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Structured exception handling and defensive programming are the two pillars of robust software.

Both pillars fail however when it comes to handling internal faults, those that normally originate in software defects rather than in any external factors.

In this webinar, Zoran Horvat demonstrates advanced defensive coding techniques that can bring the quality of your code to an entirely new level.

Watch the webinar and learn:

  • When throwing an exception is the right thing to do
  • Why exceptions and defensive coding cannot be applied to recover from defects
  • How to handle situations when internal software defect is causing the fault
  • How to treat fault detection as an orthogonal concern to normal operation

Advanced Defensive Programming Techniques on Vimeo.

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Q&A

Coming soon...

About the speaker, Zoran Horvat

Matt Warren

After fifteen years in development and after leading a dozen of development teams, Zoran has turned to training, publishing and recording video courses for Pluralsight, eager to share practical experience with fellow programmers. Zoran is currently working as CEO and principal consultant at Coding Helmet Consultancy, a startup he has established to streamline in-house training and production of video courses. Zoran's blog.

 

Modern business applications rely heavily on rich domain classes, which in turn rely heavily on polymorphic execution, code reuse and similar concepts.

How can we extend rich domain classes to support complex requirements?

In this webinar, Zoran Horvat will show why an object composition approach is favored over class inheritance when it comes to code reuse and polymorphism.

Watch the webinar to learn:

  • How class inheritance can lead to combinatorial explosion of classes
  • What the limitations of object composition are
  • What design patterns help consume composed objects
  • Techniques for creating rich features on composed objects

Applying Object Composition to Build Rich Domain Models on Vimeo.

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Q&A

Q: How to control if visitor always matches concrete object and there is no implicit conversion?

A: Visitor is designed to match concrete objects. If there is the need to support out-of-band objects, like objects from one hierarchy that can be converted to objects from a different hierarchy, then the compiler will have hard time trying to understand which method of the visitor to invoke.

Major selling point of the Visitor pattern is that it makes obvious to the compiler which method to invoke in every possible situation. The variation – which concrete implementation of a method to invoke – has been turned into an object, a visitor object. That makes it possible to reach enormous flexibility at run time, while remaining within premises of strong types all the time. Not so many designs can do that.

Q: What happened to simplicity? Seems like you are a making an alternative to LINQ-to-Objects to avoid having to deal with a solution, that you call ugly. It seems over-complicated.

A: There are no elegant solutions in complex domains, and certainly no simple ones. It’s only different places to hold complexity. The goal of the game is to make client code simple.

In Visitor pattern, concrete visitors will encapsulate complexity. Chaining calls approach has only saved the caller from having to know the visitor protocol.

One alternative was mentioned by a viewer: Make classes with no common base class implement common interfaces. This is a viable solution unless distinct classes come with different method dependencies and different calling protocols. At that moment, common interface idea is off.

Another alternative is Chain of Responsibility pattern, which I have applied to this same problem in the Tactical Design Patterns in .NET: Managing Responsibilities course on Pluralsight. It works nicely, but fails to differentiate subtle cases, like what happens if an object contains more than one component of requested type.

The worst options are bare hierarchy of classes and public composition (in which the object exposes its content). Class hierarchy promotes code duplication. Public composition prevents future maintenance of the composed class.

Q: Would it be possible for OfClassification<T> method to return an IEnumerable<T> instaled of IEnumerable<Animal>?

A: Classification objects do not reference their containing Animal – that was the design decision. It might be better to expect OfClassification<T> to return IEnumerable<Tuple<Animal, T>>, which then gives entire information to the consumer.

Another question here is how will this method behave if one animal object contains multiple classification objects of the same type – will it return multiple records then? That is one of the difficulties in approach I have shown in the webinar.

Q: Why not use dynamic to implement double dispatch instead of the visitor pattern?

A: Because you don’t know whether the dynamic object will even have the desired feature (like the Start() method which only exists on the Run class). Fundamental feature of double dispatch mechanism is that it lets two concrete objects meet each other.

Q: How to apply the Visitor pattern and composition altogether with dependency injection?

