cadvisor/summary/percentiles_test.go
Daniel Martí 870c10c125 Export type to calculate percentiles
It will be used in heapster and kubelet too.
2015-07-21 17:52:01 -07:00

203 lines
5.2 KiB
Go

// Copyright 2015 Google Inc. All Rights Reserved.
//
// 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 summary
import (
"testing"
"time"
info "github.com/google/cadvisor/info/v2"
)
const Nanosecond = 1000000000
func assertPercentile(t *testing.T, s Uint64Slice, f float64, want uint64) {
if got := s.GetPercentile(f); got != want {
t.Errorf("GetPercentile(%f) is %d, should be %d.", f, got, want)
}
}
func TestPercentile(t *testing.T) {
N := 100
s := make(Uint64Slice, 0, N)
for i := N; i > 0; i-- {
s = append(s, uint64(i))
}
assertPercentile(t, s, 0.2, 20)
assertPercentile(t, s, 0.7, 70)
assertPercentile(t, s, 0.9, 90)
N = 105
for i := 101; i <= N; i++ {
s = append(s, uint64(i))
}
// 90p should be between 94 and 95. Promoted to 95.
assertPercentile(t, s, 0.2, 21)
assertPercentile(t, s, 0.7, 74)
assertPercentile(t, s, 0.9, 95)
}
func TestMean(t *testing.T) {
var i, N uint64
N = 100
mean := mean{count: 0, Mean: 0}
for i = 1; i < N; i++ {
mean.Add(i)
}
if mean.Mean != 50.0 {
t.Errorf("Mean is %f, should be 50.0", mean.Mean)
}
}
func TestAggregates(t *testing.T) {
N := uint64(100)
var i uint64
ct := time.Now()
stats := make([]*secondSample, 0, N)
for i = 1; i < N; i++ {
s := &secondSample{
Timestamp: ct.Add(time.Duration(i) * time.Second),
// cpu rate is 1 s/s
Cpu: i * Nanosecond,
// Memory grows by a KB every second.
Memory: i * 1024,
}
stats = append(stats, s)
}
usage := GetMinutePercentiles(stats)
// Cpu mean, max, and 90p should all be 1000 ms/s.
cpuExpected := info.Percentiles{
Present: true,
Mean: 1000,
Max: 1000,
Fifty: 1000,
Ninety: 1000,
NinetyFive: 1000,
}
if usage.Cpu != cpuExpected {
t.Errorf("cpu stats are %+v. Expected %+v", usage.Cpu, cpuExpected)
}
memExpected := info.Percentiles{
Present: true,
Mean: 50 * 1024,
Max: 99 * 1024,
Fifty: 50 * 1024,
Ninety: 90 * 1024,
NinetyFive: 95 * 1024,
}
if usage.Memory != memExpected {
t.Errorf("memory stats are mean %+v. Expected %+v", usage.Memory, memExpected)
}
}
func TestSamplesCloseInTimeIgnored(t *testing.T) {
N := uint64(100)
var i uint64
ct := time.Now()
stats := make([]*secondSample, 0, N*2)
for i = 1; i < N; i++ {
s1 := &secondSample{
Timestamp: ct.Add(time.Duration(i) * time.Second),
// cpu rate is 1 s/s
Cpu: i * Nanosecond,
// Memory grows by a KB every second.
Memory: i * 1024,
}
stats = append(stats, s1)
// Add another dummy sample too close in time to the last one.
s2 := &secondSample{
// Add extra millisecond.
Timestamp: ct.Add(time.Duration(i) * time.Second).Add(time.Duration(1) * time.Millisecond),
Cpu: i * 100 * Nanosecond,
Memory: i * 1024 * 1024,
}
stats = append(stats, s2)
}
usage := GetMinutePercentiles(stats)
// Cpu mean, max, and 90p should all be 1000 ms/s. All high-value samples are discarded.
cpuExpected := info.Percentiles{
Present: true,
Mean: 1000,
Max: 1000,
Fifty: 1000,
Ninety: 1000,
NinetyFive: 1000,
}
if usage.Cpu != cpuExpected {
t.Errorf("cpu stats are %+v. Expected %+v", usage.Cpu, cpuExpected)
}
memExpected := info.Percentiles{
Present: true,
Mean: 50 * 1024,
Max: 99 * 1024,
Fifty: 50 * 1024,
Ninety: 90 * 1024,
NinetyFive: 95 * 1024,
}
if usage.Memory != memExpected {
t.Errorf("memory stats are mean %+v. Expected %+v", usage.Memory, memExpected)
}
}
func TestDerivedStats(t *testing.T) {
N := uint64(100)
var i uint64
stats := make([]*info.Usage, 0, N)
for i = 1; i < N; i++ {
s := &info.Usage{
PercentComplete: 100,
Cpu: info.Percentiles{
Present: true,
Mean: i * Nanosecond,
Max: i * Nanosecond,
Fifty: i * Nanosecond,
Ninety: i * Nanosecond,
NinetyFive: i * Nanosecond,
},
Memory: info.Percentiles{
Present: true,
Mean: i * 1024,
Max: i * 1024,
Fifty: i * 1024,
Ninety: i * 1024,
NinetyFive: i * 1024,
},
}
stats = append(stats, s)
}
usage := GetDerivedPercentiles(stats)
cpuExpected := info.Percentiles{
Present: true,
Mean: 50 * Nanosecond,
Max: 99 * Nanosecond,
Fifty: 50 * Nanosecond,
Ninety: 90 * Nanosecond,
NinetyFive: 95 * Nanosecond,
}
if usage.Cpu != cpuExpected {
t.Errorf("cpu stats are %+v. Expected %+v", usage.Cpu, cpuExpected)
}
memExpected := info.Percentiles{
Present: true,
Mean: 50 * 1024,
Max: 99 * 1024,
Fifty: 50 * 1024,
Ninety: 90 * 1024,
NinetyFive: 95 * 1024,
}
if usage.Memory != memExpected {
t.Errorf("memory stats are mean %+v. Expected %+v", usage.Memory, memExpected)
}
}