Skip to main content

Serialized headaches when you combine .NET Core and .NET 4.6

When I'm involved in an application development project, I try all the time to keep the language ecosystem reduced as much as possible. Even if we are leaving in a world where interoperability is higher than ever, there are times when because of this you can lose a lot of time because of it.

Let's take the below example:
  • An Azure Function application wrote in .NET 4.6 that send messages to Azure Service Bus Topic. Inside the message body content is serialized in JSON format
  • An Azure Web App application wrote in .NET Core that receives messages from Azure Service Topic and displays it on the UI.

Everything it is okay until you run the code and an error occurs during deserialization. When you take a look at what you send and receive you see the following:

.NET 4.6 OUTPUT:       @ string 3http://schemas.microsoft.com/2003/10/Serialization/�k{"CountryCode":"RO","AlertType":0,"Level":5,"ValidFrom":"2018-04-05T10:14:00.0458475Z","Period":"00:02:00"}
.NET Core EXPECT:    {"CountryCode":"RO","AlertType":0,"Level":5,"ValidFrom":"2018-04-05T10:14:00.0458475Z","Period":"00:02:00"}

Both implementations are using Newtonsoft library for content serialization and deserialization, but it seems that the behavior is different.

.NET 4.6 Sample
string jsonWeatherAlert = JsonConvert.SerializeObject(weatherAlert);
BrokeredMessage message = new BrokeredMessage(jsonWeatherAlert);
message.Properties.Add("countrycode", weatherAlert.CountryCode);
topicClient.Send(message);
.NET Core Sample
string bytesAsString = Encoding.UTF8.GetString(message.Body);
WeatherAlert alert = JsonConvert.DeserializeObject<WeatherAlert>(bytesAsString);

The root cause of this problem is related to what kind of default serializer it is used behind the scene. One of them it is using DataContract and bytes directly from the stream VS the other one that it is using DataContractBinarySerializer and GetBody<Streeam> to load all bytes.
This difference has a direct impact not only on the Newtonsoft library but also to Service Bus library if you want to use it directly.

To solve the problem you need on the sender or received to change the default serializer library that it is used. In our case, we updated the .NET 4.6 implementation in the following way.
var jsonSerializar = new DataContractJsonSerializer(typeof(WeatherAlert)); 
BrokeredMessage message = new BrokeredMessage(weatherAlert, jsonSerializar); 
message.Properties.Add("countrycode", weatherAlert.CountryCode); topicClient.Send(message);

If you want to find more about it, I invite you to read the following link discussion https://github.com/Azure/azure-service-bus-dotnet/issues/239

Comments

Popular posts from this blog

Why Database Modernization Matters for AI

  When companies transition to the cloud, they typically begin with applications and virtual machines, which is often the easier part of the process. The actual complexity arises later when databases are moved. To save time and effort, cloud adoption is more of a cloud migration in an IaaS manner, fulfilling current, but not future needs. Even organisations that are already in the cloud find that their databases, although “migrated,” are not genuinely modernised. This disparity becomes particularly evident when they begin to explore AI technologies. Understanding Modernisation Beyond Migration Database modernisation is distinct from merely relocating an outdated database to Azure. It's about making your data layer ready for future needs, like automation, real-time analytics, and AI capabilities. AI needs high throughput, which can be achieved using native DB cloud capabilities. When your database runs in a traditional setup (even hosted in the cloud), in that case, you will enc...

Cloud Myths: Migrating to the cloud is quick and easy (Pill 2 of 5 / Cloud Pills)

The idea that migration to the cloud is simple, straightforward and rapid is a wrong assumption. It’s a common misconception of business stakeholders that generates delays, budget overruns and technical dept. A migration requires laborious planning, technical expertise and a rigorous process.  Migrations, especially cloud migrations, are not one-size-fits-all journeys. One of the most critical steps is under evaluation, under budget and under consideration. The evaluation phase, where existing infrastructure, applications, database, network and the end-to-end estate are evaluated and mapped to a cloud strategy, is crucial to ensure the success of cloud migration. Additional factors such as security, compliance, and system dependencies increase the complexity of cloud migration.  A misconception regarding lift-and-shits is that they are fast and cheap. Moving applications to the cloud without changes does not provide the capability to optimise costs and performance, leading to ...

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills)

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills) The idea that moving to the cloud reduces the costs is a common misconception. The cloud infrastructure provides flexibility, scalability, and better CAPEX, but it does not guarantee lower costs without proper optimisation and management of the cloud services and infrastructure. Idle and unused resources, overprovisioning, oversize databases, and unnecessary data transfer can increase running costs. The regional pricing mode, multi-cloud complexity, and cost variety add extra complexity to the cost function. Cloud adoption without a cost governance strategy can result in unexpected expenses. Improper usage, combined with a pay-as-you-go model, can result in a nightmare for business stakeholders who cannot track and manage the monthly costs. Cloud-native services such as AI services, managed databases, and analytics platforms are powerful, provide out-of-the-shelve capabilities, and increase business agility and innovation. H...