HA模式下的Hadoop2.7.4+ZooKeeper3.4.10搭建
一、概述
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本次实验采用VMware虚拟机，linux版本为CentOS7；
因为实验所需的5台机器配置大多相同，所以采用配置其中一台，然后使用克隆功能复制另外4份再做具体修改；
其中有些步骤以前配置过，此处就说明一下不再做具体配置，具体配置可翻阅以前的博文。
二、实验环境
1.关闭selinux和firewall
2.hadoop-2.7.4.tar.gz；zookeeper-3.4.10.tar.gz；jdk-8u131-linux-x64.tar.gz
三、主机规划
| IP | Host | 进程 | |
| 192.168.100.11 | hadoop1 | NameNode ResourceManager DFSZKFailoverController | |
| 192.168.100.12 | hadoop2 | NameNode ResourceManager DFSZKFailoverController | |
| 192.168.100.13 | hadoop3 | DataNode NodeManager JournalNode QuorumPeerMain | |
| 192.168.100.14 | hadoop4 | DataNode NodeManager JournalNode QuorumPeerMain | |
| 192.168.100.15 | hadoop5 | DataNode NodeManager JournalNode QuorumPeerMain | |
四、环境准备
1.设置IP地址：192.168.100.11
2.设置主机名：hadoop1
3.设置IP和主机名的映射
[root@hadoop1 ~]# cat /etc/hosts 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 ::1 localhost localhost.localdomain localhost6 localhost6.localdomain6 192.168.100.11 hadoop1 192.168.100.12 hadoop2 192.168.100.13 hadoop3 192.168.100.14 hadoop4 192.168.100.15 hadoop5
4.配置ssh分发脚本
5.解压jdk
[root@hadoop1 ~]# tar -zxf jdk-8u131-linux-x64.tar.gz [root@hadoop1 ~]# cp -r jdk1.8.0_131/ /usr/local/jdk
6.解压hadoop
[root@hadoop1 ~]# tar -zxf hadoop-2.7.4.tar.gz [root@hadoop1 ~]# cp -r hadoop-2.7.4 /usr/local/hadoop
7.解压zookeeper
[root@hadoop1 ~]# tar -zxf zookeeper-3.4.10.tar.gz [root@hadoop1 ~]# cp -r zookeeper-3.4.10 /usr/local/hadoop/zookeeper [root@hadoop1 ~]# cd /usr/local/hadoop/zookeeper/conf/ [root@hadoop1 conf]# cp zoo_sample.cfg zoo.cfg [root@hadoop1 conf]# vim zoo.cfg #修改dataDir dataDir=/usr/local/hadoop/zookeeper/data #添加下面三行 server.1=hadoop3:2888:3888 server.2=hadoop4:2888:3888 server.3=hadoop5:2888:3888 [root@hadoop1 conf]# cd .. [root@hadoop1 zookeeper]# mkdir data #此处还有操作，但是hadoop1上不部署zookeeper模块所以后面再修改
8.配置环境变量
[root@hadoop1 ~]# tail -4 /etc/profile export JAVA_HOME=/usr/local/jdk export HADOOP_HOME=/usr/local/hadoop export ZOOKEEPER_HOME=/usr/local/hadoop/zookeeper export PATH=.:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$JAVA_HOME/bin:$ZOOKEEPER_HOME/bin:$PATH [root@hadoop1 ~]# source /etc/profile
9.测试环境变量可用
[root@hadoop1 ~]# java -version java version "1.8.0_131" Java(TM) SE Runtime Environment (build 1.8.0_131-b11) Java HotSpot(TM) 64-Bit Server VM (build 25.131-b11, mixed mode) [root@hadoop1 ~]# hadoop version Hadoop 2.7.4 Subversion Unknown -r Unknown Compiled by root on 2017-08-28T09:30Z Compiled with protoc 2.5.0 From source with checksum 50b0468318b4ce9bd24dc467b7ce1148 This command was run using /usr/local/hadoop/share/hadoop/common/hadoop-common-2.7.4.jar
五、配置hadoop
1.core-site.xml
fs.defaultFS hdfs://master/ hadoop.tmp.dir /usr/local/hadoop/tmp ha.zookeeper.quorum hadoop3:2181,hadoop4:2181,hadoop5:2181
2.hdfs-site.xml
