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See https://docs.victoriametrics.com/stream-aggregation.html Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3460
74 lines
1.6 KiB
Go
74 lines
1.6 KiB
Go
package streamaggr
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import (
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"fmt"
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"strings"
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"testing"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
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)
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func BenchmarkAggregatorsPushByJobAvg(b *testing.B) {
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for _, output := range []string{
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"total",
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"increase",
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"count_series",
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"count_samples",
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"sum_samples",
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"last",
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"min",
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"max",
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"avg",
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"stddev",
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"stdvar",
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"histogram_bucket",
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"quantiles(0, 0.5, 1)",
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} {
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b.Run(fmt.Sprintf("output=%s", output), func(b *testing.B) {
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benchmarkAggregatorsPush(b, output)
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})
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}
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}
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func benchmarkAggregatorsPush(b *testing.B, output string) {
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config := fmt.Sprintf(`
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- match: http_requests_total
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interval: 24h
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without: [job]
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outputs: [%q]
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`, output)
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pushFunc := func(tss []prompbmarshal.TimeSeries) {
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panic(fmt.Errorf("unexpected pushFunc call"))
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}
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a, err := NewAggregatorsFromData([]byte(config), pushFunc)
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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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b.ReportAllocs()
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b.SetBytes(int64(len(benchSeries)))
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b.RunParallel(func(pb *testing.PB) {
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for pb.Next() {
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a.Push(benchSeries)
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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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}
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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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var benchSeries = newBenchSeries(seriesCount, samplesPerSeries)
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