近期为公司的一个项目数据库进行了转换,将Oracle的Db转换为SqlServer(2000或2005均可),一开始在网上找了一些资料,发现有个工具叫SwisSql的,尝试了一下,没成功,继续查找.后来经同事提醒,使用SqlServer的导入和导出工具,尝试一下,确实可以转换.操作步骤如下所
近期为公司的一个项目数据库进行了转换,将Oracle的Db转换为SqlServer(2000或2005均可),一开始在网上找了一些资料,发现有个工具叫SwisSql的,尝试了一下,没成功,继续查找.后来经同事提醒,使用SqlServer的导入和导出工具,尝试一下,确实可以转换.操作步骤如下所述.
所需要的环境比较简单,就是本机可以同时连接Oracle和SqlServer即就,注意:这里不必为Oracle数据库建立ODBC,采用直连方式即可,需要新建一个SqlServer数据库,用于加载Oracle的数据.下面以SqlServer2005为例
l 步骤1
打开Sqlserver,如图-1,选中目标数据库,右键->任务->导入数据
图-1
l 步骤2:
选择”导入数据”菜单,会出现向导,点击下一步,出现如图-2所示界面
图-2
这里要说明下,最好选择”MicroSoft OLE DB Provider for Oracle方式,选择另外一种方式导入数据时会报错.
输入服务器名称和用户密码,测试成功后,一定要勾选”允许保存密码”
l 步骤3
此步骤就是选择目标数据库,如图-3所示
图-3
步骤4
导入数据有两种方式,一种方式是可视化选择Db表或视图;另一种方式是通过sql语句实现,一般批量导入选择第一种方式
图-4
l 步骤5
此步骤就是选择我们需要导入的Db对象,如图-5所示
图-5
这里说明一下,如果oracle中表的列数据类型没有匹配成功,可以直接点击”编辑”按钮,直接编辑即可
选择好导入Db对象以后,点击”下一步”或”完成”,就开始导入.一般来说,如果数据比较正常,不是特殊的Oracle数据,都是可以导入的.
下面说下我操作过程中遇到的问题,希望给大家有所提醒
1. 导入以后的Db表,可能主键或外键会丢失,需要我们自己去创建主键,自己写sql语法实现就好了.
2. Oracle中blob或clob类型的数据,在此处是无法导入的,需要我们手工写代码导入.比如表A,我们可以先用上述方法将非blog或clob字段的数据导进来,然后写代码,执行update语句,将字段值写入其中即可
3. 如果数据格式不符合条件,也不是不可以的,比如日期型字段,oracle中可能这样也会存储0200-9-12,导入时这行数据就会报错,因为不符合日期类型格式,需要调整.
4. Oracle转换至SqlServer2000或SqlServer2005,所产生的结果是不一样的,这个大家要注意.应该说,2005比2000要更加精确,无论是对数据还是对表结构
总之,这次导入还是比较顺利的,更重要的是比较简单,比使用第三方工具要方便很多,因此,有些需求的朋友推荐此方法

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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