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2ffef39bb3
Previously samples were dropped on the first incomplete interval and the next complete interval. Also make sure that the de-duplication is performed just before flushing the aggregate state. This should help the case then dedup_interval = interval.
111 lines
2.5 KiB
Go
111 lines
2.5 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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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
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)
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var benchOutputs = []string{
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"total",
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"total_prometheus",
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"increase",
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"increase_prometheus",
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"count_series",
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"count_samples",
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"unique_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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func BenchmarkAggregatorsPush(b *testing.B) {
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for _, output := range benchOutputs {
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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 BenchmarkAggregatorsFlushSerial(b *testing.B) {
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for _, output := range benchOutputs {
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b.Run(fmt.Sprintf("output=%s", output), func(b *testing.B) {
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benchmarkAggregatorsFlushSerial(b, output)
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})
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}
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}
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func benchmarkAggregatorsFlushSerial(b *testing.B, output string) {
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pushFunc := func(tss []prompbmarshal.TimeSeries) {}
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a := newBenchAggregators(output, pushFunc)
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defer a.MustStop()
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var matchIdxs []byte
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b.ReportAllocs()
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b.SetBytes(int64(len(benchSeries)))
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for i := 0; i < b.N; i++ {
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matchIdxs = a.Push(benchSeries, matchIdxs)
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for _, aggr := range a.as {
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aggr.flush(pushFunc, time.Hour)
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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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pushFunc := func(tss []prompbmarshal.TimeSeries) {}
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a := newBenchAggregators(output, pushFunc)
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defer a.MustStop()
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const loops = 100
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b.ReportAllocs()
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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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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 newBenchAggregators(output string, pushFunc PushFunc) *Aggregators {
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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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a, err := newAggregatorsFromData([]byte(config), pushFunc, nil)
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if err != nil {
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panic(fmt.Errorf("unexpected error when initializing aggregators: %s", err))
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}
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return a
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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 = 10_000
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var benchSeries = newBenchSeries(seriesCount)
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