A: Visitor can be injected using common DI techniques. It boils down to selecting a concrete visitor, which is exactly what DI frameworks are good at. There are subtle issues here, though, but they are not hard to resolve. For example, I have requested target objects in all visitor constructors. That would have to be redesigned to fit DI, but as I said, it’s not too hard.

Composition does not fit the DI pattern since there is no object that implements certain type. It is rather an object which is constructed in certain way. We could argue that composite objects are closer to the Builder pattern which codifies the process of building a complex object. In that respect, IoC container (which implements DI) would rather resemble Abstract Factory, which is of lower complexity level compared to the Builder.

Q: How do you persist encapsulated domain entities to database without breaking encapsulation?

A: The persistence problem is not related to application of Visitor pattern, or object composition, as it exists in class hierarchies as well.
There are two levels at which we can attack it. One is to use ORM which can access private data members of a class. Entity Framework and Hibernate can both access private members. You can use that approach to some extent.

In really complex domains differences between OO model and relational model are significant. When you see that persistence is affecting domain model in adverse ways, it is probably time to separate domain model from persistence model. You can then apply a mapping framework to convert proper OO model into flat persistence model and vice versa.

Q: Can we call this pattern in borderlines of SOLID principles?

A: Depending on application, Visitor pattern may be seen as enforcement to SOLID principles, or as an adversary. Here are some guidelines on that:

S – Single responsibility – Each concrete visitor deals with only one feature. Visitor pattern enforces SRP more than the original hierarchy of classes which were doing more than one thing each.

O – Open for extension, closed for modification – If you have a fixed hierarchy, then you will never have to modify abstract visitor. That is the primary niche of the Visitor pattern. It is natively applicable to fixed hierarchies – like classes of animal species, or types of bank accounts, etc. It also supports easy extension, because extending the system boils down to implementing new concrete visitor.

L – Liskov substitution principle – Methods of original concrete classes are now moved to concrete visitors. LSP is violated if a derived class adds method preconditions. Therefore, if original classes had new preconditions added, then concrete visitors hill have to add them too. Conversely, Visitor pattern will violate LSP to exactly the same extent as original classes did.

I – Interface segregation – Original class can implement one interface per concrete operation. With Visitor pattern, each concrete visitor would represent one such interface. Segregation then boils down to selection of a visitor object, which is even more flexible than compile-time interface segregation. This means that concrete visitors will satisfy ISP at least to the same extent as original classes did.

D – Dependency inversion – Since each concrete visitor is a separate class, and all visitors share the same base type, it is possible to inject them as polymorphic dependencies. That is the premise of inversion of control principle. Also, this was the case with original classes which had the same feature. Therefore, DI is supported by both the class hierarchy and by the corresponding hierarchy of visitors.

Conclusion is that the only true difficulty with the Visitor pattern is when the hierarchy of classes is not stable. If we have to add new classes to the hierarchy, then we will have troubles implementing and maintaining the hierarchy of visitors.

Q: How will be the application performance with this approach when we need create several methods?

A: From source code perspective nothing will change. Solution will contain exactly the same number of methods, only they will be moved to different classes.

From run time performance point of view, there is only a negligent penalty. Where one virtual method used to be called, now we will have two virtual methods called. That does not give sufficient motivation to consider performance loss due to application of the Visitor pattern.

About the speaker, Zoran Horvat

Matt Warren

After fifteen years in development and after leading a dozen of development teams, Zoran has turned to training, publishing and recording video courses for Pluralsight, eager to share practical experience with fellow programmers. Zoran is currently working as CEO and principal consultant at Coding Helmet Consultancy, a startup he has established to streamline in-house training and production of video courses. Zoran's blog.

 

Starting with the premise that "Performance is a Feature", Matt Warren will show you how to measure, what to measure and how to get the best performance from your .NET code.

We will look at real-world examples from the Roslyn code-base and StackOverflow (the product), including how the .NET Garbage Collector needs to be tamed!

