How Can I Perform Multiple Asynchronous WCF Calls Concurrently in C#?

Efficiently Handling Multiple Asynchronous WCF Calls with TPL Dataflow

When dealing with multiple asynchronous WCF calls in C#, Parallel.ForEach isn't ideal because it doesn't directly support await. A more robust solution is to leverage the Task Parallel Library's Dataflow (TPL Dataflow) which excels at managing asynchronous operations.

This example demonstrates how to rewrite code using TPL Dataflow for concurrent asynchronous WCF calls:

<code class="language-csharp">// Create a TransformBlock to asynchronously fetch Customer data.
var getCustomerBlock = new TransformBlock<string, Customer>(
    async id =>
    {
        ICustomerRepo repo = new CustomerRepo();
        return await repo.GetCustomer(id);
    }, new ExecutionDataflowBlockOptions
    {
        MaxDegreeOfParallelism = DataflowBlockOptions.Unbounded // Adjust as needed
    });

// Create an ActionBlock to process each retrieved Customer.
var writeCustomerBlock = new ActionBlock<Customer>(c => Console.WriteLine(c.ID));

// Link the blocks; PropagateCompletion ensures the pipeline finishes.
getCustomerBlock.LinkTo(writeCustomerBlock, new DataflowLinkOptions { PropagateCompletion = true });

// Post IDs to the TransformBlock.
foreach (var id in ids)
{
    getCustomerBlock.Post(id);
}

// Signal completion and wait for all processing to finish.
getCustomerBlock.Complete();
writeCustomerBlock.Completion.Wait();</code>

Key Improvements:

• Asynchronous Processing: TPL Dataflow inherently handles asynchronous operations (await) within the TransformBlock.
• Controlled Parallelism: MaxDegreeOfParallelism allows you to control the level of concurrency, preventing resource exhaustion with large datasets. DataflowBlockOptions.Unbounded allows for maximum parallelism, but consider setting a limit for better resource management in production environments.
• Improved Structure: The code is more modular and readable, separating data retrieval and processing into distinct blocks.
• Streaming Output: Results are processed and written to the console as they become available, rather than waiting for all operations to complete.
• Error Handling: (Not shown, but easily added) TPL Dataflow provides mechanisms for handling exceptions that may occur during asynchronous operations.

This approach offers a more efficient and manageable way to handle numerous concurrent asynchronous WCF calls compared to using Parallel.ForEach with nested await calls. Remember to adjust MaxDegreeOfParallelism based on your system's resources and the size of your ids collection.

The above is the detailed content of How Can I Perform Multiple Asynchronous WCF Calls Concurrently in C#?. For more information, please follow other related articles on the PHP Chinese website!