Oracle同义词+dblink的实际应用
Oracle同义词+dblink的实际应用 业务需求:原数据库(10.2.0.4.0),新数据库(11.2.0.3)由于程序的需求原因,现在需要把新库上的某
首页 → 数据库技术
背景:
阅读新闻
Oracle同义词+dblink的实际应用
[日期:2015-07-21] 来源:Linux社区 作者:AlfredZhao [字体:]
Oracle同义词+dblink的实际应用
业务需求:原数据库(10.2.0.4.0),新数据库(11.2.0.3)
由于程序的需求原因,现在需要把新库上的某个用户直接映射到老库用户下:
1. 备份原库的用户
nohup exp scott/scott OWNER=scott BUFFER=10240000 STATISTICS=none RESUMABLE=y FILE=scott_all_exp.dmp LOG=scott_all_exp.log &
2. 删除原库的用户下的表
set linesize 180 pagesize 1000
SELECT 'DROP TABLE '||table_name||' CASCADE CONSTRAINTS PURGE;' FROM user_tables;
得出SQL的命令vi保存到droptable.sql
然后SQL> @droptable
3. 在原库上创建到新库的dblink
create public database link link167 connect to scott identified by scott using '(DESCRIPTION =
(ADDRESS_LIST =
(ADDRESS = (PROTOCOL = TCP)(HOST = 192.168.1.167)(PORT = 1521))
)
(CONNECT_DATA =
(SERVICE_NAME = NEWDB)
)
)';
测试dblink可用:
select * from dual@link167;
4. 在原库上创建同义词
create synonym MDRT_12E92$ for MDRT_12E92$@link167;
在新库查询user_tables得到table_name的列表,
set pagesize 1500
select table_name from user_tables;
命令用UE列编辑处理好,vi保存到createsynonym.sql
然后SQL> @createsynonym
本文永久更新链接地址:
Oracle数据库Delete删除千万以上普通堆表数据的方法
Oracle 11g静默安装软件+手工创建数据库
相关资讯 Oracle dblink
图片资讯
本文评论 查看全部评论 (0)
评论声明
最新资讯
本周热门
Linux公社简介 - 广告服务 - 网站地图 - 帮助信息 - 联系我们
本站(LinuxIDC)所刊载文章不代表同意其说法或描述,,仅为提供更多信息,也不构成任何建议。
Copyright © 2006-2015 Linux公社 All rights reserved 沪ICP备15008072号-1号

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

Article discusses using foreign keys to represent relationships in databases, focusing on best practices, data integrity, and common pitfalls to avoid.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.
