https://github.com/marta-barea/library-system-sql
This repository contains a SQL project for managing a fictional library system, built with MySQL. It is designed to explore complex querying using realistic book-related data.
https://github.com/marta-barea/library-system-sql
library-management-system mysql mysql-database sql
Last synced: 3 months ago
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This repository contains a SQL project for managing a fictional library system, built with MySQL. It is designed to explore complex querying using realistic book-related data.
- Host: GitHub
- URL: https://github.com/marta-barea/library-system-sql
- Owner: Marta-Barea
- License: gpl-3.0
- Created: 2025-06-26T15:25:00.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-06-26T15:31:05.000Z (3 months ago)
- Last Synced: 2025-06-26T16:39:23.861Z (3 months ago)
- Topics: library-management-system, mysql, mysql-database, sql
- Language: Makefile
- Homepage:
- Size: 24.4 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# SQL Project - Training Center Database
This repository contains a SQL project for managing a fictional **library system**, built with MySQL. It is designed to explore complex querying using realistic book-related data.
---
# How to use
1. Clone the repository
```bash
git clone https://github.com/yourusername/library-system-sql.git
cd library-system-sql
```
2. Set your credentials in .env
Create a file named `.env` with your database credentials:
```dotenv
MYSQL_ROOT_PASSWORD=your_password
MYSQL_PORT=mysql_port_here
MYSQL_HOST=127.0.0.1
MYSQL_DATABASE=training_centers
MYSQL_USER=your_user
MYSQL_PASSWORD=your_password
```
3. Start de Project
Make sure [Docker](https://www.docker.com) is running, then run:
```bash
docker-compose up -d
make all-insert
```
This will:
- Launch a MySQL 8.0 container
- Create the database
- Generate the schema
- Insert fictional data
- Run all queries in `queries/`
- Export results as .csv files in `results/`
# Requirements
- [Docker](https://www.docker.com/products/docker-desktop)
- [Docker Compose](https://docs.docker.com/compose/)
- `make`(preinstalled on macOS/Linux)
# Project Structure
```
library-system-sql/
├── .env
├── .gitignore
├── docker-compose.yml
├── Makefile
├── README.md
│ ├── create_tables.sql
│ ├── insert_sample_data.sql
│ └── ...
├── queries/
│ ├── 01_complete_catalogue.sql
│ ├── 02_top_users.sql
│ ├── 03_top_cities.sql
│ ├── ...
└── results/
├── 01_complete_catalogue.csv
├── 02_top_users.csv
├── 03_top_cities.csv
└── ...
```
# Queries Overview
| Query | Description |
|----------------------------------------|----------------------------------------------------------------|
| `01_complete_catalogue.sql` | Displays full catalogue of books with their corresponding authors |
| `02_top_users.sql` | Ranks users by total number of loans |
| `03_top_cities.sql` | Ranks cities based on loan activity |
| `04_books_by_return_days.sql` | Calculates how long each book took to be returned |
| `05_books_not_returned.sql` | Lists books currently not returned |
| `06_most_loaned_books.sql` | Ranks books by number of loans |
| `07_top_loaned_authors.sql` | Ranks authors based on total number of loans |
| `08_authors_books_not_loaned.sql` | Lists authors of books that are still on loan |
| `09_book_loans_with_first_last.sql` | Shows first and last loan dates per book with loan count rank |
# Notes
All data is fictional and anonymized.