ThreadPoolExecutorUtils.pool.execute
时间: 2023-08-29 15:11:14 浏览: 49
这是一个使用 ThreadPoolExecutor 的工具类的调用语句。ThreadPoolExecutorUtils 是一个自定义的工具类,其中的 pool 是一个 ThreadPoolExecutor 对象,execute 方法用于提交任务给线程池执行。通过这个语句,你可以将任务提交给线程池执行,并且不会阻塞当前线程。
相关问题
multiprocessing.Pool()
The multiprocessing.Pool() is a class in the Python multiprocessing module that provides a convenient way to parallelize the execution of a function across multiple input values. It allows you to create a pool of worker processes that can execute a given function in parallel, with each process taking care of a different subset of the input values.
The Pool() class provides a number of methods for submitting tasks to the pool and retrieving their results. The most commonly used methods are map() and apply_async(). The map() method takes a function and an iterable of input values, and applies the function to each value in the iterable in parallel. The apply_async() method is similar, but allows you to submit individual tasks to the pool asynchronously, and retrieve their results as they become available.
The Pool() class is useful for speeding up CPU-bound tasks by distributing them across multiple processor cores. However, it is important to note that it may not always result in a speedup, and can even slow down certain types of tasks if the overhead of managing the pool becomes significant. Therefore, it is important to carefully benchmark and tune your code to ensure that multiprocessing is the right solution for your particular problem.
THREAD_POOL.execute什么意思
`THREAD_POOL.execute()` 是在多线程编程中一个常见的方法,它用于将一个任务(`Runnable` 对象)提交到一个线程池中执行。线程池内部维护着一定数量的线程,这些线程可以并行地执行多个任务,从而提高程序的执行效率和响应速度。
具体来说,`THREAD_POOL` 是一个线程池对象,它通常通过调用 `Executors.newFixedThreadPool(n)` 来创建。`execute()` 方法接受一个 `Runnable` 对象作为参数,表示要执行的任务。当调用 `execute()` 方法时,线程池会从内部的线程池中选取一个空闲的线程来执行该任务,如果当前没有空闲线程,则将任务加入队列等待执行。任务执行完成后,该线程会被释放回线程池,等待下一个任务的到来。
总之,`THREAD_POOL.execute()` 的作用是将一个任务提交到线程池中执行,以提高程序的并发性和执行效率。
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