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The new async/await keywords in C# are pretty awesome, and makes life an awful lot easier when writing asynchronous and non-blocking IO code. However, for those of us who are using frameworks such as PostSharp to deal with cross-cutting concerns we now face a new challenge – the aspects which we have come to rely upon no longer works the way we expect them to when applied on async methods (which returns void, Task or Task<T>), as can be seen from the examples below:
So what’s wrong here?
If you take a look at the code from the above example using a decompiler such as JetBrain’s DotPeek, you’ll see that the normal synchronous version of Foo looks something along the line of:
As you can see, the weaved code include calls to the OnEntry, OnSuccess and OnException methods provided by the OnMethodBoundaryAspect class, so everything is as expected here.
For FooAsync however, the picture is a little more complicated:
Turns out the C# compiler rewrites async methods into a state machine which means that although the OnSuccess and OnException hooks are still in place, they’re not telling us when the body of the method succeeds or fails but instead, when the state machine creation has succeeded or failed!
Pretty big bummer, eh?
One way (and the best way I can think of for now) to get around this is to have a special aspect which works with methods that return Task or Task<T> and hook up continuations to be executed after the returned tasks had finished. Something similar to the below will do for the on method boundary aspect:
And then you can create a TraceAsync attribute that works for async methods:
As you can see from the output above, our new OnTaskFinished, OnTaskFaulted and OnTaskCompletion hooks are correctly executed after the task returned by the async method had finished, faulted due to exception or ran to completion!
The same approach can also be applied to other built-in aspects such as the MethodInterceptionAspect class.
Before you go…
However, there are a two things you should consider first before jumping into the workaround proposed above.
1. if you look at the output from the previous example carefully, you’ll see that the line “FooAsync finished” came AFTER “Entering Boo” even though from the test code we have awaited the completion of FooAsync before calling Boo. This is because the continuations are executed asynchronously.
If this behaviour is not desirable to you, there is a very simple fix. Back in the OnAsyncMethodBoundAspect class we defined above, simply add TaskContinuationOptions.ExecuteSynchronously to each of the continuations:
2. the proposed solution still wouldn’t work with async methods that return void simply because there are no returned Task/Task<T> objects to hook up continuations with. In general though, you should avoid having async void methods as much as possible because they introduce some pitfalls which you really wouldn’t want to find yourself in! I’ve discussed the problem with aysnc void (and some potential workarounds) in a previous post here.
I hope this post proves useful to you, and happy PostSharp’ng! I hear some big things are coming in this space
Hi, I’m Yan. I’m an AWS Serverless Hero and I help companies go faster for less by adopting serverless technologies successfully.
Are you struggling with serverless or need guidance on best practices? Do you want someone to review your architecture and help you avoid costly mistakes down the line? Whatever the case, I’m here to help.
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We will start at the basics and give you a firm introduction to Lambda and all the relevant concepts and service features (including the latest announcements in 2020). And then gradually ramping up and cover a wide array of topics such as API security, testing strategies, CI/CD, secret management, and operational best practices for monitoring and troubleshooting.
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Check out my new podcast Real-World Serverless where I talk with engineers who are building amazing things with serverless technologies and discuss the real-world use cases and challenges they face. If you’re interested in what people are actually doing with serverless and what it’s really like to be working with serverless day-to-day, then this is the podcast for you.
Check out my new course, Learn you some Lambda best practice for great good! In this course, you will learn best practices for working with AWS Lambda in terms of performance, cost, security, scalability, resilience and observability. We will also cover latest features from re:Invent 2019 such as Provisioned Concurrency and Lambda Destinations. Enrol now and start learning!
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Here is a complete list of all my posts on serverless and AWS Lambda. In the meantime, here are a few of my most popular blog posts.
- All you need to know about caching for serverless applications
- Lambda optimization tip – enable HTTP keep-alive
- You are wrong about serverless and vendor lock-in
- You are thinking about serverless costs all wrong
- Just how expensive is the full AWS SDK?
- Check-list for going live with API Gateway and Lambda
- How to choose the right API Gateway auth method
- CloudFormation protip: use !Sub instead of !Join
- AWS Lambda – should you have few monolithic functions or many single-purposed functions?
- Guys, we’re doing pagination wrong
- Top 10 Serverless framework best practices
- How to break the “senior engineer” career ceiling
- My advice to junior developers