记一次MSSQL到MySQL大数据迁移过程

工作中遇到一个需求 要将MSSQL数据库*计12张表的数据大概1000W行数据迁移到MySQL数据库中,去年另一个同事负责这件事情,他采用的方法是先将MSSQL数据库里的数据生成同MySQL数据库表结构一致的12张表,然后用我提供的一个delphi写的一个工具来进行迁移。工具用的UniDAC的TCRBatchMove控件批量移动数据控件,开始测试了小批量数据效果还不错。最后在迁移数据汇总时程序运行几个小时也没完,还出现卡死的情况。后来采用生成SQL语句的方式,生成出来的SQL有2G多,在查询工具里执行,也直接执行死了。没办法,把SQL分段执行吧。。。最后折腾1个星期左右才把数据导进去。
今年让我接手这件事情,对于去年这痛苦的经历真是往事不堪回首。这次查阅各种资料,最终解决了问题,处理数据加修正不规则数据用时20分钟,导出导入10分钟总计用时半个小时。不算完美,还是很满意了。
下面就讲讲这次解决问题的过程
1、开始想试试原来的方式,因为原来的程序是delphi7写的换成xe4,并生成64位exe(保证内存不会溢出),效果没有,速度太慢。修改批量迁移控件MovedCount 5000, 10000 DMDst.CRBatchMove.MovedCount := 5000依然没有效果,发现MovedCount无论怎么修改或者设置为默认0数据插入速度均保持在1000条左右。也许是我还没搞明白,也可能性能极限就这样了吧。行不通 Pass
2、查阅资料发现mysql有load data可以快速导入数据 MSSQL有sqlcmd可以快速导出数据测试发现几十W数据的表都是秒级导入导出。
MSSQL导出
记一次MSSQL到MySQL大数据迁移过程aaarticlea/png;base64,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" 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MySQL导入
记一次MSSQL到MySQL大数据迁移过程aaarticlea/png;base64,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" 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决定用这种方案试试,在进一步测试所有数据过程中发现数据格式问题 在MSSQL导出过程中遇到 ,英文逗号, '单引号 ,\正斜杠, /反斜杠等特殊字符时均要报错,我导出的数据以逗号做为分隔符,当字段数据中今有回车导出文本时会当做一条新记录,导入时便会报字段不匹配。回车符也要处理掉,因为我们有一个字段数据本身就要求要有回车符这个问题困扰我很长时间,开始忽略掉这个问题留到最后解决,一直没找到解决办法,最后换了一个思路先把在MSSQL中将回车用<br>字符替换,导入MySQL后再把<br>替换成回车字符。也算是曲线求国了。
3、这一过程测试通过后就要将所有操作集成在一个程序里了,这最后要反复使用的功能用在cmd里敲命令,显示是不现实的了。在写成程序的过程中又遇到各种问题,一度让我回到重新尝试第1种解决方案。其实这过程中主要是遇到程序里MySQL读取txt路径的问题。
 
下面是整个实现过程
配置SQL
 -- 允许配置高级选项
EXEC sp_configure 'show advanced options', 1
GO
-- 重新配置
RECONFIGURE
GO
-- 启用xp_cmdshell
EXEC sp_configure 'xp_cmdshell', 1
GO
--重新配置
RECONFIGURE
GO --执行想要的xp_cmdshell语句
Exec xp_cmdshell 'query user'
GO

......处理数据表中特殊字符 代码略......

下面两句是关键代码 实现导出和导入,实际项目是10几张表循环执行这一操作

sqlcmd -d DBNAME -E -o "my.ini下的datadir设置的路径\xx.txt" -f 65001 -Q "SELECT * FROM db..xx" -W -w 8000 -s, -h-1

load data infile 'xx.txt' replace into table xx character set utf8 fields terminated by ',' enclosed by '"' lines terminated by '\n' (a, b);

 
 --用完后,要记得将xp_cmdshell禁用(出于安全考虑)
-- 允许配置高级选项
EXEC sp_configure 'show advanced options', 1
GO
-- 重新配置
RECONFIGURE
GO
-- 禁用xp_cmdshell
EXEC sp_configure 'xp_cmdshell', 0
GO
--重新配置
RECONFIGURE
GO
 MySQL my.ini配置如下,主要注意红色部分
记一次MSSQL到MySQL大数据迁移过程aaarticlea/png;base64,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" alt="" />
注意:sqlcmd里面的输出路径为my.in配置里的datadir路径,这样MySQL的load data就不需要指定路径会自动找到文件。
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