>true</value>
</property>
<!-- 指定RM的cluster id -->
<property>
<name>yarn.resourcemanager.cluster-id</name>
<value>yrc</value>
</property>
<!-- 指定RM的名字 -->
<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property>
<!-- 分别指定RM的地址 -->
<property>
<name>yarn.resourcemanager.hostname.rm1</name>
<value>master</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>master1</value>
</property>
<!-- 指定zk集群地址 -->
<property>
<name>yarn.resourcemanager.zk-address</name>
<value>slave1:2181,slave1:2181,slave1:2181</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration>
4. 修改slaves文件
slave1
slave2
slave3
5. 修改hadoop-env.sh配置JAVA_HOME
export JAVA_HOME=/usr/java/default
复制文件至其他slave
scp -r /usr/local/hadoop slave1:/usr/local/
scp -r /usr/local/hadoop slave2:/usr/local/
scp -r /usr/local/hadoop slave3:/usr/local/
scp -r /usr/local/hadoop master1:/usr/local/
启动zookeeper集群
在slave1, slave2, slave3上分别启动zookeeper
zkServer.sh start # 启动
zkServer.sh status # 查看状态
zkServer.sh stop # 停止
启动journalnode
在slave1, slave2, slave3上分别启动journalnode
hadoop-daemon.sh start journalnode
jps # 查看JournalNode进程
在master节点格式化HDFS
hdfs namenode -format
格式化后会在根据core-site.xml中的hadoop.tmp.dir配置生成个文件,/usr/local/hadoop/tmp拷贝到master1的/usr/local/hadoop
scp -r /usr/local/hadoop/tmp master1:/usr/local/hadoop
在master节点格式化ZKFC
hdfs zkfc -formatZK
在master节点启动HDFS
start-dfs.sh
启动YARN
start-yarn.sh
web Interface
NameNode http://192.168.3.100:50070 Default HTTP port is 50070
ResourceManager http://192.168.3.100:8088 Default HTTP port is 8088