The nuances of data access are myriad, so when writing tests around complex data scenarios, I recommend just working with the actual database. Over time, you’ll find yourself with more valuable tests but, often, relatively slower tests compared to their in-memory alternatives. Like all things, there are trade-offs, but you can still strategize in making your tests faster.
In this post, I’ll show you how to take advantage of xUnit class fixtures and the OSS library Respawn to manage the state of your database across tests. This will help speed up your tests when faster steps replace a few expensive ones.
What is Respawn?
Respawn is a utility library designed to help developers reset databases to an “initial state”. With some configuration, Respawn can intelligently reset a database for testing use cases.
Other strategies might employ complete database tear-downs, complex transaction management, or expensive Docker containerization strategies. When mixed with your database management strategy around database migrations, look-up tables, and other stateful database elements, the overhead can compound over time and hurt the developer feedback loop many crave from an excellent test suite.
Respawn allows you to choose which tables and schemas to ignore in the reset process.
It also supports multiple database providers, including Microsoft SQL Server, Postgres, MySQL, Oracle, and Informix.
Using xUnit fixtures (which we’ll see later), you only need to call a single method to reset the database.
After every reset, your database will return to its initial state and be ready for another round of test assertions.
xUnit ReSpawn Fixture
I’ve created a sample Respawn and xUnit project with all the code in this blog post so you can try it out in your development environment.
For folks following along in the post, I’m using a GlobalUsing.cs
file for namespaces and some C# 12 (.NET 8)
features. Here are the required namespaces.
When working with Respawn, you’ll need a fixture. In the world of xUnit, fixtures are shared resources across test
classes. In the case of this sample, we’ll create a DatabaseFixture
, which will manage the database using
a Respawner
instance.
We must utilize the IAsyncLifetime
interface in xUnit to call Respawn’s asynchronous methods. I’ve also added a helper
method of GetOpenConnectionAsync
to make it easier to write tests using the fixture.
Note that the migration strategy in the fixture does not use any particular approach commonly found in the .NET ecosystem. You’ll likely use EF Core migrations, Roundhouse, DbUp, or another migration strategy. Adjust the code for your particular use case. I’ve also taken the steps to create the database if it does not currently exist. Creating the database might be optional based on your development environment.
Now let’s use our fixture in a new test class.
We use the IAsyncLifetime
interface again to ensure that our database is reset after each test is run. In
the DisposeAsync
method, we invoke the fixture’s ResetAsync
method, which resets our database to its initial state.
That’s it! Easy peasy.
On my development machine, the total time of the tests is about 250ms
, with the bulk of the time spent creating and
tearing down my database for the sample. In your use case, you can cut the cost of database creation and teardown by
creating the database outside the scope of the class fixture.
Conclusion
With Respawn and xUnit class fixtures, you can significantly improve your integration test performance and get a tighter feedback loop. You also get the added value of knowing your code is testing against the “real” thing. Integration tests can help catch behavioral changes in the underlying database technology and find issues with queries, and database features you’d otherwise miss when working with stubs.
I hope you found this post helpful, and please give the sample a try. I’ve set it up so you can run through this sample in seconds, and it should give you a great jumping-off point.
Thanks for reading and sharing my posts with friends and colleagues. Cheers.