This article addresses the challenge of safely and efficiently executing multiple asynchronous WCF calls concurrently within a .NET application. The naive approach of nesting await
within Parallel.ForEach
often leads to premature termination and incomplete operations.
The recommended solution leverages the Task Parallel Library (TPL) Dataflow framework. Specifically, using TransformBlock
and ActionBlock
provides a robust and controlled mechanism for parallel asynchronous operations.
The following code demonstrates how to refactor the original code to use TransformBlock
and ActionBlock
for concurrent WCF calls:
var ids = new List<string> { "1", "2", "3", "4", "5", "6", "7", "8", "9", "10" }; var getCustomerBlock = new TransformBlock<string, Customer>( async i => { ICustomerRepo repo = new CustomerRepo(); return await repo.GetCustomer(i); }, new ExecutionDataflowBlockOptions { MaxDegreeOfParallelism = DataflowBlockOptions.Unbounded // Or specify a limit }); var writeCustomerBlock = new ActionBlock<Customer>(c => Console.WriteLine(c.ID)); getCustomerBlock.LinkTo(writeCustomerBlock, new DataflowLinkOptions { PropagateCompletion = true }); foreach (var id in ids) { getCustomerBlock.Post(id); } getCustomerBlock.Complete(); writeCustomerBlock.Completion.Wait();
This approach offers several key advantages:
MaxDegreeOfParallelism
property allows for controlling the level of concurrency, preventing resource exhaustion. This is crucial when dealing with a large number of IDs.This method ensures that asynchronous WCF calls are executed concurrently while maintaining proper error handling and resource management, providing a more reliable and efficient solution.
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