Oracle的安装
oracle的下载,安装
请参考:
https://www.cnblogs.com/hoobey/p/6010804.html
值得一提的是:
安装完成,首次启动Developer的时候,需要制定java.exe的路径。这个路径需要选择oracle安装目录下的路径。
我的机器上,该路径为:F:\App\Administrator\product\11.2.0\dbhome_1\jdk\bin
另外,若按照如上步骤安装连续报错:unable to find a JVM则是因为安装的Oracle 11g R2自带的SQL Develper是32bit的,但给它的JDK环境是64bit的,所以报错。
只需要从Oracle官网下载Oracle SQL dEVELOPER x64,然后替换掉原安装目录(如F:\App\Administrator\product\11.2.0\dbhome_1)下的sqldeveloper文件夹,然后重新启动SQL Developer即可。

sqluldr2
Sqluldr2是一款可以快速导出oracle数据库中的数据的小工具。

Oracle在PL/SQL Developer下,导出文件较慢,尤其在面对海量数据下载时,一款能够提速50%-75%数据下载速度的工具显得尤为重要。Sqluldr2是不错的选择。

下载链接:Sqluldr2。
解压资源

 

在windows下,只需要在该地址下打开命令行窗口,直接执行对应的文件即可。


具体的数据格式和命令:


Usage: SQLULDR2 keyword=value [,keyword=value,...]

Valid Keywords:
user = username/password@tnsname
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).

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

oracle数据导出工具sqluldr2

基本简介

  下载完sqluldr解压后,文件夹内容如下:
  sqluldr2.exe 用于32位windows平台;
  sqluldr2_linux32_10204.bin 适用于linux32位操作系统;
  sqluldr2_linux64_10204.bin 适用于linux64位操作系统;
  sqluldr264.exe 用于64位windows平台。

使用方法

  1、首先将sqluldr2.exe复制到执行目录下,即可开始使用
  2、查看help 帮助

sqluldr2 官方下载

  3、执行数据导出命令
  3.1、常规导出
  sqluldr2 test/test@127.0.1.1/orcl query=”select * from temp_001” head=yes file=d:\tmp001.csv
  说明:head=yes 表示输出表头

  3.2、使用sql参数
  sqluldr2 test/test@127.0.1.1/orcl sql=test_sql.sql head=yes file=d:\tmp001.csv
  test_sql的内容为:
  select * from temp_001

  3.3、使用log参数
  当集成sqluldr2在脚本中时,就希望屏蔽上不输出这些信息,但又希望这些信息能保留,这时可以用“LOG”选项来指定日志文件名。
  sqluldr2 test/test@127.0.1.1/orcl sql=test_sql.sql head=yes file=d:\tmp001.csv log=+d:\tmp001.log

  3.4、使用 table 参数
  当使用 table 参数时,在目录下会生成对应的ctl控制文件,如下语句会生成temp_001_sqlldr.ctl文件。
  sqluldr2 test/test@127.0.1.1/orcl query=”select * from temp_001” table=temp_001 head=yes file=d:\tmp001.csv

 


原文链接:https://blog.csdn.net/b285795298/article/details/81872434

 posted on 2021-11-09 11:01  xibuhaohao  阅读(597)  评论(0编辑  收藏  举报