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Use by cloud simulated tracks. Introduces a lock, but it is used only in the background worker (where it will be almost always uncontested) and when API GetStats is accessed. Does not touch the per-packet Update path.
366 lines
11 KiB
Go
366 lines
11 KiB
Go
package sfu
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import (
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"sync"
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"testing"
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"time"
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"github.com/stretchr/testify/require"
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"go.uber.org/atomic"
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"github.com/livekit/livekit-server/pkg/telemetry/prometheus"
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"github.com/livekit/protocol/livekit"
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)
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// initPrometheus initializes the global forward-latency collectors so that the
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// worker's metric emission has non-nil targets. Init returns early if already
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// initialized, so it is safe to call from multiple tests.
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func initPrometheus(t *testing.T) {
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t.Helper()
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require.NoError(t, prometheus.Init("test", livekit.NodeType_SERVER))
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}
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// ---------------------------------------------------------------------------
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// forwardSummary
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// ---------------------------------------------------------------------------
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func TestForwardSummary_AddSample(t *testing.T) {
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var s forwardSummary
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// empty summary
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require.Equal(t, int64(0), s.count)
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// microsecond-aligned transits so the /1000 truncation is exact
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s = s.addSample(3000) // 3us
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s = s.addSample(1000) // 1us
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s = s.addSample(2000) // 2us
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require.Equal(t, int64(3), s.count)
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require.Equal(t, int64(1+2+3), s.sumUs)
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require.Equal(t, int64(1+4+9), s.sumSqUs)
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require.Equal(t, int64(1000), s.minNs)
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require.Equal(t, int64(3000), s.maxNs)
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}
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func TestForwardSummary_Merge(t *testing.T) {
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var empty forwardSummary
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a := forwardSummary{}.addSample(1000).addSample(2000)
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b := forwardSummary{}.addSample(5000).addSample(3000)
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// merging with empty is identity, in both directions
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require.Equal(t, a, a.merge(empty))
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require.Equal(t, a, empty.merge(a))
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m := a.merge(b)
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require.Equal(t, int64(4), m.count)
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require.Equal(t, a.sumUs+b.sumUs, m.sumUs)
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require.Equal(t, a.sumSqUs+b.sumSqUs, m.sumSqUs)
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require.Equal(t, int64(1000), m.minNs)
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require.Equal(t, int64(5000), m.maxNs)
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}
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func TestForwardSummary_MeanStdDev(t *testing.T) {
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// empty -> zero
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mean, stdDev := forwardSummary{}.meanStdDev()
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require.Zero(t, mean)
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require.Zero(t, stdDev)
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// single sample -> mean set, stddev zero (needs >= 2 for variance)
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mean, stdDev = forwardSummary{}.addSample(4000).meanStdDev()
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require.Equal(t, 4*time.Microsecond, mean)
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require.Zero(t, stdDev)
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// identical samples -> zero variance
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s := forwardSummary{}.addSample(2000).addSample(2000).addSample(2000)
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mean, stdDev = s.meanStdDev()
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require.Equal(t, 2*time.Microsecond, mean)
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require.Zero(t, stdDev)
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// known dataset [1us, 2us, 3us]: mean 2us, sample variance 1us^2 -> stddev 1us
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s = forwardSummary{}.addSample(1000).addSample(2000).addSample(3000)
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mean, stdDev = s.meanStdDev()
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require.Equal(t, 2*time.Microsecond, mean)
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require.InDelta(t, float64(time.Microsecond), float64(stdDev), float64(50*time.Nanosecond))
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}
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// ---------------------------------------------------------------------------
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// forwardSampleBuffer
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// ---------------------------------------------------------------------------
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func shardOf(arrival int64) int {
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return int((uint64(arrival) >> 6) & forwardSampleShardSel)
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}
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// arrivalForShard returns the n-th arrival value that maps to a fixed shard.
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// Incrementing arrival by (1<<10) advances (arrival>>6) by 16, leaving the low
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// 4 selection bits unchanged.
