1. Structural Analysis and Assumptions Assumptions: The platform requires user authentication (musicians and organizers), profiles, event listings, and a booking/application system. Given the "Medium" traffic expectation, a normalized relational structure will ensure data integrity while maintaining excellent read/write performance. Main Entities: User: Handles authentication for both roles (Musician, Organizer). MusicianProfile: Extended details for musicians (portfolio, genre). Event: Created by organizers, contains gig details. Application: The junction/transaction table linking a Musician to an Event. 2. Entity-Relationship Diagram (Mermaid.js) erDiagram USER ||--o| MUSICIAN_PROFILE : has USER ||--o{ EVENT : creates MUSICIAN_PROFILE ||--o{ APPLICATION : submits EVENT ||--o{ APPLICATION : receives USER { uuid id PK string email string password_hash string role timestamp created_at } MUSICIAN_PROFILE { uuid id PK uuid user_id FK string genre float hourly_rate } EVENT { uuid id PK uuid organizer_id FK string title date event_date string location } APPLICATION { uuid id PK uuid event_id FK uuid musician_id FK string status } ## 3\. Database Generation Code CREATE TYPE user_role AS ENUM ('musician', 'organizer'); CREATE TYPE application_status AS ENUM ('pending', 'accepted', 'rejected'); CREATE TABLE users ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), email VARCHAR(255) UNIQUE NOT NULL, password_hash VARCHAR(255) NOT NULL, role user_role NOT NULL, created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP, updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP ); CREATE TABLE musician_profiles ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), user_id UUID UNIQUE NOT NULL REFERENCES users(id) ON DELETE CASCADE, genre VARCHAR(100) NOT NULL, hourly_rate DECIMAL(10, 2), created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP ); CREATE TABLE events ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), organizer_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE, title VARCHAR(255) NOT NULL, event_date DATE NOT NULL, location VARCHAR(255) NOT NULL, created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP ); CREATE TABLE applications ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), event_id UUID NOT NULL REFERENCES events(id) ON DELETE CASCADE, musician_id UUID NOT NULL REFERENCES musician_profiles(id) ON DELETE CASCADE, status application_status DEFAULT 'pending', created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP, UNIQUE(event_id, musician_id) -- Prevents double applying ); -- Performance Indexes CREATE INDEX idx_users_email ON users(email); CREATE INDEX idx_events_organizer ON events(organizer_id); CREATE INDEX idx_applications_event_musician ON applications(event_id, musician_id); ## 4\. Security and Scalability Recommendations Row-Level Security (RLS): Implement PostgreSQL RLS so organizers can only query and modify events/applications they own, preventing horizontal privilege escalation. Data Minimization & Encryption: Ensure password_hash uses strong algorithms (like Argon2 or bcrypt). If physical addresses or payment details are added later, implement column-level encryption (pgcrypto) to comply with GDPR. Connection Pooling: Since traffic is "Medium", set up PgBouncer to manage database connections efficiently and prevent the database from being overwhelmed during traffic spikes (e.g., weekend evenings when gigs are happening).