exponential.go raw

   1  package backoff
   2  
   3  import (
   4  	"math/rand"
   5  	"time"
   6  )
   7  
   8  /*
   9  ExponentialBackOff is a backoff implementation that increases the backoff
  10  period for each retry attempt using a randomization function that grows exponentially.
  11  
  12  NextBackOff() is calculated using the following formula:
  13  
  14   randomized interval =
  15       RetryInterval * (random value in range [1 - RandomizationFactor, 1 + RandomizationFactor])
  16  
  17  In other words NextBackOff() will range between the randomization factor
  18  percentage below and above the retry interval.
  19  
  20  For example, given the following parameters:
  21  
  22   RetryInterval = 2
  23   RandomizationFactor = 0.5
  24   Multiplier = 2
  25  
  26  the actual backoff period used in the next retry attempt will range between 1 and 3 seconds,
  27  multiplied by the exponential, that is, between 2 and 6 seconds.
  28  
  29  Note: MaxInterval caps the RetryInterval and not the randomized interval.
  30  
  31  If the time elapsed since an ExponentialBackOff instance is created goes past the
  32  MaxElapsedTime, then the method NextBackOff() starts returning backoff.Stop.
  33  
  34  The elapsed time can be reset by calling Reset().
  35  
  36  Example: Given the following default arguments, for 10 tries the sequence will be,
  37  and assuming we go over the MaxElapsedTime on the 10th try:
  38  
  39   Request #  RetryInterval (seconds)  Randomized Interval (seconds)
  40  
  41    1          0.5                     [0.25,   0.75]
  42    2          0.75                    [0.375,  1.125]
  43    3          1.125                   [0.562,  1.687]
  44    4          1.687                   [0.8435, 2.53]
  45    5          2.53                    [1.265,  3.795]
  46    6          3.795                   [1.897,  5.692]
  47    7          5.692                   [2.846,  8.538]
  48    8          8.538                   [4.269, 12.807]
  49    9         12.807                   [6.403, 19.210]
  50   10         19.210                   backoff.Stop
  51  
  52  Note: Implementation is not thread-safe.
  53  */
  54  type ExponentialBackOff struct {
  55  	InitialInterval     time.Duration
  56  	RandomizationFactor float64
  57  	Multiplier          float64
  58  	MaxInterval         time.Duration
  59  	// After MaxElapsedTime the ExponentialBackOff returns Stop.
  60  	// It never stops if MaxElapsedTime == 0.
  61  	MaxElapsedTime time.Duration
  62  	Stop           time.Duration
  63  	Clock          Clock
  64  
  65  	currentInterval time.Duration
  66  	startTime       time.Time
  67  }
  68  
  69  // Clock is an interface that returns current time for BackOff.
  70  type Clock interface {
  71  	Now() time.Time
  72  }
  73  
  74  // ExponentialBackOffOpts is a function type used to configure ExponentialBackOff options.
  75  type ExponentialBackOffOpts func(*ExponentialBackOff)
  76  
  77  // Default values for ExponentialBackOff.
  78  const (
  79  	DefaultInitialInterval     = 500 * time.Millisecond
  80  	DefaultRandomizationFactor = 0.5
  81  	DefaultMultiplier          = 1.5
  82  	DefaultMaxInterval         = 60 * time.Second
  83  	DefaultMaxElapsedTime      = 15 * time.Minute
  84  )
  85  
  86  // NewExponentialBackOff creates an instance of ExponentialBackOff using default values.
  87  func NewExponentialBackOff(opts ...ExponentialBackOffOpts) *ExponentialBackOff {
  88  	b := &ExponentialBackOff{
  89  		InitialInterval:     DefaultInitialInterval,
  90  		RandomizationFactor: DefaultRandomizationFactor,
  91  		Multiplier:          DefaultMultiplier,
  92  		MaxInterval:         DefaultMaxInterval,
  93  		MaxElapsedTime:      DefaultMaxElapsedTime,
  94  		Stop:                Stop,
  95  		Clock:               SystemClock,
  96  	}
  97  	for _, fn := range opts {
  98  		fn(b)
  99  	}
 100  	b.Reset()
 101  	return b
 102  }
 103  
 104  // WithInitialInterval sets the initial interval between retries.
 105  func WithInitialInterval(duration time.Duration) ExponentialBackOffOpts {
 106  	return func(ebo *ExponentialBackOff) {
 107  		ebo.InitialInterval = duration
 108  	}
 109  }
 110  
 111  // WithRandomizationFactor sets the randomization factor to add jitter to intervals.
 112  func WithRandomizationFactor(randomizationFactor float64) ExponentialBackOffOpts {
 113  	return func(ebo *ExponentialBackOff) {
 114  		ebo.RandomizationFactor = randomizationFactor
 115  	}
 116  }
 117  
 118  // WithMultiplier sets the multiplier for increasing the interval after each retry.
 119  func WithMultiplier(multiplier float64) ExponentialBackOffOpts {
 120  	return func(ebo *ExponentialBackOff) {
 121  		ebo.Multiplier = multiplier
 122  	}
 123  }
 124  
 125  // WithMaxInterval sets the maximum interval between retries.
 126  func WithMaxInterval(duration time.Duration) ExponentialBackOffOpts {
 127  	return func(ebo *ExponentialBackOff) {
 128  		ebo.MaxInterval = duration
 129  	}
 130  }
 131  
 132  // WithMaxElapsedTime sets the maximum total time for retries.
 133  func WithMaxElapsedTime(duration time.Duration) ExponentialBackOffOpts {
 134  	return func(ebo *ExponentialBackOff) {
 135  		ebo.MaxElapsedTime = duration
 136  	}
 137  }
 138  
 139  // WithRetryStopDuration sets the duration after which retries should stop.
 140  func WithRetryStopDuration(duration time.Duration) ExponentialBackOffOpts {
 141  	return func(ebo *ExponentialBackOff) {
 142  		ebo.Stop = duration
 143  	}
 144  }
 145  
 146  // WithClockProvider sets the clock used to measure time.
 147  func WithClockProvider(clock Clock) ExponentialBackOffOpts {
 148  	return func(ebo *ExponentialBackOff) {
 149  		ebo.Clock = clock
 150  	}
 151  }
 152  
 153  type systemClock struct{}
 154  
 155  func (t systemClock) Now() time.Time {
 156  	return time.Now()
 157  }
 158  
 159  // SystemClock implements Clock interface that uses time.Now().
 160  var SystemClock = systemClock{}
 161  
 162  // Reset the interval back to the initial retry interval and restarts the timer.
 163  // Reset must be called before using b.
 164  func (b *ExponentialBackOff) Reset() {
 165  	b.currentInterval = b.InitialInterval
 166  	b.startTime = b.Clock.Now()
 167  }
 168  
 169  // NextBackOff calculates the next backoff interval using the formula:
 170  // 	Randomized interval = RetryInterval * (1 ± RandomizationFactor)
 171  func (b *ExponentialBackOff) NextBackOff() time.Duration {
 172  	// Make sure we have not gone over the maximum elapsed time.
 173  	elapsed := b.GetElapsedTime()
 174  	next := getRandomValueFromInterval(b.RandomizationFactor, rand.Float64(), b.currentInterval)
 175  	b.incrementCurrentInterval()
 176  	if b.MaxElapsedTime != 0 && elapsed+next > b.MaxElapsedTime {
 177  		return b.Stop
 178  	}
 179  	return next
 180  }
 181  
 182  // GetElapsedTime returns the elapsed time since an ExponentialBackOff instance
 183  // is created and is reset when Reset() is called.
 184  //
 185  // The elapsed time is computed using time.Now().UnixNano(). It is
 186  // safe to call even while the backoff policy is used by a running
 187  // ticker.
 188  func (b *ExponentialBackOff) GetElapsedTime() time.Duration {
 189  	return b.Clock.Now().Sub(b.startTime)
 190  }
 191  
 192  // Increments the current interval by multiplying it with the multiplier.
 193  func (b *ExponentialBackOff) incrementCurrentInterval() {
 194  	// Check for overflow, if overflow is detected set the current interval to the max interval.
 195  	if float64(b.currentInterval) >= float64(b.MaxInterval)/b.Multiplier {
 196  		b.currentInterval = b.MaxInterval
 197  	} else {
 198  		b.currentInterval = time.Duration(float64(b.currentInterval) * b.Multiplier)
 199  	}
 200  }
 201  
 202  // Returns a random value from the following interval:
 203  // 	[currentInterval - randomizationFactor * currentInterval, currentInterval + randomizationFactor * currentInterval].
 204  func getRandomValueFromInterval(randomizationFactor, random float64, currentInterval time.Duration) time.Duration {
 205  	if randomizationFactor == 0 {
 206  		return currentInterval // make sure no randomness is used when randomizationFactor is 0.
 207  	}
 208  	var delta = randomizationFactor * float64(currentInterval)
 209  	var minInterval = float64(currentInterval) - delta
 210  	var maxInterval = float64(currentInterval) + delta
 211  
 212  	// Get a random value from the range [minInterval, maxInterval].
 213  	// The formula used below has a +1 because if the minInterval is 1 and the maxInterval is 3 then
 214  	// we want a 33% chance for selecting either 1, 2 or 3.
 215  	return time.Duration(minInterval + (random * (maxInterval - minInterval + 1)))
 216  }
 217