This project is a custom SQL-like database that includes a variety of fundamental data structures and algorithms to handle data storage, querying, and manipulation. The project has been implemented with custom-made functions for parsing, queue management, and tree structures, all aimed at emulating the core functionalities of a SQL database.

• B+ Tree: Implementation of B+ Tree for indexing.
• Doubly Linked Lists: Functions for managing linked lists.
• Parser: SQL parser for parsing query commands.
• Queue: Queue implementation used in query processing.
• Shunting Yard: Shunting Yard algorithm for converting SQL queries into a format that can be executed by the database engine.
• SQL: Core logic for SQL-like query execution.
• Table: Table data structure to manage rows and columns of the database.
• Tokenizer: Tokenizer to break down SQL queries into tokens for easier processing.

• student.bin, student1.bin, ...: Binary files storing serialized student data.
• student.txt, student1.txt, ...: Text files storing human-readable student data.

1. Clone the repository to your local machine:

   git clone https://github.com/yourusername/sql-project.git
   

1. Console-based interactive sql interface where user can enter simple SQL command lines in an acceptable format.
2. Use the SQL-like query interface to perform operations such as make table,select, insert into, from, where on the tables.
3. The database supports simple queries with logical and relational operations.
4. Data can be exported back into text or binary format.

• SQL-like Query Execution: Supports basic SQL commands for interacting with data.
• Custom Data Structures: Implemented B+ Trees, Linked Lists, Stacks, and Queues.
• Persistence: Data can be stored and retrieved in both binary and text formats.

• Support for JOIN operations across tables.
• Remove stored data.

This project is licensed under the MIT License.