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runtime: don't burn CPU unnecessarily
Two GC-related functions, scang and casgstatus, wait in an active spin loop. Active spinning is never a good idea in user-space. Once we wait several times more than the expected wait time, something unexpected is happenning (e.g. the thread we are waiting for is descheduled or handling a page fault) and we need to yield to OS scheduler. Moreover, the expected wait time is very high for these functions: scang wait time can be tens of milliseconds, casgstatus can be hundreds of microseconds. It does not make sense to spin even for that time. go install -a std profile on a 4-core machine shows that 11% of time is spent in the active spin in scang: 6.12% compile compile [.] runtime.scang 3.27% compile compile [.] runtime.readgstatus 1.72% compile compile [.] runtime/internal/atomic.Load The active spin also increases tail latency in the case of the slightest oversubscription: GC goroutines spend whole quantum in the loop instead of executing user code. Here is scang wait time histogram during go install -a std: 13707.0000 - 1815442.7667 [ 118]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎... 1815442.7667 - 3617178.5333 [ 9]: ∎∎∎∎∎∎∎∎∎ 3617178.5333 - 5418914.3000 [ 11]: ∎∎∎∎∎∎∎∎∎∎∎ 5418914.3000 - 7220650.0667 [ 5]: ∎∎∎∎∎ 7220650.0667 - 9022385.8333 [ 12]: ∎∎∎∎∎∎∎∎∎∎∎∎ 9022385.8333 - 10824121.6000 [ 13]: ∎∎∎∎∎∎∎∎∎∎∎∎∎ 10824121.6000 - 12625857.3667 [ 15]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ 12625857.3667 - 14427593.1333 [ 18]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ 14427593.1333 - 16229328.9000 [ 18]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ 16229328.9000 - 18031064.6667 [ 32]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ 18031064.6667 - 19832800.4333 [ 28]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ 19832800.4333 - 21634536.2000 [ 6]: ∎∎∎∎∎∎ 21634536.2000 - 23436271.9667 [ 15]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ 23436271.9667 - 25238007.7333 [ 11]: ∎∎∎∎∎∎∎∎∎∎∎ 25238007.7333 - 27039743.5000 [ 27]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ 27039743.5000 - 28841479.2667 [ 20]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ 28841479.2667 - 30643215.0333 [ 10]: ∎∎∎∎∎∎∎∎∎∎ 30643215.0333 - 32444950.8000 [ 7]: ∎∎∎∎∎∎∎ 32444950.8000 - 34246686.5667 [ 4]: ∎∎∎∎ 34246686.5667 - 36048422.3333 [ 4]: ∎∎∎∎ 36048422.3333 - 37850158.1000 [ 1]: ∎ 37850158.1000 - 39651893.8667 [ 5]: ∎∎∎∎∎ 39651893.8667 - 41453629.6333 [ 2]: ∎∎ 41453629.6333 - 43255365.4000 [ 2]: ∎∎ 43255365.4000 - 45057101.1667 [ 2]: ∎∎ 45057101.1667 - 46858836.9333 [ 1]: ∎ 46858836.9333 - 48660572.7000 [ 2]: ∎∎ 48660572.7000 - 50462308.4667 [ 3]: ∎∎∎ 50462308.4667 - 52264044.2333 [ 2]: ∎∎ 52264044.2333 - 54065780.0000 [ 2]: ∎∎ and the zoomed-in first part: 13707.0000 - 19916.7667 [ 2]: ∎∎ 19916.7667 - 26126.5333 [ 2]: ∎∎ 26126.5333 - 32336.3000 [ 9]: ∎∎∎∎∎∎∎∎∎ 32336.3000 - 38546.0667 [ 8]: ∎∎∎∎∎∎∎∎ 38546.0667 - 44755.8333 [ 12]: ∎∎∎∎∎∎∎∎∎∎∎∎ 44755.8333 - 50965.6000 [ 10]: ∎∎∎∎∎∎∎∎∎∎ 50965.6000 - 57175.3667 [ 5]: ∎∎∎∎∎ 57175.3667 - 63385.1333 [ 6]: ∎∎∎∎∎∎ 63385.1333 - 69594.9000 [ 5]: ∎∎∎∎∎ 69594.9000 - 75804.6667 [ 6]: ∎∎∎∎∎∎ 75804.6667 - 82014.4333 [ 6]: ∎∎∎∎∎∎ 82014.4333 - 88224.2000 [ 4]: ∎∎∎∎ 88224.2000 - 94433.9667 [ 1]: ∎ 94433.9667 - 100643.7333 [ 1]: ∎ 100643.7333 - 106853.5000 [ 2]: ∎∎ 106853.5000 - 113063.2667 [ 0]: 113063.2667 - 119273.0333 [ 2]: ∎∎ 119273.0333 - 125482.8000 [ 2]: ∎∎ 125482.8000 - 131692.5667 [ 1]: ∎ 131692.5667 - 137902.3333 [ 1]: ∎ 137902.3333 - 144112.1000 [ 0]: 144112.1000 - 