Geit 3341 Database I Lab 9geit 3341 Database Ilab 9database Design Usi ✓ Solved

GEIT 3341 DATABASE I LAB 9 GEIT 3341 Database I Lab 9 Database Design using ERDPlus II Due Date: Objective(s) Target CLO(s) Reference To practice Entity Relationship (ER) 1 Instructor Demo modeling of Chapter 12 by using a Chapter 12 tool called ERDPlus to 1) Graphically create E-R diagrams based on business rules. AND 2) Generate the database by automatically generating complete DDL scripts. ID Name Section GEIT 3341 DATABASE I LAB 9 Instructions: Use the ERDPlus tool to create an ER for a car dealership. The dealership sells both new and used cars. Base your design on the following business rules: – A salesperson is identified by a salesperson 9 alphanumeric character id and has a first and last name. – A salesperson may sell many cars, but each car is sold by only one salesperson. – A car is identified by a 5 alphanumeric character id and has a 17 alphanumeric character serial number, make, model, color, and year. – A customer is identified by a 5 alphanumeric character id, and has first and last name, phone number, address, and a 6 alphanumeric character postal code. – A customer may buy many cars, but each car is bought by only one customer. – A salesperson writes a single invoice for each car he or she sells. – A customer gets an invoice for each car he or she buys. – An invoice is identified by an invoice 5 alphanumeric character id, invoice date and an invoice total. – A customer may come in just to have his or her car serviced; that is, a customer need not buy a car to be classified as a customer. – When a customer takes one or more cars in for repair or service, one service ticket is written for each car. – A service ticket is identified by a 5 alphanumeric character id, date received, comments, and date returned back to customer. – The car dealership maintains a service history for each of the cars serviced.

The service records are referenced by the car’s serial number. – A car brought in for service can be worked on by many mechanics, and each mechanic may work on many cars. GEIT 3341 DATABASE I LAB 9 – A mechanic is identified by a 5 alphanumeric character id, and has a first and last name. – A car that is serviced may or may not need parts (e.g., adjusting a carburetor or cleaning a fuel injector nozzle does not require providing new parts). – A part is identified by a 5 alphanumeric character id, and has a name and price. Your diagram should look like the one shown in Figure 1 below: Figure 1: ER Diagram What you need to hand in: 1. Using the Export Image… option of MENU (see Figure 2), generate an image for the diagram (which will be in a PNG format) and hand in this image. (8 points) 2. Using the Generate SQL option (see Figure 3), generate the DDL, click on the Copy button, copy this script into a Notepad/Word file and hand in this file. (2 points) Figure 2: Export Image Option GEIT 3341 DATABASE I LAB 9 Figure 3: Generate SQL Option

Paper for above instructions

Assignment Solution: Car Dealership Database Design using ERDPlus

Introduction

In the realm of database design, an Entity Relationship Diagram (ERD) plays a crucial role in visually representing data structures and their relationships in a systematic manner. This document outlines the design of a database for a car dealership, illustrating the various entities involved and their interactions, based on the provided business rules. The ERD is created using the ERDPlus tool, followed by the generation of Data Definition Language (DDL) scripts for database implementation.

Business Model Overview

The car dealership operates by selling both new and used cars. The key entities identified for this database system include Salesperson, Car, Customer, Invoice, Service Ticket, Mechanic, and Part. Below are the detailed characteristics of these entities according to the specified business rules:
1. Salesperson:
- Attributes: `salesperson_id` (5 alphanumeric), `first_name`, `last_name`
- Relationship:
- A salesperson may sell many cars (one-to-many relationship with Car).
2. Car:
- Attributes: `car_id` (5 alphanumeric), `serial_number` (17 alphanumeric), `make`, `model`, `color`, `year`
- Relationships:
- Each car is sold by one salesperson (many-to-one relationship with Salesperson).
- Each car is bought by one customer (many-to-one relationship with Customer).
- A car may have many service tickets (one-to-many relationship with Service Ticket).
- A car may need many mechanics for service (many-to-many relationship with Mechanic).
3. Customer:
- Attributes: `customer_id` (5 alphanumeric), `first_name`, `last_name`, `phone_number`, `address`, `postal_code` (6 alphanumeric)
- Relationships:
- A customer may buy many cars (one-to-many relationship with Car).
- A customer can get many invoices (one-to-many relationship with Invoice).
- A customer may have many service tickets (one-to-many relationship with Service Ticket).
4. Invoice:
- Attributes: `invoice_id` (5 alphanumeric), `invoice_date`, `invoice_total`
- Relationships:
- Each invoice is associated with one car and one customer (many-to-one relationship with Car and Customer).
5. Service Ticket:
- Attributes: `service_ticket_id` (5 alphanumeric), `date_received`, `comments`, `date_returned`
- Relationships:
- Each service ticket is associated with one car (many-to-one relationship with Car).
- Each service ticket may involve multiple mechanics (many-to-many relationship with Mechanic).
6. Mechanic:
- Attributes: `mechanic_id` (5 alphanumeric), `first_name`, `last_name`
- Relationships:
- A mechanic can work on many cars (many-to-many relationship with Car).
7. Part:
- Attributes: `part_id` (5 alphanumeric), `name`, `price`
- Relationship:
- A part can be associated with many service tickets (one-to-many relationship with Service Ticket).

