之前写过Java&Go 高性能队列之 LinkedBlockingQueue 性能测试之后,就一直准备这这篇文章,作为准备内容的过程中也写过一些Disruptor高性能消息队列的应用文章:高性能队列 Disruptor 在测试中应用千万级日志回放引擎设计稿

Disruptor以高性能出名,下面我来测试一下三种场景下性能表现。

有一些基本的设定和用词规范,大家可以翻看Java&Go 高性能队列之 LinkedBlockingQueue 性能测试

结论

总体来说,com.lmax.disruptor.dsl.Disruptor消费性能是非常厉害的,几乎是测不到顶。但是在生产方面,性能会随着 Event 的增加会下降很多
还是在 50 万 QPS 级别上,满足现在压测需求,唯一需要避免的就是队列较长时性能不稳定。总结起来几点比较通用的参考:

简介

这里再多唠叨两句。

Disruptor 是英国外汇交易公司 LMAX 开发的一个高性能队列,研发的初衷是解决内存队列的延迟问题(在性能测试中发现竟然与 I/O 操作处于同样的数量级)。基于 Disruptor 开发的系统单线程能支撑每秒 600 万订单。

测试结果

这里性能只记录每毫秒处理消息(对象)个数作为评价性能的唯一标准。这里我采用的是com.lmax.disruptor.dsl.ProducerType#MULTI消费模式,注册消费者用的是com.lmax.disruptor.dsl.Disruptor#handleEventsWithWorkerPool方法。

数据说明

这里我用了三种org.apache.http.client.methods.HttpGet,创建方法均使用原生 API,为了区分大小的区别,我会响应增加一些 header 和 URL 长度。

小对象:

def get = new HttpGet()

中对象:

def get = new HttpGet(url)
get.addHeader("token", token)
get.addHeader(HttpClientConstant.USER_AGENT)
get.addHeader(HttpClientConstant.CONNECTION)

大对象:

def get = new HttpGet(url + token)
get.addHeader("token", token)
get.addHeader("token1", token)
get.addHeader("token5", token)
get.addHeader("token4", token)
get.addHeader("token3", token)
get.addHeader("token2", token)
get.addHeader(HttpClientConstant.USER_AGENT)
get.addHeader(HttpClientConstant.CONNECTION)

生产者

对象大小 队列长度(百万) 线程数 速率(/ms)
1 1 890
1 5 1041
1 10 1100
0.5 1 755
0.5 5 597
0.5 10 612
0.5 10 580
1 1 360
1 5 394
1 10 419
1 20 401
0.5 1 256
0.5 5 426
1 1 201
1 5 243
1 10 242
0.5 1 194
0.5 5 215
0.5 10 195

测试过程中超大com.lmax.disruptor.AbstractSequencer#bufferSize会导致com.lmax.disruptor.dsl.Disruptor耗时非常长,自测 1024 * 1024 再高就感觉很吃力了,所以没测试超过 1 百万的消息队列长度。由于并没有设定com.lmax.disruptor.AbstractSequencer#bufferSize的测试场景,所以本次测试总是用这个设置。

测试结果规律倒是挺明显的:

  1. 消息总量越大,QPS 越大
  2. 生产者线程数对 QPS 影响不大
  3. 消息体尽可能小

消费者

对于Disruptor框架来讲,单独的消费者用例比较难构建,我用了一个取巧的办法,会对性能测试结果有一些影响,这里可以通过后来分享测试用例的时候会详细说说。不过对于Disruptor逆天的消费能力,这点误差可以忽略。

对象大小 队列长度(百万) 线程数 速率(/ms)
1 1 10526
1 5 6060
1 10 5376
1 20 4672
1 20 4219
1 1 12345
1 5 8130
1 10 5586
1 1 16129
1 5 5681
1 10 5649
0.5 1 8474
0.5 5 4761
0.5 10 3846

测试结论也挺明显的,基本与java.util.concurrent.LinkedBlockingQueue一致。

  1. 数据上看长度越长越好
  2. 消费者线程越少越好
  3. 消息体尽可能小

PS:关于Disruptor消费能力,我测试了一个 1 百万大对象消息,1000 线程的消费者用例,QPS=3412/ms,这个跟我后面基于Disruptor设计的新性能测试模型有关系,表明消费者线程数即使增加到 1000,Disruptor依然保持了非常高的性能。

