本文主要是介绍系统分析与设计第五次作业,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!
- a. 阅读 Asg_RH 文档,按用例构建领域模型。
- 按 Task2 要求,请使用工具 UMLet,截图格式务必是 png 并控制尺寸
- 按 Task2 要求,请使用工具 UMLet,截图格式务必是 png 并控制尺寸
- b. 数据库建模(E-R 模型)
- 按 Task 3 要求,给出系统的 E-R 模型(数据逻辑模型)
- 导出 Mysql 物理数据库的脚本
- 按 Task 3 要求,给出系统的 E-R 模型(数据逻辑模型)
drop table if exists Customer;drop table if exists hotel;drop table if exists location;drop table if exists request;drop table if exists reservation;drop table if exists room;drop table if exists "room-desc";drop table if exists "shopping-busket";/*==============================================================*/
/* Table: Customer */
/*==============================================================*/
create table Customer
(name text null,"phone number" text null,email text null,id integer not null,constraint PK_CUSTOMER primary key clustered (id)
);/*==============================================================*/
/* Table: hotel */
/*==============================================================*/
create table hotel
(name text not null,star binary null,"hot index" integer null,address text null,constraint PK_HOTEL primary key clustered (name)
);/*==============================================================*/
/* Table: location */
/*==============================================================*/
create table location
(id integer null,region text null,city text null,town text null
);/*==============================================================*/
/* Table: request */
/*==============================================================*/
create table request
(id integer not null,"customer id" integer null,destination text null,"check out date" date null,"number of night" integer null,constraint PK_REQUEST primary key clustered (id)
);/*==============================================================*/
/* Table: reservation */
/*==============================================================*/
create table reservation
(id integer not null,"hotel name" text null,city text null,"check in date" date null,"check out date" date null,"room type" text null,"number of rooms" integer null,constraint PK_RESERVATION primary key clustered (id)
);/*==============================================================*/
/* Table: room */
/*==============================================================*/
create table room
(id integer not null,num integer null,data integer null,constraint PK_ROOM primary key clustered (id)
);/*==============================================================*/
/* Table: "room-desc" */
/*==============================================================*/
create table "room-desc"
(type text not null,"day price" float null,"room id" integer null,constraint "PK_ROOM-DESC" primary key clustered (type)
);/*==============================================================*/
/* Table: "shopping-busket" */
/*==============================================================*/
create table "shopping-busket"
(id integer not null,"customer id" integer null,"reservation id" integer null,constraint "PK_SHOPPING-BUSKET" primary key clustered (id)
);alter table requestadd constraint FK_REQUEST_REFERENCE_CUSTOMER foreign key ("customer id")references Customer (id)on update restricton delete restrict;alter table reservationadd constraint FK_RESERVAT_REFERENCE_HOTEL foreign key ("hotel name")references hotel (name)on update restricton delete restrict;alter table reservationadd constraint "FK_RESERVAT_REFERENCE_ROOM-DES" foreign key ("room type")references "room-desc" (type)on update restricton delete restrict;alter table "room-desc"add constraint "FK_ROOM-DES_REFERENCE_ROOM" foreign key ("room id")references room (id)on update restricton delete restrict;alter table "shopping-busket"add constraint FK_SHOPPING_REFERENCE_CUSTOMER foreign key ("customer id")references Customer (id)on update restricton delete restrict;alter table "shopping-busket"add constraint FK_SHOPPING_REFERENCE_RESERVAT foreign key ("reservation id")references reservation (id)on update restricton delete restrict;
- 简单叙说 数据库逻辑模型 与 领域模型 的异同
- 相同点:两种模型都是描述实体、实体拥有的属性以及实体之间的关系。
- 不同点:领域建模更加注重的是业务领域的内容,表达能力更强;而数据库逻辑模型更加具体,描述了属性的类型、表的主键、表之间的约束等问题。
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