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optimize: simplify breaker algorithm (#4151)
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@ -11,15 +11,12 @@ import (
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const (
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// 250ms for bucket duration
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window = time.Second * 10
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buckets = 40
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maxFailBucketsToDecreaseK = 30
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minBucketsToSpeedUp = 3
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forcePassDuration = time.Second
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k = 1.5
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minK = 1.1
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recoveryK = 4 - k
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protection = 5
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window = time.Second * 10
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buckets = 40
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forcePassDuration = time.Second
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k = 1.5
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minK = 1.1
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protection = 5
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)
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// googleBreaker is a netflixBreaker pattern from google.
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@ -56,13 +53,8 @@ func newGoogleBreaker() *googleBreaker {
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func (b *googleBreaker) accept() error {
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var w float64
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history := b.history()
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if history.failingBuckets >= minBucketsToSpeedUp {
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w = b.k - float64(history.failingBuckets-1)*(b.k-minK)/maxFailBucketsToDecreaseK
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w = mathx.AtLeast(w, minK)
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} else {
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w = b.k
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}
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weightedAccepts := w * float64(history.accepts)
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w = b.k - (b.k-minK)*float64(history.failingBuckets)/buckets
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weightedAccepts := mathx.AtLeast(w, minK) * float64(history.accepts)
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// https://landing.google.com/sre/sre-book/chapters/handling-overload/#eq2101
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// for better performance, no need to care about the negative ratio
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dropRatio := (float64(history.total-protection) - weightedAccepts) / float64(history.total+1)
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@ -76,11 +68,7 @@ func (b *googleBreaker) accept() error {
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return nil
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}
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// If we have more than 2 working buckets, we are in recovery mode,
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// the latest bucket is the current one, so we ignore it.
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if history.workingBuckets >= minBucketsToSpeedUp {
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dropRatio /= recoveryK
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}
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dropRatio *= float64(buckets-history.workingBuckets) / buckets
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if b.proba.TrueOnProba(dropRatio) {
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return ErrServiceUnavailable
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@ -127,7 +127,7 @@ func TestGoogleBreakerMoreFallingBuckets(t *testing.T) {
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b := getGoogleBreaker()
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func() {
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stopChan := time.After(testInterval * minBucketsToSpeedUp * 2)
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stopChan := time.After(testInterval * 6)
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for {
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time.Sleep(time.Millisecond)
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select {
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