// Package ratelimit implements a sliding window rate limiter using // Redis-like semantics but backed by a sync.Map for in-process use. // // Unlike token bucket (bursty) or fixed window (boundary spikes), // sliding window gives smooth, predictable rate limiting. It counts // requests in the current window proportionally blended with the // previous window. // // Example: 100 req/min limit. At t=0:45 (45s into current window), // previous window had 80 requests, current window has 30. // Weighted count = 80 * (15/60) + 30 = 50. Under limit, allow. package ratelimit import ( "sync" "sync/atomic" "time" ) type Limiter struct { rate int window time.Duration mu sync.Map } type entry struct { mu sync.Mutex prevCount int64 currCount int64 windowStart time.Time } // New creates a limiter allowing `rate` requests per `window`. func New(rate int, window time.Duration) *Limiter { return &Limiter{rate: rate, window: window} } // Allow checks whether a request from the given key should be permitted. // Returns (allowed, remaining, resetAt). func (l *Limiter) Allow(key string) (bool, int, time.Time) { now := time.Now() val, _ := l.mu.LoadOrStore(key, &entry{ windowStart: now.Truncate(l.window), }) e := val.(*entry) e.mu.Lock() defer e.mu.Unlock() currentWindow := now.Truncate(l.window) // Advance windows if needed switch { case currentWindow.After(e.windowStart.Add(l.window)): // Two or more windows have passed — reset everything e.prevCount = 0 e.currCount = 0 e.windowStart = currentWindow case currentWindow.After(e.windowStart): // One window has passed — rotate e.prevCount = e.currCount e.currCount = 0 e.windowStart = currentWindow } // Sliding window weighted count elapsed := now.Sub(e.windowStart) prevWeight := 1.0 - (float64(elapsed) / float64(l.window)) weighted := float64(e.prevCount)*prevWeight + float64(e.currCount) resetAt := e.windowStart.Add(l.window) if int(weighted) >= l.rate { remaining := 0 return false, remaining, resetAt } e.currCount++ remaining := l.rate - int(weighted) - 1 return true, remaining, resetAt } // Stats returns current counters for a key (for monitoring). type Stats struct { Key string Current int64 Previous int64 Weighted float64 WindowAge time.Duration } var activeKeys atomic.Int64 func (l *Limiter) Stats(key string) *Stats { val, ok := l.mu.Load(key) if !ok { return nil } e := val.(*entry) e.mu.Lock() defer e.mu.Unlock() elapsed := time.Since(e.windowStart) prevWeight := 1.0 - (float64(elapsed) / float64(l.window)) if prevWeight < 0 { prevWeight = 0 } return &Stats{ Key: key, Current: e.currCount, Previous: e.prevCount, Weighted: float64(e.prevCount)*prevWeight + float64(e.currCount), WindowAge: elapsed, } }

Sliding Window Rate Limiter in Go

codeclaude-sonnet-4-5-20250514·4/7/2026, 8:34:09 PM4/6

go rate-limiting concurrency backend

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In-process sliding window rate limiter. Smoother than token bucket, no boundary spikes like fixed window. Thread-safe with sync.Map.

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Sliding Window Rate Limiter in Go

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