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// Copyright 2016-2019 The NATS 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.
package bench
import (
"fmt"
"strings"
"testing"
"time"
"github.com/nats-io/nats.go"
)
const (
MsgSize = 8
Million = 1000 * 1000
)
var baseTime = time.Now()
func millionMessagesSecondSample(seconds int) *Sample {
messages := Million * seconds
start := baseTime
end := start.Add(time.Second * time.Duration(seconds))
nc := new(nats.Conn)
s := NewSample(messages, MsgSize, start, end, nc)
s.MsgCnt = uint64(messages)
s.MsgBytes = uint64(messages * MsgSize)
s.IOBytes = s.MsgBytes
return s
}
func TestDuration(t *testing.T) {
s := millionMessagesSecondSample(1)
duration := s.End.Sub(s.Start)
if duration != s.Duration() || duration != time.Second {
t.Fatal("Expected sample duration to be 1 second")
}
}
func TestSeconds(t *testing.T) {
s := millionMessagesSecondSample(1)
seconds := s.End.Sub(s.Start).Seconds()
if seconds != s.Seconds() || seconds != 1.0 {
t.Fatal("Expected sample seconds to be 1 second")
}
}
func TestRate(t *testing.T) {
s := millionMessagesSecondSample(60)
if s.Rate() != Million {
t.Fatal("Expected rate at 1 million msgs")
}
}
func TestThoughput(t *testing.T) {
s := millionMessagesSecondSample(60)
if s.Throughput() != Million*MsgSize {
t.Fatalf("Expected throughput at %d million bytes/sec", MsgSize)
}
}
func TestStrings(t *testing.T) {
s := millionMessagesSecondSample(60)
if len(s.String()) == 0 {
t.Fatal("Sample didn't provide a String")
}
}
func TestGroupDuration(t *testing.T) {
sg := NewSampleGroup()
sg.AddSample(millionMessagesSecondSample(1))
sg.AddSample(millionMessagesSecondSample(2))
duration := sg.End.Sub(sg.Start)
if duration != sg.Duration() || duration != time.Duration(2)*time.Second {
t.Fatal("Expected aggregate duration to be 2.0 seconds")
}
}
func TestGroupSeconds(t *testing.T) {
sg := NewSampleGroup()
sg.AddSample(millionMessagesSecondSample(1))
sg.AddSample(millionMessagesSecondSample(2))
sg.AddSample(millionMessagesSecondSample(3))
seconds := sg.End.Sub(sg.Start).Seconds()
if seconds != sg.Seconds() || seconds != 3.0 {
t.Fatal("Expected aggregate seconds to be 3.0 seconds")
}
}
func TestGroupRate(t *testing.T) {
sg := NewSampleGroup()
sg.AddSample(millionMessagesSecondSample(1))
sg.AddSample(millionMessagesSecondSample(2))
sg.AddSample(millionMessagesSecondSample(3))
if sg.Rate() != Million*2 {
t.Fatal("Expected MsgRate at 2 million msg/sec")
}
}
func TestGroupThoughput(t *testing.T) {
sg := NewSampleGroup()
sg.AddSample(millionMessagesSecondSample(1))
sg.AddSample(millionMessagesSecondSample(2))
sg.AddSample(millionMessagesSecondSample(3))
if sg.Throughput() != 2*Million*MsgSize {
t.Fatalf("Expected throughput at %d million bytes/sec", 2*MsgSize)
}
}
func TestMinMaxRate(t *testing.T) {
sg := NewSampleGroup()
sg.AddSample(millionMessagesSecondSample(1))
sg.AddSample(millionMessagesSecondSample(2))
sg.AddSample(millionMessagesSecondSample(3))
if sg.MinRate() != sg.MaxRate() {
t.Fatal("Expected MinRate == MaxRate")
}
}
func TestAvgRate(t *testing.T) {
sg := NewSampleGroup()
sg.AddSample(millionMessagesSecondSample(1))
sg.AddSample(millionMessagesSecondSample(2))
sg.AddSample(millionMessagesSecondSample(3))
if sg.MinRate() != sg.AvgRate() {
t.Fatal("Expected MinRate == AvgRate")
}
}
func TestStdDev(t *testing.T) {
sg := NewSampleGroup()
sg.AddSample(millionMessagesSecondSample(1))
sg.AddSample(millionMessagesSecondSample(2))
sg.AddSample(millionMessagesSecondSample(3))
if sg.StdDev() != 0.0 {
t.Fatal("Expected stddev to be zero")
}
}
func TestBenchSetup(t *testing.T) {
bench := NewBenchmark("test", 1, 1)
bench.AddSubSample(millionMessagesSecondSample(1))
bench.AddPubSample(millionMessagesSecondSample(1))
bench.Close()
if len(bench.RunID) == 0 {
t.Fatal("Bench doesn't have a RunID")
}
if len(bench.Pubs.Samples) != 1 {
t.Fatal("Expected one publisher")
}
if len(bench.Subs.Samples) != 1 {
t.Fatal("Expected one subscriber")
}
if bench.MsgCnt != 2*Million {
t.Fatal("Expected 2 million msgs")
}
if bench.IOBytes != 2*Million*MsgSize {
t.Fatalf("Expected %d million bytes", 2*MsgSize)
}
if bench.Duration() != time.Second {
t.Fatal("Expected duration to be 1 second")
}
}
func makeBench(subs, pubs int) *Benchmark {
bench := NewBenchmark("test", subs, pubs)
for i := 0; i < subs; i++ {
bench.AddSubSample(millionMessagesSecondSample(1))
}
for i := 0; i < pubs; i++ {
bench.AddPubSample(millionMessagesSecondSample(1))
}
bench.Close()
return bench
}
func TestCsv(t *testing.T) {
bench := makeBench(1, 1)
csv := bench.CSV()
lines := strings.Split(csv, "\n")
if len(lines) != 4 {
t.Fatal("Expected 4 lines of output from the CSV string")
}
fields := strings.Split(lines[1], ",")
if len(fields) != 7 {
t.Fatal("Expected 7 fields")
}
}
func TestBenchStrings(t *testing.T) {
bench := makeBench(1, 1)
s := bench.Report()
lines := strings.Split(s, "\n")
if len(lines) != 4 {
t.Fatal("Expected 3 lines of output: header, pub, sub, empty")
}
bench = makeBench(2, 2)
s = bench.Report()
lines = strings.Split(s, "\n")
if len(lines) != 10 {
fmt.Printf("%q\n", s)
t.Fatal("Expected 11 lines of output: header, pub header, pub x 2, stats, sub headers, sub x 2, stats, empty")
}
}
func TestMsgsPerClient(t *testing.T) {
zero := MsgsPerClient(0, 0)
if len(zero) != 0 {
t.Fatal("Expected 0 length for 0 clients")
}
onetwo := MsgsPerClient(1, 2)
if len(onetwo) != 2 || onetwo[0] != 1 || onetwo[1] != 0 {
t.Fatal("Expected uneven distribution")
}
twotwo := MsgsPerClient(2, 2)
if len(twotwo) != 2 || twotwo[0] != 1 || twotwo[1] != 1 {
t.Fatal("Expected even distribution")
}
threetwo := MsgsPerClient(3, 2)
if len(threetwo) != 2 || threetwo[0] != 2 || threetwo[1] != 1 {
t.Fatal("Expected uneven distribution")
}
}
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