精进不休 .NET 4.0 (5) - C# 4.0 新特性之并行运算(Parallel)

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精进不休 .NET 4.0 (5) - C# 4.0 新特性之并行运算(Parallel)

作者： webabcd


介绍
C# 4.0 的新特性之并行运算

• Parallel.For - for 循环的并行运算 
• Parallel.ForEach - foreach 循环的并行运算 
• Parallel.Invoke - 并行调用多个任务 
• Task - 任务，基于线程池。其使我们对并行编程变得更简单，且不用关心底层是怎么实现的
• PLINQ - 用于对内存中的数据做并行运算，也就是说其只支持 LINQ to Object 的并行运算

示例
1、Parallel.For 的 Demo
Parallel/ParallelFor.aspx.cs

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;

namespace CSharp.Parallel
{
         public partial class ParallelFor : System.Web.UI.Page
        {
void Page_Load() void Page_Load(object sender, EventArgs e)
                {
                        Normal();
                        ParallelForDemo();
                }

void Normal() void Normal()
                {
                        DateTime dt = DateTime.Now;

                         for (int i = 0; i < 20; i++)
                        {
                                GetData(i);
                        }

                        Response.Write((DateTime.Now - dt).TotalMilliseconds.ToString());
                        Response.Write( "<br />");
                        Response.Write( "<br />");
                }

void ParallelForDemo() void ParallelForDemo()
                {
                        DateTime dt = DateTime.Now;

                        // System.Threading.Tasks.Parallel. For - for 循环的并行运算
                        System.Threading.Tasks.Parallel. For(0, 20, (i) => { GetData(i); });

                        Response.Write((DateTime.Now - dt).TotalMilliseconds.ToString());
                        Response.Write( "<br />");
                }

int GetData() int GetData(int i)
                {
                        System.Threading.Thread.Sleep(100);
                        Response.Write(i.ToString());
                        Response.Write( "<br />");
                        return i;
                }
        }
}

/*
运行结果：
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
2000.0514

0
13
1
19
7
12
18
6
2
8
10
14
4
16
5
3
15
17
9
11
300.0077
*/

 

 

2、Parallel.ForEach 的 Demo
Parallel/ParallelForEach.aspx.cs

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;

namespace CSharp.Parallel
{
         public partial class ParallelForEach : System.Web.UI.Page
        {
List<int> _data = new List<int>() List<int> _data = new List<int>();

void Page_Load() void Page_Load(object sender, EventArgs e)
                {
                        InitData();

                        Normal();
                        ParallelForEachDemo();
                }

void InitData() void InitData()
                {
                        _data.Clear();
                         for (int i = 0; i < 20; i++)
                        {
                                _data.Add(i);
                        }
                }

void Normal() void Normal()
                {
                        DateTime dt = DateTime.Now;

                         for (int i = 0; i < 20; i++)
                        {
                                GetData(i);
                        }

                        Response.Write((DateTime.Now - dt).TotalMilliseconds.ToString());
                        Response.Write( "<br />");
                        Response.Write( "<br />");
                }

void ParallelForEachDemo() void ParallelForEachDemo()
                {
                        DateTime dt = DateTime.Now;

                        // System.Threading.Tasks.Parallel.ForEach - foreach 循环的并行运算
                        System.Threading.Tasks.Parallel.ForEach(_data, (index) => { GetData(index); });

                        Response.Write((DateTime.Now - dt).TotalMilliseconds.ToString());
                        Response.Write( "<br />");
                }

int GetData() int GetData(int i)
                {
                        System.Threading.Thread.Sleep(100);
                        Response.Write(i.ToString());
                        Response.Write( "<br />");
                        return i;
                }
        }
}

/*
运行结果：
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
2000.0514

0
6
12
18
1
2
7
13
19
4
3
8
14
9
5
15
10
16
11
17
600.0154
*/

 

 

3、Parallel.Invoke 的 Demo
Parallel/ParallelInvoke.aspx.cs

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;

using System.Threading;

namespace CSharp.Parallel
{
         public partial class ParallelInvoke : System.Web.UI.Page
        {
void Page_Load() void Page_Load(object sender, EventArgs e)
                {
                        var tasks = new Action[] { () => Task1(), () => Task2(), () => Task3() };

