public static void InvokePipe()
{
var cts = new CancellationTokenSource();
Task.Run(() =>
{
if (Console.ReadKey().KeyChar == 'c')
{
cts.Cancel();
}
});
var sourceArrays = new BlockingCollection <int> [CollectionsNumber];
for (int i = 0; i < sourceArrays.Length; i++)
{
sourceArrays[i] = new BlockingCollection <int>(Count);
}
var filter1 = new PipelineWorker <int, decimal>(sourceArrays, (n) => Convert.ToDecimal(n * 0.97), cts.Token, "filter1");
var filter2 = new PipelineWorker <decimal, string>(filter1.Output, (s) => String.Format("---{0}--", s), cts.Token, "filter2");
var filter3 = new PipelineWorker <string, string>(filter2.Output, (s) => Console.WriteLine("The final result is :{0} on thread id {1}", s, Thread.CurrentThread.ManagedThreadId), cts.Token, "filter3");
try
{
Parallel.Invoke(
() =>
{
Parallel.For(0, sourceArrays.Length * Count,
(j, state) =>
{
if (cts.Token.IsCancellationRequested)
{
state.Stop();
}
int k = BlockingCollection <int> .TryAddToAny(sourceArrays, j);
if (k >= 0)
{
Console.WriteLine("ADDed {0} to source data on thread id {1}", j, Thread.CurrentThread.ManagedThreadId);
Thread.Sleep(TimeSpan.FromMilliseconds(100));
}
});
foreach (var arr in sourceArrays)
{
arr.CompleteAdding();
}
},
() => filter1.Run(),
() => filter2.Run(),
() => filter3.Run()
);
}catch (AggregateException ex)
{
Console.WriteLine(ex);
}
if (cts.Token.IsCancellationRequested)
{
Console.WriteLine("operation has been can cancel");
}
}
public override void Run()
{
var cts = new CancellationTokenSource();
Task.Run(() =>
{
if (Console.ReadKey().KeyChar == 'c')
{
cts.Cancel();
}
}, cts.Token);
var sourceArrays = new BlockingCollection <int> [CollectionsNumber];
for (int i = 0; i < sourceArrays.Length; i++)
{
sourceArrays[i] = new BlockingCollection <int>(Count);
}
var convertToDecimal = new PipelineWorker <int, decimal>(
sourceArrays,
n => Convert.ToDecimal(n * 100),
cts.Token,
"Decimal Converter");
var stringifyNumber = new PipelineWorker <decimal, string>(
convertToDecimal.Output,
s => $"--{s.ToString("C", CultureInfo.GetCultureInfo("en-us"))}--",
cts.Token,
"String Formatter"
);
var outputResultToConsole = new PipelineWorker <string, string>(
stringifyNumber.Output,
s => Console.WriteLine($"final result {s} thread id {Thread.CurrentThread.ManagedThreadId}"),
cts.Token,
"Console Output"
);
try
{
Parallel.Invoke(
() => CreateInitialValues(sourceArrays, cts),
() => convertToDecimal.Run(),
() => stringifyNumber.Run(),
() => outputResultToConsole.Run());
}
catch (AggregateException e)
{
foreach (var ex in e.InnerExceptions)
{
Console.WriteLine(ex.Message + ex.StackTrace);
}
}
if (cts.Token.IsCancellationRequested)
{
Console.WriteLine("Operation has been canceled! Press ENTER to exit.");
}
else
{
Console.WriteLine("Press ENTER to exit.");
}
Console.ReadLine();
}
/// <summary>
/// 使用BlockingCollection实现并行管道
/// </summary>
/// <param name="args"></param>
static void Main(string[] args)
{
var cts = new CancellationTokenSource();
// 监视c键（按下c键取消执行）
Task.Run(() =>
{
