Files
livekit/pkg/sfu/forwardstats_test.go
Raja SubramanianandClaude Opus 5.5 d2cf39bce6 sfu: replace forward scheduling delay with processing per write (#5072)
* sfu: replace forward scheduling delay with processing per subscriber

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* sfu: describe processing per subscriber as per write

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* telemetry: name forward processing metrics per write

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* Pin protocol with NodeStats forward_processing_per_write

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-27 01:52:17 +05:30

477 lines
15 KiB
Go

package sfu
import (
"math"
"sync"
"testing"
"time"
"github.com/stretchr/testify/require"
"go.uber.org/atomic"
"github.com/livekit/livekit-server/pkg/telemetry/prometheus"
"github.com/livekit/protocol/livekit"
)
// initPrometheus initializes the global forward-latency collectors so that the
// worker's metric emission has non-nil targets. Init returns early if already
// initialized, so it is safe to call from multiple tests.
func initPrometheus(t *testing.T) {
t.Helper()
require.NoError(t, prometheus.Init("test", livekit.NodeType_SERVER))
}
// ---------------------------------------------------------------------------
// forwardSummary
// ---------------------------------------------------------------------------
// bucketSum totals a summary's per-bucket counts, independent of the bucketing
// scheme, so tests can assert samples landed without hard-coding bucket indices.
func bucketSum(s forwardSummary) int64 {
var n int64
for _, b := range s.buckets {
n += b.count
}
return n
}
func TestForwardSummary_AddSample(t *testing.T) {
var s forwardSummary
// empty summary
require.Equal(t, int64(0), s.count)
s.addSample(3000) // 3us
s.addSample(1000) // 1us
s.addSample(2000) // 2us
require.Equal(t, int64(3), s.count)
require.Equal(t, int64(1000), s.minNs)
require.Equal(t, int64(3000), s.maxNs)
require.Equal(t, s.count, bucketSum(s)) // every sample landed in a bucket
}
func TestForwardSummary_Merge(t *testing.T) {
var empty forwardSummary
var a, b forwardSummary
a.addSample(1000)
a.addSample(2000)
b.addSample(5000)
b.addSample(3000)
// merging with empty is identity, in both directions
require.Equal(t, a, a.merge(empty))
require.Equal(t, a, empty.merge(a))
m := a.merge(b)
require.Equal(t, int64(4), m.count)
require.Equal(t, int64(1000), m.minNs)
require.Equal(t, int64(5000), m.maxNs)
// merge sums the per-bucket counts
require.Equal(t, bucketSum(a)+bucketSum(b), bucketSum(m))
require.Equal(t, m.count, bucketSum(m))
}
func TestForwardSummary_Percentile(t *testing.T) {
// empty -> zero
require.Zero(t, forwardSummary{}.percentile(0.5))
// half the samples fast (1us), half a slow tail (100us). A percentile is not
// dragged toward the tail the way the mean is -- why the reported metric is
// p90, not the mean.
var s forwardSummary
for i := 0; i < 5; i++ {
s.addSample(1000) // 1us
}
for i := 0; i < 5; i++ {
s.addSample(100_000) // 100us
}
require.Equal(t, int64(10), s.count)
// p50 lands in the fast cluster, unmoved by the 100us tail.
require.Equal(t, 1*time.Microsecond, s.percentile(0.5))
// p90 crosses into the slow cluster.
require.Equal(t, 100*time.Microsecond, s.percentile(0.9))
// a single sample reports exactly its latency, not the top edge of its bucket
// (nominal-edge interpolation would report the bucket's upper reach instead).
var single forwardSummary
single.addSample(int64(20 * time.Millisecond))
require.Equal(t, 20*time.Millisecond, single.percentile(0.9))
// identical samples share a bucket but must not invent intra-bucket spread.
var u forwardSummary
for i := 0; i < 8; i++ {
u.addSample(int64(2 * time.Millisecond))
}
require.Equal(t, 2*time.Millisecond, u.percentile(0.5))
require.Equal(t, 2*time.Millisecond, u.percentile(0.99))
}
func TestForwardSummary_ThresholdResolution(t *testing.T) {
// Nodes whose p90 packets cluster near a 300us overload threshold.