生产者 & 消费者

这里的线程数指的是生产者或者消费者的数量,总体线程数是此数值的 2 倍。

对象大小 次数(百万) 线程数 队列长度(百万) 速率(/ms)
1 1 0.1 16949
1 1 0.2 8403
1 1 0.5 5555
1 5 0.1 5181
1 10 0.1 1295
1 1 0.1 21276
1 1 0.2 16949
1 5 0.2 15625
1 10 0.2 574
2 1 0.2 34920
2 5 0.2 24752
2 10 0.2 789
1 1 0.1 44000
1 1 0.2 25000
1 5 0.2 11764
1 10 0.2 278

次轮整个测试过程都是几乎崩溃的,因为同样的用例执行起来误差太大了,最大的能有接近 2 倍的差距。以下结论仅供参考:

  1. 消息队列积累消息越少,速率越快
  2. 消费速率随时间推移越来越快
  3. 消息体尽可能小

其中当线程数超过 10 的时候,出现了非常明显的性能下滑,这个可以通过上面两组数据得出原因,Disruptor消费太快了,是生产者的数倍之多。最后测试出来的结果其实就是生产者的速率。当线程数比较少的时候,Disruptor总是有消息堆积的,所以生产者速率不会成为瓶颈,这个也跟用例设计有关系。

基准测试

请翻阅上期的测试文章内容Java&Go 高性能队列之 LinkedBlockingQueue 性能测试

测试用例

测试用例使用 Groovy 语言编写,自从我自定义了异步关键字fun和复习了闭包的语法之后,感觉就像开了光一样,有点迷上了各类多线程的语法实现。本期我又额外使用了自定义统计时间的关键字time以及利用闭包实现自定义等待方法,其他内容均与上期文章相同。

Disruptor有个先天的优势,就是必需得设置ringBufferSize,相当于提前分配内存了。这点是我之前没想到的,当我回去复测LinkedBlockingQueue的时候发现并没有明显的性能差异,对于测试结果影响可忽略。

PS:这里用到了一些sleep(),会导致一些误差,这个以我能力暂无法避免,经过测试对结论影响不大,对数据影响有限。

生产者


import com.funtester.config.HttpClientConstant
import com.funtester.frame.SourceCode
import com.funtester.frame.execute.ThreadPoolUtil
import com.funtester.utils.Time
import com.lmax.disruptor.EventHandler
import com.lmax.disruptor.RingBuffer
import com.lmax.disruptor.WorkHandler
import com.lmax.disruptor.YieldingWaitStrategy
import com.lmax.disruptor.dsl.Disruptor
import com.lmax.disruptor.dsl.ProducerType
import org.apache.http.client.methods.HttpGet
import org.apache.http.client.methods.HttpRequestBase

import java.util.concurrent.CountDownLatch
import java.util.concurrent.atomic.AtomicInteger

class DisProduce extends SourceCode {

    static AtomicInteger index = new AtomicInteger(1)

    static int total = 50_0000

    static int size = 10

    static int threadNum = 10

    static int piece = total / size

    static def url = "http://localhost:12345/funtester"

    static def token = "FunTesterFunTesterFunTesterFunTesterFunTesterFunTesterFunTester"

    public static void main(String[] args) {
        Disruptor<FunEvent> disruptor = new Disruptor<FunEvent>(
                FunEvent::new,
                1024 * 1024,
                ThreadPoolUtil.getFactory(),
                ProducerType.MULTI,
                new YieldingWaitStrategy()
        );
        disruptor.start();
        RingBuffer<FunEvent> ringBuffer = disruptor.getRingBuffer();
        def latch = new CountDownLatch(threadNum)
        def ss = Time.getTimeStamp()
        def funtester = {
            fun {
                (total / threadNum).times {
                    if (index.getAndIncrement() % piece == 0) {
                        def l = Time.getTimeStamp() - ss
                        output("${formatLong(index.get())}添加总消耗${formatLong(l)}")
                        ss = Time.getTimeStamp()
                    }
                    //                    def get = new HttpGet()