150321.8667 [ 2]: ∎∎ 150321.8667 - 156531.6333 [ 1]: ∎ 156531.6333 - 162741.4000 [ 1]: ∎ 162741.4000 - 168951.1667 [ 0]: 168951.1667 - 175160.9333 [ 0]: 175160.9333 - 181370.7000 [ 1]: ∎ 181370.7000 - 187580.4667 [ 1]: ∎ 187580.4667 - 193790.2333 [ 2]: ∎∎ 193790.2333 - 200000.0000 [ 0]: Here is casgstatus wait time histogram: 631.0000 - 5276.6333 [ 3]: ∎∎∎ 5276.6333 - 9922.2667 [ 5]: ∎∎∎∎∎ 9922.2667 - 14567.9000 [ 2]: ∎∎ 14567.9000 - 19213.5333 [ 6]: ∎∎∎∎∎∎ 19213.5333 - 23859.1667 [ 5]: ∎∎∎∎∎ 23859.1667 - 28504.8000 [ 6]: ∎∎∎∎∎∎ 28504.8000 - 33150.4333 [ 6]: ∎∎∎∎∎∎ 33150.4333 - 37796.0667 [ 2]: ∎∎ 37796.0667 - 42441.7000 [ 1]: ∎ 42441.7000 - 47087.3333 [ 3]: ∎∎∎ 47087.3333 - 51732.9667 [ 0]: 51732.9667 - 56378.6000 [ 1]: ∎ 56378.6000 - 61024.2333 [ 0]: 61024.2333 - 65669.8667 [ 0]: 65669.8667 - 70315.5000 [ 0]: 70315.5000 - 74961.1333 [ 1]: ∎ 74961.1333 - 79606.7667 [ 0]: 79606.7667 - 84252.4000 [ 0]: 84252.4000 - 88898.0333 [ 0]: 88898.0333 - 93543.6667 [ 0]: 93543.6667 - 98189.3000 [ 0]: 98189.3000 - 102834.9333 [ 0]: 102834.9333 - 107480.5667 [ 1]: ∎ 107480.5667 - 112126.2000 [ 0]: 112126.2000 - 116771.8333 [ 0]: 116771.8333 - 121417.4667 [ 0]: 121417.4667 - 126063.1000 [ 0]: 126063.1000 - 130708.7333 [ 0]: 130708.7333 - 135354.3667 [ 0]: 135354.3667 - 140000.0000 [ 1]: ∎ Ideally we eliminate the waiting by switching to async state machine for GC, but for now just yield to OS scheduler after a reasonable wait time. To choose yielding parameters I've measured golang.org/x/benchmarks/http tail latencies with different yield delays and oversubscription levels. With no oversubscription (to the degree possible): scang yield delay = 1, casgstatus yield delay = 1 Latency-50 1.41ms ±15% 1.41ms ± 5% ~ (p=0.611 n=13+12) Latency-95 5.21ms ± 2% 5.15ms ± 2% -1.15% (p=0.012 n=13+13) Latency-99 7.16ms ± 2% 7.05ms ± 2% -1.54% (p=0.002 n=13+13) Latency-999 10.7ms ± 9% 10.2ms ±10% -5.46% (p=0.004 n=12+13) scang yield delay = 5000, casgstatus yield delay = 3000 Latency-50 1.41ms ±15% 1.41ms ± 8% ~ (p=0.511 n=13+13) Latency-95 5.21ms ± 2% 5.14ms ± 2% -1.23% (p=0.006 n=13+13) Latency-99 7.16ms ± 2% 7.02ms ± 2% -1.94% (p=0.000 n=13+13) Latency-999 10.7ms ± 9% 10.1ms ± 8% -6.14% (p=0.000 n=12+13) scang yield delay = 10000, casgstatus yield delay = 5000 Latency-50 1.41ms ±15% 1.45ms ± 6% ~ (p=0.724 n=13+13) Latency-95 5.21ms ± 2% 5.18ms ± 1% ~ (p=0.287 n=13+13) Latency-99 7.16ms ± 2% 7.05ms ± 2% -1.64% (p=0.002 n=13+13) Latency-999 10.7ms ± 9% 10.0ms ± 5% -6.72% (p=0.000 n=12+13) scang yield delay = 30000, casgstatus yield delay = 10000 Latency-50 1.41ms ±15% 1.51ms ± 7% +6.57% (p=0.002 n=13+13) Latency-95 5.21ms ± 2% 5.21ms ± 2% ~ (p=0.960 n=13+13) Latency-99 7.16ms ± 2% 7.06ms ± 2% -1.50% (p=0.012 n=13+13) Latency-999 10.7ms ± 9% 10.0ms ± 6% -6.49% (p=0.000 n=12+13) scang yield delay = 100000, casgstatus yield delay = 50000 Latency-50 1.41ms ±15% 1.53ms ± 6% +8.48% (p=0.000 n=13+12) Latency-95 5.21ms ± 2% 5.23ms ± 2% ~ (p=0.287 n=13+13) Latency-99 7.16ms ± 2% 7.08ms ± 2% -1.21% (p=0.004 n=13+13) Latency-999 10.7ms ± 9% 9.9ms ± 3% -7.99% (p=0.000 n=12+12) scang yield delay = 200000, casgstatus yield delay = 100000 Latency-50 1.41ms ±15% 1.47ms ± 5% ~ (p=0.072 n=13+13) Latency-95 5.21ms ± 2% 5.17ms ± 2% ~ (p=0.091 n=13+13) Latency-99 7.16ms ± 2% 7.02ms ± 2% -1.99% (p=0.000 n=13+13) Latency-999 10.7ms ± 9% 9.9ms ± 5% -7.86% (p=0.000 n=12+13) With slight oversubscription (another instance of http benchmark was running in background with reduced GOMAXPROCS): scang yield delay = 1, casgstatus yield delay = 1 Latency-50 840µs ± 3% 804µs ± 3% -4.37% (p=0.000 