예제 #1
0
파일: util.go 프로젝트: Q-Lee/kubernetes
// RegisterMetricAndTrackRateLimiterUsage registers a metric ownerName_rate_limiter_use in prometheus to track
// how much used rateLimiter is and starts a goroutine that updates this metric every updatePeriod
func RegisterMetricAndTrackRateLimiterUsage(ownerName string, rateLimiter flowcontrol.RateLimiter) error {
	err := registerRateLimiterMetric(ownerName)
	if err != nil {
		return err
	}
	go wait.Forever(func() {
		metricsLock.Lock()
		defer metricsLock.Unlock()
		rateLimiterMetrics[ownerName].Set(rateLimiter.Saturation())
	}, updatePeriod)
	return nil
}
예제 #2
0
// SwapLimiter safely swaps current limiter for this queue with the passed one if capacities or qps's differ.
func (q *RateLimitedTimedQueue) SwapLimiter(newQPS float32) {
	q.limiterLock.Lock()
	defer q.limiterLock.Unlock()
	if q.limiter.QPS() == newQPS {
		return
	}
	var newLimiter flowcontrol.RateLimiter
	if newQPS <= 0 {
		newLimiter = flowcontrol.NewFakeNeverRateLimiter()
	} else {
		newLimiter = flowcontrol.NewTokenBucketRateLimiter(newQPS, evictionRateLimiterBurst)
	}
	// If we're currently waiting on limiter, we drain the new one - this is a good approach when Burst value is 1
	// TODO: figure out if we need to support higher Burst values and decide on the drain logic, should we keep:
	// - saturation (percentage of used tokens)
	// - number of used tokens
	// - number of available tokens
	// - something else
	for q.limiter.Saturation() > newLimiter.Saturation() {
		// Check if we're not using fake limiter
		previousSaturation := newLimiter.Saturation()
		newLimiter.TryAccept()
		// It's a fake limiter
		if newLimiter.Saturation() == previousSaturation {
			break
		}
	}
	q.limiter.Stop()
	q.limiter = newLimiter
}