# claude17/football-ticket-booking-system_database-design-sql-queries architecture
> Architecture diagram of the GitHub repository claude17/football-ticket-booking-system_database-design-sql-queries, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-06-28). It is an AI-made overview: check details against the source.
- Interactive diagram: https://gitdiagram.com/claude17/football-ticket-booking-system_database-design-sql-queries
- Repository: https://github.com/claude17/football-ticket-booking-system_database-design-sql-queries
## Overview
1. This repository is a database-centric design artifact for a Football Ticket Booking System. It does not contain an application layer or backend service; the main deliverables are the ERD description in `README.md` and the SQL query set in `QUERY.sql`.
2. The core data model has three entities: `Users`, `Matches`, and `Bookings`. These form the entire architectural boundary of the system, with `Bookings` acting as the transactional bridge between a fan and a match.
3. `Users` stores customer identity and contact data, plus a `role` field that suggests the model can distinguish different kinds of accounts, even though the repository does not implement role-based behavior.
4. `Matches` represents inventory for football events. It stores the fixture, competition category, ticket price, and availability/status, which together define what can be booked.
5. `Bookings` is the operational table where the purchase/reservation flow is recorded. It links to both `Users` and `Matches` through foreign keys, and also stores seat, payment state, and total cost, making it the key table for all booking-related reporting.
6. The main relationship pattern is one-to-many from `Users` to `Bookings`, and many-to-one from `Bookings` to `Matches`. Architecturally, this means a user can create multiple bookings, while each booking points to exactly one user and one match.
7. The README describes a logical one-to-one between a booking record and a specific seat reservation. That implies booking uniqueness is centered on seat allocation per match/user combination, although the actual enforcement rules are not visible in the repo.
8. The SQL file demonstrates common data-access patterns against this schema: filtering upcoming available matches, text search on users, null handling for incomplete payments, joins across all three tables, outer joins to preserve users with no bookings, aggregation via average comparison, and pagination via top-N/offset behavior.
9. The data flow is straightforward: match inventory is queried from `Matches`, user identity from `Users`, and then `Bookings` combines them to produce booking history, financial totals, and payment status views. Most reporting queries are centered on joining `Bookings` to the other two tables.
10. The project’s technology boundary is PostgreSQL SQL. There is no ORM, API server, frontend, or deployment infrastructure in the repository, so the architecture diagram should focus on the relational schema and the query/reporting layer rather than an application stack.
11. External tooling is minimal and documentation-oriented: Draw.io is used for the ERD diagram, and GitHub is only the hosting/version-control platform. The architectural emphasis is therefore on schema design, referential integrity, and query behavior, not on runtime components.
12. If drawing the system, the clearest view is: users browse/search matches, bookings tie users to matches, and queries extract operational reports from the joined tables. The repository models the data foundation for a ticket booking platform rather than the full platform itself.
Main entry points: [`README.md`](https://github.com/claude17/football-ticket-booking-system_database-design-sql-queries/blob/main/README.md) (README), [`QUERY.sql`](https://github.com/claude17/football-ticket-booking-system_database-design-sql-queries/blob/main/QUERY.sql) (SQL Queries)
## Diagram (Mermaid)
```mermaid
flowchart TD
subgraph group_schema["Core schema"]
node_users[("Users
table")]
node_matches[("Matches
table")]
node_bookings[("Bookings
table")]
end
subgraph group_artifacts["Repo artifacts"]
node_readme["README
erd docs
[README.md]"]
node_queries["SQL Queries
[QUERY.sql]"]
end
node_users -->|"1-to-many"| node_bookings
node_matches -->|"1-to-many"| node_bookings
node_bookings -->|"FK"| node_users
node_bookings -->|"FK"| node_matches
node_readme -.->|"describes"| node_users
node_readme -.->|"describes"| node_matches
node_readme -.->|"describes"| node_bookings
node_queries -.->|"reads"| node_users
node_queries -.->|"reads"| node_matches
node_queries -.->|"joins"| node_bookings
click node_readme "https://github.com/claude17/football-ticket-booking-system_database-design-sql-queries/blob/main/README.md"
click node_queries "https://github.com/claude17/football-ticket-booking-system_database-design-sql-queries/blob/main/QUERY.sql"
classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_users,node_matches,node_bookings toneBlue
class node_readme,node_queries toneAmber
```
## Components
### Core schema
Relational model for the ticket booking domain.
- **Users**: table · Customer identity, contact data, and role metadata.
- **Matches**: table · Football fixtures, competition category, ticket price, and availability.
- **Bookings**: table · Transactional booking records linking a user to a match with seat and payment state.
### Repo artifacts
Documentation and SQL query set that describe and exercise the schema.
- [README](https://github.com/claude17/football-ticket-booking-system_database-design-sql-queries/blob/main/README.md): erd docs · ERD and domain explanation for the database design. · `README.md`
- [SQL Queries](https://github.com/claude17/football-ticket-booking-system_database-design-sql-queries/blob/main/QUERY.sql): postgresql queries · Reporting and data-access patterns over the booking schema. · `QUERY.sql`
## Connections
- Users → Bookings: 1-to-many · A user can have many bookings.
- Matches → Bookings: 1-to-many · A match can be referenced by many bookings.
- Bookings → Users: FK · Each booking points to one user.
- Bookings → Matches: FK · Each booking points to one match.
- README → Users: describes · Documentation defines the customer entity.
- README → Matches: describes · Documentation defines the match inventory entity.
- README → Bookings: describes · Documentation defines the transactional booking entity.
- SQL Queries → Users: reads · Queries filter and search user data.
- SQL Queries → Matches: reads · Queries select upcoming and available matches.
- SQL Queries → Bookings: joins · Queries combine bookings with users and matches for reporting.