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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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422225bfa5
This is closer to typical production setups when deduplication is used for de-duplicating of 2 samples per series.
76 lines
1.5 KiB
Go
76 lines
1.5 KiB
Go
package streamaggr
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import (
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"fmt"
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"sync/atomic"
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"testing"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
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)
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func BenchmarkDedupAggr(b *testing.B) {
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for _, samplesPerPush := range []int{1, 10, 100, 1_000, 10_000, 100_000} {
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b.Run(fmt.Sprintf("samplesPerPush_%d", samplesPerPush), func(b *testing.B) {
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benchmarkDedupAggr(b, samplesPerPush)
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})
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}
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}
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func benchmarkDedupAggr(b *testing.B, samplesPerPush int) {
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const loops = 2
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benchSamples := newBenchSamples(samplesPerPush)
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da := newDedupAggr()
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b.ResetTimer()
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b.ReportAllocs()
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b.SetBytes(int64(samplesPerPush * loops))
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b.RunParallel(func(pb *testing.PB) {
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for pb.Next() {
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for i := 0; i < loops; i++ {
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da.pushSamples(benchSamples)
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}
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}
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})
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}
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func newBenchSamples(count int) []pushSample {
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labels := []prompbmarshal.Label{
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{
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Name: "app",
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Value: "app-123",
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},
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{
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Name: "job",
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Value: "foo-bar-baz",
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},
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{
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Name: "pod",
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Value: "pod-1-dsfdsf-dsfdsf",
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},
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{
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Name: "namespace",
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Value: "ns-asdfdsfpfd-fddf",
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},
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{
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Name: "__name__",
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Value: "process_cpu_seconds_total",
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},
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}
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labelsLen := len(labels)
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samples := make([]pushSample, count)
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var keyBuf []byte
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for i := range samples {
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sample := &samples[i]
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labels = append(labels[:labelsLen], prompbmarshal.Label{
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Name: "app",
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Value: fmt.Sprintf("instance-%d", i),
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})
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keyBuf = compressLabels(keyBuf[:0], labels[:labelsLen], labels[labelsLen:])
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sample.key = string(keyBuf)
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sample.value = float64(i)
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}
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return samples
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}
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var Sink atomic.Uint64
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