static void Main(string[] args)
{
var numbers = new MySequenceOfNumbers();
var observer = new MyConsoleObserver <int>();
numbers.Subscribe(observer);
}
public void Run()
{
var numbers = new MySequenceOfNumbers();
var observer = new MyConsoleObserver <int>();
numbers.Subscribe(observer);
//Received value 1
//Received value 2
//Received value 3
//Sequence terminated
}
static async Task Main(string[] args)
{
Form1 f = new Form1();
f.ShowDialog();
//TaskScheduler.Current
//在From程序中可传递UI线程的上下文
//var uiContext = SynchronizationContext.Current;
WriteLine($"UI线程ID：{CurrentThread.ManagedThreadId}");
Observable.Interval(TimeSpan.FromSeconds(1))
.ObserveOn(Scheduler.Default)
.Subscribe(x => WriteLine($"Interval {x} On Thread:{Environment.CurrentManagedThreadId}"));
WriteLine("----------分割线----------");
ReadLine();
var timer = new System.Timers.Timer(1000)
{
Enabled = true
};
//方法1
//var ticks = Observable.FromEventPattern<ElapsedEventHandler, ElapsedEventArgs>(
// //转换器 ElapsedEventHandler转换成ElapsedEventArgs
// handler => (s, a) => handler(s, a),
// //订阅退阅
// handler => timer.Elapsed += handler,
// handler => timer.Elapsed -= handler
// );
//方法2
//使用反射机制，转换并订阅退订Timer的Elapsed事件
var ticks = Observable.FromEventPattern(timer, "Elapsed");
//data.EventArgs依然是强类型
ticks.Subscribe(data => WriteLine($"On Next:{((ElapsedEventArgs)data.EventArgs).SignalTime}"));
//ticks.Subscribe(data => WriteLine($"On Next:{data.EventArgs.SignalTime}"));
var progress = new Progress <int>();
//订阅与退订
var progressSupports = Observable.FromEventPattern <int>(
handler => progress.ProgressChanged += handler,
handler => progress.ProgressChanged -= handler
);
//data.EventArg是强类型的int
progressSupports.Subscribe(data => WriteLine($"On Next:{data.EventArgs}"));
var mulitplyBlock = new TransformBlock <int, int>(
item => item * 2,
new ExecutionDataflowBlockOptions
{
MaxDegreeOfParallelism = DataflowBlockOptions.Unbounded
}
);
var substract = new TransformBlock <int, int>(item => item - 2);
//mulitplyBlock相当于那个需要计算量很大的数据流块，所以开启了并行处理的方式
//上面的设置，可以允许执行任意数量的并行任务
mulitplyBlock.LinkTo(substract);
var sourceBuffer = new BufferBlock <int>();
var operation = new DataflowBlockOptions {
BoundedCapacity = 1
};
var targetA = new BufferBlock <int>(operation);
var targetB = new BufferBlock <int>(operation);
//A的缓冲区>1时，数据会流向B
sourceBuffer.LinkTo(targetA);
sourceBuffer.LinkTo(targetB);
var mutliplayBlock = new TransformBlock <int, int>(item => item * 2);
var subtractBlock = new TransformBlock <int, int>(item => item - 2);
//建立连接后，从mutliplayBlock出来的数据将进入subtractBlock
mutliplayBlock.LinkTo(subtractBlock);
var options = new DataflowLinkOptions {
PropagateCompletion = true
};
mutliplayBlock.LinkTo(subtractBlock, options);
//....
