标签:exti .sh 也会 package 吞吐量 系统 for nis start
刚看了一下维基百科上的介绍,servlet3.0是2009年随着JavaEE6.0发布的:
到现在已经有六七年的时间了,在我第一次接触java的时候(2011年),servlet3.0就已经出现很久了,但是到现在,里边的一些东西还是没有能够好好地了解一下
最近在研究java的长连接,在了解jetty中的continuations机制的时候也重新了解了一下servlet3.0中的异步servlet机制,通过看几个博客,加上自己的一些测试,算是搞明白了一些,在这里记录一下:
在服务器的并发请求数量比较大的时候,会产生很多的servlet线程(这些servlet线程在servlet容器的线程池中维护),如果每个请求需要耗费的时间比较长(比如,执行了一些IO的处理等),在之前的非异步的servlet中,这些servlet线程将会阻塞,严重耗费服务器的资源.而在servlet3.0中首次出现的异步servlet,通过一个单独的新的线程来执行这些比较耗时的任务(也可以把这些任务放到一个自己维护的线程池里),servlet线程立即返回servlet容器的servlet池以便响应其他请求,这样,在降低了系统的资源消耗的同时,也会提升系统的吞吐量
下面是我自己做的一个模拟的操作(代码参考了importnew上的这篇文章:http://www.importnew.com/8864.html)
一个服务器端需要十秒才能返回的servlet,分别有同步的版本和异步的版本,通过JMeter做压力测试,配合jprofiler来分析服务器的资源消耗情况(主要是线程的创建和使用情况)来分析当服务器处理时间较长的时候,异步的servlet和同步的servlet对服务器性能的影响
同步的servlet:
package com.jiaoyiping.websample.asyncServlet; /* * Created with Intellij IDEA * USER: 焦一平 * Mail: jiaoyiping@gmail.com * Date: 2016/10/22 * Time: 22:16 * To change this template use File | Settings | Editor | File and Code Templates */ import javax.servlet.ServletException; import javax.servlet.annotation.WebServlet; import javax.servlet.http.HttpServlet; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import java.io.IOException; import java.io.PrintWriter; @WebServlet(urlPatterns = "/syncServlet") public class SyncServlet extends HttpServlet { //线程睡眠十秒才返回的servlet private static final long serialVersionUID = 1L; protected void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { long startTime = System.currentTimeMillis(); System.out.println("LongRunningServlet Start::Name=" + Thread.currentThread().getName() + "::ID=" + Thread.currentThread().getId()); int milliseconds = 10000; longProcessing(milliseconds); PrintWriter out = response.getWriter(); long endTime = System.currentTimeMillis(); out.write("Processing done for " + milliseconds + " milliseconds!!"); System.out.println("LongRunningServlet Start::Name=" + Thread.currentThread().getName() + "::ID=" + Thread.currentThread().getId() + "::Time Taken=" + (endTime - startTime) + " ms."); out.flush(); out.close(); } private void longProcessing(int secs) { try { Thread.sleep(secs); } catch (InterruptedException e) { e.printStackTrace(); } } }
异步的servlet:
package com.jiaoyiping.websample.asyncServlet.async; import javax.servlet.AsyncContext; import javax.servlet.ServletException; import javax.servlet.annotation.WebServlet; import javax.servlet.http.HttpServlet; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import java.io.IOException; import java.util.concurrent.ThreadPoolExecutor; /* * Created with Intellij IDEA * USER: 焦一平 * Mail: jiaoyiping@gmail.com * Date: 2016/10/22 * Time: 22:38 * To change this template use File | Settings | Editor | File and Code Templates */ @WebServlet(asyncSupported = true, urlPatterns = "/asyncServlet") public class AsyncServlet extends HttpServlet { @Override protected void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { long startTime = System.currentTimeMillis(); System.out.println("AsyncLongRunningServlet Start::Name=" + Thread.currentThread().getName() + "::ID=" + Thread.currentThread().getId()); request.setAttribute("org.apache.catalina.ASYNC_SUPPORTED", true); int secs = 10000; AsyncContext asyncCtx = request.startAsync(); asyncCtx.addListener(new AppAsyncListener()); asyncCtx.setTimeout(2000000); ThreadPoolExecutor executor = (ThreadPoolExecutor) request.getServletContext().getAttribute("executor"); executor.execute(new AsyncRequestProcessor(asyncCtx, secs)); long endTime = System.currentTimeMillis(); System.out.println("AsyncLongRunningServlet End::Name=" + Thread.currentThread().getName() + "::ID=" + Thread.currentThread().getId() + "::Time Taken=" + (endTime - startTime) + " ms."); } }
异步的servlet依赖的处理长时间任务的Thread:
