MySQL to MongoDB Migration Tool

📌 Project Overview

This project is a MySQL to MongoDB Migration Tool built using Python and Streamlit. It allows users to migrate data from a MySQL database to a MongoDB database through an interactive web-based UI.

🏗 Architectural Components

• Frontend: Streamlit UI for user interaction
• Backend: Python scripts for data extraction, transformation, and migration
• Database: MySQL (source) and MongoDB (destination)

🚀 Features

• Connects to MySQL and fetches data
• Converts MySQL data into MongoDB-compatible format
• Inserts transformed data into MongoDB
• Interactive UI to input database details and trigger migration

📂 Project Structure

├── main.py   # Main application (Streamlit UI)
├── migrate.py         # Migration script
├── mysql_connector.py # MySQL connection and data fetching
├── mongo_connector.py # MongoDB connection and data insertion
├── schema_transform.py # Data transformation logic
├── requirements.txt   # Dependencies
└── README.md          # Project documentation

🛠 Installation & Setup

1️⃣ Install Dependencies

Ensure you have Python 3.x installed, then install the required libraries:

pip install -r requirements.txt

2️⃣ Start MySQL and MongoDB

Ensure both MySQL and MongoDB are running:

mysql -u root -p  # Start MySQL
mongod  # Start MongoDB

3️⃣ Run the Streamlit App

streamlit run main.py

This will launch a web-based UI where you can enter MySQL and MongoDB details to start migration.

📝 How to Use

1. Enter MySQL connection details (host, user, password, database)
2. Enter MongoDB connection details (host, port, database)
3. Click "Start Migration"
4. Wait for migration to complete and check MongoDB for the data

🔍 Verify Data in MongoDB

After migration, run:

mongo
use your_mongo_db
show collections
db.your_table_name.find().pretty()

🔒 Security Implementation

• Uses password masking in the UI for security
• Can be extended to support SSL for database connections
• Ensures date/time compatibility for MongoDB storage

📈 Scalability & Performance

• Batch Processing: Can be optimized to migrate large datasets in chunks
• Parallel Processing: Can use multithreading for faster execution
• Indexes in MongoDB: Ensures efficient queries after migration

🏁 Conclusion

This tool provides an easy-to-use, interactive solution for migrating data from MySQL to MongoDB. It ensures proper data transformation and smooth migration, making it useful for developers and database administrators.

---