Watch the webinar to learn:

  • Why we should care about performance
  • Pitfalls to avoid when measuring performance
  • How the .NET Garbage Collector can hurt performance
  • Real-world performance lessons from Open-source code

Performance is a Feature on Vimeo.

You can find the slide deck here: http://www.slideshare.net/sharpcrafters/adsa-69947835

Q&A

Q: Does LINQ perfomance problem raise only in Roslyn or does it have a place with older .Net platforms?

A: With regards to LINQ, there are no major differences in the Roslyn compiler compared to the older one. So performance issues can exist in LINQ across all .NET compiler versions. The example was included because it was a change made to the Roslyn code base itself, not to the code it produces when compiling LINQ.

Q: What is the best setting for GC on Win Server 2012 R2 which hosts 250 ASP.NET MVC apps on IIS. I am talking about gcConcurrent and gcServer in aspnet.config file.

A: Generally, server mode is the best when you are running on a server, but you actually don’t need to do anything, because it’s the default mode in ASP.NET Apps, from https://msdn.microsoft.com/en-us/library/ee787088(v=vs.110).aspx
You can also specify server garbage collection with unmanaged hosting interfaces. Note that ASP.NET and SQL Server enable server garbage collection automatically if your application is hosted inside one of these environments.

Q: Do we get hints, how to measure or which tools are recommended to measure performance issues?

I really like PerfView, it takes a while to find your way around it, but it’s worth it. This post by Ben Watson will help you get started http://www.philosophicalgeek.com/2012/07/16/how-to-debug-gc-issues-using-perfview/, plus these tutorials https://channel9.msdn.com/Series/PerfView-Tutorial I’ve also used the JetBrains and RedGate profiling tools and they are all very good

Q: What other techniques can be applied for embedded dotnet, single use application, to avoid unpredicttable GC hesitation. Considering the embedded device is not memory constrained.

A: Cut down your unnecessary allocations, take a look with a tool like PerfView (or any other .NET profiler) to see what’s being allocated and if you can remove it. This post by Ben Watson will help you get started with PerfView http://www.philosophicalgeek.com/2012/07/16/how-to-debug-gc-issues-using-perfview/. PerfView will also tell you how long the GC pauses are, so you can confirm if they are really impacting your application or not.

Q: How is benchmarking different from finding the difference of timespan between start and end of a function?

A: BenchmarkDotNet does a few things to make its timings are accurate as they can be:

  1. Using Stopwatch rather than TimeSpan, as it’s more accurate and has less overhead.
  2. Call the [Benchmark] method once, outside the timer, so that the one-time effects of JITting the method are included in the timings.
  3. Call the [Benchmark] method several times, in a loop. Even Stopwatch has a limited granularity, so that has to be accounted for, when the methods only takes several nanoseconds to execute.

Q: This is not a question, but an answer for the question about examples for Unit tests not showing performance issues. We need to load data from Azure / SQL server in production, but in Unit tests we have a mock service that responses immediately

A: Thanks, that’s another great example, a mock service is going to perform much quicker than a real service!

Q: What measure could point me in the right direction to know that I could benefit from object pooling?

A: See Tip 3 and Tip 4 in this blog post by Ben Watson http://www.philosophicalgeek.com/2012/06/04/4-essential-tips-for-high-performance-garbage-collection-on-servers/ for a really great discussion on ‘object pooling'.

Q: How does benchmarking work on asynchronous code?

A: Currently we don’t do anything special in BenchmarkDotNet to help you benchmark asynchronous code. It’s actually a really hard thing to do accurately and so we are waiting till after the 1.0 release before we tackle it, sorry!

 

About the speaker, Matt Warren

Matt Warren

Matt is a C# dev who loves nothing more than finding and fixing performance issues. He's worked with Azure, ASP.NET MVC and WinForms on projects such as a web-site for storing government weather data, medical monitoring devices and an inspection system that ensured kegs of beer didn't leak! He’s an Open Source contributor to BenchmarkDotNet and RavenDB. Matt currently works on the C# production profiler at ca and blogs at www.mattwarren.org.