n=15+18) Latency-95 6.52ms ± 4% 6.03ms ± 4% -7.51% (p=0.000 n=18+18) Latency-99 10.8ms ± 7% 10.0ms ± 4% -7.33% (p=0.000 n=18+14) Latency-999 18.0ms ± 9% 16.8ms ± 7% -6.84% (p=0.000 n=18+18) scang yield delay = 5000, casgstatus yield delay = 3000 Latency-50 840µs ± 3% 809µs ± 3% -3.71% (p=0.000 n=15+17) Latency-95 6.52ms ± 4% 6.11ms ± 4% -6.29% (p=0.000 n=18+18) Latency-99 10.8ms ± 7% 9.9ms ± 6% -7.55% (p=0.000 n=18+18) Latency-999 18.0ms ± 9% 16.5ms ±11% -8.49% (p=0.000 n=18+18) scang yield delay = 10000, casgstatus yield delay = 5000 Latency-50 840µs ± 3% 823µs ± 5% -2.06% (p=0.002 n=15+18) Latency-95 6.52ms ± 4% 6.32ms ± 3% -3.05% (p=0.000 n=18+18) Latency-99 10.8ms ± 7% 10.2ms ± 4% -5.22% (p=0.000 n=18+18) Latency-999 18.0ms ± 9% 16.7ms ±10% -7.09% (p=0.000 n=18+18) scang yield delay = 30000, casgstatus yield delay = 10000 Latency-50 840µs ± 3% 836µs ± 5% ~ (p=0.442 n=15+18) Latency-95 6.52ms ± 4% 6.39ms ± 3% -2.00% (p=0.000 n=18+18) Latency-99 10.8ms ± 7% 10.2ms ± 6% -5.15% (p=0.000 n=18+17) Latency-999 18.0ms ± 9% 16.6ms ± 8% -7.48% (p=0.000 n=18+18) scang yield delay = 100000, casgstatus yield delay = 50000 Latency-50 840µs ± 3% 836µs ± 6% ~ (p=0.401 n=15+18) Latency-95 6.52ms ± 4% 6.40ms ± 4% -1.79% (p=0.010 n=18+18) Latency-99 10.8ms ± 7% 10.2ms ± 5% -4.95% (p=0.000 n=18+18) Latency-999 18.0ms ± 9% 16.5ms ±14% -8.17% (p=0.000 n=18+18) scang yield delay = 200000, casgstatus yield delay = 100000 Latency-50 840µs ± 3% 828µs ± 2% -1.49% (p=0.001 n=15+17) Latency-95 6.52ms ± 4% 6.38ms ± 4% -2.04% (p=0.001 n=18+18) Latency-99 10.8ms ± 7% 10.2ms ± 4% -4.77% (p=0.000 n=18+18) Latency-999 18.0ms ± 9% 16.9ms ± 9% -6.23% (p=0.000 n=18+18) With significant oversubscription (background http benchmark was running with full GOMAXPROCS): scang yield delay = 1, casgstatus yield delay = 1 Latency-50 1.32ms ±12% 1.30ms ±13% ~ (p=0.454 n=14+14) Latency-95 16.3ms ±10% 15.3ms ± 7% -6.29% (p=0.001 n=14+14) Latency-99 29.4ms ±10% 27.9ms ± 5% -5.04% (p=0.001 n=14+12) Latency-999 49.9ms ±19% 45.9ms ± 5% -8.00% (p=0.008 n=14+13) scang yield delay = 5000, casgstatus yield delay = 3000 Latency-50 1.32ms ±12% 1.29ms ± 9% ~ (p=0.227 n=14+14) Latency-95 16.3ms ±10% 15.4ms ± 5% -5.27% (p=0.002 n=14+14) Latency-99 29.4ms ±10% 27.9ms ± 6% -5.16% (p=0.001 n=14+14) Latency-999 49.9ms ±19% 46.8ms ± 8% -6.21% (p=0.050 n=14+14) scang yield delay = 10000, casgstatus yield delay = 5000 Latency-50 1.32ms ±12% 1.35ms ± 9% ~ (p=0.401 n=14+14) Latency-95 16.3ms ±10% 15.0ms ± 4% -7.67% (p=0.000 n=14+14) Latency-99 29.4ms ±10% 27.4ms ± 5% -6.98% (p=0.000 n=14+14) Latency-999 49.9ms ±19% 44.7ms ± 5% -10.56% (p=0.000 n=14+11) scang yield delay = 30000, casgstatus yield delay = 10000 Latency-50 1.32ms ±12% 1.36ms ±10% ~ (p=0.246 n=14+14) Latency-95 16.3ms ±10% 14.9ms ± 5% -8.31% (p=0.000 n=14+14) Latency-99 29.4ms ±10% 27.4ms ± 7% -6.70% (p=0.000 n=14+14) Latency-999 49.9ms ±19% 44.9ms ±15% -10.13% (p=0.003 n=14+14) scang yield delay = 100000, casgstatus yield delay = 50000 Latency-50 1.32ms ±12% 1.41ms ± 9% +6.37% (p=0.008 n=14+13) Latency-95 16.3ms ±10% 15.1ms ± 8% -7.45% (p=0.000 n=14+14) Latency-99 29.4ms ±10% 27.5ms ±12% -6.67% (p=0.002 n=14+14) Latency-999 49.9ms ±19% 45.9ms ±16% -8.06% (p=0.019 n=14+14) scang yield delay = 200000, casgstatus yield delay = 100000 Latency-50 1.32ms ±12% 1.42ms ±10% +7.21% (p=0.003 n=14+14) Latency-95 16.3ms ±10% 15.0ms ± 7% -7.59% (p=0.000 n=14+14) Latency-99 29.4ms ±10% 27.3ms ± 8% -7.20% (p=0.000 n=14+14) Latency-999 49.9ms ±19% 44.8ms ± 8% -10.21% (p=0.001 n=14+13) All numbers are on 8 cores and with GOGC=10 (http benchmark has tiny heap, few goroutines and low allocation rate, so by default GC barely affects tail latency). 