//第一块的完成的情况自动传递给第二个块
mutliplayBlock.Complete();
await subtractBlock.Completion;
int[] demoInts = new int[] { 1, 2, 3 };
int intResult = ParallelSum(demoInts);
int pinqresult = PLINQSum(demoInts);//结果：6
Task <int> TaskA = DelayAndReturnAsync(3);
Task <int> TaskB = DelayAndReturnAsync(2);
Task <int> TaskC = DelayAndReturnAsync(1);
var taskArray = new[] { TaskA, TaskB, TaskC };
foreach (var item in taskArray.OrderByCompletion())
{
var rr = await item;
Trace.Write($"Task Order Result：{rr}");
}
WriteLine("-------------------------");
ReadLine();
taskArray = new[] { TaskA, TaskB, TaskC };
var processTasks = (from t in taskArray select AwaitAndProcessAsync(t)).ToArray();
await Task.WhenAll(processTasks);
WriteLine("-------------------------");
ReadLine();
foreach (var t in taskArray)
{
var rrTask = await t;
Trace.Write($"Trace:{rrTask}");
}
ReadLine();
//await--等待异步方法执行完成并获取结果
int Mathresult = await MathTaskDemo();
WriteLine(Mathresult.ToString());
#region ReplaySubject <T>缓存值的功能，然后为任何延迟订阅重播它们
var sub2 = new ReplaySubject <string>();
sub2.OnNext("a");
WriteSequenceToConsole(sub2);
sub2.OnNext("b");
sub2.OnNext("c");
Console.ReadKey();
var sub1 = new Subject <string>();
sub1.OnNext("a");
//我们已经将我们的第一个数据移到我们的订阅之前
WriteSequenceToConsole(sub1);
sub1.OnNext("b");
sub1.OnNext("c");
Console.ReadKey();
#endregion
#region 0628Rx响应式编程学习
WriteLine("IObserable的抽象实现----------");
//IObserable的抽象实现
var subject = new Subject <string>();
WriteSequenceToConsole(subject);
subject.OnNext("a");
subject.OnNext("b");
subject.OnNext("c");
Console.ReadKey();
#endregion
#region 0627Rx响应式编程学习
var numbers = new MySequenceOfNumbers();
var observer = new MyConsoleObserver <int>();
numbers.Subscribe(observer);
Console.ReadLine();
#endregion
#region 生产者消费者模拟
Console.WriteLine("生产者消费者模拟......");
for (int i = 1; i < 9; i++)
{
Thread T1 = new Thread(new ThreadStart(Producer));
Thread T2 = new Thread(new ThreadStart(Customer));
T1.Name = String.Format("生产者线程{0}", i);
T2.Name = String.Format("消费者线程{0}", i);
T1.Start();
T2.Start();
}
Console.ReadKey();
#endregion
#region 进程互斥
for (int i = 0; i <= numThreads; i++)
{
Thread myThread = new Thread(new ThreadStart(UseResource));
myThread.Name = String.Format("线程{0}", i + 1);
myThread.Start();
}
Console.ReadKey();
#endregion
#region 进程同步（同一进程不同线程处理同一个任务）
Console.WriteLine("进程1执行完了进程2才能执行.......");
Thread Thread1 = new Thread(new ThreadStart(Proc1));
Thread Thread2 = new Thread(new ThreadStart(Proc2));
Thread1.Start();
Thread2.Start();
Console.ReadKey();
#endregion
#region 0613Linq使用探索
foreach (int item in YieldGetList(5))
{
Console.WriteLine(item);
}
foreach (int item in GetList(5))
{
Console.WriteLine(item);
}
Console.ReadKey();
#endregion
//.SubscribeOn(NewThreadScheduler.Default)
#region 使用SubscribeOn控制订阅（subscribing）的上下文
WriteLine("Starting on threadId:{0}", Thread.CurrentThread.ManagedThreadId);
var source = Observable.Create <int>(
s =>
{
WriteLine("Invoked on threadId:{0}", Thread.CurrentThread.ManagedThreadId);
s.OnNext(1);
s.OnNext(2);
s.OnNext(3);
s.OnCompleted();
WriteLine("Finished on threadId:{0}",
CurrentThread.ManagedThreadId);
return(Disposable.Empty);
});
source
.SubscribeOn(CurrentThreadScheduler.Instance)
.Subscribe(
s => WriteLine("Received {1} on threadId:{0}",
CurrentThread.ManagedThreadId,
s),
() => WriteLine("OnCompleted on threadId:{0}",
CurrentThread.ManagedThreadId));
WriteLine("Subscribed on threadId:{0}", Thread.CurrentThread.ManagedThreadId);
Read();
#endregion
#region Rx默认工作模式探索
WriteLine("Starting on threadId:{0}", CurrentThread.ManagedThreadId);
var sub = new Subject <Object>();
