hdrbench

package module

v0.0.0-...-842f514 Latest Latest Go to latest Published: Sep 30, 2016 License: Apache-2.0 Imports: 12 Imported by: 0

Details

Valid go.mod file
Redistributable license
Tagged version
Stable version
Learn more about best practices

Repository

github.com/octo47/hdrbench

Links

Open Source Insights

Documentation ¶

Index ¶

func Diff(numbers []float64, numbersOther []float64) []float64
func DiffRelative(original []float64, derived []float64) []float64
func Downsample(values []float64, step int, q []float64) []float64
func Mean(numbers []float64) float64
func Median(numbers []float64) float64
func Mode(numbers []float64) (modes []float64)
func PlotDatasets(ds []*Dataset, fname string, batchSize int) error
func QSortFloat(a []float64) []float64
func Quantile(numbers []float64, n float64) (float64, int64)
func Quantiles(numbers []float64, n []float64) []float64
func Round(n float64) int64
func StdDev(numbers []float64, mean float64) float64
func Sum(numbers []float64) (total float64)
type Dataset
type Histogram

Constants ¶

This section is empty.

Variables ¶

This section is empty.

Functions ¶

func Diff ¶

func Diff(numbers []float64, numbersOther []float64) []float64

func DiffRelative ¶

func DiffRelative(original []float64, derived []float64) []float64

func Downsample ¶

func Downsample(values []float64, step int, q []float64) []float64

process in ranges, returning quantiles for every range.

func Mean ¶

func Mean(numbers []float64) float64

func Median ¶

func Median(numbers []float64) float64

func Mode ¶

func Mode(numbers []float64) (modes []float64)

func PlotDatasets ¶

func PlotDatasets(ds []*Dataset, fname string, batchSize int) error

func QSortFloat ¶

func QSortFloat(a []float64) []float64

Go uses interfaces for sorting, that is quite slow.

func Quantile ¶

func Quantile(numbers []float64, n float64) (float64, int64)

func Quantiles ¶

func Quantiles(numbers []float64, n []float64) []float64

func Round ¶

func Round(n float64) int64

Go doesn't have Round function :( https://github.com/golang/go/issues/4594

func StdDev ¶

func StdDev(numbers []float64, mean float64) float64

func Sum ¶

func Sum(numbers []float64) (total float64)

Types ¶

type Dataset ¶

type Dataset struct {
	// contains filtered or unexported fields
}

func NewDataset ¶

func NewDataset(name string, dataset []float64, upper, lower float64) *Dataset

func NewLatencyDataset ¶

func NewLatencyDataset(name string, baseSeed, mixinSeed int64, min, max float64, n int) *Dataset

func NewLatencyDatasets ¶

func NewLatencyDatasets(rnd *rand.Rand, n int, datasets int, outliers int) []*Dataset

func (*Dataset) IntValue ¶

func (fd *Dataset) IntValue(idx int, scaleToInt float64) int64

func (*Dataset) LowerBound ¶

func (e *Dataset) LowerBound() float64

func (*Dataset) Max ¶

func (e *Dataset) Max() float64

func (*Dataset) MaxInt ¶

func (e *Dataset) MaxInt(scaleToInt float64) int64

func (*Dataset) Mean ¶

func (e *Dataset) Mean() float64

func (*Dataset) MeanInt ¶

func (e *Dataset) MeanInt(scaleToInt float64) int64

func (*Dataset) Min ¶

func (e *Dataset) Min() float64

func (*Dataset) MinInt ¶

func (e *Dataset) MinInt(scaleToInt float64) int64

func (*Dataset) Sort ¶

func (e *Dataset) Sort()

func (*Dataset) UpperBound ¶

func (e *Dataset) UpperBound() float64

func (*Dataset) UsedMem ¶

func (fd *Dataset) UsedMem() int64

type Histogram ¶

type Histogram interface {
	Name() string
	// Calculate quantiles
	Quantiles(qin []float64) ([]float64, error)
	ValueAtQuantile(qin float64) int64
	SignificantFigures() int64
	UsedMem() int64
	Reset()
	RecordValues(datasets []*Dataset, start, stop int) error
}

func NewCircosusHist ¶

func NewCircosusHist() (Histogram, error)

func NewHdrHist ¶

func NewHdrHist(min int64, max int64, sigDigits int, scaleToInt float64) (Histogram, error)

func NewPreceiseHist ¶

func NewPreceiseHist() (Histogram, error)

Source Files ¶

View all Source files

Directories ¶

Path	Synopsis
circonusllhist Package circllhist provides an implementation of Circonus' fixed log-linear histogram data structure.	Package circllhist provides an implementation of Circonus' fixed log-linear histogram data structure.
cmd
histo command
gnuplot gnuplot is a simple minded set of functions to manage a gnuplot subprocess in order to plot data.	gnuplot is a simple minded set of functions to manage a gnuplot subprocess in order to plot data.

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