rabbitmq 和 kafka 简单的性能测试

时间:2023-03-10 05:24:21
rabbitmq 和 kafka 简单的性能测试

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)

PS: 测试结果均为单操作测试,即生产的时候没有消费操作

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。

代码:

kafka:

package main
import (
"github.com/Shopify/sarama"
"os"
"os/signal"
"sync"
"log"
"time"
) func main() {
go producer()
// go consumer()
time.Sleep(*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,)
signal.Notify(signals,os.Interrupt) var (
wg sync.WaitGroup
enqueued, successes, errors int
) wg.Add()
go func() {
defer wg.Done()
for _=range proder.Successes(){
successes++
}
}()
wg.Add()
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",,sarama.OffsetNewest)
if err != nil {
panic(err)
} defer func() {
if err := partitionConsumer.Close();err!=nil{
log.Fatalln(err)
}
}() signals := make(chan os.Signal,)
signal.Notify(signals,os.Interrupt)
consumed:= 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()
// 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()
log.Fatalln(err)
}
fmt.Println()
channel, err = conn.Channel()
if err != nil {
fmt.Println()
log.Fatalln(err)
}else {
fmt.Println("a")
}
} func push() {
count :=
if channel == nil {
fmt.Println()
mqConnect()
}else {
fmt.Println()
}
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 :=
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
}