Handling cross-layer context cancellation
I am developing a layered backend API with controllers, services, repositories, etc.
Context
Each method in these layers takes context.Context
as its first parameter containing the request context. This is convenient because any method can access various request-related data (such as correlationID, etc.)
Each request context has a timeout set by the following TimeoutMiddleware
:
func TimeoutMiddleware(timeoutFn func(*gin.Context) time.Duration) gin.HandlerFunc { return func(c *gin.Context) { timeout := timeoutFn(c) ctx, cancel := context.WithTimeout(c.Request.Context(), timeout) defer cancel() c.Request = c.Request.WithContext(ctx) c.Next() } } func TimeoutFn(c *gin.Context) time.Duration { return conf.HTTPRouter.DefaultContextTimeout }
challenge
The idea is to gracefully stop any ongoing operations when the request context times out. Based on my understanding of context and concurrency (very little), I built this helper function:
package helpers import "context" // Checks for context cancellation and returns ctx.Err() if canceled. func HandleContextCancel(ctx context.Context) error { select { case <-ctx.Done(): // If the context is canceled return ctx.Err() // return immediately with the canceled error. default: return nil // Continue with the normal processing. } }
In theory, if I wanted to stop any operation as quickly as possible, I would need to call this function at the beginning of every method in the application, like this: < /p>
func DoSomething(ctx context.Context, ...) resterrors.RestErr { if err := helpers.HandleContextCancel(ctx); err != nil { return resterrors.NewRequestTimeoutError( fmt.Errorf("DoSomething: %w", err), ) } // ...
Also, I know that in the repository that accesses the database, most functions require a Context, such as Query
, QueryRow
, Exec
...,As follows:
rows, err := pgclient.GetSession().Query(ctx, query, param1, ...)
So every time an error occurs in the line above, I have to check if the error is not due to context cancellation instead of just returning internal_server_error
and the error message like this:
rows, err := pgclient.GetSession().Query(ctx, query, param1, ...) if err != nil { return helpers.MapRepoError("DoSomething: Query Error:", err) }
func MapRepoError(location string, err error) resterrors.RestErr { if errors.Is(err, context.DeadlineExceeded) { return resterrors.NewRequestTimeoutError( fmt.Errorf("%s request_timeout", location), ) } return resterrors.NewInternalServerError( fmt.Errorf("%s %w", location, err), ) }
Using the HandleContextCancel
function looks a bit redundant, what do you think?
Correct answer
You don't need the HandleContextCancel
function, you can simply do the following:
if ctx.Err()!=nil { // Context timed out or canceled. Return return ctx.Err() }
If your other error handling functions wrap this error correctly (i.e. they implement the Unwrap() error
method, then you can check at the top level whether the error contains a timeout/cancellation error and decide if you To handle what type of errors like returns. You don't have to do this for every layer.
The above is the detailed content of Handling cross-layer context cancellation. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Golang is suitable for rapid development and concurrent scenarios, and C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for high-concurrency Web service development. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

Goimpactsdevelopmentpositivelythroughspeed,efficiency,andsimplicity.1)Speed:Gocompilesquicklyandrunsefficiently,idealforlargeprojects.2)Efficiency:Itscomprehensivestandardlibraryreducesexternaldependencies,enhancingdevelopmentefficiency.3)Simplicity:

Goisidealforbeginnersandsuitableforcloudandnetworkservicesduetoitssimplicity,efficiency,andconcurrencyfeatures.1)InstallGofromtheofficialwebsiteandverifywith'goversion'.2)Createandrunyourfirstprogramwith'gorunhello.go'.3)Exploreconcurrencyusinggorout

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

C is more suitable for scenarios where direct control of hardware resources and high performance optimization is required, while Golang is more suitable for scenarios where rapid development and high concurrency processing are required. 1.C's advantage lies in its close to hardware characteristics and high optimization capabilities, which are suitable for high-performance needs such as game development. 2.Golang's advantage lies in its concise syntax and natural concurrency support, which is suitable for high concurrency service development.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.
