大数据技术之集群数据迁移

2023-11-03 09:53:35 浏览数 (2)

数据治理之集群迁移数据

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

[root@hadoop101 ~]# vim /etc/hosts

[root@hadoop101 ~]# scp /etc/hosts hadoop102:/etc/

[root@hadoop101 ~]# scp /etc/hosts hadoop103:/etc/

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

dfs.nameservices

mycluster,nameservice1

dfs.internal.nameservices

mycluster

dfs.ha.namenodes.mycluster

nn1,nn2,nn3

dfs.namenode.rpc-address.mycluster.nn1

hadoop101:8020

dfs.namenode.rpc-address.mycluster.nn2

hadoop102:8020

dfs.namenode.rpc-address.mycluster.nn3

hadoop103:8020

dfs.ha.namenodes.nameservice1

namenode30,namenode37

dfs.namenode.rpc-address.nameservice1.namenode30

hadoop104:8020

dfs.namenode.rpc-address.nameservice1.namenode37

hadoop106:8020

dfs.namenode.http-address.nameservice1.namenode30

hadoop104:9870

dfs.namenode.http-address.nameservice1.namenode37

hadoop106:9870

dfs.client.failover.proxy.provider.nameservice1

org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider

dfs.namenode.http-address.mycluster.nn1

hadoop101:9870

dfs.namenode.http-address.mycluster.nn2

hadoop102:9870

dfs.namenode.http-address.mycluster.nn3

hadoop103:9870

dfs.client.failover.proxy.provider.mycluster

org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider

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

[root@hadoop101 ~]# scp /etc/hosts hadoop102:/etc/

[root@hadoop101 ~]# scp /etc/hosts hadoop103:/etc/

同样修改CDH集群配置,在所有hdfs-site.xml文件里修改配置

dfs.nameservices

mycluster,nameservice1

dfs.internal.nameservices

nameservice1

dfs.ha.namenodes.mycluster

nn1,nn2,nn3

dfs.namenode.rpc-address.mycluster.nn1

hadoop104:8020

dfs.namenode.rpc-address.mycluster.nn2

hadoop105:8020

dfs.namenode.rpc-address.mycluster.nn3

hadoop106:8020

dfs.namenode.http-address.mycluster.nn1

hadoop104:9870

dfs.namenode.http-address.mycluster.nn2

hadoop105:9870

dfs.namenode.http-address.mycluster.nn3

hadoop106:9870

dfs.client.failover.proxy.provider.mycluster

org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider

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的hive里创建dwd库

[root@hadoop101 module]# hive

hive> create database dwd;

创建数据库后,边界tablesDDL.txt,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

[root@hadoop101 module]# hive -f tablesDDL.txt

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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