Learn how to use dataflow components in the Task Parallel Library (TPL) to improve the robustness of concurrency-enabled applications.
Learn how to use dataflow components in the Task Parallel Library (TPL) to improve the robustness of concurrency-enabled applications.
我在IPropagatorBlock上做了很多尝试(还记得吗?你在我几天前提出的一个TPL Dataflow相关问题中提出了一个解决方案),并行运行Transform块中的操作(在大多数情况下应该是预期的),将SingleProducerConstraint设置为true(适用于我的项目),在所有LinkTo(...)中传播完成,并在每个数据块中进行实际工作,这表现出了巨大的...
var downloader = new ActionBlock<string>(async url => { byte [] imageData = await DownloadAsync(url); Process(imageData); }, new DataflowBlockOptions { MaxDegreeOfParallelism = 5 }); downloader.Post("http://website.com/path/to/images"); downloader.Post("http://another-website.com/...
例如,JoinBlock <string,double,int>是一个 ISourceBlock <Tuple <string,double,int >>。 与BatchBlock 一样,JoinBlock <T1,T2,…>能够在贪婪和非贪婪模式下运行。 在默认贪婪模式下,即使另一个目标没有用于形成元组的必要数据,也会接受提供给目标的所有数据。
Since the release of .NET 4.5, Microsoft introduced TPL Dataflow as part of the tool set for writing concurrent applications. The TPL Dataflow library is designed with the higher-level constructs necessary to tackle easy parallel problems, while providing a simple to use and powerful framework for...
Learn how to use dataflow components in the Task Parallel Library (TPL) to improve the robustness of concurrency-enabled applications.
Learn how to use dataflow components in the Task Parallel Library (TPL) to improve the robustness of concurrency-enabled applications.
BatchBlock 将 N 个单个项目组合成一个批处理项目,表示为元素数组。使用特定批处理大小创建实例,然后块在收到该数量的元素后立即创建批处理,将批处理异步输出到输出缓冲区。BatchBlock 能够在贪婪和非贪婪模式下执行。在默认贪婪模式下,从任意数量的源提供给块的所有消息都被接受并缓冲以转换为批次。 在非贪婪模式下...
Learn how to use dataflow components in the Task Parallel Library (TPL) to improve the robustness of concurrency-enabled applications.