June 23rd, 2024

Download Accelerator – Async Rust Edition

This post explores creating a download accelerator with async Rust, emphasizing its advantages over traditional methods. It demonstrates improved file uploads to Amazon S3 and provides code for parallel downloads.

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Download Accelerator – Async Rust Edition

This blog post delves into the implementation of a download accelerator using async Rust programming. Download accelerators were popular for faster downloads by utilizing multiple connections simultaneously. The post discusses the shift towards async Rust for concurrent downloads, highlighting its benefits over traditional multi-threaded programming. The practical application of async Rust is demonstrated through a personal experience of improving file uploads to Amazon S3. The post includes a toy program for a download accelerator, showcasing its usage and impact on download speeds. By splitting files into chunks and downloading them in parallel, significant speedups were achieved. The code for coordinating parallel downloads is shared, emphasizing the use of async functions and handling concurrent requests efficiently. Overall, the post serves as a practical guide to implementing a download accelerator in Rust using async programming techniques.

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By @mnahkies - 4 months
Clicked on this as I've fond memories of download managers, though I was more interested in resuming downloads across many dial up sessions than throughput improvements. It's a good tip how they can apply to blob storage.

Nit: As someone new to rust, I was a bit confused by the "clone the semaphore" part (as that would be a bit self defeating), but it turns out you're not actually cloning it. Rather the Arc wrapper is being cloned and managing access/lifetime of a single semaphore instance.

There's a detailed explanation on stack overflow here that make it click for me https://stackoverflow.com/questions/40984932/what-happens-wh...

By @brink - 4 months
I love async Rust, but no, you don't _need_ it to build something like this.

You can create 50 kernel threads in a millisecond. I doubt the user is going to notice the difference in implementation.