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https://gitlab.com/pulsechaincom/go-pulse.git
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0851646e48
This PR adds service value measurement statistics to the light client. It also adds a private API that makes these statistics accessible. A follow-up PR will add the new server pool which uses these statistics to select servers with good performance. This document describes the function of the new components: https://gist.github.com/zsfelfoldi/3c7ace895234b7b345ab4f71dab102d4 Co-authored-by: rjl493456442 <garyrong0905@gmail.com> Co-authored-by: rjl493456442 <garyrong0905@gmail.com>
138 lines
4.7 KiB
Go
138 lines
4.7 KiB
Go
// Copyright 2020 The go-ethereum Authors
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// This file is part of the go-ethereum library.
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//
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// The go-ethereum library is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Lesser General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// The go-ethereum library is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU Lesser General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public License
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// along with the go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
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package client
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import (
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"math"
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"math/rand"
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"testing"
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"time"
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"github.com/ethereum/go-ethereum/les/utils"
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)
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func TestTransition(t *testing.T) {
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var epsilon = 0.01
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var cases = []time.Duration{
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time.Millisecond, minResponseTime,
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time.Second, time.Second * 5, maxResponseTime,
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}
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for _, c := range cases {
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got := StatScaleToTime(TimeToStatScale(c))
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if float64(got)*(1+epsilon) < float64(c) || float64(got)*(1-epsilon) > float64(c) {
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t.Fatalf("Failed to transition back")
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}
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}
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// If the time is too large(exceeds the max response time.
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got := StatScaleToTime(TimeToStatScale(2 * maxResponseTime))
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if float64(got)*(1+epsilon) < float64(maxResponseTime) || float64(got)*(1-epsilon) > float64(maxResponseTime) {
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t.Fatalf("Failed to transition back")
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}
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}
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var maxResponseWeights = TimeoutWeights(maxResponseTime)
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func TestValue(t *testing.T) {
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noexp := utils.ExpirationFactor{Factor: 1}
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for i := 0; i < 1000; i++ {
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max := minResponseTime + time.Duration(rand.Int63n(int64(maxResponseTime-minResponseTime)))
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min := minResponseTime + time.Duration(rand.Int63n(int64(max-minResponseTime)))
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timeout := max/2 + time.Duration(rand.Int63n(int64(maxResponseTime-max/2)))
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s := makeRangeStats(min, max, 1000, noexp)
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value := s.Value(TimeoutWeights(timeout), noexp)
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// calculate the average weight (the average of the given range of the half cosine
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// weight function).
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minx := math.Pi / 2 * float64(min) / float64(timeout)
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maxx := math.Pi / 2 * float64(max) / float64(timeout)
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avgWeight := (math.Sin(maxx) - math.Sin(minx)) / (maxx - minx)
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expv := 1000 * avgWeight
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if expv < 0 {
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expv = 0
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}
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if value < expv-10 || value > expv+10 {
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t.Errorf("Value failed (expected %v, got %v)", expv, value)
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}
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}
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}
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func TestAddSubExpire(t *testing.T) {
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var (
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sum1, sum2 ResponseTimeStats
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sum1ValueExp, sum2ValueExp float64
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logOffset utils.Fixed64
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)
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for i := 0; i < 1000; i++ {
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exp := utils.ExpFactor(logOffset)
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max := minResponseTime + time.Duration(rand.Int63n(int64(maxResponseTime-minResponseTime)))
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min := minResponseTime + time.Duration(rand.Int63n(int64(max-minResponseTime)))
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s := makeRangeStats(min, max, 1000, exp)
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value := s.Value(maxResponseWeights, exp)
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sum1.AddStats(&s)
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sum1ValueExp += value
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if rand.Intn(2) == 1 {
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sum2.AddStats(&s)
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sum2ValueExp += value
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}
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logOffset += utils.Float64ToFixed64(0.001 / math.Log(2))
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sum1ValueExp -= sum1ValueExp * 0.001
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sum2ValueExp -= sum2ValueExp * 0.001
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}
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exp := utils.ExpFactor(logOffset)
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sum1Value := sum1.Value(maxResponseWeights, exp)
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if sum1Value < sum1ValueExp*0.99 || sum1Value > sum1ValueExp*1.01 {
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t.Errorf("sum1Value failed (expected %v, got %v)", sum1ValueExp, sum1Value)
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}
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sum2Value := sum2.Value(maxResponseWeights, exp)
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if sum2Value < sum2ValueExp*0.99 || sum2Value > sum2ValueExp*1.01 {
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t.Errorf("sum2Value failed (expected %v, got %v)", sum2ValueExp, sum2Value)
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}
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diff := sum1
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diff.SubStats(&sum2)
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diffValue := diff.Value(maxResponseWeights, exp)
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diffValueExp := sum1ValueExp - sum2ValueExp
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if diffValue < diffValueExp*0.99 || diffValue > diffValueExp*1.01 {
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t.Errorf("diffValue failed (expected %v, got %v)", diffValueExp, diffValue)
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}
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}
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func TestTimeout(t *testing.T) {
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testTimeoutRange(t, 0, time.Second)
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testTimeoutRange(t, time.Second, time.Second*2)
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testTimeoutRange(t, time.Second, maxResponseTime)
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}
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func testTimeoutRange(t *testing.T, min, max time.Duration) {
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s := makeRangeStats(min, max, 1000, utils.ExpirationFactor{Factor: 1})
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for i := 2; i < 9; i++ {
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to := s.Timeout(float64(i) / 10)
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exp := max - (max-min)*time.Duration(i)/10
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tol := (max - min) / 50
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if to < exp-tol || to > exp+tol {
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t.Errorf("Timeout failed (expected %v, got %v)", exp, to)
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}
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}
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}
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func makeRangeStats(min, max time.Duration, amount float64, exp utils.ExpirationFactor) ResponseTimeStats {
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var s ResponseTimeStats
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amount /= 1000
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for i := 0; i < 1000; i++ {
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s.Add(min+(max-min)*time.Duration(i)/999, amount, exp)
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}
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return s
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}
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