mirror of
https://github.com/DataDog/go-profiler-notes.git
synced 2026-06-21 00:46:51 +08:00
86 lines
1.6 KiB
Go
86 lines
1.6 KiB
Go
package main
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import (
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"fmt"
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"os"
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"runtime"
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"runtime/pprof"
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"time"
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"golang.org/x/sync/errgroup"
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)
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func main() {
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if err := run(); err != nil {
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fmt.Fprintln(os.Stderr, err)
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os.Exit(1)
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}
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}
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func run() error {
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runtime.SetBlockProfileRate(int((40 * time.Microsecond).Nanoseconds()))
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done := make(chan struct{})
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g := errgroup.Group{}
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g.Go(func() error {
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return eventA(done)
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})
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g.Go(func() error {
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return eventB(done)
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})
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time.Sleep(time.Second)
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close(done)
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if err := g.Wait(); err != nil {
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return err
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}
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f, err := os.Create("block.pb.gz")
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if err != nil {
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return err
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}
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defer f.Close()
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if err := pprof.Lookup("block").WriteTo(f, 0); err != nil {
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return err
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}
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return nil
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}
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func eventA(done chan struct{}) error {
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return simulateBlockEvents(20*time.Microsecond, done)
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}
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func eventB(done chan struct{}) error {
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return simulateBlockEvents(40*time.Microsecond, done)
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}
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const tolerance = 1.1
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func simulateBlockEvents(meanDuration time.Duration, done chan struct{}) error {
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var (
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prev time.Time
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sum time.Duration
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count int
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ticker = time.NewTicker(meanDuration)
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)
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defer ticker.Stop()
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for {
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select {
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case <-ticker.C:
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now := time.Now()
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if !prev.IsZero() {
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sum += now.Sub(prev)
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count += 1
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if count > 1000 {
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actualMean := float64(sum) / float64(count)
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max := tolerance * float64(meanDuration)
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min := float64(meanDuration) / tolerance
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if actualMean <= min || actualMean >= max {
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return fmt.Errorf("low clock accuracy: got=%s want=%s", time.Duration(actualMean), meanDuration)
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}
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}
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}
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prev = now
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case <-done:
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return nil
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}
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}
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}
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