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C#多线程学习
1 问题
最近工作中,对于性能问题要求比较高,原来的直接取数据,变为需要用多线程来取数据,为实现快速查询。以一个简单的例子来说明下,多线程处理数据的整个流程。
对一个List数据求和为问题模型。分别比较开多线程和不开多线程的结果。
代码如下
2 实现
(1)、Program类
// ***********************************************************************// Assembly : Share.Code.MultiThreadTest// Author : Amy// Created : 07-15-2014//// Last Modified By : Amy// Last Modified On : 07-18-2014// ***********************************************************************// <copyright file="Program.cs" company="Microsoft">// Copyright (c) Microsoft. All rights reserved.// </copyright>// <summary></summary>// ***********************************************************************using System;using System.Collections.Generic;namespace Share.Code.MultiThreadTest{ /// <summary> /// Program /// </summary> class Program { /// <summary> /// 入口 /// </summary> /// <param name="args">参数</param> static void Main(string[] args) { List<long> list = new List<long>(); for (int i = 0; i < 10000000; i++) { list.Add(i); } DateTime start = DateTime.Now; DateTime end = DateTime.Now; long sum = 0; for (int i = 0; i < list.Count; i++) { sum += list[i]; } end = DateTime.Now; Console.WriteLine("主线程结果:" + sum + ",耗时:" + ((TimeSpan)(end - start)).TotalMilliseconds); start = DateTime.Now; SumMultiThread thread = new SumMultiThread(list, 2); thread.Execute(); end = DateTime.Now; Console.WriteLine("多线程结果是:" + thread.Result + ",耗时:" + ((TimeSpan)(end - start)).TotalMilliseconds); Console.Read(); } }}
(2)、SumMultiThread类
// ***********************************************************************// Assembly : Share.Code.MultiThreadTest// Author : Amy// Created : 07-18-2014//// Last Modified By : Amy// Last Modified On : 07-18-2014// ***********************************************************************// <copyright file="SumMultiThread.cs" company="Microsoft">// Copyright (c) Microsoft. All rights reserved.// </copyright>// <summary></summary>// ***********************************************************************using System;using System.Collections.Generic;using System.Threading;namespace Share.Code.MultiThreadTest{ /// <summary> /// 利用多线程求和 /// </summary> public class SumMultiThread { /// <summary> /// 通知一个线程或多个线程正在发生的事情 /// </summary> private List<ManualResetEvent> manualEventList = new List<ManualResetEvent>(); /// <summary> /// 要处理的数据 /// </summary> private List<long> data = http://www.mamicode.com/new List<long>(); /// <summary> /// 子线程结果 /// </summary> private List<long> subThreadResult = new List<long>(); /// <summary> /// 子线程数量 /// </summary> private int subThreadCount; /// <summary> /// 构造方法 /// </summary> /// <param name="data">要处理的数据</param> /// <param name="subThreadCount">线程的个数</param> public SumMultiThread(List<long> data, int subThreadCount) { this.data =http://www.mamicode.com/ data; if (subThreadCount >= 1) { this.subThreadCount = subThreadCount; } else { this.subThreadCount = 1; } } /// <summary> /// 处理结果 /// </summary> public long Result { get; set; } /// <summary> /// 执行方法 /// </summary> public void Execute() { for (int i = 0; i < this.subThreadCount; i++) { ManualResetEvent mre = new ManualResetEvent(false); this.manualEventList.Add(mre); ThreadPool.QueueUserWorkItem(this.ThreadMethod, i); } WaitHandle.WaitAll(this.manualEventList.ToArray()); // 把每个线程的计算结果加起来 long sum = 0; for (int i = 0; i < this.subThreadResult.Count; i++) { sum += this.subThreadResult[i]; } this.Result = sum; } /// <summary> /// 线程方法 /// </summary> /// <param name="obj">对象</param> private void ThreadMethod(object obj) { DateTime start = DateTime.Now; DateTime end = DateTime.Now; int index = (int)obj; int dataPerThread = 0; if (this.data != null && this.data.Count > 0) { dataPerThread = this.data.Count / this.subThreadCount; } long sum = 0; if (index == (this.subThreadCount - 1)) { // 最后一个线程要 sum = 0; for (int i = index * dataPerThread; i < this.data.Count; i++) { sum += this.data[i]; } } else { // 其他线程 for (int i = index * dataPerThread; i < (index * dataPerThread) + dataPerThread && i < this.data.Count; i++) { sum += this.data[i]; } } this.subThreadResult.Add(sum); end = DateTime.Now; Console.WriteLine("线程" + index + "执行完毕,耗时" + ((TimeSpan)(end - start)).TotalMilliseconds); this.manualEventList[index].Set(); } }}
3 结果
(1)、两个线程的对比
(2)、三个线程的对比
(3)、4个线程的对比
(4)、5个线程的对比
4 总结
在某些情况下,用多线程来提高速度,但是线程的数量也许考量。
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