Video Comparer 1 06 Keygen Generator
Julieann Rohde
Records are a pretty cool type, and by using source generators, we can express our value comparison intent with minimal changes. Try out the sample project and tell me what you think on Twitter at @buhakmeh. Thank you so much for reading and sharing my post with colleagues.
In my previous post I described some of the patterns you should use when building an incremental generator to ensure you don't slow your IDE's performance. In this post I show an approach to test that you're following that advice using unit tests.
This post builds directly on the previous post where I discuss potential performance issues with incremental generators. It also assumes that you have unit tests for your generators, using the CSharpGeneratorDriver, as described in an earlier post.
As a reminder, when we're talking about the performance of an incremental generator, we're not talking about the performance of the code that the source generator outputs. Rather, we're talking about how the performance of the generator itself when it runs inside the IDE. As discussed in the previous post, you can easily end up in a situation where you're performing huge amounts of work with every keypress in the IDE!
One of the key ways to reduce the work of the generator is to take advantage of the "incremental pipeline". Incremental generators are designed to heavily cache the values you output, and to use memoisation to significantly reduce the work your IDE has to do.
As an example, lets consider the EnumExtensions generator I've used as an example throughput this series. The generator pipeline might look something like the following example. I've added rough "names" to describe what each stage in the pipeline does.
Ensuring you have a layered, highly cacheable, incremental generator is one of the best ways to improve the overall performance of your generator in the IDE. The trouble is, it's not always obvious when you've accidentally not created a cacheable generator!
The incremental generator APIs don't prevent you from doing all sorts of things that could create terrible IDE performance issues. And while helpers exist to test that your generator produces the right output, it's much harder to test that your generators are caching correctly.
The helper methods rely on adding a "tracking name" to the output stages of your generator. This ensures you only compare the stages that you control, instead of the "internal" stages of the incremental generator pipeline, some of which won't be cached.
You can give a name to any of the output stages in your incremental generator pipeline by calling WithTrackingName(name) and passing in a string. To make them easier to work with later, I put all the tracking names in a class as consts:
The incremental generator pipeline will uses these names when storing the intermediate values of the pipeline, so we can retrieve them later! Next we'll look at the helper method that runs the generator and tests the outputs are all looking good.
The following class is a generic helper class, very similar to the version I showed earlier in this series. This is all "standard" code for setting up a source generator test run, it's the RunGeneratorAndAssertOutput method that's the interesting part we'll come to shortly.
Most of what I've shown so far is just about running the generator with some extra settings.Now we'll take a look at the AssertRunsEqual() method which compares the two GeneratorDriverRunResult instances to make sure we have the caching we expect!
Note that for each tracked output, there's a collection of IncrementalGeneratorRunSteps. This makes sense if you think about our enum generator: if we have two [EnumExtension] attributes, then each stage will run at least twice, once for each attribute instance.
Note that if you rely on custom comparers (using .WithComparer() on your output), then this simple comparison won't work. I haven't bothered working out if or how to use the custom comparer as I don't use them!
As I described in my previous post, you should pretty much never include ISymbol or Compilation in your incremental generator outputs, as it can cause various GC rooting issues, as well as being problematic for equality purposes.
The AssertObjectGraph() method shown below is based on a similar test used by the System.Text.Json source generator. It walks the object graph, using reflection to read each object's fields, and asserts that you're not using one of the "banned" types.
To test out the helper, I decided to sabotage my lovely, equatable, data model. I simply added an object to each instance. With this addition, two EnumToGenerate instances would never be considered equal, which would break caching in the generator:
Source generator performance is a tricky thing to understand, as it can be difficult to profile or debug generators in real-world usage. In my previous post I described a number of things you should consider when designing your generator to ensure the incremental pipeline can cache as many outputs as possible, and reduce the work your IDE has to do.
In this post I demonstrated some helper methods you can use to verify that you're sticking to the advice in the previous post, and that your generator is correctly incremental. The tests verify that your generator is caching the intermediate output steps, that your data model is equatable between runs, and that you're not using any problematic objects like Compilation.
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