CheesyChocolate / ScholarDB

ScholarDB is an educational database system

ScholarDB

ScholarDB is an educational database system designed to manage student enrollments, course materials, grades, and submissions within a learning management environment. It facilitates efficient data handling for educational institutions or platforms, promoting seamless management of academic resources and student interactions.

Usage

The database is designed to be used fully compatible with SQLite and MySQL.

Using script

move to the directory where the sql files are located and run the following command:

for Unix:

python ../scripts/makedb.py

for Windows:

python ..\scripts\makedb.py

Then follow the instructions.

Manual

MySQL

The sql file scholardb-schema.sql contains the database schema and sample data. To create the database, run the following command:

mysql -u root -p < scholardb-schema.sql

or in MySQL:

source scholardb-schema.sql

The sql file scholardb-data.sql contains sample data. To populate the database, run the following command:

mysql -u root -p < scholardb-data.sql

or in MySQL:

source scholardb-data.sql

SQLite

To use foreign key constraints in SQLite, run the following command:

PRAGMA foreign_keys = ON;

• The sql file scholardb-schema.sql contains the database schema and sample data. To create the database, run the following command:

sqlite3 scholardb.db < scholardb-schema.sql

or in SQLite:

.read scholardb-schema.sql

• The sql file scholardb-data.sql contains sample data. To populate the database, run the following command:

sqlite3 scholardb.db < scholardb-data.sql

or in SQLite:

.read scholardb-data.sql

Project Details

Database Schema (20 Points)

• Create 5-7 entities with 1:1, 1:M, and M:N relationships.
• Define primary keys for each table.
• Implement foreign keys using ON DELETE SET NULL and ON DELETE CASCADE.
• Populate each table with at least 20 tuples.

Simple Queries (35 Points)

• Insert 3 tuples into different tables.
• Insert 5 tuples into the same table.
• Update 3 tuples in different tables.
• Delete 3 tuples in different tables.
• Add CHECK constraint.
• Create 3 queries using WHERE clause and comparison operators.
• Create 3 queries using WHERE clause and arithmetic operators.
• Create 3 queries using WHERE clause and logical operators.
• Create 3 queries using special operators (BETWEEN, IS NULL, LIKE, IN, EXISTS).
• Create 3 queries using ORDER BY clause.
• Create 3 queries using DISTINCT clause.
• Create 3 queries using String Functions.
• Create 3 queries using Numeric Functions.
• Create 3 queries using Date Functions.
• Create 3 queries using aggregate functions (COUNT, MIN, MAX, SUM, AVG).
• Use LIMIT clause.
• Use ROLLUP.

Queries by Grouping (10 Points)

• Create 3 queries using GROUP BY clause.
• Create 3 queries using aggregate functions (COUNT, MIN, MAX, SUM, AVG).
• Create 3 queries using HAVING clause.

Advanced Queries (35 Points)

• Create a query using LEFT JOIN.
• Create a query using RIGHT JOIN.
• Create 3 queries joining 2 tables.
• Create 3 queries joining 3 tables.
• Create 3 queries with subqueries in WHERE clause.
• Create 3 queries with subqueries in SELECT columns.
• Copy one table's structure and data to a new table.
• Create a VIEW.
• Create a stored procedure and call it.
• Create 3 triggers and provide examples for their execution.