package com.jiaoyiping.websample.asyncServlet.async; /* * Created with Intellij IDEA * USER: 焦一平 * Mail: jiaoyiping@gmail.com * Date: 2016/10/22 * Time: 22:43 * To change this template use File | Settings | Editor | File and Code Templates */ import javax.servlet.AsyncContext; import java.io.IOException; import java.io.PrintWriter; public class AsyncRequestProcessor implements Runnable { private AsyncContext asyncContext; private int milliseconds; public AsyncRequestProcessor() { } public AsyncRequestProcessor(AsyncContext asyncContext, int milliseconds) { this.asyncContext = asyncContext; this.milliseconds = milliseconds; } @Override public void run() { System.out.println("Async Supported? " + asyncContext.getRequest().isAsyncSupported()); longProcessing(milliseconds); try { PrintWriter out = asyncContext.getResponse().getWriter(); out.write("Processing done for " + milliseconds + " milliseconds!!"); out.flush(); out.close(); } catch (IOException e) { e.printStackTrace(); } asyncContext.complete(); } private void longProcessing(int secs) { // wait for given time before finishing try { Thread.sleep(secs); } catch (InterruptedException e) { e.printStackTrace(); } } }
异步的servlet依赖的初始化ThreadPoll的Listener(可选的,本例子中使用线程池,如不使用线程池时不需要):
package com.jiaoyiping.websample.asyncServlet.async; /* * Created with Intellij IDEA * USER: 焦一平 * Mail: jiaoyiping@gmail.com * Date: 2016/10/22 * Time: 22:41 * To change this template use File | Settings | Editor | File and Code Templates */ import javax.servlet.ServletContextEvent; import javax.servlet.ServletContextListener; import javax.servlet.annotation.WebListener; import java.util.concurrent.ArrayBlockingQueue; import java.util.concurrent.ThreadPoolExecutor; import java.util.concurrent.TimeUnit; @WebListener public class ApplicationListener implements ServletContextListener { @Override public void contextInitialized(ServletContextEvent sce) { ThreadPoolExecutor executor = new ThreadPoolExecutor(50, 100, 50000L, TimeUnit.MILLISECONDS, new ArrayBlockingQueue<>(5000)); sce.getServletContext().setAttribute("executor", executor); } @Override public void contextDestroyed(ServletContextEvent sce) { ThreadPoolExecutor executor = (ThreadPoolExecutor) sce .getServletContext().getAttribute("executor"); executor.shutdown(); } }
异步servlet中添加的异步监听器(可选的)
package com.jiaoyiping.websample.asyncServlet.async; /* * Created with Intellij IDEA * USER: 焦一平 * Mail: jiaoyiping@gmail.com * Date: 2016/10/22 * Time: 22:48 * To change this template use File | Settings | Editor | File and Code Templates */ import javax.servlet.AsyncEvent; import javax.servlet.AsyncListener; import javax.servlet.ServletResponse; import javax.servlet.annotation.WebListener; import java.io.IOException; import java.io.PrintWriter; @WebListener public class AppAsyncListener implements AsyncListener { @Override public void onComplete(AsyncEvent event) throws IOException { System.out.println("AppAsyncListener complete"); } @Override public void onTimeout(AsyncEvent event) throws IOException { ServletResponse response = event.getAsyncContext().getResponse(); PrintWriter out = response.getWriter(); out.write("TimeOut Error in Processing"); out.flush(); out.close(); } @Override public void onError(AsyncEvent event) throws IOException { System.out.println("AppAsyncListener error"); ServletResponse response = event.getAsyncContext().getResponse(); PrintWriter out = response.getWriter(); out.write("error on processing"); out.flush(); out.close(); } @Override public void onStartAsync(AsyncEvent event) throws IOException { System.out.println("AppAsyncListener start"); } }
启动tomcat之后,我们jprofile连接到该tomcat
容器启动的时候,线程图是这样的,一共有大概十几个的线程:
线程快照:
配置JMeter的线程组,在十秒钟内启动500个线程:
测试同步的servlet:
在请求同步的servlet时,线程图是这样子的(jvm中的线程数飙升到了203个,绿色的线表明我在那个时刻做了一次线程快照):
线程快照是这样子的(容器中维护的线程数达到了203个):
现在请求异步的servlet:
请求时的线程图:
线程快照:
在对异步的servlet做压力测试时,jvm中的线程数量并没有大量地上升,我们在处理异步的servlet的时候,自己维护了一个线程池,基本上增加的线程都是来自这个线程池,因为使用了异步的servlet,servlet请求会立即返回servlet池,所以,需要servlet容器分配的sevlet线程的数量基本上没有增加多少,系统消耗的线程的数量下降了,对资源的消耗也会下降
值得一提的是,异步的servlet并不会使客户端的访问速度加快,只是提升了服务器端的处理性能,减轻了服务器端的资源消耗,使得服务器端使用比较少的线程就能处理大量的连接,所以这个特性要在合适的场景下使用才可以
另外,异步的servlet的编程模型要比之前的servlet复杂许多,这也是在开发的时候需要注意的,jetty的continuations也提供了类似的功能,并且提供了简化的编程模型,在任何支持servlet3.0的容器里都可以运行(不是只能在jetty中运行),我们项目组开发的针对安卓客户端的消息推送服务器就使用到了jetty的这个机制,在之后的文章里总结一下
标签:exti .sh 也会 package 吞吐量 系统 for nis start
原文地址:http://www.cnblogs.com/jiaoyiping/p/5979242.html