10us/5us yield delays seem to provide a reasonable compromise and give 5-10% tail latency reduction. That's what used in this change. go install -a std results on 4 core machine: name old time/op new time/op delta Time 8.39s ± 2% 7.94s ± 2% -5.34% (p=0.000 n=47+49) UserTime 24.6s ± 2% 22.9s ± 2% -6.76% (p=0.000 n=49+49) SysTime 1.77s ± 9% 1.89s ±11% +7.00% (p=0.000 n=49+49) CpuLoad 315ns ± 2% 313ns ± 1% -0.59% (p=0.000 n=49+48) # %CPU MaxRSS 97.1ms ± 4% 97.5ms ± 9% ~ (p=0.838 n=46+49) # bytes Update #14396 Update #14189 Change-Id: I3f4109bf8f7fd79b39c466576690a778232055a2 Reviewed-on: https://go-review.googlesource.com/21503 Run-TryBot: Dmitry Vyukov <dvyukov@google.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Rick Hudson <rlh@golang.org> Reviewed-by: Austin Clements <austin@google.com>
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@ -721,9 +721,13 @@ func casgstatus(gp *g, oldval, newval uint32) {
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throw("casgstatus")
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}
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// See http://golang.org/cl/21503 for justification of the yield delay.
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const yieldDelay = 5 * 1000
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var nextYield int64
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// loop if gp->atomicstatus is in a scan state giving
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// GC time to finish and change the state to oldval.
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for !atomic.Cas(&gp.atomicstatus, oldval, newval) {
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for i := 0; !atomic.Cas(&gp.atomicstatus, oldval, newval); i++ {
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if oldval == _Gwaiting && gp.atomicstatus == _Grunnable {
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systemstack(func() {
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throw("casgstatus: waiting for Gwaiting but is Grunnable")
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@ -736,6 +740,18 @@ func casgstatus(gp *g, oldval, newval uint32) {
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// gcphasework(gp)
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// })
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// }
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// But meanwhile just yield.
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if i == 0 {
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nextYield = nanotime() + yieldDelay
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}
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if nanotime() < nextYield {
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for x := 0; x < 10 && gp.atomicstatus != oldval; x++ {
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procyield(1)
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}
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} else {
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osyield()
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nextYield = nanotime() + yieldDelay/2
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}
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}
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if newval == _Grunning {
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gp.gcscanvalid = false
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@ -773,12 +789,17 @@ func scang(gp *g) {