dfs.namenode.name.dir /usr/local/hadoop/dfs/name dfs.datanode.data.dir /usr/local/hadoop/dfs/data dfs.replication 2 dfs.nameservices master dfs.ha.namenodes.master nn1,nn2 dfs.namenode.rpc-address.master.nn1 hadoop1:9000 dfs.namenode.rpc-address.master.nn2 hadoop2:9000 dfs.namenode.http-address.master.nn1 hadoop1:50070 dfs.namenode.http-address.master.nn2 hadoop2:50070 dfs.journalnode.http-address 0.0.0.0:8480 dfs.journalnode.rpc-address 0.0.0.0:8485 dfs.namenode.shared.edits.dir qjournal://hadoop3:8485;hadoop4:8485;hadoop5:8485/master dfs.journalnode.edits.dir /usr/local/hadoop/dfs/journal dfs.client.failover.proxy.provider.master org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider dfs.ha.fencing.methods sshfence shell(/bin/true) dfs.ha.fencing.ssh.private-key-files /root/.ssh/id_rsa dfs.ha.fencing.ssh.connect-timeout 30000 dfs.ha.automatic-failover.enabled true ha.zookeeper.quorum hadoop3:2181,hadoop4:2181,hadoop5:2181 ha.zookeeper.session-timeout.ms 2000
3.yarn-site.xml
yarn.nodemanager.aux-services mapreduce_shuffle yarn.resourcemanager.connect.retry-interval.ms 2000 yarn.resourcemanager.ha.enabled true yarn.resourcemanager.cluster-id yrc yarn.resourcemanager.ha.rm-ids rm1,rm2 yarn.resourcemanager.hostname.rm1 hadoop1 yarn.resourcemanager.hostname.rm2 hadoop2 yarn.resourcemanager.ha.automatic-failover.enabled true yarn.resourcemanager.recovery.enabled true yarn.resourcemanager.store.class org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore yarn.resourcemanager.zk-address hadoop3:2181,hadoop4:2181,hadoop5:2181 yarn.resourcemanager.scheduler.address.rm1 hadoop1:8030 yarn.resourcemanager.scheduler.address.rm2 hadoop2:8030 yarn.resourcemanager.resource-tracker.address.rm1 hadoop1:8031 yarn.resourcemanager.resource-tracker.address.rm2 hadoop2:8031 yarn.resourcemanager.address.rm1 hadoop1:8032 yarn.resourcemanager.address.rm2 hadoop2:8032 yarn.resourcemanager.admin.address.rm1 hadoop1:8033 yarn.resourcemanager.admin.address.rm2 hadoop2:8033 yarn.resourcemanager.webapp.address.rm1 hadoop1:8088 yarn.resourcemanager.webapp.address.rm2 hadoop2:8088
4.mapred-site.xml
mapreduce.framework.name yarn mapreduce.jobhistory.address hadoop1:10020 mapreduce.jobhistory.webapp.address hadoop1:19888
5.slaves
[root@hadoop1 hadoop]# cat slaves hadoop3 hadoop4 hadoop5
6.hadoop-env.sh
export JAVA_HOME=/usr/local/jdk #在后面添加
六、克隆虚拟机
1.使用hadoop1为模板克隆4台虚拟机，并将网卡的MAC地址重新生成
2.修改主机名为hadoop2-hadoop5
3.修改IP地址
4.配置所有机器之间的ssh免密登陆（ssh公钥分发）
七、配置zookeeper
[root@hadoop3 ~]# echo 1 > /usr/local/hadoop/zookeeper/data/myid #在hadoop3上 [root@hadoop4 ~]# echo 2 > /usr/local/hadoop/zookeeper/data/myid #在hadoop4上 [root@hadoop5 ~]# echo 3 > /usr/local/hadoop/zookeeper/data/myid #在hadoop5上
八、启动集群
1.在hadoop3-5上启动zookeeper
[root@hadoop3 ~]# zkServer.sh start ZooKeeper JMX enabled by default Using config: /usr/local/hadoop/zookeeper/bin/../conf/zoo.cfg Starting zookeeper ... STARTED [root@hadoop3 ~]# zkServer.sh status ZooKeeper JMX enabled by default Using config: /usr/local/hadoop/zookeeper/bin/../conf/zoo.cfg Mode: follower [root@hadoop3 ~]# jps 2184 QuorumPeerMain 2237 Jps #hadoop4和hadoop5相同操作
