如何强制线程使用 C# 中的方法组
本文关键字:方法 何强制 线程 | 更新日期: 2023-09-27 18:32:34
问题是:我说每个线程应该按顺序使用的 5 个方法
Method1((; 然后是 Method2((; 然后是 Method3((; 然后是Method4((; 然后是 Method5((;
我还有 5 个线程运行,编号从 1 到 5
我想实现以下方案:
我希望线程 1 开始使用方法 1,然后移动到方法 2 [同时我希望线程 2 开始使用现在未使用的方法 1]
然后,当线程 1 移动到方法 3,线程 2 继续到方法 2 时,线程 3 应开始使用现在可用的方法 1,依此类推。
public void Execute(object OPCounter)
{
//Method 1
lock (thisLock)
{
FetchedInstructionQueue[PCounter] = Stager.Stage1(InstructionsMemory);
}
//Method 2
lock (thisLock)
{
DecordedInstructionQueue[PCounter] = Stager.Stage2(FetchedInstructionQueue, regMem);
}
//Method 3
lock (thisLock)
{
ALUResultQueue[PCounter] = Stager.Stage3(DecordedInstructionQueue);
}
lock (thisLock)
{
MemoryQueue[PCounter] = Stager.Stage4(DecordedInstructionQueue, memory, ALUResultQueue);
}
lock (thisLock)
{
object obj = Stager.Stage5(DecordedInstructionQueue, ALUResultQueue, regMem, memory, MemoryQueue);
InternalWriter(PCounter, obj);
}
}
///This is the initiator of threads
private void ExecuteBtn_Click(object sender, EventArgs e)
{
InstructionsMemory = InstructionsTextBox.Text.Split(''n');
FetchedInstructionQueue = new string[InstructionsMemory.Length];
DecordedInstructionQueue = new Instruction[InstructionsMemory.Length];
ALUResultQueue = new int[InstructionsMemory.Length];
MemoryQueue = new int[InstructionsMemory.Length];
Thread[] threads = new Thread[InstructionsMemory.Length];
for (APCounter = 0; APCounter < InstructionsMemory.Length; APCounter = 5 + APCounter)
{
if (APCounter + 5 < InstructionsMemory.Length)
{
object s1 = APCounter;
object s2 = APCounter + 1;
object s3 = APCounter + 2;
object s4 = APCounter + 3;
object s5 = APCounter + 4;
threads[APCounter] = new Thread(new ParameterizedThreadStart(Execute));
threads[APCounter + 1] = new Thread(new ParameterizedThreadStart(Execute));
threads[APCounter + 2] = new Thread(new ParameterizedThreadStart(Execute));
threads[APCounter + 3] = new Thread(new ParameterizedThreadStart(Execute));
threads[APCounter + 4] = new Thread(new ParameterizedThreadStart(Execute));
threads[APCounter].Start(s1);
threads[APCounter + 1].Start(s2);
threads[APCounter + 2].Start(s3);
threads[APCounter + 3].Start(s4);
threads[APCounter + 4].Start(s5);
}
}
我写这个作为答案,因为所需的澄清不适合评论。
您似乎有一条工作管道要完成(在特定对象上,该对象可能会也可能不会发生变化(。您还有许多线程来执行此管道。管道由5个阶段组成。
通常,对于管道,您希望管道中的每个步骤都有一个线程(即,步骤 1 有一个线程,步骤 2 有一个线程,步骤 3 有一个线程,依此类推(。我们称之为选项 A。
您似乎想要设置它,以便线程跟随正在处理的对象。因此,线程 1 涵盖对象 1 到所有 5 个阶段,然后线程 2 涵盖对象 2,依此类推。目前还不清楚你为什么要这样做,但无论如何让我们运行它。我们称之为选项 B。
为简单起见,我将展示使用 3 个线程和 3 个阶段的选项。
选项 A:传统管道
3 个阶段,每个阶段 1 个线程,对象在阶段之间移动。
void Main()
{
var stage1Queue = new BlockingCollection<object>(new ConcurrentQueue<object>());
var stage2Queue = new BlockingCollection<object>(new ConcurrentQueue<object>());
var stage3Queue = new BlockingCollection<object>(new ConcurrentQueue<object>());
var threads = new Thread[] {new Thread(() => Stage1Worker(stage1Queue, stage2Queue)),
new Thread(() => Stage2Worker(stage2Queue, stage3Queue)),
new Thread(() => Stage3Worker(stage3Queue))
};
foreach (var thread in threads) thread.Start();
stage1Queue.Add("*");
stage1Queue.Add("*");
stage1Queue.Add("*");
Console.ReadKey();
}
public void Stage1Worker(BlockingCollection<object> queue, BlockingCollection<object> next)
{
foreach (var task in queue.GetConsumingEnumerable())
{
Console.WriteLine(task); // do work here, even mutating task if needed
next.TryAdd(task.ToString() + "*"); // will always succeed for a ConcurrentQueue
}
}
public void Stage2Worker(BlockingCollection<object> queue, BlockingCollection<object> next)
{
foreach (var task in queue.GetConsumingEnumerable())
{
Console.WriteLine(task); // do work here, even mutating task if needed
next.TryAdd(task.ToString() + "*"); // will always succeed for a ConcurrentQueue
}
}
public void Stage3Worker(BlockingCollection<object> queue)
{
foreach (var task in queue.GetConsumingEnumerable())
{
Console.WriteLine(task); // do work here, even mutating task if needed
// no more work!
}
}
选项 B:同步方法访问管道
这是一个非常奇怪的问题,如果不知道其中的"原因",就很难找到合适的解决方案。下面确保单个任务由单个线程执行,并且线程等待对每个方法的访问。但是,它不保证线程 1 执行任务 1、线程 2 执行任务 2 等。无论哪个线程准备就绪,都将选择"下一个"任务。
object stage1Lock = new object();
object stage2Lock = new object();
object stage3Lock = new object();
void Main()
{
var tasks = new BlockingCollection<object>(new ConcurrentQueue<object>());
var threads = new Thread[] {new Thread(() => Worker(1, tasks)),
new Thread(() => Worker(2, tasks)),
new Thread(() => Worker(3, tasks))
};
foreach (var thread in threads) thread.Start();
tasks.Add("*");
tasks.Add("**");
tasks.Add("***");
tasks.Add("****");
tasks.Add("*****");
LINQPad.Util.ReadLine();
}
public void Worker(int id, BlockingCollection<object> tasks)
{
foreach (var task in tasks.GetConsumingEnumerable())
{
Console.WriteLine(id + " got task: " + task);
lock (stage1Lock){
Console.WriteLine(id + " - Stage 1: " + task);
}
lock (stage2Lock){
Console.WriteLine(id + " - Stage 2: " + task);
}
lock (stage3Lock){
Console.WriteLine(id + " - Stage 3: " + task);
}
}
}