package org.phoenix.cases.kafka; import java.util.ArrayList; import java.util.List; import java.util.concurrent.BrokenBarrierException; import java.util.concurrent.Callable; import java.util.concurrent.CyclicBarrier; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; import java.util.concurrent.Future; import java.util.concurrent.TimeUnit; import java.util.concurrent.TimeoutException; import java.util.concurrent.atomic.AtomicInteger; import com.meterware.httpunit.GetMethodWebRequest; import com.meterware.httpunit.WebConversation; import com.meterware.httpunit.WebResponse; /** * Executors+CyclicBarrier实现的并发测试小例子<br> * 例子实现了并发测试中使用的集合点,集合点超时时间及思考时间等技术 * @author mengfeiyang * */ public class FlushGenerator { private static volatile boolean RUNFLAG = true; private CyclicBarrier rendzvous; private static int threads; private static AtomicInteger totalCount = new AtomicInteger(); private static AtomicInteger startedCount = new AtomicInteger(); private static AtomicInteger finishCount = new AtomicInteger(); private static AtomicInteger runCount = new AtomicInteger(); private static AtomicInteger successCount = new AtomicInteger(); private static AtomicInteger failCount = new AtomicInteger(); private String url; private long rendzvousWaitTime = 0; private long thinkTime = 0; private int iteration = 0; /** * 初始值设置 * @param url 被测url * @param threads 总线程数 * @param iteration 每一个线程迭代次数 * @param rendzvousWaitTime 集合点超时时间,若是不启用超时时间,请将此值设置为0.<br> * 若是不启用集合点,请将此值设置为-1<br> * 若是不启用超时时间,则等待全部的线程所有到达后,才会继续往下执行<br> * @param thinkTime 思考时间,若是启用思考时间,请将此值设置为0 */ public FlushGenerator(String url,int threads,int iteration,long rendzvousWaitTime,long thinkTime){ totalCount.getAndSet(threads); FlushGenerator.threads = threads; this.url = url; this.iteration = iteration; this.rendzvousWaitTime = rendzvousWaitTime; this.thinkTime = thinkTime; } public static ThreadCount getThreadCount(){ return new ThreadCount(threads,runCount.get(),startedCount.get(),finishCount.get(),successCount.get(),failCount.get()); } public static boolean isRun(){ return finishCount.get() != threads; } public synchronized static void stop(){ RUNFLAG = false; } public void runTask(){ List<Future<String>> resultList = new ArrayList<Future<String>>(); ExecutorService exeService = Executors.newFixedThreadPool(threads); rendzvous = new CyclicBarrier(threads);//默认加载所有线程 for(int i=0;i<threads;i++){ resultList.add(exeService.submit(new TaskThread(i,url,iteration,rendzvousWaitTime,thinkTime))); } exeService.shutdown(); for(int j=0;j<resultList.size();j++){ try{ System.out.println(resultList.get(j).get()); }catch(Exception e){ e.printStackTrace(); } } stop(); } static class ThreadCount { public final int runThreads; public final int startedThreads; public final int finishedThreads; public final int totalThreads; public final int successCount; public final int failCount; public ThreadCount(int totalThreads,int runThreads, int startedThreads, int finishedThreads,int successCount,int failCount) { this.totalThreads = totalThreads; this.runThreads = runThreads; this.startedThreads = startedThreads; this.finishedThreads = finishedThreads; this.successCount = successCount; this.failCount = failCount; } } private class TaskThread implements Callable<String> { private String url; private long rendzvousWaitTime = 0; private long thinkTime = 0; private int iteration = 0; private int iterCount = 0; private int taskId; /** * 任务执行者属性设置 * @param taskId 任务id号 * @param url 被测url * @param iteration 迭代次数,若是一直执行则需将此值设置为0 * @param rendzvousWaitTime 集合点超时时间,若是不须要设置时间,则将此值设置为0。若是不须要设置集合点,则将此值设置为-1 * @param thinkTime 思考时间,若是不须要设置思考时间,则将此值设置为0 */ public TaskThread(int taskId,String url,int iteration, long rendzvousWaitTime,long thinkTime){ this.taskId = taskId; this.url = url; this.rendzvousWaitTime = rendzvousWaitTime; this.thinkTime = thinkTime; this.iteration = iteration; } @Override public String call() throws Exception{ startedCount.getAndIncrement(); runCount.getAndIncrement(); while(RUNFLAG && iterCount<iteration){ if(iteration != 0)iterCount++; try{ if(rendzvousWaitTime > 0){ try{ System.out.println("任务:task-"+taskId+" 已到达集合点...等待其余线程,集合点等待超时时间为:"+rendzvousWaitTime); rendzvous.await(rendzvousWaitTime,TimeUnit.MICROSECONDS); } catch (InterruptedException e) { } catch (BrokenBarrierException e) { System.out.println("task-"+taskId+" 等待时间已超过集合点超时时间:"+rendzvousWaitTime+" ms,将开始执行任务...."); } catch (TimeoutException e) { } } else if(rendzvousWaitTime == 0){ try{ System.out.println("任务:task-"+taskId+" 已到达集合点...等待其余线程"); rendzvous.await(); } catch (InterruptedException e) { } catch (BrokenBarrierException e) { } } WebResponse wr = new WebConversation().getResponse(new GetMethodWebRequest(url)); System.out.println("线程:task-"+taskId+" 获取到的资源大小:"+wr.getText().length()+",状态码:"+wr.getResponseCode()); successCount.getAndIncrement(); if(thinkTime !=0){ System.out.println("task-"+taskId+" 距下次启动时间:"+thinkTime); Thread.sleep(thinkTime); } }catch(Exception e){ failCount.getAndIncrement(); } } finishCount.getAndIncrement(); runCount.decrementAndGet(); return Thread.currentThread().getName()+" 执行完成!"; } } public static void main(String[] args) { new Thread(){ public void run(){ new FlushGenerator("http://10.108.79.8:8080/hh.php",5,3,0,200).runTask(); } }.start(); new Thread(){ public void run(){ while(true){ try { Thread.sleep(1000); } catch (InterruptedException e) { e.printStackTrace(); } System.out.println("isRun:"+FlushGenerator.isRun()); System.out.println("totalThreads:"+FlushGenerator.getThreadCount().totalThreads); System.out.println("startedThreads:"+FlushGenerator.getThreadCount().startedThreads); System.out.println("runThreads:"+FlushGenerator.getThreadCount().runThreads); System.out.println("finishedThread:"+FlushGenerator.getThreadCount().finishedThreads); System.out.println("successCount:"+FlushGenerator.getThreadCount().successCount); System.out.println("failCount:"+FlushGenerator.getThreadCount().failCount); System.out.println(); } } }.start(); } }