Oracle 10g的dmp如何导入9i
如何将oracle 10g中的数据库对象迁移到9i中.这个10g和9i的服务器分别搭建在局域网的两个机器上,可以相互访问.
问题描述:如何将Oracle 10g中的数据库对象迁移到9i中.这个10g和9i的服务器分别搭建在局域网的两个机器上,可以相互访问.
问题分析:在网上查了一些资料,表明要想将10g导出的dmp文件导入到9i中,是不可实现的.只能实现9i往10g中导.如果想要把10g中的数据导入到9i中,可以先到9i那台服务器上配置一个tnsnames.ora串,用于访问10g数据库,之后在9i服务器中用9i客户端提供的exp命令实现导出,再用imp命令实现导入.
10g导出的dmp往9i中导入,可能会报以下错误.
在安装有9i客户端执行导入命令时会报:
Import started on 2013-3-13 14:17:13
E:\oracle\ora92\bin\IMP.EXE log=C:\DOCUME~1\wangzh\LOCALS~1\Temp\plsimp.log file=D:\yusj\dqjz\dqjz20130308.dmp userid=dqjz/dqjz@ORCL buffer=30720 commit=no full=yes grants=yes ignore=yes indexes=yes rows=yes show=no constraints=yes
连接到: Oracle9i Enterprise Edition Release 9.2.0.1.0 - Production
With the Partitioning, OLAP and Oracle Data Mining options
JServer Release 9.2.0.1.0 - Production
IMP-00010: 不是有效的导出文件,,标题验证失败
IMP-00000: 未成功终止导入
Import finished on 2013-3-13 14:17:13
在安装有10g客户端执行导入命令时会报:
Import started on 2013-3-13 上午 11:13:02
D:\oracle\product\10.2.0\db_1\bin\imp.exe log=C:\DOCUME~1\ADMINI~1\LOCALS~1\Temp\plsimp.log file=C:\dqjz20130308.dmp userid=dqjz/dqjz@ORCL_232 buffer=30720 commit=no full=yes grants=yes ignore=yes indexes=yes rows=yes show=no constraints=yes
IMP-00058: 遇到 ORACLE 错误 6550
ORA-06550: 第 1 行, 第 33 列:
PLS-00302: 必须说明 'SET_NO_OUTLINES' 组件
ORA-06550: 第 1 行, 第 7 列:
PL/SQL: Statement ignored
IMP-00000: 未成功终止导入
Import finished on 2013-3-13 上午 11:13:03

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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



Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

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.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

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.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.
