ER Diagram for Movie Ticket Booking System
The ER diagram for movie ticket booking system shows the relationships of the system’s entities that build its database design. ER diagram describes the logical structure of the system’s database or data storage. It is done by identifying the online movie ticket booking process entities, their properties, and the interactions between them.
The online movie ticket booking system database design is sketched out using ER (entity-relationship) diagram. This sketch becomes the actual basis of the system’s data storage that will serve as data destination and source.
Movie Ticket Booking System ER Diagram: Details
The table shows the overall description of the ER Diagram for Movie Ticket Booking System. It has a complete overview of the project’s information.
| Name: | Movie Ticket Booking System ER Diagram |
| Abstract: | Online movie ticket booking system ER diagram depicts the relationship between various entities. It can be thought of as a blueprint for your system (project) structure. |
| Diagram: | ER Diagram is also known as Entity Relationship Diagram |
| Tools Used: | Diagraming tools that provide ER diagram symbols. |
| Users: | Rental Owner, System Admin, and Clients. |
| Designer: | ITSourceCode.com |
What is Movie Ticket Booking System?
A consumer can access a company’s services, reserve seats, and purchase tickets through an online movie ticketing system, which is a digital platform. This website offers information on a variety of topics, including movie times, seat availability, movie previews, and much more.
The user can easily access the services offered by the online movie ticket booking system as long as they have access to a phone or computer. Reduce Traffic – By making services easily accessible to clients, less people will come to buy tickets at the box office.
Online Movie Ticket Booking System Features
- Online Ticket Booking Management – Online Ticket Booking Management is the main feature of this system wherein ER diagram contains the basic details of the system. Its information was composed of the transactions done by the customers, and the accommodation available for ticket booking.
- Customer Management – This feature plays a big role in the system because this gathers important information about the customers. This information was used to track their transactions and other important matters regarding with the system.
- Manage Movies’ Information – The Movies’ information management was important for the system because it serves as the basis of the customers as they avail the bookings offered by the movie system. This information was monitored to keep the customers updated.
- Transaction and Booking Management – Its feature will store the bookings made by the customers as well as the date of the transaction. This will also save and update the accommodation based on the date requested by the customers.
What is an ER Diagram?
In DBMS, the ER Diagram of online movie ticket booking system is also known as the system’s database design. It is the graphical depiction of relationships between all the entities involved in the system. Its major components are Entities, Attributes, and Relationships.
To build and troubleshoot relational databases, the online movie ticket booking system ER Diagram is used. It works best with DFD (Data Flow Diagram), which is responsible for data movement. Developing the database design for movie ticket booking system would be much easier with the help of ER diagram.
Importance of ER Diagram
The importance of ER diagram for online movie ticket booking system is to help in modeling its data storage or database. It is the basis of the project’s database foundation for construction. The online movie ticket booking system entity-relationship diagram (ERD) also aids in defining the data types to be stored such as their attributes and characteristics.
All other real-world projects are presented with ER Diagrams (database designs). To display the details and attributes of a data store, the er diagram for online movie ticket booking system is used in conjunction with its data flow diagram. It visualizes how data is connected generically.
ERD (Entity-relationship diagram) is utilized in software engineering during the planning phase of software development. It aids in the identification of various system constituents and their interrelationships. Online Movie Ticket Booking System ERD is also used as the foundation of the movie ticket booking system DFD (Dataflow Diagram).
ER Diagram for Online Ticket Booking or Reservation System
ER Diagram of Online Ticket Booking System shows the system entity relationships in each entity and their supposed functions in each relationship.
Based on the image above, the Entity-Relationship diagram Online Ticket Booking tables consist of the following: admin, customer, ticket, bookings or reservation, transactions, and reports.
The tables are made to meet the required specification of the system and provide much more specific details of each entity within the system.
Online Movie Ticket Booking System Database Design
This Online Ticket Booking system database design was made based on managing booking requirements. The system can encode customers’ requests regarding ticket bookings. The system admin can access the customers’ status and information for booking transactions as well as handle and update the transactions made.
The features included in the system’s ER diagram were the security and monitoring of the ticket bookings and customers’ records, transactions, and status. These features were also listed and recorded in reports that served as the history of transactions done in the system.
Online Movie Ticket Booking System ER Diagram Tables
These tables below provide the complete database table details such as Field Name, Descriptions, data types, and character lengths. Each of these tables represents the characteristics and the attributes of data storage.
The field column presents the names of each database’s attributes, the description column gives the complete thought of each attribute, the type column is their data type and the length is for their character lengths.
