[TOC]
尚硅谷大数据技术之集群迁移(Apache和CDH)
(作者:尚硅谷大数据研发部)
版本:V1.0
第1章迁移数据
1)准备两套集群,我这使用apache集群和CDH集群。
2)启动集群
3)启动完毕后,将apache集群中,hive库里dwd,dws,ads三个库的数据迁移到CDH集群
4)在apache集群里hosts加上CDH Namenode对应域名并分发给各机器
[root@hadoop101 ~]# vim /etc/hosts
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| [root@hadoop101 ~]# scp /etc/hosts hadoop102:/etc/ [root@hadoop101 ~]# scp /etc/hosts hadoop103:/etc/
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5)因为集群都是HA模式,所以需要在apache集群上配置CDH集群,让distcp能识别出CDH的nameservice
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| [root@hadoop101 hadoop]# vim /opt/module/hadoop-3.1.3/etc/hadoop/hdfs-site.xml <!--配置nameservice--> <property> <name>dfs.nameservices</name> <value>mycluster,nameservice1</value> </property>
<!--指定本地服务--> <property> <name>dfs.internal.nameservices</name> <value>mycluster,nameservice1</value> </property> <!--配置多NamenNode--> <property> <name>dfs.ha.namenodes.mycluster</name> <value>nn1,nn2,nn3</value> </property> <property> <name>dfs.namenode.rpc-address.mycluster.nn1</name> <value>hadoop101:8020</value> </property> <property> <property> <name>dfs.namenode.rpc-address.mycluster.nn2</name> <value>hadoop102:8020</value> </property> <property> <name>dfs.namenode.rpc-address.mycluster.nn3</name> <value>hadoop103:8020</value> </property> <!--配置nameservice1的namenode服务--> <property> <name>dfs.ha.namenodes.nameservice1</name> <value>namenode30,namenode37</value> </property> <property> <name>dfs.namenode.rpc-address.nameservice1.namenode30</name> <value>hadoop104:8020</value> </property> <property> <name>dfs.namenode.rpc-address.nameservice1.namenode37</name> <value>hadoop106:8020</value> </property> <property> <name>dfs.namenode.http-address.nameservice1.namenode30</name> <value>hadoop104:9870</value> </property> <property> <name>dfs.namenode.http-address.nameservice1.namenode37</name> <value>hadoop106:9870</value> </property> <property> <name>dfs.client.failover.proxy.provider.nameservice1</name> <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property> <!--为NamneNode设置HTTP服务监听--> <property> <name>dfs.namenode.http-address.mycluster.nn1</name> <value>hadoop101:9870</value> </property> <property> <name>dfs.namenode.http-address.mycluster.nn2</name> <value>hadoop102:9870</value> </property> <property> <name>dfs.namenode.http-address.mycluster.nn3</name> <value>hadoop103:9870</value> </property> <!--配置HDFS客户端联系Active NameNode节点的Java类--> <property> <name>dfs.client.failover.proxy.provider.mycluster</name> <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property>
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6)修改CDH hosts
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| [root@hadoop101 ~]# vim /etc/hosts
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7)进行分发,这里的hadoop104,hadoop105,hadoop106分别对应apache的hadoop101,hadoop102,hadoop103
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| [root@hadoop101 ~]# scp /etc/hosts hadoop102:/etc/ [root@hadoop101 ~]# scp /etc/hosts hadoop103:/etc/
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8)同样修改CDH集群配置,在所有hdfs-site.xml文件里修改配置
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| <property> <name>dfs.nameservices</name> <value>mycluster,nameservice1</value> </property>
<property> <name>dfs.internal.nameservices</name> <value>nameservice1</value> </property>
<property> <name>dfs.ha.namenodes.mycluster</name> <value>nn1,nn2,nn3</value> </property>
<property> <name>dfs.namenode.rpc-address.mycluster.nn1</name> <value>hadoop104:8020</value> </property>
<property> <name>dfs.namenode.rpc-address.mycluster.nn2</name> <value>hadoop105:8020</value> </property>
<property> <name>dfs.namenode.rpc-address.mycluster.nn3</name> <value>hadoop106:8020</value> </property>
<property> <name>dfs.namenode.http-address.mycluster.nn1</name> <value>hadoop104:9870</value> </property>
<property> <name>dfs.namenode.http-address.mycluster.nn2</name> <value>hadoop105:9870</value> </property>
<property> <name>dfs.namenode.http-address.mycluster.nn3</name> <value>hadoop106:9870</value> </property>
<property> <name>dfs.client.failover.proxy.provider.mycluster</name> <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property>
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9)最后注意:重点由于我的Apahce集群和CDH集群3台集群都是hadoop101,hadoop102,hadoop103所以要关闭域名访问,使用IP访问
CDH把钩去了
10)apache设置为false
11)再使用hadoop distcp命令进行迁移,-Dmapred.job.queue.name指定队列,默认是default队列。上面配置集群都配了的话,那么在CDH和apache集群下都可以执行这个命令
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| [root@hadoop101 hadoop]# hadoop distcp -Dmapred.job.queue.name=hive webhdfs://mycluster:9070/user/hive/warehouse/dwd.db/ hdfs://nameservice1/user/hive/warehouse
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12)会启动一个MR任务,正在迁移
13)查看cdh 9870 http地址
14)数据已经成功迁移。数据迁移成功之后,接下来迁移hive表结构,编写shell脚本
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| [root@hadoop101 module]# vim exportHive.sh #!/bin/bash hive -e "use dwd;show tables">tables.txt cat tables.txt |while read eachline do hive -e "use dwd;show create table $eachline">>tablesDDL.txt echo ";" >> tablesDDL.txt done
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15)执行脚本后将tablesDDL.txt文件分发到CDH集群下
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| [root@hadoop101 module]# scp tablesDDL.txt hadoop104:/opt/module/
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16)然后CDH下导入此表结构,先进到CDH的hive里创建dwd库
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| [root@hadoop101 module]# hive hive> create database dwd;
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17)创建数据库后,边界tablesDDL.txt在最上方加上use dwd;
18)并且将createtab_stmt都替换成空格
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| [root@hadoop101 module]# sed -i s"#createtab_stmt# #g" tablesDDL.txt
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19)最后执行hive -f命令将表结构导入
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| [root@hadoop101 module]# hive -f tablesDDL.txt
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20)最后将表的分区重新刷新下,只有刷新分区才能把数据读出来,编写脚本
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| [root@hadoop101 module]# vim msckPartition.sh #!/bin/bash hive -e "use dwd;show tables">tables.txt cat tables.txt |while read eachline do hive -e "use dwd;MSCK REPAIR TABLE $eachline" done [root@hadoop101 module]# chmod +777 msckPartition.sh [root@hadoop101 module]# ./msckPartition.sh
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21)刷完分区后,查询表数据