Hadoop的HA工作机制示意图

hadoop 接口实现 hadoop的ha如何实现_hadoop 接口实现



下面我们开始搭建这一套高可用集群环境

hadoop2.0已经发布了稳定版本了,增加了很多特性,比如HDFS HA、YARN等。最新的hadoop-2.6.4又增加了YARN HA

注意:apache提供的hadoop-2.6.4的安装包是在32位操作系统编译的,因为hadoop依赖一些C++的本地库,
所以如果在64位的操作上安装hadoop-2.6.4就需要重新在64操作系统上重新编译

前期准备

1.修改Linux主机名
2.修改IP
3.修改主机名和IP的映射关系 /etc/hosts
    ######注意######如果你们公司是租用的服务器或是使用的云主机(如华为用主机、阿里云主机等)
    /etc/hosts里面要配置的是内网IP地址和主机名的映射关系    
4.关闭防火墙
5.ssh免登陆
6.安装JDK,配置环境变量等

集群规划:

主机名                  IP               安装的软件                                                              运行的进程
hdp-01    192.168.150.11    jdk、hadoop、zk      NodeManager、DataNode、NameNode、QuorumPeerMain、DFSZKFailoverController
hdp-02    192.168.150.12    jdk、hadoop、zk      NodeManager、DataNode、NameNode、QuorumPeerMain、DFSZKFailoverController
hdp-03    192.168.150.13    jdk、hadoop、zk      NodeManager、DataNode、ResourceManager、QuorumPeerMain
hdp-04    192.168.150.14    jdk、hadoop             NodeManager、DataNode、ResourceManager
hdp-05    192.168.150.15    jdk、hadoop             NodeManager、DataNode、JournalNode
hdp-06    192.168.150.16    jdk、hadoop             NodeManager、DataNode、JournalNode
hdp-07    192.168.150.17    jdk、hadoop             NodeManager、DataNode、JournalNode

说明:

1.在hadoop2.0中通常由两个NameNode组成,一个处于active状态,另一个处于standby状态。Active NameNode对外提供服务,而Standby NameNode则不对外提供服务,仅同步active namenode的状态,以便能够在它失败时快速进行切换。
hadoop2.0官方提供了两种HDFS HA的解决方案,一种是NFS,另一种是QJM。这里我们使用简单的QJM。在该方案中,主备NameNode之间通过一组JournalNode同步元数据信息,一条数据只要成功写入多数JournalNode即认为写入成功。通常配置奇数个JournalNode
这里还配置了一个zookeeper集群,用于ZKFC(DFSZKFailoverController)故障转移,当Active NameNode挂掉了,会自动切换Standby NameNode为standby状态
2.hadoop-2.2.0中依然存在一个问题,就是ResourceManager只有一个,存在单点故障,hadoop-2.6.4解决了这个问题,有两个ResourceManager,一个是Active,一个是Standby,状态由zookeeper进行协调

安装步骤

1.安装配置zooekeeper集群(在hdp-01、hdp-02、hdp-03上)

1.1解压
tar -zxvf zookeeper-3.4.5.tar.gz -C /home/hadoop/app/
1.2修改配置
cd /home/hadoop/app/zookeeper-3.4.5/conf/
cp zoo_sample.cfg zoo.cfg
vim zoo.cfg
修改:dataDir=/home/hadoop/app/zookeeper-3.4.5/tmp
在最后添加:
server.1=hdp-01:2888:3888
server.2=hdp-02:2888:3888
server.3=hdp-03:2888:3888
保存退出
然后创建一个tmp文件夹
mkdir /home/hadoop/app/zookeeper-3.4.5/tmp
echo 1 > /home/hadoop/app/zookeeper-3.4.5/tmp/myid
1.3将配置好的zookeeper拷贝到其他节点(首先分别在hdp-02、hdp-03根目录下创建一个hadoop目录:mkdir /hadoop)
scp -r /home/hadoop/app/zookeeper-3.4.5/ hdp-02:/home/hadoop/app/
scp -r /home/hadoop/app/zookeeper-3.4.5/ hdp-03:/home/hadoop/app/
            
注意:修改hdp-02、hdp-03对应/hadoop/zookeeper-3.4.5/tmp/myid内容
hdp-02:
echo 2 > /home/hadoop/app/zookeeper-3.4.5/tmp/myid
hdp-03:
echo 3 > /home/hadoop/app/zookeeper-3.4.5/tmp/myid

2.安装配置hadoop集群(在hdp-01上操作)