// Interpolating within each bucket's observed range reports a tight tail
// exactly, so each cluster lands on the correct side of 300us.
build := func(tailUs int64) forwardSummary {
var s forwardSummary
for i := 0; i < 850; i++ {
s.addSample(50 * int64(time.Microsecond))
}
for i := 0; i < 150; i++ {
s.addSample(tailUs * int64(time.Microsecond))
}
return s
}
require.Less(t, build(265).percentile(0.9), 300*time.Microsecond) // below -> no trip
require.Greater(t, build(310).percentile(0.9), 300*time.Microsecond) // just above -> trips
require.Greater(t, build(500).percentile(0.9), 300*time.Microsecond) // well above -> trips
// a tight tail is reported exactly, regardless of where it sits in the bucket.
require.Equal(t, 265*time.Microsecond, build(265).percentile(0.9))
require.Equal(t, 310*time.Microsecond, build(310).percentile(0.9))
require.Equal(t, 500*time.Microsecond, build(500).percentile(0.9))
}
// ---------------------------------------------------------------------------
// forwardSampleBuffer
// ---------------------------------------------------------------------------
func shardOf(arrival int64) int {
return int((uint64(arrival) >> 6) & forwardSampleShardSel)
}
// arrivalForShard returns the n-th arrival value that maps to a fixed shard.
// Incrementing arrival by (1<<10) advances (arrival>>6) by 16, leaving the low
// 4 selection bits unchanged.
func arrivalForShard(n int) int64 {
return int64(n) << 10
}
func TestForwardSampleBuffer_PushDrain(t *testing.T) {
var b forwardSampleBuffer
const n = 1000
for i := 0; i < n; i++ {
b.push(int64(i), int64((i+1)*1000))
}
got := map[int64]int{}
total := 0
b.drain(func(v int64) {
got[v]++
total++
})
require.Equal(t, n, total)
require.Equal(t, uint64(0), b.dropped.Load())
for i := 0; i < n; i++ {
require.Equal(t, 1, got[int64((i+1)*1000)], "sample %d missing", i)
}
// draining again yields nothing (read cursor advanced)
total = 0
b.drain(func(v int64) { total++ })
require.Equal(t, 0, total)
}
func TestForwardSampleBuffer_Overflow(t *testing.T) {
var b forwardSampleBuffer
const extra = 100
const n = forwardSampleShardCap + extra
// pin every push to a single shard so it overflows
for i := 0; i < n; i++ {
b.push(arrivalForShard(i), int64(i)*1000)
}
require.Equal(t, 0, shardOf(arrivalForShard(0)))
require.Equal(t, shardOf(arrivalForShard(0)), shardOf(arrivalForShard(n-1)))
var drained []int64
b.drain(func(v int64) { drained = append(drained, v) })
// exactly a shard's worth survives; the oldest `extra` are dropped and counted
require.Len(t, drained, forwardSampleShardCap)
require.Equal(t, uint64(extra), b.dropped.Load())
// survivors are the most recent cap samples, in order
for j, v := range drained {
require.Equal(t, int64(extra+j)*1000, v)
}
}
func TestForwardSampleBuffer_DefersUncommitted(t *testing.T) {
var b forwardSampleBuffer
sh := &b.shards[0]
// simulate a producer that reserved index 0 but has not published its value
sh.writeIdx.Store(1)
got := 0
b.drain(func(int64) { got++ })
require.Equal(t, 0, got, "uncommitted slot must not be read")
require.Equal(t, uint64(0), sh.readIdx, "cursor must not advance past an uncommitted slot")
require.Equal(t, uint64(0), b.dropped.Load())
// producer publishes the value; next drain picks it up
sh.ring[0].Store(1234)
sh.seq[0].Store(1)
var vals []int64
b.drain(func(v int64) { vals = append(vals, v) })
require.Equal(t, []int64{1234}, vals)
require.Equal(t, uint64(1), sh.readIdx)
require.Equal(t, uint64(0), b.dropped.Load())
}
func TestForwardSampleBuffer_Concurrent(t *testing.T) {
var b forwardSampleBuffer
var stop atomic.Bool
var consumed int64
done := make(chan struct{})
go func() {
defer close(done)
for !stop.Load() {
b.drain(func(int64) { consumed++ })
time.Sleep(time.Millisecond)
}
b.drain(func(int64) { consumed++ }) // final sweep
}()
const producers = 8
const perProducer = 100_000
var wg sync.WaitGroup
for p := 0; p < producers; p++ {
wg.Add(1)
go func(seed int64) {
defer wg.Done()
for i := int64(0); i < perProducer; i++ {
b.push(seed*7+i, (i%50)*int64(time.Microsecond))
}
}(int64(p))
}
wg.Wait()
stop.Store(true)
<-done
// with a consumer keeping pace no samples should be lost
require.Equal(t, int64(producers*perProducer), consumed+int64(b.dropped.Load()))
}
// ---------------------------------------------------------------------------
// ForwardStats
// ---------------------------------------------------------------------------
