.NET Tips and Tricks

Blog archive

Pulling Objects from Web Services with ReadAsAsync

In an earlier post, I discussed the three objects that Microsoft has provided for calling Web Services: HttpWebRequest, WebClient and HttpClient. At the time, I suggested WebClient was the simplest solution, unless you wanted to take advantage of HttpClient's asynchronous processing.

I've reconsidered that choice since then and I'm currently using HttpClient almost exclusively. Part of the reason is that HttpClient gives me the ReadAsAsync method. To understand why I like that method so much, you have to compare it to the alternatives.

Here's how to get a list of Customer objects out of the response from a Web Service using the traditional ReadAsStringAsync method:

HttpClient hc = new HttpClient();
HttpResponseMessage customersRm = await hc.GetAsync(url);
string customersString = await customersRm.Content.ReadAsStringAsync();
List<Customer> custs = JsonConvert.DeserializeObject<List<Customer>>(customersString);

Now here's the code using ReadAsAsync (even the method name is shorter!):

HttpClient hc = new HttpClient();
HttpResponseMessage customersRm = await hc.GetAsync(url);
List<Customer> custs = await customersRm.Content.ReadAsAsync<List<Customer>>();

The only problem is that you don't, in .NET 4.5 or later, get ReadAsAsync without some work -- you'll have to add the Microsoft.AspNet.WebApi.Client NuGet package to your project to pick up this extension method. I think that's worth doing.

Posted by Peter Vogel on 04/25/2019 at 8:58 AM


comments powered by Disqus

Featured

  • Visual Studio Code Dev Team Cleans Up

    The Visual Studio Code development team focused on some housekeeping in the October update, closing more than 4,000 issues on GitHub, where the cross-platform, open-source editor lives.

  • ML.NET Model Builder Update Boosts Image Classification

    Microsoft announced an update to the Model Builder component of its ML.NET machine learning framework, boosting image classification and adding "try your model" functionality for predictions with sample input.

  • How to Do Naive Bayes with Numeric Data Using C#

    Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to demonstrate how to create a naive Bayes classification system when the predictor values are numeric, using the C# language without any special code libraries.

  • Vortex

    Open Source 'Infrastructure-as-Code' SDK Adds .NET Core Support for Working with Azure

    Pulumi, known for its "Infrastructure-as-Code" cloud development tooling, has added support for .NET Core, letting .NET-centric developers use C#, F# and VB.NET to create, deploy, and manage Azure infrastructure.

  • .NET Framework Not Forgotten: Repair Tool Updated

    Even though Microsoft's development focus has shifted to the open-source, cross-platform .NET Core initiative -- with the aging, traditional, Windows-only .NET Framework relegated primarily to fixes and maintenance such as quality and reliability improvements -- the latter is still getting some other attention, as exemplified in a repair tool update.

.NET Insight

Sign up for our newsletter.

Terms and Privacy Policy consent

I agree to this site's Privacy Policy.

Upcoming Events