数据库设计,是大题中必考的,当然,也是我们开发程序必不可少的,现在对数据库设计进行一下总结。 一、数据库设计阶段划分 首先,来张图,对数据库的设计流程有一个直观的认识 (1)需求分析 目标:通过调查研究,了解用户的需求要求和处理要求 成果:整理
数据库设计,是大题中必考的,当然,也是我们开发程序必不可少的,现在对数据库设计进行一下总结。
一、数据库设计阶段划分
首先,来张图,对数据库的设计流程有一个直观的认识
(1)需求分析
成果:整理形成需求说明书。以后设计的基础和依据。包括:数据库包含的数据、数据的特征、使用频率和数据
量的估计,例如:数据名、类型、数据的要求和使用量的大小等,通常使用数据字典进管理
(2)概念结构设计
(3)逻辑结构设计
结果:DBMS所提供的数据定义语言,所写成的数据模式
(4)物理设计
二、E-R模型
(1)包括:实体、属性、联系、联系的类型(数字)
(2)设计步骤:先设计局部的E-R图,之后进行合并(视图集成)。合并时着力消除各个局部ER图间的不一致
合并时局部ER图的冲突类型:
1)属性冲突:属性域的冲突和属性取值的冲突
2)命名冲突:同名异意,和异名同意
3)结构冲突:同一个对象在不同应用中不同的抽象,同一实体在不图中的属性个数等不完全相同
(3)局部E-R图设计步骤:确定局部视图的范围(例如与采购有有关的),识别局部的每个实体以及实体间的
联系反馈实体以及实体间联系的属性
E-R图向关系模式的转换:
1)一个实体转换为一个关系模式
2)一对一的联系,转化为一个独立的关系模式——属性:联系本身和与之相连的属性的码与任意一
端对应的关系模合并——属性: 加入两一个关系的码和 另一个关系的属性
3)一对多的关系。可以单独组成一个关系模式——各个实体的码和联系本身的属性。与n端合并——
加入另一端的码和联系本身的属性
4)多对多联系。只能转换为一个独立的关系模式。与联系相连的各个实体的码以及联系本身的属性
5)联系连接多个实体。和前四点相似

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MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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