2.1解压
 tar -zxvf hadoop-2.6.4.tar.gz -C /home/hadoop/app/
2.2配置HDFS(hadoop2.0所有的配置文件都在$HADOOP_HOME/etc/hadoop目录下)

#将hadoop添加到环境变量中
 vim /etc/profile
 export JAVA_HOME=/usr/java/jdk1.7.0_55
 export HADOOP_HOME=/hadoop/hadoop-2.6.4
 export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin
             
 #hadoop2.0的配置文件全部在$HADOOP_HOME/etc/hadoop下
 cd /home/hadoop/app/hadoop-2.6.4/etc/hadoop

            
2.2.1修改hadoo-env.sh
export JAVA_HOME=/home/hadoop/app/jdk1.7.0_55

###############################################################################
                
2.2.2修改core-site.xml

<configuration>
 <!-- 指定hdfs的nameservice为ns1 -->
 <property>
 <name>fs.defaultFS</name>
 <value>hdfs://hdp24/</value>
 </property>
 <!-- 指定hadoop临时目录 -->
 <property>
 <name>hadoop.tmp.dir</name>
 <value>/root/hdptmp/</value>
 </property><!-- 指定zookeeper地址 -->
 <property>
 <name>ha.zookeeper.quorum</name>
 <value>hdp-05:2181,hdp-06:2181,hdp-07:2181</value>
 </property>
 </configuration>###############################################################################


                
2.2.3修改hdfs-site.xml

<configuration>
 <!--指定hdfs的nameservice为bi,需要和core-site.xml中的保持一致 -->
 <property>
 <name>dfs.nameservices</name>
 <value>hdp24</value>
 </property>
 <!-- hdp24下面有两个NameNode,分别是nn1,nn2 -->
 <property>
 <name>dfs.ha.namenodes.hdp24</name>
 <value>nn1,nn2</value>
 </property>
 <!-- nn1的RPC通信地址 -->
 <property>
 <name>dfs.namenode.rpc-address.hdp24.nn1</name>
 <value>hdp-01:9000</value>
 </property>
 <!-- nn1的http通信地址 -->
 <property>
 <name>dfs.namenode.http-address.hdp24.nn1</name>
 <value>hdp-01:50070</value>
 </property>
 <!-- nn2的RPC通信地址 -->
 <property>
 <name>dfs.namenode.rpc-address.hdp24.nn2</name>
 <value>hdp-02:9000</value>
 </property>
 <!-- nn2的http通信地址 -->
 <property>
 <name>dfs.namenode.http-address.hdp24.nn2</name>
 <value>hdp-02:50070</value>
 </property> <!-- 指定NameNode的edits元数据在机器本地磁盘的存放位置 -->
 <property>
 <name>dfs.namenode.name.dir</name>
 <value>/root/hdpdata/name</value>
 </property><property>
 <name>dfs.datanode.data.dir</name>
 <value>/root/hdpdata/data</value>
 </property> <!-- 指定NameNode的共享edits元数据在JournalNode上的存放位置 -->
 <property>
 <name>dfs.namenode.shared.edits.dir</name>
 <value>qjournal://hdp-05:8485;hdp-06:8485;hdp-07:8485/hdp24</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>/root/hdpdata/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.hdp24</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>###############################################################################


            
2.2.4修改mapred-site.xml

<configuration>
 <!-- 指定mr框架为yarn方式 -->
 <property>
 <name>mapreduce.framework.name</name>
 <value>yarn</value>
 </property>
 </configuration>    ###############################################################################

            
2.2.5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的逻辑名字 -->
 <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>hdp-03</value>
 </property>
 <property>
 <name>yarn.resourcemanager.hostname.rm2</name>
 <value>hdp-04</value>
 </property>
 <!-- 指定zk集群地址 -->
 <property>
 <name>yarn.resourcemanager.zk-address</name>
 <value>hdp-01:2181,hdp-02:2181,hdp-03:2181</value>
 </property>
 <property>
 <name>yarn.nodemanager.aux-services</name>
 <value>mapreduce_shuffle</value>
 </property>
 </configuration>


            
                
