我正在尝试正确建模一个多线程单生产者/多消费者场景,消费者可以要求生产者获得一个项目,但生产者需要做一个耗时的操作才能生成它(想想看执行查询或打印文档)。
我的目标是确保没有消费者可以同时要求生产者生产物品。在我的真实世界用例中,生产者是硬件控制器,必须确保一次只有1个请求被发送到硬件。其他并发请求最终必须等待或被拒绝(我知道如何拒绝它们,所以让我们集中精力让他们等待)。
我希望生产者和每个消费者在不同的线程中运行
我只能使用BlockingCollection
来获取干净的代码。我不得不与SemaphoreSlim
一起使用它,否则消费者可能会在竞争条件下招致
我认为它应该有用(事实上它在我的所有测试中运作良好),即使我不是100%肯定它。
这是我的计划:
制片:
class Producer : IDisposable
{
//Explicit waiting item => I feel this should not be there
private SemaphoreSlim _semaphore;
private BlockingCollection<Task<string>> _collection;
public Producer()
{
_collection = new BlockingCollection<Task<string>>(new ConcurrentQueue<Task<string>>(), 1);
_semaphore = new SemaphoreSlim(1, 1);
}
public void Start()
{
Task consumer = Task.Factory.StartNew(() =>
{
try
{
while (!_collection.IsCompleted)
{
Task<string> current = _collection.Take();
current.RunSynchronously(); //Is this bad?
//Signal the long running operation has ended => This is what I'm not happy about
_semaphore.Release();
}
}
catch (InvalidOperationException)
{
Console.WriteLine("Adding was compeleted!");
}
});
}
public string GetRandomString(string consumerName)
{
Task<string> task = new Task<string>(() =>
{
//Simulate long running operation
Thread.Sleep(100);
return GetRandomString();
});
_collection.Add(task);
//Wait for long running operation to complete => This is what I'm not happy about
_semaphore.Wait();
Console.WriteLine("Producer produced {0} by {1} request", task.Result, consumerName);
return task.Result;
}
public void Dispose()
{
_collection.CompleteAdding();
}
private string GetRandomString()
{
var chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789";
var random = new Random();
var result = new string(Enumerable
.Repeat(chars, 8)
.Select(s => s[random.Next(s.Length)])
.ToArray());
return result;
}
}
消费者:
class Consumer
{
Producer _producer;
string _name;
public Consumer(
Producer producer,
string name)
{
_producer = producer;
_name = name;
}
public string GetOrderedString()
{
string produced = _producer.GetRandomString(_name);
return String.Join(String.Empty, produced.OrderBy(c => c));
}
}
控制台应用程序:
class Program
{
static void Main(string[] args)
{
int consumerNumber = 5;
int reps = 10;
Producer prod = new Producer();
prod.Start();
Task[] consumers = new Task[consumerNumber];
for (var cConsumers = 0; cConsumers < consumerNumber; cConsumers++)
{
Consumer consumer = new Consumer(prod, String.Format("Consumer{0}", cConsumers + 1));
Task consumerTask = Task.Factory.StartNew((consumerIndex) =>
{
int cConsumerNumber = (int)consumerIndex;
for (var counter = 0; counter < reps; counter++)
{
string data = consumer.GetOrderedString();
Console.WriteLine("Consumer{0} consumed {1} at iteration {2}", cConsumerNumber, data, counter + 1);
}
}, cConsumers + 1);
consumers[cConsumers] = consumerTask;
}
Task continuation = Task.Factory.ContinueWhenAll(consumers, (c) =>
{
prod.Dispose();
Console.WriteLine("Producer/Consumer ended");
Console.ReadLine();
});
continuation.Wait();
}
}
我担心的是,如果这是解决问题的正确方法,或者是否有其他最佳做法,那么你们可以提出建议。
我已经谷歌搜索并尝试了不同的提议想法,但我尝试的每个例子都假设生产者能够在被要求后立即生产物品......在现实世界的应用中非常罕见的情况:)
非常感谢任何帮助。
答案 0 :(得分:2)
如果我理解正确,您希望确保一次只有一个任务由所谓的“生产者”处理。然后稍微修改一下代码就可以这样做了:
internal class Producer : IDisposable {
private readonly BlockingCollection<RandomStringRequest> _collection;
public Producer() {
_collection = new BlockingCollection<RandomStringRequest>(new ConcurrentQueue<RandomStringRequest>());
}
public void Start() {
Task consumer = Task.Factory.StartNew(() => {
try {
foreach (var request in _collection.GetConsumingEnumerable()) {
Thread.Sleep(100); // long work
request.SetResult(GetRandomString());
}
}
catch (InvalidOperationException) {
Console.WriteLine("Adding was compeleted!");
}
});
}
public RandomStringRequest GetRandomString(string consumerName) {
var request = new RandomStringRequest();
_collection.Add(request);
return request;
}
public void Dispose() {
_collection.CompleteAdding();
}
private string GetRandomString() {
var chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789";
var random = new Random();
var result = new string(Enumerable
.Repeat(chars, 8)
.Select(s => s[random.Next(s.Length)])
.ToArray());
return result;
}
}
internal class RandomStringRequest : IDisposable {
private string _result;
private ManualResetEvent _signal;
public RandomStringRequest() {
_signal = new ManualResetEvent(false);
}
public void SetResult(string result) {
_result = result;
_signal.Set();
}
public string GetResult() {
_signal.WaitOne();
return _result;
}
public bool TryGetResult(TimeSpan timeout, out string result) {
result = null;
if (_signal.WaitOne(timeout)) {
result = _result;
return true;
}
return false;
}
public void Dispose() {
_signal.Dispose();
}
}
internal class Consumer {
private Producer _producer;
private string _name;
public Consumer(
Producer producer,
string name) {
_producer = producer;
_name = name;
}
public string GetOrderedString() {
using (var request = _producer.GetRandomString(_name)) {
// wait here for result to be prepared
var produced = request.GetResult();
return String.Join(String.Empty, produced.OrderBy(c => c));
}
}
}
请注意,producer是单线程的,它使用GetConsumingEnumerable。此外,没有信号量,也没有任务。相反,RandomStringRequest返回给使用者,并且在调用GetResult或TryGetResult时,它将等待生成器生成结果(或超时到期)。您可能还想在某些地方传递CancellationTokens(比如GetConsumingEnumerable)。