2.在hadoop1上格式化 ZooKeeper 集群
[root@hadoop1 ~]# hdfs zkfc -formatZK
3.在hadoop3-5上启动journalnode
[root@hadoop3 ~]# hadoop-daemon.sh start journalnode starting journalnode, logging to /usr/local/hadoop/logs/hadoop-root-journalnode-hadoop3.out [root@hadoop3 ~]# jps 2244 JournalNode 2293 Jps 2188 QuorumPeerMain
4.在hadoop1上格式化namenode
[root@hadoop1 ~]# hdfs namenode -format ... 17/08/29 22:53:30 INFO util.ExitUtil: Exiting with status 0 17/08/29 22:53:30 INFO namenode.NameNode: SHUTDOWN_MSG: /************************************************************ SHUTDOWN_MSG: Shutting down NameNode at hadoop1/192.168.100.11 ************************************************************/
5.在hadoop1上启动刚格式化的namenode
[root@hadoop1 ~]# hadoop-daemon.sh start namenode starting namenode, logging to /usr/local/hadoop/logs/hadoop-root-namenode-hadoop1.out [root@hadoop1 ~]# jps 2422 Jps 2349 NameNode
6.在hadoop2上同步nn1（hadoop1）数据到nn2（hadoop2）
[root@hadoop2 ~]# hdfs namenode -bootstrapStandby ... 17/08/29 22:55:45 INFO namenode.TransferFsImage: Image Transfer timeout configured to 60000 milliseconds 17/08/29 22:55:45 INFO namenode.TransferFsImage: Transfer took 0.00s at 0.00 KB/s 17/08/29 22:55:45 INFO namenode.TransferFsImage: Downloaded file fsp_w_picpath.ckpt_0000000000000000000 size 321 bytes. 17/08/29 22:55:45 INFO util.ExitUtil: Exiting with status 0 17/08/29 22:55:45 INFO namenode.NameNode: SHUTDOWN_MSG: /************************************************************ SHUTDOWN_MSG: Shutting down NameNode at hadoop2/192.168.100.12 ************************************************************/
7.启动hadoop2上的namenode
[root@hadoop2 ~]# hadoop-daemon.sh start namenode
8.启动集群中的所有服务
[root@hadoop1 ~]# start-all.sh
9.在hadoop2上启动yarn
[root@hadoop2 ~]# yarn-daemon.sh start resourcemanager
10.开启historyserver
[root@hadoop1 ~]# mr-jobhistory-daemon.sh start historyserver starting historyserver, logging to /usr/local/hadoop/logs/mapred-root-historyserver-hadoop1.out [root@hadoop1 ~]# jps 3026 DFSZKFailoverController 3110 ResourceManager 3894 JobHistoryServer 3927 Jps 2446 NameNode
11.查看进程
[root@hadoop3 ~]# jps 2480 DataNode 2722 Jps 2219 JournalNode 2174 QuorumPeerMain 2606 NodeManager [root@hadoop4 ~]# jps 2608 NodeManager 2178 QuorumPeerMain 2482 DataNode 2724 Jps 2229 JournalNode [root@hadoop5 ~]# jps 2178 QuorumPeerMain 2601 NodeManager 2475 DataNode 2717 Jps 2223 JournalNode
九、测试
1.连接
2.kill hadoop2上的namenode
[root@hadoop2 ~]# jps 2742 NameNode 3016 DFSZKFailoverController 4024 JobHistoryServer 4057 Jps 3133 ResourceManager [root@hadoop2 ~]# kill -9 2742 [root@hadoop2 ~]# jps 3016 DFSZKFailoverController 3133 ResourceManager 4205 Jps
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