![]() ![]() ⏱️ Running Benchmark Sleep between requests, no retry ![]() The easiest way around a rate-limit is to delay requests so they fit within the specified window.įor example if an API allowed 6 requests over 3 seconds, the API will allow a request every 500ms and not fail ( 3000 / 6 = 500). Maybe you just want to get something working quickly without error. All examples will be in vanilla JavaScript. We'll finish with an example script you can use to run benchmarks against the API of your choice. This post will walk through a number of different implementations and the pros and cons of each. Handling these in an efficient manner is more complex than it seems. These rate-limits can be annoying to deal with, especially if you're working with a restrictive sandbox and trying to get something up and running quickly. Some companies provide an external module like GitHub's plugin-throttling package for their node clients. For example, Dropbox's node client does not implement throttling. Many language-specific SDKs and clients, even from major API providers, don't come with built-in rate-limit handling. If you exceed the specified rate-limits, their servers will reject your requests for a period of time, basically saying, "sorry we didn't process your request, please try again in 10 seconds." They say "you can only make X number of requests in Y seconds". Most APIs in the wild implement rate-limits.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |