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Use math/rand/v2
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@ -8,7 +8,7 @@ import (
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"context"
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"fmt"
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"math"
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"math/rand"
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"math/rand/v2"
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"runtime"
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"runtime/debug"
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"sort"
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@ -181,7 +181,7 @@ func (p *processor) exec() {
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// Sleep to avoid slamming redis and let scheduler move tasks into queues.
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// Note: We are not using blocking pop operation and polling queues instead.
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// This adds significant load to redis.
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jitter := time.Duration(rand.Intn(int(p.taskCheckInterval)))
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jitter := rand.N(p.taskCheckInterval)
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time.Sleep(p.taskCheckInterval/2 + jitter)
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<-p.sema // release token
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return
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@ -413,8 +413,7 @@ func (p *processor) queues() []string {
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names = append(names, qname)
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}
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}
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r := rand.New(rand.NewSource(time.Now().UnixNano()))
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r.Shuffle(len(names), func(i, j int) { names[i], names[j] = names[j], names[i] })
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rand.Shuffle(len(names), func(i, j int) { names[i], names[j] = names[j], names[i] })
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return uniq(names, len(p.queueConfig))
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}
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@ -9,7 +9,7 @@ import (
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"errors"
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"fmt"
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"math"
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"math/rand"
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"math/rand/v2"
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"runtime"
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"strings"
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"sync"
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@ -400,9 +400,8 @@ func toInternalLogLevel(l LogLevel) log.Level {
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// DefaultRetryDelayFunc is the default RetryDelayFunc used if one is not specified in Config.
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// It uses exponential back-off strategy to calculate the retry delay.
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func DefaultRetryDelayFunc(n int, e error, t *Task) time.Duration {
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r := rand.New(rand.NewSource(time.Now().UnixNano()))
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// Formula taken from https://github.com/mperham/sidekiq.
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s := int(math.Pow(float64(n), 4)) + 15 + (r.Intn(30) * (n + 1))
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s := int(math.Pow(float64(n), 4)) + 15 + (rand.IntN(30) * (n + 1))
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return time.Duration(s) * time.Second
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}
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