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ASP. NET web services mistake: manual JSON serialization. Download Walking Dead Season 3 Sub Indonesia. If you’ve spent much time working with the . NET platform, ASP. NET’s simple, convention- based approach to exposing JSON endpoints seems just about too good to be true. After years of fiddling with manual settings in XML configuration files, it’s understandable to assume that working with JSON in ASP. NET would require a similar rigmarole, yet it does not. Unfortunately, this unexpected ease- of- use isn’t obvious if you don’t already know about it, which has led some developers to build needlessly complicated solutions to problems that don’t actually exist.
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In this post, I want to point out a few ways not to approach JSON in ASP. NET and then show you a couple examples of leveraging the frame work to do it “right”.
A couple examples of what NOT to do. To show you exactly what I’m talking about, let’s start by looking at a few concrete examples of ways that you should not handle sending and receiving JSON in your ASP. NET services. For all the examples, we’re going to be trying to send and/or receive instances of this Person class. Person. . So, working with this simple Person class should serve as a realistic example, without being overly complex. Manual serialization, using Java. Script. Serializer.
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The most common variant of this mistake that I’ve seen is using Java. Script. Serializer to manually build a JSON string and then returning that string as the result of a service method. For example, if you didn’t know better, you might do this to return an instance of the Person class.
After all, the json variable does end up containing a nicely serialized JSON string, which seems to be what we want. The end result is that the Person object is serialized twice before it gets back to the browser – once as part of the method’s imperative code and then a second time by convention. In other words, it’s understandable to expect the previous code example would return this response. That’s probably not what you had in mind, is it? Using Data. Contract. Json. Serializer or Json. NET is no better.
This may seem obvious, but I want to point out that using a different manual serialization tool, like WCF’s Data. Contract. Json. Serializer or Json. NET, in place of Java. Script. Serializer above does not remedy the underlying problem. I only mention it because I’ve seen those variations of the mistake floating around too. If anything, in the case of Data.
Contract. Json. Serializer, it’s even worse. DCJS’ handling of Dictionary collections and Enums makes life unnecessarily tedious at times, and the code to manually invoke it is even more verbose than that for Java. Script. Serializer. The impact this mistake has on the client- side.
If it weren’t bad enough to add extra computational overhead on the server- side, cruft up the response with escaping backslashes, and increase the size of the JSON payload over the wire, this mistake carries a penalty on the client- side too. Most Java. Script frameworks automatically deserialize JSON responses, but (rightfully) only expect one level of JSON serialization. That means that the standard functionality provided by most libraries will only unwrap one level of the doubly serialized stack of JSON produced by the previous example. So, even after the response comes back and your framework has deserialized it once, you’ll still need to deserialize it a second time to finally extract a usable Java. Script object if you’ve made the mistake of manually serializing.
For example, this is code you might see to mitigate that in j. Query. $. ajax(. Not only is this more complicated and verbose than it needs to be, but it adds additional overhead on the client- side for absolutely no valid reason. Flipping the script (and the JSON)Redundant JSON serialization on responses is definitely one of the most common variations of this problem I’ve seen, but the inverse of that mistake also seems to be an alluring pitfall. Far too often, I’ve seen service methods that accept a single JSON string as their input parameter and then manually parse several intended inputs from that. Something like this to accept a Person object form the client- side and save it on the server- side, for example.
So, in reverse order, the approach above makes a mistake similar to the ones shown earlier. To make this work, we’d need to pass in JSON that looks something like this, obfuscating the actually desired input parameters inside a single, doubly- serialized string parameter. If you let go and just trust the service to handle JSON translation for you, “it just works”. ASP. NET does a great job of matching JSON- serialized request parameters to . NET’s types, collections, and even your own custom objects. For example this is how you could accept a Person object, which would even then allow you to call that object’s custom methods.
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