//订阅元素处理程序到可观察序列。
sub.Subscribe(oo => WriteLine("Received {1} on threadId:{0}",//为Observable订阅处理器（handler）输出handler thread id
CurrentThread.ManagedThreadId,
oo));
ParameterizedThreadStart notify = obj =>//委托定义，其内输出被观察对象的thread id
{
//打印放进队列的value
WriteLine("OnNext({1}) on threadId:{0}",
CurrentThread.ManagedThreadId,
obj);
//在序列中通知所有订阅的观察者指定元素的到达情况
//obj为传递到序列的新函数
sub.OnNext(obj);
};
notify(1);
new Thread(notify).Start(2);
new Thread(notify).Start(3);
WriteLine("Enter to add new value to queue");
ReadLine();
new Thread(notify).Start(5);
ReadLine();
#endregion
#region 0610使用TPL数据流库来实现并行管道
var TPLDemp = ProcessAsyncChronous();
//通知所有等待线程，结束等待，开始执行
TPLDemp.GetAwaiter().GetResult();
WriteLine($"使用TPL数据流库来实现并行管道运行完成！");
ReadLine();
#endregion
#region 使用BlockingCollection实现并行管道
var cts = new CancellationTokenSource();
Task.Run(() =>
{
if (ReadKey().KeyChar == 'c')
{
cts.Cancel();
}
}, cts.Token);
var sourceArrays = new BlockingCollection <int> [CollectionNumber];
for (int i = 0; i < sourceArrays.Length; i++)
{
sourceArrays[i] = new BlockingCollection <int>(Count);
}
//Func有参有返回值的委托方法
var convertToDecimal = new PiplineWorker <int, decimal>(sourceArrays,
n => Convert.ToDecimal(n * 100),
cts.Token, "Decimal Converter");
//Action有参无返回值委托方法
var stringifyNumber = new PiplineWorker <decimal, string>(convertToDecimal.Output,
s => WriteLine($"--{s.ToString("C", CultureInfo.GetCultureInfo("en-us"))}"),
cts.Token, "String Formatter");
var outputResultToConsole = new PiplineWorker <string, string>(stringifyNumber.
Output, s => WriteLine($"The final result is {s} on thread" + $"{CurrentThread.ManagedThreadId}"),
cts.Token, "Console Output");
try
{
Parallel.Invoke(
() => CreateInitialValues(sourceArrays, cts),
() => convertToDecimal.Run(),
() => stringifyNumber.Run(),
() => outputResultToConsole.Run()
);
}
catch (AggregateException ae)
{
foreach (var ex in ae.InnerExceptions)
{
WriteLine(ex.Message + ex.StackTrace);
}
}
if (cts.Token.IsCancellationRequested)
{
WriteLine("Operation has been canceled! Press Enter to exit.");
}
else
{
WriteLine("Press Enter to exit.");
}
WriteLine("使用BlockingCollection实现并行管道Demo执行完成........");
ReadLine();
#endregion
#region 普通遍历与推送订阅模式(基于Rx库)对比
//-----普通遍历与推送订阅模式对比---------
foreach (var e in EnumerableEventSequence())
{
Write(e);
}
WriteLine();
WriteLine("IEnumberable");
IObservable <int> o = EnumerableEventSequence().ToObservable();
using (IDisposable d = o.Subscribe(Write))
{
WriteLine();
WriteLine("IObservable");
}
o = EnumerableEventSequence().ToObservable().SubscribeOn(TaskPoolScheduler.Default);
using (IDisposable subscription = o.Subscribe(Write))
{
WriteLine();
WriteLine("IObservable async");
ReadLine();
}
WriteLine("-------------");
WriteLine("Rx库使用示例-----1");
#endregion
#region PLinq并行查询--Parallel并行执行函数 05-28之前
ReadLine();
var PLinqDemo = from t in GetTypes().AsParallel() select EmulateProcessing(t);
var ppcts = new CancellationTokenSource();
ppcts.CancelAfter(TimeSpan.FromSeconds(3));
try
{
//调整并行查询参数
PLinqDemo.WithDegreeOfParallelism(Environment.ProcessorCount)
.WithExecutionMode(ParallelExecutionMode.ForceParallelism)
.WithMergeOptions(ParallelMergeOptions.Default)
.WithCancellation(ppcts.Token)
.ForAll(WriteLine);
}
catch (OperationCanceledException e)
{
WriteLine("-------------");
WriteLine("Operation has been canceled.");
}
//-------------------------------------------------------------
WriteLine("-------------");
WriteLine("Unordered PLINQ query execution.");
//无序并行查询
var unOrderderQuery = from t in ParallelEnumerable.Range(1, 30) select t;
foreach (var item in unOrderderQuery)
{
WriteLine(item);
