Oracle数据泵导入导出数据

目录

一、导出/导入指定用户下的表带条件的数据

1.先通过Oracle视图生成可执行的SQL

2.新建一个par文件

3.使用数据泵执行该par文件

4.查询导出的行数与数据库中的行数是否一致

5.使用数据泵导入dmp文件

6.导入后查看数据量是否一致


一、导出/导入指定用户下的表带条件的数据

1.先通过Oracle视图生成可执行的SQL

sql 复制代码
SELECT 'ISS_A.' || table_name || ':"WHERE DATA_DATE IN (''20250630'',''20250731'')",'
FROM ALL_TABLES WHERE OWNER='ISS_A' AND TABLE_NAME LIKE 'ISS_A%';

2.新建一个par文件

注意:脚本里面如果不写TABLES,写SCHEMAS=ISS_A,就会导出ISS_A用户下所有表过滤后的数据

bash 复制代码
vim exp-20250630.par


USERID=ISS_A/123456@127.0.0.1:1521/testdb
DUMPFILE=ISS_A_data_20250630.dmp
LOGFILE=ISS_A_data_20250630.log
TABLES=(
ISS_A.ISS_A_ACCT_INFO,
ISS_A.ISS_A_ACCT_INFO_BAK,
ISS_A.ISS_A_BD_BS_SM_DUTY_INFO,
ISS_A.ISS_A_BD_BS_SM_DUTY_INFO_BAK,
ISS_A.ISS_A_BD_BS_SM_PUNISH_INFO,
ISS_A.ISS_A_BD_BS_SM_PUNISH_INFO_BAK
)
CONTENT=DATA_ONLY
QUERY=(
ISS_A_ACCT_INFO:"WHERE DATA_DATE IN ('20250630','20250731')",
ISS_A_ACCT_INFO_BAK:"WHERE DATA_DATE IN ('20250630','20250731')",
ISS_A_BD_BS_SM_DUTY_INFO:"WHERE DATA_DATE IN ('20250630','20250731')",
ISS_A_BD_BS_SM_DUTY_INFO_BAK:"WHERE DATA_DATE IN ('20250630','20250731')",
ISS_A_BD_BS_SM_PUNISH_INFO:"WHERE DATA_DATE IN ('20250630','20250731')",
ISS_A_BD_BS_SM_PUNISH_INFO_BAK:"WHERE DATA_DATE IN ('20250630','20250731')"
)

3.使用数据泵执行该par文件

bash 复制代码
[oracle@t-zt-db ~]$ expdp PARFILE=exp-20250630.par

4.查询导出的行数与数据库中的行数是否一致

sql 复制代码
SELECT * FROM ISS_A.ISS_A_ACCT_INFO WHERE DATA_DATE IN ('20250630','20250731');

是33行,说明无误

5.使用数据泵导入dmp文件

清空原表指定日期的数据

sql 复制代码
DELETE FROM ISS_A.ISS_A_ACCT_INFO WHERE DATA_DATE IN ('20250630','20250731');
DELETE FROM ISS_A.ISS_A_ACCT_INFO_BAK WHERE DATA_DATE IN ('20250630','20250731');
DELETE FROM ISS_A.ISS_A_BD_BS_SM_DUTY_INFO WHERE DATA_DATE IN ('20250630','20250731');
DELETE FROM ISS_A.ISS_A_BD_BS_SM_DUTY_INFO_BAK WHERE DATA_DATE IN ('20250630','20250731');
DELETE FROM ISS_A.ISS_A_BD_BS_SM_PUNISH_INFO WHERE DATA_DATE IN ('20250630','20250731');
DELETE FROM ISS_A.ISS_A_BD_BS_SM_PUNISH_INFO_BAK WHERE DATA_DATE IN ('20250630','20250731');

注意:必须加上CONTENT=DATA_ONLY,否则表结构和数据都会导入执行

sql 复制代码
impdp ISS_A/123456@127.0.0.1:1521/testdb DUMPFILE=ISS_A_data_20250630.dmp LOGFILE=imp_ISS_A_data_20250630.log CONTENT=DATA_ONLY

6.导入后查看数据量是否一致

sql 复制代码
SELECT 'SELECT * FROM ISS_A.' || table_name || ' WHERE DATA_DATE IN (''20250630'',''20250731'');,'
FROM ALL_TABLES WHERE OWNER='ISS_A' AND TABLE_NAME LIKE 'ISS_A%';

SELECT * FROM ISS_A.ISS_A_ACCT_INFO WHERE DATA_DATE IN ('20250630','20250731');
SELECT * FROM ISS_A.ISS_A_ACCT_INFO_BAK WHERE DATA_DATE IN ('20250630','20250731');
SELECT * FROM ISS_A.ISS_A_BD_BS_SM_DUTY_INFO WHERE DATA_DATE IN ('20250630','20250731');
SELECT * FROM ISS_A.ISS_A_BD_BS_SM_DUTY_INFO_BAK WHERE DATA_DATE IN ('20250630','20250731');
SELECT * FROM ISS_A.ISS_A_BD_BS_SM_PUNISH_INFO WHERE DATA_DATE IN ('20250630','20250731');
SELECT * FROM ISS_A.ISS_A_BD_BS_SM_PUNISH_INFO_BAK WHERE DATA_DATE IN ('20250630','20250731');
相关推荐
这个DBA有点耶38 分钟前
AI写的SQL跑崩了生产库,这锅谁背?
数据库·人工智能·程序员
镜舟科技1 小时前
Databricks 再提 LTAP,AI 时代的数据底座为何重回大一统叙事?
数据库·架构·agent
Databend2 小时前
从湖仓升级为 Agent 时代的数据控制面,Snowflake 和 Databricks 有哪些布局
大数据·数据库·agent
ClouGence5 小时前
SQL Server CDC 能放到 Always On 备库读吗?一文讲透原理与实践
数据库·sql server
先吃饱再说1 天前
存储的进化:从 MySQL 到浏览器缓存,数据到底住在哪?
数据库
Nturmoils1 天前
字段太多看不全,ksql 的展开模式和输出控制怎么用
数据库·后端
Databend1 天前
Agent 轨迹分析与归因的数据工程实践
大数据·数据库·agent
这个DBA有点耶1 天前
SQL改写进阶:标量子查询的“隐形代价”与消除实战
数据库·mysql·架构
smallyoung1 天前
数据库乐观锁深度解析:MySQL、PostgreSQL 实战 + Spring Boot 集成指南
数据库·mysql·postgresql
parade岁月1 天前
MySQL JOIN解析:朴实无华但食之有味
数据库·后端