CountDownLatch类在性能测试中应用

CountDownLatch类位于java.util.concurrent包下,利用它可以实现计数器的功能。比如有一堆任务需要多线程去执行,需要在所有任务执行完之后才能进行下一步这个场景,此时就可以利用CountDownLatch来实现这种功能了。

基本介绍

CountDownLatch类只提供了一个构造器,只有一个int类型的参数,表示计数器的初始值。

    /**
     * Constructs a {@code CountDownLatch} initialized with the given count.
     *
     * @param count the number of times {@link #countDown} must be invoked
     *        before threads can pass through {@link #await}
     * @throws IllegalArgumentException if {@code count} is negative
     */
    public CountDownLatch(int count) {
        if (count < 0) throw new IllegalArgumentException("count < 0");
        this.sync = new Sync(count);
    }

重要方法

前两个是等待所有任务结束的方法,第二个方法有一个超时控制,第一个参数是时间,第二个参数是时间的单位,一般是秒或者毫秒。第三个方法就是计数器减一的方法。性能测试中常用的也就这三个。

    public void await() throws InterruptedException {
        sync.acquireSharedInterruptibly(1);
    }
    
    public boolean await(long timeout, TimeUnit unit)
        throws InterruptedException {
        return sync.tryAcquireSharedNanos(1, unit.toNanos(timeout));
    }

    public void countDown() {
        sync.releaseShared(1);
    }

实践

下面是我写的性能框架用到的地方,首先是构建任务:

   /**
     * 执行多线程任务
     */
    public PerformanceResultBean start() {
        startTime = Time.getTimeStamp();
        for (int i = 0; i < threadNum; i++) {
            ThreadBase thread = getThread(i);
            thread.setCountDownLatch(countDownLatch);
            executorService.execute(thread);
        }
        shutdownService(executorService, countDownLatch);
        endTime = Time.getTimeStamp();
        threads.forEach(x -> {
            if (x.status()) failTotal++;
            errorTotal += x.errorNum;
            excuteTotal += x.excuteNum;
        });
        logger.info("总计{}个线程,共用时:{} s,执行总数:{},错误数:{},失败数:{}", threadNum, Time.getTimeDiffer(startTime, endTime), excuteTotal, errorTotal, failTotal);
        return over();
    }

下面是多线程基类run()用到的地方:

    @Override
    public void run() {
        try {
            before();
            List<Long> t = new ArrayList<>();
            long ss = Time.getTimeStamp();
            long et = ss;
            while (true) {
                try {
                    threadmark = mark == null ? EMPTY : this.mark.mark(this);
                    long s = Time.getTimeStamp();
                    doing();
                    et = Time.getTimeStamp();
                    excuteNum++;
                    long diff = et - s;
                    t.add(diff);
                    if (diff > HttpClientConstant.MAX_ACCEPT_TIME) marks.add(diff + CONNECTOR + threadmark);
                    if ((et - ss) > time || status() || key) break;
                } catch (Exception e) {
                    logger.warn("执行任务失败!", e);
                    logger.warn("执行失败对象的标记:{}", threadmark);
                    errorNum++;
                }
            }
            long ee = Time.getTimeStamp();
            logger.info("执行次数:{}, 失败次数: {},总耗时: {} s", excuteNum, errorNum, (ee - ss) / 1000 + 1);
            Concurrent.allTimes.addAll(t);
            Concurrent.requestMark.addAll(marks);
        } catch (Exception e) {
            logger.warn("执行任务失败!", e);
        } finally {
            after();
        }

    }

下面是after()方法的内容:

    @Override
    protected void after() {
        super.after();
        marks = new ArrayList<>();
        GCThread.stop();
    }

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posted @ 2020-08-03 16:26  FunTester  阅读(165)  评论(0编辑  收藏  举报