Shaamaan 的答案很好,可能是您想要针对特定场景使用的答案。我只是提出了一些您可以使用的其他可能选项,这些选项可能更适用于其他情况。
我的博客文章展示了如何使用 Tasks 和 Actions 执行此操作,并提供了一个示例项目,您可以下载并运行以查看两者的实际效果。
有行动
如果使用 Actions,您可以使用内置的 .Net Parallel.Invoke 函数。在这里,我们将其限制为最多并行运行 10 个线程。
var listOfActions = new List<Action>();
for (int i = 0; i < 10000; i++)
{
// Note that we create the Action here, but do not start it.
listOfActions.Add(() => DoSomething());
}
var options = new ParallelOptions {MaxDegreeOfParallelism = 10};
Parallel.Invoke(options, listOfActions.ToArray());
有任务
Tasks 没有内置功能。但是,您可以使用我在博客上提供的那个。
/// <summary>
/// Starts the given tasks and waits for them to complete. This will run, at most, the specified number of tasks in parallel.
/// <para>NOTE: If one of the given tasks has already been started, an exception will be thrown.</para>
/// </summary>
/// <param name="tasksToRun">The tasks to run.</param>
/// <param name="maxTasksToRunInParallel">The maximum number of tasks to run in parallel.</param>
/// <param name="cancellationToken">The cancellation token.</param>
public static void StartAndWaitAllThrottled(IEnumerable<Task> tasksToRun, int maxTasksToRunInParallel, CancellationToken cancellationToken = new CancellationToken())
{
StartAndWaitAllThrottled(tasksToRun, maxTasksToRunInParallel, -1, cancellationToken);
}
/// <summary>
/// Starts the given tasks and waits for them to complete. This will run, at most, the specified number of tasks in parallel.
/// <para>NOTE: If one of the given tasks has already been started, an exception will be thrown.</para>
/// </summary>
/// <param name="tasksToRun">The tasks to run.</param>
/// <param name="maxTasksToRunInParallel">The maximum number of tasks to run in parallel.</param>
/// <param name="timeoutInMilliseconds">The maximum milliseconds we should allow the max tasks to run in parallel before allowing another task to start. Specify -1 to wait indefinitely.</param>
/// <param name="cancellationToken">The cancellation token.</param>
public static void StartAndWaitAllThrottled(IEnumerable<Task> tasksToRun, int maxTasksToRunInParallel, int timeoutInMilliseconds, CancellationToken cancellationToken = new CancellationToken())
{
// Convert to a list of tasks so that we don't enumerate over it multiple times needlessly.
var tasks = tasksToRun.ToList();
using (var throttler = new SemaphoreSlim(maxTasksToRunInParallel))
{
var postTaskTasks = new List<Task>();
// Have each task notify the throttler when it completes so that it decrements the number of tasks currently running.
tasks.ForEach(t => postTaskTasks.Add(t.ContinueWith(tsk => throttler.Release())));
// Start running each task.
foreach (var task in tasks)
{
// Increment the number of tasks currently running and wait if too many are running.
throttler.Wait(timeoutInMilliseconds, cancellationToken);
cancellationToken.ThrowIfCancellationRequested();
task.Start();
}
// Wait for all of the provided tasks to complete.
// We wait on the list of "post" tasks instead of the original tasks, otherwise there is a potential race condition where the throttler's using block is exited before some Tasks have had their "post" action completed, which references the throttler, resulting in an exception due to accessing a disposed object.
Task.WaitAll(postTaskTasks.ToArray(), cancellationToken);
}
}
然后创建任务列表并调用函数让它们运行,一次最多同时运行 10 个,你可以这样做:
var listOfTasks = new List<Task>();
for (int i = 0; i < 10000; i++)
{
var count = i;
// Note that we create the Task here, but do not start it.
listOfTasks.Add(new Task(() => Something()));
}
Tasks.StartAndWaitAllThrottled(listOfTasks, 10);