Joydip Kanjilal
Contributor

How to write performance tests using NBench

how-to
Jul 24, 20174 mins
App TestingSmall and Medium BusinessSoftware Development

Take advantage of NBench to analyze code throughput, memory allocations, and GC overhead in your .NET application

When working with applications, you will often want to know the memory allocation, garbage collection (GC) overhead, and throughput of the code. Your application might be slow, or it might be consuming a lot of resources, and you want to find out what’s wrong.

Although you can detect functional problems and code defects using unit tests and code reviews, you might still need a way to isolate performance issues. Here’s where NBench comes in handy. This article presents a discussion of NBench and how we can use it to write performance tests for .NET applications.

What is NBench? Why should I use it?

NBench is a popular performance testing framework that can be used to profile the performance of methods in our application. NBench can measure the throughput of your application’s code, the memory allocation, and the GC overhead involved in reclaiming memory by cleaning up unwanted objects.

You can leverage NBench to “unit test” your application’s performance much the same way you write unit tests using the XUnit or NUnit frameworks. The thing I like best about NBench is that it can be integrated into your build pipeline. And even though NBench has its own runner, you can still run NBench using NUnit or Resharper. It feels just like running your unit tests.

NBench is distributed as a NuGet package. Assuming that Visual Studio is already installed on your system, you can install NBench via the NuGet package manager or by using the following command in the package manager Console.

Install-Package NBench

You should also install the NBench.Runner package, which is used to run your benchmark. You can do that via NuGet also, or execute the following command from the package manager console.

Install-Package NBench.Runner

If you’re like me, you’ll want to run your NBench performance tests using NUnit. You might look into using Pro.NBench.xUnit as well. Pro.NBench.xUnit allows you to discover, run, or debug NBench tests using xUnit in ReSharper. 

Writing performance tests using NBench

Let’s explore how we can write and execute performance tests using NBench. Create a new class library project, and save it with a helpful name. Next, add the NBench and NBench.Runner packages I mentioned above. Here is the start of our NBench performance test method.

[PerfBenchmark(NumberOfIterations = 1, RunMode = RunMode.Throughput,
TestMode = TestMode.Test, SkipWarmups = true)]
[ElapsedTimeAssertion(MaxTimeMilliseconds = 5000)]
public void Benchmark_Performance_ElaspedTime()
{
    //Write your code to be benchmarked here
}

Note that because we are benchmarking performance, we need to mark our method using the PerfBenchmark attribute. This attribute tells the runner what to do with this method. We also need to include one or more measurement attributes. Since we are testing for speed of execution, we use the ElapsedTimeAssertion attribute to specify the time within which the method should complete. There are many other assertion attributes that you can take advantage of. The supported assertions in NBench include the following:

  • MemoryAssertionAttribute
  • GcTotalAssertionAttribute
  • ElapsedTimeAssertionAttribute
  • CounterTotalAssertionAttribute
  • GcThroughputAssertionAttribute
  • CounterThroughputAssertionAttribute
  • PerformanceCounterTotalAssertionAttribute
  • PerformanceCounterTotalAssertionAttribute

The following method illustrates how we can benchmark the performance of the garbage collector. The Benchmark_Performance_GC method gives us the max, min, average, and standard deviation of collections that occur for each of the three GC generations (generation 0, 1, and 2).

[PerfBenchmark(RunMode = RunMode.Iterations, TestMode = TestMode.Measurement)]
[GcMeasurement(GcMetric.TotalCollections, GcGeneration.AllGc)]
public void Benchmark_Performance_GC()
{
    //Write your code to be benchmarked here
}

If you want to benchmark performance based on memory consumption, here is a test method you can use.

[PerfBenchmark(Description ="You can write your description here.",
NumberOfIterations = 5, RunMode = RunMode.Throughput, RunTimeMilliseconds = 2500, TestMode = TestMode.Test)]
[MemoryAssertion(MemoryMetric.TotalBytesAllocated, MustBe.LessThanOrEqualTo, ByteConstants.SixtyFourKb)]
public void Benchmark_Performance_Memory()
{
    //Write your code to be benchmarked here
}

The MemoryAssertion attribute can be used to specify that you want to restrict the method under test to consume not more than the specified amount of memory in each run of the benchmark. As an example, if the method shown above consumes more that 64KB of memory, the test is considered to have failed.

Note that in each of the code examples I have shown above, I skipped the code that is to be benchmarked. Benchmarking the methods of your application is a simple matter of pasting your code into the benchmark methods where I’ve indicated.

An open-source, cross-platform, automated performance profiling framework for .NET applications, NBench makes performance and stress testing almost as easy as writing and executing unit tests. You can easily integrate NBench with unit testing frameworks like NUnit. You can even integrate NBench with xUnit and run the tests in ReSharper or the Visual Studio Test Explorer. You can learn more about NBench on GitHub and at the Petabridge website

Joydip Kanjilal
Contributor

Joydip Kanjilal is a Microsoft Most Valuable Professional (MVP) in ASP.NET, as well as a speaker and the author of several books and articles. He received the prestigious MVP award for 2007, 2008, 2009, 2010, 2011, and 2012.

He has more than 20 years of experience in IT, with more than 16 years in Microsoft .Net and related technologies. He has been selected as MSDN Featured Developer of the Fortnight (MSDN) and as Community Credit Winner several times.

He is the author of eight books and more than 500 articles. Many of his articles have been featured at Microsoft’s Official Site on ASP.Net.

He was a speaker at the Spark IT 2010 event and at the Dr. Dobb’s Conference 2014 in Bangalore. He has also worked as a judge for the Jolt Awards at Dr. Dobb's Journal. He is a regular speaker at the SSWUG Virtual Conference, which is held twice each year.

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