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runtime/pprof: fix block profile bias

Block profiles were biased towards infrequent long events over frequent
short events. This fix corrects the bias by aggregating shorter events
as longer but less frequent in the profiles. As a result their
cumulative duration will be accurately represented in the profile
without skewing their sample mean (duration/count).

Credit to @dvyukov for suggesting to adjust the count in the
saveblockevent function.

Fixes #44192.

Change-Id: I71a99d7f6ebdb2d484d44890a2517863cceb4004
Reviewed-on: https://go-review.googlesource.com/c/go/+/299991
Trust: Michael Pratt <mpratt@google.com>
Trust: Ian Lance Taylor <iant@golang.org>
Run-TryBot: Michael Pratt <mpratt@google.com>
TryBot-Result: Go Bot <gobot@golang.org>
Reviewed-by: Michael Pratt <mpratt@google.com>
This commit is contained in:
Felix Geisendörfer 2021-02-26 14:41:19 +01:00 committed by Michael Pratt
parent 8e0023b81b
commit 0ae9c3b98b
2 changed files with 95 additions and 10 deletions

View File

@ -133,7 +133,7 @@ func (a *memRecordCycle) add(b *memRecordCycle) {
// A blockRecord is the bucket data for a bucket of type blockProfile,
// which is used in blocking and mutex profiles.
type blockRecord struct {
count int64
count float64
cycles int64
}
@ -398,20 +398,23 @@ func blockevent(cycles int64, skip int) {
if cycles <= 0 {
cycles = 1
}
if blocksampled(cycles) {
saveblockevent(cycles, skip+1, blockProfile)
rate := int64(atomic.Load64(&blockprofilerate))
if blocksampled(cycles, rate) {
saveblockevent(cycles, rate, skip+1, blockProfile)
}
}
func blocksampled(cycles int64) bool {
rate := int64(atomic.Load64(&blockprofilerate))
// blocksampled returns true for all events where cycles >= rate. Shorter
// events have a cycles/rate random chance of returning true.
func blocksampled(cycles, rate int64) bool {
if rate <= 0 || (rate > cycles && int64(fastrand())%rate > cycles) {
return false
}
return true
}
func saveblockevent(cycles int64, skip int, which bucketType) {
func saveblockevent(cycles, rate int64, skip int, which bucketType) {
gp := getg()
var nstk int
var stk [maxStack]uintptr
@ -422,8 +425,15 @@ func saveblockevent(cycles int64, skip int, which bucketType) {
}
lock(&proflock)
b := stkbucket(which, 0, stk[:nstk], true)
b.bp().count++
b.bp().cycles += cycles
if which == blockProfile && cycles < rate {
// Remove sampling bias, see discussion on http://golang.org/cl/299991.
b.bp().count += float64(rate) / float64(cycles)
b.bp().cycles += rate
} else {
b.bp().count++
b.bp().cycles += cycles
}
unlock(&proflock)
}
@ -454,7 +464,7 @@ func mutexevent(cycles int64, skip int) {
// TODO(pjw): measure impact of always calling fastrand vs using something
// like malloc.go:nextSample()
if rate > 0 && int64(fastrand())%rate == 0 {
saveblockevent(cycles, skip+1, mutexProfile)
saveblockevent(cycles, rate, skip+1, mutexProfile)
}
}
@ -656,7 +666,12 @@ func BlockProfile(p []BlockProfileRecord) (n int, ok bool) {
for b := bbuckets; b != nil; b = b.allnext {
bp := b.bp()
r := &p[0]
r.Count = bp.count
r.Count = int64(bp.count)
// Prevent callers from having to worry about division by zero errors.
// See discussion on http://golang.org/cl/299991.
if r.Count == 0 {
r.Count = 1
}
r.Cycles = bp.cycles
if raceenabled {
racewriterangepc(unsafe.Pointer(&r.Stack0[0]), unsafe.Sizeof(r.Stack0), getcallerpc(), funcPC(BlockProfile))

View File

@ -14,6 +14,7 @@ import (
"internal/profile"
"internal/testenv"
"io"
"math"
"math/big"
"os"
"os/exec"
@ -24,6 +25,7 @@ import (
"sync/atomic"
"testing"
"time"
_ "unsafe"
)
func cpuHogger(f func(x int) int, y *int, dur time.Duration) {
@ -895,6 +897,74 @@ func blockCond() {
mu.Unlock()
}
// See http://golang.org/cl/299991.
func TestBlockProfileBias(t *testing.T) {
rate := int(1000) // arbitrary value
runtime.SetBlockProfileRate(rate)
defer runtime.SetBlockProfileRate(0)
// simulate blocking events
blockFrequentShort(rate)
blockInfrequentLong(rate)
var w bytes.Buffer
Lookup("block").WriteTo(&w, 0)
p, err := profile.Parse(&w)
if err != nil {
t.Fatalf("failed to parse profile: %v", err)
}
t.Logf("parsed proto: %s", p)
il := float64(-1) // blockInfrequentLong duration
fs := float64(-1) // blockFrequentShort duration
for _, s := range p.Sample {
for _, l := range s.Location {
for _, line := range l.Line {
if len(s.Value) < 2 {
t.Fatal("block profile has less than 2 sample types")
}
if line.Function.Name == "runtime/pprof.blockInfrequentLong" {
il = float64(s.Value[1])
} else if line.Function.Name == "runtime/pprof.blockFrequentShort" {
fs = float64(s.Value[1])
}
}
}
}
if il == -1 || fs == -1 {
t.Fatal("block profile is missing expected functions")
}
// stddev of bias from 100 runs on local machine multiplied by 10x
const threshold = 0.2
if bias := (il - fs) / il; math.Abs(bias) > threshold {
t.Fatalf("bias: abs(%f) > %f", bias, threshold)
} else {
t.Logf("bias: abs(%f) < %f", bias, threshold)
}
}
// blockFrequentShort produces 100000 block events with an average duration of
// rate / 10.
func blockFrequentShort(rate int) {
for i := 0; i < 100000; i++ {
blockevent(int64(rate/10), 1)
}
}
// blockFrequentShort produces 10000 block events with an average duration of
// rate.
func blockInfrequentLong(rate int) {
for i := 0; i < 10000; i++ {
blockevent(int64(rate), 1)
}
}
// Used by TestBlockProfileBias.
//go:linkname blockevent runtime.blockevent
func blockevent(cycles int64, skip int)
func TestMutexProfile(t *testing.T) {
// Generate mutex profile