https://github.com/chizuru-nina-yamauchi/event-scheduling

https://github.com/chizuru-nina-yamauchi/event-scheduling

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• Host: GitHub
• URL: https://github.com/chizuru-nina-yamauchi/event-scheduling
• Owner: chizuru-nina-yamauchi
• Created: 2024-03-13T14:04:39.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-03-13T14:10:52.000Z (8 months ago)
• Last Synced: 2024-03-20T17:36:48.599Z (8 months ago)
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# event-scheduling

# Assignment: Events Scheduling Database Design

## Objective

Design a PostgreSQL database for an event scheduling application. This database will incorporate advanced data types to manage events, attendees, venues, and more. You are expected to create a schema that includes 8 tables, each with at least 5 records. Additionally, you will write 10 queries to demonstrate how to interact with the database effectively.

## Database Schema

### Tables Overview

1. **Events**

2. **Attendees**

3. **Venues**

4. **Organizers**

5. **Event_Schedules**

6. **Tickets**

7. **Reviews**

8. **User_Preferences**

### Table Definitions

1. **Events**

    - event_id: UUID

    - title: TEXT

    - description: JSONB

    - venue_id: UUID (FK)

    - organizer_id: UUID (FK)

    - schedule: tsrange

2. **Attendees**

    - attendee_id: UUID

    - name: TEXT

    - email: TEXT

    - preferences: JSONB

    - tickets: UUID[]

3. **Venues**

    - venue_id: UUID

    - name: TEXT

    - location: JSONB

    - capacity: INTEGER

    - contact_info: TEXT[]

4. **Organizers**

    - organizer_id: UUID

    - name: TEXT

    - contact_info: JSONB

5. **Event_Schedules**

    - schedule_id: UUID

    - event_id: UUID (FK)

    - start_time: TIMESTAMPTZ

    - end_time: TIMESTAMPTZ

    - description: TEXT

6. **Tickets**

    - ticket_id: UUID

    - event_id: UUID (FK)

    - attendee_id: UUID (FK)

    - price: NUMERIC

    - status: ENUM ('available', 'sold', 'reserved')

7. **Reviews**

    - review_id: UUID

    - event_id: UUID (FK)

    - attendee_id: UUID (FK)

    - rating: ENUM ('poor', 'fair', 'good', 'excellent')

    - comment: TEXT

8. **User_Preferences**

    - user_id: UUID (FK -> Attendees)

    - interests: TEXT[]

    - notifications_enabled: BOOLEAN

## Sample Records Insertion

For each table, insert at least 5 records. Here's an example for the **Events** table:

```sql

INSERT INTO events (event_id, title, description, venue_id, organizer_id, schedule) VALUES

('uuid-1', 'Tech Conference', '{"topics":["AI", "Cloud"]}', 'venue-uuid-1', 'org-uuid-1', '[2023-10-01 09:00, 2023-10-01 17:00]'),

('uuid-2', 'Music Festival', '{"genres":["Rock", "Pop"]}', 'venue-uuid-2', 'org-uuid-2', '[2023-08-05 12:00, 2023-08-05 23:00]');

```

## Queries

1. **Find all events happening in October 2023.**

2. **List attendees who have 'Music' as an interest.**

3. **Retrieve all venues with a capacity greater than 500.**

4. **Get the contact information for organizers of 'Tech Conference'.**

5. **Find all events with tickets still available.**

6. **List all reviews for a specific event, ordered by rating.**

7. **Update the schedule for an event.**

8. **Find attendees who have enabled notifications.**

9. **Retrieve the total number of tickets sold for each event.**

10. **List all events an attendee is going to, based on their ticket purchases.**

## Assignment Tasks

1. **Design the database schema**: Create the tables as defined above, ensuring proper data types and relationships are used.

2. **Insert sample data**: Populate each table with at least 5 records.

3. **Write queries**: Construct the 10 queries listed above to interact with the database.

## Submission Guidelines

- Submit the SQL scripts for creating tables, inserting data, and the queries.

- Include a diagram of the database schema showing tables, columns, and relationships.

- Ensure your queries are well-commented to explain their purpose and functionality.

This assignment will test your ability to design a comprehensive database schema using advanced PostgreSQL features and interact with the database through complex queries.