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gp.gcscandone = false
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// See http://golang.org/cl/21503 for justification of the yield delay.
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const yieldDelay = 10 * 1000
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var nextYield int64
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// Endeavor to get gcscandone set to true,
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// either by doing the stack scan ourselves or by coercing gp to scan itself.
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// gp.gcscandone can transition from false to true when we're not looking
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// (if we asked for preemption), so any time we lock the status using
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// castogscanstatus we have to double-check that the scan is still not done.
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for !gp.gcscandone {
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loop:
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for i := 0; !gp.gcscandone; i++ {
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switch s := readgstatus(gp); s {
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default:
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dumpgstatus(gp)
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@ -787,6 +808,7 @@ func scang(gp *g) {
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case _Gdead:
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// No stack.
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gp.gcscandone = true
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break loop
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case _Gcopystack:
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// Stack being switched. Go around again.
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@ -802,6 +824,7 @@ func scang(gp *g) {
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gp.gcscandone = true
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}
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restartg(gp)
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break loop
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}
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case _Gscanwaiting:
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@ -827,6 +850,16 @@ func scang(gp *g) {
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casfrom_Gscanstatus(gp, _Gscanrunning, _Grunning)
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}
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}
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if i == 0 {
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nextYield = nanotime() + yieldDelay
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}
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if nanotime() < nextYield {
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procyield(10)
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} else {
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osyield()
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nextYield = nanotime() + yieldDelay/2
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}
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}
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gp.preemptscan = false // cancel scan request if no longer needed
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