所以这是我上一个问题的延续 - 所以问题是"构建一个线程安全的程序的最佳方法是什么,它需要将双值写入文件.如果通过streamwriter保存值的函数是多线程调用的?最好的方法是什么?"
我修改了一些在MSDN上找到的代码,以下怎么样?这个正确地将所有内容写入文件.
namespace SafeThread
{
class Program
{
static void Main()
{
Threading threader = new Threading();
AutoResetEvent autoEvent = new AutoResetEvent(false);
Thread regularThread =
new Thread(new ThreadStart(threader.ThreadMethod));
regularThread.Start();
ThreadPool.QueueUserWorkItem(new WaitCallback(threader.WorkMethod),
autoEvent);
// Wait for foreground thread to end.
regularThread.Join();
// Wait for background thread to end.
autoEvent.WaitOne();
}
}
class Threading
{
List<double> Values = new List<double>();
static readonly Object locker = new Object();
StreamWriter writer = new StreamWriter("file");
static int bulkCount = 0;
static int bulkSize = 100000;
public void ThreadMethod()
{
lock (locker)
{
while (bulkCount < bulkSize)
Values.Add(bulkCount++);
}
bulkCount = 0;
}
public void WorkMethod(object stateInfo)
{
lock (locker)
{
foreach (double V in Values)
{
writer.WriteLine(V);
writer.Flush();
}
}
// Signal that this thread is finished.
((AutoResetEvent)stateInfo).Set();
}
}
}
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Ste*_*ary 15
Thread并且QueueUserWorkItem是用于线程化的最低可用API.除非我绝对没有其他选择,否则我不会使用它们.尝试使用Task更高级别的抽象类.有关详细信息,请参阅我最近关于该主题的博客文章.
您还可以将其BlockingCollection<double>用作正确的生产者/消费者队列,而不是尝试使用最低的可用API进行同步构建.
正确地重新发明这些轮子是非常困难的.我强烈建议使用为此类需求Task而设计的类(并且BlockingCollection具体而言).它们内置于.NET 4.0框架中,可作为.NET 3.5的附加组件使用.
"正确答案"实际上取决于您在锁定/阻止行为方面所寻求的内容.例如,最简单的方法是跳过中间数据结构,只需要一个WriteValues方法,这样每个线程"报告"其结果,然后将它们写入文件.就像是:
StreamWriter writer = new StreamWriter("file");
public void WriteValues(IEnumerable<double> values)
{
lock (writer)
{
foreach (var d in values)
{
writer.WriteLine(d);
}
writer.Flush();
}
}
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当然,这意味着工作线程在其"报告结果"阶段进行序列化 - 取决于性能特征,虽然可能很好(例如,生成5分钟,写入500毫秒).
另一方面,您将工作线程写入数据结构.如果您使用的是.NET 4,我建议您使用ConcurrentQueue而不是自己锁定.
此外,您可能希望以比工作线程报告的更大批量执行文件i/o,因此您可能选择仅在某个频率上在后台线程中写入.频谱的那一端看起来像下面的那样(你将删除实际代码中的Console.WriteLine调用,那些就是那里你可以看到它在运行中)
public class ThreadSafeFileBuffer<T> : IDisposable
{
private readonly StreamWriter m_writer;
private readonly ConcurrentQueue<T> m_buffer = new ConcurrentQueue<T>();
private readonly Timer m_timer;
public ThreadSafeFileBuffer(string filePath, int flushPeriodInSeconds = 5)
{
m_writer = new StreamWriter(filePath);
var flushPeriod = TimeSpan.FromSeconds(flushPeriodInSeconds);
m_timer = new Timer(FlushBuffer, null, flushPeriod, flushPeriod);
}
public void AddResult(T result)
{
m_buffer.Enqueue(result);
Console.WriteLine("Buffer is up to {0} elements", m_buffer.Count);
}
public void Dispose()
{
Console.WriteLine("Turning off timer");
m_timer.Dispose();
Console.WriteLine("Flushing final buffer output");
FlushBuffer(); // flush anything left over in the buffer
Console.WriteLine("Closing file");
m_writer.Dispose();
}
/// <summary>
/// Since this is only done by one thread at a time (almost always the background flush thread, but one time via Dispose), no need to lock
/// </summary>
/// <param name="unused"></param>
private void FlushBuffer(object unused = null)
{
T current;
while (m_buffer.TryDequeue(out current))
{
Console.WriteLine("Buffer is down to {0} elements", m_buffer.Count);
m_writer.WriteLine(current);
}
m_writer.Flush();
}
}
class Program
{
static void Main(string[] args)
{
var tempFile = Path.GetTempFileName();
using (var resultsBuffer = new ThreadSafeFileBuffer<double>(tempFile))
{
Parallel.For(0, 100, i =>
{
// simulate some 'real work' by waiting for awhile
var sleepTime = new Random().Next(10000);
Console.WriteLine("Thread {0} doing work for {1} ms", Thread.CurrentThread.ManagedThreadId, sleepTime);
Thread.Sleep(sleepTime);
resultsBuffer.AddResult(Math.PI*i);
});
}
foreach (var resultLine in File.ReadAllLines(tempFile))
{
Console.WriteLine("Line from result: {0}", resultLine);
}
}
}
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