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mathutil: support exponential average #39484

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2 changes: 2 additions & 0 deletions util/mathutil/BUILD.bazel
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@ load("@io_bazel_rules_go//go:def.bzl", "go_library", "go_test")
go_library(
name = "mathutil",
srcs = [
"exponential_average.go",
"math.go",
"rand.go",
],
Expand All @@ -15,6 +16,7 @@ go_test(
name = "mathutil_test",
timeout = "short",
srcs = [
"exponential_average_test.go",
"main_test.go",
"math_test.go",
"rand_test.go",
Expand Down
54 changes: 54 additions & 0 deletions util/mathutil/exponential_average.go
Original file line number Diff line number Diff line change
@@ -0,0 +1,54 @@
// Copyright 2022 PingCAP, Inc.
//
// 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.

package mathutil

// ExponentialMovingAverage is an exponential moving average measurement implementation. It is not thread-safe.
type ExponentialMovingAverage struct {
value float64
sum float64
factor float64
warmupWindow int
count int
}

// NewExponentialMovingAverage will create a new ExponentialMovingAverage
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func NewExponentialMovingAverage(
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@Defined2014 Defined2014 Dec 1, 2022

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Could we add a default param for this struct? It's hard for me to decide what factor and warmupWindow to use in sometime.

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It is hard. Different businesses have different characteristics. Someone has high sampling rate. so they want to have a less warnup windows. All in all, developer must accord their business characteristics to decide.

factor float64,
warmupWindow int,
) *ExponentialMovingAverage {
if factor >= 1 || factor <= 0 {
panic("factor must be (0, 1)")
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}
return &ExponentialMovingAverage{
factor: factor,
warmupWindow: warmupWindow,
}
}

// Add a single sample and update the internal state.
func (m *ExponentialMovingAverage) Add(value float64) {
if m.count < m.warmupWindow {
m.count++
m.sum += value
m.value = m.sum / float64(m.count)
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} else {
m.value = m.value*(1-m.factor) + value*m.factor
}
}

// Get the current value.
func (m *ExponentialMovingAverage) Get() float64 {
return m.value
}
39 changes: 39 additions & 0 deletions util/mathutil/exponential_average_test.go
Original file line number Diff line number Diff line change
@@ -0,0 +1,39 @@
// Copyright 2022 PingCAP, Inc.
//
// 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.

package mathutil

import (
"testing"

"github.com/stretchr/testify/require"
)

var samples = [100]float64{
1576, 1524, 6746, 6426, 9476, 1721, 8528, 7827, 8613, 6969, 4200, 4686, 2408, 3956, 7105, 1341,
9938, 9789, 6199, 4868, 4280, 7738, 7219, 3388, 2431, 1193, 1954, 2147, 7726, 3545, 8043, 2379,
4859, 4247, 2873, 6419, 3114, 3132, 6534, 8515, 1632, 9710, 6699, 1552, 2412, 4679, 4499, 9577,
7528, 8931, 7904, 5104, 8533, 7633, 4933, 1078, 3209, 1168, 1421, 4495, 2333, 1439, 8584, 7814,
4320, 9569, 1370, 6635, 7870, 2828, 1599, 3592, 1934, 5944, 9418, 4143, 2285, 6756, 2674, 7293,
4206, 5279, 9744, 2610, 2760, 9176, 1731, 3877, 2084, 2016, 3505, 5951, 4797, 5948, 8287, 8641,
9349, 2690, 3820, 3895,
}

func TestExponential(t *testing.T) {
win := NewExponentialMovingAverage(0.8, 2)
for _, s := range samples {
win.Add(s)
}
require.Equal(t, int64(3886), int64(win.Get()))
}