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benchmarks_test.go
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/
benchmarks_test.go
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package tdigest
import (
"math/rand"
"testing"
)
const rngSeed = 1234567
type valueSource interface {
Next() float64
}
func benchmarkAdd(b *testing.B, n int, src valueSource) {
valsToAdd := make([]float64, n)
d := NewWithCompression(100)
for i := 0; i < n; i++ {
v := src.Next()
valsToAdd[i] = v
d.Add(v, 1)
}
b.ResetTimer()
for i := 0; i < b.N; i++ {
d.Add(valsToAdd[i%n], 1)
}
b.StopTimer()
}
func benchmarkQuantile(b *testing.B, n int, src valueSource) {
quantilesToCheck := make([]float64, n)
d := NewWithCompression(100)
for i := 0; i < n; i++ {
v := src.Next()
quantilesToCheck[i] = v
d.Add(v, 1)
}
b.ResetTimer()
for i := 0; i < b.N; i++ {
_ = d.Quantile(quantilesToCheck[i%n])
}
b.StopTimer()
}
type orderedValues struct {
last float64
}
func (ov *orderedValues) Next() float64 {
ov.last += 1
return ov.last
}
func BenchmarkAdd_1k_Ordered(b *testing.B) {
benchmarkAdd(b, 1000, &orderedValues{})
}
func BenchmarkAdd_10k_Ordered(b *testing.B) {
benchmarkAdd(b, 10000, &orderedValues{})
}
func BenchmarkAdd_100k_Ordered(b *testing.B) {
benchmarkAdd(b, 100000, &orderedValues{})
}
func BenchmarkQuantile_1k_Ordered(b *testing.B) {
benchmarkQuantile(b, 1000, &orderedValues{})
}
func BenchmarkQuantile_10k_Ordered(b *testing.B) {
benchmarkQuantile(b, 10000, &orderedValues{})
}
func BenchmarkQuantile_100k_Ordered(b *testing.B) {
benchmarkQuantile(b, 100000, &orderedValues{})
}
type zipfValues struct {
z *rand.Zipf
}
func newZipfValues() *zipfValues {
r := rand.New(rand.NewSource(rngSeed))
z := rand.NewZipf(r, 1.2, 1, 1024*1024)
return &zipfValues{
z: z,
}
}
func (zv *zipfValues) Next() float64 {
return float64(zv.z.Uint64())
}
func BenchmarkAdd_1k_Zipfian(b *testing.B) {
benchmarkAdd(b, 1000, newZipfValues())
}
func BenchmarkAdd_10k_Zipfian(b *testing.B) {
benchmarkAdd(b, 10000, newZipfValues())
}
func BenchmarkAdd_100k_Zipfian(b *testing.B) {
benchmarkAdd(b, 100000, newZipfValues())
}
func BenchmarkQuantile_1k_Zipfian(b *testing.B) {
benchmarkQuantile(b, 1000, newZipfValues())
}
func BenchmarkQuantile_10k_Zipfian(b *testing.B) {
benchmarkQuantile(b, 10000, newZipfValues())
}
func BenchmarkQuantile_100k_Zipfian(b *testing.B) {
benchmarkQuantile(b, 100000, newZipfValues())
}
type uniformValues struct {
r *rand.Rand
}
func newUniformValues() *uniformValues {
return &uniformValues{rand.New(rand.NewSource(rngSeed))}
}
func (uv *uniformValues) Next() float64 {
return uv.r.Float64()
}
func BenchmarkAdd_1k_Uniform(b *testing.B) {
benchmarkAdd(b, 1000, newUniformValues())
}
func BenchmarkAdd_10k_Uniform(b *testing.B) {
benchmarkAdd(b, 10000, newUniformValues())
}
func BenchmarkAdd_100k_Uniform(b *testing.B) {
benchmarkAdd(b, 100000, newUniformValues())
}
func BenchmarkQuantile_1k_Uniform(b *testing.B) {
benchmarkQuantile(b, 1000, newUniformValues())
}
func BenchmarkQuantile_10k_Uniform(b *testing.B) {
benchmarkQuantile(b, 10000, newUniformValues())
}
func BenchmarkQuantile_100k_Uniform(b *testing.B) {
benchmarkQuantile(b, 100000, newUniformValues())
}
type normalValues struct {
r *rand.Rand
}
func newNormalValues() *normalValues {
return &normalValues{rand.New(rand.NewSource(rngSeed))}
}
func (uv *normalValues) Next() float64 {
return uv.r.NormFloat64()
}
func BenchmarkAdd_1k_Normal(b *testing.B) {
benchmarkAdd(b, 1000, newNormalValues())
}
func BenchmarkAdd_10k_Normal(b *testing.B) {
benchmarkAdd(b, 10000, newNormalValues())
}
func BenchmarkAdd_100k_Normal(b *testing.B) {
benchmarkAdd(b, 100000, newNormalValues())
}
func BenchmarkQuantile_1k_Normal(b *testing.B) {
benchmarkQuantile(b, 1000, newNormalValues())
}
func BenchmarkQuantile_10k_Normal(b *testing.B) {
benchmarkQuantile(b, 10000, newNormalValues())
}
func BenchmarkQuantile_100k_Normal(b *testing.B) {
benchmarkQuantile(b, 100000, newNormalValues())
}