线程池之提交优先级与执行优先级

线程池工作原理 Java的线程池是当前应用最普遍的一种并发框架。在并发编程中,合理的使用线程池能够带来一系列的好处。 1、降低资源消耗。线程池通过重复利用已创建的线程,从而降低线程创建和销毁的开销; 2、提高响应速度。当任务到达时,任务可以不用等待创建线程,利用现成的线程资源就能立即执行。例如,完成一项任务需要时间分为:T1线程创建的时间,T2在线程中执行的时间,T3线程销毁的时间。线程池通过把T1、T3安排在空闲的时间执行。在有任务提交过来时,只消耗了T2执行任务的时间... 阅读详情

问题发现

在使用newfixedThreadPool时设置核心线程10,最大线程20,采用arrayBlockingQueue10。
在for循环里打印i,以及线程id,发现线程的顺序是先打印1到10,然后打印21到30。也就是说后提交的数据中间输出。

提交优先级

提交优先级:就是先交付核心线程、等待队列、非核心线程。
在这里插入图片描述
代码如下:

public void execute(Runnable command) {
   
   
    if (command == null)
        throw new NullPointerException();
    /*
     * Proceed in 3 steps:
     *
     * 1. If fewer than corePoolSize threads are running, try to
     * start a new thread with the given command as its first
     * task.  The call to addWorker atomically checks runState and
     * workerCount, and so prevents false alarms that would add
     * threads when it shouldn't, by returning false.
     *
     * 2. If a task can be successfully queued, then we still need
     * to double-check whether we should have added a thread
     * (because existing ones died since last checking) or that
     * the pool shut down since entry into this method. So we
     * recheck state and if necessary roll back the enqueuing if
     * stopped, or start a new thread if there are none.
     *
     * 3. If we cannot queue task, then we try to add a new
     * thread.  If it fails, we know we are shut down or saturated
     * and so reject the task.
     */
    int c = ctl.get();
    // worker数量比核心线程数小,直接创建worker执行任务
    if (workerCountOf(c) < corePoolSize) {
   
   
        if (addWorker(command, true))
            return;
        c = ctl.get
Python线程池优先级任务实战:让关键任务插队执行 使用实现真正的优先级系统:fill:#333;color:#333;color:#333;fill:none;是否提交任务优先级队列线程空闲?立即执行按优先级排序需求场景推荐方案优点简单优先级双队列系统实现简单,维护方便多级优先级优先级执行器精细控制,灵活度高异步应用asyncio混合高性能,资源利用率高短期项目第三方库(如celery快速集成,功能全面大蟒蛇的忠告:优先级调度是把双刃剑!它能解决关键任务延迟问题,但过度使用会导致系统复杂性增加。 阅读详情

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