2.2.6修改slaves(slaves是指定子节点的位置,因为要在hdp-01上启动HDFS、在hdp-03、hdp-04启动yarn,所以hdp-01上的slaves文件指定的是datanode的位置,hdp-03、hdp-04上的slaves文件指定的是nodemanager的位置)

hdp-01 hdp-02 hdp-03 hdp-04 hdp-05 hdp-06 hdp-07

2.2.7配置免密码登陆

#首先要配置hdp-01到hdp-01、hdp-02、hdp-03、hdp-04、hdp-05、hdp-06、hdp-07的免密码登陆
 #在hdp-01上生产一对钥匙
 ssh-keygen -t rsa
 #将公钥拷贝到其他节点,包括自己
                 ssh-coyp-id hdp-01
                 ssh-coyp-id hdp-02
                 ssh-coyp-id hdp-03
                 ssh-coyp-id hdp-04
                 ssh-coyp-id hdp-05
                 ssh-coyp-id hdp-06
                 ssh-coyp-id hdp-07
 #配置hdp-03到hdp-01、hdp-02、hdp-03、hdp-04、hdp-05、hdp-06、hdp-07的免密码登陆
                 #在hdp-03上生产一对钥匙
                 ssh-keygen -t rsa
                 #将公钥拷贝到其他节点
                 ssh-coyp-id hdp-01
                 ssh-coyp-id hdp-02
                 ssh-coyp-id hdp-03
                 ssh-coyp-id hdp-04
                 ssh-coyp-id hdp-05
                 ssh-coyp-id hdp-06
                 ssh-coyp-id hdp-07
                 #注意:两个namenode之间要配置ssh免密码登陆,别忘了配置hdp-01到hdp-02的免登陆


        
        2.4将配置好的hadoop拷贝到其他节点
            scp -r /hadoop/ hdo-02:/
            scp -r /hadoop/ hdp-03:/
            scp -r /hadoop/hadoop-2.6.4/ hadoop@hdp-04:/hadoop/
            scp -r /hadoop/hadoop-2.6.4/ hadoop@hdp-05:/hadoop/
            scp -r /hadoop/hadoop-2.6.4/ hadoop@hdp-06:/hadoop/
            scp -r /hadoop/hadoop-2.6.4/ hadoop@hdp-07:/hadoop/
            
            
            
        ###注意:严格按照下面的步骤!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
        2.5启动zookeeper集群(分别在hdp-01、hdp-02、hdp-03上启动zk)
            cd /hadoop/zookeeper-3.4.5/bin/
            ./zkServer.sh start
            #查看状态:一个leader,两个follower
            ./zkServer.sh status
            
        2.6手动启动journalnode(分别在在hdp-05、hdp-06、hdp-07上执行)

cd /hadoop/hadoop-2.6.4
             sbin/hadoop-daemon.sh start journalnode
             #运行jps命令检验,hdp-05、hdp-06、hdp-07上多了JournalNode进程

        
        2.7格式化namenode
         

#在hdp-01上执行命令:
             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,这里我配置的是/hadoop/hadoop-2.6.4/tmp,然后将/hadoop/hadoop-2.6.4/tmp拷贝到hadoop02的/hadoop/hadoop-2.6.4/下。
             scp -r tmp/ hadoop02:/home/hadoop/app/hadoop-2.6.4/
             ##也可以这样,建议hdfs namenode -bootstrapStandby

        
        2.8格式化ZKFC(在hdp-01上执行即可)
            hdfs zkfc -formatZK
        
        2.9启动HDFS(在hdp-01上执行)
            sbin/start-dfs.sh

        2.10启动YARN(#####注意#####:是在hdp-03上执行start-yarn.sh,把namenode和resourcemanager分开是因为性能问题,因为他们都要占用大量资源,所以把他们分开了,他们分开了就要分别在不同的机器上启动)
            sbin/start-yarn.sh

        
    到此,hadoop-2.6.4配置完毕,可以统计浏览器访问:
        http://hdp-01:50070         NameNode 'hdp-01:9000' (active)
        http://hdp-01:50070
        NameNode 'hdp-02:9000' (standby)

        http://hdp-03:8088/cluster/nodes (active)

        http://hdp-04:8088/cluster/nodes (standby)

手动启动journalnode(分别在在hdp-05、hdp-06、hdp-07上执行)

[root@hdp-05 ~]# hadoop-daemon.sh start journalnode
starting journalnode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-journalnode-hdp-05.out
[root@hdp-05 ~]# jps
3317 JournalNode
3368 Jps
[root@hdp-05 ~]#
[root@hdp-06 ~]# hadoop-daemon.sh start journalnode
starting journalnode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-journalnode-hdp-06.out
[root@hdp-06 ~]# jps
3304 JournalNode
3355 Jps
[root@hdp-07 ~]# hadoop-daemon.sh start journalnode
starting journalnode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-journalnode-hdp-07.out
[root@hdp-07 ~]# jps
3362 Jps
3311 JournalNode
[root@hdp-07 ~]#