                        // System.Threading.Tasks.Parallel.Invoke - 并行调用多个任务
                        System.Threading.Tasks.Parallel.Invoke(tasks);
                }

void Task1() void Task1()
                {
                        Thread.Sleep(3000);
                        Response.Write( "Task1 - " + "ThreadId:" + Thread.CurrentThread.ManagedThreadId.ToString() + " - " + DateTime.Now.ToString( "HH:mm:ss"));
                        Response.Write( "<br />");
                }

void Task2() void Task2()
                {
                        System.Threading.Thread.Sleep(3000);
                        Response.Write( "Task2 - " + "ThreadId:" + Thread.CurrentThread.ManagedThreadId.ToString() + " - " + DateTime.Now.ToString( "HH:mm:ss"));
                        Response.Write( "<br />");
                }

void Task3() void Task3()
                {
                        System.Threading.Thread.Sleep(3000);
                        Response.Write( "Task3 - " + "ThreadId:" + Thread.CurrentThread.ManagedThreadId.ToString() + " - " + DateTime.Now.ToString( "HH:mm:ss"));
                        Response.Write( "<br />");
                }
        }
}

/*
运行结果：
Task2 - ThreadId:26 - 09:11:58
Task1 - ThreadId:25 - 09:11:58
Task3 - ThreadId:24 - 09:11:58
*/

 

 

4、Task 的 Demo
Parallel/ParallelTask.aspx.cs

/*
Task - 任务，基于线程池。其使我们对并行编程变得更简单，且不用关心底层是怎么实现的
*/

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;

using System.Threading;
using System.Threading.Tasks;

namespace CSharp.Parallel
{        
         public partial class ParallelTask : System.Web.UI.Page
        {
void Page_Load() void Page_Load(object sender, EventArgs e)
                {
                        /*
                         * CancellationTokenSource - 取消任务的操作需要用到的一个类
                         *         Token - 一个 CancellationToken 类型的对象，用于通知取消指定的操作
                         *         IsCancellationRequested - 是否收到了取消操作的请求
                         *         Cancel() - 结束任务的执行
                         * ParallelOptions - 并行运算选项
                         *         CancellationToken - 设置一个 Token，用于取消任务时的相关操作
                         *         MaxDegreeOfParallelism - 指定一个并行循环最多可以使用多少个线程
                         */

                        CancellationTokenSource cts = new CancellationTokenSource();
                        ParallelOptions pOption = new ParallelOptions() { CancellationToken = cts.Token };
                        pOption.MaxDegreeOfParallelism = 10;

                        Response.Write( "开始执行，3.5 秒后结束");
                        Response.Write( "<br />");

                        /*
                         * Task - 任务类
                         *         Factory.StartNew() - 创建并开始一个或一批新任务
                         *         ContinueWith() - 此任务完成后执行指定的另一个任务
                         *         AsyncState - 此任务的上下文对象
                         *         Wait() - 阻塞，直到任务完成
                         */

                        Task task0 = Task.Factory.StartNew(() =>
                        {
                                Thread.Sleep(3500);
                                cts.Cancel();
                                Response.Write( "结束");
                                Response.Write( "<br />");

                        });

                        // 通过 System.Threading.Tasks.Parallel.Invoke 执行任务的时候，可以加入 ParallelOptions 参数，用于对此并行运算做一些配置
                        System.Threading.Tasks.Parallel.Invoke(pOption,
                                () => Task1(pOption.CancellationToken),
                                () => Task2(pOption.CancellationToken));


                        /*
                         * 一个 Task 内可以包含多个 Task
                        Task tasks = new Task(() =>    
                        {
                                Task.Factory.StartNew(() => Method());    
                                Task.Factory.StartNew(() => Method2());    
                                Task.Factory.StartNew(() => Method3());    
                        });    
                        tasks.Start();    
                        // 阻塞，直到整个任务完成
                        tasks.Wait();    
                        */


