代码:

#region Task 异步多线程,Task是基于ThreadPool实现的
            {
                //TestClass testClass = new TestClass();
                //Action<object> action = new Action<object>(t => testClass.TestThread(t.ToString()));

                //TaskFactory taskFactory = new TaskFactory();
                //List<Task> taskList = new List<Task>();
                //for (int i = 0; i < 5; i++)
                //{
                //    Task task = taskFactory.StartNew(action, "task" + i);
                //    taskList.Add(task);
                //}

                //同步等待
                ////1.1所在线程等待,目前在主线程,等待某一个Task执行完毕,只要有一个完成,就继续往下执行。会卡住主线程。
                //Task.WaitAny(taskList.ToArray());
                //Console.WriteLine("某一个Task执行完毕");

                ////1.2所在线程等待,目前在主线程,直到所有Task执行完毕;会卡住主线程。
                //Task.WaitAll(taskList.ToArray());
                //Console.WriteLine("所有Task执行完毕");

                ////2.1回调等待
                ////不卡主线程,所有Task完成,才执行下面的操作
                //taskFactory.ContinueWhenAll(taskList.ToArray(), taskArray =>
                //{
                //    Console.WriteLine("taskFactory.ContinueWhenAll {0}", Thread.CurrentThread.ManagedThreadId);
                //    foreach (var item in taskArray)
                //    {
                //        Console.WriteLine(item.AsyncState);
                //        Console.WriteLine(item.IsCompleted);
                //    }
                //});

                ////2.2回调等待
                ////不卡主线程,有一个Task完成,就执行下面的操作
                //taskFactory.ContinueWhenAny(taskList.ToArray(), taskAction =>
                //{
                //    Console.WriteLine("taskFactory.ContinueWhenAny {0}", Thread.CurrentThread.ManagedThreadId);
                //    Console.WriteLine(taskAction.AsyncState);
                //    Console.WriteLine(taskAction.IsCompleted);
                //});
            }
            #endregion

            #region Parallel 基于Task实现,多个任务并行计算,主线程也会计算,其实就是Task+WaitAll,一定会卡住主线程
            {
                //Console.WriteLine("主线程的ID:{0}", Thread.CurrentThread.ManagedThreadId);
                //Parallel.Invoke(() => { Console.WriteLine("当前线程的ID:{0}", Thread.CurrentThread.ManagedThreadId); },
                //    () => { Console.WriteLine("当前线程的ID:{0}", Thread.CurrentThread.ManagedThreadId); },
                //    () => { Console.WriteLine("当前线程的ID:{0}", Thread.CurrentThread.ManagedThreadId); },
                //    () => { Console.WriteLine("当前线程的ID:{0}", Thread.CurrentThread.ManagedThreadId); },
                //    () => { Console.WriteLine("当前线程的ID:{0}", Thread.CurrentThread.ManagedThreadId); });
                ////全部完成后,进入下一步,看上去就像同步编程

                //Parallel.ForEach<int>(new int[] { 1, 2, 3, 4, 5 }, t =>
                //{
                //    Console.WriteLine("当前线程ID:{0},结果:{1}", Thread.CurrentThread.ManagedThreadId, t * t);
                //    Thread.Sleep(100);
                //});

                //
                ParallelOptions options = new ParallelOptions()
                {
                    MaxDegreeOfParallelism = 5
                };
                Parallel.For(0, 1000, options, t => { Console.WriteLine("结果:" + t.ToString()); });
                Parallel.For(0, 1000, options, (t, state) => {
                    Console.WriteLine("结果:" + t.ToString());
                    //state.Break();//
                    //state.Stop();//
                    //return;
                });
            }
            #endregion

Foreach

ParallelOptions options = new ParallelOptions()
{
  MaxDegreeOfParallelism = 5
};

var source2 = Enumerable.Range(1, 100);
Parallel.ForEach<int>(source2, options, t =>
{
Thread.Sleep(1000);
Console.WriteLine("ThreadId:" + Thread.CurrentThread.ManagedThreadId + ",结果:" + t.ToString());
});


线程取消

// 定义CancellationTokenSource 控制取消
            CancellationTokenSource _cts = new CancellationTokenSource();
            ParallelOptions parallelOptions = new ParallelOptions()
            {
                MaxDegreeOfParallelism = 5, // 最大并行数
                CancellationToken = _cts.Token//是否取消线程的标记
            };
            // 有重载,parallelOptions 可不传,不传默认是跑满CPU线程:核心数 乘以 2
            // 全部完成后,进入下一步,看上去就像同步编程。
            Parallel.Invoke(
                parallelOptions,
                () =>
                {
                    Thread.Sleep(5000);
                    if (_cts.IsCancellationRequested)
                    {
                        Console.WriteLine("5000已经被取消。");
                        return;
                    }
                    Console.WriteLine("5000当前线程的ID:{0}", Thread.CurrentThread.ManagedThreadId);
                },
                () =>
                {
                    Thread.Sleep(500);
                    if (_cts.IsCancellationRequested)
                    {
                        Console.WriteLine("500已经被取消。");
                        return;
                    }
                    Console.WriteLine("500当前线程的ID:{0}", Thread.CurrentThread.ManagedThreadId);
                },
                () =>
                {
                    Console.WriteLine("进入取消任务,线程ID : {0}", Thread.CurrentThread.ManagedThreadId);
                    Thread.Sleep(2000);
                    _cts.Cancel();
                    Console.WriteLine("发起取消请求...........");
                }
                );

 

posted on 2017-11-14 17:34  邢帅杰  阅读(343)  评论(0编辑  收藏  举报