func TestForwardStats_Update(t *testing.T) {
s := &ForwardStats{ring: make([]forwardIntervalSummary, 1)}
// below threshold
transit, isHigh := s.Update(1000, 1000+int64(5*time.Millisecond))
require.Equal(t, int64(5*time.Millisecond), transit)
require.False(t, isHigh)
// above threshold
transit, isHigh = s.Update(1000, 1000+int64(25*time.Millisecond))
require.Equal(t, int64(25*time.Millisecond), transit)
require.True(t, isHigh)
// exactly at threshold is not "high" (strictly greater)
_, isHigh = s.Update(0, int64(cHighForwardingLatency))
require.False(t, isHigh)
}
func TestForwardStats_Flush(t *testing.T) {
initPrometheus(t)
s := &ForwardStats{ring: make([]forwardIntervalSummary, 4)}
for i := 0; i < 10; i++ {
s.Update(0, int64((i+1)*1000)) // 1us..10us
}
s.flush()
require.Equal(t, 1, s.ringLen)
summ := s.ring[0].transit
require.Equal(t, int64(10), summ.count)
require.Equal(t, int64(1000), summ.minNs)
require.Equal(t, int64(10000), summ.maxNs)
require.Equal(t, uint64(0), s.samples.dropped.Load())
// a subsequent flush with no new samples appends an empty summary
s.flush()
require.Equal(t, 2, s.ringLen)
require.Equal(t, int64(0), s.ring[1].transit.count)
}
func TestForwardSample_Pack(t *testing.T) {
transit, processing := unpackForwardSample(packForwardSample(250_000, 4_096))
require.Equal(t, int64(250_000), transit)
require.Equal(t, int64(4_096), processing)
// processing per subscriber keeps 16 ns resolution
_, processing = unpackForwardSample(packForwardSample(250_000, 4_100))
require.Equal(t, int64(4_096), processing)
// no processing sample, and a zero one is a sample, not "none"
_, processing = unpackForwardSample(packForwardSample(1_000, -1))
require.Equal(t, int64(-1), processing)
_, processing = unpackForwardSample(packForwardSample(1_000, 0))
require.Equal(t, int64(0), processing)
// a long stall keeps its full transit; processing saturates and never reads as "none"
transit, processing = unpackForwardSample(packForwardSample(10*int64(time.Second), 10*int64(time.Second)))
require.Equal(t, 10*int64(time.Second), transit)
require.Equal(t, int64((forwardNoProcessing-1)<<forwardProcessingShift), processing)
transit, _ = unpackForwardSample(packForwardSample(math.MaxInt64, -1))
require.Equal(t, int64(forwardMaxTransitNs), transit)
// a negative transit (clock skew) clamps to zero
transit, _ = unpackForwardSample(packForwardSample(-5, -1))
require.Equal(t, int64(0), transit)
}
func TestForwardSummary_Mean(t *testing.T) {
var a, b forwardSummary
a.addSample(1_000)
a.addSample(3_000)
b.addSample(8_000)
require.Equal(t, 2*time.Microsecond, a.mean())
require.Equal(t, 4*time.Microsecond, a.merge(b).mean())
require.Equal(t, time.Duration(0), forwardSummary{}.mean())
}
func TestSaturatingNs(t *testing.T) {
require.Equal(t, uint32(1_000_000), saturatingNs(time.Millisecond))
// a 5s p90 saturates instead of wrapping to ~705ms
require.Equal(t, uint32(math.MaxUint32), saturatingNs(5*time.Second))
require.Equal(t, uint32(0), saturatingNs(-time.Second))
}
func TestForwardStats_ProcessingPerSubscriber(t *testing.T) {
initPrometheus(t)
s := &ForwardStats{ring: make([]forwardIntervalSummary, 1)}
// dequeued 100us after arrival, fan-out to 50 subscribers done 300us after arrival
s.UpdateForwarded(0, 100_000, 300_000, 50)
// relay forwarding and a packet written to no one carry no processing sample
s.Update(0, 300_000)
s.UpdateForwarded(0, 100_000, 300_000, 0)
s.flush()
summ := s.ring[0]
require.Equal(t, int64(3), summ.transit.count)
require.Equal(t, int64(1), summ.processingPerSubscriber.count)
require.Equal(t, 4*time.Microsecond, summ.processingPerSubscriber.mean())
require.Equal(t, 300*time.Microsecond, s.GetStats(0))
require.NotPanics(t, s.report)
}
func TestForwardStats_ReportWindow(t *testing.T) {
initPrometheus(t)
// window of 3 summary buckets
s := &ForwardStats{ring: make([]forwardIntervalSummary, 3)}
s.Update(0, 1000)
s.flush()
s.Update(0, 3000)
s.flush()
// report merges the whole window without panicking and reflects both samples
var w forwardSummary
for i := 0; i < s.ringLen; i++ {
w = w.merge(s.ring[i].transit)
}
require.Equal(t, int64(2), w.count)
require.Equal(t, int64(1000), w.minNs)
require.Equal(t, int64(3000), w.maxNs)
require.NotPanics(t, s.report)
}
func TestForwardStats_GetStats(t *testing.T) {
initPrometheus(t)
// 5 buckets, each covering one 100ms summary interval.
