Sqluldr2
使用pl/sql导出Excel最多只能导出65535条数据，而且数据导出比较慢；查看全部数据还会出现异常
数据量过大
sqluldr2是oracle数据导出工具，它可以将数据以csv、txt等格式导出，适用于大批量数据的导出，导出速度非常快。导出后可以使用oracle loader工具将数据导入。
sqluldr2下载
https://pan.baidu.com/s/1A9OUi4WlNT61XZzw-dpGZw
https://blog.csdn.net/howie_zhw/article/details/53491692
命令参数
C:\Users\pengyunlong>C:\Users\pengyunlong\Downloads\sqluldr2\oracle数据快速导出工具\sqluldr2.exe
SQL*UnLoader: Fast Oracle Text Unloader (GZIP, Parallel), Release 4.0.1
(@) Copyright Lou Fangxin (AnySQL.net) 2004 - 2010, all rights reserved.
License: Free for non-commercial useage, else 100 USD per server.
Usage: SQLULDR2 keyword=value [,keyword=value,...]
Valid Keywords:
user = username/password@tnsname #用户名/密码@数据库IP/实例名
sql = SQL file name #查询数据的sql文件路径
query = select statement #查询语句
field = separator string between fields #查询结果的字段分割符默认是空格
record = separator string between records #两行记录之间的分割符默认换行
rows = print progress for every given rows (default, 1000000) #每隔多少行打一条日志
file = output file name(default: uldrdata.txt) #导出数据文件的路径
log = log file name, prefix with + to append mode #日志文件路径
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. #目标数据库的编码UTF8
ncharset= national character set name of the target database.
parfile = read command option from parameter file
for field and record, you can use '0x' to specify hex character code, #分隔符的编码
\r=0x0d \n=0x0a |=0x7c ,=0x2c, \t=0x09, :=0x3a, #=0x23, "=0x22 '=0x27
示例
- 根据查询语句导出
sqluldr2_linux64_10204.bin user="username/pwd"
query="select * from table" field="0x09"
record=0x0a file="/opt/data/table.txt" charset=UTF8
- 查询语句过长可以将语句写入sql文件中
- sql=使用queryMerPSql.sql里面的sql语句来执行查询操作
- field=结果字段使用逗号分割，
- record=0x0a 行间使用\n分割
- file= 导出文件名为6.csv
- head=yes 带表头
- rows=10000 每隔10000行输出日志
- log=+ 输出日志位置
C:\Users\pengyunlong>sqluldr2.exe user="username/[email protected].**.**/hdb"
sql="C:\Users\pengyunlong\Desktop\导出数据\queryMerPSql.sql" field="0x2c" record=0x0a
file="C:\Users\pengyunlong\Desktop\导出数据\queryMerPSql\6.csv" head=yes rows=10000
log=+C:\Users\pengyunlong\Desktop\导出数据\tmp001.log
- 查看日志导出日志
0 rows exported at 2018-06-19 16:37:49, size 0 MB.
10000 rows exported at 2018-06-19 16:37:49, size 0 MB.
20000 rows exported at 2018-06-19 16:37:49, size 0 MB.
30000 rows exported at 2018-06-19 16:37:50, size 0 MB.
40000 rows exported at 2018-06-19 16:37:50, size 0 MB.
50000 rows exported at 2018-06-19 16:37:50, size 0 MB.
60000 rows exported at 2018-06-19 16:37:50, size 0 MB.
70000 rows exported at 2018-06-19 16:37:51, size 0 MB.
80000 rows exported at 2018-06-19 16:37:51, size 0 MB.
90000 rows exported at 2018-06-19 16:37:51, size 0 MB.
100000 rows exported at 2018-06-19 16:37:51, size 0 MB.
110000 rows exported at 2018-06-19 16:37:51, size 0 MB.
120000 rows exported at 2018-06-19 16:37:52, size 4 MB.
130000 rows exported at 2018-06-19 16:37:52, size 4 MB.
140000 rows exported at 2018-06-19 16:37:52, size 4 MB.
150000 rows exported at 2018-06-19 16:37:52, size 4 MB.
160000 rows exported at 2018-06-19 16:37:53, size 4 MB.
170000 rows exported at 2018-06-19 16:37:53, size 4 MB.
180000 rows exported at 2018-06-19 16:37:53, size 4 MB.
190000 rows exported at 2018-06-19 16:37:53, size 4 MB.
200000 rows exported at 2018-06-19 16:37:53, size 4 MB.
210000 rows exported at 2018-06-19 16:37:54, size 4 MB.
220000 rows exported at 2018-06-19 16:37:54, size 4 MB.
226482 rows exported at 2018-06-19 16:37:54, size 8 MB.
output file C:\Users\pengyunlong\Desktop\导出数据\queryMerPSql\6.csv
closed at 42295 rows, size 5 MB.