Async API

📂 Imagine you have an API that allows users to upload CSV files. The problem is that the uploaded file might contain +1 million records 😱.

⏳ Each uploaded file could take 1-5 minutes to process. If you implement a synchronous REST API that waits for the processing to finish before responding, it will significantly impact the user experience 🥴. Not to mention the issues caused if they refresh or upload the file again.

🤔 So, how can you handle this?

You can implement an async API 🚀.

🔍 What is an async API?

With this approach:

1️⃣ The Server Responds Immediately ✅When a file is uploaded, the server only validates that the file has been received, then quickly responds without fully processing the data at that moment.

2️⃣ Process the Data in the Background 🛠️The uploaded data will be added to a queue or handed over to a worker running asynchronously on the server.

3️⃣ Provide an Endpoint to Track Progress 🔄Users can check the processing status via another endpoint, such as whether the file is still being processed, completed, or failed.

🎯 **The Result?**The system becomes more efficient ⚡, the server isn't overloaded 🖥️, and users don’t have to wait for a long time ⏱️.

Async API is the solution for handling heavy tasks while delivering a better user experience 💡.