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func arrivalForShard(n int) int64 {
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return int64(n) << 10
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}
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func TestForwardSampleBuffer_PushDrain(t *testing.T) {
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var b forwardSampleBuffer
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const n = 1000
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for i := 0; i < n; i++ {
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b.push(int64(i), int64((i+1)*1000))
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}
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got := map[int64]int{}
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total := 0
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b.drain(func(v int64) {
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got[v]++
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total++
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})
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require.Equal(t, n, total)
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require.Equal(t, uint64(0), b.dropped.Load())
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for i := 0; i < n; i++ {
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require.Equal(t, 1, got[int64((i+1)*1000)], "sample %d missing", i)
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}
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// draining again yields nothing (read cursor advanced)
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total = 0
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b.drain(func(v int64) { total++ })
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require.Equal(t, 0, total)
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}
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func TestForwardSampleBuffer_Overflow(t *testing.T) {
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var b forwardSampleBuffer
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const extra = 100
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const n = forwardSampleShardCap + extra
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// pin every push to a single shard so it overflows
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for i := 0; i < n; i++ {
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b.push(arrivalForShard(i), int64(i)*1000)
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}
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require.Equal(t, 0, shardOf(arrivalForShard(0)))
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require.Equal(t, shardOf(arrivalForShard(0)), shardOf(arrivalForShard(n-1)))
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var drained []int64
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b.drain(func(v int64) { drained = append(drained, v) })
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// exactly a shard's worth survives; the oldest `extra` are dropped and counted
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require.Len(t, drained, forwardSampleShardCap)
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require.Equal(t, uint64(extra), b.dropped.Load())
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// survivors are the most recent cap samples, in order
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for j, v := range drained {
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require.Equal(t, int64(extra+j)*1000, v)
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}
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}
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func TestForwardSampleBuffer_DefersUncommitted(t *testing.T) {
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var b forwardSampleBuffer
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sh := &b.shards[0]
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// simulate a producer that reserved index 0 but has not published its value
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sh.writeIdx.Store(1)
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got := 0
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b.drain(func(int64) { got++ })
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require.Equal(t, 0, got, "uncommitted slot must not be read")
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require.Equal(t, uint64(0), sh.readIdx, "cursor must not advance past an uncommitted slot")
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require.Equal(t, uint64(0), b.dropped.Load())
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// producer publishes the value; next drain picks it up
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sh.ring[0].Store(1234)
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sh.seq[0].Store(1)
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var vals []int64
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b.drain(func(v int64) { vals = append(vals, v) })
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require.Equal(t, []int64{1234}, vals)
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require.Equal(t, uint64(1), sh.readIdx)
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require.Equal(t, uint64(0), b.dropped.Load())
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}
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func TestForwardSampleBuffer_Concurrent(t *testing.T) {
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var b forwardSampleBuffer
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var stop atomic.Bool
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var consumed int64
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done := make(chan struct{})
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go func() {
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defer close(done)
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for !stop.Load() {
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b.drain(func(int64) { consumed++ })
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time.Sleep(time.Millisecond)
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}
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b.drain(func(int64) { consumed++ }) // final sweep
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}()
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const producers = 8
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const perProducer = 100_000
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var wg sync.WaitGroup
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for p := 0; p < producers; p++ {
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wg.Add(1)
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go func(seed int64) {
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defer wg.Done()
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for i := int64(0); i < perProducer; i++ {
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b.push(seed*7+i, (i%50)*int64(time.Microsecond))
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}
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}(int64(p))
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}
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wg.Wait()
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stop.Store(true)
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<-done
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// with a consumer keeping pace no samples should be lost
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require.Equal(t, int64(producers*perProducer), consumed+int64(b.dropped.Load()))
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}
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// ---------------------------------------------------------------------------
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// ForwardStats
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// ---------------------------------------------------------------------------
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func TestForwardStats_Update(t *testing.T) {
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s := &ForwardStats{ring: make([]forwardSummary, 1)}
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// below threshold
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transit, isHigh := s.Update(1000, 1000+int64(5*time.Millisecond))
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require.Equal(t, int64(5*time.Millisecond), transit)
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require.False(t, isHigh)
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// above threshold
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transit, isHigh = s.Update(1000, 1000+int64(25*time.Millisecond))
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require.Equal(t, int64(25*time.Millisecond), transit)
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require.True(t, isHigh)
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// exactly at threshold is not "high" (strictly greater)
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_, isHigh = s.Update(0, int64(cHighForwardingLatency))
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require.False(t, isHigh)
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}
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func TestForwardStats_Flush(t *testing.T) {
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initPrometheus(t)
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s := &ForwardStats{ring: make([]forwardSummary, 4)}
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for i := 0; i < 10; i++ {
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s.Update(0, int64((i+1)*1000)) // 1us..10us
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}
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s.flush()
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require.Equal(t, 1, s.ringLen)
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summ := s.ring[0]
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require.Equal(t, int64(10), summ.count)
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require.Equal(t, int64(1000), summ.minNs)
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require.Equal(t, int64(10000), summ.maxNs)
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require.Equal(t, uint64(0), s.samples.dropped.Load())
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// a subsequent flush with no new samples appends an empty summary
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s.flush()
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require.Equal(t, 2, s.ringLen)
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require.Equal(t, int64(0), s.ring[1].count)
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}
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func TestForwardStats_ReportWindow(t *testing.T) {
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initPrometheus(t)
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// window of 3 summary buckets
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s := &ForwardStats{ring: make([]forwardSummary, 3)}
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s.Update(0, 1000)
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s.flush()
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s.Update(0, 3000)
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s.flush()
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// report merges the whole window without panicking and reflects both samples
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var w forwardSummary
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for i := 0; i < s.ringLen; i++ {
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w = w.merge(s.ring[i])
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}
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require.Equal(t, int64(2), w.count)
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require.Equal(t, int64(1000), w.minNs)
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require.Equal(t, int64(3000), w.maxNs)
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require.NotPanics(t, s.report)
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}
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func TestForwardStats_GetStats(t *testing.T) {
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initPrometheus(t)
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// 5 buckets, each covering one 100ms summary interval.
