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exponential-rate-limit
Advanced tools
A small library which handles decaying exponential backoff. This is useful if you want to start throttling something whilst it is going wrong, but recover once things start working again.
A small library which handles decaying exponential backoff. This is useful if you want to start throttling something whilst it is going wrong, but recover once things start working again.
The demo source is in "demo.ts".
To run the demo locally run npm run start
.
It is also hosted here (thanks to Netify).
import { JobQueue, defaultDelayFunction } from './exponential-rate-limit';
const queue = new JobQueue({
/**
* The maximum time (seconds) between jobs executing.
*/
maxInterval: 5
/**
* The delay function.
*/
delayFunction: defaultDelayFunction
});
const { remove } = queue.enqueue(({ enqueueTime } => {
console.log('Executing', enqueueTime);
});
The following example implements throttledFetch
, which will start delaying future executions exponentially (up to the default 5 seconds) every time a request fails or does not respond with status 200.
Every time there is a 200 response, the delays will also start getting shorter again. As time passes without any jobs being executed, the delay the next job would incur also decreases.
import { JobQueue } from './exponential-rate-limit';
const jobQueue = new JobQueue(); // default options
function throttledFetch(...fetchArgs): Promise<Response> {
return new Promise((resolve) => {
jobQueue.enqueue(() => {
const fetchPromise = fetch(...fetchArgs);
resolve(fetchPromise);
return fetchPromise.then((response) => response.status === 200);
});
});
}
This can also be used in the browser thanks to jsDelivr:
<head>
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/exponential-rate-limit@1"></script>
<script type="text/javascript">
var queue = new ExponentialRateLimit.JobQueue();
</script>
</head>
FAQs
A small library which handles decaying exponential backoff. This is useful if you want to start throttling something whilst it is going wrong, but recover once things start working again.
We found that exponential-rate-limit demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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