if (Console.ReadKey().KeyChar == 'c')
{
cts.Cancel();
}
}, cts.Token);
// 创建4个集合，每个集合中有5个元素
var sourceArrays = new BlockingCollection <int> [CollectionsNumber];
for (int i = 0; i < sourceArrays.Length; i++)
{
sourceArrays[i] = new BlockingCollection <int>(Count);
}
// 第一个管道：将int型数据转换成Decimal型
var convertToDecimal = new PipelineWorker <int, decimal>(
sourceArrays,
n => Convert.ToDecimal(n * 100),
cts.Token,
"Decimal Converter"
);
// 第二个管道：格式化Decimal数据为金额字符串
var stringifyNumber = new PipelineWorker <decimal, string>(
convertToDecimal.Output,
s => $"--{s.ToString("C", CultureInfo.GetCultureInfo("en-us"))}--",
cts.Token,
"Console Formatter"
);
// 第三个管道：打印格式化后的结果
var outputResultToConsole = new PipelineWorker <string, string>(
stringifyNumber.Output,
s => Console.WriteLine($"The final result is {s} on thread id {Thread.CurrentThread.ManagedThreadId}"),
cts.Token,
"Console Output"
);
try
{
Parallel.Invoke(
// 初始化集合数据
() => CreateInitialValues(sourceArrays, cts),
// 将int型数据转换成Decimal型
() => convertToDecimal.Run(),
// 格式化Decimal数据为金额字符串
() => stringifyNumber.Run(),
// 打印格式化后的结果
() => outputResultToConsole.Run()
);
}
catch (AggregateException ae)
{
foreach (var ex in ae.InnerExceptions)
{
Console.WriteLine(ex.Message + ex.StackTrace);
}
}
if (cts.Token.IsCancellationRequested)
{
Console.WriteLine("Operation has been canceled! Press ENTER to exit.");
}
else
{
Console.WriteLine("Press ENTER to exit.");
}
Console.ReadLine();
}
//并行管道模式以顺序阶段的方式处理元素
static void Main(string[] args)
{
var cts = new CancellationTokenSource();
Task.Run(() =>
{
if (Console.ReadKey().KeyChar == 'c')
{
cts.Cancel();
}
});
var sourceArrays = new BlockingCollection <int> [CollectionsNumber];
for (int i = 0; i < sourceArrays.Length; i++)
{
//将初始值放入到前四个集合中，其将被作为数据源被下一阶段使用
sourceArrays[i] = new BlockingCollection <int>(Count);
}
var filter1 = new PipelineWorker <int, decimal>(sourceArrays, i => Convert.ToDecimal(i * 0.97), cts.Token, "filter1");
var filter2 = new PipelineWorker <decimal, string>(filter1.Output, i => string.Format("--{0}--", i), cts.Token, "filter2");
var filter3 = new PipelineWorker <string, string>(filter2.Output, i => Console.WriteLine("最终结果 {0} 线程 id {1} ", i, Thread.CurrentThread.ManagedThreadId), cts.Token, "filter3");
try
{
Parallel.Invoke(
() =>
{
Parallel.For(0, sourceArrays.Length * Count, (j, state) =>
{
if (cts.Token.IsCancellationRequested)
{
state.Stop();
}
int k = BlockingCollection <int> .TryAddToAny(sourceArrays, j);
if (k >= 0)
{
Console.WriteLine("加入 {0} 到源数据 线程id {1}", j,
Thread.CurrentThread.ManagedThreadId);
Thread.Sleep(TimeSpan.FromMilliseconds(100));
}
});
foreach (var arr in sourceArrays)
{
arr.CompleteAdding();
}
},
() => filter1.Run(),
() => filter2.Run(),
() => filter3.Run()
);
}
catch (AggregateException ae)
{
foreach (var ex in ae.InnerExceptions)
{
Console.WriteLine(ex.Message + ex.StackTrace);
}
}
if (cts.Token.IsCancellationRequested)
{
Console.WriteLine("操作已经被取消! Press ENTER to exit.");
}
else
{
Console.WriteLine("Press ENTER to exit");
}
Console.ReadLine();
}
