0.3.1 • Published 11 months ago

@jupiterone/hierarchical-token-bucket v0.3.1

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@jupiterone/hierarchical-token-bucket

This project exports a HierarchicalTokenBucket class that can support nested rate limits. This should be used in client-side rate limiting strategies in order to honor rate limits that are composed in a nested structure. One such example is AWS API rate limits, which can be limited by an account-level, service-level, region-level, or API-level bucket.

The token bucket returns a numeric timeToWaitInMs from its primary interface, .take(). This allows the token bucket to remain synchronous, so it does not block other requests. Each caller is expected to honor the timeToWaitInMs returned from .take().

Returning a timeToWaitInMs when the bucket is already exhausted, rather than simply preventing the caller from take()ing a token and forcing it to re-call, essentially creates a lightweight FIFO queue where each caller invokes the interface just one time.

Usage:

import { HierarchicalTokenBucket } from '@jupiterone/hierarchical-token-bucket';

async function sleep(ms: number) {
  return new Promise(r => setTimeout(r, ms));
}

const parentBucket = new HierarchicalTokenBucket({
  maximumCapacity: 100,
  refillRate: 10
});

const childBucket = parentBucket.child({
  maximumCapacity: 10,
  refillRate: 1,
});

const timeToWaitInMs = childBucket.take();

await sleep(timeToWaitInMs);
await fetch('https://my.rate-limited.resource');

Alternately, this can be simplified by invoking withTokenBucket.

import { 
  HierarchicalTokenBucket,
  withTokenBucket
} from '@jupiterone/hierarchical-token-bucket';

const tokenBucket = new HierarchicalTokenBucket({
  maximumCapacity: 100,
  refillRate: 10
});

const cb = () => fetch('https://my.rate-limited.resource');
await withTokenBucket(tokenBucket, cb);

One can also specify a child without passing options, in which case maximumCapacity and refillRate are inherited from the parent bucket. This means that the child bucket will not limit usage any more than the parent bucket would, but it might be useful when instrumenting code for optional limiting.

Class: HierarchicalTokenBucket

new HierarchicalTokenBucket(params)

  • params.maximumCapacity {number} The total number of requests allowed when the bucket is full.
  • params.refillRate {number} The number of requests to add to the bucket per second. The bucket will never exceed maximumCapacity requests.

tokenBucket.take()

Takes a token from this and all parent token buckets. Returns the number of milliseconds that must elapse before attempting to redeem the token. Returns 0 if the token can be redeemed immediately.

Consumers need only call this function once, but may need to wait before redeeming their token.

const timeToWaitInMs = hierarchicalTokenBucket.take();

if (timeToWaitInMs > 0) {
  await new Promise(r => setTimeout(r, timeToWaitInMs));
}

await fetch('https://my.target.host/that/supports/throttling')

tokenBucket.metadata

Returns the token bucket metadata, including

  • options.maximumCapacity
  • options.refillRate
  • metrics.firstTakeTimestamp
  • metrics.takeCount

This metadata can be used to adjust the token bucket options in the event that a rate-limited request is encountered. For example:

try {
  const timeToWaitInMs = tokenBucket.take();
  await sleep(timeToWaitInMs);
  await client.request();
} catch (err) {
  if (isRateLimitError(err)) {
    const { options, metrics } = tokenBucket.metadata;
    logger.warn({
      maximumCapacity: options.maximumCapacity,
      refillRate: options.refillRate,
      firstTakeTimestamp: options.firstTakeTimestamp,
      takeCount: metrics.takeCount,
    }, 'Encountered rate limited request. Operator should adjust token bucket maximumCapacity or refillRate.');
  }
}