测试环境：ubuntu 15.10 64位
cpu:inter core i7-4790 3.60GHZ * 8
内存:16GB
硬盘:ssd 120GB
软件环境：rabbmitmq 3.6.0 kafka0.8.1 (均为单机本机运行)
测试结果：
kafka :消费速度: 37,586 /s 生产速度: 448,753 /s
rabbitmq: 消费速度: 20,807 /s 生产速度 16.413 /s
出现问题：
rabbitmq 生产4分钟左右出现队列阻塞，无法继续添加数据，1分钟后恢复，再过大约1分钟又出现此现象并以约1分钟为间隔出现此问题。
rabbitmq 生产对象时有不小的几率(约 1/20)添加队列失败，报出的错误是“tcp链接重置”
其他并无任何问题。
结论：
很明显的看出kafka的性能远超rabbitmq。不过这也是理所当然的，毕竟2个消息队列实现的协议是不一样的，处理消息的场景也大有不同。rabbitmq适合处理一些数据严谨的消息，比如说支付消息，社交消息等不能丢失的数据。kafka是批量操作切不报证数据是否能完整的到达消费者端，所以适合一些大量的营销消息的场景。
kafka：
package main
import (
"github.com/Shopify/sarama"
"os"
"os/signal"
"sync"
"log"
"time"
)
func main() {
go producer()
//go consumer()
time.Sleep(10*time.Minute)
}
func producer() {
config :=sarama.NewConfig()
config.Producer.Return.Successes = true
proder,err := sarama.NewAsyncProducer([]string{"localhost:9092"},config)
if err != nil {
panic(err)
}
signals :=make(chan os.Signal,1)
signal.Notify(signals,os.Interrupt)
var (
wg sync.WaitGroup
enqueued, successes, errors int
)
wg.Add(1)
go func() {
defer wg.Done()
for _=range proder.Successes(){
successes++
}
}()
wg.Add(1)
go func() {
defer wg.Done()
for err := range proder.Errors(){
log.Println(err)
errors++
}
}()
go func() {
t1 := time.NewTicker(time.Second)
for{
<- t1.C
log.Println(enqueued)
}
}()
ProducerLoop:
for{
message :=&sarama.ProducerMessage{Topic:"test",Value:sarama.StringEncoder("testing 123")}
select {
case proder.Input() <- message:
enqueued++
case <- signals:
proder.AsyncClose()
break ProducerLoop
}
}
wg.Wait()
log.Println("Successfully produced:%d;errors:%d\n",successes,errors)
}
func consumer() {
coner,err := sarama.NewConsumer([]string{"localhost:9092"},nil)
if err != nil {
panic(err)
}
defer func() {
if err :=coner.Close(); err !=nil{
log.Fatalln(err)
}
}()
partitionConsumer ,err := coner.ConsumePartition("test",0,sarama.OffsetNewest)
if err != nil {
panic(err)
}
defer func() {
if err := partitionConsumer.Close();err!=nil{
log.Fatalln(err)
}
}()
signals := make(chan os.Signal,1)
signal.Notify(signals,os.Interrupt)
consumed:=0
go func() {
t1 := time.NewTicker(time.Second)
for{
<- t1.C
log.Println(consumed)
}
}()
ConsumerLoop:
for{
select {
case _ = <-partitionConsumer.Messages():
consumed++
//log.Println( string(msg.Value)," => ",consumed)
case <-signals:
break ConsumerLoop
}
}
log.Printf("Consumed: %d\n", consumed)
}
rabbitmq:
package main
import (
"github.com/streadway/amqp"
"time"
"fmt"
"log"
)
const (
queueName = "push.msg.q"
exchange = "t.msg.ex"
mqurl ="amqp://shimeng:shimeng1015@192.168.155.106:5672/push"
)
var conn *amqp.Connection
var channel *amqp.Channel
func main() {
fmt.Println(1)
//push()
receive()
//fmt.Println("end")
//close()
}
func failOnErr(err error, msg string) {
if err != nil {
log.Fatalf("%s:%s", msg, err)
panic(fmt.Sprintf("%s:%s", msg, err))
}
}
func mqConnect() {
var err error
conn, err = amqp.Dial(mqurl)
if err != nil {
log.Println(1)
log.Fatalln(err)
}
fmt.Println(5)
channel, err = conn.Channel()
if err != nil {
fmt.Println(2)
log.Fatalln(err)
}else {
fmt.Println("a")
}
}
func push() {
count := 0
if channel == nil {
fmt.Println(2)
mqConnect()
}else {
fmt.Println(3)
}
msgContent := "hello world!"
t1 := time.NewTicker(time.Second)
go func() {
for{
<- t1.C
log.Println(count)
}
}()
for{
err := channel.Publish(exchange, "test", false, false, amqp.Publishing{
ContentType: "text/plain",
Body:[]byte(msgContent),
})
if err != nil {
}else {
count ++
}
}
}
func receive() {
if channel == nil {
mqConnect()
}
count :=0
msgs, err := channel.Consume(queueName, "", true, false, false, false, nil)
failOnErr(err, "")
forever := make(chan bool)
t1 := time.NewTicker(time.Second)
go func() {
for{
<- t1.C
log.Println(count)
}
}()
go func() {
//fmt.Println(*msgs)
for _= range msgs {
count ++
//s := BytesToString(&(d.Body))
//count++
//fmt.Printf("receve msg is :%s -- %d\n", *s, count)
}
}()
fmt.Printf(" [*] Waiting for messages. To exit press CTRL+C\n")
<-forever
}