Context
You can find all the code for this chapter here
Software often kicks off long-running, resource-intensive processes (often in goroutines). If the action that caused this gets cancelled or fails for some reason you need to stop these processes in a consistent way through your application.
If you don't manage this your snappy Go application that you're so proud of could start having difficult to debug performance problems.
In this chapter we'll use the package context
to help us manage long-running processes.
We're going to start with a classic example of a web server that when hit kicks off a potentially long-running process to fetch some data for it to return in the response.
We will exercise a scenario where a user cancels the request before the data can be retrieved and we'll make sure the process is told to give up.
I've set up some code on the happy path to get us started. Here is our server code.
The function Server
takes a Store
and returns us a http.HandlerFunc
. Store is defined as:
The returned function calls the store
's Fetch
method to get the data and writes it to the response.
We have a corresponding stub for Store
which we use in a test.
Now that we have a happy path, we want to make a more realistic scenario where the Store
can't finish aFetch
before the user cancels the request.
Write the test first
Our handler will need a way of telling the Store
to cancel the work so update the interface.
We will need to adjust our spy so it takes some time to return data
and a way of knowing it has been told to cancel. We'll also rename it to SpyStore
as we are now observing the way it is called. It'll have to add Cancel
as a method to implement the Store
interface.
Let's add a new test where we cancel the request before 100 milliseconds and check the store to see if it gets cancelled.
From the Go Blog: Context
The context package provides functions to derive new Context values from existing ones. These values form a tree: when a Context is canceled, all Contexts derived from it are also canceled.
It's important that you derive your contexts so that cancellations are propagated throughout the call stack for a given request.
What we do is derive a new cancellingCtx
from our request
which returns us a cancel
function. We then schedule that function to be called in 5 milliseconds by using time.AfterFunc
. Finally we use this new context in our request by calling request.WithContext
.
Try to run the test
The test fails as we'd expect.
Write enough code to make it pass
Remember to be disciplined with TDD. Write the minimal amount of code to make our test pass.
This makes this test pass but it doesn't feel good does it! We surely shouldn't be cancelling Store
before we fetch on every request.
By being disciplined it highlighted a flaw in our tests, this is a good thing!
We'll need to update our happy path test to assert that it does not get cancelled.
Run both tests and the happy path test should now be failing and now we're forced to do a more sensible implementation.
What have we done here?
context
has a method Done()
which returns a channel which gets sent a signal when the context is "done" or "cancelled". We want to listen to that signal and call store.Cancel
if we get it but we want to ignore it if our Store
manages to Fetch
before it.
To manage this we run Fetch
in a goroutine and it will write the result into a new channel data
. We then use select
to effectively race to the two asynchronous processes and then we either write a response or Cancel
.
Refactor
We can refactor our test code a bit by making assertion methods on our spy
Remember to pass in the *testing.T
when creating the spy.
This approach is ok, but is it idiomatic?
Does it make sense for our web server to be concerned with manually cancelling Store
? What if Store
also happens to depend on other slow-running processes? We'll have to make sure that Store.Cancel
correctly propagates the cancellation to all of its dependants.
One of the main points of context
is that it is a consistent way of offering cancellation.
Incoming requests to a server should create a Context, and outgoing calls to servers should accept a Context. The chain of function calls between them must propagate the Context, optionally replacing it with a derived Context created using WithCancel, WithDeadline, WithTimeout, or WithValue. When a Context is canceled, all Contexts derived from it are also canceled.
From the Go Blog: Context again:
At Google, we require that Go programmers pass a Context parameter as the first argument to every function on the call path between incoming and outgoing requests. This allows Go code developed by many different teams to interoperate well. It provides simple control over timeouts and cancelation and ensures that critical values like security credentials transit Go programs properly.
(Pause for a moment and think of the ramifications of every function having to send in a context, and the ergonomics of that.)
Feeling a bit uneasy? Good. Let's try and follow that approach though and instead pass through the context
to our Store
and let it be responsible. That way it can also pass the context
through to its dependants and they too can be responsible for stopping themselves.
Write the test first
We'll have to change our existing tests as their responsibilities are changing. The only thing our handler is responsible for now is making sure it sends a context through to the downstream Store
and that it handles the error that will come from the Store
when it is cancelled.
Let's update our Store
interface to show the new responsibilities.
Delete the code inside our handler for now
Update our SpyStore
We have to make our spy act like a real method that works with context
.
We are simulating a slow process where we build the result slowly by appending the string, character by character in a goroutine. When the goroutine finishes its work it writes the string to the data
channel. The goroutine listens for the ctx.Done
and will stop the work if a signal is sent in that channel.
Finally the code uses another select
to wait for that goroutine to finish its work or for the cancellation to occur.
It's similar to our approach from before, we use Go's concurrency primitives to make two asynchronous processes race each other to determine what we return.
You'll take a similar approach when writing your own functions and methods that accept a context
so make sure you understand what's going on.
Finally we can update our tests. Comment out our cancellation test so we can fix the happy path test first.
Try to run the test
Write enough code to make it pass
Our happy path should be... happy. Now we can fix the other test.
Write the test first
We need to test that we do not write any kind of response on the error case. Sadly httptest.ResponseRecorder
doesn't have a way of figuring this out so we'll have to roll our own spy to test for this.
Our SpyResponseWriter
implements http.ResponseWriter
so we can use it in the test.
Try to run the test
Write enough code to make it pass
We can see after this that the server code has become simplified as it's no longer explicitly responsible for cancellation, it simply passes through context
and relies on the downstream functions to respect any cancellations that may occur.
Wrapping up
What we've covered
How to test a HTTP handler that has had the request cancelled by the client.
How to use context to manage cancellation.
How to write a function that accepts
context
and uses it to cancel itself by using goroutines,select
and channels.Follow Google's guidelines as to how to manage cancellation by propagating request scoped context through your call-stack.
How to roll your own spy for
http.ResponseWriter
if you need it.
What about context.Value ?
Michal Štrba and I have a similar opinion.
If you use ctx.Value in my (non-existent) company, you’re fired
Some engineers have advocated passing values through context
as it feels convenient.
Convenience is often the cause of bad code.
The problem with context.Values
is that it's just an untyped map so you have no type-safety and you have to handle it not actually containing your value. You have to create a coupling of map keys from one module to another and if someone changes something things start breaking.
In short, if a function needs some values, put them as typed parameters rather than trying to fetch them from context.Value
. This makes it statically checked and documented for everyone to see.
But...
On other hand, it can be helpful to include information that is orthogonal to a request in a context, such as a trace id. Potentially this information would not be needed by every function in your call-stack and would make your functional signatures very messy.
Jack Lindamood says Context.Value should inform, not control
The content of context.Value is for maintainers not users. It should never be required input for documented or expected results.
Additional material
I really enjoyed reading Context should go away for Go 2 by Michal Štrba. His argument is that having to pass
context
everywhere is a smell, that it's pointing to a deficiency in the language in respect to cancellation. He says it would better if this was somehow solved at the language level, rather than at a library level. Until that happens, you will needcontext
if you want to manage long running processes.
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