Entity Relationship Diagram (ERD)

The ERD can be illustrated in ERDPlus based on the business rules described above. The entities and their relationships can be visually represented as follows:
- Salesperson ————>[ Sells ]————> Car
- Customer ————>[ Buys ]————> Car
- Car ————>[ Generates ]————> Invoice
- Customer ————>[ Receives ]————> Invoice
- Car ————>[ Has ]————> Service Ticket
- Service Ticket <————[ Involves ]———— Mechanic
- Service Ticket ————>[ May Include ]————> Part
(Refer to ERDPlus for graphical representation).

Database Schema Generation (DDL)

Upon generating the DDL scripts using ERDPlus, the following SQL schema is created, representing the construction of our database:
```sql
CREATE TABLE Salesperson (
salesperson_id VARCHAR(5) PRIMARY KEY,
first_name VARCHAR(50),
last_name VARCHAR(50)
);
CREATE TABLE Car (
car_id VARCHAR(5) PRIMARY KEY,
serial_number VARCHAR(17),
make VARCHAR(50),
model VARCHAR(50),
color VARCHAR(20),
year INT,
salesperson_id VARCHAR(5),
FOREIGN KEY (salesperson_id) REFERENCES Salesperson(salesperson_id)
);
CREATE TABLE Customer (
customer_id VARCHAR(5) PRIMARY KEY,
first_name VARCHAR(50),
last_name VARCHAR(50),
phone_number VARCHAR(15),
address VARCHAR(100),
postal_code VARCHAR(6)
);
CREATE TABLE Invoice (
invoice_id VARCHAR(5) PRIMARY KEY,
invoice_date DATE,
invoice_total DECIMAL(10, 2),
car_id VARCHAR(5),
customer_id VARCHAR(5),
FOREIGN KEY (car_id) REFERENCES Car(car_id),
FOREIGN KEY (customer_id) REFERENCES Customer(customer_id)
);
CREATE TABLE Service_Ticket (
service_ticket_id VARCHAR(5) PRIMARY KEY,
date_received DATE,
comments TEXT,
date_returned DATE,
car_id VARCHAR(5),
FOREIGN KEY (car_id) REFERENCES Car(car_id)
);
CREATE TABLE Mechanic (
mechanic_id VARCHAR(5) PRIMARY KEY,
first_name VARCHAR(50),
last_name VARCHAR(50)
);
CREATE TABLE Part (
part_id VARCHAR(5) PRIMARY KEY,
name VARCHAR(50),
price DECIMAL(10, 2)
);
CREATE TABLE Mechanic_Service_Ticket (
mechanic_id VARCHAR(5),
service_ticket_id VARCHAR(5),
PRIMARY KEY (mechanic_id, service_ticket_id),
FOREIGN KEY (mechanic_id) REFERENCES Mechanic(mechanic_id),
FOREIGN KEY (service_ticket_id) REFERENCES Service_Ticket(service_ticket_id)
);
```

Conclusion

The database design for a car dealership, as exemplified in this assignment, encapsulates the essential aspects needed for operational efficiency. Through the utilization of an ERD, we establish a structural framework that enhances clarity regarding entity attributes and their relationships. The generated DDL provides a foundational schema for database implementation, paving the way for effective data management and operational success within the dealership business model.

References

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