function rateLimit<TFn>(fn, initialOptions): (...args) => boolean

function rateLimit<TFn>(fn, initialOptions): (...args) => boolean

Defined in: rate-limiter.ts:404

Creates a rate-limited function that will execute the provided function up to a maximum number of times within a time window.

Note that rate limiting is a simpler form of execution control compared to throttling or debouncing:

• A rate limiter will allow all executions until the limit is reached, then block all subsequent calls until the window resets
• A throttler ensures even spacing between executions, which can be better for consistent performance
• A debouncer collapses multiple calls into one, which is better for handling bursts of events

The rate limiter supports two types of windows:

• 'fixed': A strict window that resets after the window period. All executions within the window count towards the limit, and the window resets completely after the period.
• 'sliding': A rolling window that allows executions as old ones expire. This provides a more consistent rate of execution over time.

State Management:

• Uses TanStack Store for reactive state management
• Use initialState to provide initial state values when creating the rate limiter
• Use onExecute callback to react to function execution and implement custom logic
• Use onReject callback to react to executions being rejected when rate limit is exceeded
• The state includes execution count, execution times, and rejection count
• State can be accessed via the underlying RateLimiter instance's store.state property
• When using framework adapters (React/Solid), state is accessed from the hook's state property

Consider using throttle() or debounce() if you need more intelligent execution control. Use rate limiting when you specifically need to enforce a hard limit on the number of executions within a time period.

• TFn extends AnyFunction

TFn

RateLimiterOptions<TFn>

Function

Attempts to execute the rate-limited function if within the configured limits. Will reject execution if the number of calls in the current window exceeds the limit.

...Parameters<TFn>

boolean

const rateLimiter = new RateLimiter(fn, { limit: 5, window: 1000 });

// First 5 calls will return true
rateLimiter.maybeExecute('arg1', 'arg2'); // true

// Additional calls within the window will return false
rateLimiter.maybeExecute('arg1', 'arg2'); // false

const rateLimiter = new RateLimiter(fn, { limit: 5, window: 1000 });

// First 5 calls will return true
rateLimiter.maybeExecute('arg1', 'arg2'); // true

// Additional calls within the window will return false
rateLimiter.maybeExecute('arg1', 'arg2'); // false

// Rate limit to 5 calls per minute with a sliding window
const rateLimited = rateLimit(makeApiCall, {
  limit: 5,
  window: 60000,
  windowType: 'sliding',
  onReject: (rateLimiter) => {
    console.log(`Rate limit exceeded. Try again in ${rateLimiter.getMsUntilNextWindow()}ms`);
  }
});

// First 5 calls will execute immediately
// Additional calls will be rejected until the minute window resets
rateLimited();

// For more even execution, consider using throttle instead:
const throttled = throttle(makeApiCall, { wait: 12000 }); // One call every 12 seconds

// Rate limit to 5 calls per minute with a sliding window
const rateLimited = rateLimit(makeApiCall, {
  limit: 5,
  window: 60000,
  windowType: 'sliding',
  onReject: (rateLimiter) => {
    console.log(`Rate limit exceeded. Try again in ${rateLimiter.getMsUntilNextWindow()}ms`);
  }
});

// First 5 calls will execute immediately
// Additional calls will be rejected until the minute window resets
rateLimited();

// For more even execution, consider using throttle instead:
const throttled = throttle(makeApiCall, { wait: 12000 }); // One call every 12 seconds