//                    def get = new HttpGet(url)
//                    get.addHeader("token", token)
//                    get.addHeader(HttpClientConstant.USER_AGENT)
//                    get.addHeader(HttpClientConstant.CONNECTION)

                    def get = new HttpGet(url + token)
                    get.addHeader("token", token)
                    get.addHeader("token1", token)
                    get.addHeader("token5", token)
                    get.addHeader("token4", token)
                    get.addHeader("token3", token)
                    get.addHeader("token2", token)
                    get.addHeader(HttpClientConstant.USER_AGENT)
                    get.addHeader(HttpClientConstant.CONNECTION)
                    ringBuffer.publishEvent((event, sequence) -> event.setRequest(get))
                }
                latch.countDown()
            }
        }
        //        fun {
        //            while (true) {
        //                sleep(1.0)
        //                output(disruptor.getRingBuffer().getBufferSize())
        //            }
        //        }
        def start = Time.getTimeStamp()
        threadNum.times {funtester()}
        latch.await()
        def end = Time.getTimeStamp()
        outRGB("每毫秒速率${total / (end - start)}")


        disruptor.shutdown();


    }

    /**
     * 消费者
     */
    private static class FunEventHandler implements EventHandler<FunEvent>, WorkHandler<FunEvent> {

        public void onEvent(FunEvent event, long sequence, boolean endOfBatch) {

        }

        public void onEvent(FunEvent event) {

        }

    }


    private static class FunEvent {

        HttpRequestBase request

        HttpRequestBase getRequest() {
            return request
        }

        void setRequest(HttpRequestBase request) {
            this.request = request
        };

    }

消费者


import com.funtester.config.HttpClientConstant
import com.funtester.frame.SourceCode
import com.funtester.frame.event.EventThread
import com.funtester.frame.execute.ThreadPoolUtil
import com.funtester.utils.Time
import com.lmax.disruptor.EventHandler
import com.lmax.disruptor.RingBuffer
import com.lmax.disruptor.WorkHandler
import com.lmax.disruptor.YieldingWaitStrategy
import com.lmax.disruptor.dsl.Disruptor
import com.lmax.disruptor.dsl.ProducerType
import org.apache.http.client.methods.HttpGet
import org.apache.http.client.methods.HttpRequestBase

import java.util.concurrent.atomic.AtomicInteger
import java.util.stream.Collectors

class DisConsumer extends SourceCode {

    static AtomicInteger index = new AtomicInteger(1)

    static int total = 50_0000

    static int threadNum = 10

    static def url = "http://localhost:12345/funtester"

    static def token = "FunTesterFunTesterFunTesterFunTesterFunTesterFunTesterFunTester"

    static def key = true

    public static void main(String[] args) {

        Disruptor<FunEvent> disruptor = new Disruptor<FunEvent>(
                FunEvent::new,
                1024 * 1024,
                ThreadPoolUtil.getFactory(),
                ProducerType.MULTI,
                new YieldingWaitStrategy()
        );
        def funs = range(threadNum).mapToObj(f -> new FunEventHandler()).collect(Collectors.toList())
        disruptor.handleEventsWithWorkerPool(funs as FunEventHandler[])
        disruptor.start();
        RingBuffer<FunEvent> ringBuffer = disruptor.getRingBuffer();
        def ss = Time.getTimeStamp()
        time {
            total.times {
//                def get = new HttpGet()

//                def get = new HttpGet(url)
//                get.addHeader("token", token)
//                get.addHeader(HttpClientConstant.USER_AGENT)
//                get.addHeader(HttpClientConstant.CONNECTION)

                def get = new HttpGet(url + token)
                get.addHeader("token", token)
                get.addHeader("token1", token)
                get.addHeader("token5", token)
                get.addHeader("token4", token)
                get.addHeader("token3", token)
                get.addHeader("token2", token)
                get.addHeader(HttpClientConstant.USER_AGENT)
                get.addHeader(HttpClientConstant.CONNECTION)

                ringBuffer.publishEvent((event, sequence) -> event.setRequest(get));
            }
        }
        output("数据$total 构建完成!")
        def start = Time.getTimeStamp()
        key = false
        waitFor {!disruptor.hasBacklog()} , 0.01
        def end = Time.getTimeStamp()
        output(end - start)
        outRGB("每毫秒速率${total / (end - start)}")


        disruptor.shutdown();


    }

    /**
     * 消费者
     */
    private static class FunEventHandler implements EventHandler<FunEvent>, WorkHandler<FunEvent> {

        public void onEvent(FunEvent event, long sequence, boolean endOfBatch) {
            if (key) sleep(0.05)
        }

        public void onEvent(FunEvent event) {
            if (key) sleep(0.05)
        }

    }


    private static class FunEvent {

        HttpRequestBase request

        HttpRequestBase getRequest() {
            return request
        }

        void setRequest(HttpRequestBase request) {
            this.request = request
        };

