1. 在quot;Configuration and Migration Toolsquot;中选择quot;Enterprise Manager Configuration Assistantquot;;创建quot
1. 在"Configuration and Migration Tools"中选择"Enterprise Manager Configuration Assistant";
创建"档案资料库":
(1) 配置本地OMS;
(2) 创建新的档案资料库;
(3) ★建议采用"自定义"方式(无需创建新数据库);
(4) "档案资料库放在何处?": 建议选择"在现有的其他数据库中";
(5) 以DBA身份的用户登录到数据库中, 其中"服务"项输入Oracle的SID;★【6688电子商务网站 】
2. 运行"Enterprise Manager Console", 并选择"登录到OMS";
管理员: sysman(默认)★
口 令: oem_temp(默认)★
ManagementServer: localhost或主机名
★注意: 登录之前确保OracleOraHome90ManagementServer服务已启动, 登录成功立即修改密码;
3. 成功登录OMS后, 使用"搜索向导"搜索结点, 以便显示数据库等结点项;
★注意: 搜索之前要确保racleOraHome90Agent服务已启动;
搜索的结点名称输入机器名或localhost;
4. 在OEM中单击数据库结点, 使用system/manager登录;
5. 在"配置"菜单中选择"首选项", 然后配置"首选身份证明";
(1) 选择第3步中搜索到的结点(机器名或localhost);
(2) 用户名: OS的登录名(目前我的登录名是: administrator)★
口 令: OS的登录密码
★注意: 必须在"控制面板"->"本地安全设置"->"本地策略"->"用户权利指派"->"作为批处理作业登录"
项目中添加OS登录名才可实现数据导出/导入.
[以上5步配置完成即可进行数据的导出与导入操作]
★注意: 以上配置对于数据的导出和导入操作可以正常进行;
如果选择数据库"备份管理"中的"备份"或"恢复操作时",
应采用sys/change_on_install以sysdba角色登录数据库服务器,
同时配置"首选身份证明"的数据库登录用户为: sys/change_on_install/sysdba;
否则无法进行备份与恢复操作.
--------------------------------------------------------------------------------------------
使用命令行的方式导入/导出数据
--------------------------------------------------------------------------------------------
1. 运行CMD, 使用EXP命令导出数据;(注意: 导出的数据文件位于当前命令行所指示的路径下)
2. 使用IMP导入数据;
如果Scott用户无法导入数据(提示权限不足), 可使用system用户登录"Enterprise Manager Console",
赋予Scott用户DBA角色即可.
★注意: imp命令运行时提示输入的用户名和密码即为将要导入数据的目标用户;

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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