大数据集群迁移
迁移数据
准备两套集群,我这使用apache集群和CDH集群
启动集群
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
在apache集群里hosts加上CDH Namenode对应域名并分发给各机器
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
[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</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>
修改CDH hosts
[root@hadoop101 ~]# vim /etc/hosts
进行分发,这里的hadoop104,hadoop105,hadoop106,分别对应apache的hadoop101,hadoop102,hadoop103
同样修改CDH集群配置,在所有hdfs-site.xml文件里修改配置
<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>
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
apache设置为false
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
[root@hadoop101 hadoop]# hadoop distcp -Dmapred.job.queue.name=hive webhdfs://mycluster:9070/user/hive/warehouse/dwd.db/ hdfs://nameservice1/user/hive/warehouse
会启动一个mr任务,正在迁移
查看cdh 9870 http地址
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
[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
执行脚本后将tablesDDL.txt文件分发到CDH集群下
[root@hadoop101 module]# scp tablesDDL.txt hadoop104:/opt/module/
然后CDH下导入此表结构,先进到CDH(此处hadoop101)与上面104对应的hive里创建dwd库
[root@hadoop101 module]# hive
hive> create database dwd;
创建数据库后,tablesDDL.txt文本中,在最上方加上use dwd;
并且将createtab_stmt都替换成空格
[root@hadoop101 module]# sed -i s"#createtab_stmt# #g" tablesDDL.txt
最后执行hive -f命令将表结构导入
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
[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
刷完分区后,查询表数据
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