    }

生产者 & 消费者


import com.funtester.config.HttpClientConstant
import com.funtester.frame.SourceCode
import com.funtester.frame.execute.ThreadPoolUtil
import com.funtester.utils.Time
import com.lmax.disruptor.EventHandler
import com.lmax.disruptor.RingBuffer
import com.lmax.disruptor.WorkHandler
import com.lmax.disruptor.YieldingWaitStrategy
import com.lmax.disruptor.dsl.Disruptor
import com.lmax.disruptor.dsl.ProducerType
import org.apache.http.client.methods.HttpGet
import org.apache.http.client.methods.HttpRequestBase

import java.util.concurrent.atomic.AtomicInteger
import java.util.stream.Collectors

class DisBoth extends SourceCode {

    static AtomicInteger index = new AtomicInteger(1)

    static int total = 100_0000

    static int threadNum = 5

    static int buffer = 20_0000

    static def url = "http://localhost:12345/funtester"

    static def token = "FunTesterFunTesterFunTesterFunTesterFunTesterFunTesterFunTester"

    static def key = true

    public static void main(String[] args) {

        Disruptor<FunEvent> disruptor = new Disruptor<FunEvent>(
                FunEvent::new,
                1024 * 256,
                ThreadPoolUtil.getFactory(),
                ProducerType.MULTI,
                new YieldingWaitStrategy()
        );
        def funs = range(threadNum).mapToObj(f -> new FunEventHandler()).collect(Collectors.toList())
        disruptor.handleEventsWithWorkerPool(funs as FunEventHandler[])
        disruptor.start();
        RingBuffer<FunEvent> ringBuffer = disruptor.getRingBuffer();
        def produces = {
            fun {
                while (true) {
                    if (index.getAndIncrement() > total) break
                    //                    def get = new HttpGet()

//                    def get = new HttpGet(url)
//                    get.addHeader("token", token)
//                    get.addHeader(HttpClientConstant.USER_AGENT)
//                    get.addHeader(HttpClientConstant.CONNECTION)

                                    def get = new HttpGet(url + token)
                                    get.addHeader("token", token)
                                    get.addHeader("token1", token)
                                    get.addHeader("token5", token)
                                    get.addHeader("token4", token)
                                    get.addHeader("token3", token)
                                    get.addHeader("token2", token)
                                    get.addHeader(HttpClientConstant.USER_AGENT)
                                    get.addHeader(HttpClientConstant.CONNECTION)
                    ringBuffer.publishEvent((event, sequence) -> event.setRequest(get));
                }
            }
        }
        time {
            buffer.times {
                //                                def get = new HttpGet()

//                def get = new HttpGet(url)
                //                get.addHeader("token", token)
                //                get.addHeader(HttpClientConstant.USER_AGENT)
                //                get.addHeader(HttpClientConstant.CONNECTION)

                                def get = new HttpGet(url + token)
                                get.addHeader("token", token)
                                get.addHeader("token1", token)
                                get.addHeader("token5", token)
                                get.addHeader("token4", token)
                                get.addHeader("token3", token)
                                get.addHeader("token2", token)
                                get.addHeader(HttpClientConstant.USER_AGENT)
                                get.addHeader(HttpClientConstant.CONNECTION)
                ringBuffer.publishEvent((event, sequence) -> event.setRequest(get));
            }
        }
        output("数据$buffer 构建完成!")
        def start = Time.getTimeStamp()
        key = false
        threadNum.times {produces()}
        waitFor {!disruptor.hasBacklog()} , 0.01
        def end = Time.getTimeStamp()
        def l = end - start
        output(l)
        outRGB("每毫秒速率${(total + buffer) / l}")


        disruptor.shutdown();


    }

    /**
     * 消费者
     */
    private static class FunEventHandler implements EventHandler<FunEvent>, WorkHandler<FunEvent> {

        public void onEvent(FunEvent event, long sequence, boolean endOfBatch) {
            if (key) sleep(0.05)
        }

        public void onEvent(FunEvent event) {
            if (key) sleep(0.05)
        }


    }


    private static class FunEvent {

        HttpRequestBase request

        HttpRequestBase getRequest() {
            return request
        }

        void setRequest(HttpRequestBase request) {
            this.request = request
        };

    }

Have Fun ~ Tester !


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