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lib/streamaggr: make the BenchmarkAggregatorsPushByJobAvg closer to production case with long list of labels per sample
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@ -37,42 +37,38 @@ func benchmarkAggregatorsPush(b *testing.B, output string) {
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without: [job]
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outputs: [%q]
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`, output)
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pushCalls := 0
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pushFunc := func(tss []prompbmarshal.TimeSeries) {
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pushCalls++
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if pushCalls > 1 {
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panic(fmt.Errorf("pushFunc is expected to be called exactly once at MustStop"))
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}
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}
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pushFunc := func(tss []prompbmarshal.TimeSeries) {}
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a, err := newAggregatorsFromData([]byte(config), pushFunc, 0)
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if err != nil {
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b.Fatalf("unexpected error when initializing aggregators: %s", err)
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}
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defer a.MustStop()
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const loops = 5
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b.ReportAllocs()
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b.SetBytes(int64(len(benchSeries)))
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b.SetBytes(int64(len(benchSeries) * loops))
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b.RunParallel(func(pb *testing.PB) {
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var matchIdxs []byte
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for pb.Next() {
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matchIdxs = a.Push(benchSeries, matchIdxs)
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for i := 0; i < loops; i++ {
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matchIdxs = a.Push(benchSeries, matchIdxs)
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}
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}
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})
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}
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func newBenchSeries(seriesCount, samplesPerSeries int) []prompbmarshal.TimeSeries {
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a := make([]string, seriesCount*samplesPerSeries)
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for i := 0; i < samplesPerSeries; i++ {
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for j := 0; j < seriesCount; j++ {
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s := fmt.Sprintf(`http_requests_total{path="/foo/%d",job="foo",instance="bar"} %d`, j, i*10)
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a = append(a, s)
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}
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func newBenchSeries(seriesCount int) []prompbmarshal.TimeSeries {
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a := make([]string, seriesCount)
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for j := 0; j < seriesCount; j++ {
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s := fmt.Sprintf(`http_requests_total{path="/foo/%d",job="foo",instance="bar",pod="pod-123232312",namespace="kube-foo-bar",node="node-123-3434-443",`+
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`some_other_label="foo-bar-baz",environment="prod",label1="value1",label2="value2",label3="value3"} %d`, j, j*1000)
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a = append(a, s)
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}
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metrics := strings.Join(a, "\n")
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return mustParsePromMetrics(metrics)
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}
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const seriesCount = 10000
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const samplesPerSeries = 10
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const seriesCount = 10_000
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var benchSeries = newBenchSeries(seriesCount, samplesPerSeries)
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var benchSeries = newBenchSeries(seriesCount)
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