cadvisor/utils/percentiles_test.go
Rohit Jnagal de0e8e28eb Add percentiles utility methods.
This is copied verbatim for our older prototype. We'll use it as
a starting point for building stats summary.
2015-01-09 17:36:51 +00:00

145 lines
3.6 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 utils
import (
"testing"
"time"
"github.com/google/cadvisor/info"
)
const Nanosecond = 1000000000
func Test90Percentile(t *testing.T) {
N := 100
stats := make(uint64Slice, 0, N)
for i := N; i > 0; i-- {
stats = append(stats, uint64(i))
}
p := stats.Get90Percentile()
if p != 90 {
t.Errorf("90th percentile is %d, should be 90.", p)
}
// 90p should be between 94 and 95. Promoted to 95.
N = 105
for i := 101; i <= N; i++ {
stats = append(stats, uint64(i))
}
p = stats.Get90Percentile()
if p != 95 {
t.Errorf("90th percentile is %d, should be 95.", p)
}
}
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([]*info.ContainerStats, 0, N)
for i = 1; i < N; i++ {
s := &info.ContainerStats{
Cpu: info.CpuStats{},
Timestamp: ct.Add(time.Duration(i) * time.Second),
Memory: info.MemoryStats{
// Memory grows by a KB every second.
WorkingSet: i * 1024,
},
}
// cpu rate is 1 s/s
s.Cpu.Usage.Total = i * Nanosecond
stats = append(stats, s)
}
cpu, mem := GetPercentiles(stats)
// Cpu mean, max, and 90p should all be 1000 ms/s.
cpuExpected := Percentiles{
Mean: 1000,
Max: 1000,
Ninety: 1000,
}
if cpu != cpuExpected {
t.Errorf("cpu stats are %+v. Expected %+v", cpu, cpuExpected)
}
memExpected := Percentiles{
Mean: 50 * 1024,
Max: 99 * 1024,
Ninety: 90 * 1024,
}
if mem != memExpected {
t.Errorf("memory stats are mean %+v. Expected %+v", mem, memExpected)
}
}
func TestSamplesCloseInTimeIgnored(t *testing.T) {
N := uint64(100)
var i uint64
ct := time.Now()
stats := make([]*info.ContainerStats, 0, N*2)
for i = 1; i < N; i++ {
s1 := &info.ContainerStats{
Cpu: info.CpuStats{},
Timestamp: ct.Add(time.Duration(i) * time.Second),
Memory: info.MemoryStats{
// Memory grows by a KB every second.
WorkingSet: i * 1024,
},
}
// cpu rate is 1 s/s
s1.Cpu.Usage.Total = i * Nanosecond
stats = append(stats, s1)
// Add another dummy sample too close in time to the last one.
s2 := &info.ContainerStats{
Cpu: info.CpuStats{},
// Add extra millisecond.
Timestamp: ct.Add(time.Duration(i) * time.Second).Add(time.Duration(1) * time.Millisecond),
Memory: info.MemoryStats{
WorkingSet: i * 1024 * 1024,
},
}
s2.Cpu.Usage.Total = i * 100 * Nanosecond
stats = append(stats, s2)
}
cpu, mem := GetPercentiles(stats)
// Cpu mean, max, and 90p should all be 1000 ms/s. All high-value samples are discarded.
cpuExpected := Percentiles{
Mean: 1000,
Max: 1000,
Ninety: 1000,
}
if cpu != cpuExpected {
t.Errorf("cpu stats are %+v. Expected %+v", cpu, cpuExpected)
}
memExpected := Percentiles{
Mean: 50 * 1024,
Max: 99 * 1024,
Ninety: 90 * 1024,
}
if mem != memExpected {
t.Errorf("memory stats are mean %+v. Expected %+v", mem, memExpected)
}
}