Hi everyone! I'm still pretty new to the whole data pipeline world, and I've been trying to use Flux to handle some data ingestion from a few third-party APIs. One of them is... let's just say *very* particular about request limits. I got completely blocked (and my IP temporarily banned 😅) during my first attempt because I didn't respect their rate limits.
After a lot of trial and error (and many, many failed task runs), I think I've finally pieced together a working approach for setting up rate limiting directly within a Flux task. I wanted to share what I learned, and also ask if anyone has a better or more elegant way to do this.
My goal was to:
- Make calls to an API that allows 100 requests per minute.
- Space out the requests evenly to avoid hitting the limit.
- Handle the logic within the Flux task itself, without an external scheduler.
Here's the basic strategy I ended up using:
- I used the `rateLimit` function from the `contrib/patrick.rotn` package to create a fixed-delay between task executions.
- Inside my task loop, I calculated the delay needed based on the rate limit (e.g., 100 requests/minute = 1 request every 600ms).
- I wrapped the actual API call in a function that checks a simple timestamp-based "last called" variable.
The main pitfalls I ran into were:
* Forgetting to account for the initial request—my math was off and I started with a delay of zero.
* Not handling retries properly when I *did* hit a 429; I had to add a backoff jitter.
* My logs became huge because I was printing status for every single call (whoops).
Has anyone else set something like this up? I'm especially curious if there's a built-in pattern or a community package I missed that makes this cleaner. The documentation on this specific scenario felt a bit sparse to me.
Also, if you're dealing with a really aggressive API, how do you usually structure your pipeline tasks? Do you put the rate limiting logic in a separate, reusable task, or keep it bundled with each API call task?
Any advice or shared experiences would be super helpful! Still feeling a bit overwhelmed but grateful this community exists.
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