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s := &ForwardStats{ring: make([]forwardSummary, 5), summaryInterval: 100 * time.Millisecond}
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// fold five 100ms buckets, one sample each: 1ms, 2ms, 3ms, 4ms, 5ms.
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for i := 1; i <= 5; i++ {
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s.Update(0, int64(i)*int64(time.Millisecond))
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s.flush()
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}
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require.Equal(t, 5, s.ringLen)
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// a duration <= 0 covers the whole window: mean of 1..5ms == 3ms.
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latency, jitter := s.GetStats(0)
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require.InDelta(t, float64(3*time.Millisecond), float64(latency), float64(50*time.Microsecond))
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require.Greater(t, jitter, time.Duration(0))
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// a duration meeting/exceeding the window also covers it.
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fullLatency, _ := s.GetStats(time.Second)
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require.InDelta(t, float64(3*time.Millisecond), float64(fullLatency), float64(50*time.Microsecond))
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// ~200ms rounds up to the two most recent buckets (4ms, 5ms): mean == 4.5ms.
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shortLatency, _ := s.GetStats(200 * time.Millisecond)
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require.InDelta(t, float64(4500*time.Microsecond), float64(shortLatency), float64(50*time.Microsecond))
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// a sub-interval duration still yields at least the most recent bucket (5ms).
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lastLatency, _ := s.GetStats(time.Nanosecond)
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require.InDelta(t, float64(5*time.Millisecond), float64(lastLatency), float64(50*time.Microsecond))
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}
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func TestForwardStats_Lifecycle(t *testing.T) {
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initPrometheus(t)
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s := NewForwardStats(5*time.Millisecond, 20*time.Millisecond, 100*time.Millisecond)
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for i := 0; i < 1000; i++ {
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s.Update(int64(i), int64(i)+int64(time.Millisecond))
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}
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time.Sleep(60 * time.Millisecond) // let the worker flush/report a few times
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require.NotPanics(t, s.Stop)
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}
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func TestNewForwardStats_RingSizing(t *testing.T) {
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// ringCap = ceil(window / summaryInterval)
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s := NewForwardStats(100*time.Millisecond, time.Second, time.Second)
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require.Equal(t, 10, len(s.ring))
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s.Stop()
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// rounds up a partial interval
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s = NewForwardStats(100*time.Millisecond, time.Second, 250*time.Millisecond)
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require.Equal(t, 3, len(s.ring))
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s.Stop()
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// never smaller than one bucket, even if window < summaryInterval
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s = NewForwardStats(time.Second, time.Second, 100*time.Millisecond)
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require.Equal(t, 1, len(s.ring))
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s.Stop()
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}
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// ---------------------------------------------------------------------------
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// benchmark: per-packet cost of Update (run with -cpu 1,8).
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// ---------------------------------------------------------------------------
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// benchArrival advances the arrival timestamp by 64ns per packet so that
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// consecutive packets from one goroutine map to successive shards
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// ((arrival>>6)&mask increments each step). A distinct per-goroutine base
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// spreads goroutines across shards.
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func benchArrival(base, i int64) int64 {
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return base + i*64
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}
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func BenchmarkForwardStatsUpdate(b *testing.B) {
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s := &ForwardStats{ring: make([]forwardSummary, 1)}
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var gid atomic.Int64
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b.RunParallel(func(pb *testing.PB) {
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base := gid.Add(1) * 1_000_003
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var i int64
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for pb.Next() {
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i++
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arrival := benchArrival(base, i)
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s.Update(arrival, arrival+int64(2*time.Millisecond))
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}
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})
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}
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