Table Name: Customer
| Field | Description | Type | Length |
| stud_ID (PK) | Customer ID | Int | 11 |
| fname | Customer First Name | Varchar | 255 |
| lname | Customer Last Name | Varchar | 255 |
| gender | Customer Gender | Int | 11 |
| age | Customer Age | Int | 11 |
| contact_add | Contact Address | Int | 11 |
| cust_email | Customer Email | Varchar | 255 |
| cust_pass | Customer Password | Varchar | 255 |
Table Name: Admin
| Field | Description | Type | Length |
| admin_ID (PK) | Admin ID | Int | 11 |
| fname | Admin First Name | Varchar | 255 |
| lname | Admin Last Name | Varchar | 255 |
| gender | Admin Gender | Int | 11 |
| age | Admin Age | Int | 11 |
| contact_add | Contact Address | Int | 11 |
| admin_email | Admin Email | Varchar | 255 |
| admin_pass | Admin Password | Varchar | 255 |
Table Name: Ticket
| Field | Description | Type | Length |
| ticket_ID (PK) | Ticket ID | Int | 11 |
| ticket_number | Ticket Number | Int | 11 |
| accom_time | Accommodation Time | Time | |
| ticket_type | Ticket Type | Varchar | 30 |
| prize | Prize | Varchar | 30 |
| seat_number | Seat Number | Int | 11 |
Table Name: Booking or Reservation
| Field | Description | Type | Length |
| res_ID (PK) | Reservation ID | Int | 11 |
| ticket_ID (FK) | Ticket ID | ||
| cust_ID (FK) | Customer ID | Int | 11 |
| admin_ID (FK) | Admin ID | Int | 11 |
| res_date | Reservation ID | Int | 11 |
| duration | Duration | Varchar | 30 |
| time_start | Time Start | Time | |
| time_end | Time Ending | Time | |
| payment | Payment | Varchar | 30 |
Table Name: Transaction
| Field | Description | Type | Length |
| trans_ID (PK) | Transaction ID | Int | 11 |
| trans_name | Transaction Name | Varchar | 30 |
| ticket_ID (FK) | Ticket ID | Int | 11 |
| res_ID (FK) | Reservation ID | Int | 11 |
| cust_ID (FK) | Customer ID | Int | 11 |
| admin_ID (FK) | Admin ID | Int | 11 |
| trans_date | Date of Transaction | Date |
Table Name: Reports
| Field | Description | Type | Length |
| report_ID (PK) | Report ID | Int | 11 |
| trans_ID (FK) | Transaction ID | Int | 11 |
| res_ID (FK) | Reservation ID | Int | 11 |
| report_date | Report Date | Date |
The tables given will be the basis for developers on how would they do the online movie ticket booking system database design. It has the complete description of the database and they will put this into the program or data storage the same as the names given to each of the tables. They will create a database with the attributes given as well as the value of each attribute.
Online Movie Ticket Booking System ER Diagram [PDF]
The ER Diagram for Online Movie Ticket Booking System in DBMS Pdf provides the information explaining the concepts of the project database. You may apply this information to your capstone project. You can also use it directly or modify its content depending on your project’s requirements.
How to create an Entity-Relationship (ER) Diagram
Time needed: 5 minutes.
Steps in building the ER Diagram for Online Movie Ticket Booking System with Cardinality Ratio.
- Step 1: Familiarize the ER Diagram (Entity Relationship Diagram) Symbols and Cardinality
Entity Relationship Diagram – shows the structure of data types in a project. It uses symbols to clarify its parts and relationships. Their symbols and applications must be familiarized before you build the ER Diagram.
ER Diagram Symbols:
• Field – are the parts of a table that define the entity’s characteristics. In the database that the ERD models, attributes are commonly thought of as rows.
• Keys – is a technique to categorize data qualities. It is used to organize ER diagrams and assist users in modeling their databases to ensure that they are efficient. This is also used to connect different tables in a database.
– Primary Key: identifies a single entity instance which means a unique attribute or set of attributes.
– Foreign Key: is produced when data attributes have one too many relationships with other entities.
ER Diagram Cardinalities:
The styling of a line and its termination demonstrates cardinality and ordinality.
The greatest number of times an instance of one thing can be related to instances of another entity is referred to as cardinality.
While Ordinality refers to the fewest number of times a single entity instance can be linked to another. - Step 2: Finalize the entities included
Start designing your ER Diagram by finalizing the entities that must be included in your movie ticket booking system. This entity is represented by a rectangle, and you’ll want to leave plenty of room for them in future phases so you may add them to your design.
An entity set is a group of similar entities with shared properties. A table or a table’s attribute is an entity in a database management system. As a result, by depicting relationships between tables and their characteristics, an ER diagram displays the whole logical structure of a database. - Step 3: Add the attributes of each entity
After finalizing the entities, think about the qualities you’ll need to characterize each entity. The details of the various entities outlined in a conceptual ER diagram are supplied as attributes. Characteristics of an entity, a many-to-many relationship, or a one-to-one relationship are all examples of attributes. Multivalued attributes can be assigned to several values.
The entity’s attributes were represented by ovals and can be seen in the tables of the movie ticket booking system er diagram. These attributes can be a primary key or a foreign key in the database design of the project. Yoy ER diagram design could also be converted to the database of the system by declaring your right entities and their attributes. - Step 4: Describe the relationships (cardinality) between entities and attributes
To plot relationships between the ERD you will need the entities, their attributes, and relationships. You will base the data structure from the evaluated information to have the exact Entity Relationship Diagram.
A relationship is an association that describes how two entities interact. At the connector’s endpoints, the cardinality is indicated by a crow’s foot. One-to-one, one-to-many, and many-to-many are the three most common cardinal relationships. It’s the maximum number of times an instance of one entity can be linked to instances of another entity.
Conclusion:
ER (entity-relationship) diagram is only one of the diagrams used to design and develop the Online Movie Ticket Booking System. Each of the diagrams you design and create will help you in presenting your ideas and impart your abilities.
Creating the ER diagram will help you perceive the back end of the software which will hold all the data that’ll enter and exit the system. To learn more about the ER Diagrams and more, check out the related and recommended articles below.
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