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report.go
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// 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 cmd
import (
"fmt"
"math"
"sort"
"strings"
"time"
)
const (
barChar = "∎"
)
type result struct {
errStr string
duration time.Duration
happened time.Time
}
type report struct {
avgTotal float64
fastest float64
slowest float64
average float64
stddev float64
rps float64
results chan result
total time.Duration
errorDist map[string]int
lats []float64
sps *secondPoints
}
func printReport(results chan result) <-chan struct{} {
return wrapReport(func() {
r := &report{
results: results,
errorDist: make(map[string]int),
sps: newSecondPoints(),
}
r.finalize()
r.print()
})
}
func printRate(results chan result) <-chan struct{} {
return wrapReport(func() {
r := &report{
results: results,
errorDist: make(map[string]int),
sps: newSecondPoints(),
}
r.finalize()
fmt.Printf(" Requests/sec:\t%4.4f\n", r.rps)
})
}
func wrapReport(f func()) <-chan struct{} {
donec := make(chan struct{})
go func() {
defer close(donec)
f()
}()
return donec
}
func (r *report) finalize() {
st := time.Now()
for res := range r.results {
if res.errStr != "" {
r.errorDist[res.errStr]++
} else {
r.sps.Add(res.happened, res.duration)
r.lats = append(r.lats, res.duration.Seconds())
r.avgTotal += res.duration.Seconds()
}
}
r.total = time.Since(st)
r.rps = float64(len(r.lats)) / r.total.Seconds()
r.average = r.avgTotal / float64(len(r.lats))
for i := range r.lats {
dev := r.lats[i] - r.average
r.stddev += dev * dev
}
r.stddev = math.Sqrt(r.stddev / float64(len(r.lats)))
}
func (r *report) print() {
sort.Float64s(r.lats)
if len(r.lats) > 0 {
r.fastest = r.lats[0]
r.slowest = r.lats[len(r.lats)-1]
fmt.Printf("\nSummary:\n")
fmt.Printf(" Total:\t%4.4f secs.\n", r.total.Seconds())
fmt.Printf(" Slowest:\t%4.4f secs.\n", r.slowest)
fmt.Printf(" Fastest:\t%4.4f secs.\n", r.fastest)
fmt.Printf(" Average:\t%4.4f secs.\n", r.average)
fmt.Printf(" Stddev:\t%4.4f secs.\n", r.stddev)
fmt.Printf(" Requests/sec:\t%4.4f\n", r.rps)
r.printHistogram()
r.printLatencies()
if sample {
r.printSecondSample()
}
}
if len(r.errorDist) > 0 {
r.printErrors()
}
}
// Prints percentile latencies.
func (r *report) printLatencies() {
pctls := []int{10, 25, 50, 75, 90, 95, 99}
data := make([]float64, len(pctls))
j := 0
for i := 0; i < len(r.lats) && j < len(pctls); i++ {
current := i * 100 / len(r.lats)
if current >= pctls[j] {
data[j] = r.lats[i]
j++
}
}
fmt.Printf("\nLatency distribution:\n")
for i := 0; i < len(pctls); i++ {
if data[i] > 0 {
fmt.Printf(" %v%% in %4.4f secs.\n", pctls[i], data[i])
}
}
}
func (r *report) printSecondSample() {
fmt.Println(r.sps.getTimeSeries())
}
func (r *report) printHistogram() {
bc := 10
buckets := make([]float64, bc+1)
counts := make([]int, bc+1)
bs := (r.slowest - r.fastest) / float64(bc)
for i := 0; i < bc; i++ {
buckets[i] = r.fastest + bs*float64(i)
}
buckets[bc] = r.slowest
var bi int
var max int
for i := 0; i < len(r.lats); {
if r.lats[i] <= buckets[bi] {
i++
counts[bi]++
if max < counts[bi] {
max = counts[bi]
}
} else if bi < len(buckets)-1 {
bi++
}
}
fmt.Printf("\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
}
fmt.Printf(" %4.3f [%v]\t|%v\n", buckets[i], counts[i], strings.Repeat(barChar, barLen))
}
}
func (r *report) printErrors() {
fmt.Printf("\nError distribution:\n")
for err, num := range r.errorDist {
fmt.Printf(" [%d]\t%s\n", num, err)
}
}