s := &ForwardStats{ring: make([]forwardIntervalSummary, 5), summaryInterval: 100 * time.Millisecond}
// fold five 100ms buckets, one sample each, descending 5ms..1ms so trailing
// windows have distinct maxima.
for i := 5; i >= 1; i-- {
s.Update(0, int64(i)*int64(time.Millisecond))
s.flush()
}
require.Equal(t, 5, s.ringLen)
// whole window {1..5ms}: p90 clamps to the observed max, 5ms.
require.Equal(t, 5*time.Millisecond, s.GetStats(0))
require.Equal(t, 5*time.Millisecond, s.GetStats(time.Second))
// ~200ms covers only the two most recent buckets {2ms, 1ms}: a lower window
// than the full one, and above the single most-recent bucket.
require.Less(t, s.GetStats(200*time.Millisecond), 3*time.Millisecond)
require.Greater(t, s.GetStats(200*time.Millisecond), s.GetStats(time.Nanosecond))
// a sub-interval yields only the most recent bucket, ~1ms.
require.Equal(t, 1*time.Millisecond, s.GetStats(time.Nanosecond))
}
func TestForwardStats_Lifecycle(t *testing.T) {
initPrometheus(t)
s := NewForwardStats(5*time.Millisecond, 20*time.Millisecond, 100*time.Millisecond)
for i := 0; i < 1000; i++ {
s.Update(int64(i), int64(i)+int64(time.Millisecond))
}
time.Sleep(60 * time.Millisecond) // let the worker flush/report a few times
require.NotPanics(t, s.Stop)
}
func TestNewForwardStats_RingSizing(t *testing.T) {
// ringCap = ceil(window / summaryInterval)
s := NewForwardStats(100*time.Millisecond, time.Second, time.Second)
require.Equal(t, 10, len(s.ring))
s.Stop()
// rounds up a partial interval
s = NewForwardStats(100*time.Millisecond, time.Second, 250*time.Millisecond)
require.Equal(t, 3, len(s.ring))
s.Stop()
// never smaller than one bucket, even if window < summaryInterval
s = NewForwardStats(time.Second, time.Second, 100*time.Millisecond)
require.Equal(t, 1, len(s.ring))
s.Stop()
}
// ---------------------------------------------------------------------------
// benchmark: per-packet cost of Update (run with -cpu 1,8).
// ---------------------------------------------------------------------------
// benchArrival advances the arrival timestamp by 64ns per packet so that
// consecutive packets from one goroutine map to successive shards
// ((arrival>>6)&mask increments each step). A distinct per-goroutine base
// spreads goroutines across shards.
func benchArrival(base, i int64) int64 {
return base + i*64
}
func BenchmarkForwardStatsUpdate(b *testing.B) {
s := &ForwardStats{ring: make([]forwardIntervalSummary, 1)}
var gid atomic.Int64
b.RunParallel(func(pb *testing.PB) {
base := gid.Add(1) * 1_000_003
var i int64
for pb.Next() {
i++
arrival := benchArrival(base, i)
s.Update(arrival, arrival+int64(2*time.Millisecond))
}
})
}