Pau*_*opf 5 .net task-parallel-library async-await tpl-dataflow
我有大量任务(~1000)需要执行。我在 4 核处理器上运行,所以我想一次并行处理 4 个任务。
为了给您一个起点,这里有一些示例代码。
class Program
{
public class LongOperation
{
private static readonly Random RandomNumberGenerator = new Random(0);
const int UpdateFrequencyMilliseconds = 100;
public int CurrentProgress { get; set; }
public int TargetProcess { get; set; }
public LongOperation()
{
TargetProcess = RandomNumberGenerator.Next(
(int)TimeSpan.FromSeconds(5).TotalMilliseconds / UpdateFrequencyMilliseconds,
(int)TimeSpan.FromSeconds(10).TotalMilliseconds / UpdateFrequencyMilliseconds);
}
public async Task Execute()
{
while (!IsCompleted)
{
await Task.Delay(UpdateFrequencyMilliseconds);
CurrentProgress++;
}
}
public bool IsCompleted => CurrentProgress >= TargetProcess;
}
static void Main(string[] args)
{
Task.Factory.StartNew(async () =>
{
var operations = new List<LongOperation>();
for(var x = 1; x <= 10; x++)
operations.Add(new LongOperation());
await ProcessOperations(4, operations);
}).Wait();
}
public static async Task ProcessOperations(int maxSimultaneous, List<LongOperation> operations)
{
await Task.WhenAll(operations.Select(x => x.Execute()));
// TODO: Process up to 4 operations at a time, until every operation is completed.
}
}
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我想要一些关于我将使用哪些类的输入,以及我如何ProcessOperations在一个 await-able 中构建一次最多处理 4 个操作,直到所有操作完成Task。
我正在考虑SemaphoreSlim以某种方式使用对象,因为它似乎是为了限制资源/进程。
正如已经建议的,您需要使用一个方便的TPL 数据流库,它有两个块,用于在处理之前存储消息,并对它们采取实际操作:
// storage
var operations = new BufferBlock<LongOperation>();
// no more than 4 actions at the time
var actions = new ActionBlock<LongOperation>(x => x.Execute(),
new ExecutionDataflowBlockOptions { MaxDegreeOfParallelism = 4 });
// consume new operations automatically
operations.LinkTo(actions);
for(var x = 1; x <= 10; ++x)
{
// blocking sending
operations.Post(new LongOperation());
// awaitable send for async operations
// await operations.SendAsync(new LongOperation());
}
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BoundedCapacity此外,您还可以通过设置缓冲区选项来引入一些限制,例如一次不超过 30 次操作。
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