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add more elaborate benchmark test

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Signed-off-by: Ziqi Zhao <zhaoziqi9146@gmail.com>
This commit is contained in:
Ziqi Zhao 2023-08-21 13:28:06 +08:00
parent bf880a6e77
commit 4787c879bc
2 changed files with 32 additions and 56 deletions
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6
model/histogram/float_histogram.go
View file

@ -279,8 +279,8 @@ func (h *FloatHistogram) AddNew(other *FloatHistogram) *FloatHistogram {
// TODO(beorn7): If needed, this can be optimized by inspecting the
// spans in other and create missing buckets in h in batches.
h.PositiveSpans, h.PositiveBuckets = mergeTwoSpans(h.Schema, h.ZeroThreshold, h.PositiveSpans, h.PositiveBuckets, otherPositiveSpans, otherPositiveBuckets)
h.NegativeSpans, h.NegativeBuckets = mergeTwoSpans(h.Schema, h.ZeroThreshold, h.NegativeSpans, h.NegativeBuckets, otherNegativeSpans, otherNegativeBuckets)
h.PositiveSpans, h.PositiveBuckets = addBuckets(h.Schema, h.ZeroThreshold, h.PositiveSpans, h.PositiveBuckets, otherPositiveSpans, otherPositiveBuckets)
h.NegativeSpans, h.NegativeBuckets = addBuckets(h.Schema, h.ZeroThreshold, h.NegativeSpans, h.NegativeBuckets, otherNegativeSpans, otherNegativeBuckets)
return h
}
@ -1080,7 +1080,7 @@ func mergeToSchema(originSpans []Span, originBuckets []float64, originSchema, ta
return targetSpans, targetBuckets
}
func mergeTwoSpans(schema int32, threshold float64, spansA []Span, bucketsA []float64, spansB []Span, bucketsB []float64) ([]Span, []float64) {
func addBuckets(schema int32, threshold float64, spansA []Span, bucketsA []float64, spansB []Span, bucketsB []float64) ([]Span, []float64) {
var (
iSpan int = -1
iBucket int = -1

82
model/histogram/float_histogram_test.go
View file

@ -16,6 +16,7 @@ package histogram
import (
"fmt"
"math"
"math/rand"
"testing"
"github.com/stretchr/testify/require"
@ -2705,67 +2706,42 @@ func TestFloatHistogramAddNew(t *testing.T) {
}
func BenchmarkAddOld(b *testing.B) {
// run the Fib function b.N times
f1 := &FloatHistogram{
ZeroThreshold: 0.01,
ZeroCount: 8,
Count: 21,
Sum: 1.234,
Schema: 0,
PositiveSpans: []Span{{-1, 4}, {0, 3}},
PositiveBuckets: []float64{5, 4, 2, 3, 6, 2, 5},
NegativeSpans: []Span{{4, 2}, {1, 2}},
NegativeBuckets: []float64{1, 1, 4, 4},
}
f2 := &FloatHistogram{
ZeroThreshold: 0.01,
ZeroCount: 11,
Count: 30,
Sum: 2.345,
Schema: 1,
PositiveSpans: []Span{{-4, 3}, {5, 5}},
PositiveBuckets: []float64{1, 0, 0, 3, 2, 2, 3, 4},
NegativeSpans: []Span{{6, 3}, {6, 4}},
NegativeBuckets: []float64{3, 0.5, 0.5, 2, 3, 2, 4},
}
for n := 0; n < b.N; n++ {
b.StopTimer()
f1 := createRandomFloatHistogram(50)
f2 := createRandomFloatHistogram(50)
b.StartTimer()
f1.Add(f2)
}
}
func BenchmarkAddNew(b *testing.B) {
// run the Fib function b.N times
f1 := &FloatHistogram{
ZeroThreshold: 0.01,
ZeroCount: 8,
Count: 21,
Sum: 1.234,
Schema: 0,
PositiveSpans: []Span{{-1, 4}, {0, 3}},
PositiveBuckets: []float64{5, 4, 2, 3, 6, 2, 5},
NegativeSpans: []Span{{4, 2}, {1, 2}},
NegativeBuckets: []float64{1, 1, 4, 4},
}
f2 := &FloatHistogram{
ZeroThreshold: 0.01,
ZeroCount: 11,
Count: 30,
Sum: 2.345,
Schema: 1,
PositiveSpans: []Span{{-4, 3}, {5, 5}},
PositiveBuckets: []float64{1, 0, 0, 3, 2, 2, 3, 4},
NegativeSpans: []Span{{6, 3}, {6, 4}},
NegativeBuckets: []float64{3, 0.5, 0.5, 2, 3, 2, 4},
}
for n := 0; n < b.N; n++ {
b.StopTimer()
f1 := createRandomFloatHistogram(50)
f2 := createRandomFloatHistogram(50)
b.StartTimer()
f1.AddNew(f2)
}
}
func createRandomFloatHistogram(spanNum int32) *FloatHistogram {
f := &FloatHistogram{}
f.PositiveSpans, f.PositiveBuckets = createRandomSpans(spanNum)
f.NegativeSpans, f.NegativeBuckets = createRandomSpans(spanNum)
return f
}
func createRandomSpans(spanNum int32) ([]Span, []float64) {
Spans := make([]Span, spanNum)
Buckets := make([]float64, 0)
for i := 0; i < int(spanNum); i++ {
Spans[i].Offset = rand.Int31n(spanNum) + 1
Spans[i].Length = uint32(rand.Int31n(spanNum) + 1)
for j := 0; j < int(Spans[i].Length); j++ {
Buckets = append(Buckets, float64(rand.Int31n(spanNum)+1))
}
}
return Spans, Buckets
}