Oracle数据迁移至MySQL
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ORACLE DB: 11.2.0.3.0
MYSQL DB: 5.5.14
因项目需求,需要将ORACLE生产中数据迁移至mysql数据库中作为初始数据,方法有如下几种:
1、ORACLE OGG
2、通过手动编写select “insert into”脚本
3、工具,本次我就是使用了工具(sqluldr2),工具下载地址可以到www.anysql.net去下载
使用方法:
将sqluldr2.bin工具上传到oracle的bin目录下,
[[email protected] bin]# chown oracle.oinstall sqluldr2.bin
[[email protected] bin]# chmod 775 sqluldr2.bin
[[email protected] bin]# su - oracle
[[email protected] ~]$ sqluldr2 help=yes
Valid Keywords:
user = username/[email protected]
sql = SQL file name
query = select statement
field = separator string between fields
record = separator string between records
rows = print progress for every given rows (default, 1000000)
file = output file name(default: uldrdata.txt)
log = log file name, prefix with + to append mode
fast = auto tuning the session level parameters(YES)
text = output type (MYSQL, CSV, MYSQLINS, ORACLEINS, FORM, SEARCH).
charset = character set name of the target database.
ncharset= national character set name of the target database.
parfile = read command option from parameter file
read = set DB_FILE_MULTIBLOCK_READ_COUNT at session level
sort = set SORT_AREA_SIZE at session level (UNIT:MB)
hash = set HASH_AREA_SIZE at session level (UNIT:MB)
array = array fetch size
head = print row header(Yes|No)
batch = save to new file for every rows batch (Yes/No)
size = maximum output file piece size (UNIB:MB)
serial = set _serial_direct_read to TRUE at session level
trace = set event 10046 to given level at session level
table = table name in the sqlldr control file
control = sqlldr control file and path.
mode = sqlldr option, INSERT or APPEND or REPLACE or TRUNCATE
buffer = sqlldr READSIZE and BINDSIZE, default 16 (MB)
long = maximum long field size
width = customized max column width (w1:w2:...)
quote = optional quote string
data = disable real data unload (NO, OFF)
alter = alter session SQLs to be execute before unload
safe = use large buffer to avoid ORA-24345 error (Yes|No)
crypt = encrypted user information only (Yes|No)
sedf/t = enable character translation function
null = replace null with given value
escape = escape character for special characters
escf/t = escape from/to characters list
format = MYSQL: MySQL Insert SQLs, SQL: Insert SQLs.
exec = the command to execute the SQLs.
prehead = column name prefix for head line.
rowpre = row prefix string for each line.
rowsuf = row sufix string for each line.
colsep = separator string between column name and value.
presql = SQL or scripts to be executed before data unload.
postsql = SQL or scripts to be executed after data unload.
lob = extract lob values to single file (FILE).
lobdir = subdirectory count to store lob files .
split = table name for automatically parallelization.
degree = parallelize data copy degree (2-128).
hint = MySQL SQL hint for the Insert, for example IGNORE.
unique = Unique Column List for the MySQL target table.
update = Enable MySQL ON DUPLICATE SQL statement(YES/NO).
crack = The crack key for the content protection.
uncrack = The uncrack key for the content protection.
for field and record, you can use ‘0x‘ to specify hex character code,
\r=0x0d \n=0x0a |=0x7c ,=0x2c, \t=0x09, :=0x3a, #=0x23, "=0x22 ‘=0x27
每次参数所代表的具体含义和意义不描述,自己看
注意以下3点:
1、将ORACLE数据库中数据迁移到MYSQL,不要通过分隔符的方法,测试过分隔符,在导入到MYSQL过程中会有警告,一些数据被截断,避免大家走弯路
2、切记ORACLE生产环境的字符集是GBK,而MYSQL生产环境的字符集是UTF-8
3、将ORACLE数据全部导出成insert into 语句,这样在插入的过程避免出错,可以通过MYSQL还原命令直接还原,如出错进程会终止,source插入数据,中间出现警告,无法去验证
在测试ORACLE导出成insert into文本后,在还原到MYSQL过程中,测试N多次后,最终导出命令如下:
sqluldr2.bin user=yoon/[email protected]_177 query="select * from YOON.CESHI" charset=UTF8 text=MYSQLINS format=SQL file=/u01/backup/oracle_mysql/CESHI_%b.txt size=30000MB table=CESHI safe=YES
user : 用户名/密码@服务名
query:查询语句
charset:字符集UTF-8 , 将oracle中gbk字符集数据导出为文本格式后的字符集为UTF-8
text :导出文件类型,必须为MYSQLINS, 成为的文件数据中自动生成插入mysql语句的``符号,例如:`张三`
format:格式为MYSQL
file:导出数据文件保存路径
%b:字母b必须为小写,可生成多个数据文本文件 ,例如:CESHI_1,CESHI_2 ......; 避免直接生成一个超级大的数据文件
size:必须以MB为单位,导出的每个文件的大小,30000MB,导出的每个数据文件30G
table:生成的数据文件中直接包含表名,否则会成生成insert into " ",没有表名
safe:YES 这个一定要加,在测试大量的表中,发现有的oracle表导出过程中会报ORA-24345错误,说是工具的BUG,加参数safe=YES即可
总结:
经过大量的测试后最终总结上面的导出命令语句,目前测试的表数据没有问题,至少对于我而言是这样.
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