}
//-------------------------------------------------------------
WriteLine("-------------");
WriteLine("ordered PLINQ query execution.");
//顺序并行查询
var orderedQuery = from t in ParallelEnumerable.Range(1, 30).AsOrdered() select t;
foreach (var item in orderedQuery)
{
WriteLine(item);
}
WriteLine("-------------调整Parallel并行查询参数到此结束！-----------------");
ReadLine();
//-------------------------------------------------------------
Stopwatch sw = new Stopwatch();
sw.Start();
//方式1
//单例查询 速度最慢 单例遍历
var Query = from t in GetTypes() select EmulateProcessing(t);
foreach (string typeName in Query)
{
PrintInfo(typeName);
}
sw.Stop();
WriteLine("-------------");
WriteLine("Sequential Linq Query.");
WriteLine($"Time elspsed:{sw.Elapsed}");
WriteLine("Please Enter to continue...");
ReadLine();
sw.Reset();
//-----------------------------------------------------------------------------
sw.Start();
//方式2
//查询并行化，结果单线程遍历
var parallelQuery = from t in GetTypes().AsParallel()//启用查询并行化
select EmulateProcessing(t);
foreach (string typeName in parallelQuery)
{
PrintInfo(typeName);
}
sw.Stop();
WriteLine("-------------");
WriteLine($"Paralle Linq Query.The results are being merged on a single thread");
WriteLine($"Time elspsed:{sw.Elapsed}");
WriteLine("Please Enter to continue...");
ReadLine();
sw.Reset();
//-----------------------------------------------------------------------------
sw.Start();
//方式3
//查询并行 遍历并行
parallelQuery = from t in GetTypes().AsParallel() select EmulateProcessing(t);
//使用指定的操作为每个元素并行调用source
//遍历并行
parallelQuery.ForAll(PrintInfo);
sw.Stop();
WriteLine("-------------");
WriteLine("Parallel Linq Query.The result are being processed in parallel");
WriteLine($"Time elspsed:{sw.Elapsed}");
WriteLine("Please Enter to continue...");
ReadLine();
sw.Reset();
//-----------------------------------------------------------------------------
sw.Start();
//方式4
//并行运算强制转换成顺序运算，单例遍历，效率最低
Query = from t in GetTypes().AsParallel().AsSequential() select EmulateProcessing(t);
foreach (string typeName in Query)
{
PrintInfo(typeName);
}
sw.Stop();
WriteLine("-------------");
WriteLine("Parallel Linq Query.transformed into sequential");
WriteLine($"Time elspsed:{sw.Elapsed}");
WriteLine("Please Enter to continue...");
ReadLine();
WriteLine("-------------Parallel并行查询到此结束！-----------------");
ReadLine();
//尽可能并行执行提供的每个操作
//NameSpace:System.Threading.Tasks
Parallel.Invoke(() => EmulateProcessing("Task1"),
() => EmulateProcessing("Task2"),
() => EmulateProcessing("Task3")
);
var pcts = new CancellationTokenSource();
//并行迭代
var result = Parallel.ForEach(Enumerable.Range(1, 30),
new ParallelOptions()
{
CancellationToken = pcts.Token,
MaxDegreeOfParallelism = Environment.ProcessorCount,
TaskScheduler = TaskScheduler.Default
},
(i, state) =>
{
WriteLine(i);
if (i == 20)
{
//告知 System.Threading.Tasks.Parallel 循环应在系统方便的时候尽早停止执行当前迭代之外的迭代。
state.Break();
WriteLine($"Loop is Stop:{state.IsStopped}");
}
});
WriteLine("-------------");
//获取指示循环已完成运行，以便所有的循环迭代期间执行，并且该循环没有收到提前结束的请求。
WriteLine($"Is Completed:{result.IsCompleted}");
//从中获取的最低迭代索引 System.Threading.Tasks.ParallelLoopState.Break 调用。
WriteLine($"Lowest break iteration:{result.LowestBreakIteration}");
WriteLine("-------------||-----------------");
ReadLine();
Task tq = MyAsyncWithAwaitQuickly();
tq.Wait();
//Task tl = MyAsyncWithAwaitLow();
//tl.Wait();
WriteLine("------------------------------");
ReadLine();
Task t1 = AsyncLambda();
t1.Wait();
#endregion
}
public static void Run()
{
var numbers = new MySequenceOfNumbers();
var observer = new MyConsoleObserver<int>();
numbers.Subscribe(observer);
}