启动HDFS(在hdp-01上执行)

[root@hdp-01 ~]# start-dfs.sh
Starting namenodes on [hdp-01 hdp-02]
hdp-02: starting namenode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-namenode-hdp-02.out
hdp-01: starting namenode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-namenode-hdp-01.out
hdp-02: starting datanode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-datanode-hdp-02.out
hdp-05: starting datanode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-datanode-hdp-05.out
hdp-04: starting datanode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-datanode-hdp-04.out
hdp-03: starting datanode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-datanode-hdp-03.out
hdp-07: starting datanode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-datanode-hdp-07.out
hdp-06: starting datanode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-datanode-hdp-06.out
hdp-01: starting datanode, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-datanode-hdp-01.out
Starting journal nodes [hdp-05 hdp-06 hdp-07]
hdp-06: journalnode running as process 3304. Stop it first.
hdp-05: journalnode running as process 3317. Stop it first.
hdp-07: journalnode running as process 3311. Stop it first.
Starting ZK Failover Controllers on NN hosts [hdp-01 hdp-02]
hdp-02: starting zkfc, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-zkfc-hdp-02.out
hdp-01: starting zkfc, logging to /root/apps/hadoop-2.7.2/logs/hadoop-root-zkfc-hdp-01.out
[root@hdp-01 ~]# jps
4721 Jps
3635 QuorumPeerMain
4259 NameNode
4404 DataNode
[root@hdp-01 ~]#

启动YARN(#####注意#####:是在hdp-03/hdp-04上执行start-yarn.sh,把namenode和resourcemanager分开是因为性能问题,因为他们都要占用大量资源,所以把他们分开了,他们分开了就要分别在不同的机器上启动)

[root@hdp-03 ~]# start-yarn.sh
starting yarn daemons
starting resourcemanager, logging to /root/apps/hadoop-2.7.2/logs/yarn-root-resourcemanager-hdp-03.out
hdp-04: nodemanager running as process 3639. Stop it first.
hdp-06: starting nodemanager, logging to /root/apps/hadoop-2.7.2/logs/yarn-root-nodemanager-hdp-06.out
hdp-02: starting nodemanager, logging to /root/apps/hadoop-2.7.2/logs/yarn-root-nodemanager-hdp-02.out
hdp-05: starting nodemanager, logging to /root/apps/hadoop-2.7.2/logs/yarn-root-nodemanager-hdp-05.out
hdp-01: starting nodemanager, logging to /root/apps/hadoop-2.7.2/logs/yarn-root-nodemanager-hdp-01.out
hdp-07: starting nodemanager, logging to /root/apps/hadoop-2.7.2/logs/yarn-root-nodemanager-hdp-07.out
hdp-03: starting nodemanager, logging to /root/apps/hadoop-2.7.2/logs/yarn-root-nodemanager-hdp-03.out
[root@hdp-03 ~]# jps
3619 DataNode
4007 Jps
3879 NodeManager
[root@hdp-04 ~]# start-yarn.sh
starting yarn daemons
starting resourcemanager, logging to /root/apps/hadoop-2.7.2/logs/yarn-root-resourcemanager-hdp-04.out
The authenticity of host 'localhost (::1)' can't be established.
RSA key fingerprint is 45:70:99:dc:00:b1:48:78:6f:ac:a4:47:a0:1b:7a:c5.
Are you sure you want to continue connecting (yes/no)? yes
localhost: Warning: Permanently added 'localhost' (RSA) to the list of known hosts.
root@localhost's password:
localhost: starting nodemanager, logging to /root/apps/hadoop-2.7.2/logs/yarn-root-nodemanager-hdp-04.out
[root@hdp-04 ~]# jps
3763 Jps
3639 NodeManager
3399 DataNode
[root@hdp-04 ~]#

 

访问结果

hadoop 接口实现 hadoop的ha如何实现_大数据_02

hadoop 接口实现 hadoop的ha如何实现_开发工具_03

hadoop 接口实现 hadoop的ha如何实现_运维_04

验证高可用:把hdp-01虚拟机关机,结果hdp-02变为active

hadoop 接口实现 hadoop的ha如何实现_大数据_05

 

hadoop 接口实现 hadoop的ha如何实现_hadoop_06

hadoop 接口实现 hadoop的ha如何实现_hadoop 接口实现_07

Hadoop的HA环境就搭建成功了