Build a solution that enables real-time synchronization of data between a Google Sheet and a specified database (e.g., MySQL, PostgreSQL). The solution should detect changes in the Google Sheet and update the database accordingly, and vice versa.
Many businesses use Google Sheets for collaborative data management and databases for more robust and scalable data storage. However, keeping the data synchronised between Google Sheets and databases is often a manual and error-prone process. Your task is to develop a solution that automates this synchronisation, ensuring that changes in one are reflected in the other in real-time.
- Real-time Synchronisation
- Implement a system that detects changes in Google Sheets and updates the database accordingly.
- Similarly, detect changes in the database and update the Google Sheet.
- CRUD Operations
- Ensure the system supports Create, Read, Update, and Delete operations for both Google Sheets and the database.
- Maintain data consistency across both platforms.
- Conflict Handling
- Develop a strategy to handle conflicts that may arise when changes are made simultaneously in both Google Sheets and the database.
- Provide options for conflict resolution (e.g., last write wins, user-defined rules).
- Scalability:
- Ensure the solution can handle large datasets and high-frequency updates without performance degradation.
- Optimize for scalability and efficiency.
The timeline for this submission is: Next 2 days
Some things you might want to take care of:
- Make use of git and commit your steps!
- Use good coding practices.
- Write beautiful and readable code. Well-written code is nothing less than a work of art.
- Use semantic variable naming.
- Your code should be organized well in files and folders which is easy to figure out.
- If there is something happening in your code that is not very intuitive, add some comments.
- Add to this README at the bottom explaining your approach (brownie points 😋)
- Use ChatGPT4o/o1/Github Co-pilot, anything that accelerates how you work 💪🏽.
Make sure you finish the assignment a little earlier than this so you have time to make any final changes.
Once you're done, make sure you record a video showing your project working. The video should NOT be longer than 120 seconds. While you record the video, tell us about your biggest blocker, and how you overcame it! Don't be shy, talk us through, we'd love that.
We have a checklist at the bottom of this README file, which you should update as your progress with your assignment. It will help us evaluate your project.
- [*] My code's working just fine! 🥳
- [*] I have recorded a video showing it working and embedded it in the README
▶️ - [*] I have tested all the normal working cases 😎
- [*] I have even solved some edge cases (brownie points) 💪
- [*] I added my very planned-out approach to the problem at the end of this README 📜
Feel free to check the discussions tab, you might get some help there. Check out that tab before reaching out to us. Also, did you know, the internet is a great place to explore? 😛
We're available at [email protected] for all queries.
All the best ✨.
Hi 👋! The implementation is specific to google sheets and MySQL using python. The problem statement presented a very benefical usecase, and I found out a lot of products are available in the market to solve this on a larger scale. Google even has node support for this application!
In this repository, is my take on the same.
prerequisites: python 3.8 or above installed, MySQL server installed
- run
python -m pip install -r requirements.txt - Configure the variables.env with your MySQL server credentials and sheet_id.
- Configure the Credentials.json with your google cloud details, for more specifications see here.
- Run basetable.sql in your MySQL database.
- You are all set!
- execute
python main.pyand the you will have your connection!
Link to video ➡️: [🔗] (https://drive.google.com/file/d/13qoSB5MhUInSsnRPfnhRSUhYtZu7Ufg3/view?usp=sharing)
Features planned but not completed due to time constraints: ⏫
- API listeners (Flast/FastAPI) for changes.
- Object relational mapping using SQL alchemy
The project was super fun to build! Thank you for this opportunity 😊