VictoriaMetrics/lib/streamaggr/streamaggr_timing_test.go

78 lines
1.7 KiB
Go

package streamaggr
import (
"fmt"
"strings"
"testing"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
)
func BenchmarkAggregatorsPushByJobAvg(b *testing.B) {
for _, output := range []string{
"total",
"increase",
"count_series",
"count_samples",
"sum_samples",
"last",
"min",
"max",
"avg",
"stddev",
"stdvar",
"histogram_bucket",
"quantiles(0, 0.5, 1)",
} {
b.Run(fmt.Sprintf("output=%s", output), func(b *testing.B) {
benchmarkAggregatorsPush(b, output)
})
}
}
func benchmarkAggregatorsPush(b *testing.B, output string) {
config := fmt.Sprintf(`
- match: http_requests_total
interval: 24h
without: [job]
outputs: [%q]
`, output)
pushCalls := 0
pushFunc := func(tss []prompbmarshal.TimeSeries) {
pushCalls++
if pushCalls > 1 {
panic(fmt.Errorf("pushFunc is expected to be called exactly once at MustStop"))
}
}
a, err := newAggregatorsFromData([]byte(config), pushFunc, 0)
if err != nil {
b.Fatalf("unexpected error when initializing aggregators: %s", err)
}
defer a.MustStop()
b.ReportAllocs()
b.SetBytes(int64(len(benchSeries)))
b.RunParallel(func(pb *testing.PB) {
var matchIdxs []byte
for pb.Next() {
matchIdxs = a.Push(benchSeries, matchIdxs)
}
})
}
func newBenchSeries(seriesCount, samplesPerSeries int) []prompbmarshal.TimeSeries {
a := make([]string, seriesCount*samplesPerSeries)
for i := 0; i < samplesPerSeries; i++ {
for j := 0; j < seriesCount; j++ {
s := fmt.Sprintf(`http_requests_total{path="/foo/%d",job="foo",instance="bar"} %d`, j, i*10)
a = append(a, s)
}
}
metrics := strings.Join(a, "\n")
return mustParsePromMetrics(metrics)
}
const seriesCount = 10000
const samplesPerSeries = 10
var benchSeries = newBenchSeries(seriesCount, samplesPerSeries)