                        /*
                         * 带返回值的 Task
                        Func<object, long> fun = delegate(object state)
                        {
                                return 1.0;
                        };
                        Task<long> tsk = new Task<long>(fun, "state");
                        tsk.Start();
                        Response.Write(tsk.Result.ToString());    
                        */
                }
                
void Task1() void Task1(CancellationToken token)
                {
                        // 每隔 1 秒执行一次，直到此任务收到了取消的请求
                        // 注意：虽然此处是其他线程要向主线程（UI线程）上输出信息，但因为使用了 Task ，所以不用做任何处理
                         while (!token.IsCancellationRequested)
                        {
                                Response.Write( "Task1 - " + "ThreadId: " + Thread.CurrentThread.ManagedThreadId.ToString());
                                Response.Write( "<br />");
                                Thread.Sleep(1000);
                        }

                }
void Task2() void Task2(CancellationToken token)
                {
                         while (!token.IsCancellationRequested)
                        {
                                Response.Write( "Task2 - " + "ThreadId: " + Thread.CurrentThread.ManagedThreadId.ToString());
                                Response.Write( "<br />");
                                Thread.Sleep(1000);
                        }
                }
        }
}

/*
运行结果：
开始执行，3.5 秒后结束
Task2 - ThreadId: 6
Task1 - ThreadId: 48
Task1 - ThreadId: 48
Task2 - ThreadId: 6
Task2 - ThreadId: 6
Task1 - ThreadId: 48
Task2 - ThreadId: 6
Task1 - ThreadId: 48
结束
*/

 

 

5、PLINQ 的 Demo
Parallel/ParallelPLINQ.aspx.cs

/*
PLINQ - 用于对内存中的数据做并行运算，也就是说其只支持 LINQ to Object 的并行运算
*/

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;

namespace CSharp.Parallel
{
         public partial class ParallelPLINQ : System.Web.UI.Page
        {
void Page_Load() void Page_Load(object sender, EventArgs e)
                {
                        List<int> list = new List<int>();
                         for (int i = 0; i < 100; i++)
                        {
                                list.Add(i);
                        }

                        // AsParallel() - 并行运算
                        // AsSequential() - 串行运算
                        // AsOrdered() - 保持数据的原有顺序（AsSequential()指的是串行运算；AsOrdered()指的是如果在并行运算的前提下，它会把结果先缓存，然后排序，最后再把排序后的数据做输出）
                        // AsUnordered() - 可以不必保持数据的原有顺序
                        // WithDegreeOfParallelism() - 明确地指出需要使用多少个线程来完成工作
                        // WithCancellation( new CancellationTokenSource().Token) - 指定一个 CancellationToken 类型的参数

                        ParallelQuery nums = from num in list.AsParallel<int>().AsOrdered<int>()
                                                                 where num % 10 == 0
                                                                 select num;

                        foreach (var num in nums)
                        {
                                Response.Write(num.ToString());
                                Response.Write( "<br />");
                        }

                        // 聚合方法也可以做并行运算
                        Response.Write(list.AsParallel().Average().ToString());
                        Response.Write( "<br />");

                        // 自定义聚合方法做并行运算的 Demo（实现一个取集合的平均值的功能）
                        double myAggregateResult = list.AsParallel().Aggregate(
                                // 聚合变量的初始值
                                0d,        

                                // 在每个数据分区上，计算此分区上的数据
                                // 第一个参数：对应的数据分区的计算结果；第二个参数：对应的数据分区的每个数据项
                                (value, item) =>    
                                {
                                        double result = value + item;
                                        return result;    
                                },

                                // 根据每个数据分区上的计算结果，再次做计算
                                // 第一个参数：全部数据的计算结果；第二个参数：每个数据分区上的计算结果
                                (value, data) =>
                                {
                                        double result = value + data;
                                        return result;
                                },

                                // 根据全部数据的计算结果再次计算，得到最终的聚合结果
                                (result) => result / list.Count
                        );

                        Response.Write(myAggregateResult.ToString());
                }    
        }
}

/*
运行结果：
0
10
20
30
40
50
60
70
80
90
49.5
49.5    
*/

 

 

注：关于并行运算的实例可以参考
http://code.msdn.microsoft.com/ParExtSamples


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