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report.go 6.43 KB
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Anthony Romano 提交于 2017-05-17 16:05 . report: add NewWeightedReport
// Copyright 2014 The etcd Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// the file is borrowed from github.com/rakyll/boom/boomer/print.go
package report
import (
"fmt"
"math"
"sort"
"strings"
"time"
)
const (
barChar = "∎"
)
// Result describes the timings for an operation.
type Result struct {
Start time.Time
End time.Time
Err error
Weight float64
}
func (res *Result) Duration() time.Duration { return res.End.Sub(res.Start) }
type report struct {
results chan Result
precision string
stats Stats
sps *secondPoints
}
// Stats exposes results raw data.
type Stats struct {
AvgTotal float64
Fastest float64
Slowest float64
Average float64
Stddev float64
RPS float64
Total time.Duration
ErrorDist map[string]int
Lats []float64
TimeSeries TimeSeries
}
func (s *Stats) copy() Stats {
ss := *s
ss.ErrorDist = copyMap(ss.ErrorDist)
ss.Lats = copyFloats(ss.Lats)
return ss
}
// Report processes a result stream until it is closed, then produces a
// string with information about the consumed result data.
type Report interface {
Results() chan<- Result
// Run returns results in print-friendly format.
Run() <-chan string
// Stats returns results in raw data.
Stats() <-chan Stats
}
func NewReport(precision string) Report { return newReport(precision) }
func newReport(precision string) *report {
r := &report{
results: make(chan Result, 16),
precision: precision,
}
r.stats.ErrorDist = make(map[string]int)
return r
}
func NewReportSample(precision string) Report {
r := NewReport(precision).(*report)
r.sps = newSecondPoints()
return r
}
func (r *report) Results() chan<- Result { return r.results }
func (r *report) Run() <-chan string {
donec := make(chan string, 1)
go func() {
defer close(donec)
r.processResults()
donec <- r.String()
}()
return donec
}
func (r *report) Stats() <-chan Stats {
donec := make(chan Stats, 1)
go func() {
defer close(donec)
r.processResults()
s := r.stats.copy()
if r.sps != nil {
s.TimeSeries = r.sps.getTimeSeries()
}
donec <- s
}()
return donec
}
func copyMap(m map[string]int) (c map[string]int) {
c = make(map[string]int, len(m))
for k, v := range m {
c[k] = v
}
return
}
func copyFloats(s []float64) (c []float64) {
c = make([]float64, len(s))
copy(c, s)
return
}
func (r *report) String() (s string) {
if len(r.stats.Lats) > 0 {
s += fmt.Sprintf("\nSummary:\n")
s += fmt.Sprintf(" Total:\t%s.\n", r.sec2str(r.stats.Total.Seconds()))
s += fmt.Sprintf(" Slowest:\t%s.\n", r.sec2str(r.stats.Slowest))
s += fmt.Sprintf(" Fastest:\t%s.\n", r.sec2str(r.stats.Fastest))
s += fmt.Sprintf(" Average:\t%s.\n", r.sec2str(r.stats.Average))
s += fmt.Sprintf(" Stddev:\t%s.\n", r.sec2str(r.stats.Stddev))
s += fmt.Sprintf(" Requests/sec:\t"+r.precision+"\n", r.stats.RPS)
s += r.histogram()
s += r.sprintLatencies()
if r.sps != nil {
s += fmt.Sprintf("%v\n", r.sps.getTimeSeries())
}
}
if len(r.stats.ErrorDist) > 0 {
s += r.errors()
}
return s
}
func (r *report) sec2str(sec float64) string { return fmt.Sprintf(r.precision+" secs", sec) }
type reportRate struct{ *report }
func NewReportRate(precision string) Report {
return &reportRate{NewReport(precision).(*report)}
}
func (r *reportRate) String() string {
return fmt.Sprintf(" Requests/sec:\t"+r.precision+"\n", r.stats.RPS)
}
func (r *report) processResult(res *Result) {
if res.Err != nil {
r.stats.ErrorDist[res.Err.Error()]++
return
}
dur := res.Duration()
r.stats.Lats = append(r.stats.Lats, dur.Seconds())
r.stats.AvgTotal += dur.Seconds()
if r.sps != nil {
r.sps.Add(res.Start, dur)
}
}
func (r *report) processResults() {
st := time.Now()
for res := range r.results {
r.processResult(&res)
}
r.stats.Total = time.Since(st)
r.stats.RPS = float64(len(r.stats.Lats)) / r.stats.Total.Seconds()
r.stats.Average = r.stats.AvgTotal / float64(len(r.stats.Lats))
for i := range r.stats.Lats {
dev := r.stats.Lats[i] - r.stats.Average
r.stats.Stddev += dev * dev
}
r.stats.Stddev = math.Sqrt(r.stats.Stddev / float64(len(r.stats.Lats)))
sort.Float64s(r.stats.Lats)
if len(r.stats.Lats) > 0 {
r.stats.Fastest = r.stats.Lats[0]
r.stats.Slowest = r.stats.Lats[len(r.stats.Lats)-1]
}
}
var pctls = []float64{10, 25, 50, 75, 90, 95, 99, 99.9}
// Percentiles returns percentile distribution of float64 slice.
func Percentiles(nums []float64) (pcs []float64, data []float64) {
return pctls, percentiles(nums)
}
func percentiles(nums []float64) (data []float64) {
data = make([]float64, len(pctls))
j := 0
n := len(nums)
for i := 0; i < n && j < len(pctls); i++ {
current := float64(i) * 100.0 / float64(n)
if current >= pctls[j] {
data[j] = nums[i]
j++
}
}
return
}
func (r *report) sprintLatencies() string {
data := percentiles(r.stats.Lats)
s := fmt.Sprintf("\nLatency distribution:\n")
for i := 0; i < len(pctls); i++ {
if data[i] > 0 {
s += fmt.Sprintf(" %v%% in %s.\n", pctls[i], r.sec2str(data[i]))
}
}
return s
}
func (r *report) histogram() string {
bc := 10
buckets := make([]float64, bc+1)
counts := make([]int, bc+1)
bs := (r.stats.Slowest - r.stats.Fastest) / float64(bc)
for i := 0; i < bc; i++ {
buckets[i] = r.stats.Fastest + bs*float64(i)
}
buckets[bc] = r.stats.Slowest
var bi int
var max int
for i := 0; i < len(r.stats.Lats); {
if r.stats.Lats[i] <= buckets[bi] {
i++
counts[bi]++
if max < counts[bi] {
max = counts[bi]
}
} else if bi < len(buckets)-1 {
bi++
}
}
s := fmt.Sprintf("\nResponse time histogram:\n")
for i := 0; i < len(buckets); i++ {
// Normalize bar lengths.
var barLen int
if max > 0 {
barLen = counts[i] * 40 / max
}
s += fmt.Sprintf(" "+r.precision+" [%v]\t|%v\n", buckets[i], counts[i], strings.Repeat(barChar, barLen))
}
return s
}
func (r *report) errors() string {
s := fmt.Sprintf("\nError distribution:\n")
for err, num := range r.stats.ErrorDist {
s += fmt.Sprintf(" [%d]\t%s\n", num, err)
}
return s
}
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