VictoriaMetrics/lib/decimal/decimal_timing_test.go
Aliaksandr Valialkin 1037053fed lib/{encoding,decimal}: add benchmarks for blocks containing zeros or ones
Time series with such values are quite common in monitoring space,
so it would be great to have benchmarks for them.
2019-11-01 16:46:08 +02:00

123 lines
2.6 KiB
Go

package decimal
import (
"fmt"
"math/rand"
"sync/atomic"
"testing"
)
func BenchmarkAppendDecimalToFloat(b *testing.B) {
b.Run("VarNums", func(b *testing.B) {
benchmarkAppendDecimalToFloat(b, testVA)
})
b.Run("Zeros", func(b *testing.B) {
benchmarkAppendDecimalToFloat(b, testZeros)
})
b.Run("Ones", func(b *testing.B) {
benchmarkAppendDecimalToFloat(b, testOnes)
})
}
func benchmarkAppendDecimalToFloat(b *testing.B, a []int64) {
b.ReportAllocs()
b.SetBytes(int64(len(a)))
b.RunParallel(func(pb *testing.PB) {
var fa []float64
for pb.Next() {
fa = AppendDecimalToFloat(fa[:0], a, 0)
atomic.AddUint64(&Sink, uint64(len(fa)))
}
})
}
var testZeros = make([]int64, 8*1024)
var testOnes = func() []int64 {
a := make([]int64, 8*1024)
for i := 0; i < len(a); i++ {
a[i] = 1
}
return a
}()
func BenchmarkAppendFloatToDecimal(b *testing.B) {
b.Run("RealFloat", func(b *testing.B) {
benchmarkAppendFloatToDecimal(b, testFAReal)
})
b.Run("Integers", func(b *testing.B) {
benchmarkAppendFloatToDecimal(b, testFAInteger)
})
b.Run("Zeros", func(b *testing.B) {
benchmarkAppendFloatToDecimal(b, testFZeros)
})
b.Run("Ones", func(b *testing.B) {
benchmarkAppendFloatToDecimal(b, testFOnes)
})
}
var testFZeros = make([]float64, 8*1024)
var testFOnes = func() []float64 {
a := make([]float64, 8*1024)
for i := 0; i < len(a); i++ {
a[i] = 1
}
return a
}()
func benchmarkAppendFloatToDecimal(b *testing.B, fa []float64) {
b.ReportAllocs()
b.SetBytes(int64(len(fa)))
b.RunParallel(func(pb *testing.PB) {
var da []int64
var e int16
var sink uint64
for pb.Next() {
da, e = AppendFloatToDecimal(da[:0], fa)
sink += uint64(len(da))
sink += uint64(e)
}
atomic.AddUint64(&Sink, sink)
})
}
var testFAReal = func() []float64 {
fa := make([]float64, 8*1024)
for i := 0; i < len(fa); i++ {
fa[i] = rand.NormFloat64() * 1e6
}
return fa
}()
var testFAInteger = func() []float64 {
fa := make([]float64, 8*1024)
for i := 0; i < len(fa); i++ {
fa[i] = float64(int(rand.NormFloat64() * 1e6))
}
return fa
}()
var testVA = func() []int64 {
va, _ := AppendFloatToDecimal(nil, testFAReal)
return va
}()
func BenchmarkFromFloat(b *testing.B) {
for _, f := range []float64{0, 1234, 12334345, 12343.4344, 123.45678901e12, 12.3454435e30} {
b.Run(fmt.Sprintf("%g", f), func(b *testing.B) {
b.ReportAllocs()
b.SetBytes(1)
b.RunParallel(func(pb *testing.PB) {
var sink uint64
for pb.Next() {
v, e := FromFloat(f)
sink += uint64(v)
sink += uint64(e)
}
atomic.AddUint64(&Sink, sink)
})
})
}
}
var Sink uint64