LexGlu / test_smart

Design of database for sports web portal and data manipulation script (SQL + Python)

Setup and requirements

• Clone the repository
• Create a virtual environment by running python3 -m venv venv
• Activate the virtual environment by running source venv/bin/activate
• Run pip install -r requirements.txt to install the dependencies for task2

Task 1

Description of the database and scripts in accordance with the task1

• Task1 description is available in the task1 directory task1.docx
• ER diagram is available in the task1 directory ERD.pdf and via link (interactive): https://dbdiagram.io/d/64773a59722eb774942440cb
• DB schema is available in the task1 directory db_schema.png
• SQL scripts that create tables, keys, and constraints in the database are here create_tables.sql
• SQL scripts that populate the tables with sample data are here insert_data.sql
• SQL scripts for the stored procedures are here stored_procedures.sql
• SQL scripts for 10 KPIs are here kpi.sql

Deploying the database via docker-compose

1. Navigate to the task1 directory by running cd task1
2. Run docker-compose up -d to start the database container
3. Execute docker exec -it sqlserver bash /usr/src/app/scripts/init_db.sh to initialize the database, this will create the database (sports_web_portal) and tables (DDL scripts) and populate them with sample data (DML scripts).
4. The database is now ready to be used, the connection parameters are:
   • Host: localhost (or db if running from a docker container)
   • Port: 1433
   • Username: sa
   • Password: VeryStrongPassword123
5. To stop the database container, run docker-compose down -v

Task 2

• Task2 description is available in the task2 directory task2.docx
• Python script that reads data from CSV files via pyspark dataframe is here task2.py

Running the script

1. Navigate to the task2 directory by running cd task2
2. Run python3 task2.py to run the script
3. The script will write results CSV files located in subdirectories of task2 (task2/task